Does allostatic load calculation method matter? Evaluation of different methods and individual biomarkers functioning by race/ethnicity and educational level

Objectives Using nationally representative data for adults of age 25 years and older from four waves of the National Health and Nutrition Examination Survey (NHANES), collected from 2003 through 2010, this study examines differences in individual health markers used to calculate allostatic load, wit...

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Bibliographic Details
Published inAmerican journal of human biology Vol. 28; no. 5; pp. 627 - 635
Main Authors Howard, Jeffrey T., Sparks, P. Johnelle
Format Journal Article
LanguageEnglish
Published United States Blackwell Publishing Ltd 10.09.2016
Wiley Subscription Services, Inc
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Summary:Objectives Using nationally representative data for adults of age 25 years and older from four waves of the National Health and Nutrition Examination Survey (NHANES), collected from 2003 through 2010, this study examines differences in individual health markers used to calculate allostatic load, with particular attention given to stratification by race/ethnicity and educational level. Methods Factor analysis with maximum likelihood estimation was used. Fisher's r to z transformation test was used to determine whether or not observed differences in factor loadings were statistically significant. Results The findings reveal the unidimensionality of the concept of allostatic load and the underlying differences in associations between individual biomarkers and summary measures of allostatic load. Additionally, metabolic processes tend to be the most important predictor of allostatic load for all adults; however, inflammatory measures are more important in determining allostatic load scores for non‐Hispanic blacks compared to non‐Hispanic whites and for adults with less than a college education compared to adults with some college or a college degree. Conclusions These findings highlight the continued importance of studying the concept of “weathering” or allostatic load at the population level and need to better understand how population groups facing exclusion from economic, social, and political power may internalize this position which may cause early health deterioration and ultimate mortality chance through different expression of health insults and premature aging. Am. J. Hum. Biol. 28:627–635, 2016. © 2016 Wiley Periodicals, Inc.
Bibliography:University of Texas at San Antonio, Office of the Vice President for Research
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ArticleID:AJHB22843
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SourceType-Scholarly Journals-1
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content type line 23
ISSN:1042-0533
1520-6300
DOI:10.1002/ajhb.22843