Window of Health (WOH) : Jurnal Kesehatan
Not a member yet
    332 research outputs found

    Airborne Benzene Concentrations Increase Trans, Trans-Muconic Acid (tt-MA) Levels and Liver Function in Workers in The Manufacturing Industry

    Full text link
    The use of benzene as a solvent in the manufacturing industry can be dangerous because it is volatile, toxic, and carcinogenic. Exposure to benzene occurs through inhalation of the chemical in the air, which can enter the human body through the respiratory system. The levels of trans, trans-Muconic Acid (tt-MA), which is used to metabolize benzene, can be affected by the amount of exposure to the chemical. This study aims to determine the differences in exposure to benzene in the air by measuring the tt-MA indicators and liver function of workers in the manufacturing industry. This research uses an observational and cross-sectional approach, with a population of 158 employees from both administration and production units. The sample size for the study is 16 respondents, selected using the consecutive sampling technique. The research instrument uses a questionnaire and examines urine samples using the in-house method. Blood samples are examined using IFCC 37 C. The data is processed using the independent-sample t-test and Pearson correlation. The results show that the level of benzene in the air is below the threshold of 0.5 ppm. However, there is a significant difference in the results of tt-MA and SGOT (p less than 0.05), while the levels of SGPT (p greater than 0.05) show no significant differences. In conclusion, there are differences in the tt-MA and SGOT exposure levels between workers in the production and toxicity units, while SGPT does not show significant differences. It is recommended that the industry maximizes the use of local exhaust ventilation and prohibits smoking

    Machine Learning Approach to Predict the Dengue Cases Based on Climate Factors

    Full text link
    Dengue is a global health issue threatening public health, particularly in developing countries. Effective disease surveillance is critical to anticipate impending outbreaks and implement appropriate control responses. However, delays in dengue case reporting are frequent due to human resource shortfalls. Improved outbreak predictive capacity also requires additional input on vector presence and abundance, which is currently not captured in the surveillance platform. Thus, we developed a prototype AI application, “Dengue Forecasting", that leverages machine learning methods in filing the dengue case report and incorporates dengue vector and climatic parameters. This application simplifies the recording of dengue cases, vector abundance (Angka Bebas Jentik/ABJ), and selected climatic variables (sun exposure, temperature, humidity, wind speed, and precipitation) in Bandung City. The relevant data were extracted from Indonesia’s Ministry of Health and the Meteorological, Climatological, and Geophysical Agency. The entire process, from developing the model to deployment, was conducted under R programming language version 4.2.2 using packages (caret, shiny.io). The linear regression model demonstrated the highest precision (RMSE= 268.32 and MAE= 164.1) in predicting the dengue cases and outbreaks. We also applied this to the application deployment. “Dengue Forecasting” has the potential to assist policymakers at the district level, complementing Dengue EWARS, in anticipating and mitigating dengue outbreaks, especially in Bandung City

    Analysis of Factors Causing Work Accidents Using the Root Cause Analysis (RCA) Method at the Sumber Asih 1 Bitung Clinic

    Full text link
    Work accidents are unexpected events that can result in property loss and loss of life. Occupational safety and health in health installations are defined as activities to guarantee and protect the safety and health of human resources in health installations, patients, and patient companions so that protection standards are created for workers in health installations to prevent and reduce the risk of these dangers. The research was conducted at the Sumber Asih 1 Bitung Clinic in August – December 2023. Based on data on accidents at the Sumber Asih 1 Bitung clinic last year, there were ten work accidents. This research analyzes factors related to work accidents at the Sumber Asih 1 Bitung clinic in 2023. The method used in this research is the root cause analysis (RCA) method with five why analysis. The data source for this research consisted of 4 workers at the Sumber Asih 1 Bitung clinic. The data collection technique uses the observation method and in-depth interviews, followed by the triangulation method to validate the research results. The research found that the causes of work accidents were environmental factors: Lack of lighting in several clinic areas, slippery floors, and limited movement space. Meanwhile, human factors include unsafe actions, Lack of work safety training, Lack of concentration at work, and Lack of awareness of workers using personal protective equipment. It is necessary to carry out K3 (Occupational Safety and Health) training so that workers know the importance of working safely

