Department of Epidemiology and Environmental Health, The State University of New York, University at Buffalo, Buffalo, NY 14214, USA.
Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Int J Environ Res Public Health. 2021 Jun 3;18(11):6020. doi: 10.3390/ijerph18116020.
: With millions of people experiencing malnutrition and inadequate water access, FI and WI remain topics of vital importance to global health. Existing unidimensional FI and WI metrics do not all capture similar multidimensional aspects, thus restricting our ability to assess and address food- and water-related issues. : Using the Sanitation, Hygiene and Infant Nutrition Efficacy (SHINE) trial data, our study conceptualizes household FI ( = 3551) and WI ( = 3311) separately in a way that captures their key dimensions. We developed measures of FI and WI for rural Zimbabwean households based on multiple correspondence analysis (MCA) for categorical data. : Three FI dimensions were retained: 'poor food access', 'household shocks' and 'low food quality and availability', as were three WI dimensions: 'poor water access', 'poor water quality', and 'low water reliability'. Internal validity of the multidimensional models was assessed using confirmatory factor analysis (CFA) with test samples at baseline and 18 months. The dimension scores were associated with a group of exogenous variables (SES, HIV-status, season, depression, perceived health, food aid, water collection), additionally indicating predictive, convergent and discriminant validities. : FI and WI dimensions are sufficiently distinct to be characterized via separate indicators. These indicators are critical for identifying specific problematic insecurity aspects and for finding new targets to improve health and nutrition interventions.
: 由于数百万人面临营养不良和水资源获取不足的问题,粮食不安全和水不安全仍然是全球卫生的重要议题。现有的一维粮食不安全和水不安全指标并未全部涵盖类似的多维方面,从而限制了我们评估和解决与食物和水相关问题的能力。: 利用卫生、环境卫生和婴儿营养效果(SHINE)试验数据,我们以一种可以捕捉其关键维度的方式分别对家庭粮食不安全(=3551)和水不安全(=3311)进行概念化。我们基于类别数据的多元对应分析(MCA)为津巴布韦农村家庭制定了粮食不安全和水不安全的衡量标准。: 保留了三个粮食不安全维度:“食物获取不足”、“家庭冲击”和“食物质量和供应低”,以及三个水不安全维度:“水资源获取不足”、“水质差”和“供水可靠性低”。采用验证性因子分析(CFA)对基线和 18 个月时的测试样本进行多维模型的内部有效性评估。维度得分与一组外生变量(SES、HIV 状况、季节、抑郁、感知健康、粮食援助、水收集)相关联,此外还表明具有预测、收敛和判别效度。: 粮食不安全和水不安全维度足够独特,可以通过单独的指标来描述。这些指标对于识别特定的不安全问题方面和寻找新的目标以改善健康和营养干预措施至关重要。