Evidence mapPaperPMID 40670951Full record

ArticleBMC public health2025

Facilitators and barriers of reducing sedentary behavior in sedentary and non-sedentary older adults: a descriptive qualitative study based on the COM-B model and TDF.

Siqing Chen, Kaijie Yang, Albert Ko, Edward Giovannucci, Matthew Stults-Kolehmainen, Lili Yang

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Siqing ChenNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Kaijie YangNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Albert KoDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Edward GiovannucciDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Matthew Stults-KolehmainenDepartment of Biobehavioral Sciences, Teachers College, Columbia University, New York, NY, USA.
Lili YangNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China. 3200006@zju.edu.cn.

Funding

"Double First-Class" Construction Specialized Discipline Project at Zhejiang University HL202409Jinhua Science and Technology Bureau, China 2021-3-010Zhejiang University Doctoral New Star Program 2023097
6 · The paper itself

Abstract

backgroundProlonged sedentary behavior is a critical health risk for older adults. However, little is known about the distinct barriers and facilitators experienced by sedentary and non-sedentary older adults. Understanding these factors is essential for designing effective behavior change interventions. PURPOSE: The study aims to identify and categorize the barriers and facilitators to reducing sedentary behavior among sedentary and non-sedentary older adults using the Capability, Opportunity, Motivation-Behavior (COM-B) model and Theoretical Domains Framework (TDF), thereby informing future mobile health (mHealth) interventions designed to reduce sedentary time in this population.

methodsData were collected through semi-structured interviews with older adults, conducted at two community hospitals in China between July 2024 and September 2024. The interviews focused on older adults' psychological and physical capabilities, social and physical opportunities, and reflective and autonomous motivations related to sedentary behavior. According to the Canadian 24-Hour Movement Guidelines, participants were classified as sedentary (> 8 h/day sitting time) or non-sedentary (≤ 8 h/day) based on a participant characteristics questionnaire with verbal confirmation during the interview. The data were analyzed thematically, and the identified themes were mapped onto the COM-B model and TDF. Study procedures followed the COREQ checklist for qualitative research reporting.

resultsThe study included 29 older adults, comprising 19 sedentary (65.5%) and 10 non-sedentary (34.5%). The following ten higher-order themes were identified: Lack of Knowledge (and Limited Knowledge); Lack of Methods (and Available Methods); Sedentary Triggers (and Interruptions); Lack of Management (and Self-management); Lack of Social Support (and Available Social Support); Lack of Environmental Support (and Available Environment Support); Perceptions and Conflicts (and Importance and Effort); Lack of Confidence (and Confidence); Limited Belief (and Understanding Health Benefits); and Limited Motivation (and Sufficient Motivation).

conclusionSedentary older adults face barriers such as low awareness of health risks, lack of regulation strategies, and insufficient social support, while non-sedentary older adults demonstrate higher confidence, better self-regulation, and engage in structured activities supported by cues such as mobile health reminders.

Indexed as

Sedentary BehaviorAgedAged, 80 and overChinaFemaleHumansInterviews as TopicMaleMiddle AgedMotivationQualitative ResearchBarriersCOM-BFacilitatorsMobile healthOlder adultsSedentary behaviorTDF

Identifiers

PMID40670951
PMCPMC12265329

What Socratic holds

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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 Socratic graph.