Quantitative methodologies to assess sleep, wellbeing and physical health in dairy farm workplaces
C. R. Eastwood
A * , J. P. Edwards A , K. Dale B , B. Kuhn-Sherlock C and L. S. Hall A
A
B
C
Abstract
Farmer workloads can affect their sleep and wellbeing; however, quantitative methodologies for assessing these aspects with farmers have not been well developed or tested.
The aims of this exploratory study were to (1) develop and test methods to assess the impact of spring peak workloads on dairy farmer sleep, wellbeing and physical health, (2) use these methods to assess the impacts of different milking schedules on sleep, wellbeing and physical health factors.
The sleep patterns of nine farmers working on farms with different milking schedules were assessed using Oura™ sensors for 119 days over spring calving in 2020. Variables measured were hours in bed, hours of sleep, sleep efficiency, sleep latency, heart rate, lowest resting heart rate, and heart rate variability. Participant wellbeing of a wider group of farmers was assessed using wellbeing surveys and two short health assessments at the start and end of the milking season.
Results showed that tracking farmer sleep was possible by using the Oura™ sensor. The method was able to highlight differences between participants on different milking schedules during the monitoring period by using principal component analysis. Overall, participants on twice-a-day milking schedule farms got less sleep than did those on 3-in-2 milking schedule farms, and the amount of sleep declined across the study. The use of wellbeing surveys was able to identify some differences between participants. For example, potential issues among participants related to not having enough energy to connect with people outside of work in the spring calving period and feeling that there is not enough time available to complete work tasks. The methodology also showed that short, regular, SMS-based surveys could be used to collect longitudinal wellbeing data.
Quantitative methodologies can be used by researchers to assess sleep and wellbeing factors among farm teams. The approaches tested in this study were able to indicate differences among individuals and farm systems; however, they need further refinement to be scalable across more farms in future studies.
This study has shown the likely impact that peak workload over the calving period can have on dairy farmers.
Keywords: dairy, employee, farmer sleep, fatigue, health assessment, monitoring devices, surveys, wellbeing.
References
Arnardottir ES, Islind AS, Óskarsdóttir M (2021) The future of sleep measurements: a review and perspective. Sleep Medicine Clinics 16, 447-464.
| Crossref | Google Scholar | PubMed |
Batterham PJ, Brown K, Calear AL, Lindenmayer D, Hingee K, Poyser C (2022) The FarmWell study: examining relationships between farm environment, financial status and the mental health and wellbeing of farmers. Psychiatry Research Communications 2, 100036.
| Crossref | Google Scholar |
Bentley T, Green N, Tappin D, Haslam R (2021) State of science: the future of work – ergonomics and human factors contributions to the field. Ergonomics 64, 427-439.
| Crossref | Google Scholar | PubMed |
Brennan M, Hennessy T, Dillon E, Meredith D (2023) Putting social into agricultural sustainability: integrating assessments of quality of life and wellbeing into farm sustainability indicators. Sociologia Ruralis 63, 629-660.
| Crossref | Google Scholar |
Brown K, Schirmer J, Upton P (2021) Regenerative farming and human wellbeing: are subjective wellbeing measures useful indicators for sustainable farming systems? Environmental and Sustainability Indicators 11, 100132.
| Crossref | Google Scholar |
Brumby S, Newell M, Chandrasekaran A, Calvano A, Atcheson M (2014) Health checks in the saleyards – bringing the health professional to the farmer. Journal of Agromedicine 19, 205.
| Crossref | Google Scholar |
Burr H, Berthelsen H, Moncada S, Nübling M, Dupret E, Demiral Y, Oudyk J, Kristensen TS, Llorens C, Navarro A, Lincke H-J, Bocéréan C, Sahan C, Smith P, Pohrt A (2019) The third version of the Copenhagen psychosocial questionnaire. Safety and Health at Work 10, 482-503.
| Crossref | Google Scholar | PubMed |
Buysse DJ, Reynolds CF, III, Monk TH, Berman SR, Kupfer DJ (1989) The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Research 28, 193-213.
| Crossref | Google Scholar | PubMed |
Caldwell JA, Caldwell JL, Thompson LA, Lieberman HR (2019) Fatigue and its management in the workplace. Neuroscience & Biobehavioral Reviews 96, 272-289.
| Crossref | Google Scholar | PubMed |
Choo V (2002) WHO reassesses appropriate body-mass index for Asian populations. The Lancet 360, 235.
