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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>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2022.892108</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>Level of Adequate Knowledge of Non-communicable Diseases and Associated Factors Among Adult Residents of North Shewa Zone, Oromia Region, Ethiopia: A Mixed-Method Approach</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Legesse</surname> <given-names>Elsabeth</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Nigussie</surname> <given-names>Tadesse</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1300135/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Girma</surname> <given-names>Derara</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1580345/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Geleta</surname> <given-names>Leta Adugna</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1661282/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Dejene</surname> <given-names>Hiwot</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1661091/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Deriba</surname> <given-names>Berhanu Senbeta</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1269574/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Geleta</surname> <given-names>Tinsae Abeya</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1269894/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Sahlu</surname> <given-names>Degemu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1480726/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Tesema</surname> <given-names>Mengistu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Tilahun</surname> <given-names>Ayele</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Awol</surname> <given-names>Mukemil</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1658324/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Teshome</surname> <given-names>Firanbon</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1809215/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Midaksa</surname> <given-names>Gachana</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1757086/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Bati</surname> <given-names>Feyiso</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Public Health, College of Health Science, Salale University</institution>, <addr-line>Fitche</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Nursing, College of Health Science, Salale University</institution>, <addr-line>Fitche</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Midwifery, College of Health Science, Salale University</institution>, <addr-line>Fitche</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Health Behavior and Society, Faculty of Public Health, Institute of Health, Jimma University</institution>, <addr-line>Oromia</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Public Health, College of Health Sciences, School of Public Health, Mizan Tepi University</institution>, <addr-line>Mizan Tepi</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff6"><sup>6</sup><institution>Department of Public Health, College of Health Sciences, Dire Dawa University</institution>, <addr-line>Dire Dawa</addr-line>, <country>Ethiopia</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Melanie Boeckmann, University of Bremen, Germany</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Jo&#x000E3;o Ramalho-Santos, University of Coimbra, Portugal; Krushna Chandra Sahoo, Regional Medical Research Center (ICMR), India</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Derara Girma <email>deraragirma24&#x00040;gmail.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Public Health Education and Promotion, a section of the journal Frontiers in Public Health</p></fn>
<fn fn-type="equal" id="fn002"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>06</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>10</volume>
<elocation-id>892108</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>03</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>05</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Legesse, Nigussie, Girma, Geleta, Dejene, Deriba, Geleta, Sahlu, Tesema, Tilahun, Awol, Teshome, Midaksa and Bati.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Legesse, Nigussie, Girma, Geleta, Dejene, Deriba, Geleta, Sahlu, Tesema, Tilahun, Awol, Teshome, Midaksa and Bati</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>
<title>Background</title>
<p>Non-communicable diseases (NCDs) are currently the leading cause of morbidity and mortality, posing significant challenges to global healthcare systems. Particularly, the prevalence of NCDs is rising in Ethiopia, resulting in a triple burden of diseases on the health system that disproportionately affects all age groups. Hence, this study aims to determine the level of adequate knowledge of NCDs and associated factors among adult residents of the North Shewa zone, Oromia region, Ethiopia.</p>
</sec>
<sec>
<title>Methods</title>
<p>A community-based cross-sectional study with a concurrent mixed-method approach was conducted from April 1, 2021 to May 30, 2021 among 846 residents using the multistage sampling technique. Interviewer administered questionnaire was used to collect quantitative data and a guiding checklist was used to collect qualitative data. Bivariable and multivariable logistic regressions were fitted to compute the association between explanatory variables and knowledge of NCDs. Adjusted odds ratios at 95% confidence interval with a <italic>p</italic>-value &#x0003C; 0.05 were used to decree statistical significance in multivariable analysis. Also, a thematic framework analysis was used for qualitative data analysis.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 823 subjects have participated in this study making a response rate of 97.3%. The level of adequate knowledge was 33.9% (95%CI: 30.67, 37.13). Higher-income, receiving information from health professionals, owning a TV, having a family member with NCD(s), and marital status were factors significantly associated with adequate knowledge of NCDs.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>This study reveals a high level of inadequate knowledge of NCDs despite its foundational ability in tackling the burden of NCDs. As a result, broadening a wider and more comprehensive health promotion strategy for the prevention of triple burden of NCDs would benefit the population. Additionally, special efforts are needed both at the practice and policy levels targeting the disadvantaged groups, such as low-income people, those who do not receive information from health professionals, those who do not own a television, and those who are widowed/divorced, who were found to have less knowledge of NCDs.</p>
