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<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2024.1494388</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Global temporal trends and projections of hepatitis B-related cirrhosis among adolescents and young adults from 1990 to 2035: an analysis based on the global burden of disease study 2021</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>He</surname> <given-names>Quanwei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn0004"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Chang</surname> <given-names>Xiujuan</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn0004"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Xu</surname> <given-names>Ran</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<name><surname>Han</surname> <given-names>Wei</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<name><surname>Wang</surname> <given-names>Sihao</given-names></name>
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<name><surname>Gong</surname> <given-names>Shujuan</given-names></name>
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<name><surname>Huang</surname> <given-names>Jiagan</given-names></name>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Liu</surname> <given-names>Jiangtao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c003"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Zhang</surname> <given-names>Rugang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Yang</surname> <given-names>Yongping</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Gastroenterology, Hainan Hospital of Chinese PLA General Hospital</institution>, <addr-line>Sanya</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Medical School of Chinese PLA</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Hepatology, The Fifth Medical Center of Chinese PLA General Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0005">
<p>Edited by: Faris Lami, University of Baghdad, Iraq</p>
</fn>
<fn fn-type="edited-by" id="fn0006">
<p>Reviewed by: Yuen Gao, Michigan State University, United States</p>
<p>Jian-Ming Zheng, Fudan University, China</p>
<p>Zaiwei Song, Peking University Third Hospital, China</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Yongping Yang, <email>yongpingyang@hotmail.com</email></corresp>
<corresp id="c002">Rugang Zhang, <email>zrg026@163.com</email></corresp>
<corresp id="c003">Jiangtao Liu, <email>liujiangtao0813@sina.com</email></corresp>
<fn fn-type="equal" id="fn0004"><p><sup>&#x2020;</sup>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>01</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>12</volume>
<elocation-id>1494388</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>09</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>12</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 He, Chang, Xu, Han, Wang, Gong, Huang, Liu, Zhang and Yang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>He, Chang, Xu, Han, Wang, Gong, Huang, Liu, Zhang and Yang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Background</title>
<p>Chronic hepatitis B and cirrhosis pose significant global health threats. Few studies have explored the disease burden and mortality trend of cirrhosis caused by hepatitis B virus infection among adolescents and young adults (AYAs, aged 15&#x2013;39&#x202F;years). This study aimed to assess the disease burden and trends.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>Publicly available data were obtained from the 2021 GBD database. The rates of incidence, mortality, and disability-adjusted life years were calculated at the global, regional, and national levels. Temporal trends were assessed using joinpoint regression analysis, while the Bayesian age-period-cohort model was used to predict future trends.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>From 1990 to 2021, the global incidence rate of hepatitis B-related cirrhosis decreased from 111.33 (95% uncertainty interval: 89.18 to 134.98) to 67.75 (54.06 to 82.71) per 100,000 with an average annual percentage change of &#x2212;1.58 (95% confidence interval: &#x2212;1.66 to &#x2212;1.51, <italic>p</italic> &#x003C;&#x202F;0.001). However, between 1990 and 2021, the incidence numbers in the 30&#x2013;34 and 35&#x2013;39 age groups increased by 23.75 and 21.24%, respectively. The number of deaths in low and low-middle Socio-demographic Index (SDI) areas increased by 79.51 and 20.62%, respectively. Moreover, it is predicted that the numbers of incidences and deaths will continue to rise in areas with low SDI. At the regional level, Central Sub-Saharan Africa had the highest incidence and mortality rates. In 2021, Somalia and the Democratic Republic of Congo had the highest incidence rates, whereas Kiribati and Cambodia had the highest mortality rates.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>The overall burden of hepatitis B-related cirrhosis among AYAs has decreased over the past three decades. Nevertheless, there was a slight increase in the incidence number among individuals aged 30&#x2013;39&#x202F;years. The substantial burden and predicted rise in the numbers of incidences and deaths in low SDI areas underscore the need for sustained and targeted public health interventions.</p>
</sec>
</abstract>
<kwd-group>
<kwd>hepatitis B</kwd>
<kwd>cirrhosis</kwd>
<kwd>adolescents</kwd>
<kwd>young adults</kwd>
<kwd>incidence</kwd>
<kwd>mortality</kwd>
<kwd>disability adjusted-life years</kwd>
<kwd>GBD 2021</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="40"/>
<page-count count="13"/>
<word-count count="7530"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Infectious Diseases: Epidemiology and Prevention</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<label>1</label>
<title>Introduction</title>
<p>Hepatitis B virus (HBV) infection is a significant global public health challenge, imposing a substantial healthcare burden, particularly in the Western Pacific and African regions (<xref ref-type="bibr" rid="ref1">1</xref>). Chronic hepatitis B (CHB) can lead to liver cirrhosis, which may progress to liver failure and hepatocellular carcinoma (HCC), posing a serious threat to human health (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref3">3</xref>). A comprehensive analysis of the global, regional, and national burden of hepatitis B between 1990 and 2019 revealed a decline in HBV prevalence across all age groups, with a significant reduction in children (<xref ref-type="bibr" rid="ref1">1</xref>). Despite notable advancements in prevention and treatment, hepatitis B remains the leading cause of liver-related incidence and mortality. According to the World Health Organization (WHO), hepatitis B accounted for estimated 1.1 million deaths in 2022, primarily due to cirrhosis and HCC (<xref ref-type="bibr" rid="ref4">4</xref>). Additionally, the number of deaths related to HBV has gradually increased globally, with cirrhosis being the predominant cause of mortality (<xref ref-type="bibr" rid="ref5">5</xref>).</p>
<p>CHB is often acquired during childhood and may progress over decades (<xref ref-type="bibr" rid="ref6">6</xref>). Previous studies identified age as a critical risk factor for developing cirrhosis and HCC. For instance, a study on the natural history of CHB indicated that individuals over 40&#x202F;years old are at a higher risk of developing cirrhosis (<xref ref-type="bibr" rid="ref7">7</xref>). Advancing age was independently associated with the development of cirrhosis and HCC in patients with CHB, particularly in Asian populations (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref8">8</xref>). However, recent studies have highlighted a potential increase in cirrhosis burden among younger individuals (<xref ref-type="bibr" rid="ref9">9</xref>). Additionally, a cohort study demonstrated that liver fibrosis scores were significantly associated with an increased risk of liver-related mortality regardless of age group (&#x003C;40 vs. &#x2265;40&#x202F;years) (<xref ref-type="bibr" rid="ref10">10</xref>). This underscores the importance of considering younger patients under 39&#x202F;years old a population at risk for cirrhosis and HCC.</p>
<p>Adolescents and young adults (AYAs), ranging from approximately 15&#x2013;39&#x202F;years of age, are the driving force of social development (<xref ref-type="bibr" rid="ref11">11</xref>). Recently, some studies, respectively, reported the disease burden and trends changes of acute viral hepatitis and other chronic liver diseases such as alcoholic liver disease, and NAFLD in AYAs worldwide from 1990 to 2019 (<xref ref-type="bibr" rid="ref12">12</xref>&#x2013;<xref ref-type="bibr" rid="ref14">14</xref>). Despite the extensive research conducted on the global burden of hepatitis B and cirrhosis (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref9">9</xref>), few studies have explored the disease burden and mortality trend of cirrhosis caused by HBV infection among AYAs.</p>
<p>The Global Burden of Disease (GBD) study offers a comprehensive framework for understanding the epidemiology of hepatitis B-related cirrhosis. The GBD 2021 database contains extensive data on disease incidence, mortality, and risk factors across 204 countries and regions from 1990 to 2021 (<xref ref-type="bibr" rid="ref15">15</xref>). In this study, we utilized GBD 2021 data to systematically analyze the epidemiological characteristics and temporal trends of hepatitis B-related cirrhosis among AYAs using joinpoint regression analysis (<xref ref-type="bibr" rid="ref16">16</xref>) for the first time. Furthermore, we applied the Bayesian age-period-cohort (BAPC) analysis (<xref ref-type="bibr" rid="ref17">17</xref>) to predict the rate and number of hepatitis B-related cirrhosis cases from 2022 to 2035.</p>
