Predictors of depression among farmers in rural: A community-based study in South India
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Reenaa Mohan1, Candy Friola2, Ds Karthiga Devi1
1Department of Community Medicine, Sri Manakula Vinayagar Medical College and Hospital, Puducherry, India.
Background:
Farmers, particularly in rural areas, face a variety of unique stressors that place them at a heightened risk for depression.
Methods:
A community-based analytical cross-sectional study was conducted for 6 months among farmers who are residing in the field practice area of Rural Health Training Centre. Consecutive sampling was applied. Face-to-face interviews were conducted in their house using a predesigned structured questionnaire after obtaining consent. Data were entered in Epi info software version 7, and analysis was done in SPSS version 21.
Results:
Among 212 farmers, it was found that the majority of participants (29.2%) were in the age group of 31-40 years. Females 71.2% were predominant, and 54.2% were illiterates. It was found 58% had minimal depression, and 36% had mild depression. The odds of occurrence of mild to moderate depression was found to be 5.62 (95% CI 1.08-6.37) times higher among farmers with comorbidities when compared to farmers without comorbidities, and there was 4.90 (95% CI 1.84-14.31) times higher odds of developing mild to moderate depression among farmers with addictions when compared to those without addictions. The Nagelkerke R2 value for the model is 24.3%.
Conclusion:
Addictions and comorbidities were found to be significant predictors of mild to moderate depression, highlighting the need for targeted interventions.
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