Determinants and contextual barriers of childhood stunting in rural Indonesia: a mixed-methods study in Sengonwetan Village

  • Fadhilah Apriliandri Faculty of Medicine, Universitas Pembangunan Nasional Veteran Jakarta, DKI Jakarta, Indonesia https://orcid.org/0009-0007-8290-2751
  • Danny Yovita Maharani Faculty of Medicine, Universitas Lampung, Bandar Lampung, Indonesia
  • Amelina Ratih Listyaningrum Faculty of Medicine, Universitas Yarsi, DKI Jakarta, Indonesia
Keywords: child nutrition disorders, dietary diversity, food insecurity, rural health, stunting

Abstract

Purpose: Stunting continues to pose a significant child health burden in Indonesia, particularly in rural settings where healthcare access, maternal education, and dietary quality remain limited. Addressing these community-level determinants is crucial to accelerating progress in reducing stunting. This study aimed to identify the determinants and explore contextual barriers of childhood stunting among children under five in Sengonwetan Village, Grobogan Regency, Indonesia.

Methods: A mixed-methods cross-sectional study was conducted in March 2025 involving 120 children aged 6–59 months selected through stratified random sampling. Anthropometric measurements followed World Health Organization standards. Household food security, dietary diversity, and maternal characteristics were assessed using structured questionnaires, while qualitative interviews explored contextual barriers. Quantitative data were analyzed using logistic regression, and qualitative data were analyzed thematically.

Results: Stunting prevalence was 21.7%. Children of mothers with lower education had higher odds of being stunted (AOR 2.10; 95% CI 1.05–4.20). Household food insecurity (AOR 1.80; 95% CI 1.02–3.22) and low dietary diversity (AOR 1.95; 95% CI 1.10–3.48) were also associated with increased odds of stunting. Recurrent diarrheal episodes emerged as the strongest determinant (AOR 3.20; 95% CI 1.30–7.85). Qualitative findings highlighted limited dietary diversity, economic constraints, and inadequate sanitation as key contextual barriers.

Conclusion: Childhood stunting in this rural setting is influenced by both measurable determinants and contextual barriers, particularly maternal education, household food security, dietary diversity, and recurrent infections. Integrated, community-based interventions that address both behavioral and structural factors are essential to accelerate reductions in stunting.

References

Black RE, Victora CG, Walker SP, Bhutta ZA, Christian P, de Onis M, et al. Maternal and child undernutrition and overweight in low-income and middle-income countries. The Lancet. 2013;382 (9890):427–51.

World Health Organization. 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. Geneva: World Health Organization; 2006. Available from: [Website]

de Onis M, Branca F. Childhood stunting: a global perspective. Maternal & Child Nutrition. 2016;12 (S1):12–26.

Ministry of Health, Republic of Indonesia. Survei status gizi Indonesia (SSGI) 2024 [dalam angka]. Jakarta: Ministry of Health, Republic of Indonesia; 2024. Available from: [Website]

BPS Grobogan. Kabupaten Grobogan dalam angka 2023. Central Java: Statistics Indonesia; 2023. Available from: [Website]

Beal T, Tumilowicz A, Sutrisna A, Izwardy D, Neufeld LM. A review of child stunting determinants in Indonesia. Maternal & Child Nutrition. 2018;14(4):e12617.

Akombi BJ, Agho KE, Hall JJ, Merom D, Astell-Burt T, Renzaho AMN. Stunting, Wasting and Underweight in Sub-Saharan Africa: a systematic review. International Journal of Environmental Research and Public Health. 2017;14(8):863.

Johnson RB, Onwuegbuzie AJ, Turner LA. Toward a definition of mixed methods research. Journal of Mixed Methods Research. 2007;1(2):112–33.

Creswell JW, Clark VLP. Designing and conducting mixed methods research. 3rd ed. Thousand Oaks: Sage Publications; 2017.

Grobogan Health Office. Grobogan District Health Profile 2022. Grobogan: Dinas Kesehatan Kabupaten Grobogan; 2022.

Braun V, Clarke V. Using thematic analysis in psychology. Qualitative Research in Psychology. 2006;3(2):77–101.

Maxwell JA. Qualitative research design: an interactive approach. 3rd ed. Thousand Oaks: Sage Publications; 2013.

UN Global Pulse; UNICEF Indonesia; Ministry of Health, Republic of Indonesia. Assessing the implementation of Indonesia’s national nutrition information system (e-PPGBM). Jakarta: UN Global Pulse; 2023. Available from: [Website]

Lwanga SK, Lemeshow S. Sample size determina- tion in health studies: a practical manual. Geneva: World Health Organization; 1991.

Patton MQ. Qualitative research and evaluation methods. 4th ed. Thousand Oaks: Sage Publications; 2015.

