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Demographic factors associated with myopia knowledge, attitude and preventive practices among adults in Ghana: a population-based cross-sectional survey
Purpose Knowledge, positive attitude and good preventive practices are keys to successful myopia control, but information on these is lacking in Africa. This study determined the KAP on myopia in Ghana. Methods This was a population-based cross-sectional survey conducted among adults (aged 18 years...
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Published in: | BMC public health 2023-09, Vol.23 (1), p.1-1712, Article 1712 |
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creator | Osuagwu, Uchechukwu L Ocansey, Stephen Ndep, Antor O Kyeremeh, Sylvester Ovenseri-Ogbomo, Godwin Ekpenyong, Bernadine N Agho, Kingsley E Ekure, Edgar Mashige, Khathutshelo Percy Ogbuehi, Kelechi C Rasengane, Tuwani Nkansah, Nana Darkoah Naidoo, Kovin Shunmugan |
description | Purpose Knowledge, positive attitude and good preventive practices are keys to successful myopia control, but information on these is lacking in Africa. This study determined the KAP on myopia in Ghana. Methods This was a population-based cross-sectional survey conducted among adults (aged 18 years and older) living across 16 regions of Ghana between May and October 2021. Data on socio-demographic factors (sex, age, gender, level of education, working status, type of employment, monthly income, and region of residence), respondents' awareness, and knowledge, attitude and preventive practices (KAP) about myopia were collected. Composite and mean scores were calculated from eleven knowledge (total score = 61), eight attitude (48), and nine preventive practice items (33). Differences in mean scores were assessed using one-way analysis of variance (ANOVA) and standardized coefficients ([beta]) with 95% confidence intervals (CI), using multiple linear regression to determine the associations between the dependent (KAP) and demographic variables. Results Of the 1,919 participants, mean age was 37.4 [+ or -] 13.4 years, 42.3% were aged 18-30 years, 52.6% were men, 55.8% had completed tertiary education, and 49.2% had either heard about myopia, or accurately defined myopia as short sightedness. The mean KAP scores were 22.9 [+ or -] 23.7, 33.9 [+ or -] 5.4, and 22.3 [+ or -] 2.8, respectively and varied significantly with many of the demographic variables particularly with age group, region, marital status, and type of employment. Multiple linear regression analyses revealed significant associations between region of residence and knowledge ([beta] =--0.54, 95%CI:-0.87, -0.23, p < 0.001), attitude ([beta] =--0.24, 95%CI:-0.35,-0.14, p < 0.001) and preventive practices ([beta] = 0.07, 95%CI: 0.01, 0.12, p = 0.015). Preventive practices were also associated with type of employment (self-employed vs employee: [beta] = 0.25, 95%CI: 0.15, 4.91, p < 0.05). Knowledge scores were significantly higher in those who lived in the Greater Accra (39.5 [+ or -] 18.5) and Eastern regions (39.1 [+ or -] 17.5) and lower among those who lived in the Upper West region (6.4 [+ or -] 15.6). Government employees and those with tertiary education had significantly higher mean knowledge scores compared with non-government employees ([beta] = 4.56, 95%CI 1.22, 7.89, p = 0.007), and those with primary/no education ([beta] = 18.35, 95%CI: 14.42, 22.27, p < 0.001). Conclusion Ghanaian partici |
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This study determined the KAP on myopia in Ghana. Methods This was a population-based cross-sectional survey conducted among adults (aged 18 years and older) living across 16 regions of Ghana between May and October 2021. Data on socio-demographic factors (sex, age, gender, level of education, working status, type of employment, monthly income, and region of residence), respondents' awareness, and knowledge, attitude and preventive practices (KAP) about myopia were collected. Composite and mean scores were calculated from eleven knowledge (total score = 61), eight attitude (48), and nine preventive practice items (33). Differences in mean scores were assessed using one-way analysis of variance (ANOVA) and standardized coefficients ([beta]) with 95% confidence intervals (CI), using multiple linear regression to determine the associations between the dependent (KAP) and demographic variables. Results Of the 1,919 participants, mean age was 37.4 [+ or -] 13.4 years, 42.3% were aged 18-30 years, 52.6% were men, 55.8% had completed tertiary education, and 49.2% had either heard about myopia, or accurately defined myopia as short sightedness. The mean KAP scores were 22.9 [+ or -] 23.7, 33.9 [+ or -] 5.4, and 22.3 [+ or -] 2.8, respectively and varied significantly with many of the demographic variables particularly with age group, region, marital status, and type of employment. Multiple linear regression analyses revealed significant associations between region of residence and knowledge ([beta] =--0.54, 95%CI:-0.87, -0.23, p < 0.001), attitude ([beta] =--0.24, 95%CI:-0.35,-0.14, p < 0.001) and preventive practices ([beta] = 0.07, 95%CI: 0.01, 0.12, p = 0.015). Preventive practices were also associated with type of employment (self-employed vs employee: [beta] = 0.25, 95%CI: 0.15, 4.91, p < 0.05). Knowledge scores were significantly higher in those who lived in the Greater Accra (39.5 [+ or -] 18.5) and Eastern regions (39.1 [+ or -] 17.5) and lower among those who lived in the Upper West region (6.4 [+ or -] 15.6). Government employees and those with tertiary education had significantly higher mean knowledge scores compared with non-government employees ([beta] = 4.56, 95%CI 1.22, 7.89, p = 0.007), and those with primary/no education ([beta] = 18.35, 95%CI: 14.42, 22.27, p < 0.001). Conclusion Ghanaian participants had adequate knowledge of myopia but showed poor attitude and low preventive practices, which varied significantly between regions and were modified by socio-demographic factors. Further research into how education can be used to stimulate Ghanaians' engagement in preventive practices is needed. Keywords: Myopia, Knowledge, Attitude, Preventive practices, Sub-Saharan Africa, Ghana</description><identifier>ISSN: 1471-2458</identifier><identifier>EISSN: 1471-2458</identifier><identifier>DOI: 10.1186/s12889-023-16587-7</identifier><language>eng</language><publisher>London: BioMed Central Ltd</publisher><subject>Adults ; Age ; Attitude ; Attitudes ; Blindness ; Care and treatment ; Confidence intervals ; Cross-sectional studies ; Data analysis ; Data collection ; Demographic aspects ; Demographic variables ; Demographics ; Demography ; Diagnosis ; Economic aspects ; Education ; Employment ; Gender ; Ghana ; Health aspects ; Knowledge ; Labor productivity ; Likert scale ; Mathematical analysis ; Medicine, Preventive ; Methods ; Myopia ; Pilot projects ; Population ; Prevention ; Preventive health services ; Preventive practices ; Psychological aspects ; Questionnaires ; Regression analysis ; Social aspects ; Social networks ; Statistical analysis ; Sub-Saharan Africa ; Surveys ; Variance analysis ; Visual impairment ; Young adults</subject><ispartof>BMC public health, 2023-09, Vol.23 (1), p.1-1712, Article 1712</ispartof><rights>COPYRIGHT 2023 BioMed Central Ltd.</rights><rights>2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>BioMed Central Ltd., part of Springer Nature 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c492t-26c7dfbcbb9b9aeea11b7cda00cb95d2065c0508b73eb080493281f744dfbb923</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476336/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2865397469?