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Research Article

Workability and productivity among CTL machine operators – associations with sleep, fitness, and shift work

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 426-438 | Received 12 Jan 2023, Accepted 15 May 2023, Published online: 27 May 2023

References

  • Aalmo GO, Magagnotti N, Spinelli R. Forest workers and steep terrain winching: the impact of environmental and anthropometric parameters on performance. Croat J For Eng. 2016;37(1):97.
  • Ahola S, Eskelinen J, Heikkilä-Tammi K, Kuula M, Larjovuori R-L, Nuutinen S. 2018. Digisti työn imuun? - Tutkimus työhyvinvoinnin ja tuottavuuden yhteydestä finanssialan palveluyrityksessä; Digital path to work engagement? Study of the linkage between employee well-being and productivity in a financial service company. Aalto University; Aalto-yliopisto. urn: http://urn.fi/URN:ISBN:978-952-60-8262-2.
  • Apǎfǎian AI, Proto AR, Borz SA. 2017. Performance of a mid-sized harvester-forwarder system in integrated harvesting of sawmill, pulpwood and firewood. Ann For Res. 60(2):227–241. doi:10.15287/afr.2017.909.
  • Arlinger J, Möller JJ, Sorsa J. 2010. StanForD 2010 –. Uppsala, Sweden: Skogforsk. pp. 1–16.
  • Arvidson E, Börjesson M, Ahlborg G, Lindegard A, Jonsdottir IH. 2013. The level of leisure time physical activity is associated with work ability-a cross sectional and prospective study of health care workers. BMC Public Health. 13(855): https://gup.ub.gu.se/publication/185448
  • Asikainen A, Leskinen LA, Pasanen K, Väätäinen K, Anttila P, Tahvanainen T. 2009. Metsäkonesektorin nykytila ja tulevaisuus. Vantaa: Working papers of the Finnish Forest Research Institute. 125. http://www.metla.fi/julkaisut/workingpapers/
  • Bartrim K, McCarthy B, McCartney D, Grant G, Desbrow B, Irwin C. 2020. Three consecutive nights of sleep loss: effects of morning caffeine consumption on subjective sleepiness/alertness, reaction time and simulated driving performance. Transp Res Part F Traffic Psychol Behav. 70:124–134. doi:10.1016/j.trf.2020.02.017.
  • Bergman E, Löyttyniemi E, Myllyntausta S, Rautava P, Korhonen PE. 2020. Factors associated with quality of life and work ability among Finnish municipal employees: a cross-sectional study. BMJ Open. 10(9):e035544. doi:10.1136/bmjopen-2019-035544.
  • Bernaards CM, Proper KI, Hildebrandt VH. 2007. Physical activity, cardiorespiratory fitness, and body mass index in relationship to work productivity and sickness absence in computer workers with preexisting neck and upper limb symptoms. J Occup Environ Med. 49(6):633–640. doi:10.1097/JOM.0b013e318058202c.
  • Borz SA, Talagai N, Cheţa M, Chiriloiu D, Gavilanes Montoya AV, Castillo Vizuete DD, Marcu MV. 2019. Physical strain, exposure to noise and postural assessment in motor-manual felling of willow short rotation coppice. Croat J For Eng. 40(2):377–388. https://hrcak.srce.hr/228256
  • Bowen J, Hinze A, Cunningham SJ, Parker R. 2015. Evaluating low-cost activity trackers for use in large-scale data gathering of forestry workers. OzChi 2015 Being Hum - Conf Proc. 474–482. doi:10.1145/2838739.2838741.
  • Bowen J, Hinze A, Griffiths C. 2019. Investigating real-time monitoring of fatigue indicators of New Zealand forestry workers. Accid Anal Prev. 126(August 2017):122–141. doi:10.1016/j.aap.2017.12.010.
  • Burdorf A, Frings-Dresen MHW, van DC, Elders LAM. 2005. Development of a decision model to identify workers at risk of long-term disability in the construction industry. Scand J Work Environ Health. 31(2):31–36. https://www.airitilibrary.com/Publication/alDetailedMesh?DocID=03553140-200512-201011100061-201011100061-31-36
  • Burton WN, McCalister KT, Chen CY, Edington DW. 2005. The association of health status, worksite fitness center participation, and two measures of productivity. J Occup Environ Med. 47(4):343–351. doi:10.1097/01.jom.0000158719.57957.c6.
