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Search: WFRF:(Bonenfant S.)

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1.
  • Theorell, Töres, et al. (author)
  • Job strain in relation to body mass index : pooled analysis of 160 000 adults from 13 cohort studies
  • 2012
  • In: Journal of Internal Medicine. - : Wiley. - 0954-6820 .- 1365-2796. ; 272:1, s. 65-73
  • Journal article (peer-reviewed)abstract
    • Job strain in relation to body mass index: pooled analysis of 160 000 adults from 13 cohort studies. J Intern Med 2012; 272: 6573. Background. Evidence of an association between job strain and obesity is inconsistent, mostly limited to small-scale studies, and does not distinguish between categories of underweight or obesity subclasses. Objectives. To examine the association between job strain and body mass index (BMI) in a large adult population. Methods. We performed a pooled cross-sectional analysis based on individual-level data from 13 European studies resulting in a total of 161 746 participants (49% men, mean age, 43.7 years). Longitudinal analysis with a median follow-up of 4 years was possible for four cohort studies (n = 42 222). Results. A total of 86 429 participants were of normal weight (BMI 18.524.9 kg m-2), 2149 were underweight (BMI < 18.5 kg m-2), 56 572 overweight (BMI 25.029.9 kg m-2) and 13 523 class I (BMI 3034.9 kg m-2) and 3073 classes II/III (BMI = 35 kg m-2) obese. In addition, 27 010 (17%) participants reported job strain. In cross-sectional analyses, we found increased odds of job strain amongst underweight [odds ratio 1.12, 95% confidence interval (CI) 1.001.25], obese class I (odds ratio 1.07, 95% CI 1.021.12) and obese classes II/III participants (odds ratio 1.14, 95% CI 1.011.28) as compared with participants of normal weight. In longitudinal analysis, both weight gain and weight loss were related to the onset of job strain during follow-up. Conclusions. In an analysis of European data, we found both weight gain and weight loss to be associated with the onset of job strain, consistent with a U-shaped cross-sectional association between job strain and BMI. These associations were relatively modest; therefore, it is unlikely that intervention to reduce job strain would be effective in combating obesity at a population level.
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2.
  • Mills, James A., et al. (author)
  • Archiving Primary Data : Solutions for Long-Term Studies
  • 2015
  • In: Trends in Ecology & Evolution. - : Elsevier BV. - 0169-5347 .- 1872-8383. ; 30:10, s. 581-589
  • Journal article (peer-reviewed)abstract
    • The recent trend for journals to require open access to primary data included in publications has been embraced by many biologists, but has caused apprehension amongst researchers engaged in long-term ecological and evolutionary studies. A worldwide survey of 73 principal investigators (PIs) with long-term studies revealed positive attitudes towards sharing data with the agreement or involvement of the PI, and 93% of PIs have historically shared data. Only 8% were in favor of uncontrolled, open access to primary data while 63% expressed serious concern. We present here their viewpoint on an issue that can have non-trivial scientific consequences. We discuss potential costs of public data archiving and provide possible solutions to meet the needs of journals and researchers.
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Nilsson, Jan Åke (2)
Hansson, Bengt (2)
Dingemanse, Niels J. (2)
Pärt, Tomas (2)
Gustafsson, Lars (2)
Kjellander, Petter (2)
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Grant, Peter R. (2)
Roulin, Alexandre (2)
Cockburn, Andrew (2)
Doligez, Blandine (2)
Low, Matthew (2)
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Cote, Steeve D. (2)
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Ropert-Coudert, Yan (2)
Swenson, Jon E. (2)
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Wilson, Alastair J. (2)
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Lens, Luc (2)
Daunt, Francis (2)
Wanless, Sarah (2)
Drummond, Hugh (2)
Oro, Daniel (2)
van Noordwijk, Arie ... (2)
Thébaud, Christophe (2)
Mills, James A. (2)
Bonenfant, Christoph ... (2)
Cam, Emmanuelle (2)
Coulson, John C. (2)
Espie, Richard H. M. (2)
Harris, Michael P. (2)
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Swedish University of Agricultural Sciences (2)
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