Occupational sedentary behavior and prediction of proteinuria in young to middle-aged adults: a retrospective cohort study

Abstract

Background

Although sedentary behavior is a risk factor of cardiometabolic diseases and mortality, little information is available about a clinical impact of occupational sedentary behavior on chronic kidney disease (CKD).

Methods

The present retrospective cohort study included 10,212 workers of a national university in Japan who underwent annual health checkups between April 2006 and March 2013. Main exposure of interest was self-reported occupational sedentary behavior at the baseline visit. The outcome was the incidence of proteinuria defined as dipstick urinary protein of 1 + or more. The association between sedentary workers and the incidence of proteinuria was assessed using Cox proportional hazards models adjusting for clinically relevant factors, including television viewing time, the major home sedentary behavior.

Results

During median 4.8 years (interquartile range 2.1–7.9) of the observational period, the incidence of proteinuria was observed in 597 (12.0%) males and 697 (13.3%) females. In males, sedentary workers were identified as a significant predictor of proteinuria (multivariable-adjusted hazard ratio of non-sedentary and sedentary workers: 1.00 [reference] and 1.35 [1.11–1.63]), along with longer television viewing time (< 30 min, 30–60 min, 1–2 h, 2–3 h, and > 3 h/day: 1.15 [0.93–1.42], 1.00 [reference], 1.24 [1.00–1.53], 1.41 [1.03–1.93], and 1.77 [1.13–2.76]), whereas not daily exercise time. In females, neither sedentary workers nor television viewing time was associated with the incidence of proteinuria.

Conclusions

In conclusion, male sedentary workers were at high risk of proteinuria. Occupational sedentary behavior may be a potentially modifiable target for the prevention of CKD.

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References

  1. 1.

    Sherwood M, McCullough PA (2016) Chronic kidney disease from screening, detection, and awareness, to prevention. Lancet Glob Heal 4:e288–e289. https://doi.org/10.1016/S2214-109X(16)30049-3

    Article  Google Scholar 

  2. 2.

    Chronic Kidney Disease Prognosis Consortium, Matsushita K, van der Velde M et al (2010) Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis. Lancet 375:2073–2081. https://doi.org/10.1016/S0140-6736(10)60674-5

    Article  Google Scholar 

  3. 3.

    Hallan SI, Matsushita K, Sang Y et al (2012) Age and association of kidney measures with mortality and end-stage renal disease. JAMA 308:2349–2360. https://doi.org/10.1001/jama.2012.16817

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  4. 4.

    Stengel B, Tarver-Carr ME, Powe NR et al (2003) Lifestyle factors, obesity and the risk of chronic kidney disease. Epidemiology 14:479–487. https://doi.org/10.1097/01.EDE.0000071413.55296.c4

    Article  PubMed  Google Scholar 

  5. 5.

    Robinson ES, Fisher ND, Forman JP, Curhan GC (2010) Physical activity and albuminuria. Am J Epidemiol 171:515–521. https://doi.org/10.1093/aje/kwp442

    Article  PubMed  PubMed Central  Google Scholar 

  6. 6.

    Totti V, Fernhall B, Di Michele R et al (2020) Longitudinal analysis of cardiovascular risk factors in active and sedentary kidney transplant recipients. Medicina 56:1–9. https://doi.org/10.3390/medicina56040183

    Article  Google Scholar 

  7. 7.

    Calella P, Hernández-Sánchez S, Garofalo C et al (2019) Exercise training in kidney transplant recipients: a systematic review. J Nephrol 32:567–579. https://doi.org/10.1007/s40620-019-00583-5

    Article  PubMed  Google Scholar 

  8. 8.

    Yang L, Wu X, Wang Y et al (2020) Effects of exercise training on proteinuria in adult patients with chronic kidney disease: a systematic review and meta-analysis. BMC Nephrol 21:172. https://doi.org/10.1186/s12882-020-01816-7

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  9. 9.

    Pate RR, O’Neill JR, Lobelo F (2008) The evolving definition of “sedentary”. Exerc Sport Sci Rev 36:173–178. https://doi.org/10.1097/JES.0b013e3181877d1a

    Article  PubMed  Google Scholar 

  10. 10.

    Lee IM, Shiroma EJ, Lobelo F et al (2012) Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet 380:219–229. https://doi.org/10.1016/S0140-6736(12)61031-9

    Article  PubMed  PubMed Central  Google Scholar 

  11. 11.

    de Oliveira RG, Guedes DP (2016) Physical activity, sedentary behavior, cardiorespiratory fitness and metabolic syndrome in adolescents: systematic review and meta-analysis of observational evidence. PLoS ONE 11:e0168503. https://doi.org/10.1371/journal.pone.0168503

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  12. 12.

