Literature DB >> 22146090

Leisure time and occupational physical activity in relation to obesity and insulin resistance: a population-based study from the Skaraborg Project in Sweden.

Charlotte A Larsson1, Lotte Krøll, Louise Bennet, Bo Gullberg, Lennart Råstam, Ulf Lindblad.   

Abstract

The objective was to study obesity and insulin resistance in relation to leisure time physical activity (LTPA) and occupational physical activity (OPA) in a Swedish population, with particular focus on sex differences. Using a cross-sectional design, waist circumference, body mass index (BMI), glucose/insulin metabolism, blood pressure, heart rate, self-reported education, smoking, alcohol consumption, LTPA, and OPA were assessed in 1745 men and women (30-74 years) randomly chosen from 2 municipalities in southwestern Sweden. In both men and women, LTPA was inversely associated with BMI, waist circumference, and the homeostasis model assessment of insulin resistance (HOMA-IR), respectively. These associations remained statistically significant after adjustments for age, OPA, education, alcohol consumption, smoking, and study area, and also for BMI in the analyses concerning waist circumference and HOMA-IR. A statistically significant interaction term (P = .030), adjusted for multiple confounders, revealed a stronger association between LTPA and HOMA-IR in women compared with men. Occupational physical activity was positively associated with BMI (P < .001), waist circumference (P < .001), and HOMA-IR (P = .001), however, only in women. These associations remained when adjusting for multiple confounders. The sex differences were confirmed by statistically significant interaction terms between sex and OPA in association with BMI, waist circumference, and HOMA-IR, respectively. The observed sex differences regarding the strength of the association between LTPA and insulin resistance, and the positive association between OPA and obesity and insulin resistance found solely in women, warrant further investigation. Although exploration of the metabolic effects of OPA appears to be needed, thorough measurement of potential confounders is also vital to understand contextual effects. Copyright Â
© 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22146090     DOI: 10.1016/j.metabol.2011.09.010

Source DB:  PubMed          Journal:  Metabolism        ISSN: 0026-0495            Impact factor:   8.694


  21 in total

1.  Childhood Socioeconomic Disadvantage, Occupational, Leisure-Time, and Household Physical Activity, and Diabetes in Adulthood.

Authors:  Vera K Tsenkova; Chioun Lee; Jennifer Morozink Boylan
Journal:  J Phys Act Health       Date:  2017-09-13

2.  Urban-Rural Differences in Aerobic Physical Activity, Muscle Strengthening Exercise, and Screen-Time Sedentary Behavior.

Authors:  Michael C Robertson; Jaejoon Song; Wendell C Taylor; Casey P Durand; Karen M Basen-Engquist
Journal:  J Rural Health       Date:  2018-02-16       Impact factor: 4.333

3.  The association between self-rated health and impaired glucose tolerance in Swedish adults: a cross-sectional study.

Authors:  Susanne Andersson; Inger Ekman; Febe Friberg; Bledar Daka; Ulf Lindblad; Charlotte A Larsson
Journal:  Scand J Prim Health Care       Date:  2013-04-29       Impact factor: 2.581

4.  The intake of energy and selected nutrients by thai urban sedentary workers: an evaluation of adherence to dietary recommendations.

Authors:  Katiya Ivanovitch; Jeeranun Klaewkla; Rewadee Chongsuwat; Chukiat Viwatwongkasem; Wanicha Kitvorapat
Journal:  J Nutr Metab       Date:  2014-12-02

5.  The association of physical activity, body mass index and the blood pressure levels among urban poor youth in Accra, Ghana.

Authors:  Ernest Afrifa-Anane; Charles Agyemang; Samuel Nii Ardey Codjoe; Gbenga Ogedegbe; Ama de-Graft Aikins
Journal:  BMC Public Health       Date:  2015-03-19       Impact factor: 3.295

6.  Physical activity energy expenditure vs cardiorespiratory fitness level in impaired glucose metabolism.

Authors:  Lærke P Lidegaard; Anne-Louise S Hansen; Nanna B Johansen; Daniel R Witte; Søren Brage; Torsten Lauritzen; Marit E Jørgensen; Dirk L Christensen; Kristine Færch
Journal:  Diabetologia       Date:  2015-09-05       Impact factor: 10.122

7.  Inverse association between serum insulin and sex hormone-binding globulin in a population survey in Sweden.

Authors:  Bledar Daka; Thord Rosen; Per Anders Jansson; Lennart Råstam; Charlotte A Larsson; Ulf Lindblad
Journal:  Endocr Connect       Date:  2012-11-19       Impact factor: 3.335

8.  Separate and joint associations of occupational and leisure-time sitting with cardio-metabolic risk factors in working adults: a cross-sectional study.

Authors:  Madina Saidj; Torben Jørgensen; Rikke K Jacobsen; Allan Linneberg; Mette Aadahl
Journal:  PLoS One       Date:  2013-08-06       Impact factor: 3.240

9.  Combined heart rate- and accelerometer-assessed physical activity energy expenditure and associations with glucose homeostasis markers in a population at high risk of developing diabetes: the ADDITION-PRO study.

Authors:  Anne-Louise S Hansen; Bendix Carstensen; Jørn W Helge; Nanna B Johansen; Bibi Gram; Jens S Christiansen; Søren Brage; Torsten Lauritzen; Marit E Jørgensen; Mette Aadahl; Daniel R Witte
Journal:  Diabetes Care       Date:  2013-06-11       Impact factor: 19.112

10.  Patterns and socio-demographic correlates of domain-specific physical activities and their associations with adiposity in the China Kadoorie Biobank study.

Authors:  Huaidong Du; Liming Li; Gary Whitlock; Derrick Bennett; Yu Guo; Zheng Bian; Junshi Chen; Paul Sherliker; Ying Huang; Ningmei Zhang; Xiangyang Zheng; Zhongxiao Li; Ruying Hu; Rory Collins; Richard Peto; Zhengming Chen
Journal:  BMC Public Health       Date:  2014-08-09       Impact factor: 3.295

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