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<front>
<journal-meta>
<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.2023.1238348</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>Trends in bio-behavioural risk factors of non-communicable diseases among adults in Sao Tome and Principe</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Pengpid</surname>
<given-names>Supa</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1273747/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Peltzer</surname>
<given-names>Karl</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
<xref rid="aff5" ref-type="aff"><sup>5</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1315806/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Health Education and Behavioural Sciences, Faculty of Public Health, Mahidol University</institution>, <addr-line>Bangkok</addr-line>, <country>Thailand</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Public Health, Sefako Makgatho Health Sciences University</institution>, <addr-line>Pretoria</addr-line>, <country>South Africa</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Healthcare Administration, College of Medical and Health Science, Asia University</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Psychology, University of the Free State</institution>, <addr-line>Bloemfontein</addr-line>, <country>South Africa</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Psychology, College of Medical and Health Science, Asia University</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001"><p>Edited by: Anand Krishnan, All India Institute of Medical Sciences, India</p></fn>
<fn fn-type="edited-by" id="fn0002"><p>Reviewed by: Ahmed Mohammed Alwan, Mashhad University of Medical Sciences, Iran; Dimple Kondal, Centre for Chronic Disease Control, India; Sitanshu Sekhar Kar, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), India</p></fn>
<corresp id="c001">&#x002A;Correspondence: Karl Peltzer, <email>kfpeltzer@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>29</day>
<month>08</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1238348</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>06</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>17</day>
<month>08</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Pengpid and Peltzer.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Pengpid and Peltzer</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Background</title>
<p>Understanding national trends in risk factors of noncommunicable diseases (NCDs) may have health policy implications. The aim of the study was to assess the prevalence and social and demographic factors associated with risk factors of NCDs in adults from 2008 to 2019 in Sao Tome and Principe.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>In repeat cross-sectional national STEPS surveys 2,457 adults (median age 37&#x2009;years) in 2008 and 1,893 adults (median age 38&#x2009;years) in 2019 in Sao Tome and Principe responded to structured interviews, physical and biochemical measures. Logistic regressions were applied to estimate predictors of NCD risk factors.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>Having three to seven NCD risk factors significantly decreased among men but not women from 36.6% in 2008 to 26.8% in 2019. The proportion of specific risk factors of NCD increased significantly for low physical activity from 17.4% in 2008 to 30.9% in 2019, and overweight/obesity from 37.3% in 2008 to 51.0% in 2019. Insufficient fruit/vegetable consumption decreased from 83.1% in 2008 to 53.3% in 2019, frequent alcohol use from 32.6% in 2008 to 24.8% in 2019, and diabetes from 3.1% in 2008 to 1.2% in 2019, while the proportion of current tobacco use and hypertension remained unchanged from 2008 to 2019. Men engaged more often than women in current tobacco use and frequent alcohol use, and women had higher rates of low physical activity and overweight/obesity than men. Higher educational levels were positively associated with overweight/obesity, and inversely associated with frequent alcohol use and inadequate fruit/vegetable intake.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>Between 2008 and 2019, the prevalence of seven risk factors for NCDs in Sao Tome and Principe declined among men, but not among women. Several associated variables have been identified for each individual risk factor of NCD that may help guide interventions.</p>
</sec>
</abstract>
<kwd-group>
<kwd>noncommunicable disease</kwd>
<kwd>risk factors</kwd>
<kwd>trends</kwd>
<kwd>Sao Tome and Principe</kwd>
<kwd>STEPS survey</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="36"/>
<page-count count="8"/>
<word-count count="5055"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Life-Course Epidemiology and Social Inequalities in Health</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<title>Introduction</title>
