Journal of Epidemiology and Public Health (JEPH)
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Exploring Diabetes Mellitus' Impact on Tuberculosis Outcomes: A Comprehensive Comparative Study
Full text linkBackground: Tuberculosis (TB) remains among the top ten global causes of mortality, with approximately 1.3 million deaths annually. Diabetes elevates the risk of active TB and treatment failure, potentially increasing drug-resistant TB (DR-TB). This study aimed to compare treatment success rates between TB patients with and without diabetes mellitus (DM) at Dr. Ramelan Central Naval Hospital, Surabaya.Subjects and Method: This cross-sectional study was conducted from January 2019 to December 2023 at Dr. Ramelan Central Naval Hospital Surabaya. A total of 158 patients with TB-DM and TB-NonDM were selected using total sampling. The independent variables were the Presence of Diabetes Mellitus in TB patients (TB-DM vs. Non-TB-DM). The dependent variable was the treatment success rate. The data were collected from patient medical records and analyzed using a chi-square test to compare treatment outcomes between TB-DM and TB-Non-DM patients.Results: The analysis included 158 medical records. Predominantly affecting those over 45 years, both TB-DM and TB-Non-DM patients commonly underwent six months of treatment, with success rates of 78% in TB-DM and 82.4% in TB-Non-DM cases. The chi-square test yielded a p-value of 0.511, indicating no significant difference in treatment success between the groups. However, older age and HIV-positive status were associated with lower odds of treatment success.Conclusion: Success rates were similar between the groups, showing no significant difference based on DM status. Despite similar success rates, older age and HIV-positive status were associated with lower odds of treatment success
Investigating the Impact of Social Capital on Elderly Quality of Life in Surakarta: A Multilevel Analysis
Full text linkBackground: A good quality of life is the goal of every individual in life. This quality of life indicates that a person is healthy and prosperous, so that they can live a normal life in the community, especially for the elderly population. This study aims to analyze the variables of the influence of social capital on the quality of life of the elderly at the individual level and the posyandu level.Subjects and Method: This study is a study using a cross-sectional design conducted in 25 elderly posyandu in Surakarta from August to September 2024. The sample consisted of 200 elderly people who were selected by probability sampling. The independent variable in this study is social capital. The dependent variable is quality of life. Data collection was carried out by questionnaire. The analysis data uses multilevel analysis.Results: The results of the multilevel analysis that has been carried out in this study stated that the social capital and quality of life of the elderly (b=1.29; CI 95%= 1.12 to 1.47; p<0.001), directly influenced by age (b=0-1.16; CI 95%= -3.64 to 1.31; p= 0.035), gender (b=8.91; CI 95%= 7.21 to 10.62; p<0.001), education (b=10.27; CI 95% = 8.73 to 11.81; p<0.001).Conclusion: Social capital has a statistically significant positive influence on the quality of life of the elderly.
Effect of Short Sleep Duration on the Risk of Cardiovascular Diseases: A Meta-Analysis
Full text linkBackground: Understanding the impact of short sleep duration on cardiovascular disease incidence is crucial for comprehending its potential health implications. This study aimed to analyze and estimate the magnitude of the effect of short sleep duration on the risk of cardiovascular disease incidence based on similar previous primary studies.Subjects and Method: This research is a systematic review and meta-analysis conducted by following the PRISMA flow diagram and PICO model. Population: general population without prior cardiovascular diseases, Intervention: short sleep duration, Comparison: adequate sleep duration, and Outcome: the Incidence of cardiovascular diseases. The process of searching for articles through Google Scholar, ProQuest, and PubMed journal databases by selecting articles published from 2010 to 2024. The keywords used include: "Cardiovascular Diseases," AND "Incidence," AND "Sleep Duration," AND "cohort Studies. The inclusion criteria were full paper articles, open access with a cohort study design, and articles in English. Data were analyzed using RevMan 5.3.Results: A total of 9 cohort studies involving 564,287 respondents from Africa, Europe, and Asia were selected for a systematic review and meta-analysis. The results of the meta-analysis showed that people with short sleep duration had a 1.20 times risk of experiencing cardiovascular disease compared to people with adequate sleep duration (aHR = 1.20; 95% Cl = 1.14 to 1.25; p<0.001). This meta-analysis has heterogeneity I2= 39%, so it uses a fixed effect model.Conclusion: Insufficient sleep duration could elevate the likelihood of cardiovascular disease occurrence
