TY - JOUR T1 - Monitoring trends in psychosocial and physical working conditions: Challenges and suggestions for the 21st century JO - Scandinavian Journal of Work, Environment & Health PY - 2021/7VL - 47 IS - 5 SP - 329 EP - 333 AU - Burr, Hermann M3 - doi: 10.5271/sjweh.3973 UR - https://www.sjweh.fi/show_abstract.php?abstract_id=3973 KW - editorial KW - job demand KW - job resource KW - occupational trajectory KW - physical working condition KW - psychosocial KW - trend N2 -

In work and health research, there is a lack of studies on prevalence of psychosocial (eg, quantitative demands, social relations) and physical (eg, physical activity, heavy lifting) working conditions among national employee populations – and their trends. [In the following, I shall not discuss the issue of trends of other exposures, such as chemical and dust exposures (1).] To my knowledge, in the recent decade, only a few studies have investigated this topic (2–8), and, in this issue of the Scandinavian Journal of Work, Environment and Health, such a rare study is published (9).

Trends This issue of the journal includes a new Swedish study, which not only aims to distinguish between different types of macro trends in working conditions (going beyond the assumption of simple linear trends) but also examines whether the gap between good and bad – in terms of working environment – jobs has widened. The reason why it makes sense to go beyond trends in working conditions is obvious. Regarding the industrialized countries, some findings indicate that working conditions are largely deteriorating (3, 5, 8). Other findings indicate that inequalities in distributions of working conditions are increasing (10, 11). A third group of findings suggest that no uniform trends exist; trends, if any, are different from country to country (7) . It has been suggested that the reason for these trends (deterioriation of or increased inequality in exposure to working conditions) might be found in the last four decades of liberalization of labor markets accompanied by globalization and digitalization (10–12). Corin et al`s study (9) in this issue of the journal, however, neither shows a downward uniform trend nor an increased inequality in quality of working conditions in Sweden. However, the question remains, if monitoring data in other countries were analyzed in the same manner as in this new Swedish study, what trends would we see in these countries?

Reasons for lack of scientific research focus One can wonder why there are comparably few studies on trends in working conditions. In his first edition of Modern Epidemiology, Rothman claims that researchers of health risk factors tend to jump directly to advanced regression analyses skipping a thorough inspection of their data, including which groups in the analysed population are exposed to what exposures (13). Simple intercorrelation tables, or even the traditional ‘Table 1’ showing independent variables broken down by gender or socioeconomic status might be insufficient. Regarding a range of work environment factors, prevalences by occupation can give rich information on what a given exposure actually means for the worker. Let me just give an example from Denmark, a labor market with working hour restrictions especially among blue-collar workers negotiated by the social partners (14, 15). If we take the dimension `work–family conflict`, many would immediately think of the overworked white-collar worker with deadlines, eg, journalists, managers, or academics. But the occupational groups reporting the highest level of this conflict in Denmark are not these groups but rather truck drivers (an occupation directly subject to competition from peers from less regulated labor markets), health workers (including only one sole group of academics, namely medical doctors) and other workers subjected to night work (16). In order to understand what a variable really measures, inspection of occupational patterns can be invaluable for both practitioners and researchers. Even a lack of variation due to occupation can widen the understanding of what a variable measures. This applies, for example, to quality of leadership or social support (17, 18). These variables are assumed to rather reflect traits of organizations and departments than traits of occupations (19). So, even if research data in most cases serve purposes other than monitoring, it is worthwhile collecting and classifying data on occupation (even if it is costly) – or at least consulting local monitoring data – in order to understand better what working conditions measure.

Working conditions: Monitoring trends versus investigating risk factors It is striking that monitoring data in general are collected in organizational settings other than those where data are used for research on associations between work, health and labor market participation (20, 21). Also, requirements of monitoring data are quite different from requirements of research data. In order to measure long-term trends, monitoring data should collect the same data over time. Only if new issues arise, old issues disappear, or profound methodological issues emerge, should changes in monitoring be introduced. One such methodological issue is the decreasing trend in participation in surveys (22). Researchers who, on the other hand, are looking at work as a possible predictor of health or labor market participation, tend to improve measurements and introduce new risk factors [therefore, the IPD-Work consortium approach of pooling data to overcome limited power of a majority of research datasets is challenged by deviating measurements of risk factors (23, 24)]. However, this does not mean that monitoring data are more conservative and research data more innovative. A comparison of psychosocial content of European monitoring questionnaires reveals a much wider focus on psychosocial factors than the one employed in longitudinal research of cardiovascular disease, burnout or depressive symptoms (25, 26). Note that the distinction of the labels ‘monitoring’ and ‘research’ assumes that dealing with prevalence and trends in working conditions is not research, an assumption which Corin et al`s paper in this issue of the journal refutes.

