Journal of epidemiology and community health · 2017
Educational inequalities in falls mortality among older adults: population-based multiple cause of death data from Sweden.
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Ahmad Kiadaliri Aliasghar, Turkiewicz Aleksandra, Englund Martin
Аннотация
BACKGROUND: Falls are the leading cause of fatal injuries among elderly adults. While socioeconomic status including education is a well-documented predictor of many individual health outcomes including mortality, little is known about socioeconomic inequalities in falls mortality among adults. This study aimed to assess educational inequalities in falls mortality among older adults in Sweden using multiple cause of death data.
METHODS: All residents aged 50‒75 years in the Skåne region, Sweden, during 1998‒2013 (n=566 478) were followed until death, relocation outside Skåne or end of 2014. We identified any mention of falls on death certificates (n=1047). We defined three levels of education. We used an additive hazards model and Cox regression with age as time scale adjusted for marital status and country of birth to calculate slope and relative indices of inequality (SII/RII). We also computed the population attributable fraction of lower educational attainment. Analyses were performed separately for men and women.
RESULTS: Both SII and RII revealed statistically significant educational inequalities in falls mortality among men in favour of high educated (SII (95% CI): 15.5 (9.8 to 21.3) per 100 000 person-years; RII: 2.19 (1.60 to 3.00)) but not among women. Among men, 34% (95% CI 19 to 46) of falls deaths were attributable to lower education.
CONCLUSIONS: There was an inverse association between education and deaths from falls among men but not women. The results suggest that individual's education should be considered in falls reduction interventions.
METHODS: All residents aged 50‒75 years in the Skåne region, Sweden, during 1998‒2013 (n=566 478) were followed until death, relocation outside Skåne or end of 2014. We identified any mention of falls on death certificates (n=1047). We defined three levels of education. We used an additive hazards model and Cox regression with age as time scale adjusted for marital status and country of birth to calculate slope and relative indices of inequality (SII/RII). We also computed the population attributable fraction of lower educational attainment. Analyses were performed separately for men and women.
RESULTS: Both SII and RII revealed statistically significant educational inequalities in falls mortality among men in favour of high educated (SII (95% CI): 15.5 (9.8 to 21.3) per 100 000 person-years; RII: 2.19 (1.60 to 3.00)) but not among women. Among men, 34% (95% CI 19 to 46) of falls deaths were attributable to lower education.
CONCLUSIONS: There was an inverse association between education and deaths from falls among men but not women. The results suggest that individual's education should be considered in falls reduction interventions.