<?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">ODEM</journal-id><journal-title-group><journal-title>Occupational Diseases and Environmental Medicine</journal-title></journal-title-group><issn pub-type="epub">2333-3561</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/odem.2023.114013</article-id><article-id pub-id-type="publisher-id">ODEM-128092</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>
 
 
  Profile of Declared Work Accidents at the Parakou Agency of the National Social Security Fund, 2015-2021, Benin
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Fabien</surname><given-names>Christophe Ahoya Gounongbé</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>Luc</surname><given-names>Bèhanzin</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>Ibrahim</surname><given-names>Mama Cissé</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Colette</surname><given-names>Sylvie Azandjèmè</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sandrine</surname><given-names>Mathe Lompo</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Germain</surname><given-names>Kètèhoundjè</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>National School for the Training of Senior Technicians in Public Health and Epidemiological Surveillance, University of Parakou, Parakou, Benin</addr-line></aff><aff id="aff3"><addr-line>Regional Institute of Public Health of Ouidah, University of Abomey-Calavi, Abomey-Calavi, Benin</addr-line></aff><aff id="aff1"><addr-line>Faculty of Medicine, University of Parakou, Parakou, Benin</addr-line></aff><aff id="aff4"><addr-line>Health Sciences Training and Research Unit, Joseph Ki-Zerbo University, Ouagadougou, Burkina Faso</addr-line></aff><pub-date pub-type="epub"><day>25</day><month>09</month><year>2023</year></pub-date><volume>11</volume><issue>04</issue><fpage>167</fpage><lpage>174</lpage><history><date date-type="received"><day>4,</day>	<month>July</month>	<year>2023</year></date><date date-type="rev-recd"><day>25,</day>	<month>September</month>	<year>2023</year>	</date><date date-type="accepted"><day>28,</day>	<month>September</month>	<year>2023</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: Work accidents (WA) have consequences for both the individual and the company. The objective of this study is to study the profile of work accidents declared to the Parakou agency of the National Social Security Fund (CNSS) from 2015 to 2021.
   Method: This was a descriptive cross-sectional study with retrospective data collection. It concerned workers affiliated with the CNSS in Parakou, victims of declared WA whose file was available and exploitable. The sampling was exhaustive. Data was collected from registers and worker records. The variables studied were socio-demographic and related to the accident. They were analyzed using R version 4.1 software. 
  Results: The annual incidence rate of WA varied from 5.8% in 2015 to 1.7% in 2021. The victims were 90.6% male. There were more subjects aged 28 to 37 years (37.1%). Workers and laborers were the most concerned. Fractures (22.9%) were the major lesions. At 38.5% they sat in the thoracic limbs and at 22.5% in the pelvic limbs. The majority (63.6%) of these accidents occurred in the workplace. The processing industry sector was mainly (52.1%) the place of accidents. 
  Conclusion: The prevalence of WA declared to the agency of the National Social Security Fund of Parakou from 2015 to 2021 is decreasing. The most affected were young people. It is important to assess their socio-economic impacts.
 
</p></abstract><kwd-group><kwd>Accident at Work</kwd><kwd> Declared</kwd><kwd> Agency</kwd><kwd> CNSS</kwd><kwd> Parakou</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Current modes of production and commercial exchanges have given rise to new forms of work organization. The resulting work situations have favored occupational risk factors that were previously non-existent in the workplace, in particular occupational accidents. The Beninese social security code considers an accident at work, whatever the cause, the accident occurring to a worker: by the fact or on the occasion of work; during the journey from his residence to the place of work and vice versa or during the journey between the place of work and the place where he usually takes his meals and vice versa insofar as the journey has not been interrupted or diverted for personal or non-employment reasons; and during trips for which the costs are borne by the employer [<xref ref-type="bibr" rid="scirp.128092-ref1">1</xref>] . According to the International Labor Office (ILO, 2005), nearly 268 million work accidents occur each year [<xref ref-type="bibr" rid="scirp.128092-ref2">2</xref>] . Due to their frequency and seriousness, accidents at work constitute a real public health problem [<xref ref-type="bibr" rid="scirp.128092-ref3">3</xref>] . The International Labor Organization (ILO) estimated that these accidents cause more than 350,000 deaths worldwide every year. On the African continent alone, 45 million ATs occurred, causing at least 59,000 in 2014 [<xref ref-type="bibr" rid="scirp.128092-ref4">4</xref>] . In Senegal (2013), the cost of AT represented 4% of the gross domestic product every year [<xref ref-type="bibr" rid="scirp.128092-ref5">5</xref>] . The unavailability of a study on the characteristics of work accidents occurring in northern Benin motivated this study on the profile of work accidents declared to the Parakou agency of the National Social Security Fund from 2015 to 2021.