  • Camerino D, Conway PM, Sartori S, Campanini P, Estryn-Béhar M, van der Heijden BIJM, Costa G. 2008. Factors affecting work ability in day and shift-working nurses. Chronobiol Int. 25(2–3):425–442. http://www.tandfonline.com/doi/abs/10.1080/07420520802118236
  • Cooper KD, Shafer AB. 2019. Validity and reliability of the polar A300’s fitness test feature to predict VO2max. Int J Exerc Sci. 12(4):393–401. https://www.ncbi.nlm.nih.gov/pubmed/30899351
  • Declercq I, Van Den Eede F, Roelant E, Verbraecken J. 2022. SHIFTPLAN: a randomized controlled trial investigating the effects of a multimodal shift-work intervention on drivers’ fatigue, sleep, health, and performance parameters. Trials. 23(1):1–18. doi:10.1186/s13063-022-06573-6.
  • Depner CM, Cheng PC, Devine JK, Khosla S, de Zambotti M, Robillard R, Vakulin A, Drummond SPA. 2019. Wearable technologies for developing sleep and circadian biomarkers: a summary of workshop discussionsSleep (New York, NY)432. https://search.datacite.org/works/10.1093/sleep/zsz254
  • Drake CL, Roehrs T, Richardson G, Walsh JK, Roth T. 2004. Shift work sleep disorder: prevalence and consequences beyond that of symptomatic day workers. Sleep. 27(8):1453–1462. doi:10.1093/sleep/27.8.1453.
  • Eldevik MF, Flo E, Moen BE, Pallesen S, Bjorvatn B, Gamble KL. 2013. Insomnia, excessive sleepiness, excessive fatigue, anxiety, depression and shift work disorder in nurses having less than 11 hours in-between shifts. PLos One. 8(8):e70882. doi:10.1371/journal.pone.0070882.
  • Eriksson M, Lindroos O. 2014. Productivity of harvesters and forwarders in CTL operations in northern Sweden based on large follow-up datasets. Int J For Eng. 25(3):179–200. https://search.datacite.org/works/10.1080/14942119.2014.974309
  • Esco MR, Mugu EM, Williford HN, McHugh NA, Bloomquist EB. Cross-validation of the polar fitness test via the polar F11 heart rate monitor in predicting VO2Max. J Ecercise Physiol. 2011;14(5):31–37.
  • Gellerstedt S. 2013. Operation of the single-grip harvester: motor-sensory and cognitive work. Int J For Eng. 13(2):35–47.
  • Gibson M, Shrader J. 2018. Time use and labor productivity: the returns to sleep. Rev Econ Stat. 100(5):783–798. doi:10.1162/rest_a_00746.
  • Gingerich SB, Seaverson ELD, Anderson DR. 2018. Association between sleep and productivity loss among 598 676 employees from multiple industries. Am J Heal Promot. 32(4):1091–1094.
  • Grzywiński W, Jelonek T, Tomczak A, Jakubowski M, Bembenek M. 2017. Does body posture during tree felling influence the physiological load of a chainsaw operator? Ann Agric Environ Med. 24(3):401–405. https://www.ncbi.nlm.nih.gov/pubmed/28954479
  • Häggström C, Englund M, Lindroos O. 2015. Examining the gaze behaviors of harvester operators: an eye-tracking study. Int J For Eng. 26(2):96–113. doi:10.1080/14942119.2015.1075793.
  • Häggström C, Lindroos O. 2016. Human, technology, organization and environment – a human factors perspective on performance in forest harvesting. Int J For Eng. 27(2):1–12. doi:10.1080/14942119.2016.117049510.1080/14942119.2016.1170495.
  • Hamermesh DS, Myers CK, Pocock ML. 2008. Cues for timing and coordination: latitude, letterman, and longitude. J Labor Econ. 26(2):223–246. doi:10.1086/525027.