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids></links><search><creatorcontrib>Osuagwu, Uchechukwu L</creatorcontrib><creatorcontrib>Ocansey, Stephen</creatorcontrib><creatorcontrib>Ndep, Antor O</creatorcontrib><creatorcontrib>Kyeremeh, Sylvester</creatorcontrib><creatorcontrib>Ovenseri-Ogbomo, Godwin</creatorcontrib><creatorcontrib>Ekpenyong, Bernadine N</creatorcontrib><creatorcontrib>Agho, Kingsley E</creatorcontrib><creatorcontrib>Ekure, Edgar</creatorcontrib><creatorcontrib>Mashige, Khathutshelo Percy</creatorcontrib><creatorcontrib>Ogbuehi, Kelechi C</creatorcontrib><creatorcontrib>Rasengane, Tuwani</creatorcontrib><creatorcontrib>Nkansah, Nana Darkoah</creatorcontrib><creatorcontrib>Naidoo, Kovin Shunmugan</creatorcontrib><creatorcontrib>Centre for Eyecare & Public Health Intervention Initiative (CEPHII)</creatorcontrib><title>Demographic factors associated with myopia knowledge, attitude and preventive practices among adults in Ghana: a population-based cross-sectional survey</title><title>BMC public health</title><description>Purpose Knowledge, positive attitude and good preventive practices are keys to successful myopia control, but information on these is lacking in Africa. This study determined the KAP on myopia in Ghana. Methods This was a population-based cross-sectional survey conducted among adults (aged 18 years and older) living across 16 regions of Ghana between May and October 2021. Data on socio-demographic factors (sex, age, gender, level of education, working status, type of employment, monthly income, and region of residence), respondents' awareness, and knowledge, attitude and preventive practices (KAP) about myopia were collected. Composite and mean scores were calculated from eleven knowledge (total score = 61), eight attitude (48), and nine preventive practice items (33). Differences in mean scores were assessed using one-way analysis of variance (ANOVA) and standardized coefficients ([beta]) with 95% confidence intervals (CI), using multiple linear regression to determine the associations between the dependent (KAP) and demographic variables. Results Of the 1,919 participants, mean age was 37.4 [+ or -] 13.4 years, 42.3% were aged 18-30 years, 52.6% were men, 55.8% had completed tertiary education, and 49.2% had either heard about myopia, or accurately defined myopia as short sightedness. The mean KAP scores were 22.9 [+ or -] 23.7, 33.9 [+ or -] 5.4, and 22.3 [+ or -] 2.8, respectively and varied significantly with many of the demographic variables particularly with age group, region, marital status, and type of employment. Multiple linear regression analyses revealed significant associations between region of residence and knowledge ([beta] =--0.54, 95%CI:-0.87, -0.23, p < 0.001), attitude ([beta] =--0.24, 95%CI:-0.35,-0.14, p < 0.001) and preventive practices ([beta] = 0.07, 95%CI: 0.01, 0.12, p = 0.015). Preventive practices were also associated with type of employment (self-employed vs employee: [beta] = 0.25, 95%CI: 0.15, 4.91, p < 0.05). Knowledge scores were significantly higher in those who lived in the Greater Accra (39.5 [+ or -] 18.5) and Eastern regions (39.1 [+ or -] 17.5) and lower among those who lived in the Upper West region (6.4 [+ or -] 15.6). Government employees and those with tertiary education had significantly higher mean knowledge scores compared with non-government employees ([beta] = 4.56, 95%CI 1.22, 7.89, p = 0.007), and those with primary/no education ([beta] = 18.35, 95%CI: 14.42, 22.27, p < 0.001). Conclusion Ghanaian participants had adequate knowledge of myopia but showed poor attitude and low preventive practices, which varied significantly between regions and were modified by socio-demographic factors. Further research into how education can be used to stimulate Ghanaians' engagement in preventive practices is needed. Keywords: Myopia, Knowledge, Attitude, Preventive practices, Sub-Saharan Africa, Ghana</description><subject>Adults</subject><subject>Age</subject><subject>Attitude</subject><subject>Attitudes</subject><subject>Blindness</subject><subject>Care and treatment</subject><subject>Confidence intervals</subject><subject>Cross-sectional studies</subject><subject>Data analysis</subject><subject>Data collection</subject><subject>Demographic aspects</subject><subject>Demographic