</sec>
<sec sec-type="materials|methods" id="sec6">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec7">
<label>2.1</label>
<title>Data sources</title>
<p>The data for this study were sourced from the GBD 2021 database, which is publicly available and provided by the Institute for Health Metrics and Evaluation at the University of Washington, USA.<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref> This database contains information on the incidence, mortality, and 88 risk factors for 371 diseases and injuries across 204 countries and territories globally from 1990 to 2021 (<xref ref-type="bibr" rid="ref15">15</xref>). Data on the disease burden data of CHB including cirrhosis among AYAs (15&#x2013;39&#x202F;years) were extracted using the GBD Results tool.<xref ref-type="fn" rid="fn0002"><sup>2</sup></xref> Cirrhosis was diagnosed based on the International Classification of Diseases, 10th edition, as described in earlier GBD studies (<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref19">19</xref>). All rates were standardized per 100,000 population and accompanied by 95% uncertainty intervals (UIs).</p>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Sociodemographic index (SDI)</title>
<p>The SDI is a composite measure of a country&#x2019;s sociodemographic development, incorporating income per capita, educational attainment, and total fertility rate. Based on the 2021 SDI values (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S1</xref>), countries and regions were classified into five levels: low, low-middle, middle, middle-high, and high SDI (<xref ref-type="bibr" rid="ref20">20</xref>).</p>
</sec>
<sec id="sec9">
<label>2.3</label>
<title>Joinpoint regression analysis</title>
<p>The joinpoint regression model has been widely applied in analyzing trends in disease burden changes (<xref ref-type="bibr" rid="ref16">16</xref>). This model included both linear models and log-linear models. In this study, we selected log-linear models to assess the trends of incidence, mortality, and disability-adjusted life years (DALYs) over time (<xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref22">22</xref>). The number and location of joinpoints were determined using the grid search method, with a maximum limit of 5 joinpoints. Model optimization was performed using Monte Carlo permutation tests. The annual percentage change rate (APC) and the average annual percentage change rate (AAPC) were calculated along with 95% confidence intervals (CIs). The specific calculation methods have been reported in previous studies (<xref ref-type="bibr" rid="ref19">19</xref>).</p>
</sec>
<sec id="sec10">
<label>2.4</label>
<title>BAPC analysis</title>
<p>The BAPC and integrated nested Laplacian approximation (INLA) packages (version 4.1.0) were used to predict trends in hepatitis B-related cirrhosis among AYAs from 2022 to 2035. The BAPC model, which builds upon INLA, provides reliable estimates of the marginal posterior distributions, demonstrating superior predictive performance compared to other models (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref24">24</xref>). The specific calculation methods have been reported in previous studies (<xref ref-type="bibr" rid="ref25">25</xref>). Based on historical and demographic data, we have projected global incidence and mortality rates and numbers at different SDI levels, providing 95% CIs for these predictions.</p>
</sec>
<sec id="sec11">
<label>2.5</label>
<title>Statistical analysis</title>
<p>All analyses and visualizations were conducted using R software (version 4.3.2). Joinpoint software (version 4.8.0)<xref ref-type="fn" rid="fn0003"><sup>3</sup></xref> was used for trend analysis. Two-tailed <italic>p</italic>-values of less than 0.05 were considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="sec12">
<label>3</label>
<title>Results</title>
<sec id="sec13">
<label>3.1</label>
<title>The global incidence, mortality, and DALYs rates of hepatitis B-related cirrhosis among AYAs from 1990 to 2021</title>
<p>From 1990 to 2021, the global incidence rate of hepatitis B-related cirrhosis decreased from 111.33 per 100,000 (95%UI: 89.18 to 134.98) to 67.75 per 100,000 (95% UI: 54.06 to 82.71) (<xref ref-type="table" rid="tab1">Table 1</xref>). The global AAPC of incidence was &#x2212;1.58 [95% confidence interval (CI): &#x2212;1.66 to &#x2212;1.51, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001] (<xref ref-type="table" rid="tab2">Table 2</xref>), indicating a significant decline over the 31-year period. In addition, the joinpoint regression model identified significant changes in incidence rates in 1994, 2001, 2011, and 2016, respectively (<xref ref-type="fig" rid="fig1">Figure 1A</xref> and <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 2</xref>). Despite the overall decrease in the incidence rate, the incidence number increased in the 30&#x2013;34 and 35&#x2013;39 age groups, reflecting a shift in disease burden to older young adults (<xref ref-type="table" rid="tab1">Table 1</xref>). The global number and rate of deaths from hepatitis B-related cirrhosis among AYAs showed a slight decline between 1990 and 2021 (<xref ref-type="table" rid="tab1">Table 1</xref>). The AAPC of DALYs also decreased (AAPC&#x202F;=&#x202F;&#x2212;1.28 [95% CI: &#x2212;1.53 to &#x2212;1.03], <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) (<xref ref-type="table" rid="tab2">Table 2</xref>), illustrating a reduction in the overall disease burden. Notably, the joinpoint model showed a &#x201C;rising-falling-rising-falling again&#x201D; trend in the global DALYs rate, with a similar trend in the mortality rate from 1990 to 2021 (<xref ref-type="fig" rid="fig1">Figures 1B</xref>,<xref ref-type="fig" rid="fig1">C</xref> and <xref rid="SM1" ref-type="supplementary-material">Supplementary Tables 3, 4</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Incidence and mortality of Hepatitis B-related cirrhosis among AYAs by gender, age, SDI, and region in 1990 and 2021.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Subgroup</th>
<th align="center" valign="top" colspan="2">1990</th>
<th align="center" valign="top" colspan="3">2021</th>
<th align="center" valign="top" colspan="2">1990</th>
<th align="center" valign="top" colspan="3">2021</th>
</tr>
<tr>
<th align="center" valign="top">Incidence number&#x202F;&#x00D7;&#x202F;10<sup>3</sup> (95% UI)</th>
<th align="center" valign="top">Incidence rate per 100,000 (95% UI)</th>
<th align="center" valign="top">Incidence number&#x202F;&#x00D7;&#x202F;10<sup>3</sup> (95% UI)</th>
<th align="center" valign="top">Incidence rate per 100,000 (95% UI)</th>
<th align="center" valign="top">Change of number (%)</th>
<th align="center" valign="top">Number of deaths&#x202F;&#x00D7;&#x202F;10<sup>3</sup> (95% UI)</th>
<th align="center" valign="top">Mortality rate per 100,000 (95% UI)</th>
<th align="center" valign="top">Number of deaths&#x202F;&#x00D7;&#x202F;10<sup>3</sup> (95% UI)</th>
<th align="center" valign="top">Mortality rate per 100,000 (95% UI)</th>
<th align="center" valign="top">Change of number (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Global</td>
<td align="center" valign="top">2440.06 (1954.60&#x2013;2958.52)</td>
<td align="center" valign="top">111.33 (89.18&#x2013;134.98)</td>
<td align="center" valign="top">2015.39 (1608.22&#x2013;2460.41)</td>
<td align="center" valign="top">67.75 (54.06&#x2013;82.71)</td>
<td align="center" valign="top">&#x2212;17.40</td>
<td align="center" valign="top">53.06 (44.24&#x2013;63.74)</td>
<td align="center" valign="top">2.42 (2.02&#x2013;2.91)</td>
<td align="center" valign="top">48.82 (39.05&#x2013;59.31)</td>
<td align="center" valign="top">1.64 (1.31&#x2013;1.99)</td>
<td align="center" valign="top">&#x2212;7.99</td>
</tr>
<tr>
<td align="left" valign="top" colspan="11">Gender</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">1482.62 (1227.27&#x2013;1780.10)</td>
<td align="center" valign="top">133.75 (110.72&#x2013;160.59)</td>
<td align="center" valign="top">1228.63 (1006.72&#x2013;1488.25)</td>
<td align="center" valign="top">81.38 (66.68&#x2013;98.58)</td>
<td align="center" valign="top">&#x2212;17.13</td>
<td align="center" valign="top">40.61 (33.47&#x2013;49.01)</td>
<td align="center" valign="top">3.66 (3.02&#x2013;4.42)</td>
<td align="center" valign="top">37.86 (30.38&#x2013;46.18)</td>
<td align="center" valign="top">2.51 (2.01&#x2013;3.06)</td>
<td align="center" valign="top">&#x2212;6.78</td>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">957.44 (729.71&#x2013;1201.10)</td>
<td align="center" valign="top">88.38 (67.36&#x2013;110.87)</td>
<td align="center" valign="top">786.76 (599.50&#x2013;980.14)</td>
<td align="center" valign="top">53.70 (40.92&#x2013;66.90)</td>
<td align="center" valign="top">&#x2212;17.83</td>
<td align="center" valign="top">12.45 (9.76&#x2013;15.56)</td>
<td align="center" valign="top">1.15 (0.90&#x2013;1.44)</td>
<td align="center" valign="top">10.97 (8.42&#x2013;13.86)</td>
<td align="center" valign="top">0.75 (0.57&#x2013;0.95)</td>
<td align="center" valign="top">&#x2212;11.94</td>
</tr>
<tr>
<td align="left" valign="top" colspan="11">Age groups</td>
</tr>
<tr>
<td align="left" valign="top">15&#x2013;19&#x202F;years</td>
<td align="center" valign="top">671.20 (533.44&#x2013;828.94)</td>
<td align="center" valign="top">129.22 (102.70&#x2013;159.59)</td>
<td align="center" valign="top">317.77 (252.92&#x2013;391.44)</td>
<td align="center" valign="top">50.93 (40.53&#x2013;62.73)</td>
<td align="center" valign="top">&#x2212;52.66</td>
<td align="center" valign="top">1.68 (1.11&#x2013;2.54)</td>
<td align="center" valign="top">0.32 (0.21&#x2013;0.49)</td>
<td align="center" valign="top">1.04 (0.58&#x2013;1.74)</td>
<td align="center" valign="top">0.17 (0.09&#x2013;0.28)</td>
<td align="center" valign="top">&#x2212;38.33</td>
</tr>
<tr>
<td align="left" valign="top">20&#x2013;24&#x202F;years</td>
<td align="center" valign="top">580.31 (447.43&#x2013;722.12)</td>
<td align="center" valign="top">117.93 (90.93&#x2013;146.75)</td>
<td align="center" valign="top">378.73 (296.48&#x2013;470.86)</td>
<td align="center" valign="top">63.42 (49.65&#x2013;78.85)</td>
<td align="center" valign="top">&#x2212;34.74</td>
<td align="center" valign="top">4.68 (3.45&#x2013;6.07)</td>
<td align="center" valign="top">0.95 (0.70&#x2013;1.23)</td>
<td align="center" valign="top">3.70 (2.44&#x2013;5.30)</td>
<td align="center" valign="top">0.62 (0.41&#x2013;0.89)</td>
<td align="center" valign="top">&#x2212;21.09</td>
</tr>
<tr>
<td align="left" valign="top">25&#x2013;29&#x202F;years</td>
<td align="center" valign="top">475.37 (374.20&#x2013;582.50)</td>
<td align="center" valign="top">107.40 (84.54&#x2013;131.60)</td>
<td align="center" valign="top">444.78 (347.39&#x2013;548.98)</td>
<td align="center" valign="top">75.60 (59.05&#x2013;93.31)</td>
<td align="center" valign="top">&#x2212;6.43</td>
<td align="center" valign="top">8.78 (6.74&#x2013;11.24)</td>
<td align="center" valign="top">1.98 (1.52&#x2013;2.54)</td>
<td align="center" valign="top">7.88 (5.60&#x2013;10.59)</td>
<td align="center" valign="top">1.34 (0.95&#x2013;1.80)</td>
<td align="center" valign="top">&#x2212;10.25</td>
</tr>
<tr>
<td align="left" valign="top">30&#x2013;34&#x202F;years</td>
<td align="center" valign="top">378.46 (299.64&#x2013;465.07)</td>
<td align="center" valign="top">98.19 (77.74&#x2013;120.67)</td>
<td align="center" valign="top">468.34 (364.81&#x2013;581.09)</td>
<td align="center" valign="top">77.48 (60.35&#x2013;96.13)</td>
<td align="center" valign="top">23.75</td>
<td align="center" valign="top">14.55 (11.95&#x2013;17.75)</td>
<td align="center" valign="top">3.78 (3.10&#x2013;4.61)</td>
<td align="center" valign="top">14.49 (11.44&#x2013;18.12)</td>
<td align="center" valign="top">2.40 (1.89&#x2013;3.00)</td>
<td align="center" valign="top">&#x2212;0.44</td>
</tr>
<tr>
<td align="left" valign="top">35&#x2013;39&#x202F;years</td>
<td align="center" valign="top">334.70 (254.73&#x2013;419.39)</td>
<td align="center" valign="top">95.02 (72.32&#x2013;119.06)</td>
<td align="center" valign="top">405.78 (308.75&#x2013;518.71)</td>
<td align="center" valign="top">72.35 (55.05&#x2013;92.48)</td>
<td align="center" valign="top">21.24</td>
<td align="center" valign="top">23.37 (18.83&#x2013;29.04)</td>
<td align="center" valign="top">6.64 (5.34&#x2013;8.24)</td>
<td align="center" valign="top">21.73 (16.45&#x2013;27.61)</td>
<td align="center" valign="top">3.87 (2.93&#x2013;4.92)</td>
<td align="center" valign="top">&#x2212;7.04</td>
</tr>
<tr>
<td align="left" valign="top" colspan="11">SDI-levels</td>
</tr>
<tr>
<td align="left" valign="top">Low SDI</td>
<td align="center" valign="top">279.91 (213.58&#x2013;346.24)</td>
<td align="center" valign="top">151.87 (115.88&#x2013;187.86)</td>
<td align="center" valign="top">552.82 (436.85&#x2013;675.03)</td>
<td align="center" valign="top">123.11 (97.28&#x2013;150.32)</td>
<td align="center" valign="top">97.50</td>
<td align="center" valign="top">6.00 (4.75&#x2013;7.68)</td>
<td align="center" valign="top">3.25 (2.58&#x2013;4.17)</td>
<td align="center" valign="top">10.76 (8.23&#x2013;13.84)</td>
<td align="center" valign="top">2.40 (1.83&#x2013;3.08)</td>
<td align="center" valign="top">79.51</td>
</tr>
<tr>
<td align="left" valign="top">Low-middle SDI</td>
<td align="center" valign="top">423.94 (340.20&#x2013;518.11)</td>
<td align="center" valign="top">93.50 (75.03&#x2013;114.27)</td>
<td align="center" valign="top">529.57 (432.93&#x2013;637.80)</td>
<td align="center" valign="top">65.99 (53.95&#x2013;79.48)</td>
<td align="center" valign="top">24.91</td>
<td align="center" valign="top">14.31 (10.98&#x2013;18.34)</td>
<td align="center" valign="top">3.16 (2.42&#x2013;4.04)</td>
<td align="center" valign="top">17.27 (13.03&#x2013;21.58)</td>
<td align="center" valign="top">2.15 (1.62&#x2013;2.69)</td>
<td align="center" valign="top">20.62</td>
</tr>
<tr>
<td align="left" valign="top">Middle SDI</td>
<td align="center" valign="top">1025.24 (816.91&#x2013;1247.09)</td>
<td align="center" valign="top">136.22 (108.54&#x2013;165.70)</td>
<td align="center" valign="top">622.09 (492.82&#x2013;765.24)</td>
<td align="center" valign="top">67.07 (53.13&#x2013;82.51)</td>
<td align="center" valign="top">&#x2212;39.32</td>
<td align="center" valign="top">21.71 (18.64&#x2013;25.17)</td>
<td align="center" valign="top">2.88 (2.48&#x2013;3.34)</td>
<td align="center" valign="top">15.12 (12.49&#x2013;18.17)</td>
<td align="center" valign="top">1.63 (1.35&#x2013;1.96)</td>
<td align="center" valign="top">&#x2212;30.35</td>
</tr>
<tr>
<td align="left" valign="top">High-middle SDI</td>
<td align="center" valign="top">537.29 (429.85&#x2013;656.47)</td>
<td align="center" valign="top">118.73 (94.99&#x2013;145.06)</td>
<td align="center" valign="top">237.35 (175.71&#x2013;304.85)</td>
<td align="center" valign="top">53.91 (39.91&#x2013;69.24)</td>
<td align="center" valign="top">&#x2212;55.82</td>
<td align="center" valign="top">8.26 (6.98&#x2013;9.60)</td>
<td align="center" valign="top">1.83 (1.54&#x2013;2.12)</td>
<td align="center" valign="top">4.50 (3.60&#x2013;5.49)</td>
<td align="center" valign="top">1.02 (0.82&#x2013;1.25)</td>
<td align="center" valign="top">&#x2212;45.55</td>
</tr>
<tr>
<td align="left" valign="top">High SDI</td>
<td align="center" valign="top">172.24 (147.13&#x2013;202.90)</td>
<td align="center" valign="top">49.64 (42.40&#x2013;58.48)</td>
<td align="center" valign="top">72.44 (59.32&#x2013;88.57)</td>
<td align="center" valign="top">20.51 (16.79&#x2013;25.07)</td>
<td align="center" valign="top">&#x2212;57.94</td>
<td align="center" valign="top">2.75 (2.18&#x2013;3.39)</td>
<td align="center" valign="top">0.79 (0.63&#x2013;0.98)</td>
<td align="center" valign="top">1.15 (0.88&#x2013;1.47)</td>
<td align="center" valign="top">0.32 (0.25&#x2013;0.42)</td>
<td align="center" valign="top">&#x2212;58.29</td>
</tr>
<tr>
<td align="left" valign="top" colspan="11">Regions</td>
</tr>
<tr>
<td align="left" valign="top">Andean Latin America</td>
<td align="center" valign="top">6.09 (5.03&#x2013;7.62)</td>
<td align="center" valign="top">39.39 (32.55&#x2013;49.27)</td>
<td align="center" valign="top">7.96 (6.74&#x2013;9.77)</td>
<td align="center" valign="top">29.38 (24.91&#x2013;36.07)</td>
<td align="center" valign="top">30.62</td>
<td align="center" valign="top">0.12 (0.07&#x2013;0.18)</td>
<td align="center" valign="top">0.76 (0.47&#x2013;1.18)</td>
<td align="center" valign="top">0.09 (0.05&#x2013;0.15)</td>
<td align="center" valign="top">0.33 (0.20&#x2013;0.56)</td>
<td align="center" valign="top">&#x2212;23.38</td>
</tr>
<tr>
<td align="left" valign="top">Australasia</td>
<td align="center" valign="top">4.51 (3.30&#x2013;5.85)</td>
<td align="center" valign="top">55.30 (40.53&#x2013;71.78)</td>
<td align="center" valign="top">3.19 (2.39&#x2013;4.09)</td>
<td align="center" valign="top">30.51 (22.87&#x2013;39.05)</td>
<td align="center" valign="top">&#x2212;29.16</td>
<td align="center" valign="top">0.03 (0.02&#x2013;0.04)</td>
<td align="center" valign="top">0.34 (0.23&#x2013;0.47)</td>
<td align="center" valign="top">0.02 (0.01&#x2013;0.02)</td>
<td align="center" valign="top">0.17 (0.11&#x2013;0.24)</td>
<td align="center" valign="top">&#x2212;34.97</td>
</tr>
<tr>
<td align="left" valign="top">Caribbean</td>
<td align="center" valign="top">4.84 (3.61&#x2013;6.28)</td>
<td align="center" valign="top">32.57 (24.30&#x2013;42.23)</td>
<td align="center" valign="top">4.32 (3.25&#x2013;5.45)</td>
<td align="center" valign="top">23.71 (17.84&#x2013;29.91)</td>
<td align="center" valign="top">&#x2212;10.85</td>
<td align="center" valign="top">0.09 (0.05&#x2013;0.14)</td>
<td align="center" valign="top">0.61 (0.36&#x2013;0.93)</td>
<td align="center" valign="top">0.09 (0.05&#x2013;0.14)</td>
<td align="center" valign="top">0.48 (0.27&#x2013;0.79)</td>
<td align="center" valign="top">&#x2212;3.07</td>
</tr>
<tr>
<td align="left" valign="top">Central Asia</td>
<td align="center" valign="top">24.67 (20.07&#x2013;28.64)</td>
<td align="center" valign="top">86.69 (70.53&#x2013;100.65)</td>
<td align="center" valign="top">24.13 (19.67&#x2013;28.09)</td>
<td align="center" valign="top">64.55 (52.62&#x2013;75.13)</td>
<td align="center" valign="top">&#x2212;2.16</td>
<td align="center" valign="top">0.27 (0.17&#x2013;0.41)</td>
<td align="center" valign="top">0.95 (0.59&#x2013;1.44)</td>
<td align="center" valign="top">0.57 (0.35&#x2013;0.88)</td>
<td align="center" valign="top">1.52 (0.92&#x2013;2.35)</td>
<td align="center" valign="top">110.42</td>
</tr>
<tr>
<td align="left" valign="top">Central Europe</td>
<td align="center" valign="top">23.92 (19.86&#x2013;28.30)</td>
<td align="center" valign="top">51.05 (42.39&#x2013;60.41)</td>
<td align="center" valign="top">7.39 (6.07&#x2013;9.03)</td>
<td align="center" valign="top">21.10 (17.34&#x2013;25.79)</td>
<td align="center" valign="top">&#x2212;69.10</td>
<td align="center" valign="top">0.69 (0.46&#x2013;0.96)</td>
<td align="center" valign="top">1.46 (0.98&#x2013;2.04)</td>
<td align="center" valign="top">0.35 (0.25&#x2013;0.48)</td>
<td align="center" valign="top">1.00 (0.71&#x2013;1.37)</td>
<td align="center" valign="top">&#x2212;48.91</td>
</tr>
<tr>
<td align="left" valign="top">Central Latin America</td>
<td align="center" valign="top">24.51 (16.91&#x2013;34.21)</td>
<td align="center" valign="top">35.90 (24.77&#x2013;50.11)</td>
<td align="center" valign="top">15.49 (9.91&#x2013;21.65)</td>
<td align="center" valign="top">15.31 (9.80&#x2013;21.40)</td>
<td align="center" valign="top">&#x2212;36.78</td>
<td align="center" valign="top">19.20 (16.33&#x2013;22.29)</td>
<td align="center" valign="top">0.46 (0.35&#x2013;0.60)</td>
<td align="center" valign="top">7.68 (5.95&#x2013;9.50)</td>
<td align="center" valign="top">0.27 (0.20&#x2013;0.38)</td>
<td align="center" valign="top">&#x2212;12.63</td>
</tr>
<tr>
<td align="left" valign="top">Central Sub-Saharan Africa</td>
<td align="center" valign="top">50.81 (35.66&#x2013;67.52)</td>
<td align="center" valign="top">244.72 (171.75&#x2013;325.20)</td>
<td align="center" valign="top">120.08 (88.56&#x2013;152.48)</td>
<td align="center" valign="top">221.97 (163.70&#x2013;281.87)</td>
<td align="center" valign="top">136.33</td>
<td align="center" valign="top">0.31 (0.24&#x2013;0.41)</td>
<td align="center" valign="top">3.62 (2.32&#x2013;5.09)</td>
<td align="center" valign="top">0.27 (0.20&#x2013;0.39)</td>
<td align="center" valign="top">2.93 (1.84&#x2013;4.32)</td>
<td align="center" valign="top">110.67</td>
</tr>
<tr>
<td align="left" valign="top">East Asia</td>
<td align="center" valign="top">1126.73 (895.23&#x2013;1376.78)</td>
<td align="center" valign="top">199.17 (158.25&#x2013;243.37)</td>
<td align="center" valign="top">443.59 (321.69&#x2013;570.27)</td>
<td align="center" valign="top">92.60 (67.15&#x2013;119.04)</td>
<td align="center" valign="top">&#x2212;60.63</td>
<td align="center" valign="top">0.75 (0.48&#x2013;1.06)</td>
<td align="center" valign="top">3.39 (2.89&#x2013;3.94)</td>
<td align="center" valign="top">1.58 (1.00&#x2013;2.34)</td>
<td align="center" valign="top">1.60 (1.24&#x2013;1.98)</td>
<td align="center" valign="top">&#x2212;60.00</td>
</tr>
<tr>
<td align="left" valign="top">Eastern Europe</td>
<td align="center" valign="top">23.74 (17.11&#x2013;31.12)</td>
<td align="center" valign="top">27.68 (19.95&#x2013;36.29)</td>
<td align="center" valign="top">11.96 (8.28&#x2013;15.99)</td>
<td align="center" valign="top">18.07 (12.52&#x2013;24.16)</td>
<td align="center" valign="top">&#x2212;49.64</td>
<td align="center" valign="top">0.18 (0.13&#x2013;0.25)</td>
<td align="center" valign="top">0.21 (0.16&#x2013;0.29)</td>
<td align="center" valign="top">0.73 (0.52&#x2013;1.02)</td>
<td align="center" valign="top">1.10 (0.79&#x2013;1.54)</td>
<td align="center" valign="top">300.76</td>
</tr>
<tr>
<td align="left" valign="top">Eastern Sub-Saharan Africa</td>
<td align="center" valign="top">102.11 (75.84&#x2013;128.36)</td>
<td align="center" valign="top">144.04 (106.99&#x2013;181.06)</td>
<td align="center" valign="top">179.91 (137.40&#x2013;225.41)</td>
<td align="center" valign="top">102.69 (78.43&#x2013;128.67)</td>
<td align="center" valign="top">76.20</td>
<td align="center" valign="top">2.21 (1.70&#x2013;2.83)</td>
<td align="center" valign="top">3.12 (2.39&#x2013;3.99)</td>
<td align="center" valign="top">4.47 (3.34&#x2013;5.86)</td>
<td align="center" valign="top">2.55 (1.91&#x2013;3.34)</td>
<td align="center" valign="top">101.88</td>
</tr>
<tr>
<td align="left" valign="top">High-income Asia Pacific</td>
<td align="center" valign="top">63.23 (55.14&#x2013;72.61)</td>
<td align="center" valign="top">93.68 (81.70&#x2013;107.58)</td>
<td align="center" valign="top">22.83 (19.58&#x2013;26.94)</td>
<td align="center" valign="top">45.16 (38.74&#x2013;53.30)</td>
<td align="center" valign="top">&#x2212;63.90</td>
<td align="center" valign="top">1.08 (0.74&#x2013;1.34)</td>
<td align="center" valign="top">1.61 (1.09&#x2013;1.99)</td>
<td align="center" valign="top">0.15 (0.11&#x2013;0.20)</td>
<td align="center" valign="top">0.29 (0.21&#x2013;0.40)</td>
<td align="center" valign="top">&#x2212;86.45</td>
</tr>
<tr>
<td align="left" valign="top">High-income North America</td>
<td align="center" valign="top">16.51 (12.57&#x2013;20.73)</td>
<td align="center" valign="top">14.57 (11.09&#x2013;18.29)</td>
<td align="center" valign="top">8.47 (6.45&#x2013;10.48)</td>
<td align="center" valign="top">6.87 (5.24&#x2013;8.51)</td>
<td align="center" valign="top">&#x2212;48.72</td>
<td align="center" valign="top">0.22 (0.17&#x2013;0.29)</td>
<td align="center" valign="top">0.19 (0.15&#x2013;0.26)</td>
<td align="center" valign="top">0.18 (0.13&#x2013;0.24)</td>
<td align="center" valign="top">0.14 (0.11&#x2013;0.20)</td>
<td align="center" valign="top">&#x2212;18.87</td>
</tr>
<tr>
<td align="left" valign="top">North Africa and Middle East</td>
<td align="center" valign="top">117.09 (99.78&#x2013;138.35)</td>
<td align="center" valign="top">87.49 (74.55&#x2013;103.38)</td>
<td align="center" valign="top">115.84 (100.54&#x2013;131.63)</td>
<td align="center" valign="top">45.56 (39.54&#x2013;51.77)</td>
<td align="center" valign="top">&#x2212;1.07</td>
<td align="center" valign="top">1.70 (1.23&#x2013;2.26)</td>
<td align="center" valign="top">1.27 (0.92&#x2013;1.69)</td>
<td align="center" valign="top">1.42 (0.92&#x2013;2.04)</td>
<td align="center" valign="top">0.56 (0.36&#x2013;0.80)</td>
<td align="center" valign="top">&#x2212;16.41</td>
</tr>
<tr>
<td align="left" valign="top">Oceania</td>
<td align="center" valign="top">5.09 (3.62&#x2013;6.55)</td>
<td align="center" valign="top">191.52 (136.16&#x2013;246.71)</td>
<td align="center" valign="top">6.25 (4.60&#x2013;8.09)</td>
<td align="center" valign="top">110.84 (81.58&#x2013;143.55)</td>
<td align="center" valign="top">22.76</td>
<td align="center" valign="top">0.07 (0.04&#x2013;0.10)</td>
<td align="center" valign="top">2.55 (1.66&#x2013;3.75)</td>
<td align="center" valign="top">0.10 (0.07&#x2013;0.14)</td>
<td align="center" valign="top">1.83 (1.31&#x2013;2.40)</td>
<td align="center" valign="top">52.63</td>
</tr>
<tr>
<td align="left" valign="top">South Asia</td>
<td align="center" valign="top">299.03 (239.07&#x2013;369.08)</td>
<td align="center" valign="top">69.28 (55.39&#x2013;85.51)</td>
<td align="center" valign="top">424.05 (346.38&#x2013;518.72)</td>
<td align="center" valign="top">53.61 (43.79&#x2013;65.58)</td>
<td align="center" valign="top">41.81</td>
<td align="center" valign="top">13.93 (10.76&#x2013;17.89)</td>
<td align="center" valign="top">3.23 (2.49&#x2013;4.14)</td>
<td align="center" valign="top">17.97 (13.46&#x2013;23.00)</td>
<td align="center" valign="top">2.27 (1.70&#x2013;2.91)</td>
<td align="center" valign="top">29.01</td>
</tr>
<tr>
<td align="left" valign="top">Southeast Asia</td>
<td align="center" valign="top">262.80 (211.80&#x2013;320.07)</td>
<td align="center" valign="top">133.40 (107.51&#x2013;162.47)</td>
<td align="center" valign="top">222.18 (178.39&#x2013;273.20)</td>
<td align="center" valign="top">80.11 (64.32&#x2013;98.51)</td>
<td align="center" valign="top">&#x2212;15.46</td>
<td align="center" valign="top">7.38 (5.66&#x2013;9.87)</td>
<td align="center" valign="top">3.75 (2.87&#x2013;5.01)</td>
<td align="center" valign="top">6.90 (5.18&#x2013;9.01)</td>
<td align="center" valign="top">2.49 (1.87&#x2013;3.25)</td>
<td align="center" valign="top">&#x2212;6.55</td>
</tr>
<tr>
<td align="left" valign="top">Southern Latin America</td>
<td align="center" valign="top">3.31 (2.77&#x2013;3.98)</td>
<td align="center" valign="top">17.36 (14.50&#x2013;20.84)</td>
<td align="center" valign="top">3.44 (2.77&#x2013;4.14)</td>
<td align="center" valign="top">13.35 (10.76&#x2013;16.06)</td>
<td align="center" valign="top">3.96</td>
<td align="center" valign="top">0.12 (0.07&#x2013;0.19)</td>
<td align="center" valign="top">0.63 (0.38&#x2013;0.97)</td>
<td align="center" valign="top">0.06 (0.04&#x2013;0.09)</td>
<td align="center" valign="top">0.23 (0.14&#x2013;0.36)</td>
<td align="center" valign="top">&#x2212;49.98</td>
</tr>
<tr>
<td align="left" valign="top">Southern Sub-Saharan Africa</td>
<td align="center" valign="top">28.16 (21.53&#x2013;34.45)</td>
<td align="center" valign="top">130.28 (99.61&#x2013;159.36)</td>
<td align="center" valign="top">23.42 (17.65&#x2013;29.24)</td>
<td align="center" valign="top">68.80 (51.86&#x2013;85.90)</td>
<td align="center" valign="top">&#x2212;16.84</td>
<td align="center" valign="top">0.42 (0.33&#x2013;0.53)</td>
<td align="center" valign="top">1.93 (1.50&#x2013;2.45)</td>
<td align="center" valign="top">0.46 (0.31&#x2013;0.63)</td>
<td align="center" valign="top">1.36 (0.90&#x2013;1.85)</td>
<td align="center" valign="top">11.13</td>
</tr>
<tr>
<td align="left" valign="top">Tropical Latin America</td>
<td align="center" valign="top">37.66 (29.52&#x2013;46.52)</td>
<td align="center" valign="top">58.56 (45.89&#x2013;72.34)</td>
<td align="center" valign="top">18.27 (12.86&#x2013;24.31)</td>
<td align="center" valign="top">20.69 (14.57&#x2013;27.53)</td>
<td align="center" valign="top">&#x2212;51.49</td>
<td align="center" valign="top">1.21 (1.05&#x2013;1.38)</td>
<td align="center" valign="top">1.88 (1.63&#x2013;2.14)</td>
<td align="center" valign="top">0.65 (0.55&#x2013;0.77)</td>
<td align="center" valign="top">0.73 (0.62&#x2013;0.87)</td>
<td align="center" valign="top">&#x2212;46.40</td>
</tr>
<tr>
<td align="left" valign="top">Western Europe</td>
<td align="center" valign="top">44.10 (34.41&#x2013;54.03)</td>
<td align="center" valign="top">30.60 (23.87&#x2013;37.49)</td>
<td align="center" valign="top">18.24 (14.21&#x2013;22.41)</td>
<td align="center" valign="top">14.05 (10.95&#x2013;17.27)</td>
<td align="center" valign="top">&#x2212;58.64</td>
