| Literature DB >> 31810320 |
Sahar Daghagh Yazd1, Sarah Ann Wheeler1, Alec Zuo1.
Abstract
Recently, concern has increased globally over farmers' mental health issues. We present a systematic review of the outcomes, locations, study designs, and methods of current studies on farmers' mental health. In particular, this review aims to fill an important gap in understanding of the potential key risk factors affecting farmers' mental health around the world. 167 articles on farmer mental health were included in a final systematic review using a standardized electronic literature search strategy and PRISMA guidelines. The four most-cited influences on farmers' mental health in the reviewed literature respectively were pesticide exposure, financial difficulties, climate variabilities/drought, and poor physical health/past injuries. The majority of studies were from developed countries, most specifically from the United States, Australia, and the United Kingdom. Comparative studies on the mental health of farmers and other occupational workers showed mixed results, with a larger portion identifying that psychological health disturbances were more common in farmers and farm-workers. Knowledge of farmer psychological disorder risk factors and its impacts are essential for reducing the burden of mental illness. Further research will be required on climate change impacts, developing country farmers' mental health, and information on how to reduce help-seeking barriers amongst farmers.Entities:
Keywords: farmers’ mental health; farming stress; mental disorder; systematic review
Mesh:
Year: 2019 PMID: 31810320 PMCID: PMC6926562 DOI: 10.3390/ijerph16234849
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Schematic for identifying studies.
Geographical locations of the selected studies.
| Geographical Location | Number of Studies | Percent of Total |
|---|---|---|
| US | 45 | 27% |
| Australia | 29 | 17% |
| UK | 13 | 8% |
| Mexico | 10 | 6% |
| China | 5 | 3% |
| South Korea | 6 | 3% |
| Norway | 5 | 3% |
| Iran | 6 | 3% |
| India | 5 | 3% |
| France | 4 | 2% |
| Brazil | 5 | 2% |
| Canada | 3 | 2% |
| New Zealand | 3 | 2% |
| Chile | 2 | 1% |
| Sweden | 2 | 1% |
| Turkey | 2 | 1% |
| Finland | 2 | 1% |
| Netherlands | 2 | 1% |
| Tanzania | 2 | |
| Philippines | 2 | |
| Other countries (Iceland, Nepal, Egypt, Pakistan, United Arab Emirates, Costa Rica, Greece, Japan, Malaysia, Thailand, Bolivia, Ghana, Nigeria, Europe countries) | 14 | Less than 1% each |
Note: Percent totals may not exactly sum to 100% due to rounding.
Figure 2Number of farmers’ mental health studies published by country.
Figure 3Number of farmers’ mental health studies from 1979 to April 2019.
Details of the mental health measures used in the selected studies.
| Scale | Count | Percent of Total |
|---|---|---|
| Centre for Epidemiologic Studies-Depression (CES-D) [ | 29 | 18% |
| Questionnaires based on the Midtown Manhattan study [ | 28 | 17% |
| In-depth interviews [ | 18 | 11% |
| Brief Symptom Inventory Scale [ | 16 | 9% |
| (Kessler 10) K10 [ | 12 | 7% |
| Clinical Test [ | 12 | 7% |
| Farm Stressor Inventory [ | 11 | 6% |
| Mini-Mental State Examination (MMSE) [ | 9 | 5% |
| Hospital Anxiety and Depression (HAD) [ | 8 | 5% |
| General Health Questionnaire-12 (GHQ-12) [ | 7 | 4% |
| SF-36 [ | 4 | 2% |
| Health Option Survey (HOS) [ | 2 | 1% |
| Other methods (COOP/WONCA charts [ | 11 | 6% |
Note: Percent totals may not exactly sum to 100% due to rounding. * These studies often used self-reporting methods to allow participants to tell their stories, and discuss their issues. The results of the discussions were defined as revealing farmers’ mental health issues.
Key farmer mental health risk factors.
| Key Risk Factors | Total Number (and %) of Studies Naming This Stress | Developed Countries (No. and %) | Developing Countries (No. and %) | USA | Australia (No. and %) |
|---|---|---|---|---|---|
| Pesticide exposure | 43 (19%) | 25 (15%) | 18 (34%) | 11 (16%) | 1 (2%) |
| Finances in general (input prices/income/profit/market condition) | 39 (18%) | 31 (18%) | 8 (18%) | 14 (21%) | 6 (15%) |
| Weather uncertainty (incl. drought and climate change) | 25 (11%) | 22 (13%) | 3 (5%) | 5 (7%) | 16 (40%) |
| Poor physical health/past injury | 23 (10%) | 18 (10%) | 5 (7%) | 9 (13%) | 1 (2%) |
| Farming in general/heavy workload/stress/hazards in farming | 17 (8%) | 12 (7%) | 5 (11%) | 7 (10%) | 2 (5%) |
| Government policies and regulations/paper-work | 14 (6%) | 13 (8%) | 1 (2%) | 5 (7%) | 2 (5%) |
| Isolation/loneliness/lack of social relationships | 14 (6%) | 11 (7%) | 3 (7%) | 4 (6%) | 2 (5%) |
| Concern about the future of the farm/animal disease/machinery breakdown | 12 (5%) | 12 (7%) | 0 (0%) | 3 (4%) | 2 (5%) |
| Working with family (role conflict) | 12 (5%) | 11 (7%) | 1 (2%) | 5 (7%) | 2 (5%) |
| Time pressure | 9 (4%) | 7 (4%) | 2 (5%) | 2 (3%) | 2 (5%) |
| Other issues—no theme identified (e.g., paddy glut/firearm exposure/media criticism/coal seam gas/electricity irrigation costs development/leaving family for work/community characteristics/work ability/lack of skilled labour/living condition/poor housing)/poor access to market information/levels of mindfulness | 14 (6%) | 10 (5%) | 5 (9%) | 4 (6%) | 5 (12%) |
Note: Percent totals may not exactly sum to 100% due to rounding.