Farmer Burnout in Canada
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Questionnaire
2.3. Sample Size
2.4. Statistical Analyses
3. Results
4. Discussion
4.1. Exhaustion
4.2. Cynicism
4.3. Professional Efficacy
4.4. Profiles
4.5. Gender Differences in Burnout
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
- Sanne, B.; Mykletun, A.; Moen, B.E.; Dahl, A.A.; Tell, G.S. Farmers are at risk for anxiety and depression: The Hordaland Health Study. Occup. Med. (Chic. Ill) 2004, 54, 92–100. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Elliott, M.; Heaney, C.A.; Wilkins, J.R., III; Mitchell, G.L.; Bean, T. Depression and perceived stress among cash grain farmers in Ohio. J. Agric. Saf. Health 1995, 1, 177–184. [Google Scholar] [CrossRef]
- Torske, M.O.; Hilt, B.; Glasscock, D.; Lundqvist, P.; Krokstad, S. Anxiety and depression symptoms among farmers: The HUNT Study, Norway. J. Agromed. 2016, 21, 24–33. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Jones-Bitton, A.; Best, C.; MacTavish, J.; Fleming, S.; Hoy, S. Stress, anxiety, depression and resilience in Canadian farmers. Soc. Psychiatry Psychiatr. Epidemiol. 2019, 1–8. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Booth, N.J.; Lloyd, K. Stress in farmers. Int. J. Soc. Psychiatry 2000, 46, 67–73. [Google Scholar] [CrossRef] [PubMed]
- Walker, J.L.; Walker, L.J.S. Self-reported stress symptoms in farmers. J. Clin. Psychol. 1988, 44, 10–16. [Google Scholar] [CrossRef]
- Fraser, C.E.; Smith, K.B.; Judd, F.; Humphreys, J.S.; Fragar, L.J.; Henderson, A. Farming and mental health problems and mental illness. Int. J. Soc. Psychiatry 2005, 51, 340–349. [Google Scholar] [CrossRef]
- Kallioniemi, M.K.; Simola, A.; Kaseva, J.; Kymäläinen, H.R. Stress and burnout among Finnish dairy farmers. J. Agromed. 2016, 21, 259–268. [Google Scholar] [CrossRef]
- Brumby, S.; Chandrasekara, A.; McCoombe, S.; Kremer, P.; Lewandowski, P. Cardiovascular risk factors and psychological distress in Australian farming communities. Aust. J. Rural Health 2012, 20, 131–137. [Google Scholar] [CrossRef]
- Hounsome, B.; Edwards, R.T.; Hounsome, N.; Edwards-Jones, G. Psychological morbidity of farmers and non-farming population: Results from a UK survey. Community Ment. Health J. 2012, 48, 503–510. [Google Scholar] [CrossRef]
- Kauppinen, T.; Vainio, A.; Valros, A.; Rita, H.; Vesala, K.M. Improving animal welfare: Qualitative and quantitative methodology in the study of farmers’ attitudes. Anim. Welf. 2010, 19, 523–536. [Google Scholar]
- Devitt, C.; Kelly, P.; Blake, M.; Hanlon, A.; More, S.J. An investigation into the human element of on-farm animal welfare incidents in Ireland. Sociol. Rural. 2015, 55, 400–416. [Google Scholar] [CrossRef]
- Andrade, S.B.; Anneberg, I. Farmers under pressure. analysis of the social conditions of cases of animal neglect. J. Agric. Environ. Ethics 2014, 27, 103–126. [Google Scholar] [CrossRef]
- Food and Agriculture Organization of the United Nations (FAO) How to Feed the World in 2050. Available online: http://www.fao.org/fileadmin/templates/wsfs/docs/expert_paper/How_to_Feed_the_World_in_2050.pdf (accessed on 23 November 2018).
- Leiter, M.P.; Maslach, C. Latent burnout profiles: A new approach to understanding the burnout experience. Burn. Res. 2016, 3, 89–100. [Google Scholar] [CrossRef] [Green Version]
- Salvagioni, D.A.J.; Melanda, F.N.; Mesas, A.E.; González, A.D.; Gabani, F.L.; De Andrade, S.M. Physical, psychological and occupational consequences of job burnout: A systematic review of prospective studies. PLoS ONE 2017, 12, 0185781. [Google Scholar] [CrossRef]
- Campéon, A.; Batt-Moillo, A. Evolution de l’environement de travail et usure mentale en milieu agricole. Sante Publique (Paris) 2008, 20, 109–119. [Google Scholar] [CrossRef]
- Lourel, M.; Mabire, C. Le desequilibre efforts-recompenses et les debordements entre vie au travail, vie privee chez les eleveurs laitiers: Leurs effects sur l’epuisement professionnel. Sante Publique (Paris) 2008, 20, 89–98. [Google Scholar] [CrossRef]
- Reissig, L.; Crameri, A.; von Wyl, A. Prevalence and predictors of burnout in Swiss farmers—Burnout in the context of interrelation of work and household. Ment. Health Prev. 2019, 14, 200157. [Google Scholar] [CrossRef]
- Maslach, C.; Jackson, S.E.; Leiter, M.P. Maslach Burnout Inventory Manual, 4th ed.; Mind Garden, Inc.: Menlo Park, CA, USA, 2016. [Google Scholar]
- Dohoo, I.; Martin, W.; Stryhn, H. Methods in Epidemiologic Research, 2nd ed.; VER Inc.: Charlottetown, PE, Canada, 2012. [Google Scholar]
- Lindner, J.R.; Murphy, T.H.; Briers, G.E. Handling nonresponse In social science research. J. Agric. Educ. 2010, 42, 43–53. [Google Scholar] [CrossRef] [Green Version]
- Statistics Canada Table 32-10-0403-01 Statistics Canada 2016 Census of Agriculture—Farms Classified by Farm Type. Available online: https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210040301 (accessed on 21 May 2019).
- Statistics Canada Table 32-10-0440-01 Statistics Canada 2016 Census of Agriculture—Total Number of Farms and Farm Operators, by Province. Available online: https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210044001&pickMembers%5B0%5D=1.2179 (accessed on 21 May 2019).
- Statistics Canada Table 32-10-0442-01 Statistics Canada 2016 Census of Agriculture—Farm Operators Classified by Number of Operators Per Farm and Age. Available online: https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210044201 (accessed on 21 May 2019).
- Statistics Canada Table 32-10-0441-01 Statistics Canada 2016 Census of Agriculture—Farm Operators Classified by Number of Operators Per Farm and Sex. Available online: https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210044101&pickMembers%5B0%5D=1.1&pickMembers%5B1%5D=3.3 (accessed on 21 May 2019).
- Bocéréan, C.; Dupret, E.; Feltrin, M. Maslach Burnout Inventory—General Survey: French validation in a representative sample of employees. SCIREA J. Health 2019, 3, 24–61. [Google Scholar]
- Lee, R.T.; Ashforth, B.E. A meta-analytic examination of the correlates of the three dimensions of job burnout. J. Appl. Psychol. 1996, 81, 123–133. [Google Scholar] [CrossRef] [PubMed]
- Canadian Agricultural Human Resources Council How Labour Challenges Will Shape the Future of Agriculture: Agricultural Forecast to 2029. 2019. Available online: https://cahrc-ccrha.ca/sites/default/files/CAHRC-National-Report-FINAL-August-19-2019.pdf (accessed on 19 August 2019).
- Suess-Reyes, J.; Fuetsch, E. The future of family farming: A literature review on innovative, sustainable and succession-oriented strategies. J. Rural Stud. 2016, 47, 117–140. [Google Scholar] [CrossRef]
- Keating, N.C. Reducing stress of farm men and women. Fam. Relat. 1987, 36, 358–363. [Google Scholar] [CrossRef]
- Paskewitz, E.A.; Beck, S.J. When work and family merge: Understanding intragroup conflict experiences in family farm businesses. J. Fam. Commun. 2017, 17, 386–400. [Google Scholar] [CrossRef] [Green Version]
- Quinn, C.E.; Halfacre, A.C. Place matters: An investigation of farmers’ attachment to their land. Hum. Ecol. Rev. 2014, 20, 117–132. [Google Scholar] [CrossRef]
