Social-media based Health Education plus Exercise Programme (SHEEP) to improve muscle function among community-dwelling young-old adults with possible sarcopenia in China: A study protocol for intervention development.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 16 05 2023
accepted: 07 02 2024
medline: 28 3 2024
pubmed: 28 3 2024
entrez: 28 3 2024
Statut: epublish

Résumé

Possible sarcopenia refers to low muscle strength. Prevalence of possible sarcopenia is estimated to be significantly higher in community-dwelling older adults than that of confirmed or severe sarcopenia. However, there are currently far fewer non-pharmacological intervention strategies for possible sarcopenia than for sarcopenia in the community. Meanwhile, one type of non-pharmacological intervention in sarcopenic area, health education, is under-researched, and older people's awareness about sarcopenia is extremely low, necessitating an immediate dissemination tool for prevention. Social media may be a potential, scalable, low-cost tool for this. This study protocol outlines how a social media-based multicomponent intervention will be co-designed with stakeholders to address this evidence gap. Guided by the Medical Research Council's framework, the proposed research covers two phases that employ a co-design approach to develop a theory-based multicomponent intervention to increase sarcopenia prevention in the community. The participants will be recruited from young-old adults (60~69) with possible sarcopenia in the community of Changsha, China. Maximum sample size will be 45 participants in total, with 18~25 participants in the development phase and 15~20 participants in the pre-test phase. During two rounds of focus groups with older adults, a social-media based intervention strategy will be developed from a theory-based conceptual model and an initial intervention plan formulated by the research group. After this, there will be a three-week pre-test phase, followed by a semi-structured interview to further modify the theory-based conceptual model and the social-media based intervention strategy. The focus of the data analysis will be on thematic analysis of qualitative data primarily derived from the group interview and the semi-structured interview with key stakeholders.

Identifiants

pubmed: 38547178
doi: 10.1371/journal.pone.0286490
pii: PONE-D-23-14790
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0286490

Informations de copyright

Copyright: © 2024 Shi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Ya Shi (Y)

School of Health Sciences, Faculty of Biology, Medicine & Health, The University of Manchester, Manchester, United Kingdom.
School of Nursing & School of Public Health, Yangzhou University, Yangzhou, Jiangsu Province, China.

Emma Stanmore (E)

School of Health Sciences, Faculty of Biology, Medicine & Health, The University of Manchester, Manchester, United Kingdom.
Manchester Institute for Collaborative Research on Ageing, Manchester, United Kingdom.
Manchester Academic Health Science Centre, Manchester, United Kingdom.
Manchester University NHS Foundation Trust, Manchester, United Kingdom.

Lisa McGarrigle (L)

School of Health Sciences, Faculty of Biology, Medicine & Health, The University of Manchester, Manchester, United Kingdom.
Manchester Institute for Collaborative Research on Ageing, Manchester, United Kingdom.
Manchester Academic Health Science Centre, Manchester, United Kingdom.

Chris Todd (C)

School of Health Sciences, Faculty of Biology, Medicine & Health, The University of Manchester, Manchester, United Kingdom.
Manchester Institute for Collaborative Research on Ageing, Manchester, United Kingdom.
Manchester Academic Health Science Centre, Manchester, United Kingdom.
Manchester University NHS Foundation Trust, Manchester, United Kingdom.

Classifications MeSH