A multilevel analysis of social capital and smoking behavior in Seoul, South Korea.
Objective: This study examined the association between social capital and smoking. Methods: A cross-sectional survey was conducted from December 2010 to April 2011 in Seoul, South Korea. In total, 4,734 respondents within 25 administrative-areas were analyzed. Multilevel logistic regression analysis...
| Publicado en: | Journal of Substance Use Vol. 23; no. 6; pp. 603 - 610 |
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| Autor principal: | |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=131258212&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 131258212 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14659891 ILV jtl: Journal of Substance Use issn: 14659891 maglogo: Y pubinfo: dt: 2018 vid: 23 iid: 6 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 131258212 131258212 131258212 10.1080/14659891.2018.1459907 131258212 ppf: 603 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A multilevel analysis of social capital and smoking behavior in Seoul, South Korea. aug: au: Han, Sehee affil: Institute of Social Sciences, Kookmin University, Seongbuk-Gu, South Korea sug: subj: Smoking Trends Social Capital South Korea Cross Sectional Studies Human Male Female Logistic Regression Odds Ratio Confidence Intervals Social Determinants of Health Scales Questionnaires Age Factors Sex Factors Adult Middle Age Aged Data Analysis Software Descriptive Statistics Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Male Female ab: Objective: This study examined the association between social capital and smoking. Methods: A cross-sectional survey was conducted from December 2010 to April 2011 in Seoul, South Korea. In total, 4,734 respondents within 25 administrative-areas were analyzed. Multilevel logistic regression analysis was used. Results: Various dimensions of social capital at the individual level were positively or negatively associated with smoking at the individual level. Network resource was positively associated with smoking (OR = 1.17; 95% CI = 1.03, 1.33). Organizational participation was negatively associated with smoking (OR = 0.81; 95% CI = 0.67, 0.98). Trust was negatively associated with smoking (OR = 0.91; 95% CI = 0.88, 0.94). However, none of the area-level social capital variables were associated with smoking. Conclusions: Findings indicate that social capital has not only a bright side but a dark side as well. The present study provides evidence that the higher levels of social capital are not always good for individuals’ health behavior. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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