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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychol.</journal-id>
<journal-title>Frontiers in Psychology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychol.</abbrev-journal-title>
<issn pub-type="epub">1664-1078</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyg.2021.744865</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Relationships Between Childhood Health Experience and Depression Among Older People: Evidence From China</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Yao</surname> <given-names>Min</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1415047/overview"/>
</contrib>
</contrib-group>
<aff><institution>School of Marxism, Dalian University of Technology</institution>, <addr-line>Dalian</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Esperanza Navarro-Pardo, University of Valencia, Spain</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Bo Hou, Bradford Teaching Hospitals NHS Foundation Trust, United Kingdom; Peng Xiong, Jinan University, China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Min Yao, <email>yaominxuezi@163.com</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Psychology of Aging, a section of the journal Frontiers in Psychology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>03</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>744865</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>10</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2021 Yao.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Yao</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>
<p>The assessment of childhood health experience helps to identify the risk of depression among older people. Poor childhood experience is generally associated with depression in adulthood. However, whether such association can be extended to older people&#x2019; life remains unclear. The history of parental mental health was obtained from 2014 CHARLS Wave 3 (Life History Survey) data while other data from 2011 CHARLS Wave 1 baseline data. The study involves 4,306 respondents. The depression was assessed by the Chinese version of Center for Epidemiologic Studies Depression scales (CES-D) using logistic regression model. More than 40% of older people suffered from depression, 25% of whom experienced poor childhood self-reported health. Nearly 20% of their mothers and more than 10% of their fathers had a history of poor mental health. Poor childhood health experiences have shown to be associated with higher odds of depression (good self-reported health OR: 0.732, <italic>p</italic> = 0.000, 95% CI: 0.633&#x2013;0.847; poor mother&#x2019;s mental health OR: 1.391, <italic>p</italic> = 0.001, 95% CI: 1.138&#x2013;1.699; poor father&#x2019;s mental health OR: 1.457, <italic>p</italic> = 0.003, 95% CI: 1.141&#x2013;1.862). There is a high rate of depression among the older adults in China. In China, older people with poor childhood health experiences are more likely to suffer from depression.</p>
</abstract>
<kwd-group>
<kwd>childhood health experience</kwd>
<kwd>depression</kwd>
<kwd>CHARLS</kwd>
<kwd>aging</kwd>
<kwd>mental health</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="51"/>
<page-count count="7"/>
<word-count count="6370"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="S1">
<title>Introduction</title>
<p>Depression is a common psychiatric disorder among middle-aged and older adults people, affecting an estimated 322 million people worldwide (<xref ref-type="bibr" rid="B49">World Health Organization, 2017</xref>). Depression is accompanied with substance abuse (<xref ref-type="bibr" rid="B30">Hjorth&#x00F8;j et al., 2015</xref>), chronic pain (<xref ref-type="bibr" rid="B23">Gadermann et al., 2012</xref>), impaired quality of life (<xref ref-type="bibr" rid="B31">Ibrahim et al., 2013</xref>), reduced life expectancy, and increased risk of suicide (<xref ref-type="bibr" rid="B35">Laursen et al., 2016</xref>). Depression is a serious public health issue in both developed and developing countries. Moreover, given the rapid rate of aging worldwide, late-life depression has become a critical concern around the world (<xref ref-type="bibr" rid="B38">Moussavi et al., 2007</xref>; <xref ref-type="bibr" rid="B25">Gertner et al., 2017</xref>), with its prevalence rising from 4.7% to 16% (<xref ref-type="bibr" rid="B7">Blazer, 2003</xref>). According to data from baseline data of the China Health and Retirement Longitudinal Study (CHARLS), 30% of men and 45% of women aged 45 and above in China suffered from depression (<xref ref-type="bibr" rid="B36">Lei et al., 2014</xref>), which indicates that depression has become a prominent problem in China. It is suggested that the timely identification of people at high risk of depression helps doctors diagnose the disorder earlier (<xref ref-type="bibr" rid="B8">Cairns et al., 2014</xref>). Therefore, the early detection of depression poses a challenge for health improvement.</p>
<p>However, early detection of depression is inseparable from consideration of childhood experiences (<xref ref-type="bibr" rid="B13">Colman and Ataullahjan, 2010</xref>), because depression is jointly caused by biological, psychological, and social factors (<xref ref-type="bibr" rid="B44">Urrea and Pedraza, 2000</xref>). The retrospective and prospective studies have demonstrated that childhood experiences are related to higher prevalence of late-life depression (<xref ref-type="bibr" rid="B5">Betts, 2014</xref>). Furthermore, the life course indicates that early life experiences will produce an enduring impact on the consequences throughout the whole life course (<xref ref-type="bibr" rid="B18">Elder, 1998</xref>, <xref ref-type="bibr" rid="B17">2018</xref>; <xref ref-type="bibr" rid="B51">Zheng and Hu, 2018</xref>).</p>