- Portoghese, I.; Leiter, M.P.; Maslach, C.; Galletta, M.; Porru, F.; D’Aloja, E.; Finco, G.; Campagna, M. Measuring burnout among university students: Factorial validity, invariance and latent profiles of the Italian Version of the Maslach Burnout Inventory Student Survey (MBI-SS). Front. Psychol. 2018, 9, 2105. [Google Scholar] [CrossRef] [Green Version]
- Walker, L.; Walker, J. Stressors and symptoms predictive of distress in farmers. Fam. Relat. 1987, 36, 374–378. [Google Scholar] [CrossRef]
- Purvanova, R.K.; Muros, J.P. Gender differences in burnout: A meta-analysis. J. Vocat. Behav. 2010, 77, 168–185. [Google Scholar] [CrossRef]
- Addis, M.E. Gender and depression in men. Clin. Psychol. Sci. Pract. 2008, 15, 153–168. [Google Scholar] [CrossRef]
- Oncescu, J. Rural restructuring and its impact on community recreation opportunities. Ann. Leis. Res. 2015, 18, 83–104. [Google Scholar] [CrossRef]
- Kelloway, E.K. Mental health in the workplace: Towards evidence-based practice. Can. Psychol. 2017, 58, 1–6. [Google Scholar] [CrossRef]
- Maricuţoiu, L.P.; Sava, F.A.; Butta, O. The effectiveness of controlled interventions on employees’ burnout: A meta-analysis. J. Occup. Organ. Psychol. 2016, 89, 1–27. [Google Scholar] [CrossRef]
- West, C.P.; Dyrbye, L.N.; Erwin, P.J.; Shanafelt, T.D. Interventions to prevent and reduce physician burnout: A systematic review and meta-analysis. Lancet 2016, 388, 2272–2281. [Google Scholar] [CrossRef]
Characteristic | Study Sample | 2016 Census |
---|---|---|
Farm Type | N = 1075 # (%) | N = 193,492 # (%) |
Dairy cattle | 387 (36.0) | 10,525 (5.4) |
Beef cattle | 233 (21.7) | 36,013 (18.6) |
Pigs | 118 (10.9) | 3305 (1.7) |
Broiler chicken | 111 (10.3) | 2175 (1.1) |
Layer chicken | 89 (8.3) | 2008 (1.0) |
Turkeys | 35 (3.3) | 294 (0.15) |
Sheep (meat and dairy combined) | 108 (10.0) | 2189 (1.1) |
Goat (meat and dairy combined) | 35 (3.2) | 867 (0.44) |
Other animal | 42 a (3.9) | 18,143 b (9.4) |
Crops | 671 (62.4) | 90,011 (46.5) |
Horticulture | 49 (4.6) | 20,547 (10.6) |
Other farming c | 19 (1.8) | 7415 (3.8) |
Number of farmers by province | N = 1075 # (%) | N = 271,935 # (%) |
Ontario | 774 (72.0) | 70,470 (25.9) |
Alberta | 97 (9.0) | 41,995 (15.4) |
British Columbia | 58 (5.4) | 4630 (1.7) |
Manitoba | 51 (4.7) | 3005 (1.1) |
Saskatchewan | 49 (4.6) | 500 (0.2) |
New Brunswick | 16 (1.5) | 20,140 (7.4) |
Nova Scotia | 12 (1.1) | 45,350 (16.7) |
Quebec | 10 (0.9) | 57,605 (21.1) |
Newfoundland and Labrador | 5 (0.5) | 26,430 (9.7) |
Prince Edward Island | 3 (0.3) | 1810 (0.7) |
n | Mean (SD a) | Median (IQR b) | |
---|---|---|---|
Exhaustion subscale (Cronbach-alpha: 0.93) | |||
Total | 1075 | 2.68 (1.63) | 2.6 (1.2–4.0) |
Male | 670 | 2.57 (1.63) | 2.4 (1.2–3.8) |
Female | 290 | 2.91 (1.63) | 2.8 (1.4–4.2) |
Gender not reported c | 115 | 2.72 (1.58) | 2.6 (1.4–4.2) |
Cynicism subscale (Cronbach-alpha: 0.84) | |||
Total | 1005 | 2.12 (1.47) | 1.8 (1.0–3.2) |
Male | 647 | 2.06 (1.42) | 1.8 (1.0–3.0) |
Female | 287 | 2.27 (1.50) | 2.0 (1.2–3.4) |
Gender not reported c | 71 | 2.05 (1.75) | 1.4 (0.8–3) |
Professional efficacy subscale (Cronbach-alpha: 0.82) | |||
Total | 1008 | 4.85 (1.01) | 5.2 (4.3–5.7) |
Male | 651 | 4.88 (0.98) | 5.0 (4.3–5.7) |
Female | 288 | 4.75 (1.08) | 5.2 (4.0–5.8) |
Gender not reported c | 69 | 4.87 (1.10) | 5.3 (4.0–5.8) |
Exhaustion model (n = 895) | Beta coefficient | 95% CI | p-value |
Main effects: | |||
Age a | −0.08 | −0.12, −0.05 | <0.001 |
Gender a,b (Referent: male) | −2.81 | −5.86, 0.23 | 0.070 |
Financial stress b (Referent: no stress) | 1.63 | 0.45, 2.81 | 0.007 |
Dissatisfaction with friend support b (Referent: satisfaction) | −6.41 | −11.66, −1.16 | 0.017 |
Dissatisfaction with industry support b (Referent: satisfaction) | 2.63 | 1.38, 3.87 | <0.001 |
Previous self-reported history of mental illness (Referent: no illness) | 1.39 | 0.47, 2.31 | 0.003 |
Dairy cattle farmer b (Referent: not dairy farmer) | −0.01 | −2.25, 2.22 | 0.992 |
