Factors related to stunting in children under 2 years old in the Papua, Indonesia: Does the type of residence matter?

OBJECTIVES: To analyze factors related to stunting in Papua region. METHODS: Secondary data from the 2021 Indonesian National Nutrition Status Survey were used in this study. Samples of 2,937 Papuan children under the age of two were gathered for the study. This study analyzed independent variables (type of residence, mother's age, marriage, mother's education, employment, wealth, child's age, gender, and early breastfeeding initiation (EBFI) with stunting. The relationship was analyzed using logistic regression tests. RESULTS: Stunting is more common among children in Papua's rural areas than in urban (AOR 1.168, 95% CI, 1.128-1.209). Stunting is more common in children who mother do not work than in mothers who do (AOR 1.174, 95% CI, 1.142- 1.207). Stunting is more common in children aged 12-23 months compared to children <12 months (AOR 3.381, 95% CI, 3.291-3.474). Compared to girls, boys are more likely to become stunted (AOR 1.348, 95% CI, 1,314-1,383). Children under the age of two who do not experience EBFI are at higher risk than those who have (AOR 1.078, 95% CI, 1.050-1.106). CONCLUSION: There are eight variables associated with stunting, namely residence, age of mother, mother's education, mother's occupation, economic status, child's age, gender, and EBFI. Prioritization of stunting interventions in Papua should be targeted at mothers who living in rural, having low education, and not doing early breastfeeding initiation.

Regional differences in primary healthcare utilization in Java Region-Indonesia.

BACKGROUND: Policymakers must understand primary healthcare utilization disparity to minimize the gap because they must seek fair service for every citizen. The study analyzes regional differences in primary healthcare utilization in Java Region-Indonesia. METHODS: The cross-sectional research analyzes secondary data from the 2018 Indonesian Basic Health Survey. The study setting represented Java Region-Indonesia, and the participants were adults 15 years or more. The survey explores 629,370 respondents. The study used primary healthcare utilization as an outcome variable and province as the exposure variable. Moreover, the study employed eight control variables (residence, age, gender, education, marital, employment, wealth, and insurance). The study evaluated data using binary logistic regression in the final step. RESULTS: People in Jakarta are 1.472 times more likely to utilize primary healthcare than those in Banten (AOR 1.472; 95% CI 1.332-1.627). People in Yogyakarta are 1.267 times more likely to use primary healthcare than those in Banten (AOR 1.267; 95% CI 1.112-1.444). In addition, people in East Java are 15% less likely to utilize primary healthcare than those in Banten (AOR 0.851; 95% CI 0.783-0.924). Meanwhile, direct healthcare utilization was the same between West Java, Central Java, and Banten Province. They are sequentially starting from the minor primary healthcare utilization: East Java, Central Java, Banten, West Java, Yogyakarta, and Jakarta. CONCLUSION: Disparities between regions exist in the Java Region-Indonesia. They are sequentially starting from the minor primary healthcare utilization: East Java, Central Java, Banten, West Java, Yogyakarta, and Jakarta.

Policy to expand hospital utilization in disadvantaged areas in Indonesia: who should be the target?

BACKGROUND: The disadvantaged areas are one of the government's focuses in accelerating development in Indonesia, including the health sector. The study aims to determine the target for expanding hospital utilization in disadvantaged areas in Indonesia. METHODS: The study employed the 2018 Indonesian Basic Health Survey data. This cross-sectional study analyzed 42,644 respondents. The study used nine independent variables: residence, age, gender, marital, education, employment, wealth, insurance, and travel time, in addition to hospital utilization, as a dependent variable. The study employed binary logistic regression to evaluate the data. RESULTS: The results found that average hospital utilization in disadvantaged areas in Indonesia in 2018 was 3.7%. Urban areas are 1.045 times more likely than rural areas to utilize the hospital (95% CI 1.032-1.058). The study also found age has a relationship with hospital utilization. Females are 1.656 times more likely than males to use the hospital (95% CI 1.639-1.673). Moreover, the study found marital status has a relationship with hospital utilization. The higher the education level, the higher the hospital utilization. Employed individuals have a 0.748 possibility to use the hospital compared with those unemployed (95% CI 0.740-0.757). Wealthy individuals have more chances of using the hospital than poor individuals. Individuals with all insurance types are more likely to utilize the hospital than those uninsured. Individuals with travel times of ≤ 1 h are 2.510 more likely to use the hospital than those with > 1 h (95% CI 2.483-2.537). CONCLUSION: The specific targets to accelerate the increase in hospital utilization in disadvantaged areas in Indonesia are living in a rural area, being male, never in a union, having no education, being employed, being the poorest, uninsured, and having a travel time of > 1 h. The government should make a policy addressing the problem based on the research findings.

Stunting Among Children Under Two Years in the Islands Areas: A Cross-sectional Study of the Maluku Region in Indonesia, 2021.

BACKGROUND: The Maluku region encompasses thousands of islands. The study analyzed factors related to stunting among children under two years old in the Maluku Region of Indonesia. Study Design: A cross-sectional study. METHODS: This cross-sectional study examined 4764 children under two years. In addition to nutritional status (stature), the study analyzed ten independent variables (province, residence, maternal age, marital status, maternal education, employment, wealth, children's age, gender, and early initiation of breastfeeding [EIBF]). Finally, the contribution of various factors to stunting was examined using logistic regression. RESULTS: Children in Maluku province were 1.13 times more likely than those in North Maluku province to become stunted. In addition, children aged 12-13 months were 4.09 times more likely than<12 months, and boys were 1.87 times more likely than girls to have the patterns of stunting. Children in rural areas were 1.10 times more likely to become stunted than those in urban areas (95% confidence interval: 1.06, 1.14). Divorced/widowed mothers were 1.88 times more likely than married mothers. Mothers of all education levels were more likely than those without formal education, and unemployed mothers were 1.07 times more likely than employed mothers to have stunted children. The possibility of becoming stunted was lower when the children were wealthier. CONCLUSION: Nine variables were related to stunted incidence, including province, residence, maternal age, marital status, maternal education, employment, wealth, children's age, and gender.

Assessment of Nutritional Status of Children Under-Five in Families of Adolescent Mothers in Indonesia 2013.

Early marriage has became a worldwide problems and so does nutritional status of children under five. Adolescent mothers is not ready to be married in terms of reproductive health or mentally. Early marriage contributes to the poverty cycle and also helplessness in woman. That many studies on the factors associated with the nutrition status of children under five. However, it is still rarely done in Families of adolescent mothers. This article aims to discuss factors related to nutritional status in children under five. Research design Cross-Sectional with logistic analysis (chi-square test) to 978 samples. Samples are families of adolescent mothers of children under-five. The nutritional status assessment based on, weight for height, weight for age, height for age. This study showed mental emotional disorder of adolescent mother, related with underweight (weight for age; p=sig 0.005) and stunting (height for age; p=sig 0.012). Another factor, wich related with nutritional status (weight for age) is clean and healthy behaviors of mother (p=sig,0.024). Clean and healthy life behavior is a disease prevention program. Variables included in multivariate analysis are, father's occupation, economic status, immunization status, mom's clean and healthy behaviors and mom's mental emotional disorder. Interaction test results, there is no interaction, between mental emotional disorder variable of mother, and father's occupation. The significant factor that related with malnutrition is mom's mental emotional disorder. Underweight, stunting, wasting, closely related to clean-healthy behaviors and mental-emotional disorder of adolescent mothers.