Trial reportHealth psychology : official journal of the Division of Health Psychology, American Psychological Association2019
Predictive utility of subtyping women smokers on depression, eating, and weight-related symptoms.
Trial report in Health psychology : official journal of the Division of Health Psychology, American Psychological Association, 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 12 citations in OpenAlex.
- Determinants of smoking related weight-concern in smokers participating in a community-based cessation program.Eating behaviors · 2023Trial
- Motivational Interviewing to Promote Healthy Lifestyle Behaviors: Evidence, Implementation, and Digital Applications.Journal of multidisciplinary healthcare · 2025Review
- Dietary Risk Factors and Eating Behaviors in Peripheral Arterial Disease (PAD).International journal of molecular sciences · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
objectiveSmoking 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.
methodWeight-concerned women (N = 343) were randomized to 1 of 2 smoking cessation counseling adjuncts and 1 of 2 cessation medication conditions. At baseline, women were weighed and completed measures of depression, weight or appearance concerns, and eating behaviors. At 3-, 6-, and 12-months after the target quit date, women were weighed and completed self-report and biochemical smoking assessments.
resultsLatent profile (LP) analyses supported a 3-profile model. The groups had typical (53%, LP1), minimal (33%, LP2), and high (14%, LP3) levels of depressive symptoms and weight concerns. At 12-months posttarget quit date, women in LP3 were more likely to relapse than women in LP1 (odds ratio, OR = 2.93). Among abstinent women, those in LP2 and LP3 gained more postcessation weight than those in LP1.
conclusionsHeterogeneity in symptoms of depression, weight or appearance concerns, and eating behaviors was captured by three groups of women smokers, with unique risks for relapse and postcessation weight gain. The distinct profiles identified may help personalize the delivery of care for smoking cessation and, ultimately, reduce disease risk. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.