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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">AVEH</journal-id>
<journal-title-group>
<journal-title>African Vision and Eye Health</journal-title>
</journal-title-group>
<issn pub-type="ppub">2413-3183</issn>
<issn pub-type="epub">2410-1516</issn>
<publisher>
<publisher-name>AOSIS</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">AVEH-79-577</article-id>
<article-id pub-id-type="doi">10.4102/aveh.v79i1.577</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Visual health status and its relationship with road traffic accidents amongst Nigerian vehicle drivers: A publication of the Nigerian Optometric Association</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3531-5577</contrib-id>
<name>
<surname>Ekpenyong</surname>
<given-names>Bernadine N.</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2640-9803</contrib-id>
<name>
<surname>Echendu</surname>
<given-names>Damian</given-names>
</name>
<xref ref-type="aff" rid="AF0002">2</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9238-9863</contrib-id>
<name>
<surname>Ekanem</surname>
<given-names>Ekanem</given-names>
</name>
<xref ref-type="aff" rid="AF0003">3</xref>
<xref ref-type="aff" rid="AF0004">4</xref>
</contrib>
<aff id="AF0001"><label>1</label>Department of Public Health, College of Medical Sciences, University of Calabar, Calabar, Nigeria</aff>
<aff id="AF0002"><label>2</label>State House Medical Centre, Aso Rock Abuja, Nigeria</aff>
<aff id="AF0003"><label>3</label>Department of Community Health and Primary Care, College of Medicine, University of Lagos, Lagos, Nigeria</aff>
<aff id="AF0004"><label>4</label>The Nigerian Optometric Association, Abuja, Nigeria</aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><bold>Corresponding author:</bold> Bernadine Ekpenyong, <email xlink:href="benyita2001@yahoo.com">benyita2001@yahoo.com</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>07</day><month>12</month><year>2020</year></pub-date>
<pub-date pub-type="collection"><year>2020</year></pub-date>
<volume>79</volume>
<issue>1</issue>
<elocation-id>577</elocation-id>
<history>
<date date-type="received"><day>15</day><month>05</month><year>2020</year></date>
<date date-type="accepted"><day>11</day><month>09</month><year>2020</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2020. The Authors</copyright-statement>
<copyright-year>2020</copyright-year>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License.</license-p>
</license>
</permissions>
<abstract>
<sec id="st1">
<title>Background</title>
<p>A driver&#x2019;s vision is an important human factor necessary for safe driving.</p>
</sec>
<sec id="st2">
<title>Aim</title>
<p>The aim of this study was to determine the functional vision status of drivers in Nigeria and to establish its relationship with road traffic accidents (RTAs).</p>
</sec>
<sec id="st3">
<title>Setting</title>
<p>Designated road lay-bys and motor parks in Nigeria.</p>
</sec>
<sec id="st4">
<title>Methods</title>
<p>A cross-sectional study design was used for this study, with a sample size of 3521 vehicle drivers. Twenty-seven states and the Federal Capital Territory Abuja participated in the study. Participating drivers were interviewed, and clinical eye examinations were conducted by a team of optometrists at designated Federal Road Safety Commission road checkpoints and motor parks in the country.</p>
</sec>
<sec id="st5">
<title>Results</title>
<p>The mean age of the drivers was 46.3 &#x00B1; 10.9 years. Of the 3500 participants, 3080 (88&#x0025;) were men and 2780 (79.4&#x0025;) had a driving licence. The percentage of drivers who underwent an eye test before being issued a licence was generally low (median, 43.5&#x0025;). A history of RTA was reported by 8.3&#x0025; of the drivers. The prevalence of visual impairment was observed amongst 7.5&#x0025; of drivers (95&#x0025; confidence interval [CI], 6.6&#x0025; &#x2013; 8.5&#x0025;), whilst the prevalence amongst private drivers was 6.1&#x0025; (95&#x0025; CI, 4.6&#x0025; &#x2013; 7.9&#x0025;). Drivers with visual impairment were nearly two times (adjusted odds ratio, 1.7; 95&#x0025; CI, 1.06&#x2013;2.77) more likely to be involved in RTA compared to those without impairment.</p>
</sec>
<sec id="st6">
<title>Conclusion</title>
<p>This survey has demonstrated the relationship between poor vision and the occurrence of RTA. All stakeholders must work together to ensure the safety of lives and property on our roads.</p>
</sec>
</abstract>
<kwd-group>
<kwd>road traffic accident</kwd>
<kwd>vehicle drivers</kwd>
<kwd>visual health status</kwd>
<kwd>visual impairment</kwd>
<kwd>prevalence</kwd>
<kwd>driving license</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s0001">
<title>Introduction</title>
<p>The sense of sight is particularly important for discerning obstacles and navigating whilst driving, which is why having good eyesight is a requisite for safe driving. Road traffic accidents (RTAs) are a major, but neglected, public health challenge that requires concerted efforts for effective and sustainable prevention. Worldwide, an estimated 1.2 million people are killed in road crashes each year and as many as 50 million are injured. Projections indicate that these figures will increase by about 65&#x0025; over the next 20 years unless there is a new commitment to prevention.<sup><xref ref-type="bibr" rid="CIT0001">1</xref></sup> The Federal Road Safety Commission (FRSC) uses the term road traffic crash, the reason being that most traffic crashes are not accidents because they could have been prevented.<sup><xref ref-type="bibr" rid="CIT0001">1</xref>,<xref ref-type="bibr" rid="CIT0002">2</xref></sup> Road traffic accidents are common in Nigeria, and the reported risk factors include mechanical fault, bad road, wet road and human factors.<sup><xref ref-type="bibr" rid="CIT0003">3</xref></sup></p>
<p>To understand the extent of effect one&#x2019;s eyesight has on driving performance, researchers carry out studies to identify the magnitude of this link,<sup><xref ref-type="bibr" rid="CIT0004">4</xref></sup> and a team of researchers in Tokyo studied 43 normal subjects and 100 patients with advanced glaucoma in car simulations to examine the role of specific visual subfields in accidents with oncoming cars. Results showed that advanced glaucoma patients had a considerably greater number of collisions than normal patients. With a narrowed visual field, drivers have less visual access to the motorways, which makes them more prone to collisions. According to a study<sup><xref ref-type="bibr" rid="CIT0005">5</xref></sup> conducted with 270 commercial motor drivers in Osun state, 3.3&#x0025; of the drivers were visually impaired<sup><xref ref-type="bibr" rid="CIT0005">5</xref></sup>; a more current study in Osun state found visual impairment in 6.1&#x0025; of 99 drivers.<sup><xref ref-type="bibr" rid="CIT0006">6</xref></sup> The common reported causes of decreased visual acuity (VA) amongst commercial drivers in Nigeria were refractive error and cataract; other causes included glaucoma, corneal scar and posterior segment lesions.<sup><xref ref-type="bibr" rid="CIT0005">5</xref>,<xref ref-type="bibr" rid="CIT0006">6</xref></sup> A study also highlighted that nearly 80&#x0025; of the participants had not had any form of eye test performed prior to the study.<sup><xref ref-type="bibr" rid="CIT0007">7</xref></sup> This is particularly representative of the lacking practice of performing eye examinations before obtaining a driver&#x2019;s licence. A study in northern Nigeria showed a higher prevalence of visual function impairment amongst drivers when compared to studies in southern Nigeria.<sup><xref ref-type="bibr" rid="CIT0008">8</xref></sup> Results obtained for the prevalence of visual impairment in the northern Nigeria study were for VA, visual field and colour vision at 9.1&#x0025;, 19.5&#x0025; and 9.5&#x0025;, respectively, therefore elucidating the impression that eye health awareness is considerably less in the north than in other parts of Nigeria or that there is less access to eye care.</p>
