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Patterns of weight loss and their determinants in a sample of adults with overweight and obesity intending to lose weight.
- Source :
- Nutrition & Dietetics; Apr2020, Vol. 77 Issue 2, p240-246, 7p, 1 Diagram, 2 Charts, 1 Graph
- Publication Year :
- 2020
-
Abstract
- Aim: Weight loss success is highly variable among individuals. Cluster analysis contributes to future intervention development by recognising this individual variability and identifying different weight loss patterns. Identifying determinants that differentiate between these patterns would explain the source of variability. Thus, we aimed to identify weight loss patterns and their determinants in adults with overweight and obesity. Methods: The present study is a secondary analysis of data from the PortionControl@HOME study. The weight of 175 adults was measured at 0, 3 and 12 months and potential determinants were self‐reported using validated questionnaires at 0 and 3 months. Weight loss patterns were identified based on percent weight change during Phase 1 (0–3 months) and Phase 2 (3–12 months) using cluster analysis. Determinants were assessed using multinomial logistic regression. Results: We identified three weight loss patterns: (i) low success, demonstrating low weight loss achievement, (ii) moderate success, demonstrating successful weight loss in Phase 1 followed by partial regain in Phase 2 and (iii) high success, demonstrating weight loss in Phase 1 followed by continued weight loss in Phase 2. Compared to the moderate success pattern, the low success pattern was negatively associated with power of food at baseline (i.e. the appetitive drive to consume highly palatable food) (odds ratio, OR = 0.42, 95% CI = 0.21–0.86) and change in portion control behaviour (i.e. the use of behavioural strategies to control the amount of food consumed) (OR = 0.28, 95% CI = 0.10–0.78). Conclusions: Three weight loss patterns were identified in adults with overweight and obesity. Adults with greater power of food and increased portion control behaviour were less likely to exhibit an unsuccessful weight loss pattern. [ABSTRACT FROM AUTHOR]
- Subjects :
- REGULATION of body weight
CHI-squared test
CLUSTER analysis (Statistics)
CONFIDENCE intervals
STATISTICAL correlation
FOOD habits
HEALTH promotion
LOCAL government
OBESITY
RESEARCH funding
WEIGHT loss
FOOD portions
LOGISTIC regression analysis
SECONDARY analysis
DATA analysis software
DESCRIPTIVE statistics
ODDS ratio
Subjects
Details
- Language :
- English
- ISSN :
- 14466368
- Volume :
- 77
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Nutrition & Dietetics
- Publication Type :
- Academic Journal
- Accession number :
- 142522447
- Full Text :
- https://doi.org/10.1111/1747-0080.12489