Literature DB >> 10968728

Predictors of weight change in middle-aged and old men.

M Fogelholm1, U Kujala, J Kaprio, S Sarna.   

Abstract

OBJECTIVE: Studies on weight change and mortality have yielded inconclusive results. This 10-year prospective study was undertaken to improve understanding of factors affecting weight change. RESEARCH METHODS AND PROCEDURES: The subjects were 1,143 men, aged 36 to 88 years (mean, 53.3 years) at entry. A questionnaire was filled in at entry and at the end of the follow-up with queries on weight, height, weight at the age of 20, physician-diagnosed diseases, smoking, alcohol use, dietary habits, leisure physical activity, occupation, present occupational activity, living conditions (living alone or cohabiting), and former athletic status. Further information on morbidity was obtained from selected national registers. Factors predicting weight change during the study were identified by stepwise linear multiple regression analysis.
RESULTS: The mean 10-year weight change was 0.8 (range, -29 to +24) kg. Age at entry (beta-coefficient, -0.17, SE 0.02), weight at entry (beta, -0.03, SE 0.01), diabetes at entry (beta, -3.55, SE 1.02), diabetes diagnosed after entry (beta, -3.94, SE 0.96), malignant cancer (beta, -1.60, SE 0.70), being a smoker (beta, - 1.59, SE 0.48), and increased physical activity (beta, - 1.27, SE 0.54) were significantly (p < 0.05) associated with weight loss in the final model. The model explained 13% of the variance of weight change. DISCUSSION: The results emphasize the complexity of weight change. Some factors associated with weight change are apparently negatively, and some positively, associated with health. This could explain the equivocal findings on weight change and mortality in the literature.

Entities:  

Mesh:

Year:  2000        PMID: 10968728     DOI: 10.1038/oby.2000.44

Source DB:  PubMed          Journal:  Obes Res        ISSN: 1071-7323


  7 in total

Review 1.  Lifestyle modification for obesity: new developments in diet, physical activity, and behavior therapy.

Authors:  Thomas A Wadden; Victoria L Webb; Caroline H Moran; Brooke A Bailer
Journal:  Circulation       Date:  2012-03-06       Impact factor: 29.690

2.  Body mass index in a large cohort of patients assigned to age decades between <20 and ≥80 years: relationship with cardiovascular morbidity and medication.

Authors:  A Dzien; H Winner; E Theurl; C Dzien-Bischinger; M Lechleitner
Journal:  J Nutr Health Aging       Date:  2011-08       Impact factor: 4.075

3.  Total and specific dietary polyphenol intakes and 6-year anthropometric changes in a middle-aged general population cohort.

Authors:  S Adriouch; E Kesse-Guyot; T Feuillet; M Touvier; V Olié; V Andreeva; S Hercberg; P Galan; L K Fezeu
Journal:  Int J Obes (Lond)       Date:  2017-09-20       Impact factor: 5.095

4.  The Association between Marital Transitions, Body Mass Index, and Weight: A Review of the Literature.

Authors:  Lauren Dinour; May May Leung; Gina Tripicchio; Sahar Khan; Ming-Chin Yeh
Journal:  J Obes       Date:  2012-09-20

Review 5.  Critical review: vegetables and fruit in the prevention of chronic diseases.

Authors:  Heiner Boeing; Angela Bechthold; Achim Bub; Sabine Ellinger; Dirk Haller; Anja Kroke; Eva Leschik-Bonnet; Manfred J Müller; Helmut Oberritter; Matthias Schulze; Peter Stehle; Bernhard Watzl
Journal:  Eur J Nutr       Date:  2012-06-09       Impact factor: 5.614

6.  Socioeconomic position and risk of short-term weight gain: prospective study of 14,619 middle-aged men and women.

Authors:  Lisa R Purslow; Elizabeth H Young; Nicholas J Wareham; Nita Forouhi; Eric J Brunner; Robert N Luben; Ailsa A Welch; Kay-Tee Khaw; Shelia A Bingham; Manjinder S Sandhu
Journal:  BMC Public Health       Date:  2008-04-09       Impact factor: 3.295

Review 7.  Behavioural Risk Factors in Mid-Life Associated with Successful Ageing, Disability, Dementia and Frailty in Later Life: A Rapid Systematic Review.

Authors:  Louise Lafortune; Steven Martin; Sarah Kelly; Isla Kuhn; Olivia Remes; Andy Cowan; Carol Brayne
Journal:  PLoS One       Date:  2016-02-04       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.