<p>A visual function study in Ghana<sup><xref ref-type="bibr" rid="CIT0009">9</xref></sup> showed that there was a significant association between protanopia and the occurrence of road transport accidents (RTAs). Results also indicated that there was no significant link between visual impairment and the occurrence of RTAs.<sup><xref ref-type="bibr" rid="CIT0010">10</xref>,<xref ref-type="bibr" rid="CIT0011">11</xref></sup> A study in Osun state, Nigeria,<sup><xref ref-type="bibr" rid="CIT0012">12</xref></sup> indicated that there was a visual impairment (VA &#x003C; 6/18) prevalence of 3.3&#x0025; &#x00B1; 2.4 and that there was a significant link between uncorrected VA impairment in the better eye and road accidents. Studies show that poor driver vision may have a significant financial impact on an economy. A report by Republic of South Africa insurance group has discovered that road accidents caused by poor driver visions cost the United Kingdom approximately &#x00A3;33 million and result in about 2900 casualties annually.<sup><xref ref-type="bibr" rid="CIT0013">13</xref></sup> These accidents also put a strain on the healthcare system when hospitals treat car crash victims. Vision-related accidents can be prevented by ensuring motorists take an eye examination at least every 2 years.</p>
<p>It is evident from the studies highlighted that certain visual impairments adversely affect driving abilities. However, the results of some studies conflict because visual impairments and effects on driving in one study may have no effect in another. It is also important to highlight that the majority of these studies were carried out on men and thus is not totally representative of a population; most also did not consider private vehicle drivers. As vision is a vital source of information during driving, having good eyesight is important and adequate measures have to be set up to ensure the safety of motorists and pedestrians. It is therefore necessary that a study of this nature is carried out to fully understand the magnitude of visual impairment amongst commercial and private vehicle drivers. To assess the visual status of drivers and determine if there is a significant association between poor eyesight and driving performance, the Nigerian Optometric Association in collaboration with the FRSC embarked on the drivers&#x2019; vision project in Nigeria.</p>
</sec>
<sec id="s0002">
<title>Methodology</title>
<sec id="s20003">
<title>Study area</title>
<p>The study was carried out in Nigeria across the six geopolitical zones in 27 selected states and the Federal Capital Territory (FCT) Abuja (<xref ref-type="fig" rid="F0001">Figure 1</xref>). A cross-sectional study design was used for this study, using quantitative methods of data collection.</p>
<fig id="F0001">
<label>FIGURE 1</label>
<caption><p>States that participated in the study.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AVEH-79-577-g001.tif"/>
</fig>
</sec>
<sec id="s20004">
<title>Sample size determination and sampling procedure</title>
<p>The sample size of 3521 drivers used for this study was calculated based on 95&#x0025; confidence interval (CI), considering a relative precision of 10&#x0025;, non-response rate of 20&#x0025; and prevalence of visual impairment of 12&#x0025;.<sup><xref ref-type="bibr" rid="CIT0011">11</xref>,<xref ref-type="bibr" rid="CIT0014">14</xref></sup></p>
<p>Using the formula<sup><xref ref-type="bibr" rid="CIT0015">15</xref>,<xref ref-type="bibr" rid="CIT0016">16</xref></sup>:
<disp-formula id="FD1"><alternatives><mml:math display="block" id="M1"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:msup><mml:mi>Z</mml:mi><mml:mn>2</mml:mn></mml:msup><mml:mo stretchy="false">(</mml:mo><mml:mn>1</mml:mn><mml:mo>&#x2212;</mml:mo><mml:mi>P</mml:mi><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mrow><mml:msup><mml:mi>&#x03B5;</mml:mi><mml:mn>2</mml:mn></mml:msup><mml:mi>P</mml:mi></mml:mrow></mml:mfrac></mml:mrow></mml:math><graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AVEH-79-577-e001.tif"/></alternatives><label>[Eqn 1]</label></disp-formula>
<disp-formula id="FD2"><alternatives><mml:math display="block" id="M2"><mml:mtable columnalign="left"><mml:mtr><mml:mtd><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:msup><mml:mrow><mml:mn>1.96</mml:mn></mml:mrow><mml:mn>2</mml:mn></mml:msup><mml:mo stretchy="false">(</mml:mo><mml:mn>1</mml:mn><mml:mo>&#x2212;</mml:mo><mml:mn>0.12</mml:mn><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mrow><mml:msup><mml:mrow><mml:mn>0.1</mml:mn></mml:mrow><mml:mn>2</mml:mn></mml:msup><mml:mo>&#x00D7;</mml:mo><mml:mn>0.12</mml:mn></mml:mrow></mml:mfrac></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>2817</mml:mn></mml:mtd></mml:mtr></mml:mtable></mml:math><graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AVEH-79-577-e002.tif"/></alternatives><label>[Eqn 2]</label></disp-formula></p>
<p>Considering a non-response rate of 20&#x0025;, the final sample size used was 3521 commercial and private car drivers in Nigeria. Of the 3521 drivers recruited for the study, only 3508 (99.6&#x0025;) were examined. Eight questionnaires that did not meet the inclusion criteria were disregarded during data analysis, resulting in 3500 drivers&#x2019; questionnaires that was analysed. Some of the drivers were impatient to wait for their turn. The numbers of questionnaires distributed to the states were based on the populations of the states and the number of optometrists practising in the states who indicated a willingness to participate.</p>
<p>The states were Abia, Anambra, Ebonyi, Enugu and Imo in the south-east geopolitical zone; Akwa Ibom, Bayelsa, Cross River, Delta, Edo and River in the south-south geopolitical zone; Lagos, Ogun, Oyo, Ekiti and Ondo in the south-west; Kano, Kaduna, Jigawa, Sokoto, Zamfara and Kebbi in the north-west; and, Bauchi and Gombe in the north-east. The north-central states were Nasarrawa, Kwara and Niger and the FCT Abuja (<xref ref-type="fig" rid="F0001">Figure 1</xref>). The states cut across the six geopolitical zones in the country. Nine states were excluded because of the following reasons: no practising optometrists in the state, practising optometrists in the state not willing to participate or because of the insecurity of some states in the Federation at the time of this study.</p>
<p>Two strategies were adopted in the selection of the drivers who participated in the study across the 27 states and the FCT Abuja.</p>
<p>With the help of the FRSC, drivers were stopped at a lay-by, where the eye examinations and interviews were conducted. The selection was in no particular order. To encourage participation, the FRSC promised not to request for particulars, which is their usual practice. The second strategy of recruiting the drivers was to approach those who were waiting for their turn to load passengers for the day at selected motor parks. The examinations were carried out during the day between 09:00 and 15:00 in all the 27 selected states and the FCT Abuja.</p>
</sec>
<sec id="s20005">
<title>Data collection procedure</title>
<p>The instrument for data collection was a semi-structured questionnaire made up of four sections. Section A consists of the demographic characteristics of the drivers, including years of driving experience and possession of a driver&#x2019;s licence.</p>
<p>Section B consists of the knowledge and eye-care-seeking practices amongst drivers, including history of last eye examination, history of RTA and place where eye examination was done previously. Data were collected by optometrists who were specifically trained for the purpose of the survey.</p>
<p>Section C consists of a clinical examination carried out by trained optometrists. The following eye examinations were carried out on the respondents: visual acuity test at distant and near using Snellen chart, which was performed in the open; VA of the right and left eyes; colour vision test using Ishihara pseudo-isochromatic colour plates; contrast sensitivity test using Lea contrast sensitivity test chart; confrontational visual fields test; ophthalmoscopy using a direct ophthalmoscope, and external eye examination using a penlight. Refraction was carried out to determine near reading power add. Free reading glasses were given to participants who met the required VA standards for driving in Nigeria, whilst those with visual impairment were referred for further examination and management.</p>
</sec>
<sec id="s20006">
<title>Data management</title>
<p>The IBM SPSS (version 20) statistical software was used for data entry, cleaning and statistical analysis. Frequency distribution tables were generated for categorical variables such as sex, level of education and vehicle type. Visual acuity at distance of the eye with a better VA for drivers at different ages and in different zones and states were compared.</p>
<p>For the comparison of proportions and for testing association in contingency tables, the chi-square statistics was the test of choice. Contingency tables exhibiting low expected values (&#x003C; 5) were reconstructed into four cells and evaluated using Fisher&#x2019;s exact test. Unconditional logistic regression technique was used to evaluate the determinants of RTA whilst controlling for possible confounders. All tests of significance adopted a two-tailed approach.</p>
<p>The study adhered to the ethical principles of the 1967 Helsinki declaration, as modified in Fortaleza 2013, for medical research involving human subjects.<sup><xref ref-type="bibr" rid="CIT0017">17</xref></sup> Ethical approval was obtained from the Nigerian Optometric Association editorial and ethical board. The study was conducted in collaboration with the FRSC of Nigeria and the Federal and States Ministries of Health, Nigeria. Verbal informed consent was obtained from all participants prior to commencement of the study and after the study protocol was explained to them. The instrument for data collection was anonymised, and participants were free to withdraw from the study at any time if they wished to do so.</p>
</sec>
<sec id="s20007">
<title>Ethical consideration</title>
<p>Approval to conduct the study was obtained from the Nigerian Optometric Association Health Research Ethics Committee, NOA/HREC/003/VOL.VI/101, October 2, 2017.</p>
</sec>
</sec>
<sec id="s0008">
<title>Results</title>
<p>The survey involved a total of 3508 respondents from 28 out of 37 states of Nigeria. Eight records were excluded from the analysis (three were under the age of 18, two were over the age of 80 and were not drivers and the remaining three had no vital information on their identity). The mean age of the respondents was 46.3 &#x00B1; 10.9 years with a median of 46.0 years. The age and sex distribution of the respondents by zone is shown in <xref ref-type="table" rid="T0001">Table 1</xref>. The age of the drivers ranged from 18 to 80 years. The majority of the respondents were between the ages of 40 and 49 years. Respondents over 60 years constituted 12.3&#x0025; (431) of the participants. About nine out of 10 respondents were male drivers. There were no female drivers from the north-eastern zone of the country.</p>
<table-wrap id="T0001">
<label>TABLE 1</label>
<caption><p>Driver&#x2019;s characteristics.</p></caption>
<table frame="hsides" rules="groups">
<thead valign="top">
<tr>
<th valign="top" align="left" rowspan="2">Socio-demographic characteristics</th>
<th valign="top" align="center" colspan="2">North-east<hr/></th>
<th valign="top" align="center" colspan="2">North-west<hr/></th>
<th valign="top" align="center" colspan="2">North-central<hr/></th>
<th valign="top" align="center" colspan="2">South-east<hr/></th>
<th valign="top" align="center" colspan="2">South-west<hr/></th>
<th valign="top" align="center" colspan="2">South-south<hr/></th>
<th valign="top" align="center" colspan="2">Total<hr/></th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left" colspan="15"><bold>Age category</bold></td>
</tr>
<tr>
<td align="left">&#x003C; 20 years</td>
<td align="center">1</td>
<td align="center">0.7</td>
<td align="center">2</td>
<td align="center">0.5</td>
<td align="center">0</td>
<td align="center">0.0</td>
<td align="center">2</td>
<td align="center">0.2</td>
<td align="center">1</td>
<td align="center">0.1</td>
<td align="center">1</td>
<td align="center">0.2</td>
<td align="center">7</td>
<td align="center">0.2</td>
</tr>
<tr>
<td align="left">20&#x2013;29 years</td>
<td align="center">15</td>
<td align="center">10.1</td>
<td align="center">16</td>
<td align="center">4.0</td>
<td align="center">68</td>
<td align="center">9.2</td>
<td align="center">43</td>
<td align="center">4.6</td>
<td align="center">17</td>
<td align="center">2.4</td>
<td align="center">45</td>
<td align="center">7.9</td>
<td align="center">204</td>
<td align="center">5.8</td>
</tr>
<tr>
<td align="left">30&#x2013;39 years</td>
<td align="center">31</td>
<td align="center">20.8</td>
<td align="center">52</td>
<td align="center">13.0</td>
<td align="center">202</td>
<td align="center">27.2</td>
<td align="center">176</td>
<td align="center">19.0</td>
<td align="center">98</td>
<td align="center">13.8</td>
<td align="center">126</td>
<td align="center">22.0</td>
<td align="center">685</td>
<td align="center">19.6</td>
</tr>
<tr>
<td align="left">40&#x2013;49 years</td>
<td align="center">50</td>
<td align="center">33.6</td>
<td align="center">149</td>
<td align="center">37.3</td>
<td align="center">246</td>
<td align="center">33.2</td>
<td align="center">316</td>
<td align="center">34.1</td>
<td align="center">272</td>
<td align="center">38.3</td>
<td align="center">215</td>
<td align="center">37.6</td>
<td align="center">1248</td>
<td align="center">35.7</td>
</tr>
<tr>
<td align="left">50&#x2013;59 years</td>
<td align="center">40</td>
<td align="center">26.8</td>
<td align="center">124</td>
<td align="center">31.0</td>
<td align="center">163</td>
<td align="center">22.0</td>
<td align="center">245</td>
<td align="center">26.4</td>
<td align="center">206</td>
<td align="center">29.0</td>
<td align="center">115</td>
<td align="center">20.1</td>
<td align="center">893</td>
<td align="center">25.5</td>
</tr>
<tr>
<td align="left">60&#x2013;69 years</td>
<td align="center">11</td>
<td align="center">7.4</td>
<td align="center">40</td>
<td align="center">10.0</td>
<td align="center">48</td>
<td align="center">6.5</td>
<td align="center">124</td>
<td align="center">13.4</td>
<td align="center">90</td>
<td align="center">12.7</td>
<td align="center">56</td>
<td align="center">9.8</td>
<td align="center">369</td>
<td align="center">10.5</td>
</tr>
<tr>
<td align="left">70+ years</td>
<td align="center">1</td>
<td align="center">0.7</td>
<td align="center">12</td>
<td align="center">3.0</td>
<td align="center">6</td>
<td align="center">0.8</td>
<td align="center">17</td>
<td align="center">1.8</td>
<td align="center">21</td>
<td align="center">3.0</td>
<td align="center">5</td>
<td align="center">0.9</td>
<td align="center">62</td>
<td align="center">1.8</td>
</tr>
<tr>
<td align="left">Not indicated</td>
<td align="center">0</td>
<td align="center">0.0</td>
<td align="center">5</td>
<td align="center">1.3</td>
<td align="center">9</td>
<td align="center">1.2</td>
<td align="center">4</td>
<td align="center">0.4</td>
<td align="center">5</td>
<td align="center">0.7</td>
<td align="center">9</td>
<td align="center">1.6</td>
<td align="center">32</td>
<td align="center">0.9</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="center">149</td>
<td align="center">100.0</td>
<td align="center">400</td>
<td align="center">100.0</td>
<td align="center">142</td>
<td align="center">100.0</td>
<td align="center">927</td>
<td align="center">100.0</td>