</p></sec><sec id="s2"><title>2. Methods</title><p>This was a descriptive historical cohort study. Data collection took place from February 2 to April 30, 2022. It concerned workers in the departments of Borgou and Alibori affiliated with the National Social Security Fund (CNSS) of the Parakou regional agency. The outcome sought was the occurrence of a work accident. To do this, we took into account the files of victims of work accidents (WA) declared from January 1, 2015 to December 31, 2021. This was an exhaustive sampling including the available and exploitable files of all workers affiliated with the CNSS Parakou agency. Data on accident cases were collected from AT declaration registers and worker files, using a tally sheet. The variables studied were socio-demographic (sex, age, seniority, professional category, department of location of the company), and the characteristics of work accidents. Data collection was digital with the KoBoToolbox platform and the KoboCollect application. The quantitative variables were described by their mean with standard deviation and those qualitative by the percentage. Data processing and analysis were performed using R version 4.1 software. The study received approval from the Ethics Committee of the Faculty of Medicine of the University of Parakou under the number REF: 0450/CLERB-UP/P/SP/R/SA.</p></sec><sec id="s3"><title>3. Results</title><p>Of the 735 files, 733 were available and usable, i.e. 99.72%. The department of Borgou had counted 558 (76.1%) and 175 (23.9%) for that of Alibori. The proportion of annual incidence of AT was 2.98% varying between 5.8% in 2015 and 1.7% in 2021 (see <xref ref-type="fig" rid="fig1">Figure 1</xref>). The victims were 90.6% male. The average age of the subjects was 36 &#177; 10 years. The youngest were 16 and the oldest were 67. Those under 18 made up 0.4% of the sample. There were more subjects aged 28 to 37 (37.1%) as well as those with less than 5 years of seniority in their professional activity (66.7%). Manual workers and laborers were the most concerned with respective proportions of 46.7% and 31.2% (<xref ref-type="table" rid="table1">Table 1</xref>). Collision (32.8%) and recklessness (21.3%) were the main cause mechanisms of occurrence. Fractures (22.9%) were the most frequent traumatic lesions. The lesions were most often found in the thoracic limbs (38.5%) particularly in the hand (25%) and in the pelvic limbs (22.5%) particularly in the foot (10.5%) (<xref ref-type="table" rid="table3">Table 3</xref>). The majority of accidents occurred in the workplace (63.6%) (<xref ref-type="table" rid="table2">Table 2</xref>). The transformation industry sector was mainly concerned (52.1%) followed by that of buildings and public works (19.8%) (<xref ref-type="table" rid="table2">Table 2</xref>).</p></sec><sec id="s4"><title>4. Discussion</title><p>The data for the study was collected from the files of all clients of the CNSS Parakou agency from 2015 to 2021 and from the AT declaration register and victim files from this same period; which seems appropriate for this retrospective study.</p><p>Annual frequency of accidents: The average annual frequency of AT was 2.98%. Fayomi et al. in 1993 in Benin, obtained a frequency of 4% [<xref ref-type="bibr" rid="scirp.128092-ref6">6</xref>] . A study carried out in 2000 showed that work accidents declared in Benin evolved in Sawtooth around the annual frequency of 4.8% on average [<xref ref-type="bibr" rid="scirp.128092-ref7">7</xref>] . In Tunisia, the evolution of WA was down from 43.2% in 1995 to 33.3% in 2005 [<xref ref-type="bibr" rid="scirp.128092-ref8">8</xref>] .</p><p>Socio-demographic characteristics of the victims: Young people between the ages of 28 and 37 represented 37.1% of the sample. Our results are also similar to those found by Diallo in Mali where the most affected age group was 25 to 34 years [<xref ref-type="bibr" rid="scirp.128092-ref9">9</xref>] . In Togo in 2018, Mikponhou&#233; et al. [<xref ref-type="bibr" rid="scirp.128092-ref10">10</xref>] , found that the age group of 25 to 39 years was more affected. Article 459 of the Beninese Individuals and Family Code stipulates that the age of majority is 18 years [<xref ref-type="bibr" rid="scirp.128092-ref11">11</xref>] . In our study, 0.4% of WA victims were minors (under 18). There are therefore minors who work in companies in northern Benin. Almost all (90.6%) of the victims were male. This result is in line with those of the work of Mikponhou&#233; et al. 2018 [<xref ref-type="bibr" rid="scirp.128092-ref10">10</xref>] in Togo (89%), Hami et al. [<xref ref-type="bibr" rid="scirp.128092-ref12">12</xref>] in 2018 in Morocco (91.8%), Mihaja et al. [<xref ref-type="bibr" rid="scirp.128092-ref13">13</xref>] in 2020 in Madagascar (95.81%) and Maoua et al. [<xref ref-type="bibr" rid="scirp.128092-ref14">14</xref>] in 2016 in Tunisia (87.5%).