Observational studyEating behaviors2019
Lack of prospective relationships of the Power of Food Scale with Body Mass Index and dieting over 2 years in U.S. emerging adults.
Observational study in Eating behaviors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed, 9 citations in OpenAlex.
- Psychometric properties of the Power of Food Scale during pregnancy and postpartum.Journal of health psychology · 2025Article
- Examining the ecological validity of the Power of Food Scale.Eating and weight disorders : EWD · 2021Article
- Reward-related eating, self-regulation, and weight change in pregnancy and postpartum: the Pregnancy Eating Attributes Study (PEAS).International journal of obesity (2005) · 2020Observational
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThis 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.
methodsPFS (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.
resultsBaseline participant mean ± SE age was 20.3 ± 0.02 years. Mean BMI increased by approximately 0.6 kg/m
conclusionsGreater PFS is associated with dieting cross-sectionally but was not a reliable indicator of susceptibility to future weight outcomes or dieting in young adults.
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Registered trials
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