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Racial/Ethnic differences in inflammation levels among older adults 56+: an examination of sociodemographic differences across inflammation measure

KJ Davidson-Turnera Department of Sociology, University of Texas at Austin, Austin, Texas, USACorrespondence[email protected]

https://orcid.org/0009-0007-9828-7829 View further author information

Mateo P. Farinab Department of Human Development and Family Sciences, University of Texas at Austin, Austin, Texas, USAView further author information

Mark D. Haywarda Department of Sociology, University of Texas at Austin, Austin, Texas, USAView further author information

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Table 1. Unweighted demographic description of the analytic sample (n = 7,392).

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Table 2. Odds ratios from weighted logistic regression models predicting high-risk inflammation levels, HRS VBS 2016.

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Table 3. Odds ratios from unweighted logistic regression models predicting racial/ethnic differences of high-risk inflammation levels by gender, HRS VBS 2016.

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Table 4. Odds Ratios from logistic regression models predicting high-risk inflammation levels for Hispanics, HRS VBS 2016 (n = 1,168).

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Table 5. Predicted probabilities from logistic regression models predicting racial/ethnic differences of high-risk inflammation levels by gender, HRS VBS 2016.

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Racial/Ethnic differences in inflammation levels among older adults 56+: an examination of sociodemographic differences across inflammation measure

Table 1. Unweighted demographic description of the analytic sample (n = 7,392).

Table 2. Odds ratios from weighted logistic regression models predicting high-risk inflammation levels, HRS VBS 2016.

Table 3. Odds ratios from unweighted logistic regression models predicting racial/ethnic differences of high-risk inflammation levels by gender, HRS VBS 2016.

Table 4. Odds Ratios from logistic regression models predicting high-risk inflammation levels for Hispanics, HRS VBS 2016 (n = 1,168).

Table 5. Predicted probabilities from logistic regression models predicting racial/ethnic differences of high-risk inflammation levels by gender, HRS VBS 2016.

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Racial/Ethnic differences in inflammation levels among older adults 56+: an examination of sociodemographic differences across inflammation measure

Figures & data

Table 1. Unweighted demographic description of the analytic sample (n = 7,392).

Table 2. Odds ratios from weighted logistic regression models predicting high-risk inflammation levels, HRS VBS 2016.

Table 3. Odds ratios from unweighted logistic regression models predicting racial/ethnic differences of high-risk inflammation levels by gender, HRS VBS 2016.

Table 4. Odds Ratios from logistic regression models predicting high-risk inflammation levels for Hispanics, HRS VBS 2016 (n = 1,168).

Table 5. Predicted probabilities from logistic regression models predicting racial/ethnic differences of high-risk inflammation levels by gender, HRS VBS 2016.

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