Eligibility for interventions, co-occurrence and risk factors for unhealthy behaviours in patients consulting for routine primary care: results from the Pre-Empt study
- PMID: 26453044
- PMCID: PMC4600219
- DOI: 10.1186/s12875-015-0359-x
Eligibility for interventions, co-occurrence and risk factors for unhealthy behaviours in patients consulting for routine primary care: results from the Pre-Empt study
Abstract
Background: Smoking, excessive drinking, lack of exercise and a poor diet remain key causes of premature morbidity and mortality globally, yet it is not clear what proportion of patients attending for routine primary care are eligible for interventions about these behaviours, the extent to which they co-occur within individuals, and which individuals are at greatest risk for multiple unhealthy behaviours. The aim of the trial was to examine 'intervention eligibility' and co-occurrence of the 'big four' risky health behaviours - lack of exercise, smoking, an unhealthy diet and excessive drinking - in a primary care population.
Methods: Data were collected from adult patients consulting routinely in general practice across South Wales as part of the Pre-Empt study; a cluster randomised controlled trial. After giving consent, participants completed screening instruments, which included the following to assess eligibility for an intervention based on set thresholds: AUDIT-C (for alcohol), HSI (for smoking), IPAQ (for exercise) and a subset of DINE (for diet). The intervention following screening was based on which combination of risky behaviours the patient had. Descriptive statistics, χ2 tests for association and ordinal regressions were undertaken.
Results: Two thousand sixty seven patients were screened: mean age of 48.6 years, 61.9 % female and 42.8 % in a managerial or professional occupation. In terms of numbers of risky behaviours screened eligible for, two was the most common (43.6 %), with diet and exercise (27.2 %) being the most common combination. Insufficient exercise was the most common single risky behaviour (12.0 %). 21.8 % of patients would have been eligible for an intervention for three behaviours and 5.9 % for all four behaviours. Just 4.5 % of patients did not identify any risky behaviours. Women, older age groups and those in managerial or professional occupations were more likely to exhibit all four risky behaviours.
Conclusion: Very few patients consulting for routine primary care screen ineligible for interventions about common unhealthy behaviours, and most engage in more than one of the major common unhealthy behaviours. Clinicians should be particularly alert to opportunities to engaging younger, non professional men and those with multi-morbidity about risky health behaviour.
Trial registration: ISRCTN22495456.
Similar articles
-
Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.Cochrane Database Syst Rev. 2022 Feb 1;2(2022):CD014217. doi: 10.1002/14651858.CD014217. Cochrane Database Syst Rev. 2022. PMID: 36321557 Free PMC article.
-
Preventing disease through opportunistic, rapid engagement by primary care teams using behaviour change counselling (PRE-EMPT): protocol for a general practice-based cluster randomised trial.BMC Fam Pract. 2010 Sep 21;11:69. doi: 10.1186/1471-2296-11-69. BMC Fam Pract. 2010. PMID: 20858273 Free PMC article. Clinical Trial.
-
Understanding the effectiveness and underlying mechanisms of lifestyle modification interventions in adults with learning disabilities: a mixed-methods systematic review.Health Technol Assess. 2025 Feb;29(4):1-168. doi: 10.3310/BSTG4556. Health Technol Assess. 2025. PMID: 40025754 Free PMC article.
-
Patterns of unhealthy behaviour in Finland.Eur J Public Health. 2001 Sep;11(3):294-300. doi: 10.1093/eurpub/11.3.294. Eur J Public Health. 2001. PMID: 11582610
-
Clusters of health behaviours in Queensland adults are associated with different socio-demographic characteristics.J Public Health (Oxf). 2019 Jun 1;41(2):268-277. doi: 10.1093/pubmed/fdy043. J Public Health (Oxf). 2019. PMID: 29546283
Cited by
-
Clustering of health behaviors among Japanese adults and their association with socio-demographics and happiness.PLoS One. 2022 Apr 14;17(4):e0266009. doi: 10.1371/journal.pone.0266009. eCollection 2022. PLoS One. 2022. PMID: 35421105 Free PMC article.
-
Association between unemployment and the co-occurrence and clustering of common risky health behaviors: Findings from the Constances cohort.PLoS One. 2020 May 6;15(5):e0232262. doi: 10.1371/journal.pone.0232262. eCollection 2020. PLoS One. 2020. PMID: 32374756 Free PMC article.
-
Demandes concurrentielles et possibilités en soins primaires.Can Fam Physician. 2017 Sep;63(9):e371-e376. Can Fam Physician. 2017. PMID: 28904046 Free PMC article. French. No abstract available.
-
Clustering of Health Risk Behaviors in Mexican and Puerto Rican Men: Results from the Latino Men's Health Initiative.Nutrients. 2022 Oct 26;14(21):4495. doi: 10.3390/nu14214495. Nutrients. 2022. PMID: 36364758 Free PMC article.
-
A systematic review on the clustering and co-occurrence of multiple risk behaviours.BMC Public Health. 2016 Jul 29;16:657. doi: 10.1186/s12889-016-3373-6. BMC Public Health. 2016. PMID: 27473458 Free PMC article.
References
-
- Organisation WH. Global status report on noncommunicable diseases 2010. 2010.
-
- Welsh Health Survey. 2013. Accessed 23/03/2015. http://gov.wales/statistics-and-research/welsh-health-survey/?tab=previo....
Publication types
MeSH terms
Associated data
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources