Literature DB >> 26889978

Long working hours and cancer risk: a multi-cohort study.

Katriina Heikkila1,2, Solja T Nyberg2, Ida E H Madsen3, Ernest de Vroome4, Lars Alfredsson5,6, Jacob J Bjorner3, Marianne Borritz7, Hermann Burr8, Raimund Erbel9, Jane E Ferrie10,11, Eleonor I Fransson6,12,13, Goedele A Geuskens4, Wendela E Hooftman4, Irene L Houtman4, Karl-Heinz Jöckel14, Anders Knutsson15, Markku Koskenvuo16, Thorsten Lunau17, Martin L Nielsen18, Maria Nordin13,19, Tuula Oksanen2, Jan H Pejtersen20, Jaana Pentti2, Martin J Shipley10, Andrew Steptoe10, Sakari B Suominen21,22,23, Töres Theorell13, Jussi Vahtera2,21,24, Peter J M Westerholm25, Hugo Westerlund13, Nico Dragano17, Reiner Rugulies3,26, Ichiro Kawachi27, G David Batty10,28, Archana Singh-Manoux10,29, Marianna Virtanen2, Mika Kivimäki2,10,30.   

Abstract

BACKGROUND: Working longer than the maximum recommended hours is associated with an increased risk of cardiovascular disease, but the relationship of excess working hours with incident cancer is unclear.
METHODS: This multi-cohort study examined the association between working hours and cancer risk in 116 462 men and women who were free of cancer at baseline. Incident cancers were ascertained from national cancer, hospitalisation and death registers; weekly working hours were self-reported.
RESULTS: During median follow-up of 10.8 years, 4371 participants developed cancer (n colorectal cancer: 393; n lung cancer: 247; n breast cancer: 833; and n prostate cancer: 534). We found no clear evidence for an association between working hours and the overall cancer risk. Working hours were also unrelated the risk of incident colorectal, lung or prostate cancers. Working ⩾55 h per week was associated with 1.60-fold (95% confidence interval 1.12-2.29) increase in female breast cancer risk independently of age, socioeconomic position, shift- and night-time work and lifestyle factors, but this observation may have been influenced by residual confounding from parity.
CONCLUSIONS: Our findings suggest that working long hours is unrelated to the overall cancer risk or the risk of lung, colorectal or prostate cancers. The observed association with breast cancer would warrant further research.

Entities:  

Mesh:

Year:  2016        PMID: 26889978      PMCID: PMC4984872          DOI: 10.1038/bjc.2016.9

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Epidemiological research suggests that working long hours has a detrimental effect on health. Extended working hours have been reported as being associated with an increased incidence of coronary heart disease and stroke (Kang ; Virtanen ; Kivimaki ) pre-term delivery (van Melick ) and, in manual occupations, type 2 diabetes (Kivimaki ), as well as a high prevalence of anxiety, depression, sleeping difficulties and accidental injuries at work. (Dembe ; Bannai and Tamakoshi, 2014). The relationship between long working hours and cancer, however, is unclear. Long working hours could impact on cancer risk via their association with lifestyle-related exposures. Observational evidence suggests that working longer than recommended hours is linked to many behavioural cancer risk factors, such as excessive alcohol intake (Virtanen ) and physical inactivity (Kirk and Rhodes, 2011; Angrave ), possibly because individuals feel that they lack time to exercise because they spend extensive time at work (Escoto ). As far as we are aware, the association between long working hours and incident cancer has been examined in only one previous investigation, which had inconclusive findings: in that prospective cohort study the association between working 45 h or longer per week and breast cancer was imprecisely estimated (hazard ratio (HR): 0.93, 95% confidence interval (CI): 0.54, 1.58) and no other cancer outcomes were examined (Nielsen ). To address this evidence gap, we examined the relationship between weekly working hours and the overall incident cancer as well as incident colorectal, lung, breast and prostate cancers using individual participant data from 116 000 men and women from 12 prospective cohort studies from six European countries.

Materials and Methods

Studies

The 12 studies in our analyses were conducted between 1992 and 2004 in Denmark, Finland, Germany, Sweden, The Netherlands and UK. All were a part of the Individual-Participant-Data Meta-analysis of Working Populations (IPD-Work) Consortium, a collaborative research effort to investigate the health impact of work-related exposures (Kivimaki ). Details of each study's design, recruitment of participants, data collection and ethics committee approval are provided in Supplementary eAppendix 1.