</p><p>Characteristics of accidents: The secondary sector of activity (industry, buildings and public works) ranks first (52.1%, 19.7%) in terms of the occurrence of declared accidents. In 2018 in Senegal, in the construction and public works sector, 22.6% of employees had been victims of AT (Dia et al.) [<xref ref-type="bibr" rid="scirp.128092-ref5">5</xref>] . Workers and laborers were the most victims of work accidents with respectively 46.4% and 31.2% of the whole. In 1993, Fayomi et al. [<xref ref-type="bibr" rid="scirp.128092-ref6">6</xref>] had already noted a strong involvement of these two categories of workers in Benin in work.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Breakdown of reported victims of WA according to age, seniority and professional category, Parakou agency of the CNSS, 2015-2021 (n = 733)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Ages (years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;18</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >0.4</td></tr><tr><td align="center" valign="middle" >18 - 27</td><td align="center" valign="middle" >136</td><td align="center" valign="middle" >18.6</td></tr><tr><td align="center" valign="middle" >28 - 37</td><td align="center" valign="middle" >272</td><td align="center" valign="middle" >37.1</td></tr><tr><td align="center" valign="middle" >38 - 47</td><td align="center" valign="middle" >137</td><td align="center" valign="middle" >18.7</td></tr><tr><td align="center" valign="middle" >48 - 57</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" >13.8</td></tr><tr><td align="center" valign="middle" >58 - 67</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >1.8</td></tr><tr><td align="center" valign="middle" >Not specified</td><td align="center" valign="middle" >71</td><td align="center" valign="middle" >9.7</td></tr><tr><td align="center" valign="middle" >Seniority (years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;5</td><td align="center" valign="middle" >489</td><td align="center" valign="middle" >66.7</td></tr><tr><td align="center" valign="middle" >[5 - 10[</td><td align="center" valign="middle" >110</td><td align="center" valign="middle" >15</td></tr><tr><td align="center" valign="middle" >[10 - 15[</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >6.3</td></tr><tr><td align="center" valign="middle" >[15 - 20[</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >5.5</td></tr><tr><td align="center" valign="middle" >≥20</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >6.5</td></tr><tr><td align="center" valign="middle" >Professional category</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Workers</td><td align="center" valign="middle" >342</td><td align="center" valign="middle" >46.7</td></tr><tr><td align="center" valign="middle" >Maneuvers</td><td align="center" valign="middle" >229</td><td align="center" valign="middle" >31.2</td></tr><tr><td align="center" valign="middle" >Office workers</td><td align="center" valign="middle" >84</td><td align="center" valign="middle" >11.5</td></tr><tr><td align="center" valign="middle" >Not specified</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >4</td></tr><tr><td align="center" valign="middle" >Security agent</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >3.3</td></tr><tr><td align="center" valign="middle" >Pharmacy assistant, teacher, health worker</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >3.3</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution of accident victims according to the place of occurrence, mechanism of accident and sector of activity, CNSS Parakou agency, 2015-2021 (n = 733)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Type of TA</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Workplace accident</td><td align="center" valign="middle" >466</td><td align="center" valign="middle" >63.6</td></tr><tr><td align="center" valign="middle" >Accident on the way</td><td align="center" valign="middle" >258</td><td align="center" valign="middle" >35.2</td></tr><tr><td align="center" valign="middle" >Mission crash</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >1.2</td></tr><tr><td align="center" valign="middle" >Place of occurrence</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Industry</td><td align="center" valign="middle" >225</td><td align="center" valign="middle" >47.4</td></tr><tr><td align="center" valign="middle" >Handling</td><td align="center" valign="middle" >156</td><td align="center" valign="middle" >32.8</td></tr><tr><td align="center" valign="middle" >Maintenance</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >10.1</td></tr><tr><td align="center" valign="middle" >Guarding</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >1.5</td></tr><tr><td align="center" valign="middle" >Health training</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >2.1</td></tr><tr><td align="center" valign="middle" >Road</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >3.2</td></tr><tr><td