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All Journal Public Health of Indonesia J-Dinamika: Jurnal Pengabdian Kepada Masyarakat MONSU'ANI TANO Jurnal Pengabdian Masyarakat Jurnal MediLab Mandala Waluya Abdimas Universal Jurnal Abdi Insani Miracle Journal Of Public Health (MJPH) Indonesian Journal of Health Sciences Research and Development (IJHSRD) Health Dynamics
Fitri Rachmillah Fadmi
Universitas Mandala Waluya
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Dentistry Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences

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LOGISTIC REGRESSION ANALYSIS FOR PULMONARY TUBERCULOSIS RELATED TO ENVIRONMENTAL FACTORS IN KATOBU HEALTH CENTRE: PULMONARY TUBERCULOSIS RELATED TO ENVIRONMENTAL Fadmi, Fitri Rachmillah; Rahmawati, Rahmawati; Fitriyanti, Fitriyanti; Mulyani, Sri; Justin, Wa Ode Sitti
INDONESIAN JOURNAL OF HEALTH SCIENCES RESEARCH AND DEVELOPMENT (IJHSRD) Vol. 7 No. 1 (2025): INDONESIAN JOURNAL OF HEALTH SCIENCES RESEARCH AND DEVELOPMENT
Publisher : STIKes Mandala Waluya Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36566/ijhsrd/Vol7.Iss1/301

Abstract

Background: Pulmonary tuberculosis is one of the infectious diseases that has infected nearly one-third of the world's population, with many facing difficulties in its control due to a significant number of patients who do not achieve a cure. This is attributed to the challenge of pinpointing the factors that could serve as the primary causes. This study aims to predict the dominant factors contributing to the occurrence of pulmonary tuberculosis. Methods: This analytical observational study applied a case-control study design. A total of 30 patients with pulmonary tuberculosis were included as the case group, and healthy individuals without clinical symptoms of pulmonary tuberculosis were put as the control group. Data analysis used the Chi-Square test and binary logistic regression. Results: The research findings indicate a significant correlation between housing density (p=0.020<0.05), ventilation (p=0.009<0.05), room humidity (p=0,.000<0.05), lighting (p=0.002<0.05), type of flooring in the house (p=0.007<0.05) and smoking habits (p-value=0.001). The results of the multiple logistic regression analysis using the backward LR method indicate that room humidity (p-value=0.001<0.05) is the dominant factor in the occurrence of pulmonary tuberculosis. Conclusion: The incidence of pulmonary tuberculosis is higher among smokers living in homes with overcrowding, inadequate humidity and lighting, and dirt or wood floors. Room humidity plays a significant role in the development of pulmonary tuberculosis. Therefore, providing education on how to maintain and pay attention to the physical condition of the home is crucial to avoid the occurrence of pulmonary tuberculosis.
Child Risk Determinants to Predict Stunting: A Case-Control Study in Sorawolio, Bau-Bau City Fitri Rachmillah Fadmi; Sri Mulyani; Asfani Yuhadi; Wa Ode Justin
Public Health of Indonesia Vol. 12 No. 2 (2026): April - June
Publisher : YCAB Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36685/phi.v12i2.1699

Abstract

Background: Stunting remains a major public health concern with serious consequences for human development and long-term productivity. Objective: This study analyzed child-related factors linked to stunting among children under five in the Sorawolio Health Center area, Baubau City, and developed a logistic regression prediction model. Methods: Using a case-control design, the researchers included 302 participants 151 stunted and 151 non-stunted children selected through proportional random sampling. Health center records provided the child's nutritional status, while structured interviews with a validated questionnaire collected data on birth order, low birth weight (LBW), birth length, immunization history, exclusive breastfeeding, and household exposure to cigarette smoke. Results: Multivariate logistic regression showed strong associations between stunting and being the firstborn (AOR=7.45; 95% CI: 3.64–15.26), LBW (AOR=7.16; 95% CI: 1.60–32.13), short birth length <48 cm (AOR=25.29; 95% CI: 11.51–55.55), absence of exclusive breastfeeding (AOR=9.10; 95% CI: 3.17–26.15), and cigarette smoke exposure (AOR=2.40; 95% CI: 1.21–4.79). Immunization status showed only a borderline effect (p=0.059). The final model (constant –16.712) indicated that stunting risk rises sharply when multiple risk factors occur together, supporting its use as an early screening tool in primary care. Conclussion: These findings highlight how biological, nutritional, and environmental factors interact to drive stunting and emphasize the urgency of targeted interventions in coastal communities with limited health resources.
Logistic Regression Analysis of Risk Factors for Stunting Among Toddlers Aged 24-59 Months in Southeast Sulawesi, Indonesia Fitri Rachmillah Fadmi; Sri Mulyani; La Djabo Buton; Wa Ode Sitti Justin; Yeni Riza
Health Dynamics Vol 2, No 2 (2025): February 2025
Publisher : Knowledge Dynamics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/hd20206