<td align="center" valign="top">0.49 (0.32&#x2013;0.72)</td>
<td align="center" valign="top">0.34 (0.22&#x2013;0.50)</td>
<td align="center" valign="top">0.13 (0.08&#x2013;0.20)</td>
<td align="center" valign="top">0.10 (0.06&#x2013;0.15)</td>
<td align="center" valign="top">&#x2212;73.65</td>
</tr>
<tr>
<td align="left" valign="top">Western Sub-Saharan Africa</td>
<td align="center" valign="top">171.15 (133.62&#x2013;209.30)</td>
<td align="center" valign="top">239.13 (186.68&#x2013;292.42)</td>
<td align="center" valign="top">334.41 (264.80&#x2013;409.09)</td>
<td align="center" valign="top">174.89 (138.49&#x2013;213.95)</td>
<td align="center" valign="top">95.39</td>
<td align="center" valign="top">2.61 (1.91&#x2013;3.67)</td>
<td align="center" valign="top">3.64 (2.66&#x2013;5.12)</td>
<td align="center" valign="top">4.96 (3.36&#x2013;6.76)</td>
<td align="center" valign="top">2.59 (1.76&#x2013;3.53)</td>
<td align="center" valign="top">90.32</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>AYAs, adolescents and young adults; SDI, Sociodemographic Index; UI, Uncertainty Interval.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>The AAPC of incidence, mortality, and DALYs from 1990 to 2021 by gender, SDI, region.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="2">Subgroup</th>
<th align="center" valign="middle" colspan="2">Incidence</th>
<th align="center" valign="middle" colspan="2">Mortality</th>
<th align="center" valign="middle" colspan="2">DALYs</th>
</tr>
<tr>
<th align="center" valign="middle">AAPC (95% CI)</th>
<th align="center" valign="middle"><italic>p-</italic>value</th>
<th align="center" valign="middle">AAPC (95% CI)</th>
<th align="center" valign="middle"><italic>p-</italic>value</th>
<th align="center" valign="middle">AAPC (95% CI)</th>
<th align="center" valign="middle"><italic>p-</italic>value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Global</td>
<td align="center" valign="middle">&#x2212;1.58 (&#x2212;1.66, &#x2212;1.51)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.26 (&#x2212;1.52, &#x2212;1.00)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.28 (&#x2212;1.53, &#x2212;1.03)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="7">Gender</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">&#x2212;1.60 (&#x2212;1.69, &#x2212;1.51)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.40 (&#x2212;1.61, &#x2212;1.20)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.39 (&#x2212;1.59, &#x2212;1.19)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">&#x2212;1.58 (&#x2212;1.70, &#x2212;1.46)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.23 (&#x2212;1.54, &#x2212;0.93)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.24 (&#x2212;1.55, &#x2212;0.93)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="7">SDI-levels</td>
</tr>
<tr>
<td align="left" valign="middle">Low SDI</td>
<td align="center" valign="middle">&#x2212;0.66 (&#x2212;0.71, &#x2212;0.6)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.00 (&#x2212;1.08, &#x2212;0.91)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;0.99 (&#x2212;1.07, &#x2212;0.91)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Low-middle SDI</td>
<td align="center" valign="middle">&#x2212;1.11 (&#x2212;1.15, &#x2212;1.07)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.23 (&#x2212;1.44, &#x2212;1.03)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.25 (&#x2212;1.45, &#x2212;1.04)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Middle SDI</td>
<td align="center" valign="middle">&#x2212;2.27 (&#x2212;2.41, &#x2212;2.13)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.85 (&#x2212;2.08, &#x2212;1.62)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.90 (&#x2212;2.17, &#x2212;1.63)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">High-middle SDI</td>
<td align="center" valign="middle">&#x2212;2.54 (&#x2212;2.69, &#x2212;2.39)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.91 (&#x2212;2.34, &#x2212;1.48)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.96 (&#x2212;2.40, &#x2212;1.52)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">High SDI</td>
<td align="center" valign="middle">&#x2212;2.79 (&#x2212;2.98, &#x2212;2.60)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;2.80 (&#x2212;3.10, &#x2212;2.50)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;2.81 (&#x2212;3.10, &#x2212;2.53)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="7">Regions</td>
</tr>
<tr>
<td align="left" valign="middle">Andean Latin America</td>
<td align="center" valign="middle">&#x2212;0.95 (&#x2212;1.01, &#x2212;0.89)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;2.63 (&#x2212;3.32, &#x2212;1.93)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;2.65 (&#x2212;3.34, &#x2212;1.95)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Australasia</td>
<td align="center" valign="middle">&#x2212;1.93 (&#x2212;2.17, &#x2212;1.69)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;2.14 (&#x2212;3.04, &#x2212;1.22)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;2.13 (&#x2212;3.03, &#x2212;1.22)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Caribbean</td>
<td align="center" valign="middle">&#x2212;1.04 (&#x2212;1.14, &#x2212;0.95)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;0.75 (&#x2212;1.14, &#x2212;0.37)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;0.78 (&#x2212;1.17, &#x2212;0.38)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Central Asia</td>
<td align="center" valign="middle">&#x2212;0.94 (&#x2212;1.07, &#x2212;0.82)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">1.40 (0.75, 2.05)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">1.31 (0.68, 1.94)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Central Europe</td>
<td align="center" valign="middle">&#x2212;2.82 (&#x2212;3.00, &#x2212;2.64)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.22 (&#x2212;1.82, &#x2212;0.62)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.23 (&#x2212;1.81, &#x2212;0.64)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Central Latin America</td>
<td align="center" valign="middle">&#x2212;2.73 (&#x2212;2.91, &#x2212;2.56)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.66 (&#x2212;1.97, &#x2212;1.36)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.67 (&#x2212;1.97, &#x2212;1.37)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Central Sub-Saharan Africa</td>
<td align="center" valign="middle">&#x2212;0.28 (&#x2212;0.35, &#x2212;0.20)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;0.73 (&#x2212;0.89, &#x2212;0.56)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;0.73 (&#x2212;0.90, &#x2212;0.56)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">East Asia</td>
<td align="center" valign="middle">&#x2212;2.47 (&#x2212;2.65, &#x2212;2.30)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;2.41 (&#x2212;2.82, &#x2212;2.00)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;2.46 (&#x2212;2.88, &#x2212;2.04)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Eastern Europe</td>
<td align="center" valign="middle">&#x2212;1.31 (&#x2212;1.55, &#x2212;1.06)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">5.50 (3.93, 7.09)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">5.39 (3.83, 6.96)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Eastern Sub-Saharan Africa</td>
<td align="center" valign="middle">&#x2212;1.09 (&#x2212;1.17, &#x2212;1.01)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;0.64 (&#x2212;0.70, &#x2212;0.58)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;0.65 (&#x2212;0.71, &#x2212;0.60)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">High-income Asia Pacific</td>
<td align="center" valign="middle">&#x2212;2.33 (&#x2212;2.58, &#x2212;2.08)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;5.36 (&#x2212;5.67, &#x2212;5.04)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;5.35 (&#x2212;5.64, &#x2212;5.06)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">High-income North America</td>
<td align="center" valign="middle">&#x2212;2.38 (&#x2212;2.57, &#x2212;2.19)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;0.82 (&#x2212;1.32, &#x2212;0.32)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;0.82 (&#x2212;1.29, &#x2212;0.35)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">North Africa and Middle East</td>
<td align="center" valign="middle">&#x2212;2.10 (&#x2212;2.18, &#x2212;2.01)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;2.64 (&#x2212;2.91, &#x2212;2.38)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;2.62 (&#x2212;2.81, &#x2212;2.43)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Oceania</td>
<td align="center" valign="middle">&#x2212;1.75 (&#x2212;1.87, &#x2212;1.64)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.08 (&#x2212;1.27, &#x2212;0.88)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.11 (&#x2212;1.30, &#x2212;0.91)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">South Asia</td>
<td align="center" valign="middle">&#x2212;0.81 (&#x2212;0.86, &#x2212;0.76)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.15 (&#x2212;1.54, &#x2212;0.76)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.16 (&#x2212;1.54, &#x2212;0.78)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Southeast Asia</td>
<td align="center" valign="middle">&#x2212;1.60 (&#x2212;1.72, &#x2212;1.48)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.36 (&#x2212;1.48, &#x2212;1.25)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.41 (&#x2212;1.53, &#x2212;1.29)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Southern Latin America</td>