</sec></abstract>
<kwd-group>
<kwd>non-communicable disease</kwd>
<kwd>knowledge</kwd>
<kwd>associated factors</kwd>
<kwd>adult</kwd>
<kwd>Ethiopia</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="36"/>
<page-count count="8"/>
<word-count count="6002"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Non-communicable diseases (NCDs) are a group of conditions that include cardiovascular diseases, chronic respiratory diseases, cancers, and diabetes (<xref ref-type="bibr" rid="B1">1</xref>). However, the term &#x0201C;NCDs&#x0201D; has come to refer to a wide range of health concerns, including hepatic, renal, and gastroenterological diseases, endocrine, hematological, and neurological disorders, dermatological conditions, genetic disorders, trauma, mental disorders, and disabilities (e.g., blindness and deafness) (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>According to the World Health Organization (WHO) (2021), NCDs kill 41 million people each year, accounting for 71% of all deaths worldwide, with 77% of NCD deaths occurring in low- and middle-income countries (LMICs). Subsequently, the most common NCD is cardiovascular disease, which kills 17.9 million people each year, followed by cancer (9.3 million), respiratory disorders (4.1 million), and diabetes (1.5 million) (<xref ref-type="bibr" rid="B3">3</xref>). This unnoticed epidemic is a major cause of poverty and a significant impediment to many countries&#x00027; economic growth (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>Tobacco use, physical inactivity, harmful alcohol use, and unhealthy diets are all linked to an increased risk of dying from NCDs (<xref ref-type="bibr" rid="B3">3</xref>). Furthermore, modifiable risk factors like high blood pressure, obesity, elevated blood sugar level, and high blood cholesterol, as well as non-modifiable risk factors like age, gender, genetic factors, race, and ethnicity, were revealed to increase the risk of NCDs (<xref ref-type="bibr" rid="B5">5</xref>&#x02013;<xref ref-type="bibr" rid="B7">7</xref>). Nonetheless, detection, screening, and treatment of NCDs, as well as palliative care, are all important parts of the NCD response (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Many NCDs have historically been linked to economic growth and termed &#x0201C;diseases of the rich.&#x0201D; However, nowadays, the burden of NCDs has increased in developing countries (<xref ref-type="bibr" rid="B7">7</xref>), while a dramatic decrease in NCDs-related burden is recorded in developed countries (<xref ref-type="bibr" rid="B9">9</xref>). As a result of aging, increased unplanned urbanization, and globalization of unhealthy lifestyles, the burden of NCDs and associated risk factors continues to rise in African countries (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>Concerning knowledge of NCDs, studies conducted among diverse populations in different countries have revealed varying levels of knowledge of NCDs. Accordingly, a good level of knowledge was reported to be 81.2% in Malaysia (<xref ref-type="bibr" rid="B11">11</xref>), 57.9% in Bangladesh (<xref ref-type="bibr" rid="B12">12</xref>), 46.7% in Spain (<xref ref-type="bibr" rid="B13">13</xref>), 43.8% in Saudi Arabia (<xref ref-type="bibr" rid="B14">14</xref>), 43% in Sri Lanka (<xref ref-type="bibr" rid="B15">15</xref>), 27.7% in Malaysia (<xref ref-type="bibr" rid="B16">16</xref>), 25% in China (<xref ref-type="bibr" rid="B17">17</xref>), and 12.5% in Myanmar (<xref ref-type="bibr" rid="B18">18</xref>). Furthermore, a finding from China indicates chronic diseases knowledge varied from 29.5 to 90.2% (<xref ref-type="bibr" rid="B19">19</xref>).</p>
<p>Regarding factors associated with knowledge of NCDs; being females (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B19">19</xref>), age (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>), higher level of education (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>), higher wealth index (<xref ref-type="bibr" rid="B18">18</xref>), higher income (<xref ref-type="bibr" rid="B12">12</xref>), having health insurance (<xref ref-type="bibr" rid="B19">19</xref>), having a family history of chronic disease(s) (<xref ref-type="bibr" rid="B17">17</xref>&#x02013;<xref ref-type="bibr" rid="B19">19</xref>), participating in society discussion (<xref ref-type="bibr" rid="B19">19</xref>), and more frequently gathering with friends/relatives (<xref ref-type="bibr" rid="B19">19</xref>), not smoking (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B15">15</xref>), physical activity (<xref ref-type="bibr" rid="B12">12</xref>), receiving NCDs health information and self-care instructions from their physicians (<xref ref-type="bibr" rid="B17">17</xref>) were found to heighten the likelihood of having an adequate level of knowledge about NCDs.</p>
<p>In a particular, the prevalence of NCDs is increasing in Ethiopia, resulting in a triple burden of diseases to the health system (i.e., communicable diseases, NCDs, and injuries) that disproportionately affects all age groups (<xref ref-type="bibr" rid="B22">22</xref>). Subsequently, the likelihood of dying prematurely from one of the main NCDs is 17.4% for males and 16.9% for females in Ethiopia (<xref ref-type="bibr" rid="B23">23</xref>). Furthermore, the country&#x00027;s NCD mortality is primarily attributed to cardiovascular diseases (CVDs) and cancer (<xref ref-type="bibr" rid="B24">24</xref>). Concerningly, NCDs have been identified as future threats that Ethiopia&#x00027;s health sector will be unable to address on its own, necessitating multisectoral collaboration (<xref ref-type="bibr" rid="B25">25</xref>). Predominantly, inadequate knowledge of NCDs is one of the principal causes of high mortality, along with inadequate screening, early detection, and treatment, and insufficient diagnostic and treatment facilities available in the country (<xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>Overall, the epidemic of NCDs poses challenging health consequences for individuals, families, and communities, and threatens to overwhelm healthcare systems (<xref ref-type="bibr" rid="B3">3</xref>). Moreover, knowledge gaps about NCDs and their risk factors in the general population are significant barriers to effective NCD prevention and treatment (<xref ref-type="bibr" rid="B26">26</xref>). However, despite the enormous challenge that NCDs pose, the level of adequate knowledge and associated factors remain unidentified in Ethiopia (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B27">27</xref>). As a result, a need for further study on the knowledge of NCDs is suggested (<xref ref-type="bibr" rid="B28">28</xref>). Hence, the present study aims to determine the level of adequate knowledge of NCDs and associated factors among adult residents of the North Shewa zone, Oromia region, Ethiopia. Given all of the research gaps and needs for further investigation in Ethiopia, conducting such a study will result in early detection, a reduction in the NCD burden, and guidance in the development of an effective policy.</p>
</sec>
<sec id="s2">
<title>Methods and Materials</title>
<sec>
<title>Study Area, Design, and Period</title>
<p>The study was conducted in the North Shewa zone, Oromia region, Ethiopia. The zone has a total area of 10,322.48 km<sup>2</sup> and a population density of 138.66 people per km<sup>2</sup>, with 13 rural districts and two town administrations. Furthermore, the Zone has a total population of approximately 1,639,586 people, of whom 717,552 are men and reside in 521,506 households. Fiche town &#x02013; the zone&#x00027;s capital &#x02013; is 112 kilometers north of Addis Ababa &#x02013;Ethiopia&#x00027;s capital. Additionally, the zone has 64 health centers and five public hospitals that provide health care services to the community. A community-based cross-sectional study design with a concurrent mixed-method approach was conducted from April 1, 2021 to May 30, 2021.</p>
</sec>
<sec>
<title>Populations and Eligibility Criteria</title>
<p>A source population consisted of all adults over the age of 18 who were permanent residents (individuals who live at least 6 months) of a selected town in the North Shewa zone. A study population was randomly selected adult residents for a quantitative study. A qualitative study was conducted among purposely selected residents, health care providers, and public health experts.</p>
</sec>
<sec>
<title>Sample Size, Sampling Frame, and Participants Recruitment</title>
<p>The sample size was determined using a single population proportion formula in Epi Info STAT CALC. version 7.2 based on the assumptions of a 95% confidence level, 5% margin of error (d), and a 50% proportion (p) of knowledge of NCDs. Because no similar study had previously been conducted in Ethiopia, 50% was taken. After applying a design effect of 2 and a 10% non-response rate, the final sample size obtained was 846. Additionally, a total of five sessions of Focus Group Discussions (FGDs) were conducted among residents in the selected districts. Each FGD was composed of 10 residents. Additionally, 10 In-Depth Interview (IDI) was conducted among health care providers with different professionals and public health experts. Regarding a sampling technique, a multistage sampling technique was used. Towns in the zone were purposely selected since the prevalence of NCDs is high among urban populations. Thirty percent of the towns in the zone were randomly selected by lottery method, namely Fiche, Kuyu, Debretsige, Mukaturi, and Gundomeskel town. Consequently, 30% of their kebeles (small administration units) were included in the study. The sample size was proportionally allocated to each town. Finally, a computer-generated simple random sampling technique was used to select households from the kebeles using house numbers. In a household with more than one adult individual, the lottery method was used to select one of them. For the qualitative part, the purposive sampling technique was employed considering maximum variability with the assumption of obtaining relevant data to supplement the research objectives. The intention was to explore detailed information on NCDs knowledge and healthy lifestyle in society.</p>
</sec>
<sec>
<title>Data Collection Tools, Personnel, and Procedures</title>
<p>The data collection tool was developed after reviewing previously done studies and it has four sections including; socio-demographic, exposure to NCDs information, knowledge of NCDs, and practices of healthy lifestyles (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B29">29</xref>&#x02013;<xref ref-type="bibr" rid="B32">32</xref>). The knowledge measuring tool was reliable in this study (Cronbach-alpha = 0.72). Ten experienced BSc nurses were recruited for data collection, and onsite supervision was provided by five BSc in public health supervisors to facilitate data collection procedures on a daily basis. Data were collected through a face-to-face interview by using a pre-tested questionnaire. Additionally, FGDs and IDIs were used to get participants&#x00027; experiences related to knowledge of NCDs. By using an open-ended guiding list of questions, five sessions of FGDs were undertaken to explore the knowledge of NCDs and the healthy life practice of the community. The FGDs were moderated by an experienced health professional and note taker. During the discussion, notes were taken and their voices were recorded using a tape recorder. Similarly, 10 sessions of IDIs were conducted among health care providers and public health experts.</p>
</sec>
<sec>
<title>Study Variables</title>
<p>The dependent variable of the study was the level of adequate knowledge of NCDs. Knowledge was assessed by 32 questions related to respondents&#x00027; knowledge about NCDs and their risk factors. Correct answers were given a score of 1 and incorrect answers were given 0. The total possible score ranged from 0 to 32. A cut-off level &#x02265;60%, of the individual percentage scores, was selected as an indicator of adequate knowledge (<xref ref-type="bibr" rid="B15">15</xref>). As well, in the current study the tool has an acceptable reliability (Cronbach-alpha = 0.81). The explanatory variables were socio-demographic (age, sex, religion, marital status, educational status, occupational status, income, and ethnicity), exposure information about NCDs (getting information from media, getting information from health professionals, getting information from family members, having family members with NCDs and having friends with NCDs) and behavioral factors (physical activity, alcohol and tobacco use).</p>
