Objectives: The 2018 Basic Health Research (RISKESDAS), conducted by the Ministry of Health of the Republic of Indonesia showed a high prevalence of dental caries (88.8%) in Indonesia and suggested that smoking tobacco was associated with an increased risk of dental caries. This study analyzed the association between tobacco smoking and dental caries in the Indonesian population. Methods: This was a cross-sectional analysis of secondary data collected from RISKESDAS 2018. The study population included 35 391 Indonesians aged ≥10 years from all 34 provinces. The decayed, missing, and filled teeth (DMFT) index was used to measure dental caries. Smoking status was assessed qualitatively based on smoking activity, and the level of smoking exposure was assessed based on the Brinkman index. A multivariable logistic regression analysis was employed to examine the relationships of smoking status and smoking exposure levels with the DMFT index. Results: Of the population aged ≥10 years, 36% had a DMFT≥8 (females: 37.5%, males: 33.9%). Almost one-fourth (23.4%) were current smokers, and 4.1% were ex-smokers. Furthermore, 26.4% had a Brinkman index ≥400, indicating heavy smoking. According to the multivariate analysis, current smoking status was associated with the risk of DMFT≥8 in males (adjusted odds ratio [aOR], 1.40; 95% CI, 1.27 to 1.55; p<0.001) and overall (aOR, 1.07; 95% CI, 1.00 to 1.14; p=0.037). In females, ex-smoking was associated with a 41% higher risk of DMFT≥8 (aOR, 1.41; 95% CI, 1.07 to 1.84; p=0.014). Heavy smoking was associated with a higher risk of DMFT≥8 in males (aOR, 1.38; 95% CI, 1.25 to 1.52; p<0.001) and females (aOR, 1.24; 95% CI, 1.03 to 1.50; p=0.022). Conclusions Tobacco smoking was associated with dental caries in the Indonesian population.

Objectives: This study investigated the determinants of depression in adolescents and young adults. Methods: The present study analyzed data from the 2018 Indonesia Basic Health Survey (Riset Kesehatan Dasar; RISKESDAS). The study subjects were adolescents (15-17 years old) and young adults (18-24 years old). In total, 64 179 subjects were included. Univariable, bivariable, and multivariable logistic regression analyses were performed to determine associations between youths’ characteristics, risky behavior, chronic disease, parents’ health, and youths’ depression. Results: The prevalence of depression was 5.1% in adolescents and 5.6% in young adults. The risk factors for depression in adolescents were being women (adjusted odds ratio [aOR], 3.53; 95% confidence interval [CI], 2.89 to 4.30; p<0.001), an ex-smoker (aOR, 2.99; 95% CI, 2.10 to 4.25; p<0.001), or a current smoker (aOR, 2.60; 95% CI, 1.97 to 3.44; p<0.001); consuming alcohol (aOR, 2.00; 95% CI, 1.33 to 3.01; p=0.001), having a chronic disease (aOR, 2.64; 95% CI, 1.41 to 4.96; p=0.002); maternal depression (aOR, 2.47; 95% CI, 1.97 to 3.09; p<0.001); and paternal depression (aOR, 2.63; 95% CI, 1.98 to 3.50; p<0.001). In young adults, the risk factors were being women (aOR, 2.23; 95% CI, 1.82 to 2.75; p<0.001) or an ex-smoker (aOR, 2.47; 95% CI, 1.67 to 3.67; p<0.001), consuming alcohol (aOR, 2.42; 95% CI, 1.89 to 3.09; p<0.001), maternal depression (aOR, 3.12; 95% CI, 2.54 to 3.84; p<0.001), and paternal depression (aOR, 2.80; 95% CI, 2.17 to 3.63; p<0.001). Conclusions Being women, smoking, drinking alcohol, having a chronic disease, and having a parent with depression were crucial factors associated with youth depression. Mental health screening, prevention, and treatment should involve collaboration among primary healthcare, schools, universities, professionals, and families.

Objectives: Young mothers are vulnerable to postpartum depression due to role transition-related stress. Understanding the causes underlying these stressors is essential for developing effective interventions. Methods: This study analyzed the 2018 Indonesian Basic Health Research data. The Mini International Neuropsychiatric Interview was used to assess postpartum depression symptoms in mothers aged 15-24 years with infants aged 0-6 months. In 1285 subjects, the risk factors for postpartum depression were evaluated using multivariate logistic regression. Results: The overall prevalence of depression in the 6 months postpartum was 4.0%, with a higher prevalence in urban areas (5.7%) than in rural areas (2.9%). Urban and rural young mothers showed distinct postpartum depression risk factors. In urban areas, living without a husband (odds ratio [OR], 3.82; 95% confidence interval [CI], 1.24 to 11.76), experiencing preterm birth (OR, 4.67; 95% CI, 1.50 to 14.50), having pregnancy complications (OR, 3.03; 95% CI, 1.20 to 7.66), and having postpartum complications (OR, 5.23; 95% CI, 1.98 to 13.80) were associated with a higher risk of postpartum depression. In rural areas, postpartum depression was significantly associated with a smaller household size (OR, 3.22; 95% CI, 1.00 to 10.38), unwanted pregnancy (OR, 4.40; 95% CI, 1.15 to 16.86), and pregnancy complications (OR, 3.41; 95% CI, 1.31 to 8.88). Conclusions In both urban and rural contexts, postpartum depression relates to the availability of others to accompany young mothers throughout the postpartum period and offer support with reproductive issues. Support from the family and the healthcare system is essential to young mothers’ mental health. The healthcare system needs to involve families to support young mothers’ mental health from pregnancy until the postpartum period.