Public Health Nutrition · 2015 · 14 citations · 85 references
Public HealthNutritionNutritional SciencesHuman NutritionNutritional EpidemiologyObesity PreventionBehavior Change StrategiesDietary ManagementDietary Pattern AnalysisDietary PatternsWeight LossWeight ManagementDietary Macronutrient PatternsDietary Pattern ChangeLinear Mixed ModelsLogistic RegressionLogistic Regression AnalysisMixed Linear ModelsWeight Loss ReductionWeight Management Through Diet
OBJECTIVE: To examine the weight-loss success associated with distinct dietary patterns and to determine changes of these dietary patterns during participation in a web-based weight-reduction programme. DESIGN: Factor analysis was used to identify the dietary patterns of twenty-two food groups that were administered in 14 d dietary protocols at baseline and after 3 months. Successful weight loss (≥5% of initial weight) and BMI were calculated. Logistic regression analyses were used to assess the rates of weight-loss success from each dietary pattern and changing or remaining in the initial dietary pattern. A generalised linear mixed model was used to estimate the effects of changing or staying in a dietary pattern on change in BMI. SUBJECTS: Adults (n 1635) aged 18-81 years. SETTING: Users of a web-based weight-reduction programme (2006-2012). RESULTS: Participants who aligned to a healthful dietary pattern at baseline (OR=1·8; 95% CI 1·5, 2·3) and after 3 months (OR=1·5; 95% CI 1·2, 1·9) had a greater chance of successfully losing weight. After adjusting for age, sex, initial dietary pattern and BMI, participants who started with or changed to the healthful dietary pattern had a greater chance of being successful (OR=1·4; 95% CI 1·1, 1·7) and a higher BMI reduction of 0·30 (95% CI 0·2, 0·5) kg/m(2) compared with those who started with or changed to the energy-dense or high-carbohydrate dietary pattern. CONCLUSIONS: A favourable healthful dietary pattern at the beginning and after 3 months was positively associated with anthropometry. However, successful weight loss was feasible in each dietary pattern.
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Predicting basal metabolic rate, new standards and review of previous work.
Schofield Wn · PubMed · 1985 · 2.9K citations
Nicholas R. Fuller, Stephen Colagiuri, Deborah Schofield et al. · International Journal of Obesity · 2012 · 2.1K citations · Full text
Pharmacy, Health Services Administration, Pharmacoeconomics +17