André Hajek1, Hans-Helmut König. 1. Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Abstract
AIMS: We aimed at determining the effect of BMI on functional health among older Germans longitudinally. METHODS: Data from four waves (2002-2014) of the German Ageing Survey ('Deutscher Alterssurvey'; DEAS), a representative sample of community-dwelling individuals aged 40 years and above, were used. Functional health was quantified by the subscale 'physical functioning' of the 36-Item Short Form Health Survey (SF-36). Fixed effects regressions were used to estimate the predictors of functional health. Linear, quadratic, and cubic terms were included for BMI (self-reported). RESULTS: Fixed effects regressions showed significant linear, quadratic, and cubic effects of BMI on functional health in the total sample and in both sexes. Furthermore, regressions revealed that functional health decreased with increasing age in the total sample and in both sexes. In addition, changes in marital and employment status were significantly associated with changes in functional health in men, but not in women. CONCLUSION: Our data indicate that the greater the extreme of BMI (either higher or lower), the greater the risk for functional decline. Nutrition programs aimed at preventing changes to extreme BMI might be productive.
AIMS: We aimed at determining the effect of BMI on functional health among older Germans longitudinally. METHODS: Data from four waves (2002-2014) of the German Ageing Survey ('Deutscher Alterssurvey'; DEAS), a representative sample of community-dwelling individuals aged 40 years and above, were used. Functional health was quantified by the subscale 'physical functioning' of the 36-Item Short Form Health Survey (SF-36). Fixed effects regressions were used to estimate the predictors of functional health. Linear, quadratic, and cubic terms were included for BMI (self-reported). RESULTS: Fixed effects regressions showed significant linear, quadratic, and cubic effects of BMI on functional health in the total sample and in both sexes. Furthermore, regressions revealed that functional health decreased with increasing age in the total sample and in both sexes. In addition, changes in marital and employment status were significantly associated with changes in functional health in men, but not in women. CONCLUSION: Our data indicate that the greater the extreme of BMI (either higher or lower), the greater the risk for functional decline. Nutrition programs aimed at preventing changes to extreme BMI might be productive.
Authors: S Larrieu; K Pérès; L Letenneur; C Berr; J F Dartigues; K Ritchie; B Février; A Alpérovitch; P Barberger-Gateau Journal: Int J Obes Relat Metab Disord Date: 2004-12
Authors: André Hajek; Christian Brettschneider; Carolin Lange; Tina Posselt; Birgitt Wiese; Susanne Steinmann; Siegfried Weyerer; Jochen Werle; Michael Pentzek; Angela Fuchs; Janine Stein; Tobias Luck; Horst Bickel; Edelgard Mösch; Michael Wagner; Frank Jessen; Wolfgang Maier; Martin Scherer; Steffi G Riedel-Heller; Hans-Helmut König Journal: PLoS One Date: 2015-12-14 Impact factor: 3.240