Prediction of Toddlers Acute Respiratory Infection (ARI) to Become Pneumonia in Martapura Catchment Area, Banjar District, Indonesia

Introduction. The pneumonia pattern in young children may vary across different catchment areas. Therefore, this study aims to analyze the predictive factors for toddlers with an Acute Respiratory Infection (ARI) developing into pneumonia in the catchment area of Banjar Regency, Indonesia. Methods. A case-control design, with 300 respondents, consisting of 106 cases and 194 controls. A questionnaire of interviews with mothers/caregivers of toddlers. Forty-one indicators data were analyzed using multiple logistic regression with backward stepwise regression to arrive at the final model. Results. The predictive factors for toddlers with pneumonia were the child's age (P-value .070), child development (P-value .007), breastfeeding (P-value .051), family income (P-value .026), and location of houses along the river (P-value .025). Conclusion. A prediction index for toddler pneumonia has been compiled, which can be applied to improve the health of lower middle-class toddlers requiring more government attention.

Association of Low Family Income With Lung Function Among Children and Adolescents: Results of the J-SHINE Study

Background

The respiratory tract of children in low-income families is more likely to be exposed to toxins, which may lead to poor lung function. The purpose of this study was to elucidate the impact of low household income on lung function among children and adolescents in Japan.

Methods

We analyzed a population-based sample of 1,224 children aged 5 to 17 years old from the Japanese Study on Stratification, Health, Income, and Neighborhood (J-SHINE). Forced expiratory volume in 1 s (FEV1) and in 6 s (FEV6) was measured. Annual household income and other potential covariates were assessed through a questionnaire. Low household income was defined as less than 3 million yen (approximately 27,000 United States dollars [USD]) per year. Multivariate regression analysis was used to adjust for potential covariates.

Results

We observed statistically significantly lower FEV1:FEV6 ratio with children in lowest-income families compared with those in highest-income families, after adjusting for child’s age and sex (coefficient = −0.082; 95% confidence interval [CI], −0.131 to −0.034). After adjusting for other covariates, including parental smoking status and parental diagnosis of asthma, a similar trend remained (coefficient = −0.054; 95% CI, −0.109 to 0.001).

Conclusions

Children in low-income families showed significantly lower lung function than those in high-income families. Prevention and early intervention are necessary to help the development of lung function among children living in low-income families.