Structural equation modeling of the relationships between pesticide poisoning, depressive symptoms and safety behaviors among Colorado farm residents.
Structural equation modeling of the relationships between pesticide poisoning, depressive symptoms and safety behaviors among Colorado farm residents.
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DOI：
10.1300/j096v11n03_05
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发表时间：
2006-01-01
影响因子：
2.4
通讯作者：
Stallones, Lorann
中科院分区：
文献类型：
--
作者：
Beseler, Cheryl Lynn;Stallones, Lorann
目的：使用结构方程模型（SEM）来检验以下理论：过去的农药中毒可能在抑郁症和安全实践之间的关系中发挥中介作用。在之前发表的一份报告中，抑郁症与农药中毒有关，并且与安全行为的相关性比农场居民的工作量、社会支持或健康状况的相关性更强。 方法：在科罗拉多州东北部的八个县对农民及其配偶进行了一项横断面调查。使用流行病学研究中心抑郁症（CES-D）量表评估抑郁症状。使用探索性和验证性因素分析来识别与抑郁症和安全实践的危险因素最相关的症状。 SEM 用于检验抑郁症与健康状况不佳、经济困难、农药中毒史和安全实践之间关系的理论因果模型。结果：探索性因素分析确定了 CES-D 量表中的三个因素。 SEM显示，健康状况不佳、经济困难和农药中毒史是抑郁症状的重要原因。当对农药中毒先于抑郁的概率进行建模时，得到了与安全行为非常吻合的模型，但当反转方向并建模农药中毒之前的抑郁时，则不可能拟合。结论：特定的抑郁症状似乎主要与动物处理和农业机械显着相关。根据 SEM 结果，事件顺序是农药中毒先于与安全行为相关的抑郁情绪。
PURPOSE: To use structural equation modeling (SEM) to test the theory that a past pesticide poisoning may act as a mediator in the relationship between depression and safety practices. Depression has been associated with pesticide poisoning and was more strongly associated with safety behaviors than workload, social support or health status of farm residents in a previously published report.METHODS: A cross-sectional survey of farmers and their spouses was conducted in eight counties in northeastern Colorado. Depressive symptoms were assessed using the Center for Epidemiologic Studies-Depression (CES-D) scale. Exploratory and confirmatory factor analyses were used to identify symptoms most correlated with risk factors for depression and safety practices. SEM was used to examine theoretical causal models of the relationship between depression and poor health, financial difficulties, a history of pesticide poisoning, and safety practices.RESULTS: Exploratory factor analysis identified three factors in the CES-D scale. The SEM showed that poor health, financial difficulties and a history of pesticide poisoning significantly explained the depressive symptoms. Models with an excellent fit for the safety behaviors resulted when modeling the probability that the pesticide poisoning preceded depression, but no fit was possible when reversing the direction and modeling depression preceding pesticide poisoning.CONCLUSIONS: Specific depressive symptoms appeared to be significantly associated with primarily animal handling and farm machinery. The order of events, based on SEM results, was a pesticide poisoning preceding depressed mood in relation to safety behaviors.