Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Predicting Weight Gain in Young Adults

Bibliographic Data

ID13670812
AuthorsDavid K Dodd (Eastern Illinois University, corresponding author)
Year1987
Volume60
Issue2
Pages501-502
Publication date1987-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePsychological Reports (JOURNAL)
Journal identifiersISSN: 0033-2941 • E-ISSN: 1558-691X
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.2466/pr0.1987.60.2.501
PMID3588796
OpenAlexW2316835595
LanguageEN
References cited6

Two brief longitudinal studies were conducted to develop a model to predict weight gain among young adults. Predictor variables were derived from set point, externality, and activity theories of obesity. The weights of college students (109 men and 127 women in Study 1; 24 women in Study 2) were monitored over a 3- to 4-mo. period. Measures of eating restraint, externality, and self-reported activity were generally unrelated to weight gain, although eating restraint was positively related to weight gain for men (33% of the male sample) who dropped out of the study before the final weigh-in. Discussion focused on the extremely high test-retest correlations of weight and on the relatively high dropout rare among men, two factors which mitigated against the present development of a predictive model of weight gain

Body weight · Developmental psychology · Dropout (neural networks · Longitudinal study · Obesity · Statistics · Weight gain · Clinical Psychology · Demography · Endocrinology · Grief, Bereavement, and Mental Health · Health disparities and outcomes · Homelessness and Social Issues · Medicine · Psychology

  • Anxiety, restraint, and eating behavior.

    C Peter Herman, Janet Polivy•Journal of Abnormal Psychology•1975

  • The social readjustment rating scale

    Open Access•Thomas H Holmes, Richard H Rahe•Journal of Psychosomatic Research•1967

  • Current status of the internal–external hypothesis for obesity

    Judith Rodin•American Psychologist•1981

Citation velocityhistorical
Highly citedNo

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae