Ying Liu1, Victoria Shier2, Sara King3, Ashlesha Datar1. 1. Center for Economic and Social Research, 5116University of Southern California, Los Angeles, CA, USA. 2. Schaeffer Center for Health Policy and Economics, Sol Price School of Public Policy, 5116University of Southern California, Los Angeles, CA, USA. 3. 1068University of Maryland, College Park, MD, USA.
Abstract
PURPOSE: The purpose is to compare the predictive utility of alternate measures of diet and physical activity for overweight and obesity among low-income minority women. DESIGN: Cross-sectional analysis of baseline data from a cohort study. SETTING: Three public housing developments in South Los Angeles.Subjects: Adult women (N = 425). MEASURES: Primary outcome-weight status (normal BMI, overweight, or obese). Primary predictors- diet: 24-hour dietary recalls (Healthy Eating Index), dietary screener (intake of specific food groups), and single-item survey question (diet quality); physical activity: accelerometry (minutes/day of moderate-to-vigorous activity), short recall questionnaire (minutes/week of moderate and vigorous activity), and single-item questions (days per week did exercise; self-assessment of overall activity level). ANALYSIS: Multinomial logistic regression models, controlling for socio-demographic covariates. Models are built up starting with least resource-intensive measures of diet and physical activity (single items) and sequentially adding more resource-intensive measures. Model performance is assessed via information-based model selection indices. RESULTS: Adjusted relative risk for obesity for single-item measures ranged from .61 to .64 for diet (P < .01) and from .80 to .81 for physical activity (P <.05). The added value of resource-intensive measures was negligible for physical activity and at best small for diet. CONCLUSION: Single-item questions for diet and physical activity can provide valuable information about risk for overweight and obesity in low-income minority women when more resource-intensive assessments are infeasible.
PURPOSE: The purpose is to compare the predictive utility of alternate measures of diet and physical activity for overweight and obesity among low-income minority women. DESIGN: Cross-sectional analysis of baseline data from a cohort study. SETTING: Three public housing developments in South Los Angeles.Subjects: Adult women (N = 425). MEASURES: Primary outcome-weight status (normal BMI, overweight, or obese). Primary predictors- diet: 24-hour dietary recalls (Healthy Eating Index), dietary screener (intake of specific food groups), and single-item survey question (diet quality); physical activity: accelerometry (minutes/day of moderate-to-vigorous activity), short recall questionnaire (minutes/week of moderate and vigorous activity), and single-item questions (days per week did exercise; self-assessment of overall activity level). ANALYSIS: Multinomial logistic regression models, controlling for socio-demographic covariates. Models are built up starting with least resource-intensive measures of diet and physical activity (single items) and sequentially adding more resource-intensive measures. Model performance is assessed via information-based model selection indices. RESULTS: Adjusted relative risk for obesity for single-item measures ranged from .61 to .64 for diet (P < .01) and from .80 to .81 for physical activity (P <.05). The added value of resource-intensive measures was negligible for physical activity and at best small for diet. CONCLUSION: Single-item questions for diet and physical activity can provide valuable information about risk for overweight and obesity in low-income minority women when more resource-intensive assessments are infeasible.
Entities:
Keywords:
body mass index (BMI); dietary screener; instrument validation; measurement; obesity; physical activity
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