<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJEpi</journal-id><journal-title-group><journal-title>Open Journal of Epidemiology</journal-title></journal-title-group><issn pub-type="epub">2165-7459</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojepi.2024.141011</article-id><article-id pub-id-type="publisher-id">OJEpi-131324</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Arterial Hypertension-Related Factors within Custodial Settings of Southern Benin in 2023
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mongbo</surname><given-names>Virginie</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kpozehouen</surname><given-names>Alphonse</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Achille</surname><given-names>Kpétékousso</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Ministry of the Interior of Benin, Cotonou, Benin</addr-line></aff><aff id="aff2"><addr-line>Epidemiology and Biostatistics Department, Regional Institute of Public Health; University of Abomey-Calavi, Abomey-Calavi, Benin</addr-line></aff><aff id="aff1"><addr-line>Department of Health Policies and Systems, Regional Institute of Public Health; University of Abomey-Calavi, Abomey-Calavi, Benin</addr-line></aff><pub-date pub-type="epub"><day>26</day><month>12</month><year>2023</year></pub-date><volume>14</volume><issue>01</issue><fpage>157</fpage><lpage>166</lpage><history><date date-type="received"><day>20,</day>	<month>January</month>	<year>2024</year></date><date date-type="rev-recd"><day>23,</day>	<month>February</month>	<year>2024</year>	</date><date date-type="accepted"><day>26,</day>	<month>February</month>	<year>2024</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Introduction: Hypertension, a non-communicable disease, is a major public health threat worldwide, accounting for a high level of morbidity and mortality. Although it has been extensively published among the general population, further research is needed to understand the reality of hypertension within the custodial setting. This study aimed to investigate the factors associated with arterial hypertension in custodial settings in southern Benin in 2023. 
  Methods: This was a cross-sectional, descriptive, analytical study held in prisons in southern Benin from March to April 2023, involving inmates selected by two-stage random sampling. In the first stage, four prisons out of the six in the southern region of Benin were selected by simple random sampling. In the second stage, the prisoners were selected by systematic random sampling, with the sampling frame being the numbered list of eligible prisoners in each prison selected. Data collected by observation and questionnaire survey were analyzed using Stata 11 software. Hypertension was defined as systolic blood pressure ≥ 140 mmHg and diastolic blood pressure ≥ 90 mmHg. Overweight was defined by a body mass index (weight/height
  <sup>2</sup> (kg/m
  <sup>2</sup>) ≥ 25. Factors associated with hypertension were identified by multiple logistic regression, at a 5% threshold of significance. 
  Results: Altogether 336 inmates aged 37.55 &#177; 1.72 years were surveyed. The prevalence of hypertension in custodial settings in southern Benin in 2023 was 31.32% (95% CI [17.06; 52.57]). Associated factors were inmate age (ORa = 3.36 95% CI: [1.94; 5.85]) and abnormal waist circumference (ORa = 2.61 95% CI [1.27; 5.40]). 
  Conclusion: The prevalence of arterial hypertension in prisons of southern Benin (31.32%) is high when compared with the national average (25.9% (22.5-29.3)). The ministries of the Interior and Health need to collaborate to involve inmates in preventive strategies for non-communicable diseases, including hypertension.
