ArticleAmerican journal of lifestyle medicine2023
Predictors of Patient Engagement With an Interprofessional Lifestyle Medicine Program.
Article in American journal of lifestyle medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
- Shared Medical Appointments to Improve Equitable Access to Rehabilitative Care for Long COVID.Cardiopulmonary physical therapy journal · 2025Article
- Predictors of Progressing Toward Lifestyle Change Among Participants of an Interprofessional Lifestyle Medicine Program.American journal of lifestyle medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Background: Changes in lifestyle habits can reduce morbidity and mortality, but not everyone who can benefit from lifestyle intervention is ready to do so. Purpose: To describe characteristics of patients who did and did not engage with a lifestyle medicine program, and to identify predictors of engagement. Methods: This was a single-center, retrospective cohort study of 276 adult patients who presented for consultation to a goal-directed, individualized, interprofessional lifestyle medicine program. The primary outcome was patients' extent of engagement. Candidate predictors considered in multivariable multinomial logistic regression models included baseline sociodemographic, psychological, and health-related variables. Results: A predictor of full engagement over no engagement was having private or Medicare insurance (rather than Medicaid, other, or no insurance) (OR 4.2 [95% CI 1.3-14.2], Conclusions: System-level efforts to support coverage of lifestyle medicine services by all insurers may improve equitable engagement with lifestyle medicine programs. Furthermore, when assessing patients' readiness to engage with a lifestyle medicine program, clinicians should consider and address their goals of participation.
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Registered trials
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