OBJECTIVE: This study aimed to investigate the effect of the duration and frequency of betel quid chewing behaviour on periodontitis severity and the life quality of people in Tanini Village, Kupang Regency, Indonesia.
METHODS: The type of this study was an analytic observational study with a cross-sectional design. We used a questionnaire to obtain sociodemographic data. Oral Health Survey Basic Methods were used to measure debris index, plaque index, bleeding on probing, loss of attachment, and pocket depth. Behaviour and quality of life were measured by questionnaire and WHOQOL-BREF method as well.
RESULTS: The largest number of respondents were male. Duration of chewing had a significant relationship with the frequency of chewing and periodontal status. Periodontitis was higher compared to all categories. The lifestyle of the community greatly influenced their behaviour in betel nut chewing and also affected the severity of their periodontitis and OHIs significantly.
CONCLUSION: The lifestyle of betel nut chewing of the people in Tanini Village, greatly influences their behaviour. Prolonged and excessive use of betel nut induced significant adverse effects on human health. The longer and more often chew betel or areca nut, the higher the incidence of periodontitis, which significantly affects the quality of life as there is a possibility of the development of carcinogenesis, particularly in the oral cavity.
METHODS: A cross-sectional study of treated adult chronic disease patients was conducted using the fifth Indonesian Family Life Survey (IFLS-5) database. Descriptive analysis was used to identify the proportion of TM users, while a multivariate logistic regression was used to analyze their characteristics.
RESULTS: This study included 4901 subjects and identified 27.1% as TM users. The highest TM use was in subjects with cancer (43.9%), liver issues (38.3%), cholesterol issues (34.3%), diabetes (33.6%), and stroke (31.7%). Characteristics associated with TM users were a perception of one's current health as unhealthy (OR 2.59, 95% CI 1.76-3.81), low medication adherence (OR 2.49, 95% CI 2.17-2.85), age above 65 years (OR 2.17, 95% CI 1.63-2.90), having higher education (OR 1.64, 95% CI 1.17-2.29), and residence outside of Java (OR 1.27, 95% CI 1.11-1.45).
CONCLUSIONS: Low medication adherence among TM users highlights the potentially irrational use of treatment in chronic diseases. Nevertheless, the longstanding use of TM users indicates the potential for its development. Further studies and interventions are needed to optimize TM use in Indonesia.
METHODS: After obtaining data on food consumption of palm and soya oils and mortality burdens of CBVDs and DM, correlations between the consumption of oils and mortality burdens of diseases were explored.
RESULTS: There was a positive correlation between the consumption of soya oil with the mortality burden of CBVDs in Australia, Switzerland, and Indonesia, as well as the mortality burden of DM in the USA. The consumption of palm oil had a positive correlation with the mortality burden of DM in Jordan only.
CONCLUSIONS: Food consumption of soya oil in several countries possibly contributes to the mortality burden of CBVDs or DM more than food consumption of palm oil, which could be a possible risk factor in the mortality burdens of CBVDs and DM.
MATERIALS AND METHODS: A single-centre, prospective, casecontrol study involving 32 subjects of preterm neonates was conducted at a tertiary care hospital in Malang, East Java, Indonesia between January to June 2022. A total of 15 preterm neonates with NEC and 17 preterm neonates without NEC were enrolled in this study. Data on demographic, clinical and laboratory findings were collected. Multiple logistic regression test was performed to analyse the risk factors for NEC development. Further profiling within 15 subjects with NEC, i.e., NEC grade ≥ II, were conducted to collect systemic, abdominal, laboratory, abdominal x-ray (AXR) and blood culture findings.
RESULTS: The risk factors related to NEC development in preterm infants were multi-morbidity (adjusted OR = 11.96; 95% CI 1.85 168.38; p = 0.046), antibiotic exposure (OR = 15.95; 95% CI 1.54 165.08; p = 0.020) and requiring advanced neonatal resuscitation at birth (OR = 10.04; 95% CI 1.09 92.11; p = 0.041). Further profiling within NEC cohorts highlighted respiratory distress (86.7%), (oro)gastric retention (80.0%), thrombocytopenia (53.3%), gastrointestinal dilatation in AXR (53.3%), and positive blood culture Klebsiella pneumoniae (40.0%) were most common findings.
CONCLUSION: Preterm neonates with multimorbidity, prolonged antibiotic exposure, and requiring advanced resuscitation at birth were more likely to develop NEC. Early detection of the risk factors and determinant factors for survival may help to improve the clinical outcome.
METHODS: Data were derived from 360 inpatient medical records from six types C public and private hospitals in an Indonesian rural province. These data were accumulated from inpatient medical records from four major disciplines: medicine, surgery, obstetrics and gynecology, and pediatrics. The dependent variable was provider moral hazards, which included indicators of up-coding, readmission, and unnecessary admission. The independent variables are Physicians' characteristics (age, gender, and specialization), coders' characteristics (age, gender, education level, number of training, and length of service), and patients' characteristics (age, birth weight, length of stay, the discharge status, and the severity of patient's illness). We use logistic regression to investigate the determinants of moral hazard.
