Skip to main navigation menu Skip to main content Skip to site footer

One Welfare for all: Associations between sheep welfare indicators and producers’ mental health

Un Bienestar para todos: Asociaciones entre indicadores de bienestar ovino y la salud mental de productores



How to Cite
Medrano-Galarza, C., Ahumada-Beltrán, D. G. ., Zúñiga-López, A. ., Cubides-Cardenas, J. A. ., Rojas-Morales, D. M. ., Albarracín-Arias, L. O. ., Gómez-Mesa , J. E. ., Rodríguez-Rodas, C. M. ., Rojas-Barreto, A. ., Cerinza-Murcia, O. J. ., & García-Castro, F. . (2023). One Welfare for all: Associations between sheep welfare indicators and producers’ mental health. Journal MVZ Cordoba, 28(2), e2892. https://doi.org/10.21897/rmvz.2892

Dimensions
PlumX
Catalina Medrano-Galarza
Diego G. Ahumada-Beltrán
Aldemar Zúñiga-López
Jaime A. Cubides-Cardenas
Diana M.K. Rojas-Morales
Luis O. Albarracín-Arias
Julio Enrique Gómez-Mesa
Claudia M. Rodríguez-Rodas
Adonai Rojas-Barreto
Oscar J. Cerinza-Murcia
Fredy García-Castro

Catalina Medrano-Galarza,

Fundación Universitaria Agraria de Colombia - Uniagraria, Bogotá DC, Colombia.


Diego G. Ahumada-Beltrán,

Corporación Colombiana de Investigación Agropecuaria – Agrosavia, Centro de Investigación Tibaitatá, Cundinamarca, Colombia.


Aldemar Zúñiga-López,

Corporación Colombiana de Investigación Agropecuaria – Agrosavia, Centro de Investigación Tibaitatá, Cundinamarca, Colombia.


Jaime A. Cubides-Cardenas,

Corporación Colombiana de Investigación Agropecuaria – Agrosavia, Centro de Investigación Tibaitatá, Cundinamarca, Colombia.


Diana M.K. Rojas-Morales,

Corporación Colombiana de Investigación Agropecuaria – Agrosavia, Centro de Investigación Tibaitatá, Cundinamarca, Colombia.


Luis O. Albarracín-Arias,

Corporación Colombiana de Investigación Agropecuaria – Agrosavia, Centro de Investigación Tibaitatá, Cundinamarca, Colombia.


Julio Enrique Gómez-Mesa ,

Corporación Colombiana de Investigación Agropecuaria – Agrosavia, Centro de Investigación Nataima, Tolima, Colombia.


Claudia M. Rodríguez-Rodas,

Corporación Colombiana de Investigación Agropecuaria – Agrosavia, Centro de Investigación Nataima, Tolima, Colombia.


Adonai Rojas-Barreto,

Corporación Colombiana de Investigación Agropecuaria – Agrosavia, Centro de Investigación La Libertad, Meta, Colombia.


Oscar J. Cerinza-Murcia,

Corporación Colombiana de Investigación Agropecuaria – Agrosavia, Finca Experimental Taluma, Meta, Colombia.


Fredy García-Castro,

Corporación Colombiana de Investigación Agropecuaria – Agrosavia, Centro de Investigación Tibaitatá, Cundinamarca, Colombia.


Objective. The objective of this observational cross-sectional study was to investigate associations between farmers’ mental health scores for stress, anxiety, depression, and resilience, and sheep welfare outcomes. Materials and methods. Twenty-two sheep farms in the departments of Boyacá, Cundinamarca, Tolima, and Meta, Colombia, were visited once. Clinical health, cleanliness, and calmness of randomly selected sheep per farm were scored to identify the number of animals with different welfare problems such as lameness, hoof overgrowth, and mastitis. A face-to-face interview with the farmer was done to gather demographic information (farm size and year of establishment, gender, age, role at the farm, and education) and to complete validated psychometric scales to assess resilience, stress, anxiety, and depression. Linear regression models were used to evaluate associations between farmers’ mental health scores, demographic aspects, and within-flock prevalence of sheep welfare indicators. Results. A total of 427 sheep were evaluated across farms. The most prevalent welfare problems identified were hoof overgrowth (40.9%) and dirty fleece (32.9%), while the least prevalent were clinical mastitis (1.3%) and respiratory issues (1.2%). Farmers’ stress level was positively associated with the prevalence of clinically lame sheep and farm size. Anxiety was positively associated with the prevalence of sheep with dirty fleece, clinical lameness, and with being a female farmer. Depression was positively associated with the prevalence of hoof overgrowth. Conclusions. Findings showed that higher levels of stress, anxiety, and depression among farmers were associated with the presence of animal welfare problems, larger farms, and gender.


