Journal SAGO Gizi dan Kesehatan
Vol 7, No 1 (2026): April

Model prediktif kejadian stunting berdasarkan status gizi pra-kehamilan, kenaikan berat badan selama kehamilan, dan berat bayi lahir di Kabupaten Hulu Sungai Utara

Ain, Nurul (Unknown)
Andrestian, Meilla Dwi (Unknown)
Rahmani, Rahmani (Unknown)
Mas'Odah, Siti (Unknown)



Article Info

Publish Date
29 Apr 2026

Abstract

Background: Stunting is a nutritional problem that must be addressed in Indonesia. According to the World Health Organization, the prevalence of stunting will reach 150.2 million children under 5 years of age by 2024, who are too short for their age. Data from the South Amuntai Community Health Center show that 10.3% of children aged 0-2 years are suspected to be stunted. Most of the mothers of these children were found to have poor pre-pregnancy nutritional status and low weight gain during pregnancy, and some children were born with low birth weight.Objectives: To develop a stunting prediction model based on nutritional status before pregnancy, weight gain during pregnancy, and birth weight.Methods: This was a quantitative, analytical, observational research design with, retrospective cohort study. This study was conducted in the working area of the Amuntai Selatan Community Health Center, Hulu Sungai Utara Regency, South Kalimantan Province from September to December 2025. The study population comprised 601 toddlers, and samples were taken using Proportionate Stratified Random Sampling (PRS), resulting in 95 respondents. Data collection was performed using questionnaires, KIA books, and the EPPGBM application to determine the z-score. Data analysis was performed using Pearson’s test and multiple linear regression.Results: Maternal nutritional status before pregnancy (p=0.037, r=0.214), weight gain during pregnancy (p=0.010, r=0.264), and birth weight (p=0.000, r=0.450) were associated with stunting. The prediction model for the incidence of stunting was as follows: y = -5.205 + 0.017x₁ + 0.064x₂ + 0.001x₃. Nutritional status before pregnancy, weight gain during pregnancy, and birth weight influenced the incidence of stunting (R2 = 23.2%). Conclusion: The prediction model for stunting incidence is that each additional weight gain during pregnancy will reduce the incidence of stunting by 6.4%, and each additional weight gain at birth will reduce the incidence of stunting by 0.1%.

Copyrights © 2026






Journal Info

Abbrev

gikes

Publisher

Subject

Dentistry Health Professions Medicine & Pharmacology Nursing Public Health

Description

Journal of SAGO Gizi dan Kesehatan (Nutrition and Health) is a peer-reviewed journal of a scientific nature contained in the Polytechnic of Health Ministry of Health of Aceh, who publish high quality of nutrition and health-related individuals, populations, groups and communities who are vulnerable ...