</sec>
<sec>
<title>Data Processing and Analysis</title>
<p>The collected data were checked for completeness manually and entered, cleaned, and checked by Epi data manager version 4.0.2 and then exported to SPSS version 23 for analysis. Descriptive analysis of different variables was done based on their nature. Bivariable analysis was done using binary logistic regression for all independent variables and a <italic>p</italic>-value &#x0003C; 0.25 was used to consider candidate variables for the multivariable analysis. Finally, a multivariable binary logistic regression analysis was done to control for possible confounders and to identify factors significantly associated with an adequate level of knowledge of NCDs at a <italic>p</italic>-value of &#x0003C; 0.05 with a 95% confidence interval adjusted odds ratio. Model fitness was checked using the Hosmer and Lemeshow goodness of fit model and it was fitted (<italic>p</italic>-value = 0.12). as well, the variance inflation factor was set at five to detect multicollinearity among explanatory variables, and no multicollinearity was found. Besides, before analyzing data, all FGDs and IDIs were transcribed in Afan Oromo text by replaying the recorded voice from tape and the notes taken during discussion. Then, the Afan Oromo version text was translated into English language. Different ideas in the text were merged in their thematic areas and thematic framework analysis was done manually. The results were presented in narration by triangulating with quantitative findings.</p>
</sec>
<sec>
<title>Ethical Consideration</title>
<p>Ethical approval was obtained from the ethical review committee of Salale University. A permission letter was obtained from the respective district and kebele administration before data collection. Written informed consent was obtained from each study participant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Socio-Demographic Characteristics</title>
<p>A total of 823 respondents have completed the study making a response rate of 97.3%. The mean age (standard deviation) of the respondents was 31.83 (11.04) years. Of the total participants, more than half, 443 (53.8%) were females. Regarding marital status, 497 (60.4%) of them were married. Approximately, one-third, 255 (31%) of them attended above secondary education. Furthermore, the majority, 628 (76.3%) of the participants were from the Oromo ethnic group. Additionally, nearly a fourth, 189 (23%) of them were a merchant (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Socio-demographic characteristics of adult residents of selected towns in North Shewa zones, Oromia region, central Ethiopia, 2021.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="left"><bold>Categories</bold></th>
<th valign="top" align="center"><bold>Frequency (<italic>n</italic> &#x0003D; 823)</bold></th>
<th valign="top" align="center"><bold>Percentage</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age group</td>
<td valign="top" align="left">18&#x02013;24</td>
<td valign="top" align="center">230</td>
<td valign="top" align="center">27.9</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">25&#x02013;29</td>
<td valign="top" align="center">205</td>
<td valign="top" align="center">24.9</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">30&#x02013;34</td>
<td valign="top" align="center">113</td>
<td valign="top" align="center">13.7</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">&#x0003E;34</td>
<td valign="top" align="center">275</td>
<td valign="top" align="center">33.4</td>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">380</td>
<td valign="top" align="center">46.2</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">443</td>
<td valign="top" align="center">53.8</td>
</tr>
<tr>
<td valign="top" align="left">Marital status</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">270</td>
<td valign="top" align="center">32.8</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Married</td>
<td valign="top" align="center">497</td>
<td valign="top" align="center">60.4</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Divorced</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">2.9</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Widowed</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">3.9</td>
</tr>
<tr>
<td valign="top" align="left">Religion</td>
<td valign="top" align="left">Orthodox</td>
<td valign="top" align="center">607</td>
<td valign="top" align="center">73.7</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Protestant</td>
<td valign="top" align="center">176</td>
<td valign="top" align="center">21.5</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Muslim</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">2.9</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Others</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">1.9</td>
</tr>
<tr>
<td valign="top" align="left">Educational status</td>
<td valign="top" align="left">No education</td>
<td valign="top" align="center">153</td>
<td valign="top" align="center">18.6</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Primary</td>
<td valign="top" align="center">212</td>
<td valign="top" align="center">25.8</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Secondary</td>
<td valign="top" align="center">203</td>
<td valign="top" align="center">24.7</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Above secondary</td>
<td valign="top" align="center">255</td>
<td valign="top" align="center">31.0</td>
</tr>
<tr>
<td valign="top" align="left">Occupation</td>
<td valign="top" align="left">Housewife</td>
<td valign="top" align="center">162</td>
<td valign="top" align="center">19.7</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Gov&#x00027;t employee</td>
<td valign="top" align="center">187</td>
<td valign="top" align="center">22.7</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Farmer</td>
<td valign="top" align="center">91</td>
<td valign="top" align="center">11.1</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Merchant</td>
<td valign="top" align="center">189</td>
<td valign="top" align="center">23.0</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Students</td>
<td valign="top" align="center">154</td>
