Erni Yusnita Lalusu
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Prediction Model of Diabetes Mellitus Using Multivariate Analysis Erni Yusnita Lalusu; Miranti Thamrin; Dwi wahyu Balebu
Mulawarman International Conference on Tropical Public Health Vol. 1 No. 1 (2025): The 3rd MICTOPH
Publisher : Faculty of Public Health Mulawarman University, Indonesia

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Background: Type 2 Diabetes Mellitus (DM) is a metabolic disorder disease that occurs in the pancreas organ and is characterized by increased blood sugar levels. DM does not show symptoms until the disease becomes severe and causes complications. Prevention can be done by predicting events based on various factors Objective: This study aims to produce a prediction model for the incidence of Diabetes Mellitus in the Banggai Community Health Center Working Area Research Methods/ Implementation Methods: This is an observational study with a case-control design involving 77 people in the case group and 77 people in the control group. sample was chosen randomly in the Banggai Community Health Center working area. Data was collected using a questionnaire. Measurement of physical activity using the Indonesian GPAQ questionnaire. Data analysis was done using the chi-square and multiple logistic regression tests with the backward LR methods Results: The results showed that in the case group, most of them did light physical activity, 51 people (66.2%), were obese, namely 47 people (61.0%), had a history of hypertension, namely 50 people (64.9%), and had family history, namely 58 people (75.3%). While in the control group, the majority did heavy physical activity, 44 people (57.1%), were not obese, namely 46 people (59.7%), had no history of hypertension namely 43 people (55.8%), who had a family history, namely 44 people (57.1%). Meanwhile, smoking habits and sugar consumption habits did not differ between the case and control groups. The multivariate analysis shows that physical activity, BMI, history of hypertension, and family history of Diabetes mellitus, can predict the incidence of Diabetes mellitus by 48.8% together, after adjusting the covariate Conclusion/Lesson Learned: Physical activity, BMI, history of hypertension, and family history as predictors of diabetes mellitus. To reduce the prevalence of DM, it is necessary to carry out health promotion, screening, and treatment, especially in those who are in the risk group of DM
Risk Factors of Wasting among Children under 5 Years old Erni Yusnita Lalusu; Putri Ana Tasya; Marselina Sattu
Mulawarman International Conference on Tropical Public Health Vol. 1 No. 1 (2025): The 3rd MICTOPH
Publisher : Faculty of Public Health Mulawarman University, Indonesia

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Background: Wasting is defined as low weight-for-height. It usually occurs when a person has not had food of adequate quality and quantity and they have had frequent or prolonged illnesses. Wasting in children is associated with a higher risk of death if not treated properly. In the working area of Toili 1 Community Health Center, the prevalence of wasting has shown an increasing trend in the last 3 years (2021-2023) Objective: This study aimed to analyze the risk factors for wasting in toddlers in the Toili I Community Health Center working area Research Methods/ Implementation Methods: This is an analytical observational study with a case- control design in the Toili I Community Health Center working area in May 202. A total of 135 wasting toddlers and 135 normal toddlers were involved in the research. Sample selection was carried out randomly. Data was collected primarily (using a questionnaire) and then analyzed using the chi- square test and multiple logistic regression Results: Different proportions were obtained between wasting and normal toddlers. In the wasting group of toddlers, the percentage of low maternal education, low family income, non-exclusive breastfeeding, non-varied feeding, low birth weight, and those with a history of infectious diseases, were higher than in the normal toddler group respectively, namely 40.0% Vs 33.3%; 17.8% Vs 1.5%; 28.9% Vs 10.4%; 49.0% Vs 0%; 5.9% Vs 1.5%. This difference shows a significant relationship to the incidence of wasting (p-Value <0.05). Conclusion/Lesson Learned: The mother's education level, family income, breastfeeding, variations in feeding, birth weight, and history of infectious diseases influence the incidence of wasting in the Toili I Community Health Center working area. Future research can analyze predictions of wasting incidents in toddlers by involving these variables in a study perspective.