<p>Childhood experiences describes experiences which are out of the child&#x2019;s control such as loss of a parent (<xref ref-type="bibr" rid="B43">Tiet et al., 1998</xref>). Childhood is a critical and sensitive period in determining an individual&#x2019;s later health. Childhood experiences are often linked to physical abuse, sexual abuse, poverty or household dysfunction. Evidences suggest that childhood experiences have accumulative effects on an individual&#x2019;s health outcomes (<xref ref-type="bibr" rid="B41">Scott et al., 2012</xref>). Childhood may shape neurobiological and immunes system development and these changes may persist over the whole life course (<xref ref-type="bibr" rid="B42">Teicher et al., 2003</xref>). Currently, many researches focus on the relationship between poor childhood experiences and depression (<xref ref-type="bibr" rid="B10">Chapman et al., 2004</xref>; <xref ref-type="bibr" rid="B22">Ford et al., 2011</xref>; <xref ref-type="bibr" rid="B39">Nakai et al., 2014</xref>; <xref ref-type="bibr" rid="B37">Maclean et al., 2016</xref>; <xref ref-type="bibr" rid="B6">Bj&#x00F6;rkenstam et al., 2017</xref>; <xref ref-type="bibr" rid="B28">Green et al., 2018</xref>) and a negative relationship is observed. However, there is still a research gap in this regard. First, most studies have looked at adults, and it remains unclear whether the relationship extends to older adults. Second, existing studies about childhood experiences do not cover childhood health experiences. Currently, most of the literature concerning the association between childhood experiences and depression focus on childhood neighborhood quality, friendship (<xref ref-type="bibr" rid="B12">Chen et al., 2020</xref>), early peer relationship (<xref ref-type="bibr" rid="B33">Jiang and Wang, 2020</xref>), etc. However, such research does not take the childhood health into consideration. It is known to all that in China, the older people are the target population, born between 1940s and 1960s. What they have in common is that they all experienced a period of poor childhood health as they were born during war, famine and baby boom (<xref ref-type="bibr" rid="B33">Jiang and Wang, 2020</xref>). From the life course perspective, their poor childhood health experience could have a non-negligible and enduring impact on their later psychological health (<xref ref-type="bibr" rid="B24">George, 2014</xref>). But the relevant research remains unclear. Therefore, in this paper we aim to fill this research gap by exploring the association between childhood health experiences and depression among older people in China. As noted above, the effects of childhood may persist throughout the life course, and we hypothesize that poor health experiences in childhood may negatively affect depression among older Chinese adults.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Design and Sample</title>
<p>The China Health and Retirement Longitudinal Study (CHARLS) was conducted to collect a high quality nationally representative sample of Chinese residents aged 45 and above in 2011, which was supported by Peking University, the National Natural Science Foundation of China, the Behavioral and Social Research Division of the National Institute on Aging and the World Bank. The data collection has been approved by the institutional review board at Peking University and the data will be updated annually. About 10,000 households and 17,500 individuals in 150 counties/districts and 450 villages/resident committees were included in the baseline survey. Multi-stage stratified PPS sampling was adopted in CHARLS (<xref ref-type="bibr" rid="B50">Zhao et al., 2014</xref>). CHARLS 2011 baseline survey data and 2014 CHARLS Wave 3 (Life History Survey) data were used in this research. Childhood parental health was extracted from 2014 CHARLS Wave3 (Life History Survey) data. All other data were obtained from CHARLS 2011 baseline survey data. People whose age &#x2265; 60 were included, since 60 years old was the cut-off point between mid-aged people and older people in China. The data processing flow chart is demonstrated in <xref ref-type="fig" rid="F1">Figure 1</xref>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Data processing flow chart.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-12-744865-g001.tif"/>
</fig>
</sec>
<sec id="S2.SS2">
<title>Measures</title>
<sec id="S2.SS2.SSS1">
<title>Childhood Self-Reported Health</title>
<p>Health is a complex concept and it is difficult to grasp all the relevant aspects. Most of the time, people tend to reflect it on self-reported health status, which is a valuable source of data on various aspects of overall health (<xref ref-type="bibr" rid="B32">Idler and Benyamini, 1997</xref>) and is easy to implement. Now it is widely collected in almost all countries. In this research, we adopted childhood self-reported health to reflect the respondents&#x2019; heath conditions during childhood. Older people were asked about the following question to assess their childhood self-reported health: how do you evaluate your health during childhood, up to and including age 15? The respondents selecting &#x201C;excellent,&#x201D; &#x201C;very good&#x201D; or &#x201C;good&#x201D; was considered that its childhood self-reported health was good and was coded as 1. Those who answered &#x201C;fair&#x201D; or &#x201C;poor&#x201D; were considered to have had poor self-reported health as children and were set to 0.</p>
