Socioeconomic patterns of smoking cessation behavior in low and middle-income countries: Emerging evidence from the Global Adult Tobacco Surveys and International Tobacco Control Surveys

Tobacco smoking is often more prevalent among those with lower socio-economic status (SES) in high-income countries, which can be driven by the inequalities in initiation and cessation of smoking. Smoking is a leading contributor to socio-economic disparities in health. To date, the evidence for any...

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Veröffentlicht in:PloS one 2019-09, Vol.14 (9), p.e0220223-e0220223
Hauptverfasser: Nargis, Nigar, Yong, Hua-Hie, Driezen, Pete, Mbulo, Lazarous, Zhao, Luhua, Fong, Geoffrey T, Thompson, Mary E, Borland, Ron, Palipudi, Krishna M, Giovino, Gary A, Thrasher, James F, Siahpush, Mohammad
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container_title PloS one
container_volume 14
creator Nargis, Nigar
Yong, Hua-Hie
Driezen, Pete
Mbulo, Lazarous
Zhao, Luhua
Fong, Geoffrey T
Thompson, Mary E
Borland, Ron
Palipudi, Krishna M
Giovino, Gary A
Thrasher, James F
Siahpush, Mohammad
description Tobacco smoking is often more prevalent among those with lower socio-economic status (SES) in high-income countries, which can be driven by the inequalities in initiation and cessation of smoking. Smoking is a leading contributor to socio-economic disparities in health. To date, the evidence for any socio-economic inequality in smoking cessation is lacking, especially in low- and middle-income countries (LMICs). This study examined the association between cessation behaviours and SES of smokers from eight LMICs. Data among former and current adult smokers aged 18 and older came from contemporaneous Global Adult Tobacco Surveys (2008-2011) and the International Tobacco Control Surveys (2009-2013) conducted in eight LMICs (Bangladesh, Brazil, China, India, Mexico, Malaysia, Thailand and Uruguay). Adjusted odds ratios (AORs) of successful quitting in the past year by SES indicators (household income/wealth, education, employment status, and rural-urban residence) were estimated using multivariable logistic regression controlling for socio-demographics and average tobacco product prices. A random effects meta-analysis was used to combine the estimates of AORs pooled across countries and two concurrent surveys for each country. Estimated quit rates among smokers (both daily and occasional) varied widely across countries. Meta-analysis of pooled AORs across countries and data sources indicated that there was no clear evidence of an association between SES indicators and successful quitting. The only exception was employed smokers, who were less likely to quit than their non-employed counterparts, which included students, homemakers, retirees, and the unemployed (pooled AOR≈0.8, p
doi_str_mv 10.1371/journal.pone.0220223
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Smoking is a leading contributor to socio-economic disparities in health. To date, the evidence for any socio-economic inequality in smoking cessation is lacking, especially in low- and middle-income countries (LMICs). This study examined the association between cessation behaviours and SES of smokers from eight LMICs. Data among former and current adult smokers aged 18 and older came from contemporaneous Global Adult Tobacco Surveys (2008-2011) and the International Tobacco Control Surveys (2009-2013) conducted in eight LMICs (Bangladesh, Brazil, China, India, Mexico, Malaysia, Thailand and Uruguay). Adjusted odds ratios (AORs) of successful quitting in the past year by SES indicators (household income/wealth, education, employment status, and rural-urban residence) were estimated using multivariable logistic regression controlling for socio-demographics and average tobacco product prices. A random effects meta-analysis was used to combine the estimates of AORs pooled across countries and two concurrent surveys for each country. Estimated quit rates among smokers (both daily and occasional) varied widely across countries. Meta-analysis of pooled AORs across countries and data sources indicated that there was no clear evidence of an association between SES indicators and successful quitting. The only exception was employed smokers, who were less likely to quit than their non-employed counterparts, which included students, homemakers, retirees, and the unemployed (pooled AOR≈0.8, p&lt;0.10). Lack of clear evidence of the impact of lower SES on adult cessation behaviour in LMICs suggests that lower-SES smokers are not less successful in their attempts to quit than their higher-SES counterparts. Specifically, lack of employment, which is indicative of younger age and lower nicotine dependence for students, or lower personal disposable income and lower affordability for the unemployed and the retirees, may be associated with quitting. Raising taxes and prices of tobacco products that lowers affordability of tobacco products might be a key strategy for inducing cessation behaviour among current smokers and reducing overall tobacco consumption. Because low-SES smokers are more sensitive to price increases, tobacco taxation policy can induce disproportionately larger decreases in tobacco consumption among them and help reduce socio-economic disparities in smoking and consequent health outcomes.