<p>Most deaths from non-communicable diseases (NCDs) occur in lower resourced countries (&#x003E;85%) (<xref ref-type="bibr" rid="ref1">1</xref>). In the lower-middle-income island of Central Africa, Sao Tome and Principe, 55% of people died from NCDs in 2016 (<xref ref-type="bibr" rid="ref2">2</xref>). Cardiovascular disease, diabetes, cancer, and respiratory disease, account for more than 80% of NCD premature deaths (<xref ref-type="bibr" rid="ref1">1</xref>). In the general population of Sao Tome and Principe, 20% had high blood pressure and 6% hypoglycaemia (<xref ref-type="bibr" rid="ref2">2</xref>). The ill-healthy diet, tobacco, alcohol consumption and low physical activity increase the risk of death from NCDs (<xref ref-type="bibr" rid="ref1">1</xref>). In Sao Tome and Principe, 7% of adults engaged in harmful alcohol use and 15% were physically inactive (<xref ref-type="bibr" rid="ref2">2</xref>). Among recent mothers in Sao Tome and Principe, more than 30% were overweight or obese (<xref ref-type="bibr" rid="ref3">3</xref>). As the number of NCDs grows rapidly in the sub-Saharan region of Africa, including in Sao Tome and Principe (<xref ref-type="bibr" rid="ref4">4</xref>), due to multiple factors, such as the adoption of an unhealthy lifestyle, and the increase in the average life expectancy of the population (<xref ref-type="bibr" rid="ref4">4</xref>), it is important to understand the local factors affecting NCDs to monitor changes in burden, measure the progress of the NCD programme, and plan new activities (<xref ref-type="bibr" rid="ref5">5</xref>). In this regard, data from national communities on single and multiple risk factors for NCDs among adults in Sao Tome and Principe are needed in planning health programmes.</p>
<p>In another island country in Africa in Comoros, among adults (25&#x2013;64&#x2009;years) the prevalence of diabetes was 8.5% (<xref ref-type="bibr" rid="ref6">6</xref>), and overweight and obesity was 28.6 and 22.2%, respectively (<xref ref-type="bibr" rid="ref7">7</xref>). In other African countries, for example, in Malawi, 16.5% had 3&#x2013;7 risk factors of NCD (ranging from 5.6% raised blood glucose to 32.9% raised blood pressure) (<xref ref-type="bibr" rid="ref8">8</xref>), and in Zambia, 26.7% had 3&#x2013;10 risk factors of NCD (ranging from 6.2% diabetes to 90.4% insufficient fruit and vegetable intake&#x2009;=&#x2009;IFVI) (<xref ref-type="bibr" rid="ref9">9</xref>).</p>
<p>Social and demographic factors associated with NCD risk factors include older age (<xref ref-type="bibr" rid="ref10 ref11 ref12 ref13">10&#x2013;13</xref>), male sex (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref14">14</xref>), educational level (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref14">14</xref>), and residing in urban areas (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref14">14</xref>). The aim of the investigation was to estimate the prevalence and sociodemographic factors associated with seven risk factors of NCDs in adults from 2008 to 2019 in Sao Tome and Principe.</p>
</sec>
<sec sec-type="methods" id="sec6">
<title>Methods</title>
<p>Secondary data from two cross-sectional STEPS surveys conducted in 2008 and 2019 in Sao Tome and Principe were analyzed, with a total response rate of 95.5% in 2008 and 91.5 percent in 2019 (<xref ref-type="bibr" rid="ref15">15</xref>). Multi-step stratified sampling was conducted to select one person at random of the target age (25&#x2013;64&#x2009;years in 2008, and 18&#x2013;69&#x2009;years in 2019; the 2019 survey was restricted to 25&#x2013;64&#x2009;years for this analysis) per household (<xref ref-type="bibr" rid="ref15">15</xref>).</p>
<p>SaoTome and Principe has a population of 228,000 in 2022 (<xref ref-type="bibr" rid="ref16">16</xref>), a literacy rate of 92.8%, an urbanization rate of 76.4% (<xref ref-type="bibr" rid="ref17">17</xref>), a gross domestic product (GDP) <italic>per capita</italic> in 2019 of $ 1961; the life expectancy (at birth) increased from 63.5&#x2009;years in 2000 to 70.4&#x2009;years in 2019 (<xref ref-type="bibr" rid="ref18">18</xref>). The NCD programme in Sao Tome and Principe includes implementing the NCD programme and promotion of healthy lifestyles (<xref ref-type="bibr" rid="ref19">19</xref>). Regarding integration of the NCD programme into primary health care (PHC) in Sao Tome and Principe, partial implementation includes having NCD guidelines, generally available medicine, generally available technologies, and drug therapy at PHC, and not implemented a national list of essential medicines and technology (<xref ref-type="bibr" rid="ref20">20</xref>), and adhering to the WHO Package of Essential NCDs (PEN) interventions (<xref ref-type="bibr" rid="ref21">21</xref>). Acccording to the WHO NCD monitor (<xref ref-type="bibr" rid="ref22">22</xref>), there is poor implementation of NCD reduction measures, including unhealthy diet, tobacco demand and harmful use of alcohol, and public education and awareness campaigns on physical activity.</p>
<p>Study approval was provide by the Ministry of Health Ethical Committee, Sao Tome and Principe, and participants gave written informed consent (<xref ref-type="bibr" rid="ref15">15</xref>). The data collection followed the WHO&#x2019;s three STEPS methodology: the first step included the administration of questionnaires (social epidemiology, medical history, use of medicines and health risk behaviour); the second step involved body weight, height and blood pressure measurements; and the third step included biochemical tests (glucose and blood lipids) (<xref ref-type="bibr" rid="ref23">23</xref>).</p>
<sec id="sec7">
<title>Assessments</title>
<p><italic>Risk factors for NCDs</italic> were included on the basis of previous research (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref24">24</xref>), as follows: <italic>Behavioural risk factors of NCD</italic> included current tobacco use, frequent alcohol use (&#x2265;5&#x2009;days/week) (<xref ref-type="bibr" rid="ref15">15</xref>), low physical activity defined by the &#x201C;Global Physical Activity Questionnaire&#x201D; (<xref ref-type="bibr" rid="ref25">25</xref>), and IFVI (&#x003C;5 servings/day); <italic>Biological risk factors for NCD:</italic> Diabetes: fasting plasma glucose &#x2265;7.0&#x2009;mmol/L, and/or presently medication for diabetes (<xref ref-type="bibr" rid="ref26">26</xref>); Hypertension: measured blood pressure (BP) (average of two of last three measurements) defined as &#x201C;systolic BP &#x2265;140&#x2009;mm Hg and/or diastolic BP &#x2265;90&#x2009;mm Hg&#x201D; or presently on medication for hypertension (<xref ref-type="bibr" rid="ref27">27</xref>); measured body mass index (overweight: 25.0&#x2013;29.9&#x2009;kg/m<sup>2</sup> and obesity: &#x2265;30.0&#x2009;kg/m<sup>2</sup>) (<xref ref-type="bibr" rid="ref26">26</xref>).</p>
<p><italic>Social and demographic information</italic> consisted of sex, age, education, adult members in household and interview language (<xref ref-type="bibr" rid="ref15">15</xref>).</p>
</sec>
<sec id="sec8">
<title>Statistical analysis</title>
<p>The proportion of NCD risk factors was grouped on the basis of previous studies (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref24">24</xref>), 3&#x2013;7 NCD risk factors (compared to 0&#x2013;2 risk factors). Chi-square tests were used to estimate differences in proportions. Logistic regressions were used to assess predictors of each of the seven NCD risk factors, adjusted by study year, proportion of adult members, education, sex, age, and interview language. Missing values (IFVI&#x2009;=&#x2009;5.3%, low physical activity&#x2009;=&#x2009;1.5%, current tobacco use&#x2009;=&#x2009;0.1%, frequent alcohol use&#x2009;=&#x2009;0%, overweight/obesity&#x2009;=&#x2009;2.1%, hypertension&#x2009;=&#x2009;2.0%, and diabetes&#x2009;=&#x2009;7.1%) were discarded and <italic>p</italic> &#x003C;&#x2009;0.05 indicated significance. Statistical analyses were done with STATA software version 15.0 accounting for sample weighting and complex study design. The analysis weight was calculated by taking the reverse probability of each participant&#x2019;s selection. These weights were adjusted to accommodate differences in the age-sex composition of the sample population compared to the target population. Different weight variables were calculated for (1) for interview data, (2) for physical measures, and (3) for biochemical measures (<xref ref-type="bibr" rid="ref15">15</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="sec9">
<title>Results</title>
<sec id="sec10">
<title>Sample characteristics</title>
<p>The sample included 2,457 adults, with a median age 37&#x2009;years (IQR&#x2009;=&#x2009;29&#x2013;47) in 2008 and 1893 adults median age 38&#x2009;years (IQR 32&#x2013;48) in 2019. The proportion of younger adults increased, and higher education and number of adult household members decreased from 2008 to 2019 (see <xref rid="tab1" ref-type="table">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Sociodemographic characteristics of individuals 25 to 64&#x2009;years and older in Sao Tome and Principe 2008 and 2019.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top" colspan="2">Study year</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
<tr>
<th/>
<th align="center" valign="top">2008</th>
<th align="center" valign="top">2019</th>
<th/>
</tr>
<tr>
<th/>
<th align="center" valign="top"><italic>N</italic> =&#x2009;2,457</th>
<th align="center" valign="top"><italic>N</italic> =&#x2009;1893</th>
<th/>
</tr>
<tr>
<th/>
<th align="center" valign="top"><italic>N</italic> (%)</th>
<th align="center" valign="top"><italic>N</italic> (%)</th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="4">Age (years)</td>
</tr>
<tr>
<td align="left" valign="top">25&#x2013;34</td>
<td align="char" valign="top" char="(">976 (39.7)</td>
<td align="char" valign="top" char="(">614 (32.4)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">35&#x2013;44</td>
<td align="char" valign="top" char="(">731 (29.8)</td>
<td align="char" valign="top" char="(">671 (35.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">45&#x2013;64</td>
<td align="char" valign="top" char="(">750 (30.5)</td>
<td align="char" valign="top" char="(">608 (32.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" char="." colspan="4">Gender</td>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="char" valign="top" char="(">1,407 (57.3)</td>
<td align="char" valign="top" char="(">1,139 (60.2)</td>
<td align="char" valign="top" char=".">0.054</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="char" valign="top" char="(">1,050 (42.7)</td>
<td align="char" valign="top" char="(">754 (39.8)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" char="." colspan="4">Education</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;primary</td>
<td align="char" valign="top" char="(">529 (21.6)</td>
<td align="char" valign="top" char="(">548 (28.9)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">primary</td>
<td align="char" valign="top" char="(">889 (36.3)</td>
<td align="char" valign="top" char="(">1,003 (53.0)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x003E;primary</td>
<td align="char" valign="top" char="(">1,028 (42.0)</td>
<td align="char" valign="top" char="(">342 (18.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" char="." colspan="4">Adults household members</td>
</tr>
<tr>
<td align="left" valign="top">1</td>
<td align="char" valign="top" char="(">465 (19.0)</td>
<td align="char" valign="top" char="(">757 (40.0)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">2</td>
<td align="char" valign="top" char="(">1898 (52.9)</td>
