Background. Coronary Heart Disease (CHD) is the main highlight of the major cardiovascular diseases. In Indonesia, CHD is the leading cause of death from all deaths, with rates reaching 26.4%, which is four times greater than cancer mortality rates. Objective. This study aims to determine whether dyslipidemia associated with hypertension increases the risks for the incidence of CHD in Harapan Kita Hospital, National Cardiovascular Center, Jakarta, or does not. Methods. The study design was case control. The sample was 163 respondents, 82 respondents in the case group and 81 respondents in the control group. The data were analyzed by using logistic regression. Results. In the CHD group, the percentage of respondents with dyslipidemia was 50%, while in the control group, the percentage of respondents with dyslipidemia was 17.3%. The relationship of dyslipidemia with the incidence of CHD differed according to hypertension status. After being controlled for age, in hypertensive respondents, those with dyslipidemia was 18.1 times more likely to develop CHD compared with those nondyslipidemic, whereas in nonhypertensive respondents, those with dyslipidemia was 2.5 times more likely to develop CHD compared with those nondyslipidemic. Recommendation. It is recommended that the community have medical checkup regularly and change lifestyles by taking healthy diet to control lipid profile and blood pressure.

Early risk prediction and appropriate treatment are believed to be able to delay the occurrence of hypertension and attendant conditions. Many hypertension prediction models have been developed across the world, but they cannot be generalized directly to all populations, including for Indonesian population. This study aimed to develop and validate a hypertension risk-prediction model using machine learning (ML). The modifiable risk factors are used as the predictor, while the target variable on the algorithm is hypertension status. This study compared several machine-learning algorithms such as decision tree, random forest, gradient boosting, and logistic regression to develop a hypertension prediction model. Several parameters, including the area under the receiver operator characteristic curve (AUC), classification accuracy (CA), F1 score, precision, and recall were used to evaluate the models. Most of the predictors used in this study were significantly correlated with hypertension. Logistic regression algorithm showed better parameter values, with AUC 0.829, CA 89.6%, recall 0.896, precision 0.878, and F1 score 0.877. ML offers the ability to develop a quick prediction model for hypertension screening using non-invasive factors. From this study, we estimate that 89.6% of people with elevated blood pressure obtained on home blood pressure measurement will show clinical hypertension.

Objectives: A substantial proportion of women experience mental health challenges during pregnancy or the postpartum period. Common mental disorders (CMDs), including depression, anxiety, and obsessive-compulsive disorder, are prevalent. Identifying causes and associated risk factors is imperative for early intervention and the prevention of mental health issues.Methods: This study utilized data from the 2018 Basic Health Research, which was conducted nationwide in Indonesia, using a crosssectional approach. We focused on women aged 13-49 years who were currently or previously married, and had experienced pregnancy, including 8889 pregnant women and 77 012 women who had delivered between January 1, 2013 and August 31, 2018. The Self-Reporting Questionnaire-20 was employed to assess CMDs. Multivariate logistic regression was performed.Results: The prevalence of CMDs in pregnant women was 12.6%, while postpartum mothers exhibited a prevalence of 10.1%. Poor health status displayed the strongest impact on CMDs during both pregnancy (adjusted odds ratio [aOR], 12.23; 95% confidence interval [CI], 9.01 to 16.60) and the postpartum period (aOR, 16.72; 95% CI, 14.85 to 18.82). Additional significant factors for both group include young maternal age, lack of education, unemployment, history of hypertension, and smoking status. Among pregnant women, CMDs was also associated with first-trimester pregnancy, previous pregnancy complications, and small upper arm circumference. For postpartum mothers, significant factors include living in rural areas, history of abortion, unwanted pregnancy, pregnancy complications, lack of antenatal care, spontaneous delivery, postpartum complications and contraceptive use.Conclusions: CMDs can impact in pregnant and postpartum women. Early diagnosis and management must be seamlessly integrated into primary healthcare practices.

Objectives: This study aimed to assess the effect of complete coverage and content of available antenatal care (ANC) on the incidence of low birth weight (LBW) in 4 countries belonging to the Association of Southeast Asian Nations (ASEAN).Methods: Measures of complete coverage and content of ANC services included the frequency of ANC visits and the seven service components (blood pressure measurement, iron supplementation, tetanus toxoid immunization, explanations of pregnancy complications, urine sample test, blood sample test, and weight measurement). The complete coverage and content of ANC services were assessed as high if more than 4 ANC visits and all seven components were delivered. Multivariable logistic regression with complex survey designs was conducted using Demographic Health Survey data from the 4 ASEAN countries in question from 2014 to 2017.Results: The proportion of LBW infants was higher in the Philippines (13.8%) than in Indonesia (6.7%), Cambodia (6.7%), or Myanmar (7.5%). Poor ANC services were associated with a 1.30 times higher incidence of LBW than a high level of complete coverage and content of ANC services (adjusted odds ratio [aOR], 1.30; 95% confidence interval [CI], 1.11 to 1.52). In addition, the risk of LBW was higher in the Philippines than in other countries (aOR, 2.25; 95% CI, 2.01 to 2.51) after adjusting for mothers’ demographic/socioeconomic factors, health behaviors, and other factors.Conclusions: In sum, complete coverage and content of ANC services were significantly associated with the incidence of LBW in Indonesia, Cambodia, and Myanmar. The Philippines did not show statistically significant results for this relationship, but had a higher risk of LBW with poor ANC.