<td valign="top" align="center">18.7</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Others</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">4.9</td>
</tr>
<tr>
<td valign="top" align="left">Ethnic background</td>
<td valign="top" align="left">Oromo</td>
<td valign="top" align="center">628</td>
<td valign="top" align="center">76.3</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Amhara</td>
<td valign="top" align="center">160</td>
<td valign="top" align="center">19.4</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">others</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">4.3</td>
</tr>
<tr>
<td valign="top" align="left">Monthly income</td>
<td valign="top" align="left">&#x0003D; &#x0003C;3,578</td>
<td valign="top" align="center">341</td>
<td valign="top" align="center">56.6</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">&#x0003E;3,578</td>
<td valign="top" align="center">261</td>
<td valign="top" align="center">43.4</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Knowledge of NCDs</title>
<p>On the 32 items tool measuring respondents&#x00027; knowledge about NCDs, the mean score (standard deviation) of respondents was 14.6 (4.34). Of the total, 279 (33.9%) of the participants had an adequate level of knowledge (<xref ref-type="fig" rid="F1">Figure 1</xref>). Regarding the causes of NCDs, more than two-thirds, 568 (69.0%) stated that NCDs are caused by supernatural power (God). In line with this, a misconception about the cause of the disease was observed among FGD participants. For instance, a 31 years old male discussant said &#x0201C;&#x02026; <italic>Eating vegetables can lead to chronic diseases such as diabetes and hypertension due to their low nutritional value and weakness in increasing protection against these diseases</italic>&#x02026;&#x0201D; Regarding the onset time, about 446 (54.2%) of the study participants said that NCDs onset only at an older age (<xref ref-type="table" rid="T2">Table 2</xref>). Similarly, participants of IDI explained that there is no sufficient knowledge in the community regarding NCDs. For example, a 34 years old female clinical nurse said that &#x0201C;<italic>Because there is a lack of public awareness about these diseases, people seek medical attention after they develop complications</italic>&#x02026;&#x0201D; Also, a male public health expert of 29 years old working at a health center explained that the community has no awareness about NCDs. He has elucidated that &#x0201C;<italic>In general, there is a lack of awareness among communities about their health status. They drink as much alcohol as they desire, and no one engages in physical activity... They are unconcerned about NCDs..</italic>.&#x0201D;</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Knowledge level of NCDs among adult residents of selected towns of north Shewa zone, Oromia region, central Ethiopia, 2021.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-10-892108-g0001.tif"/>
</fig>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Knowledge measuring variables among adult residents of selected towns of north Shewa zone, Oromia region, central Ethiopia, 2021.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Variable</bold></th>
<th valign="top" align="left"><bold>Categories</bold></th>
<th valign="top" align="center"><bold>Frequency (percentage) of a correct answer</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Perception of NCD</td>
<td valign="top" align="left">NCDs are caused by supernatural power</td>
<td valign="top" align="center">568 (69.0)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">NCDs occur only at old age</td>
<td valign="top" align="center">446 (54.2)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">NCDs are a public health problem</td>
<td valign="top" align="center">757 (92.0)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">NCDs cause premature death</td>
<td valign="top" align="center">696 (84.6)</td>
</tr>
<tr>
<td valign="top" align="left">Types of NCDs</td>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">752 (91.4)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">DM</td>
<td valign="top" align="center">682 (82.9)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">CHD</td>
<td valign="top" align="center">273 (33.2)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">COPD</td>
<td valign="top" align="center">86 (10.4)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Cancer</td>
<td valign="top" align="center">309 (37.5)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Accident</td>
<td valign="top" align="center">23 (2.8)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Blindness</td>
<td valign="top" align="center">31 (3.8)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Stroke</td>
<td valign="top" align="center">66 (8.0)</td>
</tr>
<tr>
<td valign="top" align="left">Risk factors of NCDs</td>
<td valign="top" align="left">Smoking</td>
<td valign="top" align="center">541 (65.7)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Alcohol drinking</td>
<td valign="top" align="center">503 (61.1)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Passive smoker</td>
<td valign="top" align="center">94 (11.4)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Obesity</td>
<td valign="top" align="center">310 (37.7)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Consuming junk food</td>
<td valign="top" align="center">281 (34.1)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Stress</td>
<td valign="top" align="center">364 (44.2)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Anxiety</td>
<td valign="top" align="center">151 (18.3)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Consuming excess salt</td>
<td valign="top" align="center">409 (49.7)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Lack of physical exercise</td>
<td valign="top" align="center">185 (22.5)</td>
</tr>
<tr>
<td valign="top" align="left">Complication of NCDs</td>
<td valign="top" align="left">Intracranial bleeding</td>
<td valign="top" align="center">166(20.2)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Stroke</td>
<td valign="top" align="center">487 (59.2)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Heart disease</td>
<td valign="top" align="center">112 (13.6)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Premature death</td>
<td valign="top" align="center">696 (84.6)</td>
</tr>
<tr>
<td valign="top" align="left">Prevention method of NCDs</td>
