Literature DB >> 31093925

Seasonal fluctuations in weight and self-weighing behavior among adults in a behavioral weight loss intervention.

Margaret C Fahey1, Robert C Klesges2,3, Mehmet Kocak2, Gerald W Talcott2,3, Rebecca A Krukowski2.   

Abstract

PURPOSE: The current study aimed to observe potential seasonal fluctuations in weight and self-weighing behavior among a diverse sample of adults engaged in a behavioral weight loss intervention.
METHODS: Active duty personnel (N = 248) were randomized to either a counselor-initiated or self-paced 12-month behavioral weight loss intervention promoting daily self-weighing. Body weight and self-weighing frequency were collected from electronic scales (e-scales) provided at baseline.
RESULTS: Overall, participants lost weight from winter to spring (p = 0.02) and gained weight from fall to winter (p < 0.001). No demographic differences in weight changes were observed. Participants self-weighed less frequently during summer compared to spring (p < 0.0001), less in fall compared to summer (p < 0.0001), and less in winter compared to fall (p < 0.0001). In multivariate models, weight change and self-weighing frequency during the previous season, as well as days since randomization and intervention intensity were associated with seasonal weight changes.
CONCLUSIONS: This study is the first to observe seasonal fluctuations of weight and self-weighing behavior among adults actively engaged in a weight loss intervention, consistent with research in the general population. Findings highlight the importance of acknowledging seasonal influence within weight loss programs and trials. LEVEL OF EVIDENCE: Level I, randomized controlled trial.

Entities:  

Keywords:  Behavioral weight loss intervention; Seasonal weight patterns; Self-weighing

Mesh:

Year:  2019        PMID: 31093925      PMCID: PMC6856417          DOI: 10.1007/s40519-019-00707-7

Source DB:  PubMed          Journal:  Eat Weight Disord        ISSN: 1124-4909            Impact factor:   4.652


  30 in total

1.  Relation between holiday weight gain and total energy expenditure among 40- to 69-y-old men and women (OPEN study).

Authors:  Chad M Cook; Amy F Subar; Richard P Troiano; Dale A Schoeller
Journal:  Am J Clin Nutr       Date:  2012-02-01       Impact factor: 7.045

2.  The impact of seasonality on changes in body weight and physical activity in Mexican-American women.

Authors:  Lisa Lloyd; Brian Miller
Journal:  Women Health       Date:  2013

3.  The Christmas feast.

Authors:  S G Rees; R R Holman; R C Turner
Journal:  Br Med J (Clin Res Ed)       Date:  1985 Dec 21-28

4.  A prospective study of holiday weight gain.

Authors:  J A Yanovski; S Z Yanovski; K N Sovik; T T Nguyen; P M O'Neil; N G Sebring
Journal:  N Engl J Med       Date:  2000-03-23       Impact factor: 91.245

5.  Weight and body composition change over a six-week holiday period.

Authors:  D R Wagner; J N Larson; H Wengreen
Journal:  Eat Weight Disord       Date:  2012-03       Impact factor: 4.652

6.  Moderating Effects of Weather-Related Factors on a Physical Activity Intervention.

Authors:  Whitney A Welch; Bonnie Spring; Siobhan M Phillips; Juned Siddique
Journal:  Am J Prev Med       Date:  2018-03-15       Impact factor: 5.043

7.  Cost associated with being overweight and with obesity, high alcohol consumption, and tobacco use within the military health system's TRICARE prime-enrolled population.

Authors:  Timothy M Dall; Yiduo Zhang; Yaozhu J Chen; Rachel C Askarinam Wagner; Paul F Hogan; Nancy K Fagan; Samuel T Olaiya; David N Tornberg
Journal:  Am J Health Promot       Date:  2007 Nov-Dec

8.  The Christmas factor in obesity therapy.

Authors:  I Andersson; S Rössner
Journal:  Int J Obes Relat Metab Disord       Date:  1992-12

9.  The effect of holiday weight gain on body weight.

Authors:  Dale A Schoeller
Journal:  Physiol Behav       Date:  2014-03-21

10.  Seasonal BMI changes of rural women living in Anatolia.

Authors:  Ciğdem Sabbağ
Journal:  Int J Environ Res Public Health       Date:  2012-04-02       Impact factor: 3.390

View more
  2 in total

1.  Personalized Metabolic Avatar: A Data Driven Model of Metabolism for Weight Variation Forecasting and Diet Plan Evaluation.

Authors:  Alessio Abeltino; Giada Bianchetti; Cassandra Serantoni; Cosimo Federico Ardito; Daniele Malta; Marco De Spirito; Giuseppe Maulucci
Journal:  Nutrients       Date:  2022-08-26       Impact factor: 6.706

2.  Data Imputation and Body Weight Variability Calculation Using Linear and Nonlinear Methods in Data Collected From Digital Smart Scales: Simulation and Validation Study.

Authors:  Jake Turicchi; Ruairi O'Driscoll; Graham Finlayson; Cristiana Duarte; A L Palmeira; Sofus C Larsen; Berit L Heitmann; R James Stubbs
Journal:  JMIR Mhealth Uhealth       Date:  2020-09-11       Impact factor: 4.773

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.