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Peer-reviewedCC BY-NC-NDJournal of family medicine and primary care

Predictors of depression among farmers in rural: A community-based study in South India

  • Reenaa Mohan1
  • Candy Friola2
  • DS Karthiga Devi1
  • R Sindhuri3
  • Archana Subbaraj1
  • V Sravanan4
4 affiliations
  1. 1Department of Community Medicine, Sri Manakula Vinayagar Medical College and Hospital, Puducherry, India
  2. 2Department of General Medicine, ACIR Clinic, Canada
  3. 3Department of Community Medicine, PSP Medical College Hospital And Research Institute Tambaram - Kanchipuram Highway, Oragadam, Panrutti, Sriperumbudur Taluk, Kancheepuram, Tamil Nadu, India
  4. 4Department of Community Medicine, Melmaruvathur Adhiparasakthi Institute of Medical Sciences and Research Melmaruvathur, Kancheepuram, Tamil Nadu, India
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Abstract

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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Cite

BibTeXRIS
BibTeX
@article{mohan2026predictors,
  title = {{Predictors of depression among farmers in rural: A community-based study in South India}},
  author = {Reenaa Mohan and Candy Friola and DS Karthiga Devi and R Sindhuri and Archana Subbaraj and V Sravanan},
  journal = {Journal of family medicine and primary care},
  year = {2026},
  month = jul,
  doi = {10.4103/jfmpc.jfmpc_858_25},
  url = {https://europepmc.org/article/PMC/PMC13722248},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Predictors of depression among farmers in rural: A community-based study in South India
AU  - Reenaa Mohan
AU  - Candy Friola
AU  - DS Karthiga Devi
AU  - R Sindhuri
AU  - Archana Subbaraj
AU  - V Sravanan
PY  - 2026
DA  - 2026/07/01
JO  - Journal of family medicine and primary care
DO  - 10.4103/jfmpc.jfmpc_858_25
UR  - https://europepmc.org/article/PMC/PMC13722248
AB  - 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.
SN  - 2249-4863
SN  - 2278-7135
ER  -