EXCLUSIVE BREASTFEEDING, COMPLEMENTARY FEEDING, LOW BIRTHWEIGHT, AND WASTING IN CHILDREN UNDER-FIVE: A PATH ANALYSIS EVIDENCE FROM INDONESIA

Authors

  • Ika Yuli Ayuningrum Masters Program in Public Health, Graduate School, Universitas Sebelas Maret, Surakarta, Indonesia.
  • Bhisma Murti Masters Program in Public Health, Graduate School, Universitas Sebelas Maret, Surakarta, Indonesia.
  • Harsono Salimo Department of Pediatrics, Dr. Moewardi Hospital, Faculty of Medicine, Universitas Sebelas Maret, Surakarta, Indonesia.
  • Yulia Lanti Retno Dewi Department of Nutrition, Faculty of Medicine, Universitas Sebelas Maret, Surakarta, Indonesia.

DOI:

https://doi.org/10.22159/ajpcr.2018.v11i12.28068

Keywords:

Wasting, Family income, Birthweight, Exclusive breastfeeding, Complementary feeding, Path analysis

Abstract

Objective: Studies using life course perspective, longitudinal data, and path analysis on the relationships between exclusive breastfeeding (EBF), complementary feeding (CF), low birthweight (LBW), and wasting are lacking. This study aimed to investigate the relationships between EBF, CF, LBW, and wasting, while controlling for some confounding factors.

Methods: This was a case–control study conducted in Purworejo, Central Java, Indonesia. A total sample of 160 children 2–5 years of age were selected by fixed disease sampling, consisting of 28 wasted and 132 normal weight children. The dependent variable was wasting. The independent variables were EBF, CF, LBW, maternal middle upper-arm circumference at pregnancy, and family income at pregnancy. Sources of data were maternal and child health record and pre-tested questionnaire. The data were analyzed by path analysis using Stata 13.

Results: A path model was created based on life course perspective and longitudinal sample data. Wasting was directly and significantly affected by CF (b=−3.65; 95% CI=−5.72 – −1.59; p<0.001). The direct association between wasting and EBF was not significant (b=0.37; 95% CI=−0.76–1.49; p=0.521), while the indirect association between wasting and EBF through CF was significant (b=2.17; 95% CI=1.42–2.93; p<0.001). Wasting was directly and significantly associated with LBW (b=1.49; 95% 0.39–2.58; p=0.008). Family income at pregnancy indirectly and significantly affected the risk of wasting both through LBW and middle upper-arm circumference at pregnancy.

Conclusion: EBF and CF jointly predict the risk of wasting. Only if EBF is followed by CF, it can reduce the risk of wasting in children under five. LBW is a significant predictor of wasting.

 

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References

World Health Organization, UNICEF, World Food Programme. Global Nutrition Targets 2025: Wasting Policy Brief; 2014. Available from: http://www.apps.who.int/iris/bitstream/handle/-10665/149023/WHO_ NMH_NHD_14.8_engpdf;jsessionid =E8F5B5AFAD4CDBF149ECB 74E379B1183?sequence=1. [Last accessed on 2018 Jun].

UNICEF. Progress for Children: A World Fit for Children Statistical Review. UNICEF; 2018. Available from: https://www.unicef.org/ progressforchildren/2007n6/index41505.htm. [Last accessed on 2018 Jun].

The Mother and Child Health and Education Trust. Mother and Child; 2018. Available from: http://www.mother-childnutrition.org/early-malnutrition-detection/detection-referral-children-with-acute-mal-nutrition/muac.htm. [Last accessed on 2018 Jun].

Saaka M, Galaa SZ. Relationships between wasting and stunting and their concurrent occurrence in ghanaian preschool children. J Nutr Metab 2016. DOI: org/10.1155/2016/4654920.

The World Bank. Levels and Trends in Child Malnutrition: Unicef- Who-the World Bank Joint Child Malnutrition Estimates. Washington, DC: The World Bank; 2012.

Briend A, Khara T, Dolan C. Wasting and stunting – similarities and differences: Policy and programmatic implications. Food Nutr Bull 2015;36:S15-23.

Christian P, Lee SF, Angel MD, Adair LS, Arifeen SE, Ashornet P, et al. Risk of childhood undernutrition related to small-for-gestational age and preterm birth in low-and middle-income countries. Int J Epidemiol 2013;42:1340-55.

Tariku A, Bikis GA, Woldie H, Wassie MM, Worku AG. Child wasting is a severe public health problem in the predominantly rural population of ethiopia: A community based cross-sectional study. Arch Public Health 2017;75:26.

Murti B. Prinsip dan Metode Riset Epidemiologi. Surakarta: Program Studi ilmu Kesehatan Masyarakat, Program Pascasarjana, Universitas Sebelas Maret; 2018.

World Health Organization. Nutrition Landscape Information System (NLIS)-Country Profile Indicators Interpretation Guide. Geneva: WHO; 2010. Available from: http://www.apps.who. int/iris/bitstream/handle/10665/44397/9789241599955_eng. pdf?sequence=1&isAllowed=y. [Last accessed on 2018 Jun 20].

World Health Organization. Training Course on Child Growth Assessment. WHO Child Growth Standards. Interpreting Growth Indicators. Department of Nutrition for Health and Development. Geneva: World Health Organization; 2008.

PAHO. Guiding Principles for Complementary Feeding of the Breastfed Child. Washington, DC: Pan American Health Organization; 2003.

World Health Organization. Exclusive Breastfeeding for Optimal Growth, Development and Health of Infants; 2018. Available from: http://www.who.int/elena/titles/exclusivebreast-feeding/en/in. [Last accessed on 2018 Jun].

United Nations Children’s Fund (UNICEF) and World Health Organization (WHO). Low Birthweight: Country, Regional and Global Estimates. New York: United Nations Children’s Fund (UNICEF) and World Health Organization (WHO); 2004.

Crow JF. Sewall Wright 1889—1988. Washington, DC: National Academy of Science; 1994.

StataCorp LLC. Structural Equation Modeling (SEM). StataCorp LLC; 2018. Available from: https://www.stata.com/features/structural-equation-modeling/. [Last accessed on 2018 Jun].

Minitab 18 Support. What is Log-Likelihood? Minitab, Inc.; 2017. Available from: https://www.support.minitab.-com/en-us/minitab/18/ help-and-how-to/modeling-statistics/regression/supporting-topics/ regression-models/what-is-log-likelihood/. [Last accessed on 2018 Jun].

Pingale S, Patil VW, Patil S. Estimation of stunted, wasted, wasted and stunted children at town Dhadgaon, district-Nandurbar of Maharashtra State, India. Int J Pharm Pharm Sci 2013;7:529-31.

Zhou L, Li M, Pang X, Rui L, Sun X, Huang L, et al. Association between complementary feeding frequency and growth of infants and young children aged 6-24 months old in urban and rural areas of southwest China. Wei Sheng Yan Jiu 2014;43:541-5.

Udoh EE, Amod OK. Complementary feeding practices among mothers and nutritional status of infants in Akpabuyo Area, Cross River State Nigeria. Springerplus 2016;5:2073.

Kumar D, Goel NK, Mittal PC, Misra P. Influence of infant-feeding practices on nutritional status of under-five children. Indian J Pediatr 2006;73:417-21.

Reyes H, Pérez-Cuevas R, Sandoval A, Castillo R, Santos JI, Doubova SV, et al. The family as a determinant of stunting in children living in conditions of extreme poverty: A case-control study. BMC Public Health 2004;4:57.

Gupta A. Assessing stunting and predisposing factors among children. Asian J Pharm Clin Res 2017;10:364-71.

Kavosi E, Rostami ZH, Kavosi Z, Nasihatkon A, Moghadami M, Heidari M. Prevalence and determinants of under-nutrition among childrenunder six: A cross-sectional survey in Fars province, Iran. Int J Health Policy Manag 2014;3:71-6.

Published

07-12-2018

How to Cite

Ayuningrum, I. Y., B. Murti, H. Salimo, and Y. L. Retno Dewi. “EXCLUSIVE BREASTFEEDING, COMPLEMENTARY FEEDING, LOW BIRTHWEIGHT, AND WASTING IN CHILDREN UNDER-FIVE: A PATH ANALYSIS EVIDENCE FROM INDONESIA”. Asian Journal of Pharmaceutical and Clinical Research, vol. 11, no. 12, Dec. 2018, pp. 174-8, doi:10.22159/ajpcr.2018.v11i12.28068.

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Original Article(s)