 
</p></abstract><kwd-group><kwd>Arterial Hypertension</kwd><kwd> Associated Factors</kwd><kwd> Inmates</kwd><kwd> Custodial Setting</kwd><kwd> Benin</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Arterial high blood pressure (AHB) is a non-communicable disease (NCD) and a chronic condition of worldwide significance [<xref ref-type="bibr" rid="scirp.131324-ref1">1</xref>] . As a potentially fatal cardiovascular disease, it causes stroke, myocardial infarction, heart failure, kidney damage and many other health disorders [<xref ref-type="bibr" rid="scirp.131324-ref2">2</xref>] . It is also one of the world’s leading causes of premature death. According to the World Health Organization (WHO), in 2021, 1.28 billion people aged between 30 and 79 had arterial hypertension worldwide [<xref ref-type="bibr" rid="scirp.131324-ref3">3</xref>] , more than three-quarters of whom live in low- and middle-income countries [<xref ref-type="bibr" rid="scirp.131324-ref2">2</xref>] .</p><p>Factors increasing the risk of hypertension include advanced age, genetic background, overweight, lack of physical activity, high-salt diet, excessive alcohol consumption, sedentary lifestyle and stress [<xref ref-type="bibr" rid="scirp.131324-ref2">2</xref>] . Many of these factors can be observed in prisons, where detention conditions are conducive to chronic diseases such as hypertension [<xref ref-type="bibr" rid="scirp.131324-ref4">4</xref>] . In Burundi, for instance, with a capacity of 4194 places, prisons held 11,464 inmates in 2019 [<xref ref-type="bibr" rid="scirp.131324-ref5">5</xref>] . In Benin, there was also overcrowding, with 14,190 inmates for a capacity of 5620 places, i.e., 252.49% in 2021 [<xref ref-type="bibr" rid="scirp.131324-ref6">6</xref>] .</p><p>Several studies have reported a high prevalence of hypertension among inmates [<xref ref-type="bibr" rid="scirp.131324-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.131324-ref8">8</xref>] , more so than in the general population [<xref ref-type="bibr" rid="scirp.131324-ref7">7</xref>] , and cardiovascular disease (CVD) is one of the leading causes of death among people incarcerated in correctional facilities [<xref ref-type="bibr" rid="scirp.131324-ref2">2</xref>] .</p><p>Given that almost half of all hypertensives are symptom-free and therefore unaware of their condition, the only effective way to combat hypertension is through early detection and identification of associated factors, including in custodial settings.</p><p>While Benin’s prevalence of hypertension in the general population was 25.9% in 2015 [<xref ref-type="bibr" rid="scirp.131324-ref9">9</xref>] , there are few studies on hypertension in inmates. What is the extent of arterial hypertension in correctional facilities, and what are the associated factors?</p><p>To answer these questions, the present study was initiated to investigate the factors associated with hypertension in custodial settings in Benin in 2023.</p></sec><sec id="s2"><title>2. Study Design</title><sec id="s2_1"><title>2.1. Study Framework</title><p>The study covered four prisons in southern Benin. The country of Benin is located in West Africa, with a population of 12.45 million in 2022, spread over an area of 114,763 km<sup>2</sup>. It has 11 civil prisons, located six in the south, two in the center and three in the north of the country.</p></sec><sec id="s2_2"><title>2.2. Study Type</title><p>This was a cross-sectional, descriptive study with a qualitative component.</p></sec><sec id="s2_3"><title>2.3. Population</title><p>Inmates aged 18 or over who had spent at least six months in one of the prisons selected for the study were targeted. Inmates suffering from a medical condition that prevented the administration of a questionnaire were not surveyed.</p><p>➢ Inclusion criteria</p><p>Included in the study were prisoners aged at least 18 years and having spent at least six months in one of the selected prisons.</p><p>➢ Non-inclusion criteria</p><p>Not included in our study were any prisoners suffering from a condition that did not allow the administration of a questionnaire or who had not given their free and informed consent.</p></sec><sec id="s2_4"><title>2.4. Sampling</title><sec id="s2_4_1"><title>2.4.1. Size of the Sample</title><p>Our sample size was calculated using the Schwartz formula, with the prevalence of hypertension in the general population of Benin in 2021 (25.9%) [<xref ref-type="bibr" rid="scirp.131324-ref10">10</xref>] and a precision of 5%. This sample size, increased by 10% in anticipation of refusals and missing data, was distributed proportionally to the number of prison inmates.</p><p>This size was distributed in proportion to the number of inmates held inside correctional facilities.