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The prevalence of and factors associated with tobacco smoking behavior among long-distance drivers in Lagos, Nigeria
Factors associated with tobacco smoking are useful in designing tobacco control programs. To estimate the prevalence of and factors associated with tobacco smoking among long-distance drivers. A cross-sectional study. Stratified cluster sampling approach was used to select drivers based on if they r...
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| Published in: | African health sciences 2017-12, Vol.17 (4), p.1110-1119 |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
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| container_end_page | 1119 |
| container_issue | 4 |
| container_start_page | 1110 |
| container_title | African health sciences |
| container_volume | 17 |
| creator | Ozoh, Obianuju B Akanbi, Maxwell O Amadi, Casmir E Vollmer, William M Bruce, Nigel G |
| description | Factors associated with tobacco smoking are useful in designing tobacco control programs.
To estimate the prevalence of and factors associated with tobacco smoking among long-distance drivers.
A cross-sectional study. Stratified cluster sampling approach was used to select drivers based on if they received annual health screening (AHS) or not (non-AHS). We used a structured questionnaire to obtain information and weighted the resulting observations to derive population based estimates. Association between tobacco smoking and socio-demographic factors was explored in multivariate models.
A total of 414 male drivers, with a mean age of 43.6 (standard error 0.6) years were studied. Population weighted prevalence of current smoking was 18.9% (95% CI: 14.3-23.4) all drivers, 6.5% (95% CI: 2.6-10.4) of AHS drivers and 19.5 (95% CI: 14.7-24.2) of non-AHS drivers (p |
| doi_str_mv | 10.4314/ahs.v17i4.19 |
| format | article |
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To estimate the prevalence of and factors associated with tobacco smoking among long-distance drivers.
A cross-sectional study. Stratified cluster sampling approach was used to select drivers based on if they received annual health screening (AHS) or not (non-AHS). We used a structured questionnaire to obtain information and weighted the resulting observations to derive population based estimates. Association between tobacco smoking and socio-demographic factors was explored in multivariate models.
A total of 414 male drivers, with a mean age of 43.6 (standard error 0.6) years were studied. Population weighted prevalence of current smoking was 18.9% (95% CI: 14.3-23.4) all drivers, 6.5% (95% CI: 2.6-10.4) of AHS drivers and 19.5 (95% CI: 14.7-24.2) of non-AHS drivers (p<0.001). In multivariate models, having close friends that smoked (OR= 6.36, 95% CI= 2.49 - 16.20) cargo driving (OR= 2.58, 95% CI= 1.29 - 5.15) and lower education levels (OR for post-secondary education vs. Primary education or less= 0.17, 95% CI= 0.04 - 0.81) were associated with current smoking.
Prevalence of tobacco smoking is higher among non-AHS compared to AHS drivers. Having close friends that smoked, cargo driving, and lower education levels were associated with current smoking.</description><identifier>ISSN: 1680-6905</identifier><identifier>EISSN: 1729-0503</identifier><identifier>EISSN: 1680-6905</identifier><identifier>DOI: 10.4314/ahs.v17i4.19</identifier><identifier>PMID: 29937882</identifier><language>eng</language><publisher>Uganda: Makerere Medical School</publisher><subject>Adult ; Aged ; Automobile Driving - statistics & numerical data ; Cross-Sectional Studies ; Humans ; Male ; Middle Aged ; Nigeria - epidemiology ; Prevalence ; Smoking - epidemiology ; Socioeconomic Factors ; Surveys and Questionnaires ; Tobacco Smoking</subject><ispartof>African health sciences, 2017-12, Vol.17 (4), p.1110-1119</ispartof><rights>2017 Ozoh et al. 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c346t-77fa71894654348f470a8ffc61f3339ebc15fe5bc6dfbfe6ef002e58c11c2cec3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870278/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870278/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29937882$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ozoh, Obianuju B</creatorcontrib><creatorcontrib>Akanbi, Maxwell O</creatorcontrib><creatorcontrib>Amadi, Casmir E</creatorcontrib><creatorcontrib>Vollmer, William M</creatorcontrib><creatorcontrib>Bruce, Nigel G</creatorcontrib><title>The prevalence of and factors associated with tobacco smoking behavior among long-distance drivers in Lagos, Nigeria</title><title>African health sciences</title><addtitle>Afr Health Sci</addtitle><description>Factors associated with tobacco smoking are useful in designing tobacco control programs.
To estimate the prevalence of and factors associated with tobacco smoking among long-distance drivers.
A cross-sectional study. Stratified cluster sampling approach was used to select drivers based on if they received annual health screening (AHS) or not (non-AHS). We used a structured questionnaire to obtain information and weighted the resulting observations to derive population based estimates. Association between tobacco smoking and socio-demographic factors was explored in multivariate models.
A total of 414 male drivers, with a mean age of 43.6 (standard error 0.6) years were studied. Population weighted prevalence of current smoking was 18.9% (95% CI: 14.3-23.4) all drivers, 6.5% (95% CI: 2.6-10.4) of AHS drivers and 19.5 (95% CI: 14.7-24.2) of non-AHS drivers (p<0.001). In multivariate models, having close friends that smoked (OR= 6.36, 95% CI= 2.49 - 16.20) cargo driving (OR= 2.58, 95% CI= 1.29 - 5.15) and lower education levels (OR for post-secondary education vs. Primary education or less= 0.17, 95% CI= 0.04 - 0.81) were associated with current smoking.
