Browsing by Author "Ali, Mohammed K."

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    Association of family history of cardiometabolic diseases (CMDs) and individual health behaviours: Analysis of CARRS study from South Asia
    (Cardiological Society of India, 2022-08) Garg, Ankur; Vora, Kranti Suresh; Ali, Mohammed K.; Kondal, Dimple; Deepa, Mohan; Staimez, Lisa R.; Kadir, M. Masood; Mohan, Viswanathan; Tandon, Nikhil; Shivashankar, Roopa
    Objectives: Family history is considered as an important predictor of cardiovascular diseases (CVDs) and diabetes. Available research findings suggest that family history of chronic diseases is associated with perceived risk of disease and adoption of healthy behaviours. We examined the association between family history of cardio-metabolic diseases (CMDs) and healthy behaviours among adults without selfreported CMDs. Methods: Cross-sectional data of 12,484 adults, without self-reported CMDs, from the baseline survey of Centre for cArdiometabolic Risk Reduction in South-Asia (CARRS) cohort study were analysed. Results: Family history was positively associated with non-smoking and high fruits & vegetables consumption in the age group of 45e64 years and moderate to high physical activity in the age group _x0001_65 years after adjusting for sex, education, wealth index, city and body mass index. Conclusions: Understanding perceived risks and cultural or psychological factors related to family history through ethnographic studies may deepen understanding of these associations.
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    Community-level knowledge, attitudes, and practices regarding cardiovascular diseases and modifiable risk factors in India
    (Elsevier, 2024-12) Singh, Kavita; Kondal, Dimple; Mohan, Deepa; Gandral, Mareesha; Rajan, Sheril; Mohan, Viswanathan; Ali, Mohammed K.; Narayan, KM Venkat; Huffman, Mark D.; Prabhakaran, Dorairaj; Tandon, Nikhil
    Background: Assessment of knowledge, attitudes, and practices regarding cardiovascular diseases (CVD) and cardiovascular risk factors (CVRF) is critical to inform CVD prevention strategies, but limited community-level data exist from developing countries. Objective: To assess the knowledge, attitudes, and practices regarding CVD and CVRF and acceptability of non- physician health workers and text-message based reminders to guide CVD prevention strategies in India. Methods: We conducted a telephone-based survey nested in the on-going Centre for Cardiometabolic Risk Reduction in South Asia (CARRS) cohort in Delhi and Chennai, India between January 2021 to February 2021. We randomly selected people with CVRF, but no established CVD and those with existing CVD from the CARRS cohort (n = 502 participants) and assessed their 1) knowledge of CVD symptoms and risk factors, 2) attitude towards non-physician health workers (NPHW) facilitated care and text-messages for healthy lifestyle, and 3) practices regarding monitoring of CVRF. We performed logistic regression analyses to investigate the factors associated with KAP. Results: We interviewed 502 participants (283 with CVRF and 219 with CVD); 45.8 % were female, and mean age (SD) was 48.1 (11.2) years. The knowledge of heart attack symptoms, stroke symptoms, and CVRF (>75 % correct answers) were: 12.9 %, 20.7 %, and 17.3 %, respectively. Individuals with CVRF had 2.5 times lower knowledge of CVD symptoms compared to those with existing CVD. Acceptability of NPHW-facilitated care and text-messages for healthy lifestyle was 60 % and 84 %, respectively. Conclusion: The knowledge of CVD symptoms and risk factors is below optimal levels, particularly among in- dividuals at high risk of CVD, unskilled workers, those with lower levels of education and income. Innovative use of NPHW along with mHealth tools could potentially offer solutions to reduce the burden of CVD.