| Crossref | Google Scholar |
Coelho J, Lucas G, Micoulaud-Franchi J-A, Philip P, Boyer L, Fond G (2023) Poor sleep is associated with work environment among 10,087 French healthcare workers: results from a nationwide survey. Psychiatry Research 328, 115448.
| Crossref | Google Scholar |
Contzen S, Häberli I (2021) Exploring dairy farmers’ quality of life perceptions – a Swiss case study. Journal of Rural Studies 88, 227-238.
| Crossref | Google Scholar |
Deming J, Kinsella J, O’Brien B, Shalloo L (2019) An examination of the effects of labor efficiency on the profitability of grass-based, seasonal-calving dairy farms. Journal of Dairy Science 102, 8431-8440.
| Crossref | Google Scholar | PubMed |
de Zambotti M, Rosas L, Colrain IM, Baker FC (2019) The sleep of the ring: comparison of the ŌURA sleep tracker against polysomnography. Behavioral Sleep Medicine 17, 124-136.
| Crossref | Google Scholar |
Diabetes Australia (2024) Blood glucose level range. Available at https://www.diabetesaustralia.com.au/managing-diabetes/blood-glucose-range/ [accessed 16 August]
Dosman JA, Hagel L, Skomro R, Sun X, Day AG, Pickett W (2013) Loud snoring is a risk factor for occupational injury in farmers. Canadian Respiratory Journal 20, 469391.
| Crossref | Google Scholar |
Eastwood CR, Greer J, Schmidt D, Muir J, Sargeant K (2020) Identifying current challenges and research priorities to guide the design of more attractive dairy-farm workplaces in New Zealand. Animal Production Science 60, 84-88.
| Crossref | Google Scholar |
Eastwood CR, Edwards JP, Turner JA (2021) Review: anticipating alternative trajectories for responsible Agriculture 4.0 innovation in livestock systems. Animal 15, 100296.
| Crossref | Google Scholar |
Eastwood CR, Edwards JP, Bates V (2024) Science communication and engagement in adaptive farm-systems research: a case study of flexible milking research in New Zealand. Animal Production Science 64, AN22358.
| Crossref | Google Scholar |
Edwards JP, Kuhn-Sherlock B, Dela Rue BT, Eastwood CR (2020) Short communication: technologies and milking practices that reduce hours of work and increase flexibility through milking efficiency in pasture-based dairy farm systems. Journal of Dairy Science 103, 7172-7179.
| Crossref | Google Scholar |
Edwards JP, Qasim M, Bryant RH, Thomas C, Wright-Watson C, Zobel G, Neal MB, Eastwood CR (2024) On-animal sensors may predict paddock level pasture mass in rotationally grazed dairy systems. Computers and Electronics in Agriculture 219, 108779.
| Crossref | Google Scholar |
Elliott KC, Lincoln JM, Flynn MA, Levin JL, Smidt M, Dzugan J, Ramos AK (2022) Working hours, sleep, and fatigue in the agriculture, forestry, and fishing sector: a scoping review. American Journal of Industrial Medicine 65, 898-912.
| Crossref | Google Scholar |
Fabbri M, Beracci A, Martoni M, Meneo D, Tonetti L, Natale V (2021) Measuring subjective sleep quality: a review. International Journal of Environmental Research and Public Health 18, 1082.
| Crossref | Google Scholar |
Hall LS, Edwards JP, Dale K, Westbrooke V, Bryant RH, Kuhn-Sherlock B, Eastwood CR (2024) An exploration into the sleep of workers on block-calving, pasture-based dairy farms. Journal of Dairy Science 107, 9549-9557.
| Crossref | Google Scholar | PubMed |
Hansen BG (2022) Stay in dairy? Exploring the relationship between farmer wellbeing and farm exit intentions. Journal of Rural Studies 92, 306-315.
| Crossref | Google Scholar |
Hansen BG, Bugge CT, Skibrek PK (2020) Automatic milking systems and farmer wellbeing: exploring the effects of automation and digitalization in dairy farming. Journal of Rural Studies 80, 469-480.
| Crossref | Google Scholar |
Heart Research Institute NZ (2024) Understanding what is high cholesterol: signs & symptoms. Available at https://www.hri.org.nz/health/learn/risk-factors/high-cholesterol [accessed 16 August].