Hazard Quotient Association of SO2 Exposure to Respiratory Symptoms: Study on Scavengers in Sarimukti Landfill, West Bandung Regency, East Java, Indonesia
Full text linkBackground: The WHO reported that airborne diseases were responsible for 39 million deaths, accounting for 57% of the total 68 million deaths worldwide in 2021. Landfills are a significant source of air pollution, producing sulfur dioxide (SO2) gas, which is harmful to respiratory health, particularly the lungs. This study aims to examine the relationship between the hazard quotient of SO2 exposure and respiratory symptoms among scavengers at the Sarimukti landfill in West Bandung Regency, using an environmental health risk analysis approach.Subjects and Method: The research contributes to exposure risk management by establishing safe thresholds for SO2 concentration, exposure time, and frequency for scavengers. This study adopts a correlation design with a longitudinal approach. The sample consisted of 101 scavengers selected through accidental sampling. Pollutant measurements were taken at two locations within the Sarimukti landfill. The independent variable in this study is the hazard quotient value of SO2 expo-sure, while the dependent variable is respiratory symptoms in scavengers.Results: The results indicated a (OR= 15.83; 95% CI= 1.10 to 226.67; p= 0.008). Risk management is based on a safe SO2 concentration limit of 14.18 µg/m³, an exposure time of 15 hours, and an exposure frequency of 637 days over 30 years.Conclusion: The measurement result of SO2 concentration of 7.38 µg/m³ is still below the specified quality standard of 150 µg/m³. However, through the calculation of the hazard quotient, the concentration exceeds the safe limit (HQ >= 1). The implication of this study in preventing the occurrence of respiratory symptoms in waste pickers is the use of PPE, limiting working hours and days in the landfill
Prevalence of Infections Caused by Hepatitis B Virus, Hepatitis C Virus and Their Co-Infection in A Tertiary Care Centre, Delhi, India
Full text linkBackground: Hepatitis B and C are the most dominant causes of viral hepatitis, leading to both acute and chronic infections. This study was done to determine the magnitude of the prevalence of Hepatitis B and C and their co-infection.Subjects and Method: A retrospective cross-sectional observational study was conducted in the Department of Microbiology, North DMC Medical College and Hindu Rao Hospital, Delhi, India from July 2023 to June 2024. All blood samples received from indoor and outdoor patients from all departments were tested by Monolisa HBsAg Ultra and anti-HCV(Ag-Ab Ultra V2) Monolisa by ELISA method. The variables studied were age, sex, in-patient/out-patient, and type of ward. The data was analyzed using the Chi-Square test and Mann-Whitney test.Results: Of a total of 20,000 blood samples received, 5,358(26.80%) samples were from inpatient department/IPD (2,210 female, 3,148 male) and 14642 (73.20%) and outpatient department/OPD (9,201 female, 5,441 male). 422 samples (2.11%) were positive for HBsAg (210 IPD -77 female, 133 male; 212 OPD - 121 female, 91 male) and 614 (3.07%) for anti-HCV (408 IPD - 135 female, 273 male; 206 OPD - 100 female, 106 male). Co-infection of Hepatitis B and C viruses was seen in 40 patients, 31 IPD (10 female, 21 male) and 9 OPD (1 female, 8 male). Maximum cases were seen from medicine wards among IPD patients of HBsAg positive, anti-HCV positive, and co-infection and in the age group 41-60 years in all three categories.Conclusion: Screening for HBV and HCV infection is compulsory so that preventive measures are implemented to improve public health
Physical, Emotional, and Sexual Violence on the Risk of Depression in Young Adult Women