</sec>
<sec id="S2.SS2.SSS2">
<title>Parental Mental Health</title>
<p>Parental mental health has proven to be an important factor affecting the health experience for people&#x2019;s depression development (<xref ref-type="bibr" rid="B29">Gundel et al., 2018</xref>). We included a history of both mother&#x2019;s and father&#x2019;s mental health in this paper. The respondents were asked &#x201C;during the years when you were growing up, did your father/mother show continued signs of sadness or depression that lasted 2 weeks or more.&#x201D; Those who reported &#x201C;yes&#x201D; were considered that his father&#x2019;s/mother&#x2019;s mental health was poor and were set as 1 while answer of &#x201C;no&#x201D; was set as 0.</p>
</sec>
<sec id="S2.SS2.SSS3">
<title>Health Outcome: Depression</title>
<p>Depression was assessed through the Chinese version of scale items developed by the Center for Epidemiologic Study, with 10 short-form scale items (CESD-10) (<xref ref-type="bibr" rid="B3">Andresen et al., 1994</xref>). The CESD-10 contains response options varying from 0 to 4 [0 = Rarely or none of the time (less than 1 day); 1 = Some or a little of the time (1&#x2013;2 days); 3 = Occasionally or a moderate amount of the time (3&#x2013;4 days); 4 = Most or all of the time (5&#x2013;7 days)] (<xref ref-type="bibr" rid="B1">Amtmann et al., 2014</xref>). The minimum total score of CESD-10 was 0 and the maximum was 30. The respondents with higher CSED-10 score indicated that he/she had a higher level of depressive symptoms. CES-D score of 10 was the cut-off point to identify whether the respondents experienced significant depressive symptoms. The respondents who were likely to suffer from depression had a CES-D score of &#x2265; 10 (<xref ref-type="bibr" rid="B36">Lei et al., 2014</xref>).</p>
</sec>
<sec id="S2.SS2.SSS4">
<title>Potential Confounding Variables</title>
<p>CHARLS collected data about the respondent&#x2019;s age, gender, place of residence, marital status and educational level. These variables were potential confounding variables commonly seen in previous studies (<xref ref-type="bibr" rid="B48">Whitaker et al., 2014</xref>; <xref ref-type="bibr" rid="B4">Bareis and Mezuk, 2018</xref>; <xref ref-type="bibr" rid="B29">Gundel et al., 2018</xref>). We included them in this research. In addition, studies have shown that job position (<xref ref-type="bibr" rid="B48">Whitaker et al., 2014</xref>) and income (<xref ref-type="bibr" rid="B9">Campbell et al., 2016</xref>; <xref ref-type="bibr" rid="B19">Fang and McNeil, 2017</xref>) are also potential confounding variables. Therefore, respondent&#x2019;s retirement status and pension status were included in this research based on the fact that older people&#x2019;s employment status was dependent on their retirement status and that their income is mainly affected by their pension.</p>
</sec>
</sec>
<sec id="S2.SS3">
<title>Analytic Strategy</title>
<p>Continuous variables were displayed through means and standard deviation while categorical variables were described with percentage. A series of logistic regression models were used to assess the association between childhood health experience and depression among Chinese older people: in Model I, we solely accounted for childhood self-reported health; in Model II, we adjusted childhood mother&#x2019;s mental health separately; Model III was similar to Model II, in which childhood father&#x2019;s mental health was taken into the model; in Model IV, we included childhood self-reported health, childhood mother&#x2019;s mental health and childhood father&#x2019;s mental health simultaneously. The odds ratio (OR) and confidence interval (CI) of 95% were calculated. All models were adjusted for all potential confounding variables mainly including age, gender, place of residence, marital status, educational level, retirement status and pension status. If the <italic>p</italic>-value was less than 0.05, it would be considered as statistically significant. All the work was conducted in Stata, version 13.1 (StataCorp. College Station, TX: Stata Corp LP).</p>
</sec>
</sec>
<sec sec-type="results" id="S3">
<title>Results</title>
<p>Descriptive characteristics of the respondents are presented in <xref ref-type="table" rid="T1">Table 1</xref>. The average age of the population was 67.09 years. Men were slightly older on average than women (Male: 67.11; Female: 67.06). 75% of them experienced good childhood self-reported health. Among males, their fathers (12.3%) were more likely to have a poor mental health than females (11.7%) during their childhood, while among females, their mothers (21.1%) had a higher likelihood to experience bad mental health. In terms of depression prevalence, 40.6% of them suffered from depression. Female older people had a higher depression prevalence than male ones. Depression prevalence for females was 44.5% while for 34.0% for males. Among them, more than 50% still lived in rural areas, nearly 40% retired and about 33% enjoyed pension.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Descriptive characteristics of the participants.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center" colspan="2"><bold>Total (4,306)</bold><hr/></td>
<td valign="top" align="center" colspan="2"><bold>Female (2,151)</bold><hr/></td>
<td valign="top" align="center" colspan="2"><bold>Male (2,155)</bold><hr/></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Variables</bold></td>
<td valign="top" align="center"><bold>Mean</bold></td>
<td valign="top" align="center"><bold>Std</bold></td>
<td valign="top" align="center"><bold>Mean</bold></td>
<td valign="top" align="center"><bold>Std</bold></td>
<td valign="top" align="center"><bold>Mean</bold></td>
<td valign="top" align="center"><bold>Std</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Childhood health experience</bold></td>
<td valign="top" align="center"/>
<td/>
<td valign="top" align="center"/>
<td/>
<td valign="top" align="center"/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Self-reported health (good)</td>
<td valign="top" align="center">75.0</td>
<td/>
<td valign="top" align="center">74.5</td>
<td/>
<td valign="top" align="center">75.5</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Mother&#x2019;s mental health (poor)</td>
<td valign="top" align="center">19.7</td>
<td/>
<td valign="top" align="center">21.1</td>
<td/>
<td valign="top" align="center">18.3</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Father&#x2019;s mental health (poor)</td>
<td valign="top" align="center">12.0</td>
<td/>
<td valign="top" align="center">11.7</td>
<td/>
<td valign="top" align="center">12.3</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">67.09</td>
<td valign="top" align="center">5.97</td>
<td valign="top" align="center">67.06</td>
<td valign="top" align="center">6.12</td>
<td valign="top" align="center">67.11</td>
<td valign="top" align="center">5.81</td>
</tr>
<tr>
<td valign="top" align="left">Gender (male)</td>
<td valign="top" align="center">50.0</td>
<td/>
<td valign="top" align="center"/>
<td/>
<td valign="top" align="center"/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Place of residence</bold></td>
<td valign="top" align="center"/>
<td/>
<td valign="top" align="center"/>
<td/>
<td valign="top" align="center"/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Rural</td>
<td valign="top" align="center">63.8</td>
<td/>
<td valign="top" align="center">62.6</td>
<td/>
<td valign="top" align="center">65.0</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Marital status</bold></td>
<td valign="top" align="center"/>
<td/>
<td valign="top" align="center"/>
<td/>
<td valign="top" align="center"/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Married</td>
<td valign="top" align="center">78.4</td>
<td/>
<td valign="top" align="center">71.6</td>
<td/>
<td valign="top" align="center">85.2</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Partnered</td>
<td valign="top" align="center">2.3</td>
<td/>
<td valign="top" align="center">2</td>
<td/>
<td valign="top" align="center">2.6</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Separated</td>
<td valign="top" align="center">0.7</td>
<td/>
<td valign="top" align="center">0.6</td>
<td/>
<td valign="top" align="center">0.7</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Divorced</td>
<td valign="top" align="center">0.6</td>
<td/>
<td valign="top" align="center">0.4</td>
<td/>
<td valign="top" align="center">0.8</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Widowed</td>
<td valign="top" align="center">17.1</td>
<td/>
<td valign="top" align="center">25.2</td>
<td/>
<td valign="top" align="center">9.0</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Never married</td>
<td valign="top" align="center">0.8</td>
<td/>
<td valign="top" align="center">0.1</td>
<td/>
<td valign="top" align="center">1.6</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Education level</bold></td>
<td valign="top" align="center"/>
<td/>
<td valign="top" align="center"/>
<td/>
<td valign="top" align="center"/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Primary school</td>
<td valign="top" align="center">26.5</td>
<td/>
<td valign="top" align="center">17.8</td>
<td/>
<td valign="top" align="center">35.2</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Middle school</td>
<td valign="top" align="center">12.7</td>
<td/>
<td valign="top" align="center">8.1</td>
<td/>
<td valign="top" align="center">17.4</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">High school</td>
<td valign="top" align="center">5.0</td>
<td/>
<td valign="top" align="center">2.7</td>
<td/>
<td valign="top" align="center">7.2</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">College and above</td>
<td valign="top" align="center">1.6</td>
<td/>
<td valign="top" align="center">0.7</td>
<td/>
<td valign="top" align="center">2.6</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Illiteracy</td>
<td valign="top" align="center">54.1</td>
<td/>
<td valign="top" align="center">70.8</td>
<td/>
<td valign="top" align="center">37.5</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">CES-D score</td>
<td valign="top" align="center">8.93</td>
<td valign="top" align="center">6.39</td>
<td valign="top" align="center">10.11</td>
<td valign="top" align="center">6.73</td>
<td valign="top" align="center">7.75</td>
<td valign="top" align="center">5.81</td>
</tr>
<tr>
<td valign="top" align="left">CES-D score &#x2265; 10</td>
<td valign="top" align="center">40.6</td>