Hogan C, Lawton T, Beecher M (2024) The factors contributing to better workplaces for farmers on pasture-based dairy farms. Journal of Dairy Science 107, 8044-8057.
| Crossref | Google Scholar | PubMed |
Jadhav R, Achutan C, Haynatzki G, Rajaram S, Rautiainen R (2016) Review and meta-analysis of emerging risk factors for agricultural injury. Journal of Agromedicine 21, 284-297.
| Crossref | Google Scholar | PubMed |
Kambuta J, Edwards P, Bicknell K (2024) Navigating integration challenges: insights from migrant dairy farm workers in New Zealand. Journal of Rural Studies 112, 103454.
| Crossref | Google Scholar |
Knook J, Eastwood C, Mitchelmore K, Barker A (2023) Wellbeing, environmental sustainability and profitability: including plurality of logics in participatory extension programmes for enhanced farmer resilience. Sociologia Ruralis 63, 141-162.
| Crossref | Google Scholar |
Knook J, Carver D, Gear K, Eastwood C (2024) Assessing rural wellbeing through design of a farmer-focused survey methodology: the importance of cultural health, ease of use and farming specific questions. Journal of Rural Studies 111, 103412.
| Crossref | Google Scholar |
Kolstrup CL (2012) What factors attract and motivate dairy farm employees in their daily work? Work 41, 5311-5316.
| Crossref | Google Scholar | PubMed |
LaBrash LF, Pahwa P, Pickett W, Hagel LM, Snodgrass PR, Dosman JA, for the Saskatchewan Farm Injury Cohort Study Team (2008) Relationship between sleep loss and economic worry among farmers: a survey of 94 active saskatchewan noncorporate farms. Journal of Agromedicine 13, 149-154.
| Crossref | Google Scholar | PubMed |
Lilley R, Day L, Koehncke N, Dosman J, Hagel L, William P, for the Saskatchewan Farm Injury Cohort Study (2012) The relationship between fatigue-related factors and work-related injuries in the Saskatchewan Farm Injury Cohort Study. American Journal of Industrial Medicine 55, 367-375.
| Crossref | Google Scholar |
Malanski PD, Dedieu B, Schiavi S (2021) Mapping the research domains on work in agriculture. A bibliometric review from Scopus database. Journal of Rural Studies 81, 305-314.
| Crossref | Google Scholar |
Marino M, Li Y, Rueschman MN, Winkelman JW, Ellenbogen JM, Solet JM, Dulin H, Berkman LF, Buxton OM (2013) Measuring sleep: accuracy, sensitivity, and specificity of wrist actigraphy compared to polysomnography. Sleep 36, 1747-1755.
| Crossref | Google Scholar |
Medic G, Wille M, Hemels ME (2017) Short- and long-term health consequences of sleep disruption. Nature and Science of Sleep 9, 151-161.
| Crossref | Google Scholar |
Moore SJ, Durst PT, Ritter C, Nobrega D, Barkema HW (2020) Effects of employer management on employee recruitment, satisfaction, engagement, and retention on large US dairy farms. Journal of Dairy Science 103, 8482-8493.
| Crossref | Google Scholar | PubMed |
Nelson ME, Lee S, Allen TD, Buxton OM, Almeida DM, Andel R (2023) Goldilocks at work: just the right amount of job demands may be needed for your sleep health. Sleep Health 9, 40-48.
| Crossref | Google Scholar | PubMed |
Nye C, Wheeler R, Rose D, Becot F, Holton M, Hočevar DK, Knook J, Kyle S, Partalidou M, Riley M, Steiner A, Whitley H (2025) Mental health, well-being and resilience in agricultural areas: a research agenda for the Global North. Journal of Rural Studies 114, 103506.
| Crossref | Google Scholar |
O’Connor S, O’Hagan AD, Malone SM, O’Shaughnessy BR, McNamara J, Firnhaber J (2024) Sleep issues and burnout in Irish farmers: a cross sectional survey. Safety Science 171, 106377.
| Crossref | Google Scholar |
Oh J-H, Yoo JR, Ko SY, Kang JH, Lee SK, Jeong W, Seong GM, Lee HJ, Song SW (2021) Relationship between sleep duration and suicidal ideation among farmers: safety for agricultural injuries of farmers cohort study of Jeju, Korea. Safety and Health at Work 12, 102-107.
| Crossref | Google Scholar |
Penzel T, Glos M, Fietze I (2021) New trends and new technologies in sleep medicine: expanding accessibility. Sleep Medicine Clinics 16, 475-483.