Prevalence of tobacco smoking is higher among non-AHS compared to AHS drivers. Having close friends that smoked, cargo driving, and lower education levels were associated with current smoking.</description><subject>Adult</subject><subject>Aged</subject><subject>Automobile Driving - statistics & numerical data</subject><subject>Cross-Sectional Studies</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Nigeria - epidemiology</subject><subject>Prevalence</subject><subject>Smoking - epidemiology</subject><subject>Socioeconomic Factors</subject><subject>Surveys and Questionnaires</subject><subject>Tobacco Smoking</subject><issn>1680-6905</issn><issn>1729-0503</issn><issn>1680-6905</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNpVkU1v1DAQhi0Eoh9w44x85NAsduzE9gUJVUCRVu2lPVsTZ7wxJPFie4P675ulpYLLfGhePTOjl5B3nG2k4PIjDHmzcBXkhpsX5JSr2lSsYeLlWreaVa1hzQk5y_kHY3XLDX9NTmpjhNK6PiXldkC6T7jAiLNDGj2FuaceXIkpU8g5ugAFe_o7lIGW2IFzkeYp_gzzjnY4wBJiojDFtR3XUPUhFziy-hQWXCFhplvYxXxBr8MOU4A35JWHMePbp3xO7r5-ub28qrY3375fft5WTsi2VEp5UFwb2TZSSO2lYqC9dy33QgiDneONx6Zzbe87jy369UNstOPc1Q6dOCefHrn7Qzdh73AuCUa7T2GCdG8jBPv_ZA6D3cXFNlqxWukV8OEJkOKvA-Zip5AdjiPMGA_Z1qwxTDZcmlV68Sh1Keac0D-v4cwejbKrUfaPUZYf5e__Pe1Z_NcZ8QA4nZNC</recordid><startdate>20171201</startdate><enddate>20171201</enddate><creator>Ozoh, Obianuju B</creator><creator>Akanbi, Maxwell O</creator><creator>Amadi, Casmir E</creator><creator>Vollmer, William M</creator><creator>Bruce, Nigel G</creator><general>Makerere Medical School</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20171201</creationdate><title>The prevalence of and factors associated with tobacco smoking behavior among long-distance drivers in Lagos, Nigeria</title><author>Ozoh, Obianuju B ; Akanbi, Maxwell O ; Amadi, Casmir E ; Vollmer, William M ; Bruce, Nigel G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c346t-77fa71894654348f470a8ffc61f3339ebc15fe5bc6dfbfe6ef002e58c11c2cec3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Automobile Driving - statistics & numerical data</topic><topic>Cross-Sectional Studies</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Nigeria - epidemiology</topic><topic>Prevalence</topic><topic>Smoking - epidemiology</topic><topic>Socioeconomic Factors</topic><topic>Surveys and Questionnaires</topic><topic>Tobacco Smoking</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ozoh, Obianuju B</creatorcontrib><creatorcontrib>Akanbi, Maxwell O</creatorcontrib><creatorcontrib>Amadi, Casmir E</creatorcontrib><creatorcontrib>Vollmer, William M</creatorcontrib><creatorcontrib>Bruce, Nigel G</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>African health sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ozoh, Obianuju B</au><au>Akanbi, Maxwell O</au><au>Amadi, Casmir E</au><au>Vollmer, William M</au><au>Bruce, Nigel G</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The prevalence of and factors associated with tobacco smoking behavior among long-distance drivers in Lagos, Nigeria</atitle><jtitle>African health sciences</jtitle><addtitle>Afr Health Sci</addtitle><date>2017-12-01</date><risdate>2017</risdate><volume>17</volume><issue>4</issue><spage>1110</spage><epage>1119</epage><pages>1110-1119</pages><issn>1680-6905</issn><eissn>1729-0503</eissn><eissn>1680-6905</eissn><abstract>Factors associated with tobacco smoking are useful in designing tobacco control programs.
To estimate the prevalence of and factors associated with tobacco smoking among long-distance drivers.
A cross-sectional study. Stratified cluster sampling approach was used to select drivers based on if they received annual health screening (AHS) or not (non-AHS). We used a structured questionnaire to obtain information and weighted the resulting observations to derive population based estimates. Association between tobacco smoking and socio-demographic factors was explored in multivariate models.
A total of 414 male drivers, with a mean age of 43.6 (standard error 0.6) years were studied. Population weighted prevalence of current smoking was 18.9% (95% CI: 14.3-23.4) all drivers, 6.5% (95% CI: 2.6-10.4) of AHS drivers and 19.5 (95% CI: 14.7-24.2) of non-AHS drivers (p<0.001). In multivariate models, having close friends that smoked (OR= 6.36, 95% CI= 2.49 - 16.20) cargo driving (OR= 2.58, 95% CI= 1.29 - 5.15) and lower education levels (OR for post-secondary education vs. Primary education or less= 0.17, 95% CI= 0.04 - 0.81) were associated with current smoking.
Prevalence of tobacco smoking is higher among non-AHS compared to AHS drivers. Having close friends that smoked, cargo driving, and lower education levels were associated with current smoking.</abstract><cop>Uganda</cop><pub>Makerere Medical School</pub><pmid>29937882</pmid><doi>10.4314/ahs.v17i4.19</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | African health sciences, 2017-12, Vol.17 (4), p.1110-1119 |
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| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5870278 |
| source | PubMed Central |
| subjects | Adult Aged Automobile Driving - statistics & numerical data Cross-Sectional Studies Humans Male Middle Aged Nigeria - epidemiology Prevalence Smoking - epidemiology Socioeconomic Factors Surveys and Questionnaires Tobacco Smoking |
| title | The prevalence of and factors associated with tobacco smoking behavior among long-distance drivers in Lagos, Nigeria |
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