Trends in inequalities in child stunting in South Asia

Maternal and Child Nutrition - Tập 14 Số S4 - 2018
Aditi Krishna1, Iván Mejía‐Guevara2,3, Mark P. McGovern4,5, Víctor M. Aguayo6, S. V. Subramanian7,8
1Iris Group International, Chapel Hill, North Carolina, USA
2Department of Biology, Stanford University, Stanford, California, USA
3Stanford Center for Population Health Sciences, Stanford University School of Medicine, Palo Alto, California, USA
4CHARMS - Centre for Health Research at the Management School, Queen's University Belfast, Belfast, UK
5UKCRC Centre of Excellence for Public Health (Northern Ireland), Belfast, UK
6UNICEF, South Asia, Kathmandu, Nepal
7Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
8Harvard University Center for Population and Development Studies, Cambridge, Massachusetts, USA

Tóm tắt

AbstractWe analysed socio‐economic inequalities in stunting in South Asia and investigated disparities associated with factors at the individual, caregiver, and household levels (poor dietary diversity, low maternal education, and household poverty). We used time‐series analysis of data from 55,459 children ages 6–23 months from Demographic and Health Surveys in Bangladesh, India, Nepal, and Pakistan (1991–2014). Logistic regression models, adjusted for age, sex, birth order, and place of residency, examined associations between stunting and multiple types of socio‐economic disadvantage. All countries had high stunting rates. Bangladesh and Nepal recorded the largest reductions—2.9 and 4.1 percentage points per year, respectively—compared to 1.3 and 0.6 percentage points in India and Pakistan, respectively. Socio‐economic adversity was associated with increased risk of stunting, regardless of disadvantage type. Poor children with inadequate diets and with poorly educated mothers experienced greater risk of stunting. Although stunting rates declined in the most deprived groups, socio‐economic differences were largely preserved over time and in some cases worsened, namely, between wealth quintiles. The disproportionate burden of stunting experienced by the most disadvantaged children and the worsening inequalities between socio‐economic groups are of concern in countries with substantial stunting burdens. Closing the gap between best and worst performing countries, and between most and least disadvantaged groups within countries, would yield substantial improvements in stunting rates in South Asia. To do so, greater attention needs to be paid to addressing the social, economic, and political drivers of stunting with targeted efforts towards the populations experiencing the greatest disadvantage and child growth faltering.

Từ khóa


Tài liệu tham khảo

10.1111/mcn.12283

10.1111/mcn.12284

10.1080/10408398.2013.832143

Behrman J. R. Bhalotra S. Deolalikar A. B. Laxminarayan R. &Nandi A.(2015).Human capital and productivity benefits of early childhood nutritional interventions.dcp‐3.org.

10.1016/S0140-6736(07)61693-6

10.1016/S0140-6736(13)60996-4

Black M. M., 2016, Early childhood development coming of age: Science through the life course, The Lancet, 1

10.1016/S0140-6736(13)60988-5

10.1016/S0140-6736(07)61690-0

10.1016/S0140-6736(13)60937-X

10.1016/j.socscimed.2015.11.014

10.1093/ije/dys184

10.1111/mcn.12286

10.1016/S2214-109X(15)70001-X

10.1371/journal.pone.0078692

Filmer D., 2001, Estimating wealth effects without expenditure data—or tears: An application to educational enrollments in states of India, Demography, 38, 115

10.1080/02692170500031711

10.1016/S0140-6736(07)60032-4

10.1111/mcn.12274

10.1016/j.worlddev.2012.07.002

Headey D. D. &Hoddinott J.(2014).Understanding the rapid reduction of undernutrition in Nepal 2001–2011 (No. 01384).ifpri.org. IFPRI Discussion Paper.

Headey D. D. Hoddinott J. Ali D. Tesfaye R. &Dereje M.(2014).The other Asian enigma: Explaining the rapid reduction of undernutrition in Bangladesh (No. 01358).ifpri.org(pp. 1–48). IFPRI Discussion Paper.

10.1201/9781420080674

Horton S., 2011, Malnutrition: Global economic losses attributable to malnutrition 1900–2000 and projections to 2050. How much have global problems cost the world

10.1186/1475-9276-9-19

10.1016/j.socscimed.2017.06.017

10.1080/17441730.2014.902161

Kumar A., 2014, Increasing socioeconomic inequality in childhood undernutrition in urban India: Trends between 1992‐93, 1998‐99 and 2005‐06, Health Policy and Planning

10.1371/journal.pone.0064972

Leroy J. L.(2011).zscore06: Stata command for the calculation of anthropometric z‐scores using the 2006 WHO child growth standards. Retrieved fromhttp://www.ifpri.org/staffprofile/jef‐leroy

10.1093/ije/dyx017

10.1093/cesifo/ifs015

Ramalingaswami V., 1996, The progress of nations, 10

Rutstein S. O., 2004, The DHS wealth index. DHS comparative reports no. 6

Scaling Up Nutrition: A Framework for Action.(2010).Scaling up nutrition: A framework for action.scalingupnutrition.org.

UN. (2015).Sustainable development goals. Retrieved October 27 2015 fromhttps://sustainabledevelopment.un.org/?menu=1300

UNICEF, 2007, How to calculate average annual rate of reduction (AARR) of underweight prevalence

UNICEF, 2013, Improving child nutrition: The achievable imperative for global progress. UNICEF

UNICEF, 2016, State of the world's children. unicef.org

United Nations, 2015, The millennium development goals report. un.org

10.1542/peds.2009-1519

WHO, 2006, WHO child growth standards: Length/height‐for‐age, weight‐for‐age, weight‐for‐length, weight‐for‐height and body mass index‐for‐age: Methods and development

WHO, UNICEF, USAID, AED, UCDavis, IFPRI, 2008, Indicators for assessing infant and young child feeding practices. Part I: Definitions

WHO, UNICEF, USAID, AED, UCDavis, IFPRI, 2008, Indicators for assessing infant and young child feeding practices. Part II: Measurement

WorldBank. (n.d.).South Asia. Retrieved August 4 2015 fromhttp://www.worldbank.org/en/region/sar