<td align="center">710</td>
<td align="center">100.0</td>
<td align="center">572</td>
<td align="center">100.0</td>
<td align="center">3500</td>
<td align="center">100.0</td>
</tr>
<tr>
<td align="left" colspan="15"><bold>Sex</bold></td>
</tr>
<tr>
<td align="left">Male</td>
<td align="center">147</td>
<td align="center">98.7</td>
<td align="center">362</td>
<td align="center">90.5</td>
<td align="center">672</td>
<td align="center">90.6</td>
<td align="center">830</td>
<td align="center">89.5</td>
<td align="center">602</td>
<td align="center">84.8</td>
<td align="center">467</td>
<td align="center">81.6</td>
<td align="center">3080</td>
<td align="center">88.0</td>
</tr>
<tr>
<td align="left">Female</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">23</td>
<td align="center">5.8</td>
<td align="center">60</td>
<td align="center">8.1</td>
<td align="center">81</td>
<td align="center">8.7</td>
<td align="center">97</td>
<td align="center">13.7</td>
<td align="center">98</td>
<td align="center">17.1</td>
<td align="center">359</td>
<td align="center">10.3</td>
</tr>
<tr>
<td align="left">Not indicated</td>
<td align="center">2</td>
<td align="center">1.3</td>
<td align="center">15</td>
<td align="center">3.8</td>
<td align="center">10</td>
<td align="center">1.3</td>
<td align="center">16</td>
<td align="center">1.7</td>
<td align="center">11</td>
<td align="center">1.5</td>
<td align="center">7</td>
<td align="center">1.2</td>
<td align="center">61</td>
<td align="center">1.7</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="center">149</td>
<td align="center">100.0</td>
<td align="center">400</td>
<td align="center">100.0</td>
<td align="center">742</td>
<td align="center">100.0</td>
<td align="center">927</td>
<td align="center">100.0</td>
<td align="center">710</td>
<td align="center">100.0</td>
<td align="center">572</td>
<td align="center">100.0</td>
<td align="center">3500</td>
<td align="center">100.0</td>
</tr>
<tr>
<td align="left" colspan="15"><bold>Highest level of education</bold></td>
</tr>
<tr>
<td align="left">No formal education</td>
<td align="center">34</td>
<td align="center">22.8</td>
<td align="center">77</td>
<td align="center">19.3</td>
<td align="center">49</td>
<td align="center">6.6</td>
<td align="center">17</td>
<td align="center">1.8</td>
<td align="center">20</td>
<td align="center">2.8</td>
<td align="center">7</td>
<td align="center">1.2</td>
<td align="center">204</td>
<td align="center">5.8</td>
</tr>
<tr>
<td align="left">Primary</td>
<td align="center">43</td>
<td align="center">28.9</td>
<td align="center">101</td>
<td align="center">25.3</td>
<td align="center">165</td>
<td align="center">22.2</td>
<td align="center">290</td>
<td align="center">31.3</td>
<td align="center">182</td>
<td align="center">25.6</td>
<td align="center">105</td>
<td align="center">18.4</td>
<td align="center">886</td>
<td align="center">25.3</td>
</tr>
<tr>
<td align="left">Secondary</td>
<td align="center">56</td>
<td align="center">37.6</td>
<td align="center">121</td>
<td align="center">30.3</td>
<td align="center">274</td>
<td align="center">36.9</td>
<td align="center">384</td>
<td align="center">41.4</td>
<td align="center">344</td>
<td align="center">48.5</td>
<td align="center">252</td>
<td align="center">44.1</td>
<td align="center">1431</td>
<td align="center">409</td>
</tr>
<tr>
<td align="left">Tertiary</td>
<td align="center">13</td>
<td align="center">8.7</td>
<td align="center">91</td>
<td align="center">22.8</td>
<td align="center">238</td>
<td align="center">32.1</td>
<td align="center">213</td>
<td align="center">23.0</td>
<td align="center">150</td>
<td align="center">21.1</td>
<td align="center">205</td>
<td align="center">35.8</td>
<td align="center">910</td>
<td align="center">26.0</td>
</tr>
<tr>
<td align="left">Not indicated</td>
<td align="center">3</td>
<td align="center">2.0</td>
<td align="center">10</td>
<td align="center">2.5</td>
<td align="center">16</td>
<td align="center">2.2</td>
<td align="center">23</td>
<td align="center">2.5</td>
<td align="center">14</td>
<td align="center">2.0</td>
<td align="center">3</td>
<td align="center">0.5</td>
<td align="center">69</td>
<td align="center">2.0</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="center">149</td>
<td align="center">100.0</td>
<td align="center">400</td>
<td align="center">100.0</td>
<td align="center">742</td>
<td align="center">100.0</td>
<td align="center">927</td>
<td align="center">100.0</td>
<td align="center">710</td>
<td align="center">100.0</td>
<td align="center">572</td>
<td align="center">100.0</td>
<td align="center">3500</td>
<td align="center">100.0</td>
</tr>
<tr>
<td align="left" colspan="15"><bold>Vehicle type</bold></td>
</tr>
<tr>
<td align="left">Commercial</td>
<td align="center">121</td>
<td align="center">81.2</td>
<td align="center">216</td>
<td align="center">54.0</td>
<td align="center">385</td>
<td align="center">51.9</td>
<td align="center">564</td>
<td align="center">60.8</td>
<td align="center">455</td>
<td align="center">64.1</td>
<td align="center">238</td>
<td align="center">41.6</td>
<td align="center">1979</td>
<td align="center">56.5</td>
</tr>
<tr>
<td align="left">Private</td>
<td align="center">10</td>
<td align="center">6.7</td>
<td align="center">126</td>
<td align="center">54.0</td>
<td align="center">244</td>
<td align="center">32.9</td>
<td align="center">259</td>
<td align="center">27.9</td>
<td align="center">159</td>
<td align="center">22.4</td>
<td align="center">267</td>
<td align="center">46.7</td>
<td align="center">1067</td>
<td align="center">30.5</td>
</tr>
<tr>
<td align="left">Not indicated</td>
<td align="center">18</td>
<td align="center">12.1</td>
<td align="center">56</td>
<td align="center">14.0</td>
<td align="center">113</td>
<td align="center">15.2</td>
<td align="center">104</td>
<td align="center">11.2</td>
<td align="center">96</td>
<td align="center">13.5</td>
<td align="center">67</td>
<td align="center">11.7</td>
<td align="center">454</td>
<td align="center">13.0</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="center">149</td>
<td align="center">100.0</td>
<td align="center">400</td>
<td align="center">100.0</td>
<td align="center">742</td>
<td align="center">100.0</td>
<td align="center">927</td>
<td align="center">100.0</td>
<td align="center">710</td>
<td align="center">100.0</td>
<td align="center">572</td>
<td align="center">100.0</td>
<td align="center">3500</td>
<td align="center">100.0</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Literacy is an important attribute of a driver. A literate driver is able to read and interpret road signs and safety manuals, to appreciate the importance of road safety regulations and more likely to comply accordingly. Of the 3500 respondents, about 41&#x0025; had attained up to secondary level of education. About one in four (26&#x0025;) of the respondents have had a university education.</p>
<p>Educational status varied significantly by zone (<italic>p</italic> &#x003C; 0.01). In the south-south zone, over one-third (35.8&#x0025;) of the drivers either were university graduates or had attended a university, whereas in the north-east zone less than 10&#x0025; had attained that level. In the southern part of the country, only 1&#x0025; &#x2013; 2&#x0025; were without formal education, whereas in the north, about 20&#x0025; never had any formal education. The majority of the drivers (56.5&#x0025;) in the survey operated commercial vehicles, and this was consistent throughout the zones, except in the south-south region, where most of the drivers operated privately owned vehicles.</p>
