Retrospective cohort study of the South Tyneside Exercise Referral Scheme 2009–14: predictors of dropout and barriers to adherence
Autor: | Nick Caplan, Caroline J. Dodd-Reynolds, Sarah Partington, Diane Walker, Michael C Kelly, Glen C Rae |
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Rok vydání: | 2016 |
Předmět: |
Adult
Male medicine.medical_specialty Adolescent Referral education Health Promotion Logistic regression behavioral disciplines and activities Young Adult 03 medical and health sciences Sex Factors 0302 clinical medicine Risk Factors health services administration mental disorders medicine Humans 030212 general & internal medicine Young adult Exercise Referral and Consultation health care economics and organizations Dropout (neural networks) Aged Retrospective Studies business.industry 030503 health policy & services Public health Age Factors Public Health Environmental and Occupational Health Retrospective cohort study General Medicine Middle Aged Exercise referral medicine.disease Comorbidity England Physical therapy Patient Compliance Female 0305 other medical science business Demography |
Zdroj: | Journal of public health, 2016, Vol.39(4), pp.e257-e264 [Peer Reviewed Journal] |
ISSN: | 1741-3850 1741-3842 |
DOI: | 10.1093/pubmed/fdw122 |
Popis: | Background Exercise Referral Schemes (ERS) are a prevalent method of increasing physical activity levels. However, they suffer from participant dropout and research predicting dropout or barriers to adherence are limited. This study aimed to focus upon the effect of referral characteristics on dropout, dropout predictors and whether self-reported barriers to exercise predict dropout. Methods ERS data from 2009 to 2014 were retrieved for analysis. Chi-squared and t-tests were used to investigate differences between referral characteristics, and logistic regression used to investigate dropout predictors. Results Of 6894 participants, 37.8% (n = 2608) dropped out within 6 weeks and 50.03% (n = 3449) by the final 12th week. More males adhered (P < 0.001) with dropouts being significantly younger (P < 0.001). Dropout predictors were smoking (OR = 1.58, 95% CI: 1.29–1.93) or being a Tier 3 referral (OR = 1.47, 95% CI: 1.25–1.73). Increasing age (OR = 0.98, 95% CI: 0.98–0.99), drinking alcohol (OR = 0.82, 95% CI: 0.71–0.95), secondary care referrals (OR = 0.68, 95% CI: 0.52–0.90), having a lack of motivation (OR = 0.81, 95% CI: 0.69–0.95) or a lack of childcare (OR = 0.69, 95% CI: 0.50–0.95) decreased the likelihood of dropout. Conclusion ERS dropout continues to be problematic. Smoking and having moderate-high comorbidities predicted dropout. Increasing age and patient-reported barriers of a lack of time or childcare decreased dropout risk. The reasons for dropout require further investigation. |
Databáze: | OpenAIRE |
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