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      Early childhood linear growth faltering in low-income and middle-income countries as a whole-population condition: analysis of 179 Demographic and Health Surveys from 64 countries (1993–2015)

      research-article
      , PhD a , b , * , , ScD b , , MSc b , , MSc c , , PhD a , b , , Prof, PhD d
      The Lancet. Global Health
      Elsevier Ltd

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          Summary

          Background

          The causes of early childhood linear growth faltering (known as stunting) in low-income and middle-income countries remain inadequately understood. We aimed to determine if the progressive postnatal decline in mean height-for-age Z score (HAZ) in low-income and middle-income countries is driven by relatively slow growth of certain high-risk children versus faltering of the entire population.

          Methods

          Distributions of HAZ (based on WHO growth standards) were analysed in 3-month age intervals from 0 to 36 months of age in 179 Demographic and Health Surveys from 64 low-income and middle-income countries (1993–2015). Mean, standard deviation (SD), fifth percentiles, and 95th percentiles of the HAZ distribution were estimated for each age interval in each survey. Associations between mean HAZ and SD, fifth percentile, and 95th percentile were estimated using multilevel linear models. Stratified analyses were performed in consideration of potential modifiers (world region, national income, sample size, year, or mean HAZ in the 0–3 month age band). We also used Monte Carlo simulations to model the effects of subgroup versus whole-population faltering on the HAZ distribution.

          Findings

          Declines in mean HAZ from birth to 3 years of age were accompanied by declines in both the fifth and 95th percentiles, leading to nearly symmetrical narrowing of the HAZ distributions. Thus, children with relatively low HAZ were not more likely to have faltered than taller same-age peers. Inferences were unchanged in surveys regardless of world region, national income, sample size, year, or mean HAZ in the 0–3 month age band. Simulations showed that the narrowing of the HAZ distribution as mean HAZ declined could not be explained by faltering limited to a growth-restricted subgroup of children.

          Interpretation

          In low-income and middle-income countries, declines in mean HAZ with age are due to a downward shift in the entire HAZ distribution, revealing that children across the HAZ spectrum experience slower growth compared to the international standard. Efforts to mitigate postnatal linear growth faltering in low-income and middle-income countries should prioritise action on community-level determinants of childhood HAZ trajectories.

          Funding

          Bill & Melinda Gates Foundation.

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          Most cited references27

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          Maternal and child undernutrition and overweight in low-income and middle-income countries

          The Lancet, 382(9890), 427-451
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            Evidence-based interventions for improvement of maternal and child nutrition: what can be done and at what cost?

            The Lancet, 382(9890), 452-477
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              Bringing context back into epidemiology: variables and fallacies in multilevel analysis.

              A large portion of current epidemiologic research is based on methodologic individualism: the notion that the distribution of health and disease in populations can be explained exclusively in terms of the characteristics of individuals. The present paper discusses the need to include group- or macro-level variables in epidemiologic studies, thus incorporating multiple levels of determination in the study of health outcomes. These types of analyses, which have been called contextual or multi-level analyses, challenge epidemiologists to develop theoretical models of disease causation that extend across levels and explain how group-level and individual-level variables interact in shaping health and disease. They also raise a series of methodological issues, including the need to select the appropriate contextual unit and contextual variables, to correctly specify the individual-level model, and, in some cases, to account for residual correlation between individuals within contexts. Despite its complexities, multilevel analysis holds potential for reemphasizing the role of macro-level variables in shaping health and disease in populations.
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                Author and article information

                Contributors
                Journal
                Lancet Glob Health
                Lancet Glob Health
                The Lancet. Global Health
                Elsevier Ltd
                2214-109X
                10 November 2017
                December 2017
                10 November 2017
                : 5
                : 12
                : e1249-e1257
                Affiliations
                [a ]Department of Pediatrics, Hospital for Sick Children and University of Toronto, Toronto, ON, Canada
                [b ]Centre for Global Child Health and SickKids Research Institute, Hospital for Sick Children, Toronto, ON, Canada
                [c ]Harvard T H Chan School of Public Health, Boston, MA, USA
                [d ]International Center for Equity in Health, Universidade Federal de Pelotas, Pelotas, Brazil
                Author notes
                [* ]Correspondence to: Daniel E Roth, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, ON M5G0A4, CanadaCorrespondence to: Daniel E Roth, Peter Gilgan Centre for Research and LearningThe Hospital for Sick ChildrenTorontoONM5G0A4Canada daniel.roth@ 123456sickkids.ca
                Article
                S2214-109X(17)30418-7
                10.1016/S2214-109X(17)30418-7
                5695758
                29132614
                6227814d-9056-4c50-b5a3-ec802d2f91ff
                © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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