ArticleScientific reports2026
Comparison of all-cause mortality risk factors in a population-based cohort study.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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14 authors.
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Abstract
All-cause mortality is a population health indicator of the combined impact of biological, behavioral, social, and healthcare-related factors. We used data from 3,803 participants (1,947 women, 51.2%; aged 20 to 81 years) of the population-based Study of Health in Pomerania (SHIP-START-0, 1997-2001), with a median follow-up duration of 20.2 years. Sex-stratified cox proportional hazard models were used to estimate associations between socioeconomic, lifestyle, anthropometric, and cardiovascular risk factors with all-cause mortality. During the 70,982 person-years, 1,029 deaths (641 men and 388 women) were determined as all-cause mortality. In men, type 2 diabetes (hazard ratio [HR] = 1.83 [95% confidence interval {CI}: 1.48 to 2.25; p < 0.001]), living without a partner (HR = 1.78 [95% CI: 1.41 to 2.24; p < 0.001]), being a current smoker (HR = 1.76 [95% CI: 1.41 to 2.20; p < 0.001]), older age (HR per year = 1.10 [95% CI: 1.10 to 1.11; p < 0.001]) and elevated hs-CRP (HR per mmol/l = 1.07 [95% CI: 1.03 to 1.11; p < 0.001]) where significantly associated with increased all-cause mortality. In women, just type 2 diabetes (HR = 1.70 [95% CI: 1.28 to 2.15; p < 0.001]) and elevated hs-CRP (HR per mmol/l = 1.07 [95% CI: 1.03 to 1.12; p < 0.001]) where significantly associated with increased all-cause mortality. Type 2 diabetes and inflammation were linked to higher all-cause mortality in both sexes, whereas being without a partner, current smoking, and older age were significant risk factors specifically for men.
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