Full text linkBackground: Depression due to dating violence is a serious problem that affects the mental health of many women, especially young adults. Dating violence, whether physical, emotional, or sexual, can interfere with psychological well-being and result in long-term consequences, one of which is depression. This study aims to analyze the relationship between experiences of dating violence and depression in victims, focusing on women aged 16 to 25 years.Subjects and Method: This study was a cross-sectional study conducted in Surakarta from October to December 2024. The study sample consisted of 200 female young adults in Surakarta City, selected through random sampling. The dependent variable was depression., Independent variables were physical violence, emotional violence, and sexual violence. Data were collected using questionnaires and analyzed using path analysis on Stata 13.Results: The risk of depression was directly influenced by emotional violence (b=0.49; 95%CI=0.39 to 0.60; p<0.001) and sexual violence (b=0.21; 95%CI=0.09 to 0.32; p<0.001). Meanwhile, the indirect influence was physical violence (b=0.28; 95%CI=0.15 to 0.41; p<0.001) and sexual violence (b=0.25; 95%CI=0.11 to 0.37; p<0.001).Conclusion: Emotional violence and sexual violence directly affect the risk of depression. The indirect influence of the risk of depression is physical violence and sexual violence
Spatial Analysis of Determinants of Hypertension Incidence in Kota Lama Subdistrict, Kupang, Indonesia
Full text linkBackground: Cardiovascular diseases such as hypertension, heart attack, and stroke are chronic non-communicable diseases influenced by genetic, physiological, environmental, and behavioral factors. Geographic Information Systems (GIS) can be utilized for spatial analysis to identify risk factors, distribution patterns, and determinants of diseases, including hypertension. This study aims to examine the determinants of hypertension using a spatial analysis approach in Kota Lama Subdistrict, Kupang City.Subjects and Method: This study employed an ecological study design using an observational analytic method with a cross-sectional approach. The population consisted of residents aged ≥18 years in Kota Lama Subdistrict. A total of 400 individuals diagnosed with hypertension were selected using simple random sampling. The variables examined were age, overweight, lack of physical activity, high-salt diet, alcohol consumption, medication adherence, economic level, and distance to health facilities. Instruments used included a sphygmomanometer, microtoise, weight scale, and questionnaire. Spatial analysis was conducted using the GeoDa application with Regression, Bivariate Local Moran’s Index, Multivariate Local Geary, and Spatial Empirical Bayes tests.Results: The results showed significant associations and clustered spatial autocorrelation with low-to-high relative risk (RR) observed in the subdistricts of LLBK, Bonipoi, Solor, Fatubesi, Oeba, Nefonaek, and Pasir Panjang for the variables: age (p=0.001, I=0.70), overweight (p<0.001, I=0.64), lack of physical activity (p=0.00, I=0.63), high-salt diet (p=0.00, I=0.63), and alcohol consumption (p<0.001, I=0.69). There were no significant associations for variables such as irregular medication intake, economic level, and distance to health facilities, with p-values of 1.000 > α (0.050).Conclusion: Age, overweight, physical inactivity, high-salt diet, and alcohol consumption are significant determinants and show positive clustered spatial autocorrelation with hypertension. It is recommended that individuals over 40 years of age regularly monitor their blood pressure, maintain a healthy diet, engage in sufficient physical activity, and for those with hypertension, adhere to regular medication intake
Knowledge, Attitudes, and Practices of Dog Owners Regarding Dog-Related Diseases in Mvomero and Morogoro Districts, Tanzania
Full text linkBackground: Dogs were the earliest animals domesticated by humans for various purposes, but receive little attention from the community and may be sources of diseases in humans and other animals. In Tanzania, most dogs are Mongrels and are primarily found in rural areas where they receive limited veterinary care. Therefore, the study aimed to assess the knowledge, attitudes, and practices of dog keepers regarding dog management, and their awareness of zoonoses, to develop effective disease prevention and control programs.Subjects and Method: A cross-sectional study was conducted between October 2017 and January 2018 in the Mvomero and Morogoro districts of Tanzania. The study used a simple random sampling method, whereas a structured questionnaire was administered to 200 dog keepers. Statistical Package for Social Sciences (SPSS) version 20 was used for data analysis. The independent variables were demographic characteristics of dog keepers (age, gender, education, and location), while dependent variables included knowledge of dog management, attitudes toward dogs, and practices.Results: The study found that 59% of respondents had fair to good knowledge of dog management, though practices were generally poor, with most dog keepers owning dogs for security purposes. While 87% were aware of zoonotic diseases, particularly rabies, vaccination rates were higher in Morogoro than in Mvomero (p<0.05). Negative experiences with dogs were reported by 78% of respondents, and attitudes towards dogs were more negative in Mvomero than in Morogoro (p=0.007).Conclusion: The study concludes that dogs in Morogoro are poorly managed, live-in unhygienic conditions, rarely receive veterinary services, and experiences suffering of different kinds, which is contrary to animal welfare principles. Therefore, integrative approaches to raising public awareness about dog management practices in the study areas and other regions of Tanzania are recommended to safeguard the health of both dogs and humans
