| 1. |
- Engström, Gunnar, et al.
(författare)
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The Swedish CArdioPulmonary BioImage Study : objectives and design
- 2015
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Ingår i: Journal of Internal Medicine. - : Wiley. - 0954-6820 .- 1365-2796. ; 278:6, s. 645-659
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Tidskriftsartikel (refereegranskat)abstract
- Cardiopulmonary diseases are major causes of death worldwide, but currently recommended strategies for diagnosis and prevention may be outdated because of recent changes in risk factor patterns. The Swedish CArdioPulmonarybioImage Study (SCAPIS) combines the use of new imaging technologies, advances in large-scale 'omics' and epidemiological analyses to extensively characterize a Swedish cohort of 30 000 men and women aged between 50 and 64 years. The information obtained will be used to improve risk prediction of cardiopulmonary diseases and optimize the ability to study disease mechanisms. A comprehensive pilot study in 1111 individuals, which was completed in 2012, demonstrated the feasibility and financial and ethical consequences of SCAPIS. Recruitment to the national, multicentre study has recently started.
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| 2. |
- Roos, Vendela, et al.
(författare)
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Alterations in multiple lifestyle factors in subjects with the metabolic syndrome independently of obesity
- 2017
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Ingår i: Metabolic Syndrome and Related Disorders. - : Mary Ann Liebert Inc. - 1540-4196 .- 1557-8518. ; 15:3, s. 118-123
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Many lifestyle factors have been associated with the metabolic syndrome (MetS). However, most of these studies have not considered the potential impact of obesity and have often only investigated one lifestyle factor at the time. We aimed to investigate the interplay between body mass index (BMI) and MetS with respect to multiple lifestyle factors.METHODS: BMI and MetS [National Cholesterol Education Program (NCEP)/Adult Treatment Panel III criteria] were assessed in a sample of 18,880 subjects aged 45-75 years from the population-based EpiHealth study. Participants were categorized into six groups according to BMI category (normal weight/BMI <25 kg/m(2), overweight/BMI 25-30 kg/m(2), and obesity/BMI >30 kg/m(2)) and MetS status (+/-, NCEP criteria). A wide range of lifestyle factors related to physical activity, smoking, alcohol, sleep quality, working conditions, quality of life and stress, and eating patterns were assessed using a questionnaire.RESULTS: Prevalent MetS (23% in the sample) was associated with less physical activity (P < 0.0001), more TV watching (P < 0.0001), more years of smoking (P < 0.0001), lower education level (P = 0.007), and experiencing a poor general quality of life (P < 0.0001). These lifestyle factors were all associated with MetS, independently of each other and independently of BMI. Similar results were generated when number of MetS components and presence/absence of individual MetS components were used as outcomes.CONCLUSIONS: This cross-sectional study identified alterations in a number of lifestyle factors associated with MetS independently of each other and independently of BMI. Future longitudinal studies are needed to assess causal and temporal relationships between lifestyle factors and MetS development.
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| 3. |
- Cornelis, Marilyn C, et al.
(författare)
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Targeted proteomic analysis of habitual coffee consumption
- 2018
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Ingår i: Journal of Internal Medicine. - : Wiley. - 0954-6820 .- 1365-2796. ; 283:2, s. 200-211
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Coffee drinking has been implicated in mortality and a variety of diseases but potential mechanisms underlying these associations are unclear. Large-scale systems epidemiological approaches may offer novel insights to mechanisms underlying associations of coffee with health.OBJECTIVE: We performed an analysis of known and novel protein markers linked to cardiovascular disease and their association with habitual coffee intake in the Prospective Study of the Vasculature in Uppsala Seniors (PIVUS, n=816) and followed-up top proteins in the Uppsala Longitudinal Study of Adult Men (ULSAM, n=635) and EpiHealth (n=2418).METHODS: In PIVUS and ULSAM, coffee intake was measured by 7-day dietary records while a computer-based food frequency questionnaire was used in EpiHealth. Levels of up to 80 proteins were assessed in plasma by a proximity extension assay.RESULTS: Four protein-coffee associations adjusted for age, sex, smoking and BMI, met statistical significance in PIVUS (FDR<5%, P<2.31×10(-3) ): leptin (LEP), chitinase-3-like protein 1 (CHI3L), Tumor necrosis factor (TNF) receptor 6 and TNF-related apoptosis-inducing ligand. The inverse association between coffee intake and LEP replicated in ULSAM (β, -0.042 SD per cup of coffee, P=0.028) and EpiHealth (β, -0.025 SD per time of coffee, P=0.004). The negative coffee-CHI3L association replicated in EpiHealth (β, -0.07, P=1.15×10(-7) ), but not in ULSAM (β, -0.034, P=0.16).CONCLUSIONS: The current study supports an inverse association between coffee intake and plasma LEP and CHI3L1 levels. The coffee-CHI3L1 association is novel and warrants further investigation given links between CHI3L1 and health conditions that are also potentially influenced by coffee.
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| 4. |
- Sabale, Ugne, et al.
(författare)
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Healthcare utilization and costs following newly diagnosed type-2 diabetes in Sweden : A follow-up of 38,956 patients in a clinical practice setting
- 2015
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Ingår i: Primary Care Diabetes. - : Elsevier BV. - 1751-9918 .- 1878-0210. ; 9:5, s. 330-337
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Tidskriftsartikel (refereegranskat)abstract
- Aims: To describe healthcare resource use patterns and estimate healthcare costs of newly diagnosed Type 2 diabetes mellitus (T2DM) patients in Sweden. Methods: Patients with a newly diagnosed T2DM between 1999 and 2009 were identified from 84 Swedish primary care centres. Healthcare resource use data, excluding pharmaceuticals, were extracted from electronic patient records and a national patient register, and reported as per patient mean number of primary care contacts, laboratory tests and hospitalizations. Per patient mean healthcare costs are reported as annual and cumulative costs. Results: During a median (maximum) of 4.6 (9.0) years follow-up; 38,956 patients (183,513 patient years) on average made 81 primary care contacts, was hospitalized 2.14 times, and took 31 laboratory tests. Mean per patient annual healthcare costs were (sic)4128 (95% CI, 4054-4199) the first year after diagnosis, (sic)2708 (95% CI, 2641-2776) the second year, and (sic)3030 (95% CI, 2854-3204) in year 9 (2012 values). Mean per patient cumulative healthcare costs were (sic)26,503 (95% CI, 26,025-26,970) at 9 years of follow-up. Hospitalizations accounted for the majority of healthcare costs. Conclusions: Although newly diagnosed T2DM patients require a substantial amount of healthcare services in primary care, hospitalizations account for the majority of healthcare costs.
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