TY - JOUR
T1 - Association of dietary patterns and dietary diversity with cardiometabolic disease risk factors among adults in South Asia
T2 - The CARRS study
AU - Kapoor, Deksha
AU - Iqbal, Romaina
AU - Singh, Kalpana
AU - Jaacks, Lindsay M.
AU - Shivashankar, Roopa
AU - Sudha, Vasudevan
AU - Anjana, R. M.
AU - Kadir, Masood
AU - Mohan, Viswanathan
AU - Ali, Mohammed K.
AU - Narayan, K. M.V.
AU - Tandon, Nikhil
AU - Prabhakaran, Dorairaj
AU - Merchant, Anwar T.
N1 - Funding Information:
All authors were involved in the conception and development of the research plan (study question and analysis). KS conducted the statistical analysis. DK and LMJ wrote the paper. All other authors contributed to editing and revising the paper. DK has primary responsibility for final content. All authors read and approved the final manuscript. The CARRS (Centre for cArdiometabolic Risk Reduction in South-Asia) cohort was funded by the National Heart, Lung, and Blood Institute at the National Institutes of Health (HHSN2682009900026C) and the Oxford Health Alliance Vision 2020 of the United Health Group (Minneapolis, MN, USA). Additional support was provided by the Fogarty International Center and the Eunice Kennedy Shriver National Institute of Child Health & Human Development at the National Institutes of Health (1 D43 HD065249), and the Emory Global Health Institute. None of the aforementioned funding sources had a role in the design, analysis, or writing of this article.
Publisher Copyright:
© 2018, HEC Press.
PY - 2018/11/1
Y1 - 2018/11/1
N2 - 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.
AB - 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.
KW - Diabetes
KW - Hypertension
KW - India
KW - Pakistan
KW - Principal component analysis
KW - Prudent diet
UR - http://www.scopus.com/inward/record.url?scp=85057548208&partnerID=8YFLogxK
U2 - 10.6133/apjcn.201811_27(6).0021
DO - 10.6133/apjcn.201811_27(6).0021
M3 - Article
C2 - 30485933
AN - SCOPUS:85057548208
SN - 0964-7058
VL - 27
SP - 1332
EP - 1343
JO - Asia Pacific Journal of Clinical Nutrition
JF - Asia Pacific Journal of Clinical Nutrition
IS - 6
ER -