<p>Drivers with a licence were asked if their eyes were tested before being issued the document. Of the 2770 drivers with licence, only 1241 (44.8&#x0025;) reported in the affirmative. There were significant differences between states in the proportion of drivers who went for an eye test. In Bauchi, over 80&#x0025; of the drivers went for an eye test, whereas in Ekiti, less than a third (27.3&#x0025;) of the drivers did so (<xref ref-type="fig" rid="F0002">Figure 2</xref>). Of the 2989 drivers with VA assessed at distance, 225 (7.5&#x0025;) were visually impaired (presenting VA &#x003C; 6/12 in the better eye), whilst 118 (3.9&#x0025;) had vision less than 6/18 in the better eye (<xref ref-type="table" rid="T0002">Table 2</xref>). The prevalence of visual impairment (presenting VA &#x003C; 6/12 in the better eye) was higher amongst male drivers (7.7&#x0025;) than their female counterparts (6.5&#x0025;), but the difference was not statistically significant (<italic>p</italic> = 0.471). The number of drivers with VA &#x003C; 6/18 in the better eye was 118 (3.9&#x0025;), whilst that of drivers with VA &#x003C; 6/60 in the better eye was 4 (0.1&#x0025;). The number of drivers with monocular blindness was 25 (0.8&#x0025;), with north-west zone having the highest prevalence (<xref ref-type="table" rid="T0002">Table 2</xref>).</p>
<fig id="F0002">
<label>FIGURE 2</label>
<caption><p>Percentage of drivers with a licence who had undergone an eye test before issuance of the document.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AVEH-79-577-g002.tif"/>
</fig>
<table-wrap id="T0002">
<label>TABLE 2</label>
<caption><p>Visual status of drivers by zone (presenting visual acuity in better eye).</p></caption>
<table frame="hsides" rules="groups">
<thead valign="top">
<tr>
<th valign="top" align="left" rowspan="2">Visual status</th>
<th valign="top" align="center" colspan="2">North-east<hr/></th>
<th valign="top" align="center" colspan="2">North-west<hr/></th>
<th valign="top" align="center" colspan="2">North-central<hr/></th>
<th valign="top" align="center" colspan="2">South-east<hr/></th>
<th valign="top" align="center" colspan="2">South-west<hr/></th>
<th valign="top" align="center" colspan="2">South-south<hr/></th>
<th valign="top" align="center" colspan="2">Total<hr/></th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Good on the better eye</td>
<td align="center">104</td>
<td align="center">91.2</td>
<td align="center">207</td>
<td align="center">91.1</td>
<td align="center">564</td>
<td align="center">94.5</td>
<td align="center">717</td>
<td align="center">90.4</td>
<td align="center">600</td>
<td align="center">91.6</td>
<td align="center">472</td>
<td align="center">95.7</td>
<td align="center">2764</td>
<td align="center">92.5</td>
</tr>
<tr>
<td align="left">Mildly impaired</td>
<td align="center">7</td>
<td align="center">6.1</td>
<td align="center">11</td>
<td align="center">3.3</td>
<td align="center">19</td>
<td align="center">3.2</td>
<td align="center">44</td>
<td align="center">5.5</td>
<td align="center">16</td>
<td align="center">2.4</td>
<td align="center">10</td>
<td align="center">2</td>
<td align="center">107</td>
<td align="center">3.6</td>
</tr>
<tr>
<td align="left">Moderately impaired</td>
<td align="center">2</td>
<td align="center">1.8</td>
<td align="center">17</td>
<td align="center">5</td>
<td align="center">14</td>
<td align="center">2.3</td>
<td align="center">32</td>
<td align="center">4</td>
<td align="center">38</td>
<td align="center">5.8</td>
<td align="center">11</td>
<td align="center">2.2</td>
<td align="center">114</td>
<td align="center">3.8</td>
</tr>
<tr>
<td align="left">Blind on the better eye</td>
<td align="center">1</td>
<td align="center">0.9</td>
<td align="center">2</td>
<td align="center">0.6</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0.2</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">4</td>
<td align="center">0.1</td>
</tr>
<tr>
<td align="left" colspan="15"><hr/></td>
</tr>
<tr>
<td align="left"><bold>Total</bold></td>
<td align="center"><bold>114</bold></td>
<td align="center"><bold>-</bold></td>
<td align="center"><bold>337</bold></td>
<td align="center"><bold>-</bold></td>
<td align="center"><bold>597</bold></td>
<td align="center"><bold>-</bold></td>
<td align="center"><bold>793</bold></td>
<td align="center"><bold>-</bold></td>
<td align="center"><bold>655</bold></td>
<td align="center"><bold>-</bold></td>
<td align="center"><bold>493</bold></td>
<td align="center"><bold>-</bold></td>
<td align="center"><bold>2989</bold></td>
<td align="center"><bold>-</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Note: Presenting visual acuity in the better eye: normal/good or no impairment &#x2265; 6/12 (0.3 LogMar); mild visual impairment &#x003C; 6/12&#x2013;6/18; moderate visual impairment &#x003C; 6/18&#x2013;6/60; blind/severe blind &#x003C; 6/60 to no light perception.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The prevalence of visual impairment by age is shown in <xref ref-type="fig" rid="F0003">Figure 3</xref>. The prevalence followed a J-shaped distribution with prevalence higher in the 20&#x2013;29 years age group than in the subsequent age group but increasing thereafter with increasing age. Visual impairment was most commonly observed amongst drivers from the south-eastern zone (9.6&#x0025;), followed by those in the north-west and north-east zones and least amongst those in the south-south zone (4.3&#x0025;) (<xref ref-type="fig" rid="F0004">Figure 4</xref>).</p>
<fig id="F0003">
<label>FIGURE 3</label>
<caption><p>Prevalence of visual impairment by age group.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AVEH-79-577-g003.tif"/>
</fig>
<fig id="F0004">
<label>FIGURE 4</label>
<caption><p>Prevalence of visual impairment by zone.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AVEH-79-577-g004.tif"/>
</fig>
<p>A total of 3137 drivers responded to the question on history of RTAs and 259 (8.3&#x0025;) gave a positive history (<xref ref-type="table" rid="T0003">Table 3</xref>). History of RTA did not vary significantly with zone (<italic>p</italic> = 0.846). Road traffic accident was common amongst male drivers (8.4&#x0025;) than their female counterparts (7.1&#x0025;), but the difference was not statistically significant (<xref ref-type="table" rid="T0004">Table 4</xref>). At the bivariate level of analysis, level of education, possession of a driving licence, sex or years of driving experience were not significantly associated with the history of RTA (<xref ref-type="table" rid="T0003">Tables 3</xref> and <xref ref-type="table" rid="T0004">4</xref>). Age of the driver showed a marginal significant association with RTA (<italic>p</italic> = 0.058) (<xref ref-type="table" rid="T0003">Table 3</xref>).</p>
<table-wrap id="T0003">
<label>TABLE 3</label>
<caption><p>Reported prevalence of road traffic accidents by zones and age group.</p></caption>
<table frame="hsides" rules="groups">
<thead valign="top">
<tr>
<th valign="top" align="left" rowspan="2">Variables</th>
<th valign="top" align="center" colspan="2">Drivers with no history of RTA<hr/></th>
<th valign="top" align="center" colspan="2">Drivers with history of RTA<hr/></th>
<th valign="top" align="center" colspan="2">Total<hr/></th>
<th valign="top" align="center" rowspan="2"><italic>&#x03C7;</italic><sup><xref ref-type="bibr" rid="CIT0002">2</xref></sup></th>
<th valign="top" align="center" rowspan="2"><italic>p</italic></th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left"><bold>Zone</bold></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="center">2.021</td>
<td align="center">0.846</td>
</tr>
<tr>
<td align="left">North-east</td>
<td align="center">133</td>
<td align="center">91.7</td>
<td align="center">12</td>
<td align="center">8.3</td>
<td align="center">145</td>
<td align="center">100.0</td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr>
<td align="left">North-west</td>
<td align="center">316</td>
<td align="center">91.3</td>
<td align="center">30</td>
<td align="center">8.7</td>
<td align="center">346</td>
<td align="center">100.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">North-central</td>
<td align="center">613</td>
<td align="center">90.5</td>
<td align="center">64</td>
