Literature DB >> 12080451

Prevalence and correlates of large weight gains and losses.

R W Jeffery1, M T McGuire, S A French.   

Abstract

OBJECTIVE: To examine the prevalence and correlates of large weight gains and losses over a 3 y period in a heterogeneous population of participants in a study of weight gain prevention. DESIGN AND MEASURES: Analyses based on a cohort of 823 participants in a weight gain prevention study whose weight was measured on at least two of four annual examinations.
RESULTS: Weight gains and losses of >or=5% body weight over 1 y were observed in 9.3 and 15% of the population, respectively. Weight gains among those initially losing weight were significantly greater (3.9 kg) than among those experiencing stable weight (0.8 kg) or a large weight gain (1.5 kg) over the following 2 y. Cumulative weight changes over 3 y were -2.6, 1.0 and 7.6 kg among large loss, weight stable and large gain groups, respectively. Large weight loss was more common in smokers, large gains were more common in younger people and in those with a more extensive weight loss history, and stable weight was observed more often in individuals with less extensive histories of weight loss.
CONCLUSION: The high prevalence of large short-term weight gains and losses in this heterogeneous population, their apparent resistance to short-term reversal, and the strength of their relationship to longer-term weight trends suggest that rapid weight change over relatively short time intervals is a phenomenon that deserves more research attention. Short periods of rapid weight gain may contribute importantly to rapidly rising obesity rates.

Entities:  

Mesh:

Year:  2002        PMID: 12080451     DOI: 10.1038/sj.ijo.0802015

Source DB:  PubMed          Journal:  Int J Obes Relat Metab Disord


  9 in total

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Authors:  Laura E Hooper; Karen E Foster-Schubert; David S Weigle; Bess Sorensen; Cornelia M Ulrich; Anne McTiernan
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3.  Weight change and glycemic control after diagnosis of type 2 diabetes.

Authors:  Adrianne C Feldstein; Gregory A Nichols; David H Smith; A Gabriela Rosales; Nancy Perrin
Journal:  J Gen Intern Med       Date:  2008-06-28       Impact factor: 5.128

4.  Smoking and weight loss among smokers with overweight and obesity in Look AHEAD.

Authors:  Cara M Murphy; Damaris J Rohsenow; Karen C Johnson; Rena R Wing
Journal:  Health Psychol       Date:  2018-05       Impact factor: 4.267

5.  Lean and weight stable: behavioral predictors and psychological correlates.

Authors:  Kirsten Krahnstoever Davison; Leann Lipps Birch
Journal:  Obes Res       Date:  2004-07

6.  Residential property values predict prevalent obesity but do not predict 1-year weight change.

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7.  Changes in Obesity Odds Ratio among Iranian Adults, since 2000: Quadratic Inference Functions Method.

Authors:  Enayatollah Bakhshi; Koorosh Etemad; Behjat Seifi; Kazem Mohammad; Akbar Biglarian; Jalil Koohpayehzadeh
Journal:  Comput Math Methods Med       Date:  2016-10-10       Impact factor: 2.238

8.  Weight gain prevention in young adults: design of the study of novel approaches to weight gain prevention (SNAP) randomized controlled trial.

Authors:  Rena R Wing; Deborah Tate; Mark Espeland; Amy Gorin; Jessica Gokee LaRose; Erica Ferguson Robichaud; Karen Erickson; Letitia Perdue; Judy Bahnson; Cora E Lewis
Journal:  BMC Public Health       Date:  2013-04-04       Impact factor: 3.295

9.  Weight Fluctuation and Postmenopausal Breast Cancer in the National Health and Nutrition Examination Survey I Epidemiologic Follow-Up Study.

Authors:  Marina Komaroff
Journal:  J Obes       Date:  2016-02-03
  9 in total

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