SORA

Advancing, promoting and sharing knowledge of health through excellence in teaching, clinical practice and research into the prevention and treatment of illness

Dietary patterns and non-communicable disease risk in Indian adults: secondary analysis of Indian Migration Study data.

Joy, EJ; Green, R; Agrawal, S; Aleksandrowicz, L; Bowen, L; Kinra, S; Macdiarmid, JI; Haines, A; Dangour, AD (2017) Dietary patterns and non-communicable disease risk in Indian adults: secondary analysis of Indian Migration Study data. Public Health Nutr, 20 (11). pp. 1963-1972. ISSN 1475-2727 https://doi.org/10.1017/S1368980017000416
SGUL Authors: Bowen, Liza Jane

[img]
Preview
PDF Published Version
Available under License Creative Commons Attribution.

Download (288kB) | Preview

Abstract

OBJECTIVE: Undernutrition and non-communicable disease (NCD) are important public health issues in India, yet their relationship with dietary patterns is poorly understood. The current study identified distinct dietary patterns and their association with micronutrient undernutrition (Ca, Fe, Zn) and NCD risk factors (underweight, obesity, waist:hip ratio, hypertension, total:HDL cholesterol, diabetes). DESIGN: Data were from the cross-sectional Indian Migration Study, including semi-quantitative FFQ. Distinct dietary patterns were identified using finite mixture modelling; associations with NCD risk factors were assessed using mixed-effects logistic regression models. SETTING: India. SUBJECTS: Migrant factory workers, their rural-dwelling siblings and urban non-migrants. Participants (7067 adults) resided mainly in Karnataka, Andhra Pradesh, Maharashtra and Uttar Pradesh. RESULTS: Five distinct, regionally distributed, dietary patterns were identified, with rice-based patterns in the south and wheat-based patterns in the north-west. A rice-based pattern characterised by low energy consumption and dietary diversity ('Rice & low diversity') was consumed predominantly by adults with little formal education in rural settings, while a rice-based pattern with high fruit consumption ('Rice & fruit') was consumed by more educated adults in urban settings. Dietary patterns met WHO macronutrient recommendations, but some had low micronutrient contents. Dietary pattern membership was associated with several NCD risk factors. CONCLUSIONS: Five distinct dietary patterns were identified, supporting sub-national assessments of the implications of dietary patterns for various health, food system or environment outcomes.

Item Type: Article
Additional Information: © The Authors 2017. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Dietary patterns, Finite mixture modelling, Indian Migration Study, Micronutrient malnutrition, Non-communicable disease risk factors, Adult, Body Mass Index, Cholesterol, Cross-Sectional Studies, Diet, Female, Humans, India, Male, Micronutrients, Middle Aged, Noncommunicable Diseases, Obesity, Prevalence, Principal Component Analysis, Risk Factors, Rural Population, Surveys and Questionnaires, Thinness, Transients and Migrants, Triglycerides, Urban Population, Waist-Hip Ratio, White People, Humans, Obesity, Thinness, Cholesterol, Triglycerides, Micronutrients, Body Mass Index, Waist-Hip Ratio, Diet, Prevalence, Risk Factors, Cross-Sectional Studies, Principal Component Analysis, Adult, Middle Aged, Transients and Migrants, Rural Population, Urban Population, India, Female, Male, Surveys and Questionnaires, Noncommunicable Diseases, Whites, Dietary patterns, Finite mixture modelling, Indian Migration Study, Micronutrient malnutrition, Non-communicable disease risk factors, 11 Medical and Health Sciences, Nutrition & Dietetics
SGUL Research Institute / Research Centre: Academic Structure > Population Health Research Institute (INPH)
Journal or Publication Title: Public Health Nutr
ISSN: 1475-2727
Language: eng
Dates:
DateEvent
August 2017Published
3 April 2017Published Online
13 February 2017Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
103932Wellcome Trusthttp://dx.doi.org/10.13039/100004440
GR070797MFWellcome Trusthttp://dx.doi.org/10.13039/100004440
PubMed ID: 28367791
Web of Science ID: WOS:000417835600010
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/115109
Publisher's version: https://doi.org/10.1017/S1368980017000416

Actions (login required)

Edit Item Edit Item