<td align="center">9.5</td>
<td align="center">677</td>
<td align="center">100.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">South-east</td>
<td align="center">752</td>
<td align="center">92.4</td>
<td align="center">62</td>
<td align="center">7.6</td>
<td align="center">814</td>
<td align="center">100.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">South-west</td>
<td align="center">577</td>
<td align="center">92.2</td>
<td align="center">49</td>
<td align="center">7.8</td>
<td align="center">626</td>
<td align="center">100.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">South-south</td>
<td align="center">487</td>
<td align="center">92.1</td>
<td align="center">42</td>
<td align="center">7.9</td>
<td align="center">529</td>
<td align="center">100.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="center">2878</td>
<td align="center">91.7</td>
<td align="center">259</td>
<td align="center">8.3</td>
<td align="center">3137</td>
<td align="center">100.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Age group</bold></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="center">12.204</td>
<td align="center">0.058</td>
</tr>
<tr>
<td align="left">&#x003C; 20 years</td>
<td align="center">7</td>
<td align="center">100.0</td>
<td align="center">0</td>
<td align="center">0.0</td>
<td align="center">7</td>
<td align="center">100.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">20&#x2013;29 years</td>
<td align="center">158</td>
<td align="center">86.3</td>
<td align="center">25</td>
<td align="center">13.7</td>
<td align="center">183</td>
<td align="center">100.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">35&#x2013;39 years</td>
<td align="center">579</td>
<td align="center">92.3</td>
<td align="center">48</td>
<td align="center">7.7</td>
<td align="center">627</td>
<td align="center">100.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">40&#x2013;49 years</td>
<td align="center">1026</td>
<td align="center">91.0</td>
<td align="center">102</td>
<td align="center">9.0</td>
<td align="center">1128</td>
<td align="center">100.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">50&#x2013;59 years</td>
<td align="center">744</td>
<td align="center">93.0</td>
<td align="center">56</td>
<td align="center">7.0</td>
<td align="center">800</td>
<td align="center">100.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">60&#x2013;69 years</td>
<td align="center">298</td>
<td align="center">92.5</td>
<td align="center">24</td>
<td align="center">7.5</td>
<td align="center">322</td>
<td align="center">100.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">70+ years</td>
<td align="center">50</td>
<td align="center">96.2</td>
<td align="center">2</td>
<td align="center">3.8</td>
<td align="center">52</td>
<td align="center">100.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="center">2862</td>
<td align="center">91.8</td>
<td align="center">257</td>
<td align="center">8.2</td>
<td align="center">3119</td>
<td align="center">100.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Highest level of education</bold></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="center">1.720</td>
<td align="center">0.632</td>
</tr>
<tr>
<td align="left">No formal education</td>
<td align="center">13</td>
<td align="center">7.4</td>
<td align="center">182</td>
<td align="center">92.6</td>
<td align="center">175</td>
<td align="center">100.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Primary</td>
<td align="center">61</td>
<td align="center">7.6</td>
<td align="center">743</td>
<td align="center">92.4</td>
<td align="center">804</td>
<td align="center">100.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Secondary</td>
<td align="center">115</td>
<td align="center">9.0</td>
<td align="center">1165</td>
<td align="center">91.0</td>
<td align="center">1280</td>
<td align="center">100.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Tertiary</td>
<td align="center">65</td>
<td align="center">7.8</td>
<td align="center">764</td>
<td align="center">92.2</td>
<td align="center">829</td>
<td align="center">100.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="center">254</td>
<td align="center">8.2</td>
<td align="center">2834</td>
<td align="center">91.8</td>
<td align="center">3088</td>
<td align="center">100.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>RTA, road traffic accident.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T0004">
<label>TABLE 4</label>
<caption><p>Association between selected driver characteristics and history of road traffic accident.</p></caption>
<table frame="hsides" rules="groups">
<thead valign="top">
<tr>
<th valign="top" align="left" rowspan="2">Driver characteristics</th>
<th valign="top" align="center" colspan="2">Drivers with RTA<hr/></th>
<th valign="top" align="center" rowspan="2">OR</th>
<th valign="top" align="center" rowspan="2">95&#x0025; CI</th>
<th valign="top" align="center" rowspan="2"><italic>&#x03C7;</italic>2</th>
<th valign="top" align="center" rowspan="2"><italic>p</italic></th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left" colspan="7"><bold>Driving licence</bold></td>
</tr>
<tr>
<td align="left">Without driving licence, <italic>n</italic> = 469</td>
<td align="center">49</td>
<td align="center">10.4</td>
<td align="center">1.38</td>
<td align="center">0.99&#x2013;1.92</td>
<td align="center">3.72</td>
<td align="center">0.054</td>
</tr>
<tr>
<td align="left">With driving licence, <italic>n</italic> = 2579</td>
<td align="center">201</td>
<td align="center">7.8</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr>
<td align="left" colspan="7"><bold>Visual impairment</bold></td>
</tr>
<tr>
<td align="left">No impairment, <italic>n</italic> = 2525</td>
<td align="center">205</td>
<td align="center">8.1</td>
<td align="center">1.44</td>
<td align="center">0.90&#x2013;2.29</td>
<td align="center">2.37</td>
<td align="center">0.124</td>
</tr>
<tr>
<td align="left">Impaired, <italic>n</italic> = 195</td>
<td align="center">22</td>
<td align="center">11.3</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr>
<td align="left" colspan="7"><bold>Sex</bold></td>
</tr>
<tr>
<td align="left">Male, <italic>n</italic> = 2821</td>
<td align="center">236</td>
<td align="center">8.4</td>
<td align="center">1.20</td>
<td align="center">0.74&#x2013;1.95</td>
<td align="center">0.55</td>
<td align="center">0.458</td>
</tr>
<tr>
<td align="left">Female, <italic>n</italic> = 269</td>
<td align="center">19</td>
<td align="center">7.1</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr>
<td align="left" colspan="7"><bold>Vehicle type</bold></td>
</tr>
<tr>
<td align="left">Commercial, <italic>n</italic> = 1820</td>
<td align="center">158</td>
<td align="center">8.7</td>
<td align="center">1.09</td>
<td align="center">0.82&#x2013;1.45</td>
<td align="center">0.53</td>
<td align="center">0.570</td>
</tr>
<tr>
<td align="left">Private, <italic>n</italic> = 988</td>
<td align="center">79</td>
<td align="center">8.0</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr>
<td align="left" colspan="7"><bold>Contrast sensitivity</bold></td>
</tr>
<tr>
<td align="left">Abnormal, <italic>n</italic> = 131</td>
<td align="center">15</td>
<td align="center">11.5</td>
<td align="center">1.45</td>
<td align="center">0.79&#x2013;2.62</td>
<td align="center">1.69</td>
<td align="center">0.193</td>
</tr>
<tr>
<td align="left">Normal, <italic>n</italic> = 1809</td>
<td align="center">148</td>
<td align="center">8.2</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr>
<td align="left" colspan="7"><bold>Colour</bold></td>
</tr>
<tr>
<td align="left">Abnormal, <italic>n</italic> = 97</td>
<td align="center">15</td>
<td align="center">15.5</td>
<td align="center">2.14</td>
<td align="center">1.2&#x2013;3.84</td>
<td align="center">7.11</td>
<td align="center">0.008</td>
</tr>
<tr>
<td align="left">Normal, <italic>n</italic> = 2123</td>