<td align="char" valign="top" char="(">879 (46.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x2265;3</td>
<td align="char" valign="top" char="(">689 (28.1)</td>
<td align="char" valign="top" char="(">257 (13.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" char="." colspan="4">Interview language</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="char" valign="top" char="(">125 (5.1)</td>
<td align="char" valign="top" char="(">74 (3.9)</td>
<td align="char" valign="top" char=".">0.482</td>
</tr>
<tr>
<td align="left" valign="top">Portuguese</td>
<td align="char" valign="top" char="(">2,332 (94.9)</td>
<td align="char" valign="top" char="(">1819 (96.1)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Unweighted percent.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec11">
<title>Distribution of NCD risk factors from 2008 to 2019</title>
<p>The proportion of specific risk factors of NCD risk factors increased significantly for low physical activity from 17.4% in 2008 to 30.9% in 2019, and overweight/obesity from 37.3% in 2008 to 51.0% in 2019. There was a significant decrease in IFVI from 83.1% in 2008 to 53.3% in 2019, frequent alcohol use from 32.6% in 2008 to 24.8% in 2019, and diabetes from 3.1% in 2008 to 1.2% in 2019, while the prevalence of current tobacco use and hypertension remained unchanged from 2008 to 2019. Among men but not among women, current tobacco use and frequent alcohol use significantly decreased from 2008 to 2019, while among women but not among men diabetes significantly decreased. The overweight/obesity prevalence only increased significantly among women (from 43.3 to 58.1%) but not among men. Having 3&#x2013;7 NCD risk factors decreased from 36.6% in 2008 to 31.7% in 2019, but this was only significant for men and not for women and overall (see <xref rid="tab2" ref-type="table">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Prevalence of risk factors for non-communicable diseases (NCDs) among adults in Sao Tome and Principe 2008 and 2019.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">NCD risk factors</th>
<th align="center" valign="top">2008</th>
<th align="center" valign="top">2019</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
<tr>
<th/>
<th align="center" valign="top">N (% 95 CI)</th>
<th align="center" valign="top">N (% 95 CI)</th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">All</td>
<td align="center" valign="top">2,457</td>
<td align="center" valign="top">1893</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Fruit/vegetable intake (&#x003C;5 servings/day)</td>
<td align="char" valign="top" char="(">1936 (83.1, 81.5&#x2013;84.7)</td>
<td align="char" valign="top" char="(">928 (53.3, 46.2&#x2013;60.2)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Low physical activity</td>
<td align="char" valign="top" char="(">427 (17.4, 15.4&#x2013;19.5)</td>
<td align="char" valign="top" char="(">539 (30.9, 26.2&#x2013;36.0)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Current tobacco use</td>
<td align="char" valign="top" char="(">205 (9.0, 8.0&#x2013;10.1)</td>
<td align="char" valign="top" char="(">189 (8.8, 7.5&#x2013;10.4)</td>
<td align="char" valign="top" char=".">0.860</td>
</tr>
<tr>
<td align="left" valign="top">Frequent alcohol use</td>
<td align="char" valign="top" char="(">781 (32.6, 30.1&#x2013;35.3)</td>
<td align="char" valign="top" char="(">533 (24.8, 21.8&#x2013;28.1)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">General overweight/obesity</td>
<td align="char" valign="top" char="(">929 (37.3, 32.1&#x2013;42.8)</td>
<td align="char" valign="top" char="(">891 (51.0, 48.3&#x2013;53.8)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Hypertension</td>
<td align="char" valign="top" char="(">825 (35.0, 31.8&#x2013;38.4)</td>
<td align="char" valign="top" char="(">618 (33.5, 30.7&#x2013;36.3)</td>
<td align="char" valign="top" char=".">0.465</td>
</tr>
<tr>
<td align="left" valign="top">Diabetes</td>
<td align="char" valign="top" char="(">76 (3.1, 2.4&#x2013;3.9)</td>
<td align="char" valign="top" char="(">21 (1.2, 0.8&#x2013;2.0)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">3&#x2013;7 NCD risk factors</td>
<td align="char" valign="top" char="(">753 (36.3, 31.4&#x2013;41.5)</td>
<td align="char" valign="top" char="(">452 (31.7, 27.8&#x2013;35.9)</td>
<td align="char" valign="top" char=".">0.157</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">1,050</td>
<td align="center" valign="top">754</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Fruit/vegetable intake (&#x003C;5 servings/day)</td>
<td align="char" valign="top" char="(">819 (83.3, 81.6&#x2013;84.8)</td>
<td align="char" valign="top" char="(">370 (52.5, 44.3&#x2013;60.5)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Low physical activity</td>
<td align="char" valign="top" char="(">100 (10.0, 6.6&#x2013;15.0)</td>
<td align="char" valign="top" char="(">167 (24.0, 19.4&#x2013;29.3)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Current tobacco use</td>
<td align="char" valign="top" char="(">144 (14.0, 12.5&#x2013;15.9)</td>
<td align="char" valign="top" char="(">131 (18.0, 15.2&#x2013;21.3)</td>
<td align="char" valign="top" char=".">0.024</td>
</tr>
<tr>
<td align="left" valign="top">Frequent alcohol use</td>
<td align="char" valign="top" char="(">449 (42.6, 38.7&#x2013;46.7)</td>
<td align="char" valign="top" char="(">264 (32.2, 28.0&#x2013;36.8)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">General overweight/obesity</td>
<td align="char" valign="top" char="(">317 (30.6, 24.8&#x2013;37.0)</td>
<td align="char" valign="top" char="(">281 (35.4, 31.3&#x2013;39.8)</td>
<td align="char" valign="top" char=".">0.209</td>
</tr>
<tr>
<td align="left" valign="top">Hypertension</td>
<td align="char" valign="top" char="(">354 (36.1, 32.6&#x2013;39.8)</td>
<td align="char" valign="top" char="(">226 (31.4, 27.0&#x2013;36.2)</td>
<td align="char" valign="top" char=".">0.121</td>
</tr>
<tr>
<td align="left" valign="top">Diabetes</td>
<td align="char" valign="top" char="(">25 (2.5, 2.0&#x2013;3.1)</td>
<td align="char" valign="top" char="(">10 (1.5, 0.7&#x2013;3.4)</td>
<td align="char" valign="top" char=".">0.252</td>
</tr>
<tr>
<td align="left" valign="top">3&#x2013;7 NCD risk factors</td>
<td align="char" valign="top" char="(">330 (36.6, 29.8&#x2013;43.9)</td>
<td align="char" valign="top" char="(">161 (26.8, 21.9&#x2013;32.2)</td>
<td align="char" valign="top" char=".">0.026</td>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">1,407</td>
<td align="center" valign="top">1,139</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Fruit/vegetable intake (&#x003C;5 servings/day)</td>
<td align="char" valign="top" char="(">1,117 (83.0, 80.7&#x2013;85.0)</td>
<td align="char" valign="top" char="(">558 (53.6, 46.2&#x2013;60.9)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Low physical activity</td>
<td align="char" valign="top" char="(">327 (23.9, 22.5&#x2013;25.2)</td>
<td align="char" valign="top" char="(">372 (33.9, 28.6&#x2013;39.5)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Current tobacco use</td>
<td align="char" valign="top" char="(">61 (4.4, 3.0&#x2013;6.4)</td>
<td align="char" valign="top" char="(">58 (4.9, 3.5&#x2013;6.8)</td>
<td align="char" valign="top" char=".">0.721</td>
</tr>
<tr>
<td align="left" valign="top">Frequent alcohol use</td>
<td align="char" valign="top" char="(">232 (23.6, 21.0&#x2013;26.4)</td>
<td align="char" valign="top" char="(">269 (21.6, 18.2&#x2013;25.4)</td>
<td align="char" valign="top" char=".">0.342</td>
</tr>
<tr>
<td align="left" valign="top">General overweight/obesity</td>
<td align="char" valign="top" char="(">612 (43.3, 38.4&#x2013;48.4)</td>
<td align="char" valign="top" char="(">610 (58.1, 54.4&#x2013;61.6)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Hypertension</td>
<td align="char" valign="top" char="(">471 (34.1, 30.1&#x2013;38.2)</td>
<td align="char" valign="top" char="(">392 (34.3, 30.9&#x2013;37.9)</td>
<td align="char" valign="top" char=".">0.922</td>
</tr>
<tr>
<td align="left" valign="top">Diabetes</td>
<td align="char" valign="top" char="(">51 (3.6, 2.7&#x2013;4.8)</td>
<td align="char" valign="top" char="(">11 (1.1, 0.6&#x2013;2.1)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">3&#x2013;7 NCD risk factors</td>
<td align="char" valign="top" char="(">465 (36.1, 32.6&#x2013;39.6)</td>
<td align="char" valign="top" char="(">291 (33.7, 29.0&#x2013;38.8)</td>
<td align="char" valign="top" char=".">0.445</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>CI, confidence interval.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec12">
<title>Social and demographic associations with individual behavioural risk factors for NCDs</title>
<p>Compared to participants in the 2008 study, participants in the 2019 study had a significantly higher prevalence of low physical activity, significantly lower IFVI and fewer frequent alcohol consumption. Older groups were more likely to use tobacco at present, and middle-aged participants were more likely to consume alcohol frequently. Men engaged more often than women in current tobacco use and frequent alcohol use, and women had higher rates of low physical activity and than men. Higher educational levels were negatively associated with IFVI, and frequent alcohol use. Having two or three or more adult household members (lower economic status) was negatively associated with low physical activity and IFVI. Portuguese interview language increased the odds of frequent alcohol use, low physical activity and IFVI (see <xref rid="tab3" ref-type="table">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Determinants of behavioural non-communicable disease risk factors in Sao Tome and Principe 2008 and 2019.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">Inadequate fruit/vegetable intake</th>
<th align="center" valign="top">Low physical activity</th>
<th align="center" valign="top">Current tobacco use</th>
<th align="center" valign="top">Frequent alcohol use</th>
</tr>
<tr>
<th/>
<th align="center" valign="top">AOR (95% CI)</th>
<th align="center" valign="top">AOR (95% CI)</th>
<th align="center" valign="top">AOR (95% CI)</th>
<th align="center" valign="top">AOR (95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="5">Study year</td>
</tr>
<tr>
<td align="left" valign="top">2008</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
</tr>
<tr>
<td align="left" valign="top">2019</td>
<td align="char" valign="top" char="(">0.17 (0.12 to 0.24)&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="top" char="(">1.82 (1.46 to 2.28)&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="top" char="(">1.15 (0.86 to 1.54)</td>
<td align="char" valign="top" char="(">0.53 (0.41 to 0.68)&#x002A;&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="5">Age (years)</td>
</tr>
<tr>
<td align="left" valign="top">25&#x2013;34</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
</tr>
<tr>
<td align="left" valign="top">35&#x2013;44</td>
<td align="char" valign="top" char="(">0.90 (0.68 to 1.18)</td>
