METHODS: Using bivariate analyses and multiple linear regression models we analyzed Demographic and Health Survey (DHS) data from under-fives in 2009-2010 and 2016, combined with spatially explicit data from geographic information systems (GIS). The analyses generated trends and factors associated with undernutrition, which were used in a quasi-experimental setting to compare districts that received the MDG-F JP with similar districts that did not receive MDG-F JP interventions.
RESULTS: A comprehensive set of factors dependent on seasons, locations, and individuals determine undernutrition in Timor-Leste. A positive impact of the MDG-F JP was found for the average severity of wasting, but not for stunting and underweight.
CONCLUSIONS: The findings reinforce the pressing need for integrated and cross-sectoral programs, aimed especially at agricultural workers, mothers, and children. The agricultural challenge is to sustainably select, produce and conserve higher-yield and nutrient-rich crops, and educational enhancement should be aligned with local practices and research.
方法:使用双变量分析和多元线性回归模型,我们分析了2009-2010年和2016年五岁以下人口与健康调查(DHS)数据,并结合了地理信息系统(GIS)的空间明确数据。分析产生了与营养不良相关的趋势和因素,在准实验环境中使用,以比较接受MDG-FJP的地区与未接受MDG-FJP干预的类似地区。
结果:一组取决于季节的综合因素,地点,和个人确定东帝汶的营养不良。发现MDG-FJP对消瘦的平均严重程度有积极影响,但不适用于发育迟缓和体重不足。
结论:这些发现加强了对综合和跨部门计划的迫切需要,特别是针对农业工人,母亲们,还有孩子.农业面临的挑战是可持续地选择,生产和保护高产量和营养丰富的作物,加强教育应与当地的实践和研究保持一致。