Format

Send to

Choose Destination
Complement Med Res. 2017;24(4):232-239. doi: 10.1159/000475663. Epub 2017 Jul 4.

High and Low Responders in a Comprehensive Lifestyle Program for Weight Loss - Secondary Analysis of a Randomized Controlled Trial.

Abstract

BACKGROUND/OBJECTIVES:

Unhealthy lifestyle is often related to overweight and obesity and thus to chronic diseases. Web-based programs might be an option for a comprehensive approach to improving long-term weight management. Data from a randomized controlled trial (RCT) evaluating the impact of a lifestyle program on weight reduction were used for a secondary analysis. The objectives were (a) to identify potential predictors for marked weight loss, (b) to explore associations of weight reduction with changes in health-related variables, and (c) to evaluate whether self-monitoring of the daily lifestyle is associated with weight loss.

METHODS:

67 subjects with a body mass index of 28-35 who underwent the 1-year 'Individual Health Management' (IHM) program were included in the analysis (mean age 49.8 years, 79% female). Two subgroups (high response: ≥7.5% weight reduction vs. low response: <7.5%) were compared in terms of sociodemographic data, baseline values, and pre-post changes of various risk and protective factors. A logistic regression was performed to identify potential predictors of weight loss.

RESULTS:

70% of the subjects fulfilled the criterion of high response. There were no statistically significant differences between the two subgroups with respect to sociodemographic and baseline data. Regression analysis failed to identify any predictors for the amount of weight reduction. Subjects with high response showed a more distinct improvement in life satisfaction and neurovegetative stability. The findings indicated an association between the level of self-monitoring and weight loss.

CONCLUSIONS:

More research is needed to establish optimal strategies for maximizing the longer-term maintenance of weight loss and prevention effects. For weight reduction, support strategies like feedback learning through self-monitoring, reporting systems, and self-performance measurement with questionnaires might ameliorate high-intensity lifestyle modification programs.

KEYWORDS:

Lifestyle modification program IHM; Obesity; Self-monitoring; Web-based performance measurement; Weight maintenance

PMID:
28675897
DOI:
10.1159/000475663
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for S. Karger AG, Basel, Switzerland
Loading ...
Support Center