ReviewPatient preference and adherence2023
Determinants of Non-Adherence to Exercise or Physical Activity in People with Metabolic Syndrome: A Mixed Methods Review.
Review in Patient preference and adherence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Facilitators and Barriers to Physical Activity Participation in Older Adults With Mild Cognitive Impairment or Dementia: A Systematic Review Based on the COM-B Model.American journal of Alzheimer's disease and other dementiasPooled it
- Adherence to exercise in breast cancer survivors during and after active treatment: A systematic review and meta-analysis.JSAMS plus · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Long-term adherence to exercise or physical activity (EPA) is necessary for effective first-line management of metabolic syndrome (MetS). Little is known about the determinants of adherence in this population. This systematic review aims to identify the determinants of adherence to EPA in people with MetS. Methods: Six databases (MEDLINE, CINAHL Complete, PubMed, PsycINFO, SPORTDiscus, and Cochrane Central Register of Controlled Trials (CENTRAL)) were searched for studies published before April 26, 2021. Primary research studies investigating factors affecting EPA adherence in adults with MetS in outpatient settings were included. Risk of bias was assessed using the QUIPS (Quality in Prognostic Factor Studies) and CASP (Critical Appraisal Skills Program) tools, for quantitative and qualitative methodologies, respectively. Results: Four quantitative studies (n = 766) and one qualitative (n = 21) study were included in the review, evaluating 34 determinants of adherence to EPA in MetS. Limited evidence was found for an association between ten determinants and non-adherence to EPA: lower self-rated health, lower baseline EPA, lower high-density lipoprotein cholesterol (HDL-C), fewer walk-friendly routes within 1 km, less consciousness raising, lower self-re-evaluation, lower self-liberation, reporting more arguments against EPA (cons), lower social support, and fewer positive psychological constructs. There was limited evidence of no association or conflicting evidence for the remaining 24 determinants. Conclusion: A small number of included studies, most of low methodological quality, resulted in limited confidence in the findings for all determinants. The identified determinants associated with non-adherence are all potentially modifiable, thus further high-quality studies are required to increase confidence in the determinants of EPA in people with MetS, and test interventions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.