Literature DB >> 16129726

Identifying the energy gap: magnitude and determinants of 5-year weight gain in midage women.

Wendy J Brown1, Lauren Williams, Jessica H Ford, Kylie Ball, Annette J Dobson.   

Abstract

OBJECTIVE: The aims of this study were to estimate average yearly weight gain in midage women and to identify the determinants of weight gain and gaining weight at double the average rate. RESEARCH METHODS AND PROCEDURES: The study sample comprised 8071 participants (45 to 55 years old) in the Australian Longitudinal Study on Women's Health who completed mailed surveys in 1996, 1998, and 2001.
RESULTS: On average, the women gained almost 0.5 kg per year [average 2.42 kg (95% confidence interval, 2.29 to 2.54) over 5 years]. In multivariate analyses, variables associated with energy balance (physical activity, sitting time, and energy intake), as well as quitting smoking, menopause/hysterectomy, and baseline BMI category were significantly associated with weight gain, but other behavioral and demographic characteristics were not. After adjustment for all of the other biological and behavioral variables, the odds of gaining weight at about twice the average rate (>5 kg over 5 years) were highest for women who quit smoking (odds ratio = 2.94; 95% confidence interval, 2.17, 3.96). There were also independent relationships between the odds of gaining >5 kg and lower levels of habitual physical activity, more time spent sitting, energy intake (but only in women with BMI > 25 at baseline), menopause transition, and hysterectomy. DISCUSSION: The average weight gain equates with an energy imbalance of only about 10 kcal or 40 kJ per day, which suggests that small sustained changes in the modifiable behavioral variables could prevent further weight gain.

Entities:  

Mesh:

Year:  2005        PMID: 16129726     DOI: 10.1038/oby.2005.173

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


  68 in total

1.  Perceived weight gain as a correlate of physical activity and energy intake among white, black, and Hispanic reproductive-aged women.

Authors:  Yen-Chi L Le; Mahbubur Rahman; Abbey B Berenson
Journal:  J Womens Health (Larchmt)       Date:  2010-09-11       Impact factor: 2.681

2.  Comparison of self-reported week-day and weekend-day sitting time and weekly time-use: results from the Australian Longitudinal Study on Women's Health.

Authors:  Jannique G Z van Uffelen; Melanie J Watson; Annette J Dobson; Wendy J Brown
Journal:  Int J Behav Med       Date:  2011-09

Review 3.  The Importance of Energy Balance.

Authors:  James O Hill; Holly R Wyatt; John C Peters
Journal:  Eur Endocrinol       Date:  2013-08-23

4.  Need states based on eating occasions experienced by midlife women.

Authors:  Houa Vue; Dennis Degeneffe; Marla Reicks
Journal:  J Nutr Educ Behav       Date:  2008 Nov-Dec       Impact factor: 3.045

5.  Results from the dissemination of an evidence-based telephone-delivered intervention for healthy lifestyle and weight loss: the Optimal Health Program.

Authors:  Ana Goode; Marina Reeves; Neville Owen; Elizabeth Eakin
Journal:  Transl Behav Med       Date:  2013-12       Impact factor: 3.046

6.  Increasing passive energy expenditure during clerical work.

Authors:  Erik A Beers; James N Roemmich; Leonard H Epstein; Peter J Horvath
Journal:  Eur J Appl Physiol       Date:  2008-03-20       Impact factor: 3.078

7.  Patterns of weight control strategies predict differences in women's 4-year weight gain.

Authors:  Jennifer S Savage; Leann L Birch
Journal:  Obesity (Silver Spring)       Date:  2009-08-20       Impact factor: 5.002

8.  "Thinking on your feet": A qualitative evaluation of sit-stand desks in an Australian workplace.

Authors:  Anne Carolyn Grunseit; Josephine Yuk-Yin Chau; Hidde Pieter van der Ploeg; Adrian Bauman
Journal:  BMC Public Health       Date:  2013-04-18       Impact factor: 3.295

9.  A small-changes approach reduces energy intake in free-living humans.

Authors:  Nanette Stroebele; John M de Castro; Jennifer Stuht; Vicki Catenacci; Holly R Wyatt; James O Hill
Journal:  J Am Coll Nutr       Date:  2009-02       Impact factor: 3.169

10.  Deleterious associations of sitting time and television viewing time with cardiometabolic risk biomarkers: Australian Diabetes, Obesity and Lifestyle (AusDiab) study 2004-2005.

Authors:  Alicia A Thorp; Genevieve N Healy; Neville Owen; Jo Salmon; Kylie Ball; Jonathan E Shaw; Paul Z Zimmet; David W Dunstan
Journal:  Diabetes Care       Date:  2009-11-16       Impact factor: 19.112

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.