Association of dietary patterns and dietary diversity with cardiometabolic disease risk factors among adults in South Asia: The CARRS study.

Autor:	Kapoor D; All India Institute of Medicine, New Delhi, India. deksha.kapoor@gmail.com., Iqbal R; Aga Khan University, Karachi, Pakistan., Singh K; Public Health Foundation of India, India., Jaacks LM; Department of Global Health and Population, Harvard University, Boston, MA, USA., Shivashankar R; Public Health Foundation of India and Centre for Chronic Disease Control, Gurgaon, India., Sudha V; Madras Diabetes Research Foundation, Chennai, India., Anjana RM; Madras Diabetes Research Foundation, Chennai, India., Kadir M; Aga Khan University, Karachi, Pakistan., Mohan V; Madras Diabetes Research Foundation, Chennai, India., Ali MK; Department of Global Health, Emory University, Atlanta, GA, USA., Narayan KM; Department of Global Health, Emory University, Atlanta, GA, USA., Tandon N; All India Institute of Medicine, New Delhi, India., Prabhakaran D; Public Health Foundation of India and Centre for Chronic Disease Control, Gurgaon, India., Merchant AT; Department of Epidemiology and Biostatistics, University of South Carolina, Columbia.
Jazyk:	angličtina
Zdroj:	Asia Pacific journal of clinical nutrition [Asia Pac J Clin Nutr] 2018; Vol. 27 (6), pp. 1332-1343.
DOI:	10.6133/apjcn.201811_27(6).0021
Abstrakt:	Background and Objectives: To investigate the association of dietary patterns and dietary diversity with cardiometabolic disease risk factors among South Asians. Methods and Study Design: In a population based study conducted in 2010-11, we recruited 16,287 adults aged >20 years residing in Delhi, Chennai, and Karachi. Diet was assessed using an interviewer-administered 26-item food frequency questionnaire. Principal component analysis identified three dietary patterns: Prudent, Indian, and Non-Vegetarian. We also computed a dietary diversity score. Multinomial and binary logistic regressions were used to calculate adjusted prevalence (95% confidence intervals) of cardio-metabolic disease risk factors across quartiles of dietary pattern and dietary diversity scores. Results: The adjusted prevalence of diagnosed diabetes was lower among participants in the highest versus lowest quartile of the Prudent Pattern (4.7% [3.8-5.6] versus 10.3% [8.5-12.0]), and the Indian Pattern (4.8% [3.7-5.9] versus 8.7% [6.7-10.6] in highest versus lowest quartile, respectively). Participants following the Indian Pattern also had lower adjusted prevalence of diagnosed hypertension (7.0% [5.4-8.5] versus 10.6% [8.6-12.5] in highest versus lowest quartile, respectively). Participants in the highest versus lowest quartile of the dietary diversity score had a lower adjusted prevalence of diagnosed diabetes (4.1% [3.0-5.2] versus 8.2% [7.1-9.3]), diagnosed hypertension (6.7% [5.3-8.1] versus 10.3% [9.1-11.5]), and undiagnosed hypertension (14.2% [12.0-16.4] versus 18.5% [16.9-20.1]). Conclusions: High dietary diversity appears to be protective against cardio-metabolic disease risk factors in this urban cohort of South Asian adults. Further investigation to understand the underlying mechanism of this observation is warranted.
Databáze:	MEDLINE
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