  • Henriksen A, Haugen Mikalsen M, Woldaregay AZ, Muzny M, Hartvigsen G, Hopstock LA, Grimsgaard S. 2018. Using fitness trackers and smartwatches to measure physical activity in research: analysis of consumer wrist-worn wearables. J Med Internet Res. 20(3):e110. https://search.datacite.org/works/10.2196/jmir.9157
  • Hernando D, Roca S, Sancho J, Á A, Bailón R. 2018. Validation of the apple watch for heart rate variability measurements during relax and mental stress in healthy subjects. Sensors (Basel). 18(8):2619. https://search.datacite.org/works/10.3390/s18082619
  • Hinze A, Bowen J, König JL. 2022. Wearable technology for hazardous remote environments: smart shirt and Rugged IoT network for forestry worker health. Smart Heal. 23(July 2021):100225. doi:10.1016/j.smhl.2021.10022510.1016/j.smhl.2021.100225.
  • Hubert M, Dumont M, Paquet J. 1998. Seasonal and diurnal patterns of human illumination under natural conditions. Chronobiol Int. 15(1):59–70. doi:10.3109/07420529808998670.
  • Ilmarinen J, Joyner KH, Fleming AH. 1991. Implanted medical devices in workers exposed to radio-frequency radiation. Scand J Work Environ Health. 17(1):1–141. doi:10.5271/sjweh.1740.
  • Ilmarinen J. 2009. Work ability-a comprehensive concept for occupational health research and prevention. Scand J Work Environ Health. 35(1):1–5. https://www.airitilibrary.com/Publication/alDetailedMesh?DocID=03553140-200901-201011040123-201011040123-1-5
  • Ilmarinen J, Lehtinen S. 2004. Past, present and future of work ability: proceedings of the 1st international symposium on work ability: 5-6 september 2001 Tampere, Finland. Ilmarinen J, Lehtinen S, editors. Helsinki: Finnish Institute of Occupational Health (People and work, Research reports, 65).
  • Jagnani M. 2022. Children‘s Sleep and Human Capital Production The Review of Economics and Statistics. doi:10.1162/rest_a_01201.
  • Jiroušek R, Klvač R, Skoupý A. 2008. Productivity and costs of the mechanised cut-to-length wood harvesting system in clear-felling operations. J For Sci. 53(No. 10):476–482.
  • Katz AS, Pronk NP, Lowry M. 2014. The association between optimal lifestyle-related health behaviors and employee productivity. J Occup Environ Med. 56(7):708–713. doi:10.1097/JOM.0000000000000191.
  • Kemmerer J, Labelle ER. 2021. Using harvester data from on-board computers: a review of key findings, opportunities and challenges. Eur J For Res. 140(1):1–17. doi:10.1007/s10342-020-01313-410.1007/s10342-020-01313-4.
  • Kettunen O. 2015. Effects of physical acitivity and fitness on the psychological wellbeing of young men and working adults: associations with stress, mental resources, overweight and workability. University of Turku.
  • Kitamura S, Katayose Y, Nakazaki K, Motomura Y, Oba K, Katsunuma R, Terasawa Y, Enomoto M, Moriguchi Y, Hida A, et al. 2016. Estimating individual optimal sleep duration and potential sleep debt. null. 6(1):1–10. doi:10.1038/srep35812.
  • Korge J, Nunan D. 2018. Higher participation in physical activity is associated with less use of inpatient mental health services: a cross-sectional study. Psychiatry Res. 259(August 2017):550–553.
  • Kumar S, McCalla M, Lybeck E. 2009. Operational impact of employee wellness programs: a business case study. Int J Product Perform Manag. 58(6):581–597. doi:10.1108/17410400910977109.
  • Kuoppala J, Lamminpää A, Husman P. 2008. Work health promotion, job well-being, and sickness absences—a systematic review and meta-analysis. J Occup Environ Med. 50(11):1216–1227. https://search.datacite.org/works/10.1097/jom.0b013e31818dbf92
  • Kymäläinen H, Laitila J, Väätäinen K, Malinen J. 2021. Workability and well-being at work among cut-to-length forest machine operators. Croat J For Eng. 42(3):405–417. doi:10.5552/crojfe.2021.874.
  • Larrichia F. 2022. Wearables - statistics & facts. Statista. https://www.statista.com/topics/1556/wearable-tech.https://www.statista.com/topics/1556/wearable-technology/#dossierKeyfigures.
