Literature DB >> 21397631

Employment patterns and changes in body weight among young women.

Nicole Au1, Bruce Hollingsworth.   

Abstract

OBJECTIVE: To investigate the influence of employment patterns on weight gain and weight loss in young adult women.
METHODS: Study sample is 5164 participants in the Australian Longitudinal Study on Women's Health who completed surveys in 2003 and 2006. Logistic regression was used to estimate odds ratios of weight change.
RESULTS: The adjusted odds of gaining weight, compared with women in stable full-time work (49.7%), were lower for women in stable part-time work (47.3%, OR = 0.74, CI: 0.58-0.94), or who transitioned from not in the labour force (NILF) to part-time (42.8%, OR = 0.68, CI: 0.47-0.99) or full-time (37.5%, OR = 0.54, CI: 0.34-0.85) work. Heavy weight gain (>10 kg) was less likely among women in stable part-time work (6.4%, OR=0.59, CI: 0.37-0.93) compared with those in stable full-time work (8.1%). The likelihood of weight loss compared with women in stable full-time employment (22.4%) was higher among stable part-time workers (28.4% OR = 1.34, CI: 1.02-1.75) and those who transitioned from full-time to part-time work (24.8%, OR = 1.30, CI: 1.01-1.67). DISCUSSION: The lower likelihood of heavy weight gain associated with fewer work hours suggests more time spent at work may contribute to weight gain. Young women in full-time employment may benefit from workplace interventions supporting healthier lifestyles.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21397631     DOI: 10.1016/j.ypmed.2011.03.006

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  5 in total

1.  Metabolic syndrome and socioeconomic status in France: The French Nutrition and Health Survey (ENNS, 2006-2007).

Authors:  M Vernay; B Salanave; C de Peretti; C Druet; A Malon; V Deschamps; S Hercberg; K Castetbon
Journal:  Int J Public Health       Date:  2013-09-03       Impact factor: 3.380

2.  Weight Gain, Overweight, and Obesity: Determinants and Health Outcomes from the Australian Longitudinal Study on Women's Health.

Authors:  S R Gomersall; A J Dobson; W J Brown
Journal:  Curr Obes Rep       Date:  2014-03

3.  Long work hours and adiposity among police officers in a US northeast city.

Authors:  Ja K Gu; Luenda E Charles; Cecil M Burchfiel; Desta Fekedulegn; Khachatur Sarkisian; Michael E Andrew; Claudia Ma; John M Violanti
Journal:  J Occup Environ Med       Date:  2012-11       Impact factor: 2.162

4.  Employment status, depressive symptoms, and waist circumference change in midlife women: the Study of Women's Health Across the Nation (SWAN).

Authors:  Bradley M Appelhans; Eisuke Segawa; Imke Janssen; Rasa Kazlauskaite; Rebecca C Thurston; Tené T Lewis; Howard M Kravitz
Journal:  Ann Epidemiol       Date:  2013-12-28       Impact factor: 3.797

5.  Gender differences in the longitudinal association between obesity, and disability with workplace absenteeism in the Australian working population.

Authors:  Syed Afroz Keramat; Khorshed Alam; Jeff Gow; Stuart J H Biddle
Journal:  PLoS One       Date:  2020-05-27       Impact factor: 3.240

  5 in total

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