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0220223</identifier><identifier>PMID: 31490958</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adult ; Adults ; Aged ; Bangladesh ; Behavior ; Biology and Life Sciences ; Brazil ; Cancer ; China ; Cigarette smoking ; Cigarettes ; Consumption ; Demographics ; Demography ; Dependence ; Developing countries ; Developing Countries - statistics &amp; numerical data ; Disease control ; Drug addiction ; Drug dependence ; Economic aspects ; Economic conditions ; Economics ; Education ; Employment ; Equality ; Female ; Handbooks ; Health aspects ; Health promotion ; Homemakers ; Humans ; Income ; Income inequality ; India ; Indicators ; Influence ; Malaysia ; Male ; Medical research ; Medicine and Health Sciences ; Middle Aged ; Mortality ; Multivariable control ; Nicotine ; People and Places ; Personal income ; Polls &amp; surveys ; Prices ; Psychology ; Public health ; Random effects ; Regression analysis ; Research and Analysis Methods ; Retirees ; Rural schools ; Rural urban differences ; Smokers ; Smoking ; Smoking cessation ; Smoking Cessation - statistics &amp; numerical data ; Social class ; Social Sciences ; Socioeconomic Factors ; Socioeconomic status ; Socioeconomics ; Students ; Surveys ; Systematic review ; Taxation ; Taxes ; Tobacco ; Tobacco smoking ; Tobacco Smoking - epidemiology ; Tobacco Smoking - therapy ; Trends ; Wealth ; Womens health</subject><ispartof>PloS one, 2019-09, Vol.14 (9), p.e0220223-e0220223</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Nargis et al. 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Smoking is a leading contributor to socio-economic disparities in health. To date, the evidence for any socio-economic inequality in smoking cessation is lacking, especially in low- and middle-income countries (LMICs). This study examined the association between cessation behaviours and SES of smokers from eight LMICs. Data among former and current adult smokers aged 18 and older came from contemporaneous Global Adult Tobacco Surveys (2008-2011) and the International Tobacco Control Surveys (2009-2013) conducted in eight LMICs (Bangladesh, Brazil, China, India, Mexico, Malaysia, Thailand and Uruguay). Adjusted odds ratios (AORs) of successful quitting in the past year by SES indicators (household income/wealth, education, employment status, and rural-urban residence) were estimated using multivariable logistic regression controlling for socio-demographics and average tobacco product prices. A random effects meta-analysis was used to combine the estimates of AORs pooled across countries and two concurrent surveys for each country. Estimated quit rates among smokers (both daily and occasional) varied widely across countries. Meta-analysis of pooled AORs across countries and data sources indicated that there was no clear evidence of an association between SES indicators and successful quitting. The only exception was employed smokers, who were less likely to quit than their non-employed counterparts, which included students, homemakers, retirees, and the unemployed (pooled AOR≈0.8, p&lt;0.10). Lack of clear evidence of the impact of lower SES on adult cessation behaviour in LMICs suggests that lower-SES smokers are not less successful in their attempts to quit than their higher-SES counterparts. Specifically, lack of employment, which is indicative of younger age and lower nicotine dependence for students, or lower personal disposable income and lower affordability for the unemployed and the retirees, may be associated with quitting. Raising taxes and prices of tobacco products that lowers affordability of tobacco products might be a key strategy for inducing cessation behaviour among current smokers and reducing overall tobacco consumption. 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Yong, Hua-Hie ; Driezen, Pete ; Mbulo, Lazarous ; Zhao, Luhua ; Fong, Geoffrey T ; Thompson, Mary E ; Borland, Ron ; Palipudi, Krishna M ; Giovino, Gary A ; Thrasher, James F ; Siahpush, Mohammad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-fe9cbfb4bb23adc6b5f7331ca9c92872545d8c36336ed49bb896b90b72b593b43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Adults</topic><topic>Aged</topic><topic>Bangladesh</topic><topic>Behavior</topic><topic>Biology and Life Sciences</topic><topic>Brazil</topic><topic>Cancer</topic><topic>China</topic><topic>Cigarette smoking</topic><topic>Cigarettes</topic><topic>Consumption</topic><topic>Demographics</topic><topic>Demography</topic><topic>Dependence</topic><topic>Developing countries</topic><topic>Developing Countries - statistics &amp; numerical data</topic><topic>Disease control</topic><topic>Drug addiction</topic><topic>Drug dependence</topic><topic>Economic aspects</topic><topic>Economic conditions</topic><topic>Economics</topic><topic>Education</topic><topic>Employment</topic><topic>Equality</topic><topic>Female</topic><topic>Handbooks</topic><topic>Health aspects</topic><topic>Health promotion</topic><topic>Homemakers</topic><topic>Humans</topic><topic>Income</topic><topic>Income inequality</topic><topic>India</topic><topic>Indicators</topic><topic>Influence</topic><topic>Malaysia</topic><topic>Male</topic><topic>Medical research</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Multivariable control</topic><topic>Nicotine</topic><topic>People and Places</topic><topic>Personal income</topic><topic>Polls &amp; 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Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nargis, Nigar</au><au>Yong, Hua-Hie</au><au>Driezen, Pete</au><au>Mbulo, Lazarous</au><au>Zhao, Luhua</au><au>Fong, Geoffrey T</au><au>Thompson, Mary E</au><au>Borland, Ron</au><au>Palipudi, Krishna M</au><au>Giovino, Gary A</au><au>Thrasher, James F</au><au>Siahpush, Mohammad</au><au>Mathur, Manu Raj</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Socioeconomic patterns of smoking cessation behavior in low and middle-income countries: Emerging evidence from the Global Adult Tobacco Surveys and International Tobacco Control Surveys</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-09-06</date><risdate>2019</risdate><volume>14</volume><issue>9</issue><spage>e0220223</spage><epage>e0220223</epage><pages>e0220223-e0220223</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Tobacco smoking is often more prevalent among those with lower socio-economic status (SES) in high-income countries, which can be driven by the inequalities in initiation and cessation of smoking. Smoking is a leading contributor to socio-economic disparities in health. To date, the evidence for any socio-economic inequality in smoking cessation is lacking, especially in low- and middle-income countries (LMICs). This study examined the association between cessation behaviours and SES of smokers from eight LMICs. Data among former and current adult smokers aged 18 and older came from contemporaneous Global Adult Tobacco Surveys (2008-2011) and the International Tobacco Control Surveys (2009-2013) conducted in eight LMICs (Bangladesh, Brazil, China, India, Mexico, Malaysia, Thailand and Uruguay). Adjusted odds ratios (AORs) of successful quitting in the past year by SES indicators (household income/wealth, education, employment status, and rural-urban residence) were estimated using multivariable logistic regression controlling for socio-demographics and average tobacco product prices. A random effects meta-analysis was used to combine the estimates of AORs pooled across countries and two concurrent surveys for each country. Estimated quit rates among smokers (both daily and occasional) varied widely across countries. Meta-analysis of pooled AORs across countries and data sources indicated that there was no clear evidence of an association between SES indicators and successful quitting. The only exception was employed smokers, who were less likely to quit than their non-employed counterparts, which included students, homemakers, retirees, and the unemployed (pooled AOR≈0.8, p&lt;0.10). Lack of clear evidence of the impact of lower SES on adult cessation behaviour in LMICs suggests that lower-SES smokers are not less successful in their attempts to quit than their higher-SES counterparts. Specifically, lack of employment, which is indicative of younger age and lower nicotine dependence for students, or lower personal disposable income and lower affordability for the unemployed and the retirees, may be associated with quitting. Raising taxes and prices of tobacco products that lowers affordability of tobacco products might be a key strategy for inducing cessation behaviour among current smokers and reducing overall tobacco consumption. Because low-SES smokers are more sensitive to price increases, tobacco taxation policy can induce disproportionately larger decreases in tobacco consumption among them and help reduce socio-economic disparities in smoking and consequent health outcomes.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>31490958</pmid><doi>10.1371/journal.pone.0220223</doi><tpages>e0220223</tpages><orcidid>https://orcid.org/0000-0003-4501-1398</orcidid><orcidid>https://orcid.org/0000-0003-2320-0999</orcidid><oa>free_for_read</oa></addata></record>
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identifier ISSN: 1932-6203
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1932-6203
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subjects Adolescent
Adult
Adults
Aged
Bangladesh
Behavior
Biology and Life Sciences
Brazil
Cancer
China
Cigarette smoking
Cigarettes
Consumption
Demographics
Demography
Dependence
Developing countries
Developing Countries - statistics & numerical data
Disease control
Drug addiction
Drug dependence
Economic aspects
Economic conditions
Economics
Education
Employment
Equality
Female
Handbooks
Health aspects
Health promotion
Homemakers
Humans
Income
Income inequality
India
Indicators
Influence
Malaysia
Male
Medical research
Medicine and Health Sciences
Middle Aged
Mortality
Multivariable control
Nicotine
People and Places
Personal income
Polls & surveys
Prices
Psychology
Public health
Random effects
Regression analysis
Research and Analysis Methods
Retirees
Rural schools
Rural urban differences
Smokers
Smoking
Smoking cessation
Smoking Cessation - statistics & numerical data
Social class
Social Sciences
Socioeconomic Factors
Socioeconomic status
Socioeconomics
Students
Surveys
Systematic review
Taxation
Taxes
Tobacco
Tobacco smoking
Tobacco Smoking - epidemiology
Tobacco Smoking - therapy
Trends
Wealth
Womens health
title Socioeconomic patterns of smoking cessation behavior in low and middle-income countries: Emerging evidence from the Global Adult Tobacco Surveys and International Tobacco Control Surveys
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