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Lifestyle and self-management determinants of hypertension control in a sample of Australian adults

journal contribution
posted on 31.08.2018, 00:00 by Saman KhalesiSaman Khalesi, C Irwin, J Sun
© 2018 Informa UK Limited, trading as Taylor & Francis Group. Background: Poor hypertension control can increase the risk of cardiovascular, renal and kidney diseases, and increase the social and economic burden of the disease. Methods: This study aimed to explore the lifestyle and self-management skills (medication adherence, self-monitoring, self-efficacy) determinants of hypertension control in a sample of hypertensive Australians. In a cross-sectional design, a total of 233 hypertensive adults completed a survey. Hypertension control was categorised as good control if hypertensive individuals managed to reduce their blood pressure (BP) < 140/90 mmHg, otherwise it was categorised as poor control. Data were analysed using bivariate analysis and hierarchical logistic regression. Results: 55% of the participants had poor BP control. A significantly higher frequency of poor BP self-monitoring was observed in individuals with poor control compared to their counterparts. Poor self-monitoring and a sedentary lifestyle were associated with higher odds of poor control (OR: 5.33, 95% CI: 1.78–15.93; p < 0.01, and OR: 4.69, 95% CI: 1.00–22.25; p < 0.05, respectively). No significant association was observed between other variables and hypertension control. Conclusion: Successful BP control for hypertensive individuals may require interventions and strategies that assist with improving BP self-monitoring skills and increasing physical activity. Expert Review of Cardiovascular Therapy

History

Volume

16

Issue

3

Start Page

229

End Page

236

Number of Pages

8

eISSN

1744-8344

ISSN

1477-9072

Publisher

Taylor & Francis, UK

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Griffith University

Author Research Institute

Appleton Institute

Era Eligible

Yes

Journal

Expert Review of Cardiovascular Therapy