<td align="char" valign="top" char="(">0.95 (0.69 to 1.31)</td>
<td align="char" valign="top" char="(">1.19 (0.70 to 2.03)</td>
<td align="char" valign="top" char="(">1.39 (1.08 to 1.81)&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">45&#x2013;64</td>
<td align="char" valign="top" char="(">1.09 (0.78 to 1.50)</td>
<td align="char" valign="top" char="(">1.17 (0.89 to 1.55)</td>
<td align="char" valign="top" char="(">1.84 (1.08 to 3.12)&#x002A;</td>
<td align="char" valign="top" char="(">1.05 (0.77 to 1.43)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="5">Gender</td>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="char" valign="top" char="(">1.02 (0.79 to 1.33)</td>
<td align="char" valign="top" char="(">0.59 (0.47 to 0.75)&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="top" char="(">4.67 (2.99 to 7.29)&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="top" char="(">1.95 (1.52 to 2.49)&#x002A;&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="5">Education</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;primary</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
</tr>
<tr>
<td align="left" valign="top">primary</td>
<td align="char" valign="top" char="(">0.88 (0.64 to 1.21)</td>
<td align="char" valign="top" char="(">0.92 (0.66 to 1.28)</td>
<td align="char" valign="top" char="(">0.78 (0.51 to 1.17)</td>
<td align="char" valign="top" char="(">0.66 (0.48 to 0.89)&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">&#x003E;primary</td>
<td align="char" valign="top" char="(">0.53 (0.33 to 0.84)&#x002A;&#x002A;</td>
<td align="char" valign="top" char="(">1.36 (0.91 to 2.01)</td>
<td align="char" valign="top" char="(">0.65 (0.34 to 1.25)</td>
<td align="char" valign="top" char="(">0.30 (0.19 to 0.46)&#x002A;&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="5">Adult members</td>
</tr>
<tr>
<td align="left" valign="top">1</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
</tr>
<tr>
<td align="left" valign="top">2</td>
<td align="char" valign="top" char="(">0.70 (0.54 to 0.91)&#x002A;&#x002A;</td>
<td align="char" valign="top" char="(">0.76 (0.58 to 0.99)&#x002A;</td>
<td align="char" valign="top" char="(">0.78 (0.53 to 1.15)</td>
<td align="char" valign="top" char="(">0.85 (0.65 to 1.12)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;3</td>
<td align="char" valign="top" char="(">0.71 (0.49 to 1.05)</td>
<td align="char" valign="top" char="(">0.51 (0.32 to 0.79)&#x002A;&#x002A;</td>
<td align="char" valign="top" char="(">0.91 (0.50 to 1.66)</td>
<td align="char" valign="top" char="(">0.65 (0.42 to 1.01)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="5">Interview language</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
</tr>
<tr>
<td align="left" valign="top">Portuguese</td>
<td align="char" valign="top" char="(">4.56 (2.31 to 8.99)&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="top" char="(">4.32 (1.43 to 13.04)&#x002A;</td>
<td align="char" valign="top" char="(">3.29 (0.63 to 17.05)</td>
<td align="char" valign="top" char="(">2.57 (1.15 to 5.72)&#x002A;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>AOR, adjusted odds ratio; &#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05, &#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01, &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec13">
<title>Sociodemographic determinants of individual biological NCD risk factors</title>
<p>Compared to 2008 participants, 2019 participants had a significantly higher prevalence of overweight/obesity and a lower prevalence of diabetes. Age was positively associated with obesity/obesity, hypertension and diabetes. Women had a higher rate of overweight/obesity than men. Higher educational levels and Portuguese interview language were associated with overweight/obesity. The number of adult households did not affect the prevalence of three biological risk factors for NCDs (see <xref rid="tab4" ref-type="table">Table 4</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Asociations with biological non-communicable disease risk factors in Sao Tome and Principe 2008 and 2019.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">General overweight/obesity</th>
<th align="center" valign="top">Hypertension</th>
<th align="center" valign="top">Diabetes</th>
</tr>
<tr>
<th/>
<th align="center" valign="top">AOR (95% CI)</th>
<th align="center" valign="top">AOR (95% CI)</th>
<th align="center" valign="top">AOR (95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="4">Study year</td>
</tr>
<tr>
<td align="left" valign="top">2008</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
</tr>
<tr>
<td align="left" valign="top">2019</td>
<td align="char" valign="top" char="(">1.86 (1.44 to 2.39)&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="top" char="(">0.87 (0.64 to 1.18)</td>
<td align="char" valign="top" char="(">0.42 (0.20 to 0.89)&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Age (years)</td>
</tr>
<tr>
<td align="left" valign="top">25&#x2013;34</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
</tr>
<tr>
<td align="left" valign="top">35&#x2013;44</td>
<td align="char" valign="top" char="(">1.99 (1.53 to 2.60)&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="top" char="(">2.24 (1.67 to 3.00)&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="top" char="(">4.21 (1.13 to 15.63)&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">45&#x2013;64</td>