Two challenges: Precariousness and border crossing In industrialized countries, most data on work and health are collected among workers employed as wage earners working in workplaces in their country of permanent residence. This restriction is challenged by (i) various types of precarious employment contracts and (ii) work arrangements crossing borders, ie, involving a dislocation of work from place of residence.

Precarious employment contracts have been on the rise in recent decades and comprise, for example, temporary contracts (some very short term), no contract (including illegal schemes), self-employed one person employment and crowd work (27–30). Note that the prevalence of types of precarious work contracts differs very much from country to country (31). Workers on such contracts might be harder to reach in surveys. In some cases, they might be excluded from sampling frame definitions if the data provider (eg, the state or the company) does not register them as employees. Of course this problem does not arise in studies where the sample frame is based on resident populations allowing also for inclusion of workers not classified as such in registers (2–9). If however precarious workers are contacted in surveys, their uncertain or temporary (or even illegal) situation could make it difficult for them to consider themselves as employees and describe their work situation.

Work arrangements crossing borders have also increased over the last decades (32, 33). This can involve – in its more simple form – border crossers, ie, workers living in one country working in another crossing borders on a daily basis (34). Such arrangements comprise among other things also posted workers [ie, those being sent by their company to work in another country on a temporary basis; this applies to workers in construction companies who are brought from the companies’ country of location to the country where construction takes place (32, 35, 36)]. Another arrangement includes temporary migrant workers who work for a short period of time in agriculture, eg, harvest seasons or those who are employed as nannies, nurses or truck drivers in periods of several years (37, 38). Such temporary workers might seek work in another country on their own, they might be hired by the company they work for in their home country, or a third party might organize the work arrangement, which again can be formal, informal or illegal (39). Also workers crossing borders might be difficult to reach in surveys. They might not be part of sampling frames in the country – or company – where work is carried out (39). Moreover, when interviews are carried out, language barriers could hamper survey participation. To complicate things further aspects of precariousness and border crossing can flow together (eg, illegal work arrangements and residence), further complicating data collection.

In some countries and sectors, these challenges (precariousness and border crossing) might play a role for the coverage of existing monitoring systems or research in work and health. Appropriate data collection and analytical methods exist and should be applied to meet these two challenges (40, 41).

Concluding remarks After this, two important questions remain: (i) Do macro trends in working conditions show continuous improvements or deteriorations over time? (ii) Is there is a widening of inequalities in unfavourable working conditions, both within and between occupations?

In many industrialized countries, monitoring data are available that can help answer these questions (20). For some working conditions, monitoring data over time are readily available in population and workforce- based surveys, whereas, for other work-related risk factors, data on trends over time are lacking. At least regarding European surveys, it seems that psychosocial factors are covered more broadly than physical factors (26, 42). Knowledge on trends are of paramount importance for (i) identification of new risk factors, (ii) determining whether occupational health interventions on the national level are successful, and (iii) the quantification of the health impact of various hazards. I hope that the present issue`s paper by Corin et al will lead to more contributions within this field of research.

References 1. Creely KS, Cowie H, Van Tongeren M, Kromhout H, Tickner J, Cherrie JW. Trends in inhalation exposure--a review of the data in the published scientific literature. Annals Occup Hyg. 2007;51(8):665-78. 2. Malard L, Chastang JF, Niedhammer I. Changes in psychosocial work factors in the French working population between 2006 and 2010. Int Arch Occup Environ Health. 2015;88(2):235-46. https://doi.org/10.1007/s00420-014-0953-6 3. Utzet M, Moncada S, Molinero E, Llorens C, Moreno N, Navarro A. The changing patterns of psychosocial exposures at work in the south of Europe: Spain as a labor market laboratory. Am J Ind Med. 2014;57(9):1032-42. https://doi.org/10.1002/ajim.22334 4. LaMontagne AD, Krnjacki L, Kavanagh AM, Bentley R. Psychosocial working conditions in a representative sample of working Australians 2001-2008: an analysis of changes in inequalities over time. Occup Environ Med. 2013;70(9):639-47. https://doi.org/10.1136/oemed-2012-101171 5. Smith P, Morassaei S, Mustard C. Examining changes in reported work conditions in Quebec, Ontario and Saskatchewan between 1994 and 2003-05. Can J Pub Health (Revue canadienne de sante publique). 2011;102(2):127-32. https://doi.org/10.1007/BF03404161 6. Pejtersen JH, Kristensen TS. The development of the psychosocial work environment in Denmark from 1997 to 2005. Scand J Work Environ Health. 2009;35(4):284-93. https://doi.org/10.5271/sjweh.1334 7. Malard L, Chastang J-F, Schütte S, Parent-Thirion A, Vermeylen G, Niedhammer I. Changes in psychosocial work exposures among employees between 2005 and 2010 in 30 countries in Europe. J Occup Environ Med. 2013;55(10):1135-41. https://doi.org/10.1097/JOM.0b013e3182a3eb90 8. Myers S, Govindarajulu U, Joseph M, Landsbergis P. Changes in work characteristics over 12 years: Findings from the 2002-2014 US National NIOSH Quality of Work Life Surveys. Am J Ind Med. 2019;62(6):511-22. 9. Corin L, Pousette A, Berglund T, Dellve L, Hensing G, Björk L. Occupational trajectories of working conditions in Sweden: Development trends in the workforce, 1997-2015. Scand J Work Environ Health. 2021;47(5):335–348. https://doi.org/10.5271/sjweh.3955 10. Kalleberg AL. Good jobs, bad jobs: The rise of polarized and precarious employment systems in the United States, 1970s-2000s. NY (USA): Russell Sage Foundation; 2011. 11. Peugny C. The decline in middle-skilled employment in 12 European countries: New evidence for job polarisation. Res Pol. 2019;6(1):2053168018823131. https://doi.org/10.1177/2053168018823131 12. Sennett R. The culture of the new capitalism. New Haven (USA): Yale University Press; 2007. 13. Rothman KJ. Modern Epidemiology. 1st ed. Boston: Little, Brown; 1986. 14. Madsen PK. “Shelter from the storm?” - Danish flexicurity and the crisis. IZA J Eur Labor Studies. 2013;2(1):6. https://doi.org/10.1186/2193-9012-2-6 15. Madsen PK. How can it possibly fly? The paradox of a Dynamic Labour Market in a Scandinavian Welfare State. In: Campell J, Hall J, Pedersen O, editors. National Identity and the Varieties of Capitalism The Danish Experience. Montreal: McGill University Press.; 2006. p. 321-55. 16. Albertsen K, Burr H. Hvem har skæve arbejdstider, og hvordan er balancen mellem privatliv og arbejdsliv? [Who has irregular working hours, and how is the balance between private life and working life?]. In: (AMI) NIoOH, editor. Copenhagen; 2007. 17. Bultmann U, Kant I, van Amelsvoort LGPM, van den Brandt PA, Kasl SV. Differences in fatigue and psychological distress across occupations: Results from the Maastricht Cohort Study of Fatigue at Work. J Occup Environ Med. 2001;43(11):976-83. https://doi.org/10.1097/00043764-200111000-00008  18. Madsen IEH, Gupta N, Budtz-Jorgensen E, Bonde JP, Framke E, Flachs EM, et al. Physical work demands and psychosocial working conditions as predictors of musculoskeletal pain: a cohort study comparing self-reported and job exposure matrix measurements. Ocucp Environ Med. 2018;75(10):752-8. https://doi.org/10.1136/oemed-2018-105151 19. Kristensen TS, Hannerz H, Hogh A, Borg V. The Copenhagen Psychosocial Questionnaire - a tool for the assessment and improvement of the psychosocial work environment. Scand J Work Environ Health. 2005;31:11. https://doi.org/10.5271/sjweh.948 20. Dollard M, Skinner N, Tuckey MR, Bailey T. National surveillance of psychosocial risk factors in the workplace: An international overview. Work & Stress. 