  • Lee J-M, Kim Y, Welk GJ. 2014. Validity of consumer-based physical activity monitors. Vol. 46. doi:10.1249/MSS.0000000000000287.
  • Leszczyński K, Stańczykiewicz A. 2015. Workload analysis in logging technology employing a processor aggregated with a farm tractor. For Syst. 24(2):e024. https://explore.openaire.eu/search/publication?articleId=dedup_wf_001:ce89465895e64754d30359624db6f784
  • Lian Y, Xiao J, Liu Y, Ning L, Guan S, Ge H, Li F, Liu J. 2014. Associations between insomnia, sleep duration and poor work ability. J Psychosom Res. 78(1):45–51. https://www.clinicalkey.es/playcontent/1-s2.0-S0022399914003365
  • Liski E, Jounela P, Korpunen H, Sosa A, Lindroos O, Jylhä P. 2020. Modeling the productivity of mechanized CTL harvesting with statistical machine learning methods. Int J For Eng. 31(3):253–262.
  • Lundin A, Lundin A, Kjellberg K, Kjellberg K, Leijon O, Leijon O, Punnett L, Punnett L, Hemmingsson T, Hemmingsson T. 2016. The association between self-assessed future work ability and long-term sickness absence, disability pension and unemployment in a general working population: a 7-year follow-up study. J Occup Rehabil. 26(2):195–203. https://www.ncbi.nlm.nih.gov/pubmed/26319413
  • Malinen J, Taskinen J, Tolppa T. 2018. Productivity of cut-to-length harvesting by operators’ age and experience. Šumarski fakultet Sveučilišta u Zagrebu. https://hrcak.srce.hr/193546
  • Maturo A, Setiffi F. 2016. The gamification of risk: how health apps foster self-confidence and why this is not enough. Health Risk Soc. 17(7–8):477–494. https://search.datacite.org/works/10.1080/13698575.2015.1136599
  • Miller KR, McClave SA, Jampolis MB, Hurt RT, Krueger K, Landes S, Collier B. 2016. The health benefits of exercise and physical activity. Curr Nutr Rep. 5(3):204–212. doi:10.1007/s13668-016-0175-5.
  • Mills PR, Kessler RC, Cooper J, Sullivan S. 2007. Impact of a health promotion program on employee health risks and work productivity. Am J Heal Promot. 22(1):45–53. doi:10.4278/0890-1171-22.1.45.
  • Molina-Garcia P, Notbohm HL, Schumann M, Argent R, Hetherington-Rauth M, Stang J, Bloch W, Cheng S, Ekelund U, Sardinha LB, et al. 2022. Validity of estimating the maximal oxygen consumption by consumer wearables: a systematic review with meta-analysis and expert statement of the INTERLIVE network. null. 52(7):1577–1597. doi:10.1007/s40279-021-01639-y10.1007/s40279-021-01639-y.
  • Murphy G, Marshall H, Dick A. 2014. Time of day impacts on machine productivity and value recovery in an off-forest central processing yard. New Zeal J For Sci. 44(1):1–19. https://search.datacite.org/works/10.1186/s40490-014-0019-2
  • Nicholls A, Bren L, Humphreys N. 2004. Harvester productivity and operator fatigue: working extended hours. Int J For Eng. 15(2):57–65.
  • Oellingrath IM, De Bortoli MM, Svendsen MV, Fell AKM. 2019. Lifestyle and work ability in a general working population in Norway: a cross-sectional study. BMJ Open. 9(4):e026215. doi:10.1136/bmjopen-2018-026215.
  • Olivera A, Visser R, Acuna M, Morgenroth J. 2016. Automatic GNSS-enabled harvester data collection as a tool to evaluate factors affecting harvester productivity in a Eucalyptus spp. harvesting operation in Uruguay. Int J For Eng. 27(1):15–28. http://www.tandfonline.com/doi/abs/10.1080/14942119.2015.1099775
  • Ottaviani Aalmo G, Kerstens PJ, Belbo H, Bogetoft P, Talbot B, Strange N. 2020. Efficiency drivers in harvesting operations in mixed Boreal stands: a Norwegian case study. Int J For Eng Ahead-Of-Print(ahead-Of-Print). 1–13.
