Mental and emotional representations of "weight loss": free-word association networks in members of bariatric surgery-related social media communities.

Bariatric surgery Body image dissatisfaction Emotional valence Free-word association Mindset Motivation Network Obesity Weight loss

Journal

Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery
ISSN: 1878-7533
Titre abrégé: Surg Obes Relat Dis
Pays: United States
ID NLM: 101233161

Informations de publication

Date de publication:
Sep 2020
Historique:
received: 18 09 2019
revised: 02 04 2020
accepted: 21 05 2020
pubmed: 16 7 2020
medline: 28 4 2021
entrez: 16 7 2020
Statut: ppublish

Résumé

Mindset and communication barriers may hinder the acceptance of bariatric surgery (BS) by the eligible patient population. To improve the understanding of expectations, opinions, emotions, and attitudes toward weight loss among patients with obesity. Switzerland, Germany, Austria. Survey data collected from BS-related social media communities (n = 1482). Participants were asked to write 5 words that first came to their mind about "weight loss," and to select 2 emotions, which best described their corresponding feelings. Demographic and obesity-related data were collected. Cognitive representations were constructed based on the co-occurrence network of associations, using validated data-driven methodology. Respondents were Caucasian (98%), female (94%), aged 42.5 ± 10.1 years, current/highest lifetime body mass index = 36.9 ± 9/50.7 ± 8.7 kg/m Patients with obesity in our study tend to think about weight loss along 2 cognitive schemes, either emphasizing its expected benefits or focusing on the process of achieving it. Benefit-focused respondents were more likely to consider BS, and to express hope rather than gratitude or pride. Novel communication strategies may increase the acceptance of BS by incorporating weight loss-related cognitive and emotional content stemming from patients' free associations.

Sections du résumé

BACKGROUND BACKGROUND
Mindset and communication barriers may hinder the acceptance of bariatric surgery (BS) by the eligible patient population.
OBJECTIVES OBJECTIVE
To improve the understanding of expectations, opinions, emotions, and attitudes toward weight loss among patients with obesity.
SETTING METHODS
Switzerland, Germany, Austria.
METHODS METHODS
Survey data collected from BS-related social media communities (n = 1482). Participants were asked to write 5 words that first came to their mind about "weight loss," and to select 2 emotions, which best described their corresponding feelings. Demographic and obesity-related data were collected. Cognitive representations were constructed based on the co-occurrence network of associations, using validated data-driven methodology.
RESULTS RESULTS
Respondents were Caucasian (98%), female (94%), aged 42.5 ± 10.1 years, current/highest lifetime body mass index = 36.9 ± 9/50.7 ± 8.7 kg/m
CONCLUSION CONCLUSIONS
Patients with obesity in our study tend to think about weight loss along 2 cognitive schemes, either emphasizing its expected benefits or focusing on the process of achieving it. Benefit-focused respondents were more likely to consider BS, and to express hope rather than gratitude or pride. Novel communication strategies may increase the acceptance of BS by incorporating weight loss-related cognitive and emotional content stemming from patients' free associations.

Identifiants

pubmed: 32665114
pii: S1550-7289(20)30320-8
doi: 10.1016/j.soard.2020.05.032
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1312-1320

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2020 American Society for Bariatric Surgery. Published by Elsevier Inc. All rights reserved.

Auteurs

Daniel Gero (D)

Department of Surgery and Transplantation, University Hospital Zurich, Zurich, Switzerland.

Bálint File (B)

Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary; Wigner Research Centre for Physics, Hungarian Academy of Sciences, Budapest, Hungary.

Noreen Hinrichs (N)

Department of Surgery and Transplantation, University Hospital Zurich, Zurich, Switzerland.

Matteo Mueller (M)

Department of Surgery and Transplantation, University Hospital Zurich, Zurich, Switzerland.

István Ulbert (I)

Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary; Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary.

Zoltán Somogyvári (Z)

Wigner Research Centre for Physics, Hungarian Academy of Sciences, Budapest, Hungary.

Marco Bueter (M)

Department of Surgery and Transplantation, University Hospital Zurich, Zurich, Switzerland. Electronic address: marco.bueter@usz.ch.

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Classifications MeSH