<td/>
<td valign="top" align="center">49.4</td>
<td/>
<td valign="top" align="center">31.9</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Retirement status</bold></td>
<td valign="top" align="center"/>
<td/>
<td valign="top" align="center"/>
<td/>
<td valign="top" align="center"/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Retired</td>
<td valign="top" align="center">39.3</td>
<td/>
<td valign="top" align="center">44.5</td>
<td/>
<td valign="top" align="center">34.0</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Pension status</td>
<td valign="top" align="center"/>
<td/>
<td valign="top" align="center"/>
<td/>
<td valign="top" align="center"/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Received</td>
<td valign="top" align="center">33.3</td>
<td/>
<td valign="top" align="center">32.4</td>
<td/>
<td valign="top" align="center">34.2</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<p><xref ref-type="table" rid="T2">Table 2</xref> shows the results of logistic regression analyses. First, we assessed the relationship between childhood self-reported health and depression among older people by Model I. Older people with good self-reported health in childhood significantly had lower likelihood of suffering from depression than those with poor childhood self-reported health as the OR was less than 1 (OR = 0.719<sup>&#x2217;&#x2217;&#x2217;</sup>, 95% CI: 0.622&#x2013;0.830). Next, we evaluated the association between parental mental health in childhood and depression among older people by Model II and Model III. The results indicate that poor parental mental health is associated with a greater probability of having depression, since &#x201C;mother&#x2019;s mental health&#x201D; had an OR of 1.696<sup>&#x2217;&#x2217;&#x2217;</sup> (95% CI: 1.449&#x2013;1.986) and &#x201C;father&#x2019;s mental health&#x201D; had an OR of 1.892<sup>&#x2217;&#x2217;&#x2217;</sup> (95% CI: 1.559&#x2013;2.296). Finally, when we put the three childhood health experience factors into Model IV together, these significant relationships still existed.</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Associations between childhood self-reported health, parental mental health and depression among Chinese older people.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"><bold>Model I</bold></td>
<td valign="top" align="center"><bold>Model II</bold></td>
<td valign="top" align="center"><bold>Model III</bold></td>
<td valign="top" align="center"><bold>Model IV</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Childhood health experience</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Self-reported health (good)</td>
<td valign="top" align="center">0.719<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
<td/>
<td/>
<td valign="top" align="center">0.732<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">[0.622, 0.830]</td>
<td/>
<td/>
<td valign="top" align="center">[0.633, 0.847]</td>
</tr>
<tr>
<td valign="top" align="left">Mother&#x2019;s mental health (poor)</td>
<td/>
<td valign="top" align="center">1.696<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
<td/>
<td valign="top" align="center">1.391<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">[1.449, 1.986]</td>
<td/>
<td valign="top" align="center">[1.138, 1.699]</td>
</tr>
<tr>
<td valign="top" align="left">Father&#x2019;s mental health (poor)</td>
<td/>
<td/>
<td valign="top" align="center">1.892<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">1.457<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="center">[1.559, 2.296]</td>
<td valign="top" align="center">[1.141, 1.862]</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">0.994</td>
<td valign="top" align="center">0.995</td>
<td valign="top" align="center">0.994</td>
<td valign="top" align="center">0.995</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">[0.982, 1.006]</td>
<td valign="top" align="center">[0.983, 1.006]</td>
<td valign="top" align="center">[0.983, 1.006]</td>
<td valign="top" align="center">[0.984, 1.007]</td>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center">0.539<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.539<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.529<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.533<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">[0.469, 0.619]</td>
<td valign="top" align="center">[0.469, 0.620]</td>
<td valign="top" align="center">[0.460, 0.608]</td>
<td valign="top" align="center">[0.463, 0.613]</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Place of residence</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Rural</td>
<td valign="top" align="center">1.464<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">1.440<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">1.446<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">1.421<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">[1.267, 1.691]</td>
<td valign="top" align="center">[1.246, 1.664]</td>
<td valign="top" align="center">[1.251, 1.671]</td>
<td valign="top" align="center">[1.229, 1.644]</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Marital status</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Married</td>
<td valign="top" align="center">0.299<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.278<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.289<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.295<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">[0.147, 0.606]</td>