</p></sec><sec id="s2_4_2"><title>2.4.2. Sampling Methods and Techniques</title><p>Four of the six prisons in the southern region of Benin were selected by simple random selection.</p><p>In each prison, inmates were chosen by systematic random sampling, using the institution’s numbered list of eligible inmates as the sampling frame.</p></sec></sec><sec id="s2_5"><title>2.5. Variables</title><p>The study variables were of two types: the dependent variable and the independent variables.</p><p>The dependent variable was arterial hypertension in prisoners, defined as systolic blood pressure ≥140 mmHg and/or diastolic blood pressure ≥ 90 mmHg.</p><p>The independent variables were divided into five groups relating to:</p><p>- Socio-demographic features (age, gender, level of instruction, marital status, socio-economic level)</p><p>- Behavioral factors (alcohol consumption, smoking)</p><p>- Custodial environment features (motive for detention, sentence, length of incarceration, stress, promiscuity, sedentary lifestyle, diet)</p><p>- Individual predispositions (family history of hypertension, personal history of diabetes, knowledge of hypertension and menopause in women)</p><p>- Anthropometric measurements (weight, height, waist circumference)</p><p>Qualitative data collected through interviews with primary targets focused on their knowledge of hypertension, its consequences and the factors influencing its onset.</p></sec><sec id="s2_6"><title>2.6. Data Gathering Techniques and Tools</title><p>Data were collected by questionnaire survey, observation and individual interview.</p><p>Stress was measured using the Perceived Stress Scale (PSS), a 10-item form [<xref ref-type="bibr" rid="scirp.131324-ref11">11</xref>] .</p><p>Measurements were taken during observation using a well-calibrated SECA brand bathroom scale, a measuring cup with a sliding board and a tape measure.</p><p>Blood pressure was taken twice at three-minute intervals on a bare arm using an OMRON brand electronic blood pressure monitor in a subject who had been resting seated for at least five minutes, at least thirty minutes after a meal, alcohol or tobacco intake, and no urge to urinate, then the second BP value was considered.</p></sec><sec id="s2_7"><title>2.7. Data Analysis</title><p>Data were processed in two stages using Stata 11 software.</p><p>For the description, central tendency and dispersion characteristics were used. A waist circumference ≥ 88 cm was considered abnormal.</p><p>Body mass index was calculated by BMI = Weight/height<sup>2</sup> (kg/m<sup>2</sup>) and assessed as below [<xref ref-type="bibr" rid="scirp.131324-ref12">12</xref>] .</p><p>- BMI &lt; 18.5: Lean</p><p>- 18.5 ≥ BMI &lt; 25: Normal</p><p>- 25 ≥ BMI &lt; 30: Overweight</p><p>- BMI ≥ 30 : Obese</p><p>In the analytical phase, bivariate analysis and multiple logistic regression were used to identify associated factors. The bivariate analysis used Pearson’s khi<sup>2</sup> test or Fisher’s exact test when one of the expected numbers was less than or equal to 5. Variables with a p-value greater than 20% were included in the initial multiple logistic regression model. Elimination was stepwise, at the 5% significance level. The adequacy of the final model was tested using the Hosmer Lemeshow adequacy test. According to this test, the model is said to be adequate when the p-value is greater than 5%.</p><p>Qualitative data were subjected to content analysis.</p></sec><sec id="s2_8"><title>2.8. Ethical Concerns</title><p>The Ministry of the Interior, which has jurisdiction over the prisons, authorized the study. Prisoners were provided with a briefing note prior to obtaining their consent. Anonymity was respected during data collection and analysis.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Sample Description</title><p>A total of 336 inmates were surveyed, aged between 18 and 90, with an average age of 37.55 &#177; 1.72 years, and a male/female sex ratio of 2.90. <xref ref-type="table" rid="table1">Table 1</xref> below presents some of the inmates’ characteristics.</p></sec><sec id="s3_2"><title>3.2. Prevalence of Arterial Hypertension</title><p>The overall prevalence of hypertension in prisons was 32.31% (95% CI [17.06; 52.57]), 21.44% (95% CI [16.25; 27.74]) in men and 10.87% (95% CI [2.76; 34.37]) in women.</p></sec><sec id="s3_3"><title>3.3. Identification of Arterial Hypertension Related Factors</title><p>v Bivariate analysis results</p><p>The factors associated with hypertension in prisons according to the bivariate analysis are summarized in <xref ref-type="table" rid="table2">Table 2</xref>.</p><p><xref ref-type="table" rid="table2">Table 2</xref> shows that five variables are associated with hypertension in prisons after bivariate analysis.