Article visits 486 | PDF visits


Downloads

Download data is not yet available.
  1. Hemsworth PH. Human-animal interactions in agriculture and their impact on animal welfare and performance. BSAP Occasional Publication. 1997; 20:27-34. https://doi.org/10.1017/S0263967X00043342
  2. Rault JL, Waiblinger S, Boivin X, Hemsworth P. The Power of a Positive Human–Animal Relationship for Animal Welfare. Front Vet Sci. 2020; 7:590867. https://doi.org/10.3389/fvets.2020.590867
  3. Mellor DJ, Beausoleil NJ, Littlewood KE, McLean AN, McGreevy PD, Jones B, Wilkins C. The 2020 Five Domains Model: Including Human–Animal Interactions in Assessments of Animal Welfare. Animals. 2020; 10(10): 1870. https://doi.org/10.3390/ani10101870
  4. Mota-Rojas D, Broom DM, Orihuela A, Velarde A, Napolitano Fabio, Alonso-Spilsbury M. Effects of human-animal relationship on animal productivity and welfare. J Anim Behav Biometeorol. 2020; 8(3):196-205. http://dx.doi.org/10.31893/jabb.20026
  5. Boivin X, Nowak R, Desprès G, Tournadre H, Le Neindre P. Discrimination between shepherds by lambs reared under artificial conditions. J Anim Sci. 1997; 75(11):2892-2898. https://doi.org/10.2527/1997.75112892x
  6. Farm Animal Welfare Committee. Opinion on the links between the health and wellbeing of farmers and farm animal welfare. 2016 https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/593474/opinion-on-farmer-wellbeing_final_2016.pdf
  7. Muri K, Tufte PA, Coleman G, Oppermann Moe R. Exploring Work-Related Characteristics as Predictors of Norwegian Sheep Farmers’ Affective Job Satisfaction. Sociol Rural. 2020; 60(3):576-595. https://doi.org/10.1111/soru.12299
  8. Kelly PC, More SJ, Blake M, Hanlon AJ. Identification of key performance indicators for on-farm animal welfare incidents: possible tools for early warning and prevention. Ir Vet J. 2011; 64(13):1-9. https://doi.org/10.1186/2046-0481-64-13
  9. Andrade SB, Anneberg I. Farmers Under Pressure. Analysis of the Social Conditions of Cases of Animal Neglect. J Agric Environ Ethics. 2014; 27:103–126. https://doi.org/10.1007/s10806-013-9456-9
  10. Devitt C, Kelly P, Blake M, Hanlon A, More SJ. An Investigation into the Human Element of On-farm Animal Welfare Incidents in Ireland. Sociol Rural. 2014; 55:400-416. https://doi.org/10.1111/SORU.12069
  11. King MTM, Matson RD, DeVries TJ. Connecting farmer mental health with cow health and welfare on dairy farms using robotic milking systems. Anim Welfare. 2021; 30:25-38. https://doi.org/10.7120/09627286.30.1.025
  12. Pinillos RG, Appleby MC, Manteca X, Scott-Park F, Smith C, Velarde A. One Welfare - a platform for improving human and animal welfare. Vet Rec. 2016; 179(16):412-413. https://doi.org/10.1136/vr.i5470
  13. Jones-Bitton A, Best C, MacTavish J, Fleming S, Hoy S. Stress, anxiety, depression, and resilience in Canadian farmers. Soc Psychiatry Psychiatr Epidemiol. 2020; 55:229–236. https://doi.org/10.1007/s00127-019-01738-2
  14. Hernandez RO, Sánchez JA, Romero MH. Iceberg Indicators for Animal Welfare in Rural Sheep Farms Using the Five Domains Model Approach. Animals. 2020; 10(12):2273. https://doi.org/10.3390/ani10122273
  15. Thrusfield M, Ortega C, de Blas I, Noordhuizen JP, Frankena K. WIN EPISCOPE 2.0: improved epidemiological software for veterinary medicine. Vet Rec. 2001; 148(18):567-72. https://doi.org/10.1136/vr.148.18.567. PMID: 11370882.
  16. M’Hamdi N, Darej C, Attia K, Guesmi H, Znaïdi IEA, Bouraoui R et al. Assessment of Meat-Type Sheep Welfare Using Animal-Based Measures. Animals. 2021;11,2120 https://doi.org/10.3390/ani11072120
  17. Dohoo I, Martin Q, Stryhn, H. Veterinary epidemiologic research. 2nd ed. VER Inc.; 2009.
  18. Animal Welfare Indicators. AWIN welfare assessment protocol for sheep. 2015. https://doi.org/10.13130/AWIN_SHEEP_2015
