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- Long, Di, et al.
(författare)
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Smoking and inequalities in mortality in 11 European countries : a birth cohort analysis
- 2021
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Ingår i: Population Health Metrics. - : BioMed Central (BMC). - 1478-7954. ; 19:1
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Tidskriftsartikel (refereegranskat)abstract
- PURPOSE: To study the trends of smoking-attributable mortality among the low and high educated in consecutive birth cohorts in 11 European countries.METHODS: Register-based mortality data were collected among adults aged 30 to 79 years in 11 European countries between 1971 and 2012. Smoking-attributable deaths were estimated indirectly from lung cancer mortality rates using the Preston-Glei-Wilmoth method. Rate ratios and rate differences among the low and high-educated were estimated and used to estimate the contribution of inequality in smoking-attributable mortality to inequality in total mortality.RESULTS: In most countries, smoking-attributable mortality decreased in consecutive birth cohorts born between 1906 and 1961 among low- and high-educated men and high-educated women, but not among low-educated women among whom it increased. Relative educational inequalities in smoking-attributable mortality increased among both men and women with no signs of turning points. Absolute inequalities were stable among men but slightly increased among women. The contribution of inequality in smoking-attributable mortality to inequality in total mortality decreased in consecutive generations among men but increased among women.CONCLUSIONS: Smoking might become less important as a driver of inequalities in total mortality among men in the future. However, among women, smoking threatens to further widen inequalities in total mortality.
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- Nusselder, Wilma J, et al.
(författare)
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Determinants of inequalities in years with disability : an international-comparative study
- 2021
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Ingår i: European Journal of Public Health. - : Oxford University Press. - 1101-1262 .- 1464-360X. ; 31:3, s. 527-533
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Tidskriftsartikel (refereegranskat)abstract
- Background: Persons with a lower socioeconomic position spend more years with disability, despite their shorter life expectancy, but it is unknown what the important determinants are. This study aimed to quantify the contribution to educational inequalities in years with disability of eight risk factors: father’s manual occupation, low income, few social contacts, smoking, high alcohol consumption, high body-weight, low physical exercise and low fruit and vegetable consumption. Methods: We collected register-based mortality and survey-based disability and risk factor data from 15 European countries covering the period 2010–14 for most countries. We calculated years with disability between the ages of 35 and 80 by education and gender using the Sullivan method, and determined the hypothetical effect of changing the prevalence of each risk factor to the prevalence observed among high educated (‘upward levelling scenario’), using Population Attributable Fractions. Results: Years with disability among low educated were higher than among high educated, with a difference of 4.9 years among men and 5.5 years among women for all countries combined. Most risk factors were more prevalent among low educated. We found the largest contributions to inequalities in years with disability for low income (men: 1.0 year; women: 1.4 year), high body-weight (men: 0.6 year; women: 1.2 year) and father’s manual occupation (men: 0.7 year; women: 0.9 year), but contributions differed by country. The contribution of smoking was relatively small. Conclusions: Disadvantages in material circumstances (low income), circumstances during childhood (father’s manual occupation) and high body-weight contribute to inequalities in years with disability.
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