</p><p>v Multivariate analysis results</p><p>The final logistic regression model, presented in <xref ref-type="table" rid="table3">Table 3</xref>, shows that the joint action of age and waist circumference was likely to lead to arterial hypertension in custodial settings of southern Benin, 2023.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>The prevalence of AH in prisons of southern Benin in 2023 (32.31%) according to the present study is higher than the prevalence of AH in the general population of Benin, 25.9% according to the STEP survey of 2015 [<xref ref-type="bibr" rid="scirp.131324-ref9">9</xref>] , lower than the 39.6% found by Tiodoung and al. in the central prison of Yaound&#233; in 2019 [<xref ref-type="bibr" rid="scirp.131324-ref13">13</xref>] .</p><p>The difference with the STEP survey data can be justified by the eight-year time lag between the two studies (2015-2023); in fact, our results are close to the prevalence of hypertension in Benin according to world health statistics (31.8%) [<xref ref-type="bibr" rid="scirp.131324-ref14">14</xref>] .</p><p>That the prevalence of hypertension in prison is equivalent to that of the general population indicates the multiplicity of risk factors. Indeed, the prison environment requires a sedentary lifestyle, often limited activity, imposed diet and stress. However, the data collected in the present study do not provide information on the effect of these different factors on prisoners or known hypertensives before incarceration.</p><p>Sex</p><p>Our sample was predominantly male, with a male/female sex ratio of 2.90. This result reflects the gender distribution of the target prison population. Indeed,</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Individual characteristics of surveyed inmates in southern Benin in 2023 (n = 336)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Headcounts</th><th align="center" valign="middle" >Percentages</th></tr></thead><tr><td align="center" valign="middle" >Level of instruction</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Out of school</td><td align="center" valign="middle" >119</td><td align="center" valign="middle" >34.95</td></tr><tr><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >83</td><td align="center" valign="middle" >24.76</td></tr><tr><td align="center" valign="middle" >Secondary</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" >30.43</td></tr><tr><td align="center" valign="middle" >University</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >9.86</td></tr><tr><td align="center" valign="middle" >Marital status</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >241</td><td align="center" valign="middle" >70.85</td></tr><tr><td align="center" valign="middle" >Divorced</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >11.16</td></tr><tr><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >13.64</td></tr><tr><td align="center" valign="middle" >Widowed</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >4.34</td></tr><tr><td align="center" valign="middle" >AH familial background</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >169</td><td align="center" valign="middle" >50.02</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >167</td><td align="center" valign="middle" >49.98</td></tr><tr><td align="center" valign="middle" >Personal diabetes background</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >6.33</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >316</td><td align="center" valign="middle" >93.67</td></tr><tr><td align="center" valign="middle" >Menopause (n = 86)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >24.83</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >65</td><td align="center" valign="middle" >75.17</td></tr><tr><td align="center" valign="middle" >Waist circumference (cm)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >263</td><td align="center" valign="middle" >76.57</td></tr><tr><td align="center" valign="middle" >Abnormal</td><td align="center" valign="middle" >73</td><td align="center" valign="middle" >23.43</td></tr><tr><td align="center" valign="middle" >Body mass index (kg/m<sup>2</sup>)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Lean</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >23.75</td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >241</td><td align="center" valign="middle" >71.59</td></tr><tr><td align="center" valign="middle" >Overweight</td><td align="center" valign="middle" >79</td><td align="center" valign="middle" >4.66</td></tr><tr><td align="center" valign="middle" >Length of incarceration</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;2 years</td><td align="center" valign="middle" >196</td><td align="center" valign="middle" >56.41</td></tr><tr><td align="center" valign="middle" >≥2 years</td><td align="center" valign="middle" >140</td><td align="center" valign="middle" >43.59</td></tr><tr><td align="center" valign="middle" >Stress</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Can manage stress or generally cope with stress PSS (PSS* ≤ 26)</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >10.56</td></tr><tr><td align="center" valign="middle" >Under constant threat (of rejection, illness or even suicide (PSS* ≥ 27)</td><td align="center" valign="middle" >297</td><td align="center" valign="middle" >89.43</td></tr></tbody></table></table-wrap><p>*: PSS = Perceived Stress Scale.