Tahernejad Azadeh, Sohrabizadeh Sanaz, Mehrabi Yadollah, Mashhadi Ali
Department of Health in Disasters and Emergencies, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Air Quality and Climate Change Research Center, Research Institute for Health Sciences and Environment, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
BMC Public Health. 2025 May 22;25(1):1883. doi: 10.1186/s12889-025-23098-0.
Drought has had a significant impact on farmers, resulting in a substantial increase in mental health disorders among them. This study aimed to test the model of forming psychological resilience among farmers in drought-affected regions in Iran using a valid and reliable tool designed during the research.
A quantitative cross-sectional study was conducted in 2024 in two stages. Firstly, the tool for measuring the model components was designed. Its psychometric properties were evaluated using the content and face validity as well as Cronbach's alpha and test-retest methods. Secondly, the model was tested using structural equation modeling (SEM). The sample size was estimated as 400 farmers being selected by the cluster-random sampling method. Descriptive statistics were performed using SPSS version 22.0 and SEM was conducted using Mplus version 7.
Out of 400 distributed questionnaires, 387 were returned to the researchers. The psychometric results showed acceptable validity and reliability (CVI = 0.86, CVR = 0.92, and Cronbach's alpha = 0.88). The SEM results indicated that the initial model needed modifications to improve fit indices (χ²/df = 2.30, CFI = 0.67, TLI = 0.77, RMSEA = 0.042, SRMR = 0.031). The valid model for psychological resilience was achieved after conducting the modifications (χ²/df = 2.90, CFI = 0.98, TLI = 0.97, RMSEA = 0.031, SRMR = 0.021).
This study showed that the model is appropriate for the context of Iran. Utilizing the model and its components, targeted interventions can be implemented to improve the psychological resilience of farmers both in practice and in the field. Furthermore, the tool designed in this study allows for the analysis of the model's applicability in other provinces affected by drought in Iran. Based on the findings, informed decisions and interventions can be effectively formulated.
干旱对农民产生了重大影响，导致他们的心理健康障碍大幅增加。本研究旨在使用研究期间设计的有效且可靠的工具，检验伊朗受干旱影响地区农民形成心理韧性的模型。
2024年分两个阶段进行了一项定量横断面研究。首先，设计了测量模型组件的工具。使用内容效度、表面效度以及克朗巴哈系数和重测法对其心理测量特性进行了评估。其次，使用结构方程模型（SEM）对模型进行了检验。样本量估计为通过整群随机抽样方法选取400名农民。使用SPSS 22.0版本进行描述性统计，并使用Mplus 7版本进行SEM分析。
在分发的400份问卷中，有387份返回给了研究人员。心理测量结果显示效度和信度可接受（CVI = 0.86，CVR = 0.92，克朗巴哈系数 = 0.88）。SEM结果表明，初始模型需要修改以改善拟合指数（χ²/df = 2.30，CFI = 0.67，TLI = 0.77，RMSEA = 0.042，SRMR = 0.031）。修改后获得了心理韧性的有效模型（χ²/df = 2.90，CFI = 0.98，TLI = 0.97，RMSEA = 0.031，SRMR = 0.021）。
本研究表明该模型适用于伊朗的情况。利用该模型及其组件，可以在实践和实地实施有针对性的干预措施，以提高农民的心理韧性。此外，本研究设计的工具能够分析该模型在伊朗其他受干旱影响省份的适用性。基于这些发现，可以有效地制定明智的决策和干预措施。
