Rahmani Rahmani
Jurusan Gizi Politeknik Kesehatan Kemenkes Banjarmasin, Banjarbaru, Kalimantan Selatan

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Model prediktif kejadian stunting berdasarkan status gizi pra-kehamilan, kenaikan berat badan selama kehamilan, dan berat bayi lahir di Kabupaten Hulu Sungai Utara Nurul Ain; Meilla Dwi Andrestian; Rahmani Rahmani; Siti Mas'Odah
Jurnal SAGO Gizi dan Kesehatan Vol 7, No 1 (2026): April
Publisher : Poltekkes Kemenkes Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30867/gikes.v7i1.3127

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%.