Singh, M., Thumburu, K. K., Jaiswal, N. , Agarwal, A., Chauhan, S. S., Kaur, J., Singh, S. and Chauhan, A. (2015) Anthropometric measures during infancy and childhood and the risk of developing cardiovascular disease or diabetes mellitus type 2 in later life: A systematic review. Project Report. World Health Organisation, Geneva.
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Publisher's URL: https://www.who.int/publications/i/item/9789241550123
Abstract
Background: Concurrently, obesity and other related chronic diseases, in particular cardiovascular diseases (CVD) and diabetes mellitus (type-2: noninsulin-dependent), are increasing in most of the developing countries and in countries undergoing economic transition. The prevalence of these diseases has increased in the last two decades and researchers are involved in identifying the risk factors. Various birth cohorts have been established to identify the relevant risk factors of these diseases. This systematic review is one of the steps in achieving the conclusion of identifying risk factors for developing cardiovascular disease or diabetes mellitus type 2 in later life. Objectives: The objective of this series of systematic reviews was to assess the associations between anthropometric measurements during infancy and childhood, and the risk of developing cardiovascular disease or diabetes mellitus type II in later life. Search strategy: Two independent literature searches with predetermined search strategy were conducted at ICMR Advanced Centre for Evidence based child health, PGIMER, Chandigarh, India; comprising PubMed, Embase, Ovid Sp and manual searching of references from the relevant articles thus obtained. Selection Criteria: We selected published cohort or longitudinal studies evaluating the associations between infancy & childhood anthropometric measures and the risk of developing cardiovascular disease or diabetes mellitus type II in later life. The studies where the outcomes were restricted to associations between anthropometric measurements at birth and adulthood were not included in the systematic review. Data extraction and analysis: Five reviewers extracted the data independently and the discrepancies were resolved by consensus rating. Two reviewers independently evaluated the study quality using Newcastle-Ottawa scale and disagreements were resolved by discussion with the arbiter. Meta-analysis where-ever possible was done using Random effects inverse variance model using Stata MP 12 developed by Stata Corp Ltd. The data which were not meta-analyzed were described as narrative synthesis.
| Item Type: | Research Reports or Papers (Project Report) |
|---|---|
| Status: | Published |
| Glasgow Author(s) Enlighten ID: | Jaiswal, Dr Nishant |
| Authors: | Singh, M., Thumburu, K. K., Jaiswal, N., Agarwal, A., Chauhan, S. S., Kaur, J., Singh, S., and Chauhan, A. |
| College/School: | College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > Health Economics and Health Technology Assessment |
| Publisher: | World Health Organisation |
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