    Survival Analysis and Risk Factors for COVID-19 Patients at Koja Hospital

    Full text link
    The COVID-19 pandemic impacts global health, and no specific drug has proven effective in curing SARS-CoV-2 infection. This study aimed to analyze the survival characteristics of COVID-19 patients in Koja Hospital. This research method is analytically observational with a cross-sectional design. The study population was 1080, and the research sample was 284 patients. The sampling used a purposive sampling method with a retrospective approach from the medical records of confirmed COVID-19 inpatients from May to October 2020. The analysis uses SPSS software version 26. Categorical variables were analyzed using the chi-square test or Fisher’s exact test. Kaplan Meier, Log Rank, and Cox Regression were used for the probability of survival analysis and mortality risk ratio in COVID-19 patients. The case fatality rate (CFR) of 284 COVID-19 patients was 20.4%. The mean age of the patients was 49 years (IQR 37–57). The most common comorbidity was hypertension, 34%. The average probability of survival of COVID-19 patients was above 60%. In addition to gender, predictors including age, comorbidities, type of intensive care, and use of antivirals had significant differences and affected the chances of survival of COVID-19 patients. Patients given oseltamivir monotherapy had the highest survival rate of about 80% after undergoing treatment for about 38 days (p equal 0.000). The mortality risk ratio of COVID-19 patients with comorbid diabetes mellitus was 8.7 times higher than that of those without comorbidities (95% CI 1,02–75.82, p less than 0.048). Patients with intensive care had an 11.43 times increased mortality risk ratio compared to usual care (95% CI 6,34–20,62, p less than 0.000). The conclusion of this study is intensive care and a history of diabetes mellitus are associated with the risk of death. There needs to be an increase in COVID-19 control measures, especially in populations prone to comorbid diabetes with severe and critical degrees

    Determinants of Toddlers’ History with Stunting Incidence in the Coastal Community

    Full text link
    The main nutritional problem in toddlers that is still commonly found in many countries around the world is stunting. Stunting is a chronic nutritional problem caused by long-term malnutrition. Infectious diseases and malnutrition can cause stunting. The aim of the study was to determine the relationship between the history of children and the incidence of stunting in the people of the Coastal Village of Kamarian. This research is an analytic survey research with a cross sectional design. This research was carried out on June 1 -31 2022. The sample in this study was 113 toddlers aged 2-5 years using total sampling. This study uses the Chi-Square test. The results showed that there were 22.9% (27 children) who were stunted. There is a relationship between birth weight (ρ=0.000), exclusive breastfeeding (ρ=0.013), infectious diseases (ρ=0.000), complementary feeding (ρ=0.002) and stunting. Low birth weight, exclusive breastfeeding, infectious diseases, and early complementary feeding (MP-ASI) can affect the incidence of stunting in children

    Chronic Energy Deficiency Associated with Body Mass Index of Adolescent Girls

    Full text link
    Chronic Energy Deficiency (CED) is a nutritional issue that poses a threat to adolescents in Indonesia, particularly to adolescent girls. According to the 2018 Basic Health Survey (Riskesdas), the proportion of CED among adolescent girls in Indonesia was 36.3%. This study aimed to identify the factors associated with CED among adolescent girls in the catchment area of Poka-Rumah Tiga, Ambon City. The study was conducted in August 2022 and used a cross-sectional approach with total sampling. The respondents were students aged 15-19 years from three high schools/equivalents in the catchment area of Poka-Rumah Tiga Health Center (SMKN 5 Ambon, SMAN 3 Ambon, and MA Al-Mabrur), with a total of 441 respondents. CED was determined based on the mid-upper arm circumference size being less than 23.5 cm. Logistic regression analysis was used to identify factors associated with CED in adolescent girls. Of the 441 adolescent girls who participated in this study, 45.80% were found to have CED. The odds of CED were lower in adolescent girls with normal BMI (18.5-22.9 kg/m2) (OR=0.09; 95%CI: 0.05-0.15; p less than 0.001) and overweight (≥23 kg/m2) (OR=0.01; 95%CI: 0.00-0.07; p less than 0.001) compared to those who were underweight (BMI less than 18.5 kg/m2). This study highlights the importance of conducting nutrition-specific and nutrition-sensitive interventions for adolescent girls. This includes raising the awareness and knowledge of adolescent girls, family members, and school teachers regarding the importance of balanced nutrition to reduce CED

    The Impact of Providing Psychological Stimulus on Improvement Cognitive Ability of Stunted Children Under 36 Months of Age

    Full text link
    The 2022 study found that 21.6% stunting. Six million short toddlers risk losing 10 - 15 points of intelligence, requiring 300-400 trillion to recover. Vocabulary scores of short children are 16.1% lower and 48.8%. The balance of growth and development and the first two years have 20 points higher intelligence. Brain volume reaches 70-80% at the beginning of life; the brain of a three-month-old baby forms a double adult connection of about 1000 trillion through psychological stimulation, observation, hearing, sensing, and movement. The study aimed to determine the benefits of providing psychological stimulation of knowledge. Using a quasi-experimental design, the population of children aged 24-36 with a sample of 24 children was determined by census. The inclusion criteria were children under three years of age with no postural abnormalities. Exclusion criteria were suffering from mental disorders. There was an increase (p=0.000) of 3.20833 ±2.84344 cognitive points. In the first week, the average cognitive score of 10.8 points increased to 14.0 points. In week four, there was a difference of 1.02857 ± 0.93348 points (p=0.057) in gender-based knowledge. When differentiated by age group, there was a difference of 0.7111 ± 0.96465 points (p=0.107). In the first week, the children felt afraid and reluctant and did not dare to show their abilities, and the provision of psychological stimulation changed. The child is easy to interact with and does not hesitate to say names or make movements. There is an increase in cognitive ability of 3.20833 ± 2.84344 points. It is recommended that psychological stimulation is given to increase knowledge

