Eating behaviors · 2019
Lack of prospective relationships of the Power of Food Scale with Body Mass Index and dieting over 2 years in U.S. emerging adults.
СтатьяНаблюдательное исследованиеResearch Support, N.I.H., IntramuralНазвание и аннотация: Перевод пока не подготовлен
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Lipsky Leah M, Nansel Tonja R, Haynie Denise L, Liu Danping, Eisenberg Colman Miriam H, Simons-Morton Bruce
Аннотация
BACKGROUND: This study investigated prospective relationships of the Power of Food Scale (PFS), a self-report measure of hedonic hunger, with weight outcomes and dieting in U.S. young adults.
METHODS: PFS (PFS-aggregate and subscales: PFS-available, PFS-present, PFS-tasted) was assessed in waves (W, years) 5 and 6 of a nationally representative cohort of 10th graders assessed annually (baseline n = 2785, 83% retention at W7). Internal consistency (Cronbach's α), 1-year stability (intraclass correlation coefficient, ICC) and confirmatory factor analysis (CFA) were examined. Analyses accounting for the complex survey design examined cross-sectional associations of W6 PFS with W6 BMI and dieting, and prospective relationships of PFS in each wave with BMI, 1-year BMI change (BMIΔ, W6-W5 and W7-W6), overweight/obesity onset (OWOB, moving to a higher risk weight category) and dieting in the following wave. Multiple imputations addressed missing data.
RESULTS: Baseline participant mean ± SE age was 20.3 ± 0.02 years. Mean BMI increased by approximately 0.6 kg/m2 from W5 through W7; OWOB occurred in 7.4% of participants between W5-W6; 9.0% between W6-W7. Approximately half the sample reported dieting in each wave. W6 weight outcomes were not associated with W6 PFS, but W6 dieting frequency was positively associated with W6 PFS-available, PFS-present, and PFS-aggregate (but not PFS-tasted) in multivariable models. PFS was not prospectively associated with weight outcomes. Positive prospective associations of PFS with dieting frequency were inconsistent across waves and with respect to inclusion of covariates.
CONCLUSIONS: Greater PFS is associated with dieting cross-sectionally but was not a reliable indicator of susceptibility to future weight outcomes or dieting in young adults.
METHODS: PFS (PFS-aggregate and subscales: PFS-available, PFS-present, PFS-tasted) was assessed in waves (W, years) 5 and 6 of a nationally representative cohort of 10th graders assessed annually (baseline n = 2785, 83% retention at W7). Internal consistency (Cronbach's α), 1-year stability (intraclass correlation coefficient, ICC) and confirmatory factor analysis (CFA) were examined. Analyses accounting for the complex survey design examined cross-sectional associations of W6 PFS with W6 BMI and dieting, and prospective relationships of PFS in each wave with BMI, 1-year BMI change (BMIΔ, W6-W5 and W7-W6), overweight/obesity onset (OWOB, moving to a higher risk weight category) and dieting in the following wave. Multiple imputations addressed missing data.
RESULTS: Baseline participant mean ± SE age was 20.3 ± 0.02 years. Mean BMI increased by approximately 0.6 kg/m2 from W5 through W7; OWOB occurred in 7.4% of participants between W5-W6; 9.0% between W6-W7. Approximately half the sample reported dieting in each wave. W6 weight outcomes were not associated with W6 PFS, but W6 dieting frequency was positively associated with W6 PFS-available, PFS-present, and PFS-aggregate (but not PFS-tasted) in multivariable models. PFS was not prospectively associated with weight outcomes. Positive prospective associations of PFS with dieting frequency were inconsistent across waves and with respect to inclusion of covariates.
CONCLUSIONS: Greater PFS is associated with dieting cross-sectionally but was not a reliable indicator of susceptibility to future weight outcomes or dieting in young adults.