<td align="center" valign="middle">&#x2212;0.94 (&#x2212;1.12, &#x2212;0.76)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;3.15 (&#x2212;4.42, &#x2212;1.87)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;3.12 (&#x2212;4.36, &#x2212;1.87)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Southern Sub-Saharan Africa</td>
<td align="center" valign="middle">&#x2212;2.09 (&#x2212;2.59, &#x2212;1.59)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.11 (&#x2212;2.10, &#x2212;0.12)</td>
<td align="center" valign="middle">0.028</td>
<td align="center" valign="middle">&#x2212;1.14 (&#x2212;2.10, &#x2212;0.17)</td>
<td align="center" valign="middle">0.021</td>
</tr>
<tr>
<td align="left" valign="middle">Tropical Latin America</td>
<td align="center" valign="middle">&#x2212;3.33 (&#x2212;3.51, &#x2212;3.14)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;3.02 (&#x2212;3.23, &#x2212;2.80)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;3.06 (&#x2212;3.27, &#x2212;2.85)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Western Europe</td>
<td align="center" valign="middle">&#x2212;2.48 (&#x2212;2.62, &#x2212;2.34)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;3.98 (&#x2212;4.36, &#x2212;3.60)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;3.97 (&#x2212;4.35, &#x2212;3.58)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Western Sub-Saharan Africa</td>
<td align="center" valign="middle">&#x2212;1.00 (&#x2212;1.04, &#x2212;0.96)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.11 (&#x2212;1.25, &#x2212;0.97)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;1.11 (&#x2212;1.24, &#x2212;0.97)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>AAPC, average annual percentage changes; DALYs, disability-adjusted life-years; SDI, Sociodemographic Index; CI, confidence interval.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Joinpoint analysis of the global incidence, mortality, and DALYs rates (per 100,000 population) of Hepatitis B-related cirrhosis among AYAs from 1990 to 2021. <bold>(A)</bold> Overall incidence rate; <bold>(B)</bold> Overall mortality rate; <bold>(C)</bold> Overall DALYs rate; <bold>(D)</bold> Incidence rate in females; <bold>(E)</bold> Mortality rate in females; <bold>(F)</bold> DALYs rate in females; <bold>(G)</bold> Incidence rate in males; <bold>(H)</bold> Mortality rate in males; <bold>(I)</bold> DALYs rate in males. AYAs, Adolescents and Young Adults; DALYs, disability-adjusted life years.</p>
</caption>
<graphic xlink:href="fpubh-12-1494388-g001.tif"/>
</fig>
</sec>
<sec id="sec14">
<label>3.2</label>
<title>The incidence, mortality, and DALYs rates of hepatitis B-related cirrhosis by gender</title>
<p>Compared with 1990, both males and females experienced a reduction in the incidence number and rate of hepatitis B-related cirrhosis in 2021. Specifically, the incidence rate in males decreased from 133.75 per 100,000 to 81.38 per 100,000, while it declined from 88.38 per 100,000 to 53.70 per 100, 000 in females (<xref ref-type="table" rid="tab1">Table 1</xref>). The incidence and mortality rates were higher in males than in females in both 1990 and 2021 (<xref rid="SM1" ref-type="supplementary-material">Supplementary Figures 1, 2</xref>). In addition, the AAPCs of incidence were &#x2212;1.60 (95%CI: &#x2212;1.69 to &#x2212;1.51, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) in males and &#x2212;1.58 (95%CI: &#x2212;1.70 to &#x2212;1.46, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) in females (<xref ref-type="table" rid="tab2">Table 2</xref>), indicating a significant downward trend for both genders (<xref ref-type="fig" rid="fig1">Figures 1D</xref>,<xref ref-type="fig" rid="fig1">G</xref>). Between 1990 and 2021, the number of deaths decreased more in females (11.94%) than in males (6.78%) between 1990 and 2021 (<xref ref-type="table" rid="tab1">Table 1</xref>). Notably, the joinpoint model suggested that the mortality and DALYs rates in males showed a &#x201C;valley&#x201D; in 1997, which differed from the trends in females (<xref ref-type="fig" rid="fig1">Figures 1E</xref>,<xref ref-type="fig" rid="fig1">F</xref>,<xref ref-type="fig" rid="fig1">H</xref>,<xref ref-type="fig" rid="fig1">I</xref>).</p>
</sec>
<sec id="sec15">
<label>3.3</label>
<title>The incidence, mortality, and DALYs rates of hepatitis B-related cirrhosis by age</title>
<p>The incidence rate of hepatitis B-related cirrhosis across all age groups (<xref ref-type="bibr" rid="ref15">15</xref>&#x2013;<xref ref-type="bibr" rid="ref39">39</xref>) decreased between 1990 and 2021 (<xref ref-type="table" rid="tab1">Table 1</xref> and <xref rid="SM1" ref-type="supplementary-material">Supplementary Figure 3</xref>). In particular, the most significant decline was observed in the 15&#x2013;19&#x202F;years, with the incidence rate dropping to 50.93 per 100,000 (95%UI: 40.53 to 62.73) and a 52.66% reduction in incidence number by 2021 (<xref ref-type="table" rid="tab1">Table 1</xref>). In contrast, the incidence number increased by 23.75% in the 30&#x2013;34 age group and by 21.24% in the 35&#x2013;39 age group between 1990 and 2021 (<xref ref-type="table" rid="tab1">Table 1</xref>). Furthermore, the incidence rate in the 30&#x2013;34 age group was the highest among AYAs in 2021, at 77.48 per 100,000 (95%UI: 60.35 to 96.13) (<xref ref-type="table" rid="tab1">Table 1</xref>). Despite an overall reduction in both the number and rate of deaths across all age groups, there remains concern regarding the mortality rate (3.87 per 100,000 [95%UI: 2.93 to 4.92]) and the number of deaths (21.73&#x202F;&#x00D7;&#x202F;10<sup>3</sup> [95%UI: 16.45&#x202F;&#x00D7;&#x202F;10<sup>3</sup> to 27.61&#x202F;&#x00D7;&#x202F;10<sup>3</sup>]) in the 35&#x2013;39 age group, which remains to be the highest among AYAs (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
</sec>
<sec id="sec16">
<label>3.4</label>
<title>The incidence, mortality, and DALYs rates of hepatitis B-related cirrhosis in 204 countries and territories</title>
<p>As in 1990, the regions with the highest incidence rates among AYAs in 2021 were concentrated in parts of Asia and Africa (<xref ref-type="fig" rid="fig2">Figure 2</xref>). Specifically, Somalia (259.67 per 100,000 [95% UI: 182.21 to 334.84]) and the Democratic Republic of the Congo (243.31 per 100,000 [95%UI: 177.14 to 310.03]) had the highest rates, while the United States of America (4.038 per 100,000 [95%UI: 3.05 to 5.15]) had the lowest (<xref ref-type="fig" rid="fig2">Figure 2</xref> and <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 5</xref>). In comparison to 1990, most countries, except the United Kingdom, experienced varying degrees of decline in the incidence rate by 2021. Among these, Niue and Brunei Darussalam showed the most prominent reductions (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 5</xref>). In addition, the overall incidence and mortality rates in China decreased by 53.27 and 53.25%, respectively (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 5</xref>). The highest mortality rates from hepatitis B-related cirrhosis among AYAs were observed in Kiribati (6.04 per 100,000 [95% UI: 3.68 to 8.93]) and Cambodia (5.42 per 100,000 [95% UI: 3.19 to 8.40]) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 5</xref>). In contrast, Nordic countries, such as Sweden (0.03 per 100,000 [95% UI: 0.02 to 0.04]) and Norway (0.04 per 100,000 [95% UI: 0.03 to 0.05]) had the lowest mortality rates (<xref ref-type="fig" rid="fig2">Figure 2</xref> and <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 5</xref>). Ukraine, the Russian Federation, and Belarus showed the most pronounced rise in mortality rates in 2021 compared to 1990 which was similarly reflected in DALYs (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 5</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Geographical distribution of Hepatitis B-related cirrhosis among AYAs in 204 countries and territories. Darker colors indicate higher rates. <bold>(A)</bold> Incidence rate (per 100,000 population) in 1990; <bold>(B)</bold> Incidence rate (per 100,000 population) in 2021; <bold>(C)</bold> Mortality rate (per 100,000 population) in 1990; <bold>(D)</bold> Mortality rate (per 100,000 population) in 2021; <bold>(E)</bold> DALYs rate (per 100,000 population) in 1990; <bold>(F)</bold> DALYs Rate (per 100,000 population) rate in 2021.</p>
</caption>
<graphic xlink:href="fpubh-12-1494388-g002.tif"/>
</fig>
</sec>
<sec id="sec17">
<label>3.5</label>
<title>The incidence, mortality, and DALYs rates of hepatitis B-related cirrhosis in different regions and SDI-level areas</title>
