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. 2020 Nov 4;20(1):1656.
doi: 10.1186/s12889-020-09755-6.

Lifestyle-associated health risk indicators across a wide range of occupational groups: a cross-sectional analysis in 72,855 workers

Daniel Väisänen  1 , Lena V Kallings  2 , Gunnar Andersson  3 , Peter Wallin  3 , Erik Hemmingsson  2 , Elin Ekblom-Bak  2
Affiliations

Lifestyle-associated health risk indicators across a wide range of occupational groups: a cross-sectional analysis in 72,855 workers

Daniel Väisänen et al. BMC Public Health. .

Abstract

Background: Identify and compare health risk indicators for common chronic diseases between different occupational groups.

Methods: A total of 72,855 participants (41% women) participating in an occupational health service screening in 2014-2019 were included. Occupation was defined by the Swedish Standard Classification of Occupation, and divided into nine major and additionally eight sub-major groups. These were analysed separately, as white- and blue-collar occupations and as low- and high-skilled occupations. Seven health risk indicators were self-reported: exercise, physical work situation, sitting at work and leisure, smoking, diet, and perceived health, whereas cardiorespiratory fitness, BMI and blood pressure were measured. These were further dichotomized (yes/no) and as clustering of risk indicators (≥3 vs. <3).

Results: The greatest variation in OR across sub-major and major occupational groups were seen for daily smoking (OR = 0.68 to OR = 5.12), physically demanding work (OR = 0.55 to OR = 45.74) and high sitting at work (OR = 0.04 to OR = 1.86). For clustering of health risk indicators, blue-collar workers had significantly higher clustering of health risks (OR: 1.80; 95% CI 1.71-1.90) compared to white-collar workers (reference). Compared to high-skilled white-collar workers, low-skilled white-collar workers had similar OR (2.00; 1.88-2.13) as high-skilled blue-collar workers (1.98; 1.86-2.12), with low-skilled blue-collar workers having the highest clustered risk (2.32; 2.17-2.48).

Conclusion: There were large differences in health risk indicators across occupational groups, mainly between high-skilled white-collar occupations and the other occupations, with important variations also between major and sub-major occupational groups. Future health interventions should target the occupational groups identified with the highest risk for effective disease prevention.

Keywords: Blue-collar; Cardiorespiratory fitness; Lifestyle; Low- and high-skilled occupations; Occupational groups; Occupations; Physical activity pattern; Risk indicators; White-collar.

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Conflict of interest statement

Gunnar Andersson and Peter Wallin are employed at HPI Health Profile Institute.

Figures

Fig. 1
Fig. 1
Prevalence of risk indicators in occupational groups. CRF; Cardiorespiratory fitness
Fig. 2
Fig. 2
a OR (95% CI) for clustering of risk indicators in relation to aggregation of occupations into white collar, blue collar, high-skilled and low-skilled occupations. b OR (95% CI) for clustering of risk indicators in relation to major and sub-major occupational groups
See this image and copyright information in PMC

References

    1. Krause N, Arah OA, Kauhanen J. Physical activity and 22-year all-cause and coronary heart disease mortality. Am J Ind Med. 2017;60(11):976–990. doi: 10.1002/ajim.22756. - DOI - PubMed
    1. Torén K, Schiöler L, Giang WK, Novak M, Söderberg M, Rosengren A. A longitudinal general population-based study of job strain and risk for coronary heart disease and stroke in Swedish men. BMJ Open. 2014;4(3):e004355. doi: 10.1136/bmjopen-2013-004355. - DOI - PMC - PubMed
    1. Coenen P, Huysmans MA, Holtermann A, Krause N, van Mechelen W, Straker LM, et al. Do highly physically active workers die early? A systematic review with meta-analysis of data from 193 696 participants. Br J Sports Med. 2018;52(20):1320–1326. doi: 10.1136/bjsports-2017-098540. - DOI - PubMed
    1. Kirk MA, Rhodes RE. Occupation correlates of adults’ participation in leisure-time physical activity: a systematic review. Am J Prev Med. 2011;40(4):476–485. doi: 10.1016/j.amepre.2010.12.015. - DOI - PubMed
    1. Tsutsumi A, Kayaba K, Tsutsumi K, Igarashi M. Association between job strain and prevalence of hypertension: a cross sectional analysis in a Japanese working population with a wide range of occupations: the Jichi medical school cohort study. Occup Environ Med. 2001;58(6):367–373. doi: 10.1136/oem.58.6.367. - DOI - PMC - PubMed