Multilevel Analysis: The Impact of Conceptual Social Capital on Stunting in Children Under Five in Tulungagung Regency, East Java, Indonesia

Authors

  • Ayun Widya Rizki Master’s Program in Public Health, Universitas Sebelas Maret
  • Didik Gunawan Tamtomo Faculty of Medicine, Universitas Sebelas Maret
  • Bhisma Murti Master’s Program in Public Health, Universitas Sebelas Maret

DOI:

https://doi.org/10.26911/

Abstract

Background: Stunted children have inadequate nutritional intake, which may affect neural cell maturation and make them vulnerable to developmental delays, such as delayed motor develop­ment, lower cognitive ability, and slower social responses. Social capital can serve as a stimulatory resource within a community. The concept of social capital was initially understood as a form of trust that people place in their community and in individuals as members of that commu­nity. This study aimed to estimate the association of social capital with stunting among children under five years of age while accounting for contextual effects at the integrated community health post (posyandu) level.

Subjects and Method: This was an analytical cross-sectional study. The target population comprised children aged 6–59 months with stunting. The sample consisted of 100 stunted children aged 6–59 months and their mothers, and 100 non-stunted children aged 6–59 months and their mothers, randomly selected from the working areas of Sumbergempol, Tunggangri, and Rejotangan Primary Health Centers in Tulungagung Regency, East Java, Indonesia. The dependent variable was stunting. The independent variables were education, income, and social capital. The data were analyzed using multiple multilevel logistic regression, with posyandu as the second-level unit.

Results: Multilevel multiple logistic regression analysis showed that the risk of stunting among children under five was lower among those whose mothers had higher education (≥senior high school) (b= −1.17; 95% CI = −2.09 to −0.24; p= 0.013), whose parents had higher income (≥ IDR 1,500,000/month) (b= −0.94; 95% CI= −1.59 to −0.28; p= 0.013), and who lived in communities with high social capital (b= −0.69; 95% CI= −1.34 to −0.03; p= 0.039). The analysis indicated a substantial contextual effect of factors at the posyandu level within villages on stunting among children under five (ICC = 8.90%).

Conclusion: The risk of stunting among children under five was lower among children whose mothers had higher education (≥ senior high school), whose parents had higher income (≥ IDR 1,500,000/month), and who lived in communities with high social capital.

Keywords:

Children Under Five, Education, Income, Social Capital, Stunting

Published

2026-07-16

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How to Cite

Multilevel Analysis: The Impact of Conceptual Social Capital on Stunting in Children Under Five in Tulungagung Regency, East Java, Indonesia. (2026). Journal of Maternal and Child Health, 11(4), 281-288. https://doi.org/10.26911/

How to Cite

Multilevel Analysis: The Impact of Conceptual Social Capital on Stunting in Children Under Five in Tulungagung Regency, East Java, Indonesia. (2026). Journal of Maternal and Child Health, 11(4), 281-288. https://doi.org/10.26911/

References

Fantay GK, Mekonnen HW, Haftom TA, Oumer SA, Afework MB (2019). Deter¬minants of stunting among under-five children in Ethiopia: A multilevel mixed-effects analysis of 2016 Ethio¬pian demographic and health survey data. BMC Pediatrics, 19(1): 1–13. https://doi.org/10.1186/s12887-019-1545-0.

Hamdi S, Elmiana DS, Maulana I, Haromain N, Rahmawadi I, Malik FA. (2023). Strategi pemerintah desa dalam pe¬nanganan stunting berbasis modal sosial di desa Bilebante, Lombok Tengah (Village Government Strate¬gies for Addressing Stunting Based on Social Capital in Bilebante Village, Central Lombok). Jurnal Kebijakan Pembang¬unan. 18: 209–224. https:/ /doi.org/ 10.47441/jkp.v18i2.346.

Laksono AD, Wulandari RD, Amaliah N, Wisnuwardani RW (2022). Stunting among children under two years in Indonesia: does maternal education matter? PLoS ONE, 17(7): 1–11. https:-//doi.org/10.1371/journal.pone.0271509.

Lukman TN, Anwar F, Riyadi H, Harjo¬mi-djojo H, Martianto D (2022). Respon-sive prediction model of stunting in toddlers in Indonesia. Curr Res Nutr Food Sci. 10(1): 302–310. https://-doi.org/10.12944/CRNFSJ.10.1.25

Kusumawati E, Rahardjo S, Sari HP. (2015). Model pengendalian faktor risiko stunting pada anak bawah tiga tahun. J public health. 9(3): 249. https: //doi. org/ 10.21109/kesmas.v9i3.572.

Muhoozi GK, Atukunda P, Mwadime R, Iversen PO, Westerberg AC. (2016). Nutritional and developmental status among 6 to 8 month old children in southwestern Uganda: A cross-sectio-nal study. food nutr Res. 60(5): https:¬//doi.org/.3402/fnr.v60.30270.

Muslimah PA, Salimo H, Dewi YL. (2020). Multilevel analysis association of soil transmitted helminths and stunting in children aged 6-12 years old in pinrang district, South Sulawesi. J Epidemiol Public Health. 5(3): 372-383. https://-doi.org/10.26911/jepublichealth.2020.¬05.03.11.

Nahar B, Hossain M, Mahfuz M, Islam MM, Hossain MI, Murray-Kolb LE, Seid¬man JC (2020). Early childhood deve¬lop¬ment and stunting: Findings from the MAL-ED birth cohort study in Bangla¬desh. matern child nutr, 16(1). https://-doi.org/10.1111/mcn.12864.

Ramli R, Sattu M, Ismail AM, Lalusu EY, Lanyumba FS, Balebu DW, Otoluwa AS et al. (2022). Factors Influencing the Incidence of stunting in Jaya Bakti Village, Pagimana District, Banggai Regency. Maced J Med Sci, 10(5): 303–307. https://doi.org/10.3889/oa¬mj¬ms-.2022.8227.

Reurings M, Vossenaar M, Doak CM, Solo-mons NW (2013). Stunting rates in infants and toddlers born in Metro-poli¬tan Quetzaltenango, Guatemala. Nutri¬tion, 29(4): 655–660. https://-doi.org¬/10.1016/j.nut.2012.12.012.

Salma WO, Alifariki LO, Siagian HJ. (2022). Study retrospektif kejadian stunting pada balita. Jurnal Kesehatan. 11(1): 215–224. https://doi.org/10.36763/-healthcare.v11i1.235.

Sari S (2022). Predictors of minimum accept¬able diet among children aged 6–23 months in nepal: a multilevel analysis of nepal multiple indicator cluster survey 2019. Nutrients, 14(17): https:¬//¬doi.org/10.3390/nu14173669.

Titaley CR, Ariawan I, Hapsari D, Muasya-roh A, Dibley MJ. (2019). Determi-nants of the stunting of children under two years old in indonesia: a multilevel analysis of the 2013 Indonesia basic health survey. Nutrients. 19(5): 1106. https://doi.org¬/10.3390/nu11051106.

Trihono, Atmarita, Tjandrarini DH, Irawati A, Utami NH, Tejayanti T, Nurlinawati I (2025). Stunting in Indonesia, Problems and Solution. Jakarta: Health Research and Development Agency, Ministry of Health of the Republic of Indonesia. Retrieved from https://www.badankebijakan.kemkes.go.id/repositori/id/eprint/3513/1/Stunting%20in%20Indonesia.pdf.