<p>Regarding the AAPC of incidence, all 21 regions worldwide declined from 1990 to 2021 (<xref ref-type="table" rid="tab2">Table 2</xref>). While mortality rates decreased in most regions, they increased in Eastern Europe (AAPC&#x202F;=&#x202F;5.50, 95% CI: 3.93 to 7.09, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) and Central Asia (AAPC&#x202F;=&#x202F;1.40, 95% CI: 0.75 to 2.05, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). The DALYs trends mirrored those of the mortality rates (<xref ref-type="table" rid="tab2">Table 2</xref>). Similar to 1990, the regions with the highest incidence rates were Central Sub-Saharan Africa (221.97 per 100,000 [95% UI: 163.70 to 281.87]) and Western Sub-Saharan Africa (174.89 per 100,000 [95% UI: 138.49 to 213.95]) in 2021 (<xref ref-type="table" rid="tab1">Table 1</xref>). Meanwhile, these two regions also had the highest mortality rates, at 2.93 per 100,000 (95% UI: 1.84 to 4.32) and 2.59 per 100,000 (95% UI: 1.76 to 3.53), respectively (<xref ref-type="table" rid="tab1">Table 1</xref>). Conversely, Western Europe and High-income North America had the lowest mortality rates at 0.10 per 100,000 (95% UI: 0.06 to 0.15) and 0.14 per 100,000 (95% UI: 0.11 to 0.20) (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<p>From 1990 to 2021, there was a consistent decline in incidence rates across all SDI levels, with a corresponding decrease in AAPC of incidence (<xref ref-type="fig" rid="fig3">Figure 3</xref>, <xref rid="SM1" ref-type="supplementary-material">Supplementary Figure 3</xref>, and <xref ref-type="table" rid="tab2">Table 2</xref>). However, the burden of hepatitis B-related cirrhosis among AYAs varied significantly across different SDI-level areas (<xref ref-type="table" rid="tab1">Table 1</xref> and <xref ref-type="fig" rid="fig3">Figures 3</xref>, <xref ref-type="fig" rid="fig4">4</xref>). Specifically, the highest incidence rate in 2021 was observed in low-SDI areas (123.11 per 100,000 [95% UI: 97.28 to 150.32]), while the lowest incidence rate was found in the high-SDI areas (20.51 per 100,000 [95% UI: 16.79 to 25.07]) (<xref ref-type="fig" rid="fig3">Figure 3</xref> and <xref ref-type="table" rid="tab1">Table 1</xref>). Similarly, there were notable disparities in the rates of mortality and DALYs across different SDI levels (<xref ref-type="fig" rid="fig3">Figures 3</xref>, <xref ref-type="fig" rid="fig4">4</xref>). Notably, compared with 1990, the numbers of incidences, deaths, and DALYs across all age groups significantly increased by 2021 in low-and low-middle SDI areas (<xref ref-type="fig" rid="fig4">Figure 4</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Trends of incidence, mortality, and DALYs rates (per 100,000 population) of Hepatitis B-related cirrhosis among AYAs from 1990 to 2021 at different SDI levels. <bold>(A)</bold> Overall incidence rate; <bold>(B)</bold> Overall mortality rate; <bold>(C)</bold> Overall DALYs rate; <bold>(D)</bold> Incidence rate in females; <bold>(E)</bold> Mortality rate in females; <bold>(F)</bold> DALYs rate in females; <bold>(G)</bold> Incidence rate in males; <bold>(H)</bold> Mortality rate in males; <bold>(I)</bold> DALYs rate in males. SDI: Sociodemographic Index.</p>
</caption>
<graphic xlink:href="fpubh-12-1494388-g003.tif"/>
</fig>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>The numbers of incidences, deaths, and DALYs of Hepatitis B-related cirrhosis among AYAs in 1990 and 2021 by SDI level and age.</p>
</caption>
<graphic xlink:href="fpubh-12-1494388-g004.tif"/>
</fig>
</sec>
</sec>
<sec id="sec107">
<label>3.6</label>
<title>BAPC model prediction of the incidence, mortality, and DALYs of hepatitis B-related cirrhosis from 2022 to 2035</title>
<p>The BAPC model predicted a continued decline in the global incidence, mortality, and DALYs rates of hepatitis B-related cirrhosis among AYAs from 2022 to 2035 (<xref rid="SM1" ref-type="supplementary-material">Supplementary Figures 4&#x2013;6</xref> and <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 6</xref>). The overall numbers of incidences and deaths are expected to decline with predicted values of 643.44&#x202F;&#x00D7;&#x202F;10<sup>3</sup> (95% CI: 303.08&#x202F;&#x00D7;&#x202F;10<sup>3</sup> to 983.80&#x202F;&#x00D7;&#x202F;10<sup>3</sup>) and 31.68&#x202F;&#x00D7;&#x202F;10<sup>3</sup> (95% CI: 18.88&#x202F;&#x00D7;&#x202F;10<sup>3</sup> to 44.47&#x202F;&#x00D7;&#x202F;10<sup>3</sup>) by 2035, respectively (<xref rid="SM1" ref-type="supplementary-material">Supplementary Figures 7&#x2013;9</xref> and <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 7</xref>). Furthermore, the incidence and mortality rates at different SDI levels are expected to decrease, reducing disparities across various SDI level areas (<xref ref-type="fig" rid="fig5">Figures 5A</xref>,<xref ref-type="fig" rid="fig5">B</xref> and <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 8</xref>). Notably, the numbers of incidences and deaths in low-SDI areas are projected to continue increasing (<xref ref-type="fig" rid="fig5">Figures 5C</xref>,<xref ref-type="fig" rid="fig5">D</xref>). Specifically, the BAPC model predicted that the incidence number in low-SDI areas will rise to 331.02&#x202F;&#x00D7;&#x202F;10<sup>3</sup> (95% CI: 201.39&#x202F;&#x00D7;&#x202F;10<sup>3</sup> to 460.65&#x202F;&#x00D7;&#x202F;10<sup>3</sup>) by 2035 (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 9</xref>). Additionally, the estimated number of deaths in low-SDI areas is expected to increase to 8.69&#x202F;&#x00D7;&#x202F;10<sup>3</sup> (95% CI: 5.18&#x202F;&#x00D7;&#x202F;10<sup>3</sup> to 12.20&#x202F;&#x00D7;&#x202F;10<sup>3</sup>) by 2035 (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 9</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>BAPC model prediction of incidences and deaths of Hepatitis B-related cirrhosis among AYAs from 2022 to 2035 at different SDI levels. <bold>(A)</bold> Prediction of incidence rate (per 100,000 population); <bold>(B)</bold> Prediction of mortality rate (per 100,000 population); <bold>(C)</bold> Prediction of incidence number (&#x00D7;10<sup>3</sup>); <bold>(D)</bold> Prediction of number of deaths (&#x00D7;10<sup>3</sup>). BAPC, Bayesian age-period-cohort.</p>
</caption>
<graphic xlink:href="fpubh-12-1494388-g005.tif"/>
</fig>
</sec>
<sec sec-type="discussion" id="sec18">
<label>4</label>
<title>Discussion</title>
<p>In this study, we comprehensively explored the incidence, mortality, and DALYs rates of hepatitis B-related cirrhosis among AYAs (15&#x2013;39&#x202F;years) at the global, regional, and national levels for the first time using data from the GBD 2021 database. The study revealed significant changes in global incidence, mortality, and DALYs over three decades, with predictions extending to 2035.</p>
<p>Our finding revealed a downward trend in the incidence, mortality, and DALYs rates of hepatitis B among AYAs worldwide from 1990 to 2021. These findings align with previous studies on the global burden of hepatitis B and cirrhosis (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref9">9</xref>). Of particular interest is the observation that the rates of mortality and DALYs reached a low point in 1997 according to the joinpoint model. This decline may be attributed to the initial promotion of the hepatitis B vaccine and vertical transmission prevention strategies in the early 1990s (<xref ref-type="bibr" rid="ref26">26</xref>). This resulted in a significant decline in the short-term mortality rate by reducing new infections and vertical transmission. Furthermore, we noted a slower decline in the global mortality and DALYs rates in 2019. According to WHO data, the estimated deaths from viral hepatitis increased from 1.1 million in 2019 to 1.3 million in 2022, with 83% of deaths attributed to hepatitis B. This increase may be related to the sharp decline in CHB consultations, testing, and treatment rates during the COVID-19 pandemic (<xref ref-type="bibr" rid="ref27">27</xref>, <xref ref-type="bibr" rid="ref28">28</xref>).</p>
<p>The data revealed disparities in the burden of hepatitis B-related cirrhosis among genders and age groups. It was observed that males consistently experienced higher rates of incidence and mortality than females, which may be related to higher alcohol consumption, increased occupational exposure risks, and differences in sex hormone levels (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref29">29</xref>). These findings highlight the need for sex-specific public health interventions to address these disparities. Furthermore, the significant decline in incidence rates among adolescents (15&#x2013;19&#x202F;years) underscores the effectiveness of enhanced vaccination programs, particularly the vaccine catch-up program (<xref ref-type="bibr" rid="ref30">30</xref>), as well as increased awareness of hepatitis B prevention and transmission (<xref ref-type="bibr" rid="ref31">31</xref>).</p>
<p>However, the incidence number of HBV-related cirrhosis among AYAs (30&#x2013;39&#x202F;years) increased slightly, especially in low-and low-middle SDI areas. Our findings expand our global perspective on the prevention and control of hepatitis B: challenges, achievements, and pathways to its elimination by 2030. This is concerning because individuals aged 30&#x2013;39 are at a critical stage in their social and economic life, and their health status significantly impacts their families and society. The most important reason for the slight increase in the incidence of HBV-related cirrhosis among AYAs (30&#x2013;39&#x202F;years) is the low proportion of children under 5&#x202F;years and 5&#x2013;19&#x202F;years who are protected by the hepatitis B vaccine (<xref ref-type="bibr" rid="ref32">32</xref>). Despite expanded newborn hepatitis B vaccination programs, approximately 28% of children under age 5&#x202F;years and 47% of children aged 5&#x2013;19&#x202F;years remain unprotected from hepatitis B in low-and low-middle SDI areas (<xref ref-type="bibr" rid="ref32">32</xref>). Low health awareness may lead to infrequent HBV screening, while unhealthy habits like drinking and smoking can accelerate CHB progression to cirrhosis (<xref ref-type="bibr" rid="ref33">33</xref>). In addition, long-term antiviral treatment may be particularly challenging in this age group (<xref ref-type="bibr" rid="ref34">34</xref>). This highlights the need for targeted interventions and enhanced surveillance to prevent CHB progression.</p>
