| 1. |
- Chen, Jie, et al.
(författare)
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Long-Term Exposure to Source-Specific Fine Particles and Mortality-A Pooled Analysis of 14 European Cohorts within the ELAPSE Project
- 2022
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Ingår i: Environmental Science and Technology. - : American Chemical Society (ACS). - 0013-936X .- 1520-5851. ; 56:13, s. 9277-9290
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Tidskriftsartikel (refereegranskat)abstract
- We assessed mortality risks associated with sourcespecific fine particles (PM2.5) in a pooled European cohort of 323,782 participants. Cox proportional hazard models were applied to estimate mortality hazard ratios (HRs) for source-specific PM2.5 identified through a source apportionment analysis. Exposure to 2010 annual average concentrations of source-specific PM2.5 components was assessed at baseline residential addresses. The source apportionment resulted in the identification of five sources: traffic, residual oil combustion, soil, biomass and agriculture, and industry. In single-source analysis, all identified sources were significantly positively associated with increased natural mortality risks. In multisource analysis, associations with all sources attenuated but remained statistically significant with traffic, oil, and biomass and agriculture. The highest association per interquartile increase was observed for the traffic component (HR: 1.06; 95% CI: 1.04 and 1.08 per 2.86 mu g/m(3) increase) across five identified sources. On a 1 mu g/m(3) basis, the residual oil-related PM2.5 had the strongest association (HR: 1.13; 95% CI: 1.05 and 1.22), which was substantially higher than that for generic PM2.5 mass, suggesting that past estimates using the generic PM2.5 exposure response function have underestimated the potential clean air health benefits of reducing fossil-fuel combustion. Source-specific associations with cause-specific mortality were in general consistent with findings of natural mortality.
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| 2. |
- Cole-Hunter, Thomas, et al.
(författare)
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Long-term air pollution exposure and Parkinson's disease mortality in a large pooled European cohort : An ELAPSE study
- 2023
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Ingår i: Environment International. - : Elsevier BV. - 0160-4120 .- 1873-6750. ; 171
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Tidskriftsartikel (refereegranskat)abstract
- Background: The link between exposure to ambient air pollution and mortality from cardiorespiratory diseases is well established, while evidence on neurodegenerative disorders including Parkinson’s Disease (PD) remains limited.Objective: We examined the association between long-term exposure to ambient air pollution and PD mortality in seven European cohorts.Methods: Within the project ‘Effects of Low-Level Air Pollution: A Study in Europe’ (ELAPSE), we pooled data from seven cohorts among six European countries. Annual mean residential concentrations of fine particulate matter (PM2.5), nitrogen dioxide (NO2), black carbon (BC), and ozone (O3), as well as 8 PM2.5 components (copper, iron, potassium, nickel, sulphur, silicon, vanadium, zinc), for 2010 were estimated using Europe-wide hybrid land use regression models. PD mortality was defined as underlying cause of death being either PD, secondary Parkinsonism, or dementia in PD. We applied Cox proportional hazard models to investigate the associations between air pollution and PD mortality, adjusting for potential confounders.Results: Of 271,720 cohort participants, 381 died from PD during 19.7 years of follow-up. In single-pollutant analyses, we observed positive associations between PD mortality and PM2.5 (hazard ratio per 5 µg/m3: 1.25; 95% confidence interval: 1.01–1.55), NO2 (1.13; 0.95–1.34 per 10 µg/m3), and BC (1.12; 0.94–1.34 per 0.5 × 10-5m-1), and a negative association with O3 (0.74; 0.58–0.94 per 10 µg/m3). Associations of PM2.5, NO2, and BC with PD mortality were linear without apparent lower thresholds. In two-pollutant models, associations with PM2.5 remained robust when adjusted for NO2 (1.24; 0.95–1.62) or BC (1.28; 0.96–1.71), whereas associations with NO2 or BC attenuated to null. O3 associations remained negative, but no longer statistically significant in models with PM2.5. We detected suggestive positive associations with the potassium component of PM2.5.Conclusion: Long-term exposure to PM2.5, at levels well below current EU air pollution limit values, may contribute to PD mortality.
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| 3. |
- Gudjonsdottir, Hrafnhildur, et al.
(författare)
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Cohort Profile : The Stockholm Diabetes Prevention Programme (SDPP)
- 2022
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Ingår i: International Journal of Epidemiology. - : Oxford University Press (OUP). - 0300-5771 .- 1464-3685. ; 51:6, s. e401-e413
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Tidskriftsartikel (refereegranskat)abstract
- The Stockholm Diabetes Prevention Programme (SDPP) was established in the mid-1990s as a baseline for a community-based intervention aimed at primary prevention of type 2 diabetes (T2D). The intervention was found to be ineffective, but the cohort continues to contribute to our understanding of the pathogenesis of T2D and cardiometabolic risk factors.The cohort comprises 15 070 men and 19 416 women, born between 1938 and 1961, resident in five municipalities in Stockholm County, Sweden, at baseline. A sub-cohort answered a screening survey (10 236 men and 16 481 women), and a sub-cohort of those participated in a clinical examination (3128 men and 4821 women) at baseline (clinical cohort).The clinical cohort has been followed up after 10 years, when 2383 men and 3329 women participated, and after 20 years, when 1752 men and 2545 women participated.Socioeconomic, demographic and health-related register information was collected for all. The screening survey contains self-reported information on own and familial T2D. For the clinical cohort, we conducted oral glucose tolerance tests, drew blood and took blood pressures and anthropometric measurements. The participants also filled in questionnaires on lifestyle and psychosocial conditions.Data are available on request after ethical approval; information is available on the study webpage [Stockholm-Diabetes-Prevention-Programme-(SDPP)(regionstockholm.se)].
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| 4. |
- Yacamán Méndez, Diego
(författare)
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Risk factor patterns in type 2 diabetes and cardiovascular disease : exploring methods for precision medicine in public health
- 2023
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Non-communicable diseases, including type 2 diabetes and cardiovascular disease, are leading contributors to the global burden of disease and an important public health challenge. At an individual level, there is important variability in the risk of these conditions. However, public health interventions often adopt a generalized one-size-fits-all approach. The overall aim of this thesis was to explore the utility of a precision medicine approach to public health and epidemiology, by applying different analytical methods to classify individuals into similar sub-populations based on their individual level characteristics. In study I, I investigated the patterns of weight changes from childhood to early adulthood and how they relate to the occurrence of type 2 diabetes later in life. The results indicate that exposure to overweight/obesity during early adulthood explains a large proportion of the cases of type 2 diabetes, highlighting the importance of public health interventions during this period. In study II, I used different methods for mediation analysis to study the importance of different mechanisms linking low socioeconomic status and type 2 diabetes. The findings show that around 50% of the association between socioeconomic status and type 2 diabetes could be reduced if unhealthy behaviors and metabolic exposures were removed. Interestingly, the results were similar across the different mediation methods. Finally, in studies III and IV, I used data-driven methods to identify sub-groups of healthy adults based on simple clinical characteristics and laboratory values. The findings show that this method was equally effective, or even better, than those commonly used in clinical practice, and could improve the way we define who is at high risk of type 2 diabetes or cardiovascular disease. In conclusion, these studies provide evidence that precision medicine can be a useful approach to guide development and implementation of public health interventions.
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