Participants

Our analyses were based on 116 462 men and women who were working and free of cancer at study baseline, whose records were linked to register-based information on incident cancers and who had complete data available on covariates (Supplementary eAppendix 1 and Supplementary Table S1).

Exposures and outcomes

Weekly working hours were ascertained from baseline self-report questions on usual weekly working hours and defined as the total number of hours in the main job and any secondary jobs (Supplementary eAppendix 2 and Supplementary Table S2). Cancer events were identified from national cancer, hospitalisation and death registers in all studies apart from one (for details, see Supplementary eAppendix 2). The date of the cancer event was defined as the date of diagnosis or hospital admission due to cancer, whichever was earlier. Cancer cases were categorised according to the type and time of diagnosis of their first cancer. We excluded individuals whose first cancer record came from their death certificate (n=10), as the date of diagnosis for these cancers was uncertain. Codes for the incident cancer events were harmonised using ICD-10 (International Classification of Diseases, version 10) as any cancer (ICD-10 codes C00-C97), colorectal (C18-C20), lung (C34), female breast (C50) and prostate (C61) cancers.

Potential confounders and mediators

Details of the selection and ascertainment of the covariates included in our models are provided in Supplementary eAppendix 2. Briefly, potential confounders were age, sex, socioeconomic position, shift work and night-time work. Potential mediators were smoking, alcohol intake and body mass index (BMI). All covariates, measured at baseline, were harmonised across the studies as reported previously (Heikkila ; Heikkilä ; Nyberg , 2014).

Statistical analysis

Weekly working hours were analysed as a categorical exposure: <35 h, 35–40 h (reference category: standard working hours for the majority of the workforce in Europe), 41–48 h (the upper limit for the European Union Working Time Directive), 49–54 h and ⩾55 h. Incident cancers (any cancer, colorectal, lung, female breast and prostate cancers) were analysed as binary outcomes. Each participant was followed-up from the date of their baseline assessment to the earliest of the following: incident cancer, death or the end of the registry follow-up. We modelled the associations between working hours and each cancer outcome in each study using Cox proportional hazards regression with the participant's age (i.e., time since birth) as the time scale in the model. Study-specific results were combined using random effects meta-analyses. All statistical analyses were conducted using Stata MP 13 (Stata Corporation, College Station, TX, USA) bar the study-specific analyses in the Danish studies, which were conducted using SAS 9.3 (SAS Institute Inc., Cary, NC, USA) and POLS, which were conducted using SPSS 20.0 (SPSS Inc., Chicago, IL, USA).

Results

The characteristics of the 116 462 participants are summarised in Table 1. Overall, these men and women were aged 15–73 at baseline and the majority worked a standard 35–40 h per week, with the study-specific proportions varying from 31 to 71%. During a follow-up ranging from 4 to 22 years (median of study-specific medians: 10.8), 4371 individuals were diagnosed with cancer. Of these, 393 men and women had colorectal cancer and 247 had lung cancer; 833 women developed breast cancer and 534 men prostate cancer.
Table 1

