U.S. medical students personal health behaviors, attitudes and perceived skills towards weight management counseling.

Attitudes Exercise Health behaviors Medical students Weight management

Journal

Preventive medicine reports
ISSN: 2211-3355
Titre abrégé: Prev Med Rep
Pays: United States
ID NLM: 101643766

Informations de publication

Date de publication:
Jun 2022
Historique:
received: 12 10 2021
revised: 28 03 2022
accepted: 30 04 2022
entrez: 3 6 2022
pubmed: 4 6 2022
medline: 4 6 2022
Statut: epublish

Résumé

Physicians' abilities to address obesity in routine care may be affected by their own health behaviors, skills in and attitudes toward weight management counseling (WMC). Gender differences have been noted amongst these factors as well. We examined gender differences in personal health behaviors and predictors of perceived WMC skills and attitudes of medical students enrolled in a WMC trial. Enrollment took place in 2020 and consisted of students from eight U.S. medical schools. Baseline measures included demographics, exercise, and weight management behaviors, WMC attitudes and perceived skills. Descriptive statistics were calculated, and linear mixed models used to assess the effect of personal health behaviors on outcomes of WMC attitudes and perceived skills. Complete data were available for 1145 medical students. More males reported exercising 4 or more days/week (58.6% v. 41.4%), being more likely to monitor their weight (75.6% v. 70.3%) and less likely to intentionally attempt weight loss in the past (50.3% v. 65.3%) compared to females (all p's < 0.05). Exercising 4 or more days per week was positively associated with perceived WMC skills in the adjusted model (β = 0.10, CI 0.06 to 0.14, p < 0.01). Exercise frequency was positively associated with perceived WMC skills, regardless of gender. WMC curriculum may consider focusing on personal health behaviors such as exercise to increase perceived WMC skills.

Identifiants

pubmed: 35656208
doi: 10.1016/j.pmedr.2022.101814
pii: S2211-3355(22)00121-8
pmc: PMC9152782
doi:

Types de publication

Journal Article

Langues

eng

Pagination

101814

Subventions

Organisme : NHLBI NIH HHS
ID : K12 HL138049
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA194787
Pays : United States

Informations de copyright

© 2022 The Author(s).

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Jamie M Faro (JM)

University of Massachusetts Chan Medical School, Department of Population and Quantitative Health Sciences, 368 Plantation St., Worcester, MA, United States.

Lori Pbert (L)

University of Massachusetts Chan Medical School, Department of Population and Quantitative Health Sciences, 368 Plantation St., Worcester, MA, United States.

Sybil Crawford (S)

University of Massachusetts Chan Medical School, Department of Population and Quantitative Health Sciences, 368 Plantation St., Worcester, MA, United States.

Christine F Frisard (CF)

University of Massachusetts Chan Medical School, Department of Population and Quantitative Health Sciences, 368 Plantation St., Worcester, MA, United States.

Jyothi A Pendharkar (JA)

University of Massachusetts Chan Medical School, Department of Population and Quantitative Health Sciences, 368 Plantation St., Worcester, MA, United States.

Rajani S Sadasivam (RS)

University of Massachusetts Chan Medical School, Department of Population and Quantitative Health Sciences, 368 Plantation St., Worcester, MA, United States.

Alan C Geller (AC)

Harvard School of Public Health, Department of Social and Behavioral Sciences, 677 Huntington Ave., Cambridge, MA, United States.

Kathleen M Mazor (KM)

Meyers Health Care Institute, University of Massachusetts Medical School, 385 Grove St., Worcester, MA, United States.
University of Massachusetts Chan Medical School, Department of Medicine, 55 N Lake Ave., Worcester, MA, United States.

Judith K Ockene (JK)

University of Massachusetts Chan Medical School, Department of Population and Quantitative Health Sciences, 368 Plantation St., Worcester, MA, United States.

Classifications MeSH