align="center" valign="middle" >Residence</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >1.3</td></tr><tr><td align="center" valign="middle" >School</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >0.8</td></tr><tr><td align="center" valign="middle" >Food</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >0.6</td></tr><tr><td align="center" valign="middle" >Agricultural environment</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.2</td></tr><tr><td align="center" valign="middle" >Mechanism of accidents</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Collision</td><td align="center" valign="middle" >156</td><td align="center" valign="middle" >32.8</td></tr><tr><td align="center" valign="middle" >Imprudence</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" >21.3</td></tr><tr><td align="center" valign="middle" >Misuse of equipment</td><td align="center" valign="middle" >92</td><td align="center" valign="middle" >19.4</td></tr><tr><td align="center" valign="middle" >Fall</td><td align="center" valign="middle" >65</td><td align="center" valign="middle" >13.7</td></tr><tr><td align="center" valign="middle" >Projectile</td><td align="center" valign="middle" >54</td><td align="center" valign="middle" >11.4</td></tr><tr><td align="center" valign="middle" >Heist</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >1.5</td></tr><tr><td align="center" valign="middle" >Sector of activity</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Processing industry</td><td align="center" valign="middle" >382</td><td align="center" valign="middle" >52.1</td></tr><tr><td align="center" valign="middle" >Building and public works</td><td align="center" valign="middle" >145</td><td align="center" valign="middle" >19.8</td></tr><tr><td align="center" valign="middle" >Commerce, hospitality and tourism</td><td align="center" valign="middle" >85</td><td align="center" valign="middle" >11.6</td></tr><tr><td align="center" valign="middle" >Bank and insurance</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >4.9</td></tr><tr><td align="center" valign="middle" >Care services</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >3.3</td></tr><tr><td align="center" valign="middle" >Other service activities</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >2.5</td></tr><tr><td align="center" valign="middle" >Education</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >1.4</td></tr><tr><td align="center" valign="middle" >Church and social communities</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >1.4</td></tr><tr><td align="center" valign="middle" >Transportation and communications</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >1.2</td></tr><tr><td align="center" valign="middle" >Organization and social structures</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >0.9</td></tr><tr><td align="center" valign="middle" >Security</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >0.9</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Breakdown of reported WA victims according to location and type of lesion, CNSS Parakou agency, 2015-2021 (n = 733)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Site of lesions</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Hands</td><td align="center" valign="middle" >183</td><td align="center" valign="middle" >25.0</td></tr><tr><td align="center" valign="middle" >Pelvic limbs (feet excepted)</td><td align="center" valign="middle" >99</td><td align="center" valign="middle" >13.5</td></tr><tr><td align="center" valign="middle" >Thoracic limbs (hands excepted)</td><td align="center" valign="middle" >88</td><td align="center" valign="middle" >12.0</td></tr><tr><td align="center" valign="middle" >Feet</td><td align="center" valign="middle" >77</td><td align="center" valign="middle" >10.5</td></tr><tr><td align="center" valign="middle" >Eyes</td><td align="center" valign="middle" >66</td><td align="center" valign="middle" >9.0</td></tr><tr><td align="center" valign="middle" >Multiple</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >3.8</td></tr><tr><td align="center" valign="middle" >Thorax</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >3.0</td></tr><tr><td align="center" valign="middle" >Abdomen</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >1.2</td></tr><tr><td align="center" valign="middle" >Neck</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >1.0</td></tr><tr><td align="center" valign="middle" >Unspecified</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >1.5</td></tr><tr><td align="center" valign="middle" >Others (Clavicle, Pelvis, Jaw, Hip)</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >6.5</td></tr><tr><td align="center" valign="middle" >Types of lesions</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Fracture</td><td align="center" valign="middle" >168</td><td align="center" valign="middle" >22.9</td></tr><tr><td align="center" valign="middle" >Wounds</td><td align="center" valign="middle" >155</td><td align="center" valign="middle" >21.1</td></tr><tr><td align="center" valign="middle" >Sprain</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >5.9</td></tr><tr><td