Stunting and Its Implications on Cognitive Ability and Language Development
Full text linkBackground: Stunting, a chronic nutritional disorder from prolonged inadequate intake, affects not only physical growth but also cognitive and language development. Mid-upper arm circumference (MUAC) and maternal education are important predictors of stunting risk. Guided by early childhood development theory, this study aims to analyze the implications of stunting on children's cognitive abilities and language development in Karanganyar Regency to inform effective intervention strategies.Subjects and Method: This was a cross-sectional study conducted in Karanganyar Regency, Central Java, from April to August 2024. A total of 112 children were selected through purposive sampling. The independent variables were stunting status, cognitive ability, mid-upper arm circumference, and maternal education, while the dependent variable was language development. Data were collected through standardized measurements and structured interviews. Logistic regression analysis was performed using Stata 13 to examine the associations between variables.Results: Bivariate analysis revealed that delayed language development was significantly associated with stunting (OR=19.05; p<0.001), poor cognitive ability (OR=18.63; p<0.001), MUAC <13 cm (OR=9.41; p<0.001), and low maternal education (OR=21.21; p<0.001). Multivariate analysis showed that stunting (b=2.09; 95% CI=1.02 to 3.16; p<0.001) and poor cognitive ability (b=2.06; 95% CI=0.99 to 3.13; p<0.001) had direct effects on delayed language development.Conclusion: Stunting directly impairs children's cognitive ability and language development. Additionally, maternal education and mid-upper arm circumference have indirect effects on these outcomes through their influence on stunting. These findings highlight the need for integrated nutritional and educational interventions to promote optimal child development
Poisson Probability Count Variable Model and An Eigen-Bayesian Semi Parametric Eigen Autocorrelation for Optimizing Mapping Fentanyl Mortality in Hillsborough County, Florida
Full text linkBackground: Currently, there is a lack of precision count variable models for mapping fentanyl fatalities. The primary objective of this article is to develop a predictive count variable model for mapping county level fentanyl related deaths using scalable zip code capture point census data.Subjects and Method: This ecological study focused on all zip codes within Hillsborough County, Florida. The target population included residents across these zip codes, with fentanyl related mortality data aggregated per area. Total population sampling was applied using secondary data from census and mortality records. The dependent variable was the count of fentanyl related deaths, while independent variables included sociodemographic indicators obtained from the U.S. Census Bureau. Variable measurements were based on standardized public data sources. Data were analyzed using a multicount Poisson regression model. As no overdispersion was detected (variance inflation factor <10), neither negative binomial regression nor stepwise regression was required. Spatial analysis and autocorrelation were conducted using ArcGIS, with the primary predictor further interpolated to identify geographic patterns.Results: Variable selection for the primary predictor was performed by observing the relationship between the standard error of each tested independent variable and its associated Z score. Given the identified relationship between fentanyl mortality and white populations, from the selection process, a spatial autocorrelation hot and cold spot analysis was conducted. This analysis identified zip codes with the highest and lowest predicted likelihood of fentanyl caused deaths (as opposed to deaths where fentanyl was merely present). The identified zip code locations were 33647 and 33810 for the hot spots.Conclusion: Count variable models and autocorrelation hot/cold spot mapping offer a methodological framework for future modeling efforts to predict locations of fentanyl mortality for preven-tative means