An updated global picture of cigarette smoking persistence among adults
| Autor: | Herbert Matschinger, Josep Maria Haro, Silvia Florescu, James C. Anthony, Ronny Bruffaerts, Evelyn J. Bromet, Rajesh Sagar, Carla L. Storr, Giovanni de Girolamo, Ronald C. Kessler, Yueqin Huang, Tadashi Takeshima, Ali Al-Hamzawi, Jean Pierre Lepine, Toma Tomov, Laura Helena Andrade, Siobhan O'Neill, J. Elisabeth Wells, Jonathan P. Troost, Aimee N. Karam, Chiyi Hu, María Elena Medina-Mora, David R. Williams, David A. Barondess, Oye Gureje, Jose Posada-Villa, Ron de Graaf |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Adult
Male Gerontology Persistence (psychology) Smoking prevalence Global Health Article 03 medical and health sciences 0302 clinical medicine Cigarette smoking Smoking persistence Tobacco Prevalence Humans Medicine 030212 general & internal medicine Age of Onset Developing Countries 030505 public health business.industry Developed Countries lcsh:Public aspects of medicine Smoking Age Factors 1. No poverty lcsh:RA1-1270 Variance (accounting) 3. Good health Meta-analysis Socioeconomic Factors Income level Female 0305 other medical science business Demography |
| Zdroj: | Journal of Epidemiology and Global Health, Vol 2, Iss 3 (2019) Journal of Epidemiology and Global Health, Vol 2, Iss 3, Pp 135-144 (2012) |
| ISSN: | 2210-6006 |
| Popis: | Background: Cross-national variance in smoking prevalence is relatively well documented. The aim of this study is to estimate levels of smoking persistence across 21 countries with a hypothesized inverse relationship between country income level and smoking persistence. Methods: Data from the World Health Organization World Mental Health Survey Initiative were used to estimate cross-national differences in smoking persistence—the proportion of adults who started to smoke and persisted in smoking by the date of the survey. Results: There is large variation in smoking persistence from 25% (Nigeria) to 85% (China), with a random-effects meta-analytic summary estimate of 55% with considerable cross-national variation. (Cochran’s heterogeneity Q statistic = 6845; p |
| Databáze: | OpenAIRE |
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