Lutpiatina Leka, Sulistyorini Lilis, Yudhastuti Ririh, Notobroto Hari Basuki
Medical Laboratory Technology Poltekkes Kemenkes Banjarmasin, Banjarbaru, Indonesia.
Campus C Universitas Airlangga, Surabaya, Indonesia.
Glob Pediatr Health. 2024 Feb 23;11:2333794X241227694. doi: 10.1177/2333794X241227694. eCollection 2024.
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. 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. The predictive factors for toddlers with pneumonia were the child's age (-value .070), child development (-value .007), breastfeeding (-value .051), family income (-value .026), and location of houses along the river (-value .025). 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.
幼儿肺炎模式在不同集水区可能有所不同。因此,本研究旨在分析印度尼西亚班贾尔摄政区集水区急性呼吸道感染(ARI)幼儿发展为肺炎的预测因素。采用病例对照设计,有300名受访者,包括106例病例和194名对照。对幼儿的母亲/照顾者进行访谈的问卷。使用多元逻辑回归和向后逐步回归分析41个指标数据,以得出最终模型。幼儿患肺炎的预测因素包括儿童年龄(-值.070)、儿童发育(-值.007)、母乳喂养(-值.051)、家庭收入(-值.026)以及房屋沿河位置(-值.025)。已编制了幼儿肺炎预测指数,可用于改善需要政府更多关注的中低收入阶层幼儿的健康状况。