  19. Pickering NK, Blair HT, Hickson RE, Dodds KG, Johnson PL, McEwan JC. Genetic relationships between dagginess, breech bareness, and wool traits in New Zealand dual-purpose sheep. J Anim Sci. 2013; 91(10):4578–4588 https://doi.org/10.2527/jas.2013-6741
  20. Şahin Ö, Aytekin İ, Boztepe S, Keskin İ, Karabacak A, Altay Y et al. Relationships between FAMACHA© scores and parasite incidence in sheep and goats. Tropical Animal Health and Production. 2021; 53(2):331. https://doi.org/10.1007/s11250-021-02769-1
  21. Lee EH. Review of the psychometric evidence of the perceived stress scale. Asian Nurs Res (Korean Soc Nurs Sci). 2012; 6(4):121-127. https://doi/org/10.1016/j.anr.2012.08.004
  22. Cohen S, Kamarck T, Mermelstein R. A Global Measure of Perceived Stress. J Health and Social Behav. 1983; 24(4):385-396. https://doi.org/10.2307/2136404
  23. Hinz A, Finck C, Gómez Y, Daig I, Glaesmer H, Singer S. Anxiety and depression in the general population in Colombia: reference values of the Hospital Anxiety and Depression Scale (HADS). Soc Psychiatry Psychiatr Epidemiol. 2014; 49(1):41-49. https://doi.org/10.1007/s00127-013-0714-y
  24. Campbell-Sills L, Stein MB. Psychometric Analysis and Refinement of the Connor–Davidson Resilience Scale (CD-RISC): Validation of a 10-Item Measure of Resilience. J Trauma Stress. 2007; 20(6):1019-1028. https://doi.org/10.1002/jts.20271
  25. Statistical Analysis Systems Institute. The SAS Studio – OnDemand for Academics (Release 3.8 Enterprise Edition). SAS Institute Inc. 2021
  26. Pearl DL, Louie M, Chui L, Doré K, Grimsrud KM, Martin SW et al. Epidemiological characteristics of reported sporadic and outbreak cases of E. coli O157 in people from Alberta, Canada (2000-2002): methodological challenges of comparing clustered to unclustered data. Epidemiol Infect. 2008;136(4):483-91. https://doi.org/10.1017/S0950268807008904
  27. Biswas B, Saha R, Haldar D, Saha I. Level of stress perception and predictors of higher stress perception among informal primary caregivers of Eastern Indian people living with HIV/AIDS. Int J Community Med Public Health. 2019; 6(10):4374-4380. http://dx.doi.org/10.18203/2394-6040.ijcmph20194497.
  28. Minsalud. Encuesta Nacional de Salud Mental. Tomo I. Colciencias: Colombia; 2015. https://www.minjusticia.gov.co/programas-co/ODC/Publicaciones/Publicaciones/CO031102015-salud_mental_tomoI.pdf
  29. Kallioniemi MK, Simola A, Kaseva J, Kymäläinen HR. Stress and Burnout Among Finnish Dairy Farmers. J Agromedicine. 2016; 21(3):259-268. https://doi.org/10.1080/1059924X.2016.11786112016
  30. Brew B, Inder K, Allen J, Thomas M, Kelly B. The health and wellbeing of Australian farmers: a longitudinal cohort study. BMC Public Health. 2016; 16(988):1-11. https://doi.org/10.1186/s12889-016-3664-y
  31. Parry J, Barnes H, Lindsey R, Taylor R. Farmers, farm workers and work-related stress. Research report 362. Health & Safety Executive. Policy Studies Institute; 2005. https://www.hse.gov.uk/research/rrpdf/rr362.pdf
  32. Truchot D, Andela M. Burnout and hopelessness among farmers: The Farmers Stressors Inventory. Soc Psychiatry Psychiatr Epidemiol. 2018; 53:859–867. https://doi.org/10.1007/s00127-018-1528-8
  33. Sato M, Kato H, Noguchi M, Ono H, Kobayashi K. Gender Differences in Depressive Symptoms and Work Environment Factors among Dairy Farmers in Japan. Int. J. Environ. Res. Public Health. 2020; 17:2569. https://doi.org/10.3390/ijerph17072569
  34. Alonso Ospina N, Chávez KL. Nota estadística. Salud mental en Colombia: Un análisis de los efectos de la pandemia. Departamento Administrativo Nacional de Estadística – DANE. 2021. https://ascofapsi.org.co/pdf/Noticias/Estad%C3%ADstica%20de%20Salud%20mental%20en%20Colombia-%20pandemia%202021%20.pdf

Sistema OJS 3.4.0.3 - Metabiblioteca |