2007;21(1):1-29. https://doi.org/10.1080/02678370701254082 21. Burr H, Ploug N. How to measure trends in the work environment - a workshop at the international NAM-NIVA Summer School 2007. Scand J Work Environ Health. 2008:22-6. 22. Mölenberg FJM, de Vries C, Burdorf A, van Lenthe FJ. A framework for exploring non-response patterns over time in health surveys. BMC Med Res Method. 2021;21(1):37. https://doi.org/10.1186/s12874-021-01221-0  23. Fransson EI, Nyberg ST, Heikkila K, Alfredsson L, Bacquer de D, Batty GD, et al. Comparison of alternative versions of the job demand-control scales in 17 European cohort studies: the IPD-Work consortium. BMC Pub Health. 2012;12:62. https://doi.org/10.1186/1471-2458-12-62  24. Siegrist J, Dragano N, Nyberg ST, Lunau T, Alfredsson L, Erbel R, et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2014;87(3):249-56. https://doi.org/10.1007/s00420-013-0855-z 25. Burr H, d’Errico A. Priority, methodological and conceptual issues regarding epidemiological research of occupational psychosocial risk factors for poor mental health and coronary heart disease. Sociologia del Lavoro. 2018;63(2):159-81. https://doi.org/10.3280/SL2018-150009 26. Formazin M, Burr H, Aagestad C, Tynes T, Thorsen SV, Perkio-Makela M, et al. Dimensional comparability of psychosocial working conditions as covered in European monitoring questionnaires. BMC Pub Health. 2014;14:1251. https://doi.org/10.1186/1471-2458-14-1251 27. Oddo VM, Zhuang CC, Andrea SB, Eisenberg-Guyot J, Peckham T, Jacoby D, et al. Changes in precarious employment in the United States: A longitudinal analysis. Scand J Work Environ Health. 2021;47(3):171-80. https://doi.org/10.5271/sjweh.3939 28. Ervasti J, Virtanen M. Research strategies for precarious employment. Scand J Work Environ Health. 2019;45(5):425-7. https://doi.org/10.5271/sjweh.3845 29. Rönnblad T, Grönholm E, Jonsson J, Koranyi I, Orellana C, Kreshpaj B, et al. Precarious employment and mental health: a systematic review and meta-analysis of longitudinal studies. Scand J Work Environ Health. 2019;45(5):429-43. https://doi.org/10.5271/sjweh.3797 30. Kreshpaj B, Orellana C, Burström B, Davis L, Hemmingsson T, Johansson G, et al. What is precarious employment? A systematic review of definitions and operationalizations from quantitative and qualitative studies. Scand J Work Environ Health 2020;46(3):235-47. https://doi.org/10.5271/sjweh.3875 31. Broughton A, Green M, Rickard C, Swift S, Eichhorst W, Tobsch V, et al. Precarious employment in Europe. European Parliament: Strasbourg; 2016. 32. European Commision. Posted workers in the European Union. In: Commision E, editor. Bruxelles: European Commision; 2015. 33. Maslauskaite K. Posted workers in the EU: state of play and regulatory evolution. Paris and Berlin: Notre Europe- Jacques Delors Institute; 2014. 34. Eurostat. Crossing borders Luxemburg: Eurostat; 2020 [Available from: https://ec.europa.eu/eurostat/cache/digpub/eumove/bloc-2c.html?lang=en.  35. Wagner I, Lillie N. European Integration and the Disembedding of Labour Market Regulation: Transnational Labour Relations at the European Central Bank Construction Site. 2014;52(2):403-19. https://doi.org/10.1111/jcms.12096 36. Arnholtz J, Lillie N. Posted Workers in the European Union: The political economy of free movement. Abingdon: Routledge; 2019. p216. https://doi.org/10.4324/9780429031021 37. Eurostat. Working abroad Luxemburg: Eurostat; 2020 [Available from: https://ec.europa.eu/eurostat/cache/digpub/eumove/bloc-2b.html?lang=en. 38. European Commission. Directorate-General for Employment SAaI. Employment and social developments 2015. Brussels: European Commission; 2016. p472. 39. Meardi G, Martin A, Riera ML. Constructing uncertainty: Unions and migrant labour in construction in Spain and the UK. J Ind Rel. 2012;54(1):5-21. https://doi.org/10.1177/0022185611432388 40. Salganik MJ, Heckathorn DD. Sampling and estimation in hidden populations using respondent‐driven sampling. Sociol Method. 2004;34(1):193-240. https://doi.org/10.1111/j.0081-1750.2004.00152.x 41. Van Aerden K, Moors G, Levecque K, Vanroelen CJSir. Measuring employment arrangements in the European labour force: a typological approach. Soc Ind Res. 2014;116(3):771-91. https://doi.org/10.1007/s11205-013-0312-0 42. Tynes T, Aagestad C, Thorsen SV, Andersen LL, Perkio-Makela M, Garcia FJP, et al. Physical working conditions as covered in European monitoring questionnaires. BMC Pub Health. 2017;17(1):544. https://doi.org/10.1186/s12889-017-4465-7

SN - 0355-3140 ER -