    Knowledge and Attitude Can Increase Participation in Elderly Posyandu Visits

    Full text link
    The health and well-being of older adults are major concerns in improving the quality of life of the elderly population. The visit of the Elderly Posyandu is one of the programs designed to meet the health and social needs of older adults at the community level. Older adults' knowledge and attitudes towards using Posyandu Lansia services have an important role in determining their level of participation in the program. This study aims to analyze the knowledge and attitudes of older adults toward participation in Posyandu Lansia visits. A quantitative research method with a cross-sectional approach was used in this study. Respondents were selected based on purposive sampling, with as many as 86 respondents. The data were analyzed using the Fisher exact test. Fisher's exact statistical test results are known to be knowledge variables p value = 0.003, attitude is known p value = 0.002, meaning there is a correlation between knowledge and attitude towards the use of elderly posyandu visits. It can be concluded that efforts to improve the knowledge and attitudes of older adults towards the Posyandu Lansia program need to be increased through various education and health promotion strategies. Involving families, communities, and related parties in supporting the participation of older adults is also important. Thus, increased participation of older adults in the visit of the Elderly Posyandu can be achieved, thus positively impacting the overall health and well-being of older adults

    Family-Based Pregnancy Risk Detection With Family-Centered Maternity Care

    Full text link
    The ability of pregnant women to detect early high-risk pregnancies is still below average which is one of the causes of complications that can endanger the well-being of the mother and fetus. Family involvement and other social sources of support in the perinatal period are associated with the detection and reduction of pregnancy risk factors. Approach to families in early dedetermination of pregnancy risk can be done with Family Center Maternity Care (FCMC). FCMC is care designed to meet the informational, social, emotional, comfort, and support needs of normal pregnant women during pregnancy and childbirth. The purpose of this study was to determine the determinants of early detection factors for pregnant women with family-based risk with FCMC. This type of research is quantitative and non-experimental with an analytical observational design through a cross-sectional approach. The population in this study was all pregnant women who experienced risk factors in the Kedungwuni I, Kedungwuni II, Bojong Health Center Area as many as 103 pregnant women. The sampling technique used is the Total Population. The results of this study show that there is a positive and statistically significant relationship of knowledge with the implementation of early detection. Pregnant women who have good knowledge have a likelihood of carrying out early detection of pregnancy risk well by 3,193 times higher than respondents with less knowledge (OR=3,193; CI 95%=1.123-9.078; p=0.029). It is hoped that health workers, especially midwives, can involve their families, especially for early detection of the risk of pregnant women so that pregnant women get optimal health services

    Incidence of Stunting: Early and Exclusive Breastfeeding in Two-Year-Old Children

    Full text link
    The condition of toddlers having less length or height based on age as a result of factors such as socio-economic conditions, maternal nutrition during pregnancy, and lack of nutritional intake in the first 1000 days of life is called stunting. Nutritional intake factors include failure to initiate breastfeeding, failure to provide exclusive breast milk, and the early weaning process. The research aims to determine the relationship between a history of early initiation of breastfeeding and exclusive breastfeeding with the incidence of stunting in children under two years aged 6-24 months. The research was conducted in the work area of ​​the Lere Community Health Center, Palu City. This type of research is observation with a case-control approach with chi-square analysis. The sample in this study was 19 stunted and 38 under two years old who were not stunted. Data is presented in table form accompanied by a narrative. The results of the research showed that from 57 samples, the percentage of stunting was 33.3%, those under two years old who received early initiation of breastfeeding was 47.4%, and those who received exclusive breast milk were 56.1%. The statistical test results show a significant relationship between a history of early and exclusive breastfeeding and the incidence of stunting in toddlers aged 6-24 months (p < 0.05) with an OR of 9.143 and 6.873, respectively. It is recommended that pregnant women initiate early breastfeeding immediately after giving birth and commit to providing exclusive breastfeeding to maintain the child's growth and development

    291

    full texts

    332

    metadata records
    Updated in last 30 days.
    Window of Health (WOH) : Jurnal Kesehatan
    Access Repository Dashboard
    Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