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Selected occupational characteristics and change in leukocyte telomere length over 10 years: The Multi-Ethnic Study of Atherosclerosis (MESA)

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  • Kaori Fujishiro
  • Belinda L Needham
  • Paul A Landsbergis
  • Teresa Seeman
  • Nancy Swords Jenny
  • Ana V Diez Roux

Abstract

Telomere length (TL) is considered as a marker of cell senescence, but factors influencing the rate of TL attrition are not well understood. While one previous study reported the association of occupation and TL, many subsequent studies have failed to find the association. This may be due to heterogeneity within the samples and cross-sectional designs. This longitudinal study examines two occupational characteristics, occupational complexity and hazardous conditions, as predictors of TL attrition in gender- and race/ethnicity-stratified analysis. Leukocyte TL (expressed as T/S ratio) was measured twice over a 10-year period in a multi-racial sample (n = 914). Linear mixed effect models were used to estimate TL attrition associated with occupational complexity and hazardous conditions. Analysis was stratified by gender and race/ethnicity (white, African American, and Latino) and controlled for baseline age, baseline TL, and time since baseline. Higher occupational complexity was associated with slower rates of TL attrition only among white men. Hazardous conditions were not associated with TL attrition for any gender-and-race/ethnicity stratified group. Occupational complexity may influence TL attrition, but the different findings for white men and other groups suggest that a more comprehensive framework is needed to better understand the potential link between occupational characteristics and biological aging.

Suggested Citation

  • Kaori Fujishiro & Belinda L Needham & Paul A Landsbergis & Teresa Seeman & Nancy Swords Jenny & Ana V Diez Roux, 2018. "Selected occupational characteristics and change in leukocyte telomere length over 10 years: The Multi-Ethnic Study of Atherosclerosis (MESA)," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-12, September.
    • Handle: RePEc:plo:pone00:0204704
    DOI: 10.1371/journal.pone.0204704
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    References listed on IDEAS

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    1. Altonji, Joseph G. & Blank, Rebecca M., 1999. "Race and gender in the labor market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 48, pages 3143-3259, Elsevier.
    2. Paul G Shiels & Liane M McGlynn & Alan MacIntyre & Paul C D Johnson & G David Batty & Harry Burns & Jonathan Cavanagh & Kevin A Deans & Ian Ford & Alex McConnachie & Agnes McGinty & Jennifer S McLean , 2011. "Accelerated Telomere Attrition Is Associated with Relative Household Income, Diet and Inflammation in the pSoBid Cohort," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-7, July.
    3. repec:eee:labchp:v:3:y:1999:i:pc:p:3143-3259 is not listed on IDEAS
    4. Bruce Fallick & Charles A. Fleischman, 2004. "Employer-to-employer flows in the U.S. labor market: the complete picture of gross worker flows," Finance and Economics Discussion Series 2004-34, Board of Governors of the Federal Reserve System (U.S.).
    5. Tony Robertson & G David Batty & Geoff Der & Michael J Green & Liane M McGlynn & Alan McIntyre & Paul G Shiels & Michaela Benzeval, 2012. "Is Telomere Length Socially Patterned? Evidence from the West of Scotland Twenty-07 Study," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-13, July.
    6. Needham, Belinda L. & Adler, Nancy & Gregorich, Steven & Rehkopf, David & Lin, Jue & Blackburn, Elizabeth H. & Epel, Elissa S., 2013. "Socioeconomic status, health behavior, and leukocyte telomere length in the National Health and Nutrition Examination Survey, 1999–2002," Social Science & Medicine, Elsevier, vol. 85(C), pages 1-8.
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