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Alterations in Multiple Lifestyle Factors in Subjects with the Metabolic Syndrome Independently of Obesity
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology.
Lund Univ, Malmo Univ Hosp, Dept Hlth Sci, Div Geriatr Med, Malmo, Sweden..
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Science for Life Laboratory, SciLifeLab. Stanford Univ, Sch Med, Dept Med, Div Cardiovasc Med, Stanford, CA 94305 USA.;.ORCID iD: 0000-0003-2256-6972
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, UCR-Uppsala Clinical Research Center. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiology.ORCID iD: 0000-0003-2247-8454
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2017 (English)In: Metabolic Syndrome and Related Disorders, ISSN 1540-4196, E-ISSN 1557-8518, Vol. 15, no 3, 118-123 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2017. Vol. 15, no 3, 118-123 p.
Keyword [en]
metabolic syndrome, obesity, lifestyle factors, MHO
National Category
Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
URN: urn:nbn:se:uu:diva-321438DOI: 10.1089/met.2016.0120ISI: 000397585500003PubMedID: 28339343OAI: oai:DiVA.org:uu-321438DiVA: diva2:1094207
Available from: 2017-05-09 Created: 2017-05-09 Last updated: 2017-05-09Bibliographically approved

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Roos, VendelaIngelsson, ErikSundström, JohanÄrnlöv, JohanLind, Lars

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Roos, VendelaIngelsson, ErikSundström, JohanÄrnlöv, JohanLind, Lars
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Cardiovascular epidemiologyMolecular epidemiologyScience for Life Laboratory, SciLifeLabUCR-Uppsala Clinical Research CenterCardiologyDepartment of Medical Sciences
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Metabolic Syndrome and Related Disorders
Public Health, Global Health, Social Medicine and Epidemiology

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