<td valign="top" align="left">Quit smoking</td>
<td valign="top" align="center">449 (56.7)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Avoid alcohol drinking</td>
<td valign="top" align="center">514 (64.9)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Doing physical exercise</td>
<td valign="top" align="center">379 (47.9)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Avoid excess salt</td>
<td valign="top" align="center">345 (43.6)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Losing weight</td>
<td valign="top" align="center">243 (30.7)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Eating healthy diet</td>
<td valign="top" align="center">365 (46.1)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Timely screening</td>
<td valign="top" align="center">681 (83.3)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Factors Associated With Knowledge of NCDs</title>
<p>In bivariable analysis, variables such as sex, age group, educational status, marital status, income, occupation, presence of TV, getting information from health professionals, having neighbors with NCDs, and presence of a family member(s) with NCDs were significantly associated with the knowledge of NCDs. In multivariable analysis, income, getting information from health professionals, owning a TV, having a family member with NCD, and being widowed/divorced were significantly associated with adequate knowledge of NCDs. Accordingly, respondents who earn a monthly income of &#x02265;3,578 were almost two times more likely to have adequate knowledge about NCDs as compared with those who earn a monthly income of &#x0003C;3,578 (AOR = 1.68, 95% CI: 1.05&#x02013;2.68). Respondents who received information from health professionals were more than twice more likely to have adequate knowledge of NCDs when compared with those do not receive information from health professionals (AOR = 2.29, 95% CI:1.53&#x02013;3.45). Moreover, having family members with NCDs was associated with the knowledge of residents i.e., respondents who have family members with NCDs were more than two times more likely to have adequate knowledge of NCDs when compared to their counterparts (AOR = 2.23, 95% CI:1.49&#x02013;3.35). Besides, respondents who possessed television were more than twice more likely to have adequate knowledge about NCDs as compared to those who don&#x00027;t possess television (AOR = 2.48, 95%CI:1.32&#x02013;4.65). Additionally, the marital status of the respondents determines the level of NCDs knowledge. Thus, the likelihood of having adequate knowledge among divorced and widowed participants is 0.80 less likely as compared to unmarried participants (AOR = 0.20, 95%CI:0.07&#x02013;0.59) (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Factors associated with knowledge of NCDs among adult residents of selected towns of north Shewa zone, Oromia region, central Ethiopia, 2021.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="left"><bold>Categories</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Knowledge status</bold></th>
<th valign="top" align="center"><bold>COR (95%CI)</bold></th>
<th valign="top" align="center"><bold>AOR (95%CI)</bold></th>
</tr>
<tr>
<th/>
<th/>
<th valign="top" align="center"><bold>Adequate</bold></th>
<th valign="top" align="center"><bold>Inadequate</bold></th>
<th/>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">160</td>
<td valign="top" align="center">220</td>
<td valign="top" align="center">1.98 (1.48&#x02013;2.65)</td>
<td valign="top" align="center">1.20 (0.76&#x02013;1.89)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">119</td>
<td valign="top" align="center">324</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Marital status</td>
<td valign="top" align="left">Married</td>
<td valign="top" align="center">159</td>
<td valign="top" align="center">338</td>
<td valign="top" align="center">0.75 (0.55&#x02013;1.02)</td>
<td valign="top" align="center">0.56 (0.31&#x02013;1.01)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Divorced &#x00026; widowed</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">0.64 (0.34&#x02013;1.19)</td>
<td valign="top" align="center"><bold>0.20 (0.07</bold>&#x02013;<bold>0.59)</bold> <bold><xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></bold></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">104</td>
<td valign="top" align="center">166</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Educational status</td>
<td valign="top" align="left">Primary</td>
<td valign="top" align="center">163</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">0.69 (0.45&#x02013;1.12)</td>
<td valign="top" align="center">0.62(0.33&#x02013;1.17)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Secondary</td>
<td valign="top" align="center">125</td>
<td valign="top" align="center">78</td>
<td valign="top" align="center">1.45 (0.93&#x02013;2.26)</td>
<td valign="top" align="center">0.77 (0.40&#x02013;1.48)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Above secondary</td>
<td valign="top" align="center">149</td>
<td valign="top" align="center">106</td>
<td valign="top" align="center">1.66 (1.08&#x02013;2.53)</td>
<td valign="top" align="center">1.27 (0.64&#x02013;2.52)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No education</td>
<td valign="top" align="center">107</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Occupation</td>
<td valign="top" align="left">Gov&#x00027;t employee</td>
<td valign="top" align="center">82</td>
<td valign="top" align="center">105</td>
<td valign="top" align="center">2.41 (1.60&#x02013;3.61)</td>
<td valign="top" align="center">0.96 (0.48&#x02013;1.92)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Merchant</td>
<td valign="top" align="center">71</td>
<td valign="top" align="center">118</td>
<td valign="top" align="center">1.85 (1.23&#x02013;2.79)</td>
<td valign="top" align="center">1.24 (0.71&#x02013;2.16)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Students</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">95</td>
<td valign="top" align="center">1.91 (1.24&#x02013;2.95)</td>
<td valign="top" align="center">1.07 (0.33&#x02013;3.49)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Students</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">0.44 (0.17&#x02013;1.17)</td>
<td valign="top" align="center">0.37 (0.12&#x02013;1.17)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Housewife</td>