<p>Despite the overall global decline, this study revealed substantial regional disparities in the incidence and mortality rates of hepatitis B-related cirrhosis. Several African countries, such as Somalia and the Democratic Republic of the Congo, had the highest incidence rates, while Kiribati and Cambodia had the highest mortality rates in the Western Pacific region. In contrast, the United States and Nordic countries exhibited significantly lower incidence and mortality rates. This result was inseparable from the local hepatitis B prevention and control policies. According to WHO data, Africa accounts for 63% of new HBV infections; however, only 18% of newborns in the region had received the hepatitis B birth dose vaccine. The Western Pacific region accounts for 47% of HBV-related deaths, but treatment coverage remains low (<xref ref-type="bibr" rid="ref4">4</xref>). In addition, a study on hepatitis B prevention and control policies showed that Somalia had the lowest hepatitis B prevention and control policy score (<xref ref-type="bibr" rid="ref35">35</xref>).</p>
<p>China is a populous country, and the incidence and mortality rates of hepatitis B-related cirrhosis among AYAs have declined significantly since 1990. Since the early 1990s, China has included hepatitis B vaccines in its immunization management plan, actively promoted anti-HBV treatment, and expanded the indications for antiviral treatment of CHB (<xref ref-type="bibr" rid="ref36">36</xref>). This demonstrates that the hepatitis B vaccine and antiviral drugs play vital roles in reducing the incidence of hepatitis B-related cirrhosis. Furthermore, the variance and mutation rates of the HBV genotypes are important influencing factors. For example, hepatitis B virus genotype A is primarily distributed in Europe, America, and Africa, while Genotypes B and C are common in Asia, with genotype C being predominant in East Asia and Southeast Asia (<xref ref-type="bibr" rid="ref37">37</xref>). Notably, genotype C exhibits a high mutation rate increasing susceptibility to cirrhosis and liver cancer (<xref ref-type="bibr" rid="ref38">38</xref>). Moreover, patients with genotypes A and B showed a better response to interferon treatment than those with genotype C (<xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref38">38</xref>). Furthermore, there has been a significant increase in the mortality rate in Eastern Europe, particularly in Ukraine and the Russian Federation. This upward trend may be linked to ongoing regional conflicts.</p>
<p>The significant correlation between the burden of cirrhosis and SDI score underscores the impact of socioeconomic factors on health outcomes. Low and low-middle SDI areas face significant challenges, including limited healthcare access, inadequate vaccination coverage, and insufficient resources for effective disease management. For example, financial protection was lower in the African Region, where only approximately one-third of the reporting countries provided viral hepatitis services free of charge (<xref ref-type="bibr" rid="ref4">4</xref>). In addition, in some high-prevalence areas, such as sub-Saharan Africa, the incidence and mortality rates are high owing to poor sanitary conditions. This may be related to the lack of vaccination efforts and the risk of horizontal HBV transmission (<xref ref-type="bibr" rid="ref39">39</xref>).</p>
<p>Liver cirrhosis and liver cancer associated with childhood-acquired CHB are leading causes of death among adults in low-and low-middle SDI areas. Based on recommendations of the WHO and multiple public health experiences (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref30">30</xref>), the adoption of a nationwide free catch-up hepatitis B vaccination program for unvaccinated children and adolescents in low SDI areas, in addition to ongoing efforts to improve birth dose and newborn vaccination coverage, will be cost-saving and can generate significant population-wide health benefits.</p>
<p>Furthermore, enhanced financial support for public health development and increased access to antiviral treatment are essential for mitigating the future burden of hepatitis B-related cirrhosis in low-and middle-income countries. Anti-virus treatment can reduce the incidence of HBV-related complications and improve patient survival rate, and it is the most important treatment measure for chronic HBV infection (<xref ref-type="bibr" rid="ref40">40</xref>). The WHO 2024 guidelines (<xref ref-type="bibr" rid="ref6">6</xref>), which advocate increased HBV diagnosis rates, expanded treatment standards for patients with CHB, (including adolescents), and broader antiviral treatment indications, are crucial steps in mitigating the future burden of hepatitis B-related cirrhosis.</p>
<p>This study&#x2019;s innovative application of the BAPC model provides robust and reliable predictions of future disease trends. These findings provide valuable information for the prevention and management of hepatitis B and cirrhosis in various countries and regions. However, our study had some limitations. First, the effects of alcohol consumption and dietary factors on hepatitis B-related cirrhosis among AYAs were not considered. Second, we did not differentiate between compensated and decompensated stages of cirrhosis. Additionally, although the GBD data are comprehensive, GBD data are based on estimates and corrections, which may introduce some deviations. Discrepancies in the quality of original data across different countries and territories, such as variations in diagnostic reporting and health monitoring levels, may lead to underreporting or overestimation. Nonetheless, using up-to-date data and advanced statistical methods, we ensured the reliability and reproducibility of our findings.</p>
</sec>
<sec sec-type="conclusions" id="sec19">
<label>5</label>
<title>Conclusion</title>
<p>In summary, the overall burden of hepatitis B-related cirrhosis among AYAs significantly decreased from 1990 to 2021. However, there was a slight increase in incidence number among individuals aged 30&#x2013;39&#x202F;years. Furthermore, the substantial burden and projected increase in the numbers of incidences and deaths in low-SDI areas emphasize the need for sustained and targeted public health interventions. Enhancing financial support for public health, strengthening maternal and infant blockade of HBV infection, increasing antiviral coverage, and monitoring cirrhosis, especially in low-and middle-income countries, are crucial steps in mitigating the future burden of CHB and cirrhosis.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec20">
<title>Data availability statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found at: <ext-link xlink:href="https://ghdx.healthdata.org/gbd-2021" ext-link-type="uri">https://ghdx.healthdata.org/gbd-2021</ext-link>.</p>
</sec>
<sec sec-type="author-contributions" id="sec21">
<title>Author contributions</title>
<p>QH: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing &#x2013; original draft. XC: Data curation, Formal analysis, Methodology, Writing &#x2013; original draft. RX: Data curation, Formal analysis, Software, Visualization, Writing &#x2013; original draft, Methodology. WH: Data curation, Methodology, Writing &#x2013; review &#x0026; editing, Investigation. SW: Software, Visualization, Writing &#x2013; review &#x0026; editing, Data curation. SG: Software, Visualization, Writing &#x2013; review &#x0026; editing, Data curation. JH: Data curation, Investigation, Writing &#x2013; review &#x0026; editing, Software. JL: Writing &#x2013; review &#x0026; editing. RZ: Writing &#x2013; review &#x0026; editing. YY: Conceptualization, Funding acquisition, Supervision, Writing &#x2013; review &#x0026; editing, Formal analysis, Methodology, Project administration.</p>
</sec>
<sec sec-type="funding-information" id="sec22">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was supported by the State Key Projects Specialized on Infectious Disease, Chinese Ministry of Science and Technology (Grant No. 2018ZX10725506), and Research and Translational Application of Clinical Characteristic Diagnosis and Treatment Technology in the Capital (Grant No. Z221100007422002).</p>
</sec>
<ack>
<p>We would like to thank the Institute for Health Metrics and Evaluation at the University of Washington for providing access to the GBD database. We also appreciate the valuable comments and suggestions from our peer reviewers.</p>
</ack>
<sec sec-type="COI-statement" id="sec23">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="sec24">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec25">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fpubh.2024.1494388/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpubh.2024.1494388/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Data_Sheet_2.XLSX" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr"><p>AAPC, average annual percentage change; APC, annual percentage change rate; AYAs, adolescents and young adults; BAPC, Bayesian age-period-cohort; CHB, chronic hepatitis B; CI, confidence interval; CIs, confidence intervals; DALYs, disability-adjusted life years; GBD, Global Burden of Disease; HBV, Hepatitis B virus; HCC, hepatocellular carcinoma; SDI, Sociodemographic Index; UI, uncertainty interval; UIs, uncertainty intervals; WHO, World Health Organization.</p></fn>
</fn-group>
<fn-group>
<fn id="fn0001"><p><sup>1</sup><ext-link xlink:href="https://ghdx.healthdata.org/gbd-2021" ext-link-type="uri">https://ghdx.healthdata.org/gbd-2021</ext-link></p></fn>
<fn id="fn0002"><p><sup>2</sup><ext-link xlink:href="https://vizhub.healthdata.org/gbd-results/" ext-link-type="uri">https://vizhub.healthdata.org/gbd-results/</ext-link></p></fn>
<fn id="fn0003"><p><sup>3</sup><ext-link xlink:href="https://surveillance.cancer.gov/joinpoint/" ext-link-type="uri">https://surveillance.cancer.gov/joinpoint/</ext-link></p></fn>
</fn-group>
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