<td align="char" valign="top" char="(">1.87 (1.47 to 2.38)&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="top" char="(">5.12 (3.75 to 7.01)&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="top" char="(">14.46 (2.80 to 74.61)&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Gender</td>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="char" valign="top" char="(">0.34 (0.27 to 0.43)&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="top" char="(">0.91 (0.69 to 1.20)</td>
<td align="char" valign="top" char="(">1.29 (0.46 to 3.59)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Education</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;primary</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
</tr>
<tr>
<td align="left" valign="top">primary</td>
<td align="char" valign="top" char="(">1.28 (1.00 to 1.64)</td>
<td align="char" valign="top" char="(">0.81 (0.62 to 1.05)</td>
<td align="char" valign="top" char="(">1.18 (0.37 to 3.82)</td>
</tr>
<tr>
<td align="left" valign="top">&#x003E;primary</td>
<td align="char" valign="top" char="(">2.32 (1.62 to 3.33)&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="top" char="(">0.77 (0.51 to 1.16)</td>
<td align="char" valign="top" char="(">2.18 (0.48 to 10.04)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Adults household members</td>
</tr>
<tr>
<td align="left" valign="top">1</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
</tr>
<tr>
<td align="left" valign="top">2</td>
<td align="char" valign="top" char="(">1.24 (0.97 to 1.57)</td>
<td align="char" valign="top" char="(">0.97 (0.71 to 1.33)</td>
<td align="char" valign="top" char="(">0.75 (0.26 to 2.19)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;3</td>
<td align="char" valign="top" char="(">1.15 (0.78 to 1.71)</td>
<td align="char" valign="top" char="(">0.83 (0.57 to 1.21)</td>
<td align="char" valign="top" char="(">0.42 (0.08 to 2.21)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Interview language</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
<td align="char" valign="top" char="(">1 (Reference)</td>
</tr>
<tr>
<td align="left" valign="top">Portuguese</td>
<td align="char" valign="top" char="(">2.43 (1.48 to 4.00)&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="top" char="(">1.58 (0.87 to 2.86)</td>
<td align="char" valign="top" char="(">0.91 (0.11 to 7.68)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>AOR, adjusted odds ratio; &#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05, &#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01, &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussions" id="sec14">
<title>Discussion</title>
<p>The study showed that having 3&#x2013;7 NCD risk factors among male but not female adults significantly decreased from 36.6% in 2008 to 26.8% in 2019 in Sao Tome and Principe. Some of this reduction may be attributed to strengthened implementation of NCD programme in Sao Tome and Principe (<xref ref-type="bibr" rid="ref19">19</xref>). Having overweight/obesity and low physical activity significantly increased, and IFVI, frequent alcohol use, and diabetes significantly decreased from 2008 to 2019, while the prevalence of current tobacco use and hypertension remained unchanged from 2008 to 2019. According to the Global Nutrition Report (<xref ref-type="bibr" rid="ref28">28</xref>), Sao Tome and Principe did not achieve their diet NCD targets, with still having high rates of obesity (19.7% in women and 8.9% in men). Similar to previous trend studies in India (<xref ref-type="bibr" rid="ref29">29</xref>), Mongolia (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref31">31</xref>) and Iran (<xref ref-type="bibr" rid="ref32">32</xref>) having high body mass index and/or low physical activity increased over time. Although Sao Tome has implemented some national food and NCD policies, such as sugar-sweetened beverage tax and operational policy, strategy, or action plan to reduce unhealthy diet related to NCDs, additional implementation of some of the following are indicated food-based dietary guidelines, policy to eliminate industrially produced trans fatty acids, policy to reduce the impact of marketing of foods and beverages high in saturated fats, trans fatty acids, free sugars, or salt on children, and policy to limit saturated fatty acid intake (<xref ref-type="bibr" rid="ref28">28</xref>). Regarding physical inactivity, the implementation of some of the following may help in increasing physical activity, including national physical activity communications campaigns, national mass participation events on physical activity, promotion of physical activity in different settings, brief intervention on physical activity in primary health care, quality physical education and national guidelines on physical activity in different age groups (<xref ref-type="bibr" rid="ref16">16</xref>).</p>
<p>In this survey the prevalence of diabetes reduced over time, whereas in India (<xref ref-type="bibr" rid="ref29">29</xref>), South Kivu, Democratic Republic of Congo (<xref ref-type="bibr" rid="ref33">33</xref>), and Mozambique (<xref ref-type="bibr" rid="ref34">34</xref>), the prevalence of diabetes increased over time. The unchanged current tobacco use in Sao Tome and Principe may be attributed to reduced compliance with the MPOWER tobacco control strategy, e.g., cigarettes have not become less affordable, no smokefree laws in public places, no tollfree telephone quit line, no smoking cessation support available in the community and health care setting, and no anti-tobacco mass media campaigns (<xref ref-type="bibr" rid="ref35">35</xref>).</p>