<td valign="top" align="center">[0.137, 0.564]</td>
<td valign="top" align="center">[0.142, 0.587]</td>
<td valign="top" align="center">[0.145, 0.601]</td>
</tr>
<tr>
<td valign="top" align="left">Partnered</td>
<td valign="top" align="center">0.334<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.305<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.319<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.325<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">[0.148, 0.752]</td>
<td valign="top" align="center">[0.135, 0.688]</td>
<td valign="top" align="center">[0.141, 0.720]</td>
<td valign="top" align="center">[0.143, 0.736]</td>
</tr>
<tr>
<td valign="top" align="left">Separated</td>
<td valign="top" align="center">0.746</td>
<td valign="top" align="center">0.619</td>
<td valign="top" align="center">0.636</td>
<td valign="top" align="center">0.641</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">[0.264, 2.112]</td>
<td valign="top" align="center">[0.218, 1.763]</td>
<td valign="top" align="center">[0.224, 1.806]</td>
<td valign="top" align="center">[0.225, 1.828]</td>
</tr>
<tr>
<td valign="top" align="left">Divorced</td>
<td valign="top" align="center">0.519</td>
<td valign="top" align="center">0.488</td>
<td valign="top" align="center">0.515</td>
<td valign="top" align="center">0.535</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">[0.180, 1.497]</td>
<td valign="top" align="center">[0.169, 1.406]</td>
<td valign="top" align="center">[0.179, 1.486]</td>
<td valign="top" align="center">[0.184, 1.550]</td>
</tr>
<tr>
<td valign="top" align="left">Widowed</td>
<td valign="top" align="center">0.394<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;</sup></xref></td>
<td valign="top" align="center">0.368<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.381<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.389<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">[0.191, 0.812]</td>
<td valign="top" align="center">[0.178, 0.761]</td>
<td valign="top" align="center">[0.185, 0.788]</td>
<td valign="top" align="center">[0.188, 0.806]</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Education level</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Primary school</td>
<td valign="top" align="center">0.866</td>
<td valign="top" align="center">0.892</td>
<td valign="top" align="center">0.892</td>
<td valign="top" align="center">0.901</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">[0.742, 1.012]</td>
<td valign="top" align="center">[0.763, 1.042]</td>
<td valign="top" align="center">[0.764, 1.043]</td>
<td valign="top" align="center">[0.770, 1.053]</td>
</tr>
<tr>
<td valign="top" align="left">Middle school</td>
<td valign="top" align="center">0.606<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.631<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.626<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.638<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">[0.488, 0.754]</td>
<td valign="top" align="center">[0.507, 0.785]</td>
<td valign="top" align="center">[0.504, 0.779]</td>
<td valign="top" align="center">[0.512, 0.794]</td>
</tr>
<tr>
<td valign="top" align="left">High school</td>
<td valign="top" align="center">0.471<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.481<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.485<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.490<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">[0.331, 0.670]</td>
<td valign="top" align="center">[0.338, 0.685]</td>
<td valign="top" align="center">[0.341, 0.690]</td>
<td valign="top" align="center">[0.344, 0.698]</td>
</tr>
<tr>
<td valign="top" align="left">College</td>
<td valign="top" align="center">0.251<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.245<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.253<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.246<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">[0.118, 0.535]</td>
<td valign="top" align="center">[0.115, 0.522]</td>
<td valign="top" align="center">[0.119, 0.538]</td>
<td valign="top" align="center">[0.116, 0.525]</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Retirement status</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Retired</td>
<td valign="top" align="center">0.998</td>
<td valign="top" align="center">1.003</td>
<td valign="top" align="center">1.007</td>
<td valign="top" align="center">1.015</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">[0.863, 1.154]</td>
<td valign="top" align="center">[0.867, 1.160]</td>
<td valign="top" align="center">[0.871, 1.165]</td>
<td valign="top" align="center">[0.877, 1.175]</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Public pension status</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Received</td>
<td valign="top" align="center">0.796<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.801<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.799<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;</sup></xref></td>
<td valign="top" align="center">0.803<xref ref-type="table-fn" rid="t2fn2"><sup>&#x002A;&#x002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">[0.695, 0.912]</td>
<td valign="top" align="center">[0.699, 0.918]</td>
<td valign="top" align="center">[0.697, 0.916]</td>
<td valign="top" align="center">[0.700, 0.920]</td>
</tr>
<tr>