Abstract

Background: Stunting in toddlers is a health problem that can hinder human development globally.This condition has the potential to increase the number of stunting toddlers for toddlers under five years of age. The purpose of the study was to analyze the risk factors for stunting in toddlers under five during the pandemic. Methods: This research is an analytical survey of case-control study design with a 1:1 ratio selected using a simple random sampling technique source of data from primary and secondary data collection. Bivariate analysis was performed using Odds Ratio and chi-square tests, and multivariate analysis was performed using binary logistic regression. Results: The results showed that the variables that had risk factors for stunting were history of infectious disease (OR=5.769; p=0.004), low birth weight (LBW) (OR=4.444; p=0.017), history of exclusive breastfeeding (OR=4.552; p=0.010), family income (OR=6.314; p-value =0.004), knowledge (OR=3.818; p= 0.002) and the most dominant risk factor is family income. Conclusion: Important to reduce stunting cases through cross-sectoral collaboration regarding the modification of health services according to the socioeconomic level of the community. 
Pulmonary Tuberculosis Treatment Failure in Coastal Poasia: Determinants from a Case-Control Study Fitri Rachmillah Fadmi; Sri Mulyani; Karol Octrisdey; Wa Ode Sitti Justin; Yeni Riza
Health Dynamics Vol 2, No 11 (2025): November 2025
Publisher : Knowledge Dynamics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/hd21104

Abstract

Background: Tuberculosis continues to be a major public health issue, particularly in coastal areas where access to healthcare services is often constrained and living conditions differ from inland settings. Treatment failure remains a persistent challenge for tuberculosis control programs at the primary healthcare level. This study aimed to identify factors associated with pulmonary tuberculosis treatment failure in a coastal primary healthcare setting. Methods: An analytical observational study with a case–control design was conducted, involving 48 participants, comprising 24 cases (treatment failure) and 24 controls (treatment success). Data were obtained from tuberculosis program records and through structured interviews. Bivariate analysis using the chi-square test was performed to identify potential determinants (p ≤ 0.25), followed by binary logistic regression to determine factors independently associated with treatment failure. Results: Treatment adherence was the only factor that remained significantly associated with treatment failure after adjustment (AOR = 14.81; p = 0.016). Other variables, including distance to health facilities, knowledge, history of comorbid disease, family support, anxiety, and the role of the treatment supervisor (Pengawas Minum Obat or PMO), did not show significant associations in the multivariable model, although some demonstrated a tendency toward increased risk. Conclusion: Adherence to treatment plays a decisive role in determining tuberculosis treatment outcomes. Strengthening adherence should therefore be prioritized to reduce treatment failure, particularly in coastal communities where structural and social conditions may affect patients’ ability to complete treatment.
Co-Authors Arif Hidayat Arif Hidayat Asfani Yuhadi Fitriyanti Fitriyanti Gerung, Jumartin Jumartin Gerung Jumartin Gerung Juslan Juslan Juslan Juslan Karol Octrisdey La Djabo Buton Laksono Trisnantoro Rahmawati, Rahmawati Riza, Yeni Saifullah Sanatang Sanatang - Sanatang Sanatang Sri Mulyani Sri Mulyani Wa Ode Justin Wa Ode Sitti Justin Wa Ode Sitti Justin