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Table 3 Associations between 2016 financial strain with 2017 inflammatory biomarkers of aging among NHATS participants

From: Propensity score weighted associations between financial strain and subsequent inflammatory biomarkers of aging among a representative sample of U.S. older adults

  Estimate (SE), p-value
Outcomes, sample size Model 1a Model 2b Model 3c
IL-6 (pg/ml) (n = 3,762) 0.22 (0.08), 0.008 0.18 (0.08), 0.028 0.15 (0.07), 0.026
Hemoglobin A1c (%) (n = 4,106) 0.03 (0.01), 0.015 0.01 (0.01), 0.510 0.01 (0.01), 0.283
CMV (AU/ml) (n = 4,123) 0.26 (0.08), 0.002 0.11 (0.09), 0.200 0.10 (0.06), 0.115
CRP (mg/L) (n = 3,915) 0.28 (0.07), < 0.001 0.27 (0.08), < 0.001 0.20 (0.06), 0.002
  1. Obtained from linear regression of ln-transformed outcome values. Sample weights were applied to all models so inferences can be drawn to U.S. older adult Medicare beneficiaries. Boldface indicates statistical significance
  2. aAdjusted for 2017 diabetes diagnosis status in the hemoglobin A1c model
  3. bAdditionally adjusted for age, gender, race/ethnicity, 2017 income to poverty ratio, and education
  4. cApplied both sampling and propensity score weights to obtain doubly robust estimates by accounