A Multilevel Analysis of Regional and Gender Differences in the Drinking Behavior of 23 Countries.
Introduction: Drinking behavior differs not only among countries, but also among regions within a country. However, the extent of such variation and the interplay between gender and regional differences in drinking have not been explored and are addressed in this study. Methods: Data stem from 105,0...
| Publicado en: | Substance Use & Misuse Vol. 55; no. 5; pp. 772 - 787 |
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| Autores principales: | , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
2020
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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=142532816&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 142532816 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10826084 2VI jtl: Substance Use & Misuse issn: 10826084 maglogo: Y pubinfo: dt: 2020 vid: 55 iid: 5 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 142532816 142532816 142532816 10.1080/10826084.2019.1702700 142532816 ppf: 772 ppct: 15 formats: tig: atl: A Multilevel Analysis of Regional and Gender Differences in the Drinking Behavior of 23 Countries. aug: au: Grittner, Ulrike Wilsnack, Sharon Kuntsche, Sandra Greenfield, Thomas K. Wilsnack, Richard Kristjanson, Arlinda Bloomfield, Kim affil: Institute of Biometry and Clinical Epidemiology, Charité – Universitätsmedizin Berlin, Berlin, Germany sug: subj: Drinking Behavior Human Sex Factors Geographic Factors Alcoholism Ethanol Male Female Alcohol Drinking Logistic Regression Intraclass Correlation Coefficient Descriptive Statistics Confidence Intervals Low and Middle Income Countries Male Female ab: Introduction: Drinking behavior differs not only among countries, but also among regions within a country. However, the extent of such variation and the interplay between gender and regional differences in drinking have not been explored and are addressed in this study. Methods: Data stem from 105,061 individuals from 23 countries of the GENACIS data set. The outcomes were heavy drinking (10/20 g or more of pure ethanol per day for women/men), and risky single occasion drinking (RSOD) (5+ drinks per occasion) at least monthly. Analyses used binary logistic mixed models. Variance at specific levels was measured by the intra-class correlation coefficient (ICC). Gender differences in outcomes were measured using gender ratios. Results: Country-level ICC was 0.13 (95% CI: 0.09–0.18) for heavy drinking and 0.16 (95% CI: 0.10–0.26) for RSOD. Within-country regional-level ICC for heavy drinking and RSOD was 0.02 (95% CI: 0.009–0.05; 0.01–0.04, respectively), implying that 2% of variation in heavy drinking and RSOD was explained by regional variation. Variance in drinking indicators was larger for women compared to men across countries. Gender ratios were higher in low- and middle-income countries. Conclusions: Regional variations in risky drinking were more often present in low- to middle-income countries as well as in a few higher-income countries, and could be due to cultural and demographic differences. Variations in gender differences were larger on the country level than on the regional level, with lower-income countries showing larger differences. These results can help to better identify specific high-risk groups for prevention strategies. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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