    Wilmot EG, Edwardson CL, Achana FA et al (2012) Sedentary time in adults and the association with diabetes, cardiovascular disease and death: systematic review and meta-analysis. Diabetologia 55:2895–2905. https://doi.org/10.1007/s00125-012-2677-z

    Article  PubMed  CAS  Google Scholar 

  13. 13.

    Grøntved A, Hu FB (2011) Television viewing and risk of type 2 diabetes, cardiovascular disease, and all-cause mortality: a meta-analysis. JAMA 305:2448–2455. https://doi.org/10.1001/jama.2011.812

    Article  PubMed  PubMed Central  Google Scholar 

  14. 14.

    Biswas A, Oh PI, Faulkner GE et al (2015) Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults: a systematic review and meta-analysis. Ann Intern Med 162:123–132. https://doi.org/10.7326/M14-1651

    Article  PubMed  Google Scholar 

  15. 15.

    Hawkins M, Newman AB, Madero M et al (2015) TV watching, but not physical activity, is associated with change in kidney function in older adults. J Phys Act Health 12:561–568. https://doi.org/10.1123/jpah.2013-0289

    Article  PubMed  Google Scholar 

  16. 16.

    Lynch BM, White SL, Owen N et al (2010) Television viewing time and risk of chronic kidney disease in adults: the AusDiab Study. Ann Behav Med 40:265–274. https://doi.org/10.1007/s12160-010-9209-1

    Article  PubMed  Google Scholar 

  17. 17.

    Clemes SA, Patel R, Mahon C, Griffiths PL (2014) Sitting time and step counts in office workers. Occup Med 64:188–192. https://doi.org/10.1093/occmed/kqt164

    Article  CAS  Google Scholar 

  18. 18.

    van Uffelen JGZ, Wong J, Chau JY et al (2010) Occupational sitting and health risks: a systematic review. Am J Prev Med 39:379–388. https://doi.org/10.1016/j.amepre.2010.05.024

    Article  PubMed  Google Scholar 

  19. 19.

    Matsuo S, Imai E, Horio M et al (2009) Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis 53:982–992. https://doi.org/10.1053/j.ajkd.2008.12.034

    Article  PubMed  CAS  Google Scholar 

  20. 20.

    Kundel HL, Polansky M (2003) Measurement of observer agreement. Radiology 228:303–308. https://doi.org/10.1148/radiol.2282011860

    Article  PubMed  Google Scholar 

  21. 21.

    Kikuchi H, Inoue S, Sugiyama T et al (2014) Distinct associations of different sedentary behaviors with health-related attributes among older adults. Prev Med 67:335–339. https://doi.org/10.1016/j.ypmed.2014.08.011

    Article  PubMed  Google Scholar 

  22. 22.

    Shibata A, Oka K, Ishii K et al (2019) Objectively-assessed patterns and reported domains of sedentary behavior among Japanese older adults. J Epidemiol 29:334–339. https://doi.org/10.2188/jea.JE20180041

    Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Hsueh M-C, Liao Y, Chang S-H (2016) Associations of total and domain-specific sedentary time with Type 2 Diabetes in Taiwanese older adults. J Epidemiol 26:348–354. https://doi.org/10.2188/jea.JE20150095

    Article  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Saidj M, Menai M, Charreire H et al (2015) Descriptive study of sedentary behaviours in 35,444 French working adults: cross-sectional findings from the ACTI-Cités study. BMC Public Health 15:379. https://doi.org/10.1186/s12889-015-1711-8

    Article  PubMed  PubMed Central  Google Scholar 

  25. 25.

    Kazi A, Duncan M, Clemes S, Haslam C (2014) A survey of sitting time among UK employees. Occup Med 64:497–502. https://doi.org/10.1093/occmed/kqu099

    Article  CAS  Google Scholar 

  26. 26.

    Honda T, Chen S, Kishimoto H et al (2014) Identifying associations between sedentary time and cardio-metabolic risk factors in working adults using objective and subjective measures: a cross-sectional analysis. BMC Public Health 14:1307. https://doi.org/10.1186/1471-2458-14-1307

    Article  PubMed  PubMed Central  Google Scholar 

  27. 27.

    Howard BJ, Balkau B, Thorp AA et al (2015) Associations of overall sitting time and TV viewing time with fibrinogen and C reactive protein: the AusDiab study. Br J Sports Med 49:255–258. https://doi.org/10.1136/bjsports-2013-093014

    Article  PubMed  Google Scholar 

  28. 28.

    Hamer M, Yates T, Demakakos P (2017) Television viewing and risk of mortality: exploring the biological plausibility. Atherosclerosis. https://doi.org/10.1016/j.atherosclerosis.2017.06.024

    Article  PubMed  Google Scholar 

  29. 29.