<td valign="top" align="center">62</td>
<td valign="top" align="center">191</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Age group</td>
<td valign="top" align="left">&#x0003E;34</td>
<td valign="top" align="center">165</td>
<td valign="top" align="center">110</td>
<td valign="top" align="center">1.32 (0.92&#x02013;1.91)</td>
<td valign="top" align="center">1.70 (0.86&#x02013;3.37)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">30-34</td>
<td valign="top" align="center">72</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">1.13 (0.71&#x02013;1.81)</td>
<td valign="top" align="center">1.11 (0.52&#x02013;2.35)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">25-29</td>
<td valign="top" align="center">154</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">0.66 (0.43&#x02013;1.00)</td>
<td valign="top" align="center">0.51 (0.25&#x02013;1.04)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">&#x0003C;25</td>
<td valign="top" align="center">153</td>
<td valign="top" align="center">77</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Income</td>
<td valign="top" align="left">&#x0003E;3578</td>
<td valign="top" align="center">144</td>
<td valign="top" align="center">117</td>
<td valign="top" align="center">2.27 (1.61&#x02013;3.19)</td>
<td valign="top" align="center"><bold>1.68 (1.05</bold>&#x02013;<bold>2.68)</bold> <bold><xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></bold></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">&#x0003D; &#x0003C;3578</td>
<td valign="top" align="center">251</td>
<td valign="top" align="center">90</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Owning TV</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">400</td>
<td valign="top" align="center">232</td>
<td valign="top" align="center">1.78 (1.23&#x02013;2.57)</td>
<td valign="top" align="center"><bold>2.48 (1.32</bold>&#x02013;<bold>4.65)</bold> <bold><xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></bold></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">144</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Getting information from HP</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">258</td>
<td valign="top" align="center">187</td>
<td valign="top" align="center">2.25 (1.67&#x02013;3.05)</td>
<td valign="top" align="center"><bold>2.13 (1.41</bold>&#x02013;<bold>3.22)</bold> <bold><xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></bold></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">286</td>
<td valign="top" align="center">92</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Having family member with NCD</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">99</td>
<td valign="top" align="center">119</td>
<td valign="top" align="center">3.34 (2.42&#x02013;4.61)</td>
<td valign="top" align="center"><bold>2.21 (1.46</bold>&#x02013;<bold>3.34)</bold> <bold><xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></bold></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">445</td>
<td valign="top" align="center">160</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>COR, Crude Odds Ratio; AOR, Adjusted Odds Ratio; CI, Confidence Interval; 1, References</italic>;</p> 
<fn id="TN1">
<label>&#x0002A;</label> 
<p><italic>significant at p-value &#x0003C; 0.05; HP, Health Professionals</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Exposure to Information About NCDs</title>
<p>Concerning information exposure, all of the study participants heard about NCDs. The majority of the participants, 619 (75.2%) of them heard about NCDs from Television (TV) (<xref ref-type="fig" rid="F2">Figure 2</xref>). Comparable to this a 32 years old male participant in FGD stated that &#x0201C;<italic>&#x02026;I usually watch TV in my spare time, and there are advertisements on TV that promote healthy behavior such as reducing salt consumption, quitting smoking, and receiving immunization against diseases such as the human papillomavirus, which causes cervical cancer.&#x02026;&#x0201D;</italic></p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Sources of information about NCDs among adult residents of selected towns of north Shewa zone, Oromia region, central Ethiopia, 2021. &#x0002A;Friends, Neighbors, Newspapers.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-10-892108-g0002.tif"/>
</fig>
<p>Of the total, 218 (26.5%) of study participants have a family member(s) with NCDs. This view is echoed by a 24 years old female FGD participant as; &#x0201C;<italic>&#x02026; My father has been suffering from hypertension and diabetes mellitus. Once upon a time, he was admitted to the hospital due to an extremely high blood sugar level, for which I had been caring for him. And, a nurse told me that such diseases have their roots at a young age and advised me to take preventive measures such as eating vegetables, exercising regularly, avoiding high-fat foods, and getting regular health check-ups.&#x02026;&#x0201D;</italic></p>
<p>The prevalent NCD was hypertension accounting for 187 (22.7%). This is also evidenced by IDI results. A 41 years old male public health officer stated that &#x0201C;<italic>&#x02026;I&#x00027;ve been serving in this community for over 8 years, and the most common NCD I&#x00027;ve observed is hypertension, followed by diabetes mellitus&#x02026;&#x0201D;</italic></p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>This study aims to determine the adequate level of knowledge of NCDs and associated factors among adult residents of the North Shewa zone, Oromia region, Ethiopia. Accordingly, the level of adequate knowledge of NCDs among residents was 33.9% (95%CI: 30.67, 37.13). Income, receiving information from health professionals, owning a TV, having a family member with NCD(s), and marital status were factors significantly associated with adequate knowledge of NCDs.</p>
