Background: Contraceptives in family planning are used to control the timings between pregnancies. Although the number of those using family planning has increased, determinants of contraceptive use among married women in Indonesia remain insufficient. This research aimed to identify the factors associated with contraceptive use among married women in Indonesia. Methods: This study employed data from the Indonesian Demographic and Health Survey 2017. We selected 35,621 married women aged 15–49 years. Then, the determinants of contraceptive use among married women in Indonesia were examined by binary logistic regression. Results: Women’s age (Adjusted Odds Ratio (AOR)=0.529; 95% CI=0.470–0.597), the number of living children (AOR=44.024; 95% CI=33.193–58.390), education level (adjusted odds ratio=2.800; 95% CI=2.181–3.594), wealth index (AOR=1.104; 95% CI=0.978–1.246), frequency of watching television (AOR=1.555; 95% CI=1.321–1.829), and frequency of using the Internet (AOR=0.856; 95% CI=0.794–0.924) were significantly associated with contraceptive use among married women. Conclusions: This study highlights the determinants of contraceptive use among married women in Indonesia. Women’s age, the number of living children, education level, wealth index, and access to information may influence contraceptive use among these women. This study emphasizes that health education and promotion on the importance of using contraception should be initiated in innovative ways.

Nowadays smartphones are used anywhere and at any time, day or night, by adolescents. Smartphone use, especially at night, is a risk factor for sleep disturbance and depression in adolescents. The purpose of this study was to analyse the correlation between smartphone use at night, sleep disturbance and depression symptoms in adolescents. This cross-sectional study analysed the data from 714 students in Surabaya, who were selected by using a simple random sampling technique. The independent variable was smartphone usage at night while the dependent variable was sleep disturbance and depressive symptoms. The data was collected using three questionnaires: the smartphone usage at night questionnaire, the Insomnia Severity Index questionnaire and the Kutcher Adolescent Depression Scale questionnaire. The data was then analysed using Spearman’s rho analysis (α < 0.05). The results indicated that there was a relationship between the use of smartphones at night and sleep disturbance in adolescents with a positive correlation (r = 0.374), and that there was a relationship between the use of smartphones at night and depression symptoms in adolescents with a positive correlation (r = 0.360). This study highlights that the excessive use of smartphones during the night may play a significant role in sleep problems and depressive symptoms among teenagers. Adolescents with sleep disturbance and depressive symptoms should be carefully monitored for signs of smartphone addiction. Nurses should improve health education for adolescents to inform them about the positive use of smartphones to prevent sleep disturbance and to minimise depressive symptoms.

Background and objective: Healthcare-seeking behavior for children is crucial for reducing disease severity. Such behavior can improve child health outcomes and prevent child morbidity and mortality. The present study sought to analyze the determinants of mothers’ engagement in healthcare-seeking behavior for children with common childhood diseases, focusing on mothers of children aged 0–59 months in Indonesia. Methods: This cross-sectional study comprised a secondary data analysis using the 2002–2017 Indonesia Demographic and Health Survey (IDHS) databases. We included all women surveyed aged 15–49 years old who had children under five years of age. We weighted the univariate, bivariate, and multivariate logistic regression analysis of healthcare-seeking behavior for children aged 0–59 months. Results: We analyzed data for 24,529 women whose children were under five years of age at the time of survey. Common diseases, such as diarrhea, fever, and acute respiratory infection (ARI) were the most frequently cited reasons for healthcare-seeking behavior. During 2002–2017, the proportion of mothers seeking healthcare for their children with diarrhea increased from 67.70% to 69.88%, that with fever increased from 61.48% to 71.64% and that ARI increased from 64.01% to 76.75%. Multivariate analysis revealed that child’s age, child’s birth order, mother’s education, ability to meet expenses, distance to nearest healthcare facility, wealth index, place of residence, and region of residence, were significantly associated with healthcare-seeking behavior. Conclusion: Various individual and environmental-level factors influence healthcare-seeking behavior for childhood diseases. Available, accessible, and affordable health service facilities are recommended to assist socio-economically and geographically disadvantaged families.

Introduction: The proportion of stunted children in Indonesia is slowly decreasing. In most families, a mother is responsible for child care. The quality of maternal caregiving capability influences the mother’s ability to adopt appropriate childcare practices, which is essential to prevent childhood stunting. Objectives: This study aimed to develop a model to enhance maternal caregiving capabilities in preventing childhood stunting based on the UNICEF model of care. Methods: The study used an analytical observational design involving a pair of mothers and their youngest 6–23-month-old children registered at Posyandu (Community-based Integrated Health Care Center). Six hundred respondents were taken using a cluster sampling technique across seven healthcare centers in Surabaya City, East Java, Indonesia. The independent variables were child, mother, father, and household factors, then maternal caregiving capabilities. The dependent variable was the nutritional behavior to prevent childhood stunting. Data were collected using questionnaires and then analyzed using the Structural Equation Model-Partial Least Squares (SEM-PLS) test. Results: The study found that maternal caregiving capabilities are influenced by child (T-stat 2.605), mother (T-stat 3,800), and household factors (T-stat 10,338). Maternal caregiving capabilities affect stunting preventive behavior in children aged 6–23 months (T-stat 2.493). Household factors were the strongest factor affecting maternal caregiving capabilities. Conclusion: Enhancing maternal caregiving capabilities model can be developed using its constituents, especially perceived physical health, psychological well-being, and decision-making. Household factors, including economic level and food security, were also important. High maternal caregiving capabilities were expected to enable mothers to improve their behavior to prevent childhood stunting (6–23 months).