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Factors associated with arterial hypertension in custodial settings of southern Benin, 2023 (n = 336)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="2"  >Arterial Hypertension</th><th align="center" valign="middle"  rowspan="2"  >OR<sub>raw</sub></th><th align="center" valign="middle"  rowspan="2"  >CI 95%</th><th align="center" valign="middle"  rowspan="2"  >p</th></tr></thead><tr><td align="center" valign="middle" >Yes (n = 102)</td><td align="center" valign="middle" >No (n = 234)</td></tr><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;40 years</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >169</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >≥40 years</td><td align="center" valign="middle" >61</td><td align="center" valign="middle" >65</td><td align="center" valign="middle" >3.63</td><td align="center" valign="middle" >[1.02; 1.09]</td><td align="center" valign="middle" >0.003</td></tr><tr><td align="center" valign="middle" >Marital status</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >76</td><td align="center" valign="middle" >165</td><td align="center" valign="middle" >2.45</td><td align="center" valign="middle" >[1.32; 4.58]</td><td align="center" valign="middle" >0.019</td></tr><tr><td align="center" valign="middle" >Divorced</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >2.66</td><td align="center" valign="middle" >[0.50; 14.04]</td><td align="center" valign="middle" >0.157</td></tr><tr><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Widowed</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >5.68</td><td align="center" valign="middle" >[2.15; 14.99]</td><td align="center" valign="middle" >0.011</td></tr><tr><td align="center" valign="middle" >Socio-economic level</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Lower class</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >137</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Lower-middle class</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >57</td><td align="center" valign="middle" >2.06</td><td align="center" valign="middle" >[1.40; 3.06]</td><td align="center" valign="middle" >0.010</td></tr><tr><td align="center" valign="middle" >Middle class</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >3.04</td><td align="center" valign="middle" >[0.87; 13.35]</td><td align="center" valign="middle" >0.065</td></tr><tr><td align="center" valign="middle" >Upper-middle class</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >3.07</td><td align="center" valign="middle" >[0.99; 9.52]</td><td align="center" valign="middle" >0.050</td></tr><tr><td align="center" valign="middle" >Upper class</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >2.57</td><td align="center" valign="middle" >[0.55; 12.12]</td><td align="center" valign="middle" >0.147</td></tr><tr><td align="center" valign="middle" >Length of incarceration</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;2 years</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >147</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >≥2 years</td><td align="center" valign="middle" >53</td><td align="center" valign="middle" >87</td><td align="center" valign="middle" >1.81</td><td align="center" valign="middle" >[1.54; 2.13]</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Visits per month</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >None</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >136</td><td align="center" valign="middle" >0.94</td><td align="center" valign="middle" >[0.47; 1.87]</td><td align="center" valign="middle" >0.796</td></tr><tr><td align="center" valign="middle" >1 or 2 visits</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >69</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >≥3 visits</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >0.73</td><td align="center" valign="middle" >[0.45; 1.18]</td><td align="center" valign="middle" >0.131</td></tr><tr><td align="center" valign="middle" >Stress</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Can