<p>Furthermore, frequent alcohol use was significantly reduced from 2008 to 2019 in this study, while the recorded alcohol <italic>per capita</italic> (15+) consumption also reduced from 8.3 in litres of pure alcohol in both sexes in 2010 to 6.8 in 2016 (<xref ref-type="bibr" rid="ref36">36</xref>). Compared to other African countries, having 3&#x2013;7 risk factors for NCDs in this study (36.3% in 2008 and 31.7% in 2019) was higher than in Malawi (3&#x2013;7 risk factors, 16.5%) (<xref ref-type="bibr" rid="ref8">8</xref>) and Zambia (26.7%, 3&#x2013;10 risk factors) (<xref ref-type="bibr" rid="ref9">9</xref>). The prevalence of overweight/obesity in 2019 (51.0%) and the prevalence of diabetes (1.2%) in 2019 was similar or lower than in another island country in Africa in Comoros (50.8% overweight/obesity and 8.5% diabetes) (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>), but in terms of overweight/obesity higher than in Malawi (26.5%) (<xref ref-type="bibr" rid="ref8">8</xref>) and Zambia (24.4%) (<xref ref-type="bibr" rid="ref9">9</xref>). The prevalence of hypertension (33.5% in 2019) was similar to Malawi (32.9%) (<xref ref-type="bibr" rid="ref8">8</xref>) but higher than in Zambia (18.9%) (<xref ref-type="bibr" rid="ref9">9</xref>), the prevalence of current tobacco use (8.8% in 2019) was lower than in Malawi (14.1% current smokers) (<xref ref-type="bibr" rid="ref8">8</xref>), and in Zambia (10.7% daily tobacco use) (<xref ref-type="bibr" rid="ref9">9</xref>), and the rate of IFVI (53.3% in 2019) was lower than in Zambia (90.4%) (<xref ref-type="bibr" rid="ref9">9</xref>).</p>
<p>There was a male preponderance of current tobacco use and frequent alcohol use and a female preponderance of general overweight/obesity and low physical activity, and there were no sex differences in hypertension, diabetes and IFVI. In previous studies (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref24">24</xref>), the prevalence of substance use in men was higher than in women, and the rate of obesity/obesity in women was higher than in men. As expected (<xref ref-type="bibr" rid="ref10 ref11 ref12 ref13">10&#x2013;13</xref>), older age increased the odds of overweight/obesity, hypertension, diabetes, and current tobacco use and middle age was associated with frequent alcohol use. Lower education was associated with IFVI as well as with frequent use of alcohol and inversely associated with overweight/obesity. Portuguese interview language increased the odds of IFVI, low physical activity, frequent alcohol use and overweight/obesity. These findings show that the seven specific risk factors for NCDs can be targeted differently according to gender, age, level of education and interview language.</p>
<p>Comprehensive interventions can be directed to promote the control of body weight, the cessation of smoking, healthy diet, and the examination and control of high levels of sugar and blood pressure.</p>
<sec id="sec15">
<title>Study strength and limitations</title>
<p>The STEPS surveys in Sao Tome and Principe utilized nationally representative data and standardised assessment tools. The two surveys conducted were cross-sectional, thus hindering causative conclusions. Some variables, such as substance use, were assessed by self-report, which may have biased responses. The Sao Tome and Principe 2008 STEPS survey did not measure heavy drinking, other alcohol measures, household income and residence status, which could therefore not be included in the analysis. The total cholesterol variable was excluded from the analysis because of implausible values in 2019 (77.8% had elevated total cholesterol).</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec16">
<title>Conclusion</title>
<p>Based on two national household surveys in adults from 2008 to 2019 in Sao Tome and Principe, we found that the prevalence of seven risk factors of NCD decreased among men but not women from 2008 to 2019. Overweight/obesity, and low physical activity increased, and IFVI, frequent alcohol use, and diabetes decreased, and hypertension and current tobacco use stayed the same. Several factors associated with the risk factors of NCD have been identified, including age, gender, level of education and interview language that can guide interventions.</p>
</sec>
<sec sec-type="data-availability" id="sec17">
<title>Data availability statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found here: World Health Organization NCD Microdata Repository at <ext-link xlink:href="https://extranet.who.int/ncdsmicrodata/index.php/catalog/893" ext-link-type="uri">https://extranet.who.int/ncdsmicrodata/index.php/catalog/893</ext-link>.</p>
</sec>
<sec id="sec18">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Ministry of Health Ethical Committee, Sao Tome and Principe. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="sec19">
<title>Author contributions</title>
<p>SP and KP fulfil the criteria for authorship, conceived and designed the research, performed statistical analysis, drafted the manuscript, and made critical revisions of the manuscript for key intellectual content. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="COI-statement" id="sec20">
<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 id="sec100" sec-type="disclaimer">
<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>This paper uses data from the Sao Tome and Principe 2008 and 2019 STEPS survey, implemented by the Ministry of Health with the support of the World Health Organization.</p>
</ack>
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