align="center" valign="middle" >Contusion</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >5.6</td></tr><tr><td align="center" valign="middle" >Eye trauma</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >4.0</td></tr><tr><td align="center" valign="middle" >Burns</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >2.6</td></tr><tr><td align="center" valign="middle" >Cranio-encephalic trauma</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >2.5</td></tr><tr><td align="center" valign="middle" >Amputation</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >1.9</td></tr><tr><td align="center" valign="middle" >Concussion</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >1.5</td></tr><tr><td align="center" valign="middle" >Tooth avulsion</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >1.2</td></tr><tr><td align="center" valign="middle" >Osteo-ligament lesion</td><td align="center" valign="middle" >53</td><td align="center" valign="middle" >7.2</td></tr></tbody></table></table-wrap><p>accidents (77%). From this observation, we can then say that there has been a regression of occupational accidents over the years in this country, as shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>. In Burkina Faso (N’guessan et al. 2019) [<xref ref-type="bibr" rid="scirp.128092-ref15">15</xref>] , workers and maneuvers were also the most victims (36.68%). Those with less than 5 years of practice represented 66.7% of the accident victims. Observations of Mikponhou&#233; et al. [<xref ref-type="bibr" rid="scirp.128092-ref10">10</xref>] in Togo in 2018 (78.53%), Horwitz et al. 2005 [<xref ref-type="bibr" rid="scirp.128092-ref16">16</xref>] in Oregon in the USA (53.2%) agree with our observation. Parakou regional agency from 2015 to 2021 occurred in the workplace (63.8%). At the CNSS of Senegal (Dia et al. 2018) [<xref ref-type="bibr" rid="scirp.128092-ref5">5</xref>] and that of Togo (Atitch&#233; et al. 2017) [<xref ref-type="bibr" rid="scirp.128092-ref17">17</xref>] , it was similar at 77.4% and 67.1% respectively. The lack of surveillance in the workplace and the lack of continuous training for workers would partly explain this. The WA occurring on the journeys was 35.2%. This reflects that the situation in Benin with regard to commuting accidents has therefore not changed since 2013. In Burkina Faso, the rate is higher (62%) (Sanon Lampo et al. 2019) [<xref ref-type="bibr" rid="scirp.128092-ref18">18</xref>] . This high rate of commuting accidents in Benin, as elsewhere in the sub-region, raises the issue of road safety, particularly in relation to the state of the roads and respect for the highway code. Machinery and hand tools were 19.0% and 17.2% the most common causes, respectively. The same observation was made by Diallo in Mali but at a higher frequency (44.11%) [<xref ref-type="bibr" rid="scirp.128092-ref9">9</xref>] . The predominant lesions were fractures (22.9%) followed by wounds (21.1%). In the series by Rahmani et al. in 2013 [<xref ref-type="bibr" rid="scirp.128092-ref19">19</xref>] and Sanon Lompo et al. in 2019 [<xref ref-type="bibr" rid="scirp.128092-ref18">18</xref>] in Ouagadougou, invoices also came first in higher proportions (25.21% and 48.88%). According to the work of Halvani et al. in Iran in 2012 [<xref ref-type="bibr" rid="scirp.128092-ref20">20</xref>] , wounds came first (55.9%). The hands and feet were the most affected (25% and 10.5%). These are the parts of the body most in contact with the rolling means and even with the work equipment.</p><p>The limits of the study are linked to the retrospective collection, hence the incomplete data (the number of workdays lost or the number of hours off work) and our inability to trace the history of all the information on the workers. However, it provides usable scientific information.</p></sec><sec id="s5"><title>5. Conclusion</title><p>The average annual frequency of occupational accidents recorded at the regional agency of the National Social Security Fund of Parakou from 2015 to 2021 is decreasing but still high. Men are much more affected than women. The most concerned were young people and those who had less than five years of seniority in their profession. Recklessness was the main cause of accidents. The lesions are most frequently found at the extremities of the limbs. The secondary business sector is more at risk. It is important to assess their socio-economic impacts, and necessary concerted and adapted actions involving all the actors of health and safety at work.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Gounongb&#233;, F.C.A., B&#232;hanzin, L., Ciss&#233;, I.M., Azandj&#232;m&#232;, C.S., Lompo, S.M. and K&#232;t&#232;houndj&#232;, G. (2023) Profile of Declared Work Accidents at the Parakou Agency of the National Social Security Fund, 2015-2021, Benin. Occupational Diseases and Environmental Medicine, 11, 167-174. https://doi.org/10.4236/odem.2023.114013</p></sec></body><back><ref-list><title>References</title><ref id="scirp.128092-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">République du Bénin. 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