    Duni A, Liakopoulos V, Roumeliotis S et al (2019) Oxidative stress in the pathogenesis and evolution of chronic kidney disease: untangling Ariadne’s thread. Int J Mol Sci 20:3711. https://doi.org/10.3390/ijms20153711

    Article  PubMed Central  CAS  Google Scholar 

  30. 30.

    Sisson SB, Camhi SM, Church TS et al (2009) Leisure time sedentary behavior, occupational/domestic physical activity, and metabolic syndrome in U.S. men and women. Metab Syndr Relat Disord 7:529–536. https://doi.org/10.1089/met.2009.0023

    Article  PubMed  Google Scholar 

  31. 31.

    Barlow CE, Shuval K, Balasubramanian BA et al (2016) Association between sitting time and cardiometabolic risk factors after adjustment for cardiorespiratory fitness, cooper center longitudinal study, 2010–2013. Prev Chronic Dis 13:E181. https://doi.org/10.5888/pcd13.160263

    Article  PubMed  PubMed Central  Google Scholar 

  32. 32.

    Nang EEK, Van Dam RM, Tan CS et al (2015) Association of television viewing time with body composition and calcified subclinical atherosclerosis in Singapore Chinese. PLoS ONE 10:1–14. https://doi.org/10.1371/journal.pone.0132161

    Article  CAS  Google Scholar 

  33. 33.

    Agarwal M, Selvan V, Freedman BI et al (2005) The relationship between albuminuria and hormone therapy in postmenopausal women. Am J Kidney Dis 45:1019–1025. https://doi.org/10.1053/j.ajkd.2005.02.025

    Article  PubMed  CAS  Google Scholar 

  34. 34.

    Schopick EL, Fisher ND, Lin J et al (2009) Post-menopausal hormone use and albuminuria. Nephrol Dial Transpl 24:3739–3744. https://doi.org/10.1093/ndt/gfp321

    Article  CAS  Google Scholar 

  35. 35.

    Fung MM, Poddar S, Bettencourt R et al (2011) A cross-sectional and 10-year prospective study of postmenopausal estrogen therapy and blood pressure, renal function, and albuminuria: the Rancho Bernardo Study. Menopause 18:629–637. https://doi.org/10.1097/gme.0b013e3181fca9c4

    Article  PubMed  PubMed Central  Google Scholar 

  36. 36.

    Kattah AG, Suarez MLG, Milic N et al (2018) Hormone therapy and urine protein excretion: a multiracial cohort study, systematic review, and meta-analysis. Menopause 25:625–634. https://doi.org/10.1097/GME.0000000000001062

    Article  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Dallal CM, Brinton LA, Matthews CE et al (2016) Association of active and sedentary behaviors with postmenopausal estrogen metabolism. Med Sci Sports Exerc 48:439–448. https://doi.org/10.1249/MSS.0000000000000790

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  38. 38.

    Oh H, Arem H, Matthews CE et al (2017) Sitting, physical activity, and serum oestrogen metabolism in postmenopausal women: the Women’s Health Initiative Observational Study. Br J Cancer 117:1070–1078. https://doi.org/10.1038/bjc.2017.268

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  39. 39.

    Martens RJHH, van der Berg JD, Stehouwer CDAA et al (2018) Amount and pattern of physical activity and sedentary behavior are associated with kidney function and kidney damage: the Maastricht Study. PLoS ONE 13:e0195306. https://doi.org/10.1371/journal.pone.0195306

    Article  PubMed  PubMed Central  CAS  Google Scholar 

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Authors

Contributions

Research idea and study design: RY and MS; data acquisition: RY, MT, KN, MN, KYT, TK, and TM; data management: RY; statistical analysis: YF; interpretation: YF, RY, MS, YK, KA, RT, SO; supervision or mentorship: YI and TM; organization of the study: KYT, TK, and TM. All authors approved the final version.

Corresponding author

Correspondence to Ryohei Yamamoto.

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Conflict of interest

All the authors have declared no competing interest.

Ethics approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. The protocol for the present study was approved by the ethics committees of the Health Care Center, Osaka University (No. 13, 2018) and Osaka University Hospital (17009–2).

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The present study used an opt-out approach to informed consent, according to Japanese Ethical Guidelines for Medical and Health Research Involving Human Subjects.

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Cite this article

Fujii, Y., Yamamoto, R., Shinzawa, M. et al. Occupational sedentary behavior and prediction of proteinuria in young to middle-aged adults: a retrospective cohort study. J Nephrol (2020). https://doi.org/10.1007/s40620-020-00826-w

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Keywords

  • Proteinuria
  • Occupational sedentary behavior
  • Sitting time
  • Sex difference