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Record W4290052936 · doi:10.2196/37315

Web-Based Interventions to Promote Healthy Lifestyles for Older Adults: Scoping Review

2022· article· en· W4290052936 on OpenAlexafffundvenue
Audrey Lavoie, Véronique Dubé

Bibliographic record

VenueInteractive Journal of Medical Research · 2022
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversité de MontréalCentre Hospitalier de l’Université de Montréal
FundersCanadian Institutes of Health ResearchInstitut de Cardiologie de MontréalFondation Institut de Cardiologie de MontréalUniversité de MontréalRéseau de recherche portant sur les interventions en sciences infirmières du Québec
KeywordsCINAHLPsycINFOPsychological interventionConceptualizationMEDLINEGerontologySystematic reviewMedicineCochrane LibraryThematic analysisPopulationQualitative researchPsychologyMeta-analysisNursingComputer scienceEnvironmental healthSocial science

Abstract

fetched live from OpenAlex

BACKGROUND: With the aging of the population and rising rates of chronic diseases, web-based interventions could be considered to support older adults in adopting healthy lifestyles. To date, published knowledge syntheses have focused on quantitative studies among older adults aged ≥50 years. However, those aged ≥65 years may have different needs to be met by these interventions because of the biological and physiological changes associated with aging, and qualitative studies could help advance knowledge in this field. OBJECTIVE: The objective of this scoping review is to explore the extent of the literature on web-based interventions aimed at promoting healthy lifestyles among people aged ≥65 years. METHODS: A scoping review was conducted based on the framework proposed by Levac et al. Six databases (ie, MEDLINE, CINAHL, PsycINFO, Web of Science, the Cochrane Database of Systematic Reviews, and the Joanna Briggs Library) and gray literature (ie, Google Scholar and OpenGrey) were searched. The final search was conducted on June 23, 2021. The studies were selected by 2 persons (AL and ML) independently. The included studies were systematic reviews and qualitative and quantitative studies focusing on web-based interventions to promote healthy lifestyles in people aged ≥65 years that were published in French or English between 1990 and 2021. Data were extracted in a table and synthesized based on the conceptualization of web-based interventions (ie, according to the use parameters, behavior change techniques, delivery modes, and theories). A thematic analysis was performed. RESULTS: In total, 20 articles were included in this review, which represents studies focused on 11 distinct interventions. All of the interventions (11/11, 100%) aimed to promote physical activity among older adults. The number of intervention sessions varied from 5 to 16, with a frequency from daily to once every 2 weeks. Diverse delivery modes such as electronic diary, video, and phone call were found. The most used behavior change techniques were instruction, feedback, and self-monitoring. Few interventions (6/11, 55%) were based on a theory. A favorable trend was observed in increasing physical activity, and 5 themes emerged that appeared to be central to behavior change among older adults: motivation, support, tailoring, barriers, and perceptions. CONCLUSIONS: This scoping review provides a better understanding of the components of web-based interventions and their outcomes on the healthy lifestyles of people aged ≥65 years. These findings could provide important guidance for the design and development of future web-based interventions in this field. Further research is needed to continue the development and evaluation of innovative and accessible interventions to promote healthy lifestyles among older adults. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/23207.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.766
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.178
GPT teacher head0.569
Teacher spread0.391 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations31
Published2022
Admission routes3
Has abstractyes

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