Ballard T, Kepple AW, Cafiero C. The food insecurity experience scale: development of a global standard for monitoring hunger worldwide. Rome: FAO; 2013. Available from: [Website]

Coates J, Swindale A, Bilinsky P. Household Food Insecurity Access Scale (HFIAS) for measurement of food access: indicator guide (v.3). Washington, D.C.: FHI 360/FANTA; 2007. Available from: [Website]

World Health Organization. Indicators for assessing infant and young child feeding practices: definitions and measurement methods. Geneva: World Health Organization and UNICEF; 2021. Available from: [Website]

UNICEF, Ministry of Health of Indonesia. Infant and Young Child Feeding (IYCF) practices survey. Jakarta: UNICEF Indonesia; 2014. Available from: [Website]

Food and Agriculture Organization, FHI 360. Minimum dietary diversity for women: a guide to measurement. Rome: FAO; 2016. Available from: [Website]

The DHS Program. Demographic and Health Survey interviewer’s manual. Rockville: ICF International; 2016.

IBM Corp. IBM SPSS Statistics for Windows, Version 26.0. Armonk, NY: IBM Corp.; 2019.

Manandhar DS, Osrin D, Shrestha BP, Mesko N, Morrison J, Tumbahangphe KM, et al. Effect of a participatory intervention with women’s groups on birth outcomes in Nepal: cluster-randomised controlled trial. The Lancet. 2004;364(9438):970–79.

Prost A, Colbourn T, Seward N, Azad K, Coomarasamy A, Copas A, et al. Women’s groups practising participatory learning and action to improve maternal and newborn health in low-resource settings: a systematic review and meta-analysis. The Lancet. 2013;381(9879):1736–46.

Hosmer DW, Lemeshow S, Sturdivant RX. Applied logistic regression. 3rd ed. New York: Wiley; 2013.

Pelto GH, Armar-Klemesu M. Balancing nurturance, cost and time: complementary feeding in Accra, Ghana. Maternal & Child Nutrition. 2011;7(S3): 66–81.

Mahmudiono T, Sumarmi S, Rosenkranz RR. Household dietary diversity and child stunting in East Java, Indonesia. Asia Pacific Journal of Clinical Nutrition. 2017;26(2):317–25 .

Torlesse H, Cronin AA, Sebayang SK, Nandy R. Determinants of stunting in Indonesian children: evidence from a cross-sectional survey indicate a prominent role for the water, sanitation and hygiene sector in stunting reduction. BMC Public Health. 2016;16:669.

Titaley CR, Ariawan I, Hapsari D, Muasyaroh A, Dibley MJ. Determinants of the stunting of children under two years old in Indonesia: a multilevel analysis of the 2013 Indonesia Basic Health Survey. Nutrients. 2019;11(5):1106.

Checkley W, Buckley G, Gilman RH, Assis AM, Guerrant RL, Morris SS, et al. Multi-country analysis of diarrhoea and childhood stunting. International Journal of Epidemiology. 2008;37(4):816–30.

Morrison J, Thapa R, Hartley S, Osrin D, Manandhar M, Tumbahangphe K, et al. Understanding how women's groups improve maternal and newborn health in Makwanpur, Nepal: a qualitative study. International Health. 2010;2(1):25–35.

Ruel MT, Alderman H, Maternal and Child Nutrition Study Group. Nutrition-sensitive interventions and programmes: how can they help to accelerate progress in improving maternal and child nutrition?. The Lancet. 2013;382(9891):536–51.

Smith LC, Haddad L. Explaining child malnutrition in developing countries: a cross-country analysis. Washington, DC: International Food Policy Research Institute (IFPRI); 2000.

Victora CG, Adair L, Fall C, et al. Maternal and child undernutrition: consequences for adult health and human capital. The Lancet. 2008;371(9609):340–57.

Gillespie S, Menon P, Kennedy AL. Scaling up impact on nutrition: what will it take?. Advances in Nutrition. 2015;6(4):440–51.

Semba RD, de Pee S, Sun K, Sari M, Akhter N, Bloem MW. Effect of parental formal education on risk of child stunting in Indonesia and Bangladesh: a cross-sectional study. The Lancet. 2008;371 (9609):322–8.

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. International Journal of Hygiene and Environmental Health. 2017; 220(6):928–49.

Fereday J, Muir-Cochrane E. Demonstrating rigor using thematic analysis: a hybrid approach of inductive and deductive coding and theme development. International Journal of Qualitative Methods. 2006;5(1):80–92.

National Development Planning Agency (Bappenas). National strategy to accelerate stunting reduction 2018–2024. Jakarta: Bappenas; 2018. Available from: [Website]

Bhutta ZA, Das JK, Rizvi A, Gaffey MF, Walker N, Horton S, et al. Evidence-based interventions for improvement of maternal and child nutrition: what can be done and at what cost?. The Lancet. 2013; 382(9890):452–77.

Rah JH, Sukotjo S, Badgaiyan N, Cronin AA, Torlesse H. Improved sanitation is associated with reduced child stunting amongst Indonesian children under 3 years of age. Maternal & Child Nutrition. 2020;16 (S2):e12741.

Published
2026-05-26
How to Cite
Apriliandri, F., Maharani, D. Y., & Listyaningrum, A. R. (2026). Determinants and contextual barriers of childhood stunting in rural Indonesia: a mixed-methods study in Sengonwetan Village. Berita Kedokteran Masyarakat, 42(05), e29535. https://doi.org/10.22146/bkm.v42i05.29535
Section
Articles