  • Ovaskainen H, Uusitalo J, Väätäinen K. 2004. Characteristics and significance of a harvester operators’ working technique in thinnings. Int J For Eng. 15(2):67–77.
  • Pasicott P, Murphy G. 2013. Effect of work schedule design on productivity of mechanised harvesting operations in Chile. New Zeal J For Sci. 43(1):1–10. https://natlib-primo.hosted.exlibrisgroup.com/primo-explore/search?query=any,contains,997751693602837&tab=innz&search_scope=INNZ&vid=NLNZ&offset=0
  • Purfürst FT. 2010. Learning curves of harvester operators. Šumarski fakultet Sveučilišta u Zagrebu. https://hrcak.srce.hr/63720.
  • Purfürst T, Erler J. 2011. The human influence on productivity in harvester operations. Int J For Eng. 22(2):15–22. https://www.tandfonline.com/doi/citedby/10.1080/14942119.2011.10702606
  • Rautio M, Michelsen T. 2013. WAI: how to use the work ability index questionnaire. 2nd ed. Helsinki, Finland: TTL (Finnish Institute of Occupational Health).
  • Roenneberg T, Kumar CJ, Merrow M. 2007. The human circadian clock entrains to sun time. Curr Biol. 17(2):R44–45. doi:10.1016/j.cub.2006.12.011.
  • Rosekind MR, Gregory KB, Mallis MM, Brandt SL, Seal B, Lerner D. 2010. The cost of poor sleep: workplace productivity loss and associated costs. J Occup Environ Med. 52(1):91–98. doi:10.1097/JOM.0b013e3181c78c30.
  • Sell L, Bultmann U, Rugulies R, Villadsen E, Faber A, Sogaard K. 2009. Predicting long-term sickness absence and early retirement pension from self-reported work ability. Int Arch Occup Environ Health. 82(9):1133–1138. https://www.narcis.nl/publication/RecordID/oai:pure.rug.nl:publications%2F11bd1c60-c128-4c90-945a-1791ab58aee8
  • Sirén M. 1998. One-grip harvester operation, it‘s silvicultural result and possibilities to predict tree damage. Metsantutkimuslaitoksen tiedonantoja 694. Metsantutkimuslaitos.
  • Skogforsk. 2013. StanForD 2010 modern communication with forest machines.
  • Spinelli R, Magagnotti N, Labelle ER. 2020. The effect of new silvicultural trends on mental workload of harvester operators. Croat J For Eng. 41(2):177–190.
  • Ströhle A. 2009. Physical activity, exercise, depression and anxiety disorders. J Neural Transm. 116(6):777–784. doi:10.1007/s00702-008-0092-x.
  • Tuomi K. 1997. Eleven-year follow-up of aging workers. Scand J Work Environ Health. 23(suppl 1):7–11.
  • Tuomi K, Huuhtanen P, Nykyri E, Ilmarinen J. 2001. Promotion of work ability, the quality of work and retirement. Occup Med. 51(5):318–324.
  • Vänni K, Virtanen P, Luukkaala T, Nygård C-H. 2015. Relationship between perceived work ability and productivity loss. Int J Occup Saf Ergon. 18(3):299–309. https://search.datacite.org/works/10.1080/10803548.2012.11076946
  • van der Berg T, Elders L, de Zwart B, Burdorf A. 2008. The effects of work-related and individual factors on the work ability index: a systematic review. 66(4):211–220. doi:10.1136/oem.2008.039883.
  • Visser R, Spinelli R. 2017. Determining the shape of the productivity function for mechanized felling and felling-processing. J For Res. 17(5):397–402. https://search.datacite.org/works/10.1007/s10310-011-0313-2
  • Warburton DER, Nicol CW, Bredin SSD. 2006. Health benefits of physical activity: the evidence. Cmaj. 174(6):801–809. doi:10.1503/cmaj.051351.
  • Whitson JR. 2013. Gaming the quantified self. Surveill Soc. 11(1/2):163–176. https://search.datacite.org/works/10.24908/ss.v11i1/2.4454
  • Yetisen AK, Martinez-Hurtado JL, Ünal B, Khademhosseini A, Butt H. 2018. Wearables in medicine. Adv Mater. 30(33):1706910–n/a.