<p>About 33.9% of the participants had an adequate level of knowledge of NCDs. The current study is consistent with a study from Rwanda (35.0%) (<xref ref-type="bibr" rid="B21">21</xref>). However, the prevalence of the current study is lower than the studies from Bangladesh (57.9%) (<xref ref-type="bibr" rid="B12">12</xref>), Spain (46.7%) (<xref ref-type="bibr" rid="B13">13</xref>), Saudi Arabia (43.8%) (<xref ref-type="bibr" rid="B14">14</xref>), and Sri Lanka (43%) (<xref ref-type="bibr" rid="B15">15</xref>). The variation might be due to differences in the study population, sampling techniques, and sociodemographic characteristics. In contrast, the finding of this study is higher than the study done in Malaysia (27.7%) (<xref ref-type="bibr" rid="B16">16</xref>). Utilization of different knowledge measuring tools may result in discrepancies. Additionally, the current magnitude is higher than a study done in China (25%) (<xref ref-type="bibr" rid="B17">17</xref>) and much higher than a study from Myanmar (12.5%) (<xref ref-type="bibr" rid="B18">18</xref>). The difference might be attributed to variation in a study population and study settings (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>In a current study, having a family member with NCD(s) had increased the likelihood of NCDs knowledge. This is also evidenced by previous studies (<xref ref-type="bibr" rid="B17">17</xref>&#x02013;<xref ref-type="bibr" rid="B19">19</xref>). Because this will lead to improved consideration of disease control for themselves eventually (<xref ref-type="bibr" rid="B17">17</xref>). Besides, this might be due to study subjects&#x00027; involvement in caregiving to family members&#x00027; with NCD(s) (<xref ref-type="bibr" rid="B18">18</xref>). Moreover, receiving information from health professionals increased the chance of adequate NCDs knowledge. The previous study also supports this finding (<xref ref-type="bibr" rid="B17">17</xref>). This is because receiving counseling services from health care providers will contribute to a discussion on various health topics, resulting in increased knowledge and understanding of NCDs.</p>
<p>Furthermore, having a higher income has resulted in a higher likelihood of having adequate knowledge of NCDs. This finding was supported by previous studies (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B18">18</xref>). This could be explained as the presence of a concentration of risky behaviors for NCDs among the poorest residents (<xref ref-type="bibr" rid="B18">18</xref>). Additionally, owning a TV as a source of information is significantly associated with adequate knowledge of NCDs. The previous research also found that mass media, including television, has a massive capacity to assist healthy behavioral changes attributed to NCDs (<xref ref-type="bibr" rid="B33">33</xref>). Moreover, being widowed/divorced was found to have inadequate knowledge of NCDs in a current study. As a result, being widowed was associated with worse health outcomes (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>).</p>
<sec>
<title>Implications for Policy and Practice</title>
<p>As NCDs are one of the major health and development challenges we face today, investigating a related theme will lead to a deep understanding of the problem and searching for an effective solution like detection, screening, treatment, and palliative care. Particularly, Ethiopia&#x00027;s health system is working to implement awareness-raising programs on NCDs and risk factors for different segments of the population (<xref ref-type="bibr" rid="B22">22</xref>). Without knowledge about NCDs and their risk factors, it is difficult to achieve a reduction in the incidence and prevalence of NCDs (<xref ref-type="bibr" rid="B36">36</xref>). As a result, determining the level of knowledge about NCDs emphasizes the significance of conducting regular surveillance for NCDs&#x00027; risk factors and initiating prevention programs (<xref ref-type="bibr" rid="B15">15</xref>).</p>
</sec>
<sec>
<title>Methodological Consideration</title>
<p>All questionnaires were translated to the local language (Afan Oromo) by two independent bilingual translators and back-translated to English to guarantee consistency. Then it was pre-tested on 5% of the total sample size in the district which was not selected for actual study to evaluate readability, understandability, completeness, and reliability, and modification was made accordingly. Data collectors and supervisors were trained on the objectives of the study, how to collect data, and ethics. Filled questionnaires were checked for completeness and consistency on daily basis. Overall activities of the study were supervised by the supervisors and regulated by the investigators. Despite these, being a cross-sectional study, made it impossible to draw causal inferences. Additionally, a self-report technique was used to assess the knowledge, which may have resulted in recall bias and social desirability bias.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>This study reveals a high magnitude of inadequate level of NCDs knowledge despite its foundational ability in tackling the burden of NCDs. As a result, broadening a wider and more comprehensive health promotion strategy for the prevention of double burden of NCDs would benefit the population. Additionally, special efforts are needed both at the practice and policy levels to target disadvantaged groups, such as low-income earners, those who do not receive information from health professionals, those who do not own a television, and those who are widowed/divorced, who were found to have less knowledge of NCDs. More research is needed to elucidate the factors that can lead to poor knowledge about NCDs.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Salale University Institution review board. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>All authors made a significant contribution to the work reported, in the conception, study design, execution, acquisition of data, analysis and interpretation, took part in drafting, critically reviewing the article, gave final approval of the version to be published, and agree to be accountable for all aspects of the work.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This research was funded by Salale University, Ethiopia under grant number SU/1270/21/2013.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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="s10">
<title>Publisher&#x00027;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>
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<glossary>
<def-list>
<title>Abbreviations</title>
<def-item><term>CVDS</term>
<def><p>cardiovascular diseases</p></def></def-item>
<def-item><term>LMICs</term>
<def><p>low- and middle-income Countries</p></def></def-item>
<def-item><term>NCDs</term>
<def><p>non-communicable diseases</p></def></def-item>
<def-item><term>WHO</term>
<def><p>world health organization.</p></def></def-item>
</def-list>
</glossary> 
</back>
</article> 