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1.
J Prev Med Public Health ; 56(6): 542-551, 2023 Nov.
Article in English | MEDLINE | ID: mdl-37941326

ABSTRACT

OBJECTIVES: Prospective studies on vaccination status and mortality related to coronavirus disease 2019 (COVID-19) in low-resource settings are still limited. We assessed the association between vaccination status (full, partial, or none) and in-hospital mortality among COVID-19 patients at most hospitals in Jakarta, Indonesia during the Delta predomination wave. METHODS: We conducted a retrospective cohort study among hospitalized COVID-19 patients who met the study criteria (>18 years old and admitted for inpatient treatment because of laboratory-confirmed severe acute respiratory syndrome coronavirus 2 infection). We linked individual-level data in the hospital admission database with vaccination records. Several socio-demographic and clinical characteristics were also analyzed. A Cox proportional hazards regression model was used to explore the association between vaccination status and in-hospital mortality in this patient group. RESULTS: In total, 40 827 patients were included in this study. Of these, 70% were unvaccinated (n=28 543) and 19.3% (n=7882) died during hospitalization. The mean age of the patients was 49 years (range, 35-59), 53.2% were female, 22.0% had hypertension, and 14.2% were treated in the intensive care unit, and the median hospital length of stay across the group was 9 days. Our study showed that the risk of in-hospital mortality among fully and partially vaccinated patients was lower than among unvaccinated adults (adjusted hazard ratio [aHR], 0.43; 95% confidence interval [CI], 0.40 to 0.47 and aHR, 0.70; 95% CI, 0.64 to 0.77, respectively). CONCLUSIONS: Vaccinated patients had fewer severe outcomes among hospitalized adults during the Delta wave in Jakarta. These features should be carefully considered by healthcare professionals in treating adults within this patient group.


Subject(s)
COVID-19 , Humans , Adult , Female , Middle Aged , Adolescent , Male , Hospital Mortality , Indonesia/epidemiology , Retrospective Studies , Cohort Studies , Prospective Studies , Hospitals , Vaccination
3.
Article in English | MEDLINE | ID: mdl-36674391

ABSTRACT

In East Nusa Tenggara Province, Indonesia, 42.6% of children under five had stunted growth in 2018, which affects both individual and communal levels. The first step in creating effective interventions is identifying the risk factors for stunting. This study aims to pinpoint the stunting risk factors in East Nusa Tenggara Province, Indonesia, by incorporating secondary data from the 2018 Indonesia Basic Health Research (RISKESDAS). This study implemented a cross-sectional design by utilizing the data of individuals who were successfully visited during the survey. Initial data screening in East Nusa Tenggara Province based on the criteria for children aged 0−59 months and stunting showed as many as 1643. Multivariate logistic regression analysis was performed to evaluate the relationship between children's characteristics and stunting. There was a significant relationship between age group variables for younger children (aged 12−23, 24−35, and 36−47 months), mothers with low education, and children living in rural areas with the incidence of stunting in children (p-value < 0.05). The dominant factors that caused stunting in this study were the children's age of 24−35 months (OR = 2.08, 95% CI: 1.12−3.86), mothers with low education (OR = 1.57, 95% CI: 1.18−2.08), and children living in rural areas (OR = 1.39, 95% CI: 1.01−1.91). The highest prevalence of stunting was in the group of children aged 12−23 months (45.2%). To prevent child stunting, the government must intervene for mothers with low education and those living in rural areas. Intervention includes intensive socialization about improving nutritional status during pregnancy and practicing complementary feeding and breastfeeding habits until the child is 24 months old.


Subject(s)
Breast Feeding , Growth Disorders , Infant , Pregnancy , Female , Humans , Child , Child, Preschool , Indonesia/epidemiology , Cross-Sectional Studies , Risk Factors , Growth Disorders/epidemiology , Growth Disorders/etiology , Prevalence
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