Volume 2011, Issue 1 656835
Research Article
Open Access

Cardiovascular Disease-Related Lifestyle Factors among People with Type 2 Diabetes in Pakistan: A Multicentre Study for the Prevalence, Clustering, and Associated Sociodemographic Determinants

Ali Khan Khuwaja

Corresponding Author

Ali Khan Khuwaja

Department of Family Medicine and Community Health Sciences, Aga Khan University, Karachi 74880, Pakistan aku.edu

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Saima Lalani

Saima Lalani

Medical College, Aga Khan University, Karachi 74880, Pakistan aku.edu

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Iqbal Syed Azam

Iqbal Syed Azam

Statistical Consulting Clinics, Department of Community Health Sciences, Aga Khan University, Karachi 74880, Pakistan aku.edu

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Badar Sabir Ali

Badar Sabir Ali

Pakistan Association of Mental Health, Karachi 74880, Pakistan

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Abdual Jabbar

Abdual Jabbar

Section of Diabetes and Endocrinology, Aga Khan University, Karachi 74880, Pakistan aku.edu

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Raheem Dhanani

Raheem Dhanani

Department of Family Medicine, Aga Khan University, Dar es Salaam, Tanzania aku.edu

Department of Family Medicine, McGill University, Montreal, QC, H3A 3R1, Canada mcgill.ca

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First published: 09 August 2011
Academic Editor: Christina Chrysohoou

Abstract

Background. We evaluated the prevalence and clustering pattern of cardiovascular disease (CVD) related lifestyle factors and their association with CVD among patients with type 2 diabetes. We also examined the association of these factors with various socio-demographic characteristics. Methods. A total of 1000 patients with type 2 diabetes were interviewed in a cross-sectional, multi-center study in out-patient clinics in Karachi, Pakistan. Results. In this study 30.3% study participants had CVD. Majority of the patients were physically inactive and had adverse psychosocial factors. Forty percent of the study participants were exposed to passive smoking while 12.7% were current smokers. Only 8.8% of study subjects had none of the studied lifestyle factor, 27.5% had one, while 63.7% had two or three factors. CVDs were independently associated with physical inactivity, adverse psychosocial factors, passive smoking and clustering of two or three lifestyle factors. Physical inactivity was more prevalent among females and patients with no/less education. Proportion of adverse psychosocial factors were higher among females, elders and patients with no/less education. Clustering of these lifestyle factors was significantly higher among females, elderly and no/less educated patients. Conclusion. These results suggest the need of comprehensive and integrated interventions to reduce the prevalence of lifestyle factors.

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