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ORCID ID

Rifa Kirana: 0009-0003-4094-8787

Ahmad Komarulzaman: 0000-0002-1458-6490

Abstract

Background: Anthropometrics, reflecting nutritional status, growth, and development, are crucial elements that can predict a person’s health and well-being. However, low anthropometric measures among children under 5 years remain a significant issue in Indonesia, often influenced by various factors at the household and community levels. Access to clean water and adequate sanitation has been identified as major determinants of these adverse health outcomes. This study analyzes the relationship between anthropometric measures and access to water and sanitation at household and community levels using a multilevel analysis approach.

Methods: The study employs cross-sectional data from the Indonesian Family Life Survey (IFLS) waves 4 (2007) and 5 (2014), comprising a combined sample of 7,583 children. Furthermore, height-for-age z-scores (HAZ) and weight-for-height z-scores (WHZ) serve as the dependent variables, while improved water and sanitation access are the main independent variables. To account for the hierarchical nature of the data, a multilevel linear regression model is employed, clustering individuals, households, and communities at various levels.

Results: The results indicate that improved sanitation at the household level and water coverage at the community level are significantly associated with higher HAZ, increasing the scores by 0.171 standard deviation (SD) (p < 0.01) and 0.004 SD (p < 0.1), respectively. However, the water and sanitation variables do not reveal a significant association with WHZ.

Conclusions: The results of the study emphasize the importance of household-level sanitation and community-level water sources in influencing children’s health. Effective interventions must target improvements in water and sanitation facilities at household and community levels simultaneously to enhance children’s health and well-being. Recognizing and addressing the contextual factors at multiple levels is crucial for developing comprehensive health strategies.