variables</subject><subject>Demographics</subject><subject>Demography</subject><subject>Diagnosis</subject><subject>Economic aspects</subject><subject>Education</subject><subject>Employment</subject><subject>Gender</subject><subject>Ghana</subject><subject>Health aspects</subject><subject>Knowledge</subject><subject>Labor productivity</subject><subject>Likert scale</subject><subject>Mathematical analysis</subject><subject>Medicine, Preventive</subject><subject>Methods</subject><subject>Myopia</subject><subject>Pilot projects</subject><subject>Population</subject><subject>Prevention</subject><subject>Preventive health services</subject><subject>Preventive practices</subject><subject>Psychological aspects</subject><subject>Questionnaires</subject><subject>Regression analysis</subject><subject>Social aspects</subject><subject>Social networks</subject><subject>Statistical analysis</subject><subject>Sub-Saharan Africa</subject><subject>Surveys</subject><subject>Variance analysis</subject><subject>Visual impairment</subject><subject>Young 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attitude and preventive practices among adults in Ghana: a population-based cross-sectional survey</title><author>Osuagwu, Uchechukwu L ; Ocansey, Stephen ; Ndep, Antor O ; Kyeremeh, Sylvester ; Ovenseri-Ogbomo, Godwin ; Ekpenyong, Bernadine N ; Agho, Kingsley E ; Ekure, Edgar ; Mashige, Khathutshelo Percy ; Ogbuehi, Kelechi C ; Rasengane, Tuwani ; Nkansah, Nana Darkoah ; Naidoo, Kovin Shunmugan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c492t-26c7dfbcbb9b9aeea11b7cda00cb95d2065c0508b73eb080493281f744dfbb923</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adults</topic><topic>Age</topic><topic>Attitude</topic><topic>Attitudes</topic><topic>Blindness</topic><topic>Care and treatment</topic><topic>Confidence intervals</topic><topic>Cross-sectional studies</topic><topic>Data analysis</topic><topic>Data collection</topic><topic>Demographic aspects</topic><topic>Demographic variables</topic><topic>Demographics</topic><topic>Demography</topic><topic>Diagnosis</topic><topic>Economic aspects</topic><topic>Education</topic><topic>Employment</topic><topic>Gender</topic><topic>Ghana</topic><topic>Health aspects</topic><topic>Knowledge</topic><topic>Labor productivity</topic><topic>Likert scale</topic><topic>Mathematical analysis</topic><topic>Medicine, Preventive</topic><topic>Methods</topic><topic>Myopia</topic><topic>Pilot projects</topic><topic>Population</topic><topic>Prevention</topic><topic>Preventive health services</topic><topic>Preventive practices</topic><topic>Psychological aspects</topic><topic>Questionnaires</topic><topic>Regression analysis</topic><topic>Social aspects</topic><topic>Social networks</topic><topic>Statistical analysis</topic><topic>Sub-Saharan Africa</topic><topic>Surveys</topic><topic>Variance analysis</topic><topic>Visual impairment</topic><topic>Young 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Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Osuagwu, Uchechukwu L</au><au>Ocansey, Stephen</au><au>Ndep, Antor O</au><au>Kyeremeh, Sylvester</au><au>Ovenseri-Ogbomo, Godwin</au><au>Ekpenyong, Bernadine N</au><au>Agho, Kingsley E</au><au>Ekure, Edgar</au><au>Mashige, Khathutshelo Percy</au><au>Ogbuehi, Kelechi C</au><au>Rasengane, Tuwani</au><au>Nkansah, Nana Darkoah</au><au>Naidoo, Kovin Shunmugan</au><aucorp>Centre for Eyecare & Public Health Intervention Initiative (CEPHII)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Demographic factors associated with myopia knowledge, attitude and preventive practices among adults in Ghana: a population-based cross-sectional survey</atitle><jtitle>BMC public health</jtitle><date>2023-09-04</date><risdate>2023</risdate><volume>23</volume><issue>1</issue><spage>1</spage><epage>1712</epage><pages>1-1712</pages><artnum>1712</artnum><issn>1471-2458</issn><eissn>1471-2458</eissn><abstract>Purpose Knowledge, positive attitude and good preventive practices are keys to successful myopia control, but information on