Rahayuwati Laili, Komariah Maria, Sari Citra Windani Mambang, Yani Desy Indra, Hermayanti Yanti, Setiawan Arlette, Hastuti Hediati, Maulana Sidik, Kohar Kelvin
Department of Community Health Nursing, Faculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, Indonesia.
Department of Fundamental Nursing, Faculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, Indonesia.
J Multidiscip Healthc. 2023 Aug 14;16:2271-2278. doi: 10.2147/JMDH.S417749. eCollection 2023.
It is widely acknowledged that the socioeconomic circumstances of a family income are correctly reflected in that family expenditures. The dietary habits of families are influenced by socioeconomic circumstances that may affect stunting. Therefore, this study aims to investigate the household economic predictor stunting (mother's employment, family income, and family expenditure) in children under five.
This study used a cross-sectional design. Six districts and cities have been chosen as study areas based on the areas with the highest incidence of stunting in West Java, Indonesia. This study conducted specifically from October to December 2018. Data were examined using descriptive statistics (frequency distribution) and a Spearman Rank bivariate test. A logistic regression was employed to determine the elements that serve as predictors of stunting.
A total of 731 women with children under five participated in the study. A bivariate analysis showed that mother's employment had an association with stunting among children under five ( = 0.014). Meanwhile, family income and expenditure are not statistically significant associated with stunting ( > 0.05). A multivariate analysis showed that mother's employment was a stunting predictor with odd ratio (OR) 1.810 ( = 0.017). The OR value means that mothers who do not work have a 1.810 chance for their children to experience stunting compared with mothers who have work. However, family income and expenditure have negative projected values ( = 0.580 and = 0.398, respectively).
Children under five who are stunted are potentially predictive with mothers' employment, with a chance is higher in mother who do not work. However, family income and expenditure are not predictive of stunting.
人们普遍认为家庭收入的社会经济状况能在家庭支出中得到正确反映。家庭的饮食习惯受可能影响发育迟缓的社会经济状况影响。因此,本研究旨在调查五岁以下儿童发育迟缓的家庭经济预测因素(母亲就业情况、家庭收入和家庭支出)。
本研究采用横断面设计。根据印度尼西亚西爪哇发育迟缓发病率最高的地区,选取了六个区和城市作为研究区域。本研究于2018年10月至12月具体开展。数据采用描述性统计(频率分布)和Spearman等级双变量检验进行分析。采用逻辑回归确定作为发育迟缓预测因素的要素。
共有731名有五岁以下子女的妇女参与了本研究。双变量分析表明,母亲就业情况与五岁以下儿童发育迟缓有关联(P = 0.014)。同时,家庭收入和支出与发育迟缓无统计学显著关联(P > 0.05)。多变量分析表明,母亲就业情况是发育迟缓的预测因素,比值比(OR)为1.810(P = 0.017)。该OR值意味着与有工作的母亲相比,没有工作的母亲其孩子发生发育迟缓的几率为1.810。然而,家庭收入和支出的预测值为负(分别为P = 0.580和P = 0.398)。
五岁以下发育迟缓儿童可能与母亲就业情况有关,没有工作的母亲其孩子发生发育迟缓的几率更高。然而,家庭收入和支出不能预测发育迟缓。