RESULTS: We found that the incidences of possible unnecessary admissions, up-coding, and readmissions were 17.8%, 11.9%, and 2.8%, respectively. Senior physicians, medical specialists, coders with shorter lengths of service, and patients with longer lengths of stay had a significant relationship with the incidence of moral hazard.
CONCLUSION: Unnecessary admission is the most common form of a provider's moral hazard. The characteristics of physicians and coders significantly contribute to the incidence of moral hazard. Hospitals should implement reward and punishment systems for doctors and coders in order to control moral hazards among the providers.
MATERIALS AND METHODS: We used cross-sectional and secondary data from the 2017 Indonesia Demographic and Health Survey (IDHS). A total of 142 infants under 1 year were selected as the respondents. Chi-square test and binary logistic regression were used to examine factors associated with diarrhoea in infants with LBW in Indonesia.
RESULTS: There are several factors more likely to increase the incidence of diarrhoea in infants with LBW, which are living in rural areas [OR = 5.65, 95% CI = 1.08-29.5] and having internet access less than the last 12 months (OR = 13.03, 95% CI = 1.48-114). Meanwhile, factors more likely to decrease the incidence of diarrhoea in infants with LBW, which are maternal age (20-24 years old) [odds ratio (OR) = 0.07, 95% CI = 0.01-0.98], cell phone ownership (OR = 0.08, 95% CI= 0.01-0.45), and the use of feeding bottles (OR = 0.22, 95% CI = 0.05-0.92).
CONCLUSION: This study highlights that maternal age, cell phone ownership, internet access, area of residence, and use of feeding bottles are significant factors associated with diarrhoea in infants with LBW. Health workers must enhance health education related to those factors through the Community Integrated Child Health Service (Posyandu) programs.
OBJECTIVE: The goal of this study is to provide advanced surveillance metrics for COVID-19 transmission that account for speed, acceleration, jerk, persistence, and weekly shifts, to better understand country risk for explosive growth and those countries who are managing the pandemic successfully. Existing surveillance coupled with our dynamic metrics of transmission will inform health policy to control the COVID-19 pandemic until an effective vaccine is developed. We provide novel indicators to measure disease transmission.
METHODS: Using a longitudinal trend analysis study design, we extracted 330 days of COVID-19 data from public health registries. We used an empirical difference equation to measure the daily number of cases in East Asia and the Pacific as a function of the prior number of cases, the level of testing, and weekly shift variables based on a dynamic panel model that was estimated using the generalized method of moments approach by implementing the Arellano-Bond estimator in R.
RESULTS: The standard surveillance metrics for Indonesia, the Philippines, and Myanmar were concerning as they had the largest new caseloads at 4301, 2588, and 1387, respectively. When looking at the acceleration of new COVID-19 infections, we found that French Polynesia, Malaysia, and the Philippines had rates at 3.17, 0.22, and 0.06 per 100,000. These three countries also ranked highest in terms of jerk at 15.45, 0.10, and 0.04, respectively.
CONCLUSIONS: Two of the most populous countries in East Asia and the Pacific, Indonesia and the Philippines, have alarming surveillance metrics. These two countries rank highest in new infections in the region. The highest rates of speed, acceleration, and positive upwards jerk belong to French Polynesia, Malaysia, and the Philippines, and may result in explosive growth. While all countries in East Asia and the Pacific need to be cautious about reopening their countries since outbreaks are likely to occur in the second wave of COVID-19, the country of greatest concern is the Philippines. Based on standard and enhanced surveillance, the Philippines has not gained control of the COVID-19 epidemic, which is particularly troubling because the country ranks 4th in population in the region. Without extreme and rigid social distancing, quarantines, hygiene, and masking to reverse trends, the Philippines will remain on the global top 5 list of worst COVID-19 outbreaks resulting in high morbidity and mortality. The second wave will only exacerbate existing conditions and increase COVID-19 transmissions.
METHODS: in this study, a fixed retrospective cohort design has been conducted by using data from the Indonesia Family Life Survey (IFLS) in 2007 and 2014. A total of 6,863 respondents who were not diagnosed with NCD by medical personnel in 2007 were successfully traced. After being controlled for covariates, the association between NCD type and poor physical function was measured by using the Adjusted Risk Ratio (ARR) and Population Attributable Risk (PAR).
RESULTS: respondents with poor physical function were at a significantly increased of being diagnosed with stroke (ARR: 6.9, 95%CI: 4.3-10.9), diabetes (ARR: 3.1, 95%CI: 2.4-4.1), or heart disease (ARR: 3.2, 95%CI: 2.4-4.5). The PAR score of respondents with diabetes was 0.006, meaning 0.6% of diabetes cases are attributed to poor physical function and can therefore be prevented if people maintain good physical function.
CONCLUSION: poor physical function can be assessed to identify risk of diabetes, heart disease, and stroke. Healthcare personnel should provide education programs that inform patients on the importance of maintaining a healthy physical ability.