Open AccessPredictive utility of subtyping women smokers on depression, eating, and weight-related symptoms.
Author(s) -
Rachel H. Salk,
Lisa J. Germeroth,
Rebecca L. Emery,
Rachel P. Kolko Conlon,
Zheng Wang,
Yu Cheng,
Marsha D. Marcus,
Kenneth A. Perkins,
Michele D. Levine
Publication year - 2019
Publication title -
health psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.548
H-Index - 164
eISSN - 1930-7810
pISSN - 0278-6133
DOI - 10.1037/hea0000702
Subject(s) - subtyping , depression (economics) , clinical psychology , psychology , psychiatry , medicine , computer science , economics , macroeconomics , programming language
Smoking and overweight or obesity are preventable causes of disease and death. Women are reluctant to quit smoking because of concerns about postcessation weight gain, underscoring the need to elucidate patterns of weight concerns and associated psychosocial factors that may affect smoking cessation outcomes. The present study aimed to subtype women smokers based on psychosocial and behavioral factors associated with smoking and weight, and examine the utility of these subtypes to predict abstinence and postcessation weight gain.