Home › Research › Treatments
Assessing the Effectiveness of eHealth Interventions to Manage Multiple Lifestyle Risk Behaviors Among Older Adults: Systematic Review and Meta-Analysis
Shi B, Li G, Wu S, Ge H, Zhang X, Chen S, Pan Y, He Q.. Journal of medical Internet research, 2024-07-31
Topic: Risk, prevention and care in population studies
Background Developing adverse lifestyle behaviors increases the risk of a variety of chronic age-related diseases, including cardiovascular disease, obesity, and Alzheimer disease. There is limited evidence regarding the effectiveness of eHealth-based multiple health behavior change (MHBC) interventions to manage lifestyle risk behaviors. Objective The purpose of this systematic evaluation was to assess the effectiveness of eHealth MHBC interventions in changing ≥2 major lifestyle risk behaviors in people aged ≥50 years. Methods The literature search was conducted in 6 electronic databases-PubMed, Embase, Web of Science, Scopus, Cochrane Library, and SPORTDiscus-from inception to May 1, 2024. Eligible studies were randomized controlled trials of eHealth interventions targeting ≥2 of 6 behaviors of interest: alcohol use, smoking, diet, physical activity (PA), sedentary behavior, and sleep. Results A total of 34 articles with 35 studies were included. eHealth-based MHBC interventions significantly increased smoking cessation rates (odds ratio 2.09, 95% CI 1.62-2.70; P Conclusions eHealth-based MHBC interventions may be a promising strategy to increase PA, improve diet, and reduce smoking among older adults. However, the effect sizes were small. Further high-quality, older adult-oriented research is needed to develop eHealth interventions that can change multiple behaviors. Trial registration PROSPERO International Prospective Register of Systematic Reviews CRD42023444418; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023444418.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Shi, B., Li, G., Wu, S., Ge, H., Zhang, X., Chen, S., et al. (2024). Assessing the Effectiveness of eHealth Interventions to Manage Multiple Lifestyle Risk Behaviors Among Older Adults: Systematic Review and Meta-Analysis. Journal of medical Internet research. https://doi.org/10.2196/58174
Vancouver
Shi B, Li G, Wu S, Ge H, Zhang X, Chen S, et al. Assessing the Effectiveness of eHealth Interventions to Manage Multiple Lifestyle Risk Behaviors Among Older Adults: Systematic Review and Meta-Analysis. Journal of medical Internet research. 2024. doi:10.2196/58174. PMID: 39083787.
BibTeX
@article{shi2024-39083787,
author = {Shi, B. and Li, G. and Wu, S. and Ge, H. and Zhang, X. and Chen, S. and Pan, Y. and He, Q.},
title = {{Assessing the Effectiveness of eHealth Interventions to Manage Multiple Lifestyle Risk Behaviors Among Older Adults: Systematic Review and Meta-Analysis}},
journal = {Journal of medical Internet research},
year = {2024},
doi = {10.2196/58174},
pmid = {39083787},
url = {https://doi.org/10.2196/58174}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record names 8 authors; APA and Vancouver show the first six, BibTeX and the downloads carry all of them. Check the citation against the original before you use it.
Key findings
- Results A total of 34 articles with 35 studies were included. eHealth-based MHBC interventions significantly increased smoking cessation rates (odds ratio 2.09, 95% CI 1.62-2.70; P<.001), fruit intake (standardized mean difference [SMD] 0.18, 95% CI 0.04-0.32; P=.01), vegetable intake (SMD 0.17, 95% CI 0.05-0.28; P=.003), self-reported total PA (SMD 0.22, 95% CI 0.02-0.43; P=.03), and objectively measured moderate to vigorous PA (SMD 0.25, 95% CI 0.09-0.41; P=.002); in addition, the interventions decreased fat intake (SMD -0.23, 95% CI -0.33 to -0.13; P<.001).
Why it matters
This review of 35 studies found that eHealth interventions targeting multiple lifestyle behaviors increased smoking cessation and may improve physical activity and diet in older adults, though effect sizes were small. This concerns lifestyle risk behaviors, not directly treating, curing, or preventing Alzheimer's disease.
New to this subject? Start with our plain-English guide: Treatments →
Study details
- Participants34
- Evidence strengthHigh
How this study scored 59/100
Published in a peer-reviewed journal, and it is a meta-analysis pooling many studies. Scored zero for effect reported because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Journal of medical Internet research) |
| Journal's citation record | 3 / 4 | Journal of Medical Internet Research: journal h-index 286 (OpenAlex, 2026-10-29) |
| Study design | 12 / 12 | A meta-analysis pooling many studies (from PubMed type “Meta-Analysis”) |
| Strength of evidence | 5 / 5 | Rated “high” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2024 — within 3 year(s) of the newest study here |
| Sample size | 1 / 4 | 34 participants |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | A review of other studies — randomisation is not credited here |
| Times cited | 3 / 7 | Cited 17 times (OpenAlex, 2026-10-10) |
| Citations per year | 2 / 5 | 4.2 citations a year over 4 year(s) since 2024 |
| Impact for its field and year | 2 / 6 | Cited 2.1× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 2 / 4 | Cited 17 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 1 / 4 | Last-listed author Qiang He: h-index 16 (OpenAlex, whole career) |
| Institution's track record | 0 / 3 | Shandong University: institution h-index 615 (OpenAlex) |
| Multi-centre collaboration | 0 / 3 | OpenAlex lists 1 institution(s) in 1 country — scores zero (affiliation lists can be incomplete) |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 39083787) |
| Free to read | 2 / 2 | Free to read |
| Total | 59 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.2196/58174
- PubMed: 39083787
- Original source →
- Free full text: Journal of Medical Internet Research →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
Related studies in Treatments
Also tagged “delirium”
858 studies in the library carry the topic tag “delirium”; these are this study's neighbours in a fixed, alphabetical-by-hash tour of them, not the closest in content. All 858 tagged studies.