these is lacking in Africa. This study determined the KAP on myopia in Ghana. Methods This was a population-based cross-sectional survey conducted among adults (aged 18 years and older) living across 16 regions of Ghana between May and October 2021. Data on socio-demographic factors (sex, age, gender, level of education, working status, type of employment, monthly income, and region of residence), respondents' awareness, and knowledge, attitude and preventive practices (KAP) about myopia were collected. Composite and mean scores were calculated from eleven knowledge (total score = 61), eight attitude (48), and nine preventive practice items (33). Differences in mean scores were assessed using one-way analysis of variance (ANOVA) and standardized coefficients ([beta]) with 95% confidence intervals (CI), using multiple linear regression to determine the associations between the dependent (KAP) and demographic variables. Results Of the 1,919 participants, mean age was 37.4 [+ or -] 13.4 years, 42.3% were aged 18-30 years, 52.6% were men, 55.8% had completed tertiary education, and 49.2% had either heard about myopia, or accurately defined myopia as short sightedness. The mean KAP scores were 22.9 [+ or -] 23.7, 33.9 [+ or -] 5.4, and 22.3 [+ or -] 2.8, respectively and varied significantly with many of the demographic variables particularly with age group, region, marital status, and type of employment. Multiple linear regression analyses revealed significant associations between region of residence and knowledge ([beta] =--0.54, 95%CI:-0.87, -0.23, p < 0.001), attitude ([beta] =--0.24, 95%CI:-0.35,-0.14, p < 0.001) and preventive practices ([beta] = 0.07, 95%CI: 0.01, 0.12, p = 0.015). Preventive practices were also associated with type of employment (self-employed vs employee: [beta] = 0.25, 95%CI: 0.15, 4.91, p < 0.05). Knowledge scores were significantly higher in those who lived in the Greater Accra (39.5 [+ or -] 18.5) and Eastern regions (39.1 [+ or -] 17.5) and lower among those who lived in the Upper West region (6.4 [+ or -] 15.6). Government employees and those with tertiary education had significantly higher mean knowledge scores compared with non-government employees ([beta] = 4.56, 95%CI 1.22, 7.89, p = 0.007), and those with primary/no education ([beta] = 18.35, 95%CI: 14.42, 22.27, p < 0.001). Conclusion Ghanaian participants had adequate knowledge of myopia but showed poor attitude and low preventive practices, which varied significantly between regions and were modified by socio-demographic factors. Further research into how education can be used to stimulate Ghanaians' engagement in preventive practices is needed. Keywords: Myopia, Knowledge, Attitude, Preventive practices, Sub-Saharan Africa, Ghana</abstract><cop>London</cop><pub>BioMed Central Ltd</pub><doi>10.1186/s12889-023-16587-7</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1471-2458 |
ispartof | BMC public health, 2023-09, Vol.23 (1), p.1-1712, Article 1712 |
issn | 1471-2458 1471-2458 |
language | eng |
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source | Publicly Available Content Database; PubMed Central |
subjects | Adults Age Attitude Attitudes Blindness Care and treatment Confidence intervals Cross-sectional studies Data analysis Data collection Demographic aspects Demographic variables Demographics Demography Diagnosis Economic aspects Education Employment Gender Ghana Health aspects Knowledge Labor productivity Likert scale Mathematical analysis Medicine, Preventive Methods Myopia Pilot projects Population Prevention Preventive health services Preventive practices Psychological aspects Questionnaires Regression analysis Social aspects Social networks Statistical analysis Sub-Saharan Africa Surveys Variance analysis Visual impairment Young adults |
title | Demographic factors associated with myopia knowledge, attitude and preventive practices among adults in Ghana: a population-based cross-sectional survey |
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