Participant characteristics

       Working hoursIncident cancer
StudyBaseline YearCountryN ParticipantsaFollow-up (years) MedianN (%) MenAge Mean (s.d.)CategoryN (%)TypeN
WOLF Stockholm1992Sweden536314.83117 (58.1)41.3 (11.0)<35 35–40 41–48 49–54 ⩾55281 (6.2) 2397 (52.7) 1666 (36.6) 152 (3.3) 55 (1.2)Any Colorectal Lung Breast Prostate468 51 28 61 83
Whitehall II1992–1993UK734122.65096 (69.4)48.8 (5.7)<35 35–40 41–48 49–54 ⩾55229 (3.1) 3865 (52.7) 1458 (19.9) 1057 (14.4) 732 (10.0)Any Colorectal Lung Breast Prostate953 96 38 146 175
WOLF Norrland1996Sweden455111.83838 (84.3)43.9 (10.2)<35 35–40 41–48 49–54 ⩾55527 (9.8) 2614 (48.7) 1611 (30.0) 385 (7.2) 226 (4.2)Any Colorectal Lung Breast Prostate255 32 18 17 66
IPAW1996–1997Denmark198914.0661 (33.2)41.1 (10.4)<35 35–40 41–48 49–54 ⩾55648 (32.6) 1244 (62.5) 77 (3.9) 14 (0.7) 6 (0.3)Any Colorectal Lung Breast Prostate142 12 18 38 8
COPSOQ-I1997Denmark178813.1928 (51.9)40.5 (10.6)<35 35–40 41–48 49–54 ⩾55342 (19.1) 974 (54.5) 249 (13.9) 113 (6.3) 110 (6.2)Any Colorectal Lung Breast Prostate105 11 7 24 4
HeSSup1998Finland15 8888.07151 (45.0)39.5 (10.2)<35 35–40 41–48 49–54 ⩾551882 (11.9) 8511 (53.6) 2912 (18.3) 1176 (7.4) 1407 (8.9)Any Colorectal Lung Breast Prostate401 25 9 109 39
PUMA1999Denmark174011.1307 (17.6)42.6 (10.1)<35 35–40 41–48 49–54 ⩾55557 (32.0) 1013 (58.2) 120 (6.9) 33 (1.9) 17 (1.0)Any Colorectal Lung Breast Prostate105 12 10 30 6
DWECS2000Denmark543910.52924 (53.8)41.6 (11.0)<35 35–40 41–48 49–54 ⩾55884 (16.3) 3002 (55.2) 788 (14.5) 330 (6.1) 435 (8.0)Any Colorectal Lung Breast Prostate227 21 19 49 23
FPS2000Finland42 7944.58528 (19.9)44.4 (9.4)<35 35–40 41–48 49–54 ⩾553413 (8.0) 30 475 (71.2) 6108 (14.3) 1440 (3.4) 1358 (3.2)Any Colorectal Lung Breast Prostate860 37 27 310 44
HNR2000Germany18339.21074 (58.6)53.5 (5.1)<35 35–40 41–48 49–54 ⩾55473 (25.8) 559 (30.5) 289 (15.8) 206 (11.2) 306 (16.7)Any Colorectal Lung Breast Prostate150 8 17 21 25
POLS1997–2002Netherlands24 4179.914 382 (58.9)38 (11.1)<35 35–40 41–48 49–54 ⩾558253 (33.8) 12 331 (50.5) 1001 (4.1) 1001 (4.1) 1831 (7.5)Any Colorectal Lung Breast Prostate624 79 49 10 58
COPSOQ-II2004Denmark33196.01585 (47.7)42.6 (10.2)<35 35–40 41–48 49–54 ⩾55528 (15.9) 1748 (52.7) 658 (19.8) 212 (6.4) 173 (5.2)Any Colorectal Lung Breast Prostate81 9 7 18 3

Abbreviations: COPSOQ-I=Copenhagen Psychosocial Questionnaire I; COPSOQ-II=Copenhagen Psychosocial Questionnaire II; DWECS=Danish Work Environment Cohort Study; FPS=Finnish Public Sector Study; HeSSup=Health and Social Support Study; HNR=Heinz-Nixdorf Recall Study; IPAW=Intervention Project on Absence and Well-being; POLS=Permanent Onderzoek Leefsituatie; WOLF=Work, Lipids and Fibrinogen.

With complete data on weekly working hours, cancer outcomes, age and sex, and free of cancer at study baseline and within the first year of follow-up.

The associations between weekly working hours and incident cancers are shown in Figure 1. The study-specific estimates are provided in Supplementary eAppendices 3–7. We observed no association between longer than recommended weekly working hours and overall cancer risk, although working <35 h per week was associated with a slightly reduced average risk of any incident cancer (multivariable-adjusted random effects HR: 0.86, 95% CI: 0.76, 0.98). Our meta-analyses provided no clear evidence for an association between weekly working hours and the risk of colorectal or lung cancers. Working hours were also generally unrelated to incident prostate cancer, though the risk was slightly elevated among men who worked 49–54 h per week (multivariable-adjusted HR: 1.39, 95% CI: 1.02, 1.89). There was negligible heterogeneity among the study-specific estimates for these cancer outcomes. Generally, adjustment for work-related factors (socioeconomic position, night-time work and shift work) or lifestyle factors (BMI, smoking or alcohol intake) had little impact on the estimates.
Figure 1

Associations of weekly working hours with incident cancer.

