Literature DB >> 16816028

Measurement of behavioral objectives for weight management.

Faryle Nothwehr1, Leslie Dennis, Haotong Wu.   

Abstract

Measurement of specific behaviors involved in weight management is essential to understanding the behavior change process. This study presents measures of common behavioral objectives for weight management interventions. The relationships between these measures and conventional outcomes of weight management are described. Data are from a survey of 407 adults in the rural Midwest ages 23 to 88. Analyses involved bivariate and multivariate statistical tests. Relationships were stronger when limited to diet or physical activity outcomes as opposed to body mass index or waist circumference. Diet-related strategies were more strongly correlated with diet-related outcomes than physical activity-related outcomes and vice versa. Measures of social interactions and self-monitoring for both diet and physical activity were consistently related to outcomes. The measures show promise as reliable and valid indicators of behavior that could be useful in the evaluation of interventions. Intervention studies are needed to further characterize their value and sensitivity to change over time.

Mesh:

Year:  2006        PMID: 16816028     DOI: 10.1177/1090198106288559

Source DB:  PubMed          Journal:  Health Educ Behav        ISSN: 1090-1981


  22 in total

1.  Factors associated with probability of personal digital assistant-based dietary self-monitoring in those with type 2 diabetes.

Authors:  Mary Ann Sevick; Roslyn A Stone; Susan Zickmund; Yuanyuan Wang; Mary Korytkowski; Lora E Burke
Journal:  J Behav Med       Date:  2010-03-16

2.  Physical activity behavior, barriers to activity, and opinions about a smartphone-based physical activity intervention among rural residents.

Authors:  Allison N Kurti; Henrietta Logan; Todd Manini; Jesse Dallery
Journal:  Telemed J E Health       Date:  2014-11-07       Impact factor: 3.536

3.  Using positive deviance for determining successful weight-control practices.

Authors:  Heather L Stuckey; Jarol Boan; Jennifer L Kraschnewski; Michelle Miller-Day; Erik B Lehman; Christopher N Sciamanna
Journal:  Qual Health Res       Date:  2010-10-18

4.  Uptake of Dietary Sodium Restriction by Overweight and Obese Patients After Cardiac Revascularization.

Authors:  Lufei Young; Susan Barnason
Journal:  Rehabil Nurs       Date:  2015-03-14       Impact factor: 1.625

5.  Unbundling outcomes of a multilevel intervention to increase fruit, vegetables, and whole grains parents pack for their preschool children in sack lunches.

Authors:  Margaret E Briley; Nalini Ranjit; Deanna M Hoelscher; Sara J Sweitzer; Fawaz Almansour; Cynthia Roberts-Gray
Journal:  Am J Health Educ       Date:  2012-05-01

6.  Hope and the use of behavioural strategies related to diet and physical activity.

Authors:  F Nothwehr; D O Clark; A Perkins
Journal:  J Hum Nutr Diet       Date:  2013-03-24       Impact factor: 3.089

7.  Imputational modeling of spatial context and social environmental predictors of walking in an underserved community: the PATH trial.

Authors:  Dawn K Wilson; Caitlyn Ellerbe; Andrew B Lawson; Kassandra A Alia; Duncan C Meyers; Sandra M Coulon; Hannah G Lawman
Journal:  Spat Spatiotemporal Epidemiol       Date:  2012-11-17

8.  A randomized-controlled, pilot intervention on diabetes prevention and healthy lifestyles in the New York City Korean community.

Authors:  Nadia S Islam; Jennifer M Zanowiak; Laura C Wyatt; Kay Chun; Linda Lee; Simona C Kwon; Chau Trinh-Shevrin
Journal:  J Community Health       Date:  2013-12

9.  Correlates of Physical Activity Among Middle-Aged and Older Korean Americans at Risk for Diabetes.

Authors:  Benjamin H Han; Tina Sadarangani; Laura C Wyatt; Jennifer M Zanowiak; Simona C Kwon; Chau Trinh-Shevrin; Linda Lee; Nadia S Islam
Journal:  J Nurs Scholarsh       Date:  2015-12-07       Impact factor: 3.176

10.  Age group differences in diet and physical activity-related behaviors among rural men and women.

Authors:  F Nothwehr; L Snetselaar; H Wu
Journal:  J Nutr Health Aging       Date:  2008-03       Impact factor: 4.075

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