Evidence map›Paper›PMID 41120164›Full record

ArticleBMJ open2025

Understanding the effectiveness of mHealth interventions incorporating behaviour change techniques in reducing sitting time in older adults: a protocol for a systematic review and meta-analysis.

Siqing Chen, Chen Wu, Carol Ewing Garber, Matthew Stults-Kolehmainen, Edward Giovannucci, Lili Yang

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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.ORCID http://orcid.org/0000-0001-8683-4206
Chen WuDepartment of Nursing, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang, China.ORCID http://orcid.org/0009-0004-8865-7732
Carol Ewing GarberDepartment of Biobehavioral Sciences, Teachers College, Columbia University, New York, New York, USA.ORCID http://orcid.org/0000-0002-1268-576X
Matthew Stults-KolehmainenDepartment of Biobehavioral Sciences, Teachers College, Columbia University, New York, New York, USA.
Edward GiovannucciDepartment of Epidemiology, Harvard T H Chan School of Public Health, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0002-6123-0219
Lili YangNursing department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China 3200006@zju.edu.cn.ORCID http://orcid.org/0000-0002-4587-1438

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo address the growing prevalence of sedentary behaviours among older adults and their associated adverse health outcomes, there is an urgent need to prioritise effective and accessible interventions. Mobile health (mHealth) delivers healthcare services and health-related information through portable electronic devices, enabling interventions to be administered directly in home settings. However, the evidence on the effectiveness of mHealth interventions in reducing sitting time among older adults remains inconsistent. To derive literature-based estimates of the effectiveness of mHealth interventions, we will systematically review and meta-analyse the impact of these interventions on sitting time in adults aged 55 years and older. METHODS AND ANALYSIS: An electronic search of PubMed, Embase, Web of Science and Cochrane will be conducted from database inception to March 2025 to identify randomised controlled trials evaluating the effects of mHealth interventions on sitting time during waking hours, excluding sleep duration. Subgroup analyses will explore potential moderators (eg, participant characteristics, intervention specifics). Studies from all settings (eg, community, long-term care facilities, etc) will be considered. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines will be explicitly applied for structuring this report. Methodological quality will be assessed using the Cochrane Handbook tool. Two independent reviewers will screen the studies and extracted data, with methodological quality to be assessed using established criteria. Meta-analyses will be performed using Review Manager v.5.4 software. ETHICS AND DISSEMINATION: This study uses secondary data and, therefore, does not require ethics approval. The findings will be communicated through presentations at international conferences and published in peer-reviewed journals. The results will inform the development of future mHealth interventions aimed at reducing sedentary behaviour in older adults and provide benchmarks for the effectiveness of technology-driven public health strategies. This protocol adheres to the PRISMA guidelines and follows the Cochrane Handbook for Systematic Reviews of Interventions for methodological rigour. PROSPERO REGISTRATION NUMBER: CRD42023443926.

Indexed as

Behavior TherapySedentary BehaviorSitting PositionTelemedicineAgedHumansMeta-Analysis as TopicMiddle AgedResearch DesignSystematic Reviews as TopicAgedClinical ProtocolsMeta-Analysis

Identifiers

PMID41120164
PMCPMC12542536

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.