<td align="center">167</td>
<td align="center">7.9</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr>
<td align="left" colspan="7"><bold>Ophthalmoscopy</bold></td>
</tr>
<tr>
<td align="left">Abnormal, <italic>n</italic> = 259</td>
<td align="center">28</td>
<td align="center">10.8</td>
<td align="center">1.4</td>
<td align="center">0.89&#x2013;2.19</td>
<td align="center">2.38</td>
<td align="center">0.123</td>
</tr>
<tr>
<td align="left">Normal, <italic>n</italic> = 1744</td>
<td align="center">139</td>
<td align="center">8.0</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr>
<td align="left" colspan="7"><bold>Confrontation</bold></td>
</tr>
<tr>
<td align="left">Abnormal, <italic>n</italic> = 122</td>
<td align="center">14</td>
<td align="center">11.5</td>
<td align="center">1.44</td>
<td align="center">0.80&#x2013;2.57</td>
<td align="center">1.49</td>
<td align="center">0.222</td>
</tr>
<tr>
<td align="left">Normal, <italic>n</italic> = 1750</td>
<td align="center">145</td>
<td align="center">8.3</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>RTA, road traffic accident; OR, odds ratio; CI, confidence interval.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The multiple logistic regression analysis showed that, considering several confounders, visual impairment and age were significant predictors of RTA. Drivers with visual impairment were nearly two times (adjusted odds ratio [AOR], 1.7; 95&#x0025; CI, 1.06&#x2013;2.77) more likely to be involved in RTA compared with those without impairment (<xref ref-type="table" rid="T0005">Table 5</xref>).</p>
<table-wrap id="T0005">
<label>TABLE 5</label>
<caption><p>Logistic regression analysis showing relationship between some independent characteristics and occurrence of road traffic accident.</p></caption>
<table frame="hsides" rules="groups">
<thead valign="top">
<tr>
<th valign="top" align="left">Term</th>
<th valign="top" align="center">Odds ratio</th>
<th valign="top" align="center">95&#x0025; CI</th>
<th valign="top" align="center">Coefficient</th>
<th valign="top" align="center">SE</th>
<th valign="top" align="center"><italic>Z</italic>-statistic</th>
<th valign="top" align="center"><italic>p</italic></th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age</td>
<td align="center">0.9809</td>
<td align="center">0.9675&#x2013;0.9945</td>
<td align="center">&#x2212;0.0193</td>
<td align="center">0.007</td>
<td align="center">&#x2212;2.7441</td>
<td align="center">0.0061</td>
</tr>
<tr>
<td align="left">Impaired (Yes/No)</td>
<td align="center">1.712</td>
<td align="center">1.0577&#x2013;2.7712</td>
<td align="center">0.5377</td>
<td align="center">0.2457</td>
<td align="center">2.1881</td>
<td align="center">0.0287</td>
</tr>
<tr>
<td align="left">Educational level</td>
<td align="center">0.9917</td>
<td align="center">0.836&#x2013;1.1765</td>
<td align="center">&#x2212;0.0083</td>
<td align="center">0.0872</td>
<td align="center">&#x2212;0.0952</td>
<td align="center">0.9241</td>
</tr>
<tr>
<td align="left">Sex</td>
<td align="center">1.2288</td>
<td align="center">0.7273&#x2013;2.0762</td>
<td align="center">0.206</td>
<td align="center">0.2676</td>
<td align="center">0.7699</td>
<td align="center">0.4413</td>
</tr>
<tr>
<td align="left">Constant</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x2212;1.7419</td>
<td align="center">0.5175</td>
<td align="center">&#x2212;3.3661</td>
<td align="center">0.0008</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>CI, confidence interval; SE, standard error.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s0009">
<title>Discussion</title>
<p>This study covered 27 of the 36 states in the country. To our knowledge, this is the first study in the country on drivers&#x2019; visual status with such a wide national coverage. In Nigeria and most other countries, RTAs are a daily occurrence, resulting in increase in morbidity and mortality rates, as well as financial cost to the parties involved and the society at large. Driving generally requires sensory (visual), mental, motor and compensatory abilities.<sup><xref ref-type="bibr" rid="CIT0012">12</xref></sup> The ability to see is a paramount component of safe driving because driving relies on vision for its successful execution.<sup><xref ref-type="bibr" rid="CIT0008">8</xref></sup></p>
<p>We observed a prevalence of visual impairment of 7.5&#x0025; (VA of &#x003C; 6/12 in the better eye) amongst the drivers. However, using the FRSC minimum standards for a driving licence in Nigeria (presenting VA of &#x003C; 6/9 in the better eye and worse than 6/24 in the other eye), the prevalence of visual impairment amongst commercial drivers was 14.9&#x0025;. Our findings agree with a study in Ilorin, where the percentage of drivers with visual impairment was 11.5&#x0025; according to FRSC standard.<sup><xref ref-type="bibr" rid="CIT0014">14</xref></sup> A study in north-central Nigeria found that 90.9&#x0025; of the respondents had adequate VA based on the FRSC standards for commercial driving in Nigeria. This put the prevalence of visual impairment for the study population at 9.1&#x0025;.<sup><xref ref-type="bibr" rid="CIT0008">8</xref></sup> Various studies have however reported lower prevalence of VA &#x003C; 6/18 amongst drivers than the 3.9&#x0025; recorded in this study. In a study on the effects of stimulants on visual functions and occurrence of RTAs, Oladehinde et al.<sup><xref ref-type="bibr" rid="CIT0012">12</xref></sup> observed 3.3&#x0025; prevalence of visual impairment (VA &#x003C; 6/18). In Port-Harcourt, Pepple and Adio found the prevalence of visual impairment (VA &#x003C; 6/18) to be as low as 1.8&#x0025;,<sup><xref ref-type="bibr" rid="CIT0010">10</xref></sup> and a study in Jos observed 3.1&#x0025; prevalence of visual impairment.<sup><xref ref-type="bibr" rid="CIT0018">18</xref></sup> A study in Ghana found prevalence of visual impairment to be 6.8&#x0025;.<sup><xref ref-type="bibr" rid="CIT0011">11</xref></sup></p>
<p>Significantly higher prevalence has been reported in many other studies. The prevalence of visual impairment amongst heavy truck drivers was 64&#x0025; in a study performed in Nagpur, India.<sup><xref ref-type="bibr" rid="CIT0019">19</xref></sup> A study in Owerri reported that 80&#x0025; of the commercial vehicle drivers had abnormal VA<sup><xref ref-type="bibr" rid="CIT0020">20</xref></sup> protocol. A similar study in Ilorin reported 11.5&#x0025; prevalence of visual impairment amongst commercial drivers.<sup><xref ref-type="bibr" rid="CIT0014">14</xref></sup></p>
<p>It is apparent from these results that visual impairment varies from place to place and from person to person probably because of environmental exposures and host characteristics. However, some of the reported disparities may be accounted for by differences in criteria and definition of impairment. For purposes of comparability, the FRSC standard could be the gold standard for our inter-state comparison in Nigeria and the WHO standard could be used for the general population for international comparisons.</p>
<p>A driver&#x2019;s licence is an official document permitting a specific individual to operate one or more types of motorised vehicles, such as a motorcycle, car, truck or bus on a public road. In Nigeria, it is a contravention of the Federal Road Safety Act for a driver to be on a road without the driver being in possession of a valid driving licence or any other licence or permit required by law. It was observed from this study that although more than 75&#x0025; had a driving licence, nearly half of the drivers in Niger and Lagos states did not possess the document. Of the several reasons that may be put forth for explaining this anomaly is the tedious process of acquiring the document in various states, particularly Lagos. A study by Cleen Foundation<sup><xref ref-type="bibr" rid="CIT0021">21</xref></sup> in five states of the country documented several challenges facing driving licence applicants, which included the long and slow processing time, extortion by touts, issuance of fake licences by touts or agents and touting for driving licence applicants by FRSC official&#x2019;s contrary to their code of ethics.</p>
<p>However, our finding on the possession of a driving licence is contrary to those of other studies. In the Port Harcourt study, almost all drivers (97&#x0025;) possessed the document, whilst in Ilorin, only 0.5&#x0025; of the drivers were driving without a licence.<sup><xref ref-type="bibr" rid="CIT0010">10</xref>,<xref ref-type="bibr" rid="CIT0014">14</xref></sup> As a matter of serious concern, we observed a low percentage of eye examinations being performed before the issuance of a driving licence. In our study, nearly half of the drivers (46.5&#x0025;) had never had their eyes examined. Other studies corroborate this finding.<sup><xref ref-type="bibr" rid="CIT0008">8</xref>,<xref ref-type="bibr" rid="CIT0010">10</xref>,<xref ref-type="bibr" rid="CIT0022">22</xref></sup> Worse still, a study in Ilorin observed that only 27.7&#x0025; of respondents had their eyes examined before issuance of a driving licence.<sup><xref ref-type="bibr" rid="CIT0012">12</xref></sup> Several studies have demonstrated that a high frequency of drivers had never had an eye examination performed before the issuance of a driving licence. Amongst these is another study carried out in Ilorin that observed that 84.5&#x0025; of the drivers had never had an eye examination performed before issuance of a licence.<sup><xref ref-type="bibr" rid="CIT0014">14</xref></sup></p>
<p>About 8.3&#x0025; of the drivers reported prior history of RTA. This result is significantly less than the prevalence of history of RTAs observed in other studies, which has been as high as 15.3&#x0025;,<sup><xref ref-type="bibr" rid="CIT0022">22</xref></sup> 16.2&#x0025;,<sup><xref ref-type="bibr" rid="CIT0023">23</xref></sup> 19.5&#x0025;,<sup><xref ref-type="bibr" rid="CIT0012">12</xref></sup> 20.8&#x0025;,<sup><xref ref-type="bibr" rid="CIT0014">14</xref></sup> 22.5&#x0025;,<sup><xref ref-type="bibr" rid="CIT0024">24</xref></sup> 26.2&#x0025;,<sup><xref ref-type="bibr" rid="CIT0018">18</xref></sup> 26.5&#x0025;<sup><xref ref-type="bibr" rid="CIT0008">8</xref></sup> and 45.5&#x0025;.<sup><xref ref-type="bibr" rid="CIT0010">10</xref></sup> This marked disparity may be attributed to the differences in the characteristics of the study populations. In our study, respondents were from a fairly random sample of drivers (commercial and private) from nearly all states of the federation, whereas in many other previous studies, respondents were purposefully commercial, government or private drivers in a particular city. Government drivers are generally assumed to be more careful and, in comparison, probably spent less time on the road than commercial and long-distance drivers. Another difficulty in the comparability of results may arise from the ways in which questions about accidents were framed.</p>
<p>On multiple logistic regression, analysis showed that visual impairment and age were significant predictors of RTA. Drivers with visual impairment were about two times (AOR, 1.7; 95&#x0025; CI, 1.06&#x2013;2.77) more likely to be involved in RTA compared with those without impairment. This corroborates past studies that demonstrated a statistically significant association between visual impairment and RTA involvement.<sup><xref ref-type="bibr" rid="CIT0008">8</xref>,<xref ref-type="bibr" rid="CIT0012">12</xref>,<xref ref-type="bibr" rid="CIT0020">20</xref>,<xref ref-type="bibr" rid="CIT0023">23</xref></sup></p>
<p>However, several studies in the literature found no statistically significant relationship between visual impairment and RTA.<sup><xref ref-type="bibr" rid="CIT0010">10</xref>,<xref ref-type="bibr" rid="CIT0011">11</xref>,<xref ref-type="bibr" rid="CIT0014">14</xref></sup> The difference in the findings of the present study and the aforementioned studies where no association was found between visual impairment and RTA perhaps could be attributed to the fact that many of these studies were descriptive in design and were not sufficiently powered to test hypotheses. Furthermore, strategies for handling confounders either at the design or analysis stage were rarely addressed.</p>
<p>Akateeba and Gyimah observed an association between age and violations of traffic rules, resulting in an increase in RTAs.<sup><xref ref-type="bibr" rid="CIT0025">25</xref></sup> This is similar to our findings and those of other studies, where age was identified as a predictor for RTAs.<sup><xref ref-type="bibr" rid="CIT0024">24</xref></sup> It is common knowledge that there are other human and non-human factors that contribute to RTA. We therefore recommended a study that would look at the attributable risk of all factors (human and non-human) responsible for RTA in Nigeria. In this study, the visual field of participants was assessed using the confrontational method, which is a limitation. Visual field analyser should be considered in future research.</p>
</sec>
<sec id="s0010">
<title>Conclusion</title>
<p>This survey has shown a high prevalence of vision impairment amongst Nigerian drivers and that drivers with visual impairment were nearly two times more likely to be involved in RTA when compared with those without impairment.</p>
<p>The FRSC should work in collaboration with the Nigerian Optometric Association and other stakeholders to ensure that driving vision standards are maintained and reviewed as necessary.</p>
<p>We recommend, amongst other conditions, a vision of 6/12 (0.5, 20/40) or better in each eye or both eyes together (with corrective lenses if usually worn or required) on a well-illuminated, standard VA chart as one of the criteria for driving in Nigeria.</p>
<p>An eye health education campaign should be included in the regular sensitisation programmes organised by FRSC and should not be limited to commercial drivers only.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>The authors thank the Nigerian Optometric Association board and members for providing financial, human and material support. They also thank the Federal Road Safety Commission of Nigeria for participating and collaborating with the Nigerian Optometric Association and the Federal and State Ministries of Health for collaborating.</p>
<sec id="s20011" sec-type="COI-statement">
<title>Competing interests</title>
<p>There are no competing interests to declare.</p>
</sec>
<sec id="s20012">
<title>Authors&#x2019; contributions</title>
<p>B.N.E. was the lead author who researched and coordinated this study with D.E., who initiated the research. E.E. analysed the data and supported the human and material resources.</p>
</sec>
<sec id="s20013">
<title>Funding information</title>
<p>Financial support from the Nigerian Optometric Association (NOA) came in the form of payment for material support like printing of questionnaires and reading glasses for drivers. Members of the NOA provided free services with their equipment.</p>
</sec>
<sec id="s20014">
<title>Data availability statement</title>
<p>All data is contained in the article.</p>
</sec>
<sec id="s20015">
<title>Disclaimer</title>
<p>The views and opinions expressed in this article are those of the authors and do not necessarily reflect the official policy or position of any affiliated agency of the authors.</p>
</sec>
</ack>
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<fn><p><bold>How to cite this article:</bold> Ekpenyong BN, Echendu D, Ekanem E. Visual health status and its relationship with road traffic accidents amongst Nigerian vehicle drivers: A publication of the Nigerian Optometric Association. Afr Vision Eye Health. 2020;79(1), a577. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4102/aveh.v79i1.577">https://doi.org/10.4102/aveh.v79i1.577</ext-link></p></fn>
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