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Analisis Pola Konsumsi Pangan Terhadap Kejadian Malnutrisi Pada Lansia Di Kecamatan Langgudu, Kabupaten Bima Anisaturahmah Ningrum; Dea Zara Avila; Aris Iwansyah; M. Noris; Dedent Ekabimma Hariyanto S
Health Research Journal of Indonesia Vol 4 No 6 (2026): Health Research Journal of Indonesia
Publisher : CV. Wadah Publikasi Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63004/hrji.v4i6.1559

Abstract

Penurunan fungsi fisiologis meningkatkan risiko malnutrisi pada populasi lanjut usia (lansia). Walaupun Kecamatan Langgudu memiliki potensi pangan lokal yang melimpah, prevalensi gizi kurang pada lansia di wilayah ini terus meningkat hingga mencapai 24,7% pada tahun 2023. Penelitian ini menganalisis pengaruh pola konsumsi pangan lokal terhadap kejadian malnutrisi lansia di Kecamatan Langgudu. Penelitian observasional analitik berdesain cross-sectional ini melibatkan 96 responden lansia. Peneliti mengukur pola konsumsi menggunakan instrumen Food Frequency Questionnaire (FFQ) dan menilai kejadian malnutrisi menggunakan Mini Nutritional Assessment (MNA) serta status gizi. Analisis data menggunakan uji statistik Chi-Square. Hasil penelitian menunjukkan 77,1% lansia memiliki pola konsumsi pangan kurang dan 53,1% mengalami malnutrisi. Uji statistik membuktikan terdapat pengaruh yang sangat signifikan antara pola konsumsi pangan dengan kejadian malnutrisi (p-value = 0,000). Seluruh lansia dengan pola konsumsi baik terhindar dari malnutrisi, sedangkan 68,9% lansia berpola konsumsi kurang terdiagnosis malnutrisi. Kesimpulannya, kualitas pola konsumsi pangan lokal menentukan status gizi lansia secara langsung. Optimalisasi pemanfaatan pangan endemik terbukti efektif mencegah malnutrisi pada kelompok geriatri.
Prematurity Prediction Model Based on Nutritional Status and Anaemia among Pregnant Women Dea Zara Avila; Nur Husnul Khatimah; Resti Dona Saputri
Indonesian Journal of Global Health Research Vol. 8 No. 6 (2026): Indonesian Journal of Global Health Research: December 2026
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v8i6.2628

Abstract

Preterm birth is a maternal-neonatal health problem that contributes to morbidity, mortality, and long-term healthcare needs. This study aimed to develop and conduct preliminary internal validation of a preterm birth prediction model based on chronic energy deficiency (KEK) status and anaemia among pregnant women in Bima City. This quantitative analytical study developed a prediction model for preterm birth using logistic regression. A total of 44 pregnant women were recruited through purposive sampling, based on predetermined inclusion criteria and the availability of complete data on birth outcomes, chronic energy deficiency (CED/KEK) status, anaemia, maternal age, parity, and antenatal care (ANC) visits. The analyses comprised descriptive and bivariate analyses, multivariable logistic regression, discrimination assessment using the receiver operating characteristic-area under the curve (ROC-AUC), calibration assessment using the Brier Score, threshold determination using the Youden Index, and internal validation through bootstrap resampling. Five of 44 respondents (11,36%) experienced preterm birth. The main model yielded the equation Logit(P) = -2,9517 + 0,2041(KEK) + 3,3171(Anemia). KEK yielded an adjusted odds ratio (AOR) of 1,226 (95% CI 0,069-21,715; p=0,889), while anaemia yielded an AOR of 27,579 (95% CI 2,800-271,677; p=0,004). The apparent ROC-AUC of 0,7487 decreased to 0,6725 after optimism correction using bootstrap. The apparent Brier Score was 0,0697. At a threshold of 0,5903, model sensitivity was 60,0% and specificity was 94,9%. The combination of KEK and anaemia can be formulated into a probabilistic model for predicting preterm birth, with anaemia providing the strongest predictive signal in the study sample. However, the limited number of preterm birth events resulted in unstable estimates and performance optimism. The model should be positioned as a pilot model and requires further development in a larger sample and external validation before being used for risk stratification in ANC services.