Background: Stunting among toddlers is highly prevalent in Indonesia. As a chronic malnutrition problem, stunting is closely related to internal (maternal health) and external factors such as feeding practices, illness and socio-economics of the community. The purpose of this study was to analyze the relationship between low birth weight (LBW), child feeding practices and neonatal illness with stunting among Indonesian toddlers. Methods: For this study, we took data from the 2010 Indonesian National Basic Health Survey (RISKESDAS). Totally 3024 children aged of 12-23 months included in this analysis. Stunting was measured using standardized body length and was defined based on criteria from WHO AnthroII.PC2007. Data analysis was done through bivariate and multivariate logistic regressions. Results:The results showed that the prevalence of stunting among Indonesian toddlers (12 23 months) was 40.4%. Early initiation of breast-feeding and exclusive breast feeding was experienced by 42.7% and 19.7% of the babies. More than half of the babies were given pre-lacteal feeds, while early complementary feeding was given to 68.5% of the subjects. Multivariate analysis showed infants born with LBW were 1.74 times more likely to be stunted (95% CI 1.38-2.19) than those born with normal weight. Boys were 1.27 times (95% CI 1.10-1.48) more likely to be stunted than girls. Infants with a history of neonatal illness, they were 1.23 times (95% CI 0.99-1.50) more susceptible to stunting. Being poor was another indirect variable that significantly associated with stunting (OR = 1.3, 95% CI 1.12-1.51). Conclusion: LBW, gender (boys), history of neonatal illness and poverty are factors related to stunting among children aged 12-23 months in Indonesia, with LBW being the major determinant of stunting.
Background: The prevalence of adolescent tobacco use in Indonesia is among the highest in the world. Monitoring the extent and distribution of adolescent cigarette smoking is crucial to being able to target prevention and reduction strategies and evaluate the effectiveness of interventions. Objectives: To quantify the prevalence of adolescent cigarette smoking in Indonesia and assess the association with key socio-economic, demographic and geographic factors. Methods: We used data from the 2013 Indonesian Basic Health Research (RISKESDAS) national household survey to quantify the prevalence of cigarette smoking in adolescents aged 10–18 years by sex, age, education, economic status, place of residence and province. We used logistic regression to assess the adjusted association between adolescent smoking and these factors. Results: The overall smoking prevalence among Indonesian adolescents was 7.2% (95% Confidence Interval/CI: 7.1–7.4). The prevalence was substantially higher among males (14.0%; 95% CI: 13.6–14.4) compared with females (0.2%; 95% CI: 0.1–0.4). After controlling for socio-economic, demographic and geographic characteristics, higher odds of smoking were observed among males (OR = 118.1; 95% CI: 91.2–153.0) as compared to female and among adolescents aged 13–15 and 16–18 years as compared to those aged 10–12 years (OR = 13.2; 95% CI: 10.8–16.2 and OR = 72.7; 95% CI: 59.1–89.4, respectively). The odds of smoking were greater among adolescents with higher education as compared to those with lower education (OR = 1.3; 95% CI: 1.1–1.4) and adolescents in the poorest quintile had more than twice the odds of smoking compared with adolescents from the richest quintile (OR = 2.5; 95% CI: 2.2–2.8). Conclusion: Smoking prevention and cessation interventions in Indonesia need to be specific considering the sex, age, socioeconomic status and geographic location of adolescents. Ongoing monitoring of adolescent smoking is important for targeting interventions at higher-risk groups and assessing the effectiveness of current tobacco control strategies.
health outcomes. However, this study demonstrates that with the same budget currently invested in the program, the changes proposed will result in improvements on the current low uptake and poor coverage, thus yielding cost savings for the government and a possibility to reallocate resources to the country's priority health concerns, consequently leading to better health outcomes.
Achieving the goal of ensuring healthy lives and promoting well-being for all at all ages in Indonesia necessitates having a more focused understanding of district-level inequalities across a wide range of public health infrastructure, service, risk factor and health outcomes indicators, which can enable geographical comparison while also revealing areas for intervention to address health inequalities.
Methods: The survey was conducted among 11 110 students from 75 schools in Indonesia using a self-administered questionnaire. Univariate and multivariate analyses were conducted to explore associations between sexual intercourse and socio-demographic variables, substance use, mental distress, and protective factors. Results: Overall, 5.3% of students reported having ever had sex (6.9% of boys and 3.8% of girls). Of students who engaged in sexual intercourse, 72.7% of boys and 90.3% of girls had an early sexual debut (before reaching the age of 15) and around 60% had multiple sex partners. Sexual intercourse was associated with gender, school grade, smoking, alcohol consumption, drug use, suicidal ideation, truancy, peer support, and parental supervision. Conclusions: These findings indicate a pressing need to develop more comprehensive sexual health education in the national curriculum. An effective strategy should also address other risky behaviours.
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