Evidence mapPaperPMID 42275410Full record

ArticleJournal of medical Internet research2026

Development of an mHealth Intervention for Reducing Sedentary Behavior in Older Adults: Delphi Study.

Siqing Chen, Xiaofei Nie, Jiekai Yang, Yaqin Li, Lili Yang

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Siqing ChenNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Road, Hangzhou, Zhejiang, 310016, China, 86 13429168765.ORCID http://orcid.org/0000-0001-8683-4206
Xiaofei NieNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Road, Hangzhou, Zhejiang, 310016, China, 86 13429168765.ORCID http://orcid.org/0009-0000-6970-2754
Jiekai YangNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Road, Hangzhou, Zhejiang, 310016, China, 86 13429168765.ORCID http://orcid.org/0009-0000-2303-7517
Yaqin LiNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Road, Hangzhou, Zhejiang, 310016, China, 86 13429168765.ORCID http://orcid.org/0009-0009-7348-5524
Lili YangNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Road, Hangzhou, Zhejiang, 310016, China, 86 13429168765.ORCID http://orcid.org/0000-0002-4587-1438

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sedentary behavior among older adults is a major public health concern, contributing to the increased risk of chronic diseases and functional decline. With aging populations worldwide, prolonged sitting time (averaging up to 13 h/d in older adults) has been independently associated with cardiovascular disease, metabolic disorders, cognitive decline, and all-cause mortality. Mobile health (mHealth) interventions offer a promising approach to address this issue. However, there remains a lack of evidence-based, systematically developed mHealth programs specifically targeting sedentary behavior in older populations. Objective: This study aimed to develop an mHealth intervention program for reducing sedentary behavior in older adults using the Delphi consensus method. Methods: Guided by the Behavior Change Wheel framework, a preliminary mHealth intervention was developed using a combination of qualitative and quantitative methods, including a comprehensive literature review, clinical guidelines analysis, qualitative interviews, and a cross-sectional survey. The intervention was then refined through 2 rounds of Delphi surveys with 16 multidisciplinary experts in geriatric care, behavioral science, and health promotion. Consensus criteria were predefined as mean importance score >3.5 and coefficient of variation ≤0.25 on a 5-point Likert scale. Results: Both Delphi rounds achieved 100% response rates, with high expert authority coefficients (Cr=0.900 for Round 1 and Cr=0.907 for Round 2). The Kendall coordination coefficients (Kendall W) were 0.151 (P<.001) and 0.214 (P=.001) for the 2 rounds, respectively. Following 2 rounds of expert consultation, a total of 27 intervention items were finalized, comprising 3 core components addressing capability (eg, knowledge provision and behavioral skills training), opportunity (eg, social support and environmental restructuring), and motivation (eg, goal-setting, feedback, and incentives) factors influencing sedentary behavior. Conclusions: This study developed a theoretical framework-based, consensus-driven mHealth intervention program for reducing sedentary behavior in older adults. The intervention uniquely integrates the Behavior Change Wheel framework with expert validation, offering a comprehensive approach that simultaneously targets capability, opportunity, and motivation. The findings provide a structured foundation for future feasibility testing and effectiveness evaluation of mHealth interventions in aging populations. Future researchers should translate the developed mHealth intervention into an adaptive mHealth platform, followed by pilot testing and large-scale randomized controlled trials to evaluate its feasibility and effectiveness in real-world settings.

Indexed as

Health PromotionSedentary BehaviorTelemedicineAgedCross-Sectional StudiesDelphi TechniqueDigital HealthFemaleHumansMaleChinaDelphi techniquemobile healtholder adultssedentary behavior

Identifiers

PMID42275410
PMCPMC13256482

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.