| Crossref | Google Scholar | PubMed |
Petit P, Gandon G, Dubuc M, Vuillerme N, Bonneterre V (2023) Agricultural activities and risk of treatment for depressive disorders among the entire French agricultural workforce: the TRACTOR project, a nationwide retrospective cohort study. The Lancet Regional Health - Europe 31, 100674.
| Crossref | Google Scholar |
Rose DC, Budge H, Carolan M, Hall J, Hammersley C, Knook J, Lobley M, Nye C, O’Reilly A, Shortland F, Wheeler R (2023) Farming wellbeing through and beyond COVID-19: stressors, gender differences and landscapes of support. Sociologia Ruralis 63, 3-10.
| Crossref | Google Scholar |
Sandberg JC, Nguyen HT, Quandt SA, Chen H, Summers P, Walker FO, Arcury TA (2016) Sleep quality among latino farmworkers in North Carolina: examination of the job control–demand–support model. Journal of Immigrant and Minority Health 18, 532-541.
| Crossref | Google Scholar | PubMed |
Schaufeli WB, Bakker AB, Salanova M (2006) The measurement of work engagement with a short questionnaire: a cross-national study. Educational and Psychological Measurement 66, 701-716.
| Crossref | Google Scholar |
Sedlacek D, Beacom M, Bista SR, Rautiainen R, Siu K-C (2021) Comparing objective and subjective measures of sleep loss with balance performance in farmers. Journal of Agricultural Safety and Health 27, 69-76.
| Crossref | Google Scholar | PubMed |
Siu K-C, Huang C-K, Beacom M, Bista S, Rautiainen R (2015) The association of sleep loss and balance stability in farmers. Journal of Agromedicine 20, 327-331.
| Crossref | Google Scholar | PubMed |
Spengler SE, Browning SR, Reed DB (2004) Sleep deprivation and injuries in part-time Kentucky farmers: impact of self reported sleep habits and sleep problems on injury risk. AAOHN Journal 52, 373-382.
| Crossref | Google Scholar | PubMed |
Steen NA, Krokstad S, Torske MO (2023) A cross-sectional study of farmer health and wellbeing in Norway: the HUNT study (2017-2019). Journal of Agromedicine 28, 809-820.
| Crossref | Google Scholar | PubMed |
Stein PK, Pu Y (2012) Heart rate variability, sleep and sleep disorders. Sleep Medicine Reviews 16, 47-66.
| Crossref | Google Scholar | PubMed |
Summers J-L, Peachey K-L, Lower T (2023) A narrative review of fatigue in agriculture and its impact on injury and fatality in Australia. Journal of Agromedicine 28, 621-639.
| Crossref | Google Scholar | PubMed |
Svensson T, Madhawa K, Nt H, Chung U-I, Svensson AK (2024) Validity and reliability of the Oura Ring Generation 3 (Gen3) with Oura sleep staging algorithm 2.0 (OSSA 2.0) when compared to multi-night ambulatory polysomnography: a validation study of 96 participants and 421,045 epochs. Sleep Medicine 115, 251-263.
| Crossref | Google Scholar | PubMed |
van Doorn D, Richardson N, Meredith D, Blake C, McNamara J (2022) Study protocol: evaluation of the ‘real-world’ farmers have hearts – cardiovascular health program. Preventive Medicine Reports 30, 102010.
| Crossref | Google Scholar |
Vu VQ, Friendly M (2024) ggbiplot: a grammar of graphics implementation of biplots. R package version 0.6.2. Available at https://CRAN.R-project.org/package=ggbiplot/
Williamson AM, Feyer A-M (2000) Moderate sleep deprivation produces impairments in cognitive and motor performance equivalent to legally prescribed levels of alcohol intoxication. Occupational and Environmental Medicine 57, 649-655.
| Crossref | Google Scholar | PubMed |
Willoughby AR, Golkashani HA, Ghorbani S, Wong KF, Chee NIYN, Ong JL, Chee MWL (2024) Performance of wearable sleep trackers during nocturnal sleep and periods of simulated real-world smartphone use. Sleep Health 10, 356-368.
| Crossref | Google Scholar | PubMed |
Zhu H, Han Y, Sun Y, Xie Z, Qian X, Stallones L, Xiang H, Wang L (2014) Sleep-related factors and work-related injuries among farmers in Heilongjiang Province, People’s Republic of China. International Journal of Environmental Research and Public Health 11, 9446-9459.
| Crossref | Google Scholar |
