Shinsugi Chisa, Matsumura Masaki, Karama Mohamed, Tanaka Junichi, Changoma Mwatasa, Kaneko Satoshi
Graduate School of International Health Development, Nagasaki University, Nagasaki, Japan.
Department of Human Ecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
BMC Public Health. 2015 Apr 30;15:441. doi: 10.1186/s12889-015-1802-6.
Chronic malnutrition or stunting among children under 5 years old is affected by several household environmental factors, such as food insecurity, disease burden, and poverty. However, not all children experience stunting even in food insecure conditions. To seek a solution at the local level for preventing stunting, a cross-sectional study was conducted in southeastern Kenya, an area with a high level of food insecurity.
The study was based on a cohort organized to monitor the anthropometric status of children. A structured questionnaire collected information on the following: demographic characteristics, household food security based on the Household Food Insecurity Access Scale (HFIAS), household socioeconomic status (SES), and child health status. The associations between stunting and potential predictors were examined by bivariate and multivariate stepwise logistic regression analyses. Furthermore, analyses stratified by level of food security were conducted to specify factors associated with child stunting in different food insecure groups.
Among 404 children, the prevalence of stunting was 23.3%. The percentage of households with severe food insecurity was 62.5%. In multivariative analysis, there was no statistically significant association with child stunting. However, further analyses conducted separately according to level of food security showed the following significant associations: in the severely food insecure households, feeding tea/porridge with milk (adjusted Odds Ratio [aOR]: 3.22; 95% Confidence Interval [95% CI]: 1.43-7.25); age 2 to 3 years compared with 0 to 5 months old (aOR: 4.04; 95% CI: 1.01-16.14); in households without severe food insecurity, animal rearing (aOR: 3.24; 95% CI: 1.04-10.07); SES with lowest status as reference (aOR range: from 0.13 to 0.22). The number of siblings younger than school age was not significantly associated, but was marginally associated in the latter household group (aOR: 2.81; 95% CI: 0.92-8.58).
Our results suggest that measures against childhood stunting should be optimized according to food security level observed in each community.
5岁以下儿童的慢性营养不良或发育迟缓受到多种家庭环境因素的影响,如粮食不安全、疾病负担和贫困。然而,即使在粮食不安全的情况下,并非所有儿童都会发育迟缓。为了在地方层面寻求预防发育迟缓的解决方案,在肯尼亚东南部一个粮食不安全程度较高的地区进行了一项横断面研究。
该研究基于一个旨在监测儿童人体测量状况的队列。一份结构化问卷收集了以下信息:人口统计学特征、基于家庭粮食不安全获取量表(HFIAS)的家庭粮食安全状况、家庭社会经济地位(SES)以及儿童健康状况。通过双变量和多变量逐步逻辑回归分析检验发育迟缓和潜在预测因素之间的关联。此外,按粮食安全水平进行分层分析,以确定不同粮食不安全群体中与儿童发育迟缓相关的因素。
在404名儿童中,发育迟缓的患病率为23.3%。严重粮食不安全家庭的比例为62.5%。在多变量分析中,与儿童发育迟缓没有统计学上的显著关联。然而,根据粮食安全水平分别进行的进一步分析显示了以下显著关联:在严重粮食不安全的家庭中,用牛奶喂茶/粥(调整后的优势比[aOR]:3.22;95%置信区间[95%CI]:1.43 - 7.25);2至3岁儿童与0至5个月大儿童相比(aOR:4.04;95%CI:1.01 - 16.14);在没有严重粮食不安全的家庭中,饲养动物(aOR:3.24;95%CI:1.04 - 10.07);以最低社会经济地位为参照(aOR范围:从0.13至0.22)。学龄以下弟弟妹妹的数量没有显著关联,但在后者家庭组中存在边缘关联(aOR:2.81;95%CI:0.92 - 8.58)。
我们的结果表明,应根据每个社区观察到的粮食安全水平优化针对儿童发育迟缓的措施。