Working 55 h or longer was associated with an increased risk of female breast cancer in the age-adjusted analyses (HR: 1.54, 95% CI: 1.09, 2.18). This association remained after additional adjustment for socioeconomic position; night-time work, shift work (HR: 1.49, 95% CI: 1.05, 2.11) and BMI; smoking; and alcohol intake (HR: 1.60, 95% CI: 1.12, 2.29). The study-specific estimates were similar to one another in direction and magnitude (I2: <0%).

Discussion

In our study of over 116 000 European men and women and up to 4371 incident cancer cases, we found no evidence for an association between long weekly working hours and the overall cancer incidence, although those working <35 h per week had a slightly reduced risk. No evidence was observed for an association between weekly working hours and the risks of colorectal, lung or prostate cancers. Working 55 h or longer per week was associated with an increased breast cancer risk (multivariable-adjusted random effects HR: 1.60, 95% CI: 1.12, 2.29). Overall, there was little heterogeneity among the study-specific association estimates and adjustment for work characteristics, socioeconomic position, obesity and lifestyle factors did not markedly change these. To our knowledge, ours is the largest investigation of this topic to-date and the first to examine the association of working hours with the overall cancer risk as well as the specific risks of common cancers. In the IPD-Work Consortium we have previously reported associations of work-related stress exposures with cardiovascular disease outcomes but not with incident cancers (Kivimaki ; Heikkila ; Nyberg ; Nyberg ; Fransson ; Kivimaki ; Kivimaki ), findings that the current observations seem to support. Our findings are also in keeping with the only previous study of this topic. Working 45 h or longer per week was reported being unrelated to breast cancer risk among female Danish nurses aged 44 years and over (HR: 0.93, 95% CI: 0.54, 1.58) (Nielsen ). The categorisation of weekly working hours as well as the reference category in this study were different from ours, and the estimates thus not directly comparable, but the previously published null-association is compatible with our estimates for similar exposure categories (41–48 h per week, HR: 0.94, 95% CI: 0.68, 1.31) and 49–54 h per week, HR: 0.78, 95% CI: 0.51, 1.18). As no other cancer outcomes were examined in the Danish Nurse Cohort study, we were unable to gauge the compatibility of the rest of our findings with previous research. The association of working 55 h or longer per week with incident breast cancer should be interpreted with caution: no trend in risk was observed across the working-hour categories and this association could thus have been observed by chance or it could relate to the residual confounding. The observed association between these extensively long working hours and incident breast cancer was not markedly influenced by adjustment for lifestyle factors, shift work or night-time work, the latter of which has been suggested to increase breast cancer risk by disrupting the body's circadian rhythms and altering the nocturnal melatonin production, thus impacting on the development of hormone-related breast cancers. However, the evidence for the relationship between night-time work and breast cancer has been recently summarised in systematic reviews and meta-analyses, which showed that the associations reported in case–control studies were not corroborated by prospective evidence. (Ijaz ; Jia ; Kamdar ; Wang ). One important factor that could have a role in the relationship between working hours and breast cancer, and would merit further research, is parity (Ewertz ; Collaborative Group on Hormonal Factors in Breast Cancer, 2002): it could be a confounder or a mediator, as women who work long hours may have fewer children because of childcare demands or cost, or women with children may restrict their working hours. Other potentially relevant exposures include age at first birth, menopausal status, use of hormone replacement therapy and sedentary behaviour at work (Schmid and Leitzmann, 2014). However, as we had no harmonised data on these factors, we were unable to investigate them further. It is unclear what the slightly reduced overall cancer risk among men and women working fewer than 35 h per week relates to (multivariable-adjusted HR: 0.86, 95% CI: 0.75, 0.98). As the association between working hours and incident prostate cancer was not consistent across the exposure categories, we suspect that the slightly elevated risk observed in men who worked 49–54 h per week is a chance finding. As our investigation was based on previously unpublished data, the findings presented here have not been influenced by publication bias. Our analyses were based on a relatively large number of participants from several countries, and with occupations ranging from manual labour to managerial positions, making our findings widely generalisable to the working populations in the Northern and Western Europe. However, at the same time this limits the generalisability of our observations to other continents or low-income countries. In conclusion, our findings suggest that long working hours are unlikely to be associated with the overall cancer risk or the specific risks of colorectal, lung or prostate cancers. The observed association between very long working hours and increased breast cancer risk should be interpreted cautiously and would warrant further research.
  27 in total

1.  Long working hours and cardiovascular disease: a meta-analysis of epidemiologic studies.

Authors:  Mo-Yeol Kang; Hyunseung Park; Jeong-Cheol Seo; Donghoon Kim; Youn-Hee Lim; Sinye Lim; Soo-Hun Cho; Yun-Chul Hong
Journal:  J Occup Environ Med       Date:  2012-05       Impact factor: 2.162

Review 2.  Night-shift work and breast cancer--a systematic review and meta-analysis.

Authors:  Sharea Ijaz; Jos Verbeek; Andreas Seidler; Marja-Liisa Lindbohm; Anneli Ojajärvi; Nicola Orsini; Giovanni Costa; Kaisa Neuvonen
Journal:  Scand J Work Environ Health       Date:  2013-06-26       Impact factor: 5.024

Review 3.  Occupation correlates of adults' participation in leisure-time physical activity: a systematic review.

Authors:  Megan A Kirk; Ryan E Rhodes
Journal:  Am J Prev Med       Date:  2011-04       Impact factor: 5.043

Review 4.  Does night work increase the risk of breast cancer? A systematic review and meta-analysis of epidemiological studies.

Authors:  Yijun Jia; Yunshu Lu; Kejin Wu; Qing Lin; Wei Shen; Mingjie Zhu; Shuo Huang; Jian Chen
Journal:  Cancer Epidemiol       Date:  2013-02-09       Impact factor: 2.984

5.  Work hours and perceived time barriers to healthful eating among young adults.

Authors:  Kamisha Hamilton Escoto; Melissa Nelson Laska; Nicole Larson; Dianne Neumark-Sztainer; Peter J Hannan
Journal:  Am J Health Behav       Date:  2012-11

6.  Long working hours and physical activity.

Authors:  David Angrave; Andy Charlwood; Mark Wooden
Journal:  J Epidemiol Community Health       Date:  2015-03-12       Impact factor: 3.710

Review 7.  Night-shift work and risk of breast cancer: a systematic review and meta-analysis.

Authors:  Biren B Kamdar; Ana I Tergas; Farrah J Mateen; Neil H Bhayani; Jiwon Oh
Journal:  Breast Cancer Res Treat       Date:  2013-02-12       Impact factor: 4.872

Review 8.  Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals.

Authors:  Mika Kivimäki; Markus Jokela; Solja T Nyberg; Archana Singh-Manoux; Eleonor I Fransson; Lars Alfredsson; Jakob B Bjorner; Marianne Borritz; Hermann Burr; Annalisa Casini; Els Clays; Dirk De Bacquer; Nico Dragano; Raimund Erbel; Goedele A Geuskens; Mark Hamer; Wendela E Hooftman; Irene L Houtman; Karl-Heinz Jöckel; France Kittel; Anders Knutsson; Markku Koskenvuo; Thorsten Lunau; Ida E H Madsen; Martin L Nielsen; Maria Nordin; Tuula Oksanen; Jan H Pejtersen; Jaana Pentti; Reiner Rugulies; Paula Salo; Martin J Shipley; Johannes Siegrist; Andrew Steptoe; Sakari B Suominen; Töres Theorell; Jussi Vahtera; Peter J M Westerholm; Hugo Westerlund; Dermot O'Reilly; Meena Kumari; G David Batty; Jane E Ferrie; Marianna Virtanen
Journal:  Lancet       Date:  2015-08-19       Impact factor: 79.321

Review 9.  Long working hours and coronary heart disease: a systematic review and meta-analysis.

Authors:  Marianna Virtanen; Katriina Heikkilä; Markus Jokela; Jane E Ferrie; G David Batty; Jussi Vahtera; Mika Kivimäki
Journal:  Am J Epidemiol       Date:  2012-09-05       Impact factor: 4.897

10.  Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data.

Authors:  Mika Kivimäki; Solja T Nyberg; G David Batty; Eleonor I Fransson; Katriina Heikkilä; Lars Alfredsson; Jakob B Bjorner; Marianne Borritz; Hermann Burr; Annalisa Casini; Els Clays; Dirk De Bacquer; Nico Dragano; Jane E Ferrie; Goedele A Geuskens; Marcel Goldberg; Mark Hamer; Wendela E Hooftman; Irene L Houtman; Matti Joensuu; Markus Jokela; France Kittel; Anders Knutsson; Markku Koskenvuo; Aki Koskinen; Anne Kouvonen; Meena Kumari; Ida E H Madsen; Michael G Marmot; Martin L Nielsen; Maria Nordin; Tuula Oksanen; Jaana Pentti; Reiner Rugulies; Paula Salo; Johannes Siegrist; Archana Singh-Manoux; Sakari B Suominen; Ari Väänänen; Jussi Vahtera; Marianna Virtanen; Peter J M Westerholm; Hugo Westerlund; Marie Zins; Andrew Steptoe; Töres Theorell
Journal:  Lancet       Date:  2012-09-14       Impact factor: 79.321

View more
  9 in total

Review 1.  Effects of stress on the development and progression of cardiovascular disease.

Authors:  Mika Kivimäki; Andrew Steptoe
Journal:  Nat Rev Cardiol       Date:  2017-12-07       Impact factor: 32.419

2.  Weekly hours of informal caregiving and paid work, and the risk of cardiovascular disease.

Authors:  Jesper Mortensen; Nadya Dich; Theis Lange; Cecilia Høst Ramlau-Hansen; Jenny Head; Mika Kivimäki; Constanze Leineweber; Naja Hulvej Rod
Journal:  Eur J Public Health       Date:  2018-08-01       Impact factor: 3.367

3.  The Identification of a Threshold of Long Work Hours for Predicting Elevated Risks of Adverse Health Outcomes.

Authors:  Sadie H Conway; Lisa A Pompeii; David Gimeno Ruiz de Porras; Jack L Follis; Robert E Roberts
Journal:  Am J Epidemiol       Date:  2017-07-15       Impact factor: 4.897

4.  Long working hours and risk of 50 health conditions and mortality outcomes: a multicohort study in four European countries.

Authors:  Jenni Ervasti; Jaana Pentti; Solja T Nyberg; Martin J Shipley; Constanze Leineweber; Jeppe K Sørensen; Lars Alfredsson; Jakob B Bjorner; Marianne Borritz; Hermann Burr; Anders Knutsson; Ida E H Madsen; Linda L Magnusson Hanson; Tuula Oksanen; Jan H Pejtersen; Reiner Rugulies; Sakari Suominen; Töres Theorell; Hugo Westerlund; Jussi Vahtera; Marianna Virtanen; G David Batty; Mika Kivimäki
Journal:  Lancet Reg Health Eur       Date:  2021-09-06

5.  The importance of extended working hours for work-related injuries.

Authors:  Anne Helena Garde
Journal:  Scand J Work Environ Health       Date:  2021-08-11       Impact factor: 5.024

6.  Working for Long Hours Is Associated With Dietary Fiber Insufficiency.

Authors:  Jeehee Min; Dong-Wook Lee; Mo-Yeol Kang; Jun-Pyo Myong; Hyoung-Ryoul Kim; Jongin Lee
Journal:  Front Nutr       Date:  2022-02-18

7.  Breast Cancer Incidence among Female Workers by Different Occupations and Industries: A Longitudinal Population-Based Matched Case-Control Study in Taiwan.

Authors:  Cheng-Ting Shen; Hui-Min Hsieh; Yun-Shiuan Chuang; Chih-Hong Pan; Ming-Tsang Wu
Journal:  Int J Environ Res Public Health       Date:  2022-08-19       Impact factor: 4.614

Review 8.  Stress sensing within the breast tumor microenvironment: how glucocorticoid receptors live in the moment.

Authors:  Carlos Perez Kerkvliet; Thu H Truong; Julie Hanson Ostrander; Carol A Lange
Journal:  Essays Biochem       Date:  2021-12-17       Impact factor: 8.000

9.  Psychosocial work exposures and health outcomes: a meta-review of 72 literature reviews with meta-analysis.

Authors:  Isabelle Niedhammer; Sandrine Bertrais; Katrina Witt
Journal:  Scand J Work Environ Health       Date:  2021-05-27       Impact factor: 5.024

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.