AbstrakPre-eklampsia berat, salah satu penyebab utama kematian ibu di Indonesia dan di RSUD Dr. H. Abdul Moeloek Lampung, merupakan penyebab kematian ibu nomor satu (47,25%). Penelitian ini bertujuan untuk mengetahui hubungan prediktor pre-eklampsi berat (PEB) yang dinilai dari tekanan darah sistolik, tekanan darah diastolik, proteiunuria, eklampsia, sindrom hemolysis, elevated liver enzymes, low platelets count (HELLP) dengan kematian ibu di RSUD Dr. H. Abdul Moeloek. Penelitian ini menggunakan desain kasus kontrol dengan jumlah sampel 60 kasus dan 120 kontrol. Data diolah dari rekam medis rumah sakit selama periode lima tahun (2010 – 2014). Hasil penelitian ini memperlihatkan bahwa sindrom HELLP memiliki risiko kematian ibu 12 kali lebih tinggi (95%CI 2,9 – 53,7) dan eklampsia memiliki risiko 12,1 kali lebih tinggi (95%CI 3,8 – 38,6). Tekanan darah diastolik 110 – 119 mmHg memiliki risiko 7,4 kali lebih tinggi (95%CI 1,8 – 29,2), tekanan darah diastolik ≥ 120 mmHg memiliki risiko 5,5 kali lebih tinggi (95%CI 1,1 – 23,1), tekanan darah sistolik > 190 mmHg memiliki risiko 2,1 kali lebih tinggi (95%CI 0,5 – 7,4), tekanan darah sistolik 170 – 190 mmHg memiliki risiko 1,6 kali lebih tinggi (95%CI 0,5 – 4,5), proteinuria +3 memiliki risiko 4,2 kali lebih tinggi (95%CI 0,3 – 27,4), proteinuria +4 memiliki risiko 3,2 kali lebih tinggi (95%CI 0,5 – 31,7) setelah dikontrol oleh usia ibu, gravida, usia kehamilan, metode persalinan, pemberian diasepam, pendidikan, tempat tinggal, dan pekerjaan. Oleh karena itu, perlu meningkatkan deteksi dini komplikasi kehamilan dan penanganan yang baik kasus preeklampsia untuk mencegah kematian ibu akibat eklampsia dan sindrom HELLP.AbstractSevere preeclampsia, one of main causes of maternal death in Indonesiaand at Dr. H. Abdul Moeloek Lampung Public Hospital, is the leading cause of maternal death (47.25%). This study aimed to determine relation of severe preeclampsia predictor as assessed from systolic blood pressure, diastolic blood pressure, proteiunuria, eclampsia and HELLP syndrome withmaternal death at Dr. H. Abdul Moeloek Public Hospital. This study usedcase control design with 60 cases and 120 control total of sample. Data was managed from hospital medical records during five years period (2010 – 2014). Results of study showed HELLP syndrome had risk of maternaldeath 12 times higher (95%CI 2.9 – 53.7) and eclampsia had the risk 12.1 times higher (95%CI 3.8 – 38.6). Then diastolic blood pressure 110 – 119 mmHg had the risk 7.4 times higher (95%CI 1.8 – 29.2), diastolic blood pressure ≥ 120 mmHg had the risk 5.5 times higher (95%CI 1.1 – 23.1), sistolic blood pressure > 190 mmHg had the risk 2.1 times higher (95%CI 0.5 – 7.4), sistolic blood pressure 170 – 190 mmHg had the risk 1.6 times higher (95%CI 0.5 – 4.5), proteinuria +3 had the risk 4.2 times higher (95%CI 0.3 – 27.4), proteinuria +4 had the risk 3.2 times higher (95%CI 0.5 – 31.7) after controlled by maternal age, gravida, pregnancy age, delivery method, diazepam provision, education, domicile and employment. Therefore, it needs to improve early detection of pregnancy complication and good management of preeclampsia case to prevent maternal death due to eclampsia and HELLP syndrome.

Background Many children in low and middle-income countries (LMIC) have reduced cognitive abilities, but few studies have explored the influencing factors. Objective To determine the determinants of children's low cognitive development at 4 to 6-year-old. Methods This is a retrospective cohort study in year 2021. The data was obtained from Bogor Longitudinal Study of Child Growth and Development (BLSCGD) that started from year 2012. For this analysis, we considered 165 of children aged 4-6 years. The dependent variable in this analysis was cognitive development as measured by the Indonesian Wechsler Preschool and Primary Scale of Intelligence (WPPSI) with the indicators of full-scale IQ (FSIQ), verbal IQ (VIQ) and performance IQ (PIQ). The independent variables were determinants of children’s cognitive development at 4-6 years, consisted of socio-demographic factors, determinants from early life (0-23 months), as well as determinants from current conditions. Multivariate analysis done with the logistic regression test. Results Bivariate analysis revealed that paternal education level was significantly associated with FSIQ and inadequate calorie intake in infancy and poor child stimulation were significantly associated with VIQ. In the final model of multivariate analysis, low paternal education level retained a significant association with FSIQ. Psychosocial stimulation was significantly associated with VIQ and inadequate calorie intake during infancy was significantly associated with PIQ. Conclusion Low paternal education level and inadequate psychosocial stimulation are risk factors for reduced child cognitive development in 4-6-year-olds. Inadequate calorie intake in infancy even though not statistically significant it has high OR values for low VIQ and PIQ, thus the results showed the importance of calory intake in infancy.