Investigating the Adoption of Precautionary Behaviors Among Young Rural Adults in South Iran During COVID-19.

COVID-19 is an unprecedented challenge for public health worldwide. Reducing the incidence of the disease requires protective measures to prevent virus transmission. Understanding those factors influencing preventive behavior is the first step in preventing the spread of the disease. This study investigates factors affecting youth intention and preventive behaviors in the face of COVID-19 through the health belief model by using a cross-sectional survey collected through an online questionnaire. The sample comprises 304 rural youth in South Iran who were selected through a random sampling technique. The results reveal that perceived severity, perceived benefits, public health beliefs, perceived self-efficacy, and the cue to act positively and significantly affect preventive behaviors. The model explains 59% of variance changes in rural youth preventive behaviors during COVID-19. Cue to action is the strongest and self-efficacy was the weakest determinant of youth's preventive behavior. This study confirms that the HBM framework has appropriate predictive power and is an effective tool for investigating preventive behaviors during COVID-19. These results provide important policy implications for the development of policies that aim to avoid the further spread of COVID-19 between young citizens.

The Impact of Livelihood Assets on the Food Security of Farmers in Southern Iran during the COVID-19 Pandemic.

The impact of COVID-19 on farmers' livelihoods and food security is a key concern in rural communities. This study investigates the impacts of the livelihood assets on the food security of rural households during the COVID-19 pandemic and determines those factors related to food security. The population of this study includes rural households in Dashtestan county, Bushehr province, in southern Iran. Based on the Krejcie and Morgan sampling table, 293 households were selected using the convenience sampling method. To measure food security, the American standard index and ordinal regression are used to analyze the factors. The results of the food security situation show highly precarious and food insecure situations among the studied rural households. The regression analysis shows that the most important assets affecting the food security of rural households under COVID-19 are financial, psychological, physical, and human assets, respectively. The results can help rural development planners and policymakers to improve both livelihoods and food security in rural communities, not just during the COVID-19 pandemic, but also in its aftermath.

Cognitive theory of stress and farmers' responses to the COVID 19 shock; a model to assess coping behaviors with stress among farmers in southern Iran.

Better understanding the capacity of farmers to react to the COVID-19 pandemic shock requires analyzing their coping mechanisms. This study investigates the relationship between coping style and coping behaviors with COVID-19, identifying the psychological factors affecting them based on the cognitive theory of stress. Perceived government support is added to the original model as a predictor for coping style and behavior. Cross sectional survey data was collected among farmers living in Dashtestan county of Bushehr province in southern Iran (N = 377). To determine the strength of the model, structural equation modeling (SEM) was performed. We find that demand appraisal and perceived collective efficacy have a positive, direct, and significant effect on coping style and an indirect effect on behaviors. Coping style and perceived government support are significantly related to behavior. The research model predicts 63% and 31% of variance changes in coping style and behavior, respectively. The results of this study provide empirical evidence on how people cope with the COVID-19 shock as well as useful information for designing and implementing health and social programs and policies in the agricultural communities.

The power of the health belief model (HBM) to predict water demand management: A case study of farmers' water conservation in Iran.

The purpose of the present study was to explore the power of the Health Belief Model (HBM) to explain water conservation behavior in Northeastern Iran. The research population consisted of farmers who were farming in Neyshabur plain in Khorasan Razavi Province in northeast of Iran. A cross-sectional study was conducted among 235 farmers recruited using a multistage random sampling design. To collect data, the questionnaire was used which its validity and reliability were confirmed. The results of a structural equation modeling (SEM) indicated that perceived susceptibility, perceived benefits, and cue to action accounted for approximately 41% of the variance in farmers' water conservation behavior. Moreover, the perceived benefit was the strongest predictor of water conservation behavior, while perceived severity, perceived barriers, self-efficacy, and general beliefs not significant on behavior. These results confirmed the practicability and effectiveness HBM for examining water conservation behavior among farmers in Iran.