generally cope with stress</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Under constant stress</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >203</td><td align="center" valign="middle" >1.87</td><td align="center" valign="middle" >[0.69; 5.04]</td><td align="center" valign="middle" >0.138</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Factors associated with arterial hypertension in custodial settings of southern Benin in 2023 (n = 336)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variable</th><th align="center" valign="middle" >OR Adjusted</th><th align="center" valign="middle" >CI95%</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle" >Age ≥ 40 years</td><td align="center" valign="middle" >3.36</td><td align="center" valign="middle" >[1.94; 5.85]</td><td align="center" valign="middle" >0.006</td></tr><tr><td align="center" valign="middle" >Abnormal waist circumference</td><td align="center" valign="middle" >2.61</td><td align="center" valign="middle" >[1.27; 5.40]</td><td align="center" valign="middle" >0.024</td></tr></tbody></table></table-wrap><p>the high representation of men could be explained by their characteristics, which expose them to punishable acts. This male predominance was also found by Tiodoung and al. in Cameroon, with a male/female sex ratio of 3.5 (n = 437) [<xref ref-type="bibr" rid="scirp.131324-ref13">13</xref>] . Beyond the mere male predominance of the sample, even if gender is not retained as an associated factor in the present study, the male sex is recognized by several studies as favoring arterial hypertension [<xref ref-type="bibr" rid="scirp.131324-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.131324-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.131324-ref16">16</xref>] .</p><p>Associated factors with arterial hypertension within custodial settings</p><p>Age</p><p>The mean age of this study population was 37.55 &#177; 1.72 years. This average age is very close to those found by several other authors. Indeed, a study carried out by Tiodoung and al. in 2019 in Yaound&#233;, Cameroon, reported an average age of 37.01 &#177; 13.2 years [<xref ref-type="bibr" rid="scirp.131324-ref13">13</xref>] . Also, two-thirds of the sample in this survey were aged between 29 to 43, just as in the study carried out in 2019 by Tiodoung and al. who showed that two-thirds of respondents were aged between 20 and 39 [<xref ref-type="bibr" rid="scirp.131324-ref13">13</xref>] . In Brazil, the work of da Silva and al. reported that inmates had an average age of 38.10 &#177; 8.52 years, with a predominance of the 31 - 49 age bracket in 2015 [<xref ref-type="bibr" rid="scirp.131324-ref17">17</xref>] . Older age has been identified as associated with hypertension in prisons [<xref ref-type="bibr" rid="scirp.131324-ref13">13</xref>] than in the general population [<xref ref-type="bibr" rid="scirp.131324-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.131324-ref16">16</xref>] . This may be justified by the comorbidities, including diabetes, that lurk in this age group.</p><p>Waist circumference</p><p>The abnormal waist circumference as a factor associated with hypertension in our study reflects obesity, a well-known associated factor in arterial hypertension. Indeed, it is well established that obesity is associated with activation of the sympathetic nervous system and the renin-angiotensin-aldosterone system, contributing to the development of hypertension in prisoners [<xref ref-type="bibr" rid="scirp.131324-ref18">18</xref>] . This finding is consistent with those of several other studies on hypertension in prisons and in the general population [<xref ref-type="bibr" rid="scirp.131324-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.131324-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.131324-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.131324-ref17">17</xref>] .</p></sec><sec id="s5"><title>5. Conclusion</title><p>Arterial hypertension is a major health concern requiring a multi-sectoral approach. Prevention strategies need to be extended to prisons, given the additional risk linked to the custodial environment and the higher prevalence of hypertension among inmates.</p></sec><sec id="s6"><title>Acknowledgements</title><p>The authors are grateful to the Ministry of the Interior, who authorized the study and to all prisoners surveyed.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare that the study 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="s8"><title>Cite this paper</title><p>Virginie, M., Alphonse, K. and Kp&#233;t&#233;kousso, A. (2024) Arterial Hypertension-Related Factors within Custodial Settings of Southern Benin in 2023. 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