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Neighborhood disorder and telomeres: Connecting children's exposure to community level stress and cellular response

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  • Theall, Katherine P.
  • Brett, Zoë H.
  • Shirtcliff, Elizabeth A.
  • Dunn, Erin C.
  • Drury, Stacy S.

Abstract

Our objective was to explore the utility of salivary telomere length (sTL) as an early indicator of neighborhood-level social environmental risk during child development. We therefore tested the hypothesis that sTL would be associated with markers of social stress exposure in children. Children age 4–14 from 87 neighborhoods were recruited through five urban schools in New Orleans, Louisiana, U.S. Data were collected at the level of the child, family/household, and neighborhood. DNA was obtained from saliva using commercially available kits and sTL was determined for 104 children using quantitative PCR. Analysis was performed on 99 children who had complete data including sTL, social environmental stress, and additional covariates. The mean sTL value was 7.4 T/S (telomere signal/single-copy signal) ratio units (±2.4, range = 2.5–18.0), and 4.7% of the variance in sTL was attributed to differences across neighborhoods. Children living in neighborhoods characterized by high disorder had an sTL value 3.2 units lower than children not living in high disordered environments (p < 0.05) and their odds of having low relative sTL (defined as <1 standard deviation below standardized Z-score mean) values was 3.43 times that of children not living in high disorder environments (adjusted OR = 3.43, 95% CI = 1.22, 9.62). Our findings are consistent with previous studies in adults demonstrating a strong link between psychosocial stress and sTL obtained from peripheral blood, consistent with previous studies in youth demonstrating an association between early life stress and sTL obtained from buccal cell DNA and offer increased support for the hypothesis that sTL represents a non-invasive biological indicator of psychosocial stress exposure (i.e., neighborhood disorder) able to reflect differences in stress exposure levels even in young children.

Suggested Citation

  • Theall, Katherine P. & Brett, Zoë H. & Shirtcliff, Elizabeth A. & Dunn, Erin C. & Drury, Stacy S., 2013. "Neighborhood disorder and telomeres: Connecting children's exposure to community level stress and cellular response," Social Science & Medicine, Elsevier, vol. 85(C), pages 50-58.
  • Handle: RePEc:eee:socmed:v:85:y:2013:i:c:p:50-58
    DOI: 10.1016/j.socscimed.2013.02.030
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    1. LaVeist, Thomas A. & Wallace, John M., 2000. "Health risk and inequitable distribution of liquor stores in African American neighborhood," Social Science & Medicine, Elsevier, vol. 51(4), pages 613-617, August.
    2. Seeman, Teresa & Merkin, Sharon S. & Crimmins, Eileen & Koretz, Brandon & Charette, Susan & Karlamangla, Arun, 2008. "Education, income and ethnic differences in cumulative biological risk profiles in a national sample of US adults: NHANES III (1988-1994)," Social Science & Medicine, Elsevier, vol. 66(1), pages 72-87, January.
    3. Geronimus, A.T. & Hicken, M. & Keene, D. & Bound, J., 2006. ""Weathering" and age patterns of allostatic load scores among blacks and whites in the United States," American Journal of Public Health, American Public Health Association, vol. 96(5), pages 826-833.
    4. Karlamangla, Arun S. & Singer, Burton H. & Williams, David R. & Schwartz, Joseph E. & Matthews, Karen A. & Kiefe, Catarina I. & Seeman, Teresa E., 2005. "Impact of socioeconomic status on longitudinal accumulation of cardiovascular risk in young adults: the CARDIA Study (USA)," Social Science & Medicine, Elsevier, vol. 60(5), pages 999-1015, March.
    5. Needham, Belinda L. & Fernandez, Jose R. & Lin, Jue & Epel, Elissa S. & Blackburn, Elizabeth H., 2012. "Socioeconomic status and cell aging in children," Social Science & Medicine, Elsevier, vol. 74(12), pages 1948-1951.
    6. Oakes, J. Michael & Rossi, Peter H., 2003. "The measurement of SES in health research: current practice and steps toward a new approach," Social Science & Medicine, Elsevier, vol. 56(4), pages 769-784, February.
    7. Caughy, M.O. & O'Campo, P.J. & Muntaner, C., 2004. "Experiences of racism among African American parents and the mental health of their preschool-aged children," American Journal of Public Health, American Public Health Association, vol. 94(12), pages 2118-2124.
    8. 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.
    9. Diez Roux, Ana V., 2004. "Estimating neighborhood health effects: the challenges of causal inference in a complex world," Social Science & Medicine, Elsevier, vol. 58(10), pages 1953-1960, May.
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    3. Whisman, Mark A. & Robustelli, Briana L. & Sbarra, David A., 2016. "Marital disruption is associated with shorter salivary telomere length in a probability sample of older adults," Social Science & Medicine, Elsevier, vol. 157(C), pages 60-67.
    4. Christopher R. Browning & Catherine A. Calder & Jodi L. Ford & Bethany Boettner & Anna L. Smith & Dana Haynie, 2017. "Understanding Racial Differences in Exposure to Violent Areas," The ANNALS of the American Academy of Political and Social Science, , vol. 669(1), pages 41-62, January.
    5. Worthman, Carol M. & Tomlinson, Mark & Rotheram-Borus, Mary Jane, 2016. "When can parents most influence their child's development? Expert knowledge and perceived local realities," Social Science & Medicine, Elsevier, vol. 154(C), pages 62-69.
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    7. Petteway, Ryan J. & Mujahid, Mahasin & Allen, Amani & Morello-Frosch, Rachel, 2019. "The body language of place: A new method for mapping intergenerational “geographies of embodiment” in place-health research," Social Science & Medicine, Elsevier, vol. 223(C), pages 51-63.

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