References

  1. United Nations Children’s Fund (UNICEF) and World Health Organization (WHO). Progress on Household Drinking Water, Sanitation and Hygiene 2000-2022: Special Focus on Gender. New York: United Nations Children’s Fund (UNICEF) and World Health Organization (WHO); 2023.
  2. Statistics Indonesia. Indikator Perumahan dan Kesehatan Lingkungan 2022. Jakarta: Statistics Indonesia; 2023.
  3. Bery R, Rosenbaum J, Annis J. Horizontal challenges: WASH and nutrition integration. United Kingdom: 38th WEDC International Conference, Loughborough University; 2015. Briefing Paper 2196.
  4. World Health Organization (WHO), United Nations Children’s Fund (UNICEF) and World Bank. State of the world’s drinking: An urgent call to action to accelerate progress on ensuring safe drinking water for all. New York: World Health Organization; 2022.
  5. Alam MA, Richard SA, Fahim SM, Mahfuz M, Nahar B, Das S, et al. Impact of early-onset persistent stunting on cognitive development at 5 years of age: Results from a multi-country cohort study. PLoS One. 2020;15:e0227839.
  6. Dewey KG, Begum K. Long-term consequences of stunting in early life. Matern Child Nutr. 2011;7 Suppl 3:518.
  7. McDowell MA, Fryar CD, Ogden CL, Flegal KM. Anthropometric reference data for children and adults: United States, 2003–2006. Natl Health Stat Report. 2008;(10):1–48.
  8. Ministry of Health of the Republic of Indonesia. Buku saku: Hasil Survei Status Gizi Indonesia (SSGI) 2022. Jakarta: Ministry of Health of the Republic of Indonesia; 2022.
  9. Ayuningtyas D, Hapsari D, Rachmalina R, Amir V, Rachmawati R, Kusuma D. Geographic and Socioeconomic disparity in child undernutrition across 514 districts in Indonesia. Nutrients. 2022;14:843.
  10. Cameron L, Chase C, Haque S, Joseph G, Pinto R, Wang Q. Childhood stunting and cognitive effects of water and sanitation in Indonesia. Econ Hum Biol. 2021;40:100944.
  11. Gelli A, Headey D, Becquey E, Ganaba R, Huybregts L, Pedehombga A, et al. Poultry husbandry, water, sanitation, and hygiene practices, and child anthropometry in rural Burkina Faso. Matern Child Nutr. 2019;15:e12818.
  12. Lauer JM, Duggan CP, Ausman LM, Griffiths JK, Webb P, Bashaasha B, et al. Unsafe drinking water is associated with environmental enteric dysfunction and poor growth outcomes in young children in rural Southwestern Uganda. Am J Trop Med Hyg. 2018;99:1606–12.
  13. Pickering AJ, Djebbari H, Lopez C, Coulibaly M, Alzua ML. Effect of a community-led sanitation intervention on child diarrhoea and child growth in rural Mali: A cluster-randomised controlled trial. Lancet Glob Health. 2015;3:e701–11.
  14. Komarulzaman A, Smits J, de Jong E. Clean water, sanitation and diarrhoea in Indonesia: Effects of household and community factors. Glob Public Health. 2017;12:1141–55.
  15. Goldstein H. Multilevel Statistical Model. London, UK: Institute of Education, Multilevel Models Project; 1999.
  16. Grantham-McGregor S, Cheung YB, Cueto S, Glewwe P, Richter L, Strupp B; International Child Development Steering Group. Developmental potential in the first 5 years for children in developing countries. Lancet. 2007;369:60–70.
  17. RAND. The Indonesian Family Life Survey (IFLS). Santa Monica, CA: RAND; c1994-2024.
  18. World Health Organization. Training course on child growth assessment: WHO child growth standards. Geneva: World Health Organization; 2008.
  19. Ministry of Health of the Republic of Indonesia. National Basic Health Research 2007. Jakarta: Ministry of Health Republic of Indonesia; 2008.
  20. Ministry of Health of the Republic of Indonesia. National Basic Health Research 2013. Jakarta: Ministry of Health Republic of Indonesia; 2013.
  21. Leyland AH, Groenewegen PP. What is multilevel modelling? In: Leyland AH, Groenewegen PP. Eds. Multilevel Modelling for Public Health and Health Services Research. Cham: Springer Cham; 2020. p.29–48.
  22. Garson GD. Multilevel Modeling: Applications in STATA®, IBM® SPSS®, SAS®, R, & HLMTM. Thousand Oaks, CA: SAGE Publications, Inc., 2023.
  23. Fuller JA, Villamor E, Cevallos W, Trostle J, Eisenberg JN. I get height with a little help from my friends: Herd protection from sanitation on child growth in rural Ecuador. Int J Epidemiol. 2016;45:460–9.
  24. Freeman MC, Garn JV, Sclar GD, Boisson S, Medlicott K, Alexander KT, et al. The impact of sanitation on infectious disease and nutritional status: A systematic review and meta-analysis. Int J Hyg Environ Health. 2017;220:928–49.
  25. Alemu ZA, Ahmed AA, Yalew AW, Birhanu BS, Zaitchik BF. Individual and community level factors with a significant role in determining child height-for-age Z score in East Gojjam Zone, Amhara Regional State, Ethiopia: A multilevel analysis. Arch Public Health. 2017;75:27.
  26. Reese H, Sinharoy SS, Clasen T. Using structural equation modelling to untangle sanitation, water and hygiene pathways for intervention improvements in height-for-age in children <5 years old. Int J Epidemiol. 2019;48:1992–2000.
  27. Fuller JA, Eisenberg JN. Herd protection from drinking water, sanitation, and hygiene interventions. Am J Trop Med Hyg. 2016;95:1201–10.
  28. Zhang J. The impact of water quality on health: Evidence from the drinking water infrastructure program in rural China. J Health Econ. 2012;31:122–34.
  29. Bekele T, Rahman B, Rawstorne P. The effect of access to water, sanitation and handwashing facilities on child growth indicators: Evidence from the Ethiopia Demographic and Health Survey 2016. PLoS One. 2020;15:e0239313.
  30. Dangour AD, Watson L, Cumming O, Boisson S, Che Y, Velleman Y, et al. Interventions to improve water quality and supply, sanitation and hygiene practices, and their effects on the nutritional status of children. Cochrane Database Syst Rev. 2013;(8):CD009382.
  31. World Health Organization. Burden of Disease Attributable to Unsafe Drinking-Water, Sanitation and Hygiene, 2019 Update. Geneva: World Health Organization; 2023.
  32. Getu BD, Azanaw KA, Zimamu LY, Adal GM, Tibebu NS, Emiru TD, et al. Wasting and its associated factors among children aged from 6 to 59 months in Debre Tabor town, Amhara region of Ethiopia, 2019: A multicentre community-based cross-sectional study. BMJ Open. 2023;13:e071679.
  33. Akombi BJ, Agho KE, Hall JJ, Wali N, Renzaho AMN, Merom D. Stunting, wasting and underweight in Sub-Saharan Africa: A systematic review. Int J Environ Res Public Health. 2017;14:863.
  34. Manzoni G, Laillou A, Samnang C, Hong R, Wieringa FT, Berger J, et al. Child-sensitive WASH composite score and the nutritional status in Cambodian children. Nutrients. 2019;11:2142.
  35. Richard SA, Black RE, Checkley W. Revisiting the relationship of weight and height in early childhood. Adv Nutr. 2012;3:250–4.
  36. Schmidt MK, Muslimatun S, West CE, Schultink W, Gross R, Hautvast JG. Nutritional status and linear growth of Indonesian infants in West Java are determined more by prenatal environment than by postnatal factors. J Nutr. 2002;132:2202–7.
  37. Thurstans S, Opondo C, Seal A, Wells JC, Khara T, Dolan C, et al. Understanding Sex differences in childhood undernutrition: A narrative review. Nutrients. 2022;14:948.
  38. Cousens SN, Mertens TE, Fernando MA. The anthropometric status of children in Kurunegala district in Sri Lanka: Its relation to water supply, sanitation and hygiene practice. Trop Med Parasitol. 1990;41:105–14.
  39. Glewwe P. Why Does mother’s schooling raise child health in developing countries? Evidence from Morocco. J Hum Resour. 1999;34:124–59.
  40. Putri DSK, Wahyono TYM. Direct and indirect factors of wasting in children aged 6 ± 59 months in Indonesia, 2010 [Faktor langsung dan tidak langsung yang berhubungan dengan kejadian wasting pada anak umur 6 ± 59 bulan di Indonesia tahun 2010]. Media Litbangkes. 2013;23:110–21. Indonesian.

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