Fair self-rated health b (Referent: excellent) | 3.05 | 1.22, 4.88 | 0.001 |
Alberta (Referent: Ontario) | −1.73 | −3.08, −0.39 | 0.012 |
Cynicism score | 0.60 | 0.55, 0.66 | <0.001 |
Interaction terms: | |||
Age x Gender interaction a | 0.09 | 0.03, 0.15 | 0.005 |
Financial stress x Satisfaction with friend support interaction b | 8.64 | 3.21, 14.08 | 0.002 |
Gender x Satisfaction with industry support interaction | −2.62 | −4.59, −0.65 | 0.009 |
Self-rated health (fair) x Dairy cattle farmer interaction | 3.68 | 0.55, 6.80 | 0.021 |
Cynicism model (n = 876) | |||
Main effects: | |||
Age c | 0.14 | 0.06, 0.23 | 0.001 |
Gender b (Referent: male) | −0.77 | −1.68, 0.14 | 0.095 |
Dairy cattle farmer b (Referent: not dairy farmer) | −1.37 | −2.22, −0.52 | 0.002 |
Married c (Referent: single) | 2.22 | −1.50, 5.95 | 0.241 |
Dissatisfaction with support from industry (Referent: satisfaction) | 1.40 | 0.50, 2.29 | 0.002 |
Exhaustion score | 0.74 | 0.55, 0.94 | <0.001 |
Professional efficacy score | −0.17 | −0.29, −0.06 | 0.002 |
Interaction terms: | |||
Female gender x Dairy farmer interaction | 1.83 | 0.20, 3.46 | 0.027 |
Age x Married interaction | −0.10 | −0.19, −0.01 | 0.034 |
Professional efficacy model d (n = 911) | Odds ratio | 95% CI | p-value |
Age | 0.99 | 0.98, 1.00 | 0.023 |
Gender (Referent: male) | 1.10 | 0.82, 1.48 | 0.538 |
Dissatisfaction with support from spouse/romantic partner (Referent: satisfaction) | 0.54 | 0.31, 0.95 | 0.033 |
Dissatisfaction with support from family (Referent: satisfaction) | 0.51 | 0.32, 0.80 | 0.003 |
Dissatisfaction with support from industry (Referent: satisfaction) | 0.56 | 0.40, 0.79 | 0.001 |
Interaction Term | Contrast | Beta Coefficient | 95% CI | p-Value |
---|---|---|---|---|
A. Exhaustion Model | ||||
Financial stress x Satisfaction with friend support (Referent: no financial stress & satisfied with friend support) | Financial stress & satisfied with friend support | 1.63 | 0.45, 2.81 | 0.007 |
No financial stress & dissatisfied with friend support | −6.41 | −11.66, −1.15 | 0.017 | |
Financial stress & dissatisfied with friend support | 8.64 | 3.21, 14.08 | 0.002 | |
Gender x Satisfaction with industry support (Referent: male gender & satisfied with industry support) | Male gender & dissatisfied with industry support | 2.63 | 1.38, 3.87 | <0.001 |
Female gender & satisfied with industry support | −2.81 | −5.86, 0.23 | 0.070 | |
Female gender & dissatisfied with industry support | −2.61 | −4.59, −0.65 | 0.009 | |
Fair self-rated health x dairy farmer (Referent: excellent self-rated health & non-dairy farmer) | Excellent self-rated health & dairy farmer | −0.01 | −2.25, 2.22 | 0.992 |
Fair self-rated health & non-dairy farmer | 3.05 | 1.22, 4.88 | 0.001 | |
Fair self-rated health & dairy farmer | 3.68 | 0.55, 6.80 | 0.021 | |
B. Cynicism model | ||||
Gender x dairy farmer (Referent: male gender & non-dairy farmer) | Female gender & non-dairy farmer | −0.77 | −1.68, 0.14 | 0.095 |
Male gender & dairy farmer | −1.37 | −2.22, −0.52 | 0.002 | |
Female gender & dairy farmer | 1.83 | 0.20, 3.46 | 0.027 |
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Jones-Bitton, A.; Hagen, B.; Fleming, S.J.; Hoy, S. Farmer Burnout in Canada. Int. J. Environ. Res. Public Health 2019, 16, 5074. https://doi.org/10.3390/ijerph16245074
Jones-Bitton A, Hagen B, Fleming SJ, Hoy S. Farmer Burnout in Canada. International Journal of Environmental Research and Public Health. 2019; 16(24):5074. https://doi.org/10.3390/ijerph16245074
Chicago/Turabian StyleJones-Bitton, Andria, Briana Hagen, Stephen J. Fleming, and Sandra Hoy. 2019. "Farmer Burnout in Canada" International Journal of Environmental Research and Public Health 16, no. 24: 5074. https://doi.org/10.3390/ijerph16245074
APA StyleJones-Bitton, A., Hagen, B., Fleming, S. J., & Hoy, S. (2019). Farmer Burnout in Canada. International Journal of Environmental Research and Public Health, 16(24), 5074. https://doi.org/10.3390/ijerph16245074