<td valign="top" align="left"><italic>R</italic><sup>2</sup></td>
<td valign="top" align="center">0.0549</td>
<td valign="top" align="center">0.0589</td>
<td valign="top" align="center">0.0587</td>
<td valign="top" align="center">0.0636</td>
</tr>
<tr>
<td valign="top" align="left"><italic>N</italic></td>
<td valign="top" align="center">4,306</td>
<td valign="top" align="center">4,306</td>
<td valign="top" align="center">4,306</td>
<td valign="top" align="center">4,306</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t2fn1"><p><italic>Exponentiated coefficients; 95% confidence intervals in brackets.</italic></p></fn>
<fn id="t2fn2"><p><italic>&#x002A;p &#x003C; 0.05, &#x002A;&#x002A;p &#x003C; 0.01, &#x002A;&#x002A;&#x002A;p &#x003C; 0.001.</italic></p></fn>
<fn id="t2fn3"><p><italic>Reference level: gender (female); marital status (unmarried); education level (illiteracy); place of residence (urban).</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec sec-type="discussion" id="S4">
<title>Discussion</title>
<p>Former studies concentrate more on the enduring health effect of early childhood adversities, and the enduring health effect of childhood health experience has received little attention. Drawing on the life course theory, this is the first study to assess the enduring health effect of multidimensional childhood health experiences, including childhood self-reported health and parental mental health. Using a representative sample of 4,306 individuals, this study examined whether childhood health experience was associated with depression among older people in China. The results confirm our hypothesis that after adjusting for several confounding variables, both poor childhood self-reported health and poor childhood parental mental health are associated with higher likelihood of suffering from depression among older people. Thus, more attention should be paid to older people who had poor childhood health experience to actively cope with the high prevalence of depression among older people in China. This study is a comprehensive research to explore the childhood health experience factors influencing older people&#x2019;s depressive symptoms.</p>
<p>Generally speaking, the results of this study support the view of life course theory that early life experiences will produce an enduring impact on the consequences throughout the whole life course (<xref ref-type="bibr" rid="B18">Elder, 1998</xref>, <xref ref-type="bibr" rid="B17">2018</xref>; <xref ref-type="bibr" rid="B51">Zheng and Hu, 2018</xref>). The findings demonstrate that poor childhood self-reported health experience had a strong positive correlation with depressive symptoms, which is in line with the results of <xref ref-type="bibr" rid="B16">Danese and McEwen (2012)</xref>. Childhood experiences covered different aspects, such as physical abuse, parental separation, low family socioeconomic status and malnutrition. It is reported that a history of poor childhood experience is a high-risk group with respect to depression in young adulthood (<xref ref-type="bibr" rid="B6">Bj&#x00F6;rkenstam et al., 2017</xref>). Our findings are consistent with those of the study on childhood experience, implying that poor childhood experience is correlated with depression. Prior studies looking at the childhood experiences related to mental health also support this relationship. <xref ref-type="bibr" rid="B2">Anda et al. (2002)</xref> point out that the number of poor childhood experiences had a graded relationship to depression (<xref ref-type="bibr" rid="B2">Anda et al., 2002</xref>). In their study, one of the poor childhood experiences that they used was mentally illness, as an aspect of childhood health. They were assessed for depression in adulthood. Another similar research confirms this negative relationship. <xref ref-type="bibr" rid="B29">Gundel et al. (2018)</xref> indicate that children and adolescents with non-affective mental disorders are at substantially increased absolute and relative risk of developing depression in young adulthood. And an increased relative risk for depression in children with anxiety disorders has also been observed (<xref ref-type="bibr" rid="B14">Copeland et al., 2013</xref>). The results of poor childhood self-reported health in this study are consistent with theirs. But childhood self-reported health reflects a more comprehensive health status in childhood than mental health used in other studies, and we extended the negative relationship to older people, which was more specific. This can be explained by the following reasons based on the life course perspectives. Many literatures have suggested that nutritional adversity in childhood will have a lasting impact on people&#x2019;s health throughout the life course (<xref ref-type="bibr" rid="B26">Gluckman et al., 2005</xref>; <xref ref-type="bibr" rid="B34">Kesternich et al., 2014</xref>). As mentioned earlier, older people suffered from malnutrition in childhood because they were born during the war, the famine and the baby boom (<xref ref-type="bibr" rid="B33">Jiang and Wang, 2020</xref>). The consequences caused by poor childhood health may accumulate over time and can finally lead to chronic diseases later in life, while chronic diseases may increase risk of depression.</p>
<p>History of parental health status is an important childhood experience for everyone. Our results demonstrate that children whose parents suffer from mental health problems are associated with a higher risk of depression in the older age. Previous studies examined the impact of different factors such as psychopathology, morbidity, and mortality on the offspring of parents with depression from birth to adulthood, and found that people whose parents had poor mental health status were more likely to have depression (<xref ref-type="bibr" rid="B45">Weissman et al., 1997</xref>, <xref ref-type="bibr" rid="B46">2016</xref>, <xref ref-type="bibr" rid="B47">2006</xref>). <xref ref-type="bibr" rid="B11">Chapman et al. (2018)</xref> indicate that exposure to mental illness during childhood has an effect on the risk of depressive disorders. Prior studies have shown that history of adverse parental status contributes to depression (<xref ref-type="bibr" rid="B6">Bj&#x00F6;rkenstam et al., 2017</xref>). It is suggested that parental death, parental substance abuse, substantial parental criminality, parental psychiatric morbidity and parental separation help to predict depression in early adulthood (<xref ref-type="bibr" rid="B27">Green et al., 2010</xref>; <xref ref-type="bibr" rid="B40">Sareen et al., 2013</xref>; <xref ref-type="bibr" rid="B6">Bj&#x00F6;rkenstam et al., 2017</xref>; <xref ref-type="bibr" rid="B15">Dahl et al., 2018</xref>). In particular, parental psychiatric morbidity has been reported to be a key factor for depression (<xref ref-type="bibr" rid="B11">Chapman et al., 2018</xref>). In this research, we used history of parental mental health status as an indicator for childhood health experience. Our results are in line with theirs. We found that individuals who had history of poor parental mental health were at a high risk of depression, as suggested by previous literature (<xref ref-type="bibr" rid="B6">Bj&#x00F6;rkenstam et al., 2017</xref>). This can also be rationally explained by the life course theory that parental mental health has an enduring effect on offspring&#x2019;s mental health outcomes (<xref ref-type="bibr" rid="B21">Ferraro and Shippee, 2009</xref>). When living with their parents with poor mental health status, people in their childhood were easily affected by negative emotions, such as depression, anxiety and fear. Additionally, they could not receive adequate health care and emotional support from their parents. Thus, they were surrounded with a poor health status atmosphere. The long-term surroundings will promote their depressive symptoms development, which can lead to life-long consequences.</p>
<p>This study has the following limitations. First, we relied on self-reported data on childhood health experience. However, the low prevalence of adverse childhood health experiences in this population sample may reflect recall bias. A common fact is that most of the population in this sample was born 60 years ago while they possibly lived through the Great Chinese Famine at that time or they may be malnourished. And at that time the death rate was very high (<xref ref-type="bibr" rid="B20">Feng and Johansson, 2018</xref>). However, only a quarter of them reported that their childhood health was poor. Therefore, our results may be underestimated. Another drawback is that we only used CES-D to assess depression. Although CES-D has been widely used to assess depression, it is not a golden rule to diagnose depression and CES-D may result in an underestimation or overestimation for depressive symptoms. Finally, we only included three childhood health indicators in our research because we hoped to conduct our research from the perspective of childhood health experience. Other childhood experiences like childhood neighborhood quality and relationships with parents may also influence depression among older people. Further research is needed to explore the impact of other potential factors on depression.</p>
</sec>
<sec sec-type="conclusion" id="S5">
<title>Conclusion</title>
<p>In conclusion, we find that having poor childhood health experience is associated with depression in older people. The results show that individuals with poor childhood health experience are at high risk of depression in older life. Given the importance of childhood, early and enough support for older people of having poor childhood health is important to improve their mental health. And early preventive interventions should invest in children with a history of poor childhood health experience.</p>
</sec>
<sec sec-type="data-availability" id="S6">
<title>Data Availability Statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found here: <ext-link ext-link-type="uri" xlink:href="http://charls.pku.edu.cn/">charls.pku.edu.cn/</ext-link>.</p>
</sec>
<sec id="S7">
<title>Ethics Statement</title>
<p>The study was reviewed and approved by the Institutional Review Board of Peking University with ethical approval no. (IRB00001052-11014). Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec id="S8">
<title>Author Contributions</title>
<p>The author confirms being the sole contributor of this work and has approved it for publication.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The author declares 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="pudiscl1">
<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>
</body>
<back>
<ack>
<p>The China Center for Economic Research was acknowledged and we would like to thank the National School of Development at Peking University for providing the CHALRS data.</p>
</ack>
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