Seasonal changes in household food insecurity and symptoms of anxiety and depression
Seasonal changes in household food insecurity and symptoms of anxiety and depression
复制标题
DOI：
10.1002/ajpa.20724
复制
发表时间：
2008-02-01
影响因子：
2.8
通讯作者：
Patil, Crystal L.
中科院分区：
文献类型：
--
作者：
Hadley, Craig;Patil, Crystal L.
人们越来越认识到，常见的精神健康障碍是发展中国家疾病负担的主要因素。对心理健康相关因素的研究主要是在城市环境中进行的，重点是迅速的经济变化给个人带来的负担。在这些环境中，贫困和低教育是焦虑和抑郁症状的一致预测因素。我们认为，这些变量是不安全感的代理，抑郁和焦虑症状的更一般的模型应该集中在局部突出形式的不安全感。建立在以前的工作中的季节性生存环境中，我们确定粮食不安全的一个潜在的不安全来源，在非洲农村设置，然后测试是否在粮食不安全的季节性变化与伴随的变化之间的焦虑和抑郁症状的措施照顾者。结果表明，粮食不安全是焦虑和抑郁症状的强有力预测因素（P < 0.0001），不同季节粮食不安全的变化可以预测焦虑和抑郁症状的变化（P < 0.0001），并且这对于纳入物质资产和家庭生产的协变量是稳健的。这些结果适用于所研究的两个族裔群体（Pimbwe和Sukuma）的个人;然而，在群体层面，福尔斯的负担不成比例地落在Pimbwe身上。这些结果增加了越来越多的文献对心理健康障碍的人口水平差异的原因，并提出了新的研究途径和战略，将心理健康障碍与身体和生物社会结果的变化联系起来。
There is growing awareness that common mental health disorders are key contributors to the burden of disease in developing countries. Studies examining the correlates of mental health have primarily been carried out in urban settings and focused on the burden rapid economic change places on individuals. In these settings, poverty and low education are consistent predictors of anxiety and depressive symptoms. We argue here that these variables are proxies for insecurity, and that a more general model of symptoms of depression and anxiety should focus on locally salient forms of insecurity. Building on previous work in a seasonal subsistence setting, we identify food insecurity as a potent source of insecurity in a rural African setting, and then test whether seasonal changes in food insecurity are correlated with concomitant changes in a measure of symptoms of anxiety and depression among 173 caretakers. Results indicate that food insecurity is a strong predictor of symptoms of anxiety and depression (P < 0.0001), that changes in food insecurity across the seasons predict changes in symptoms of anxiety and depression (P < 0.0001), and that this is robust to the inclusion of covariates for material assets and household production. These results hold for individuals in both ethnic groups studied (Pimbwe and Sukuma); however, at the group level the burden falls disproportionately on Pimbwe. The results add to the growing literature on the causes of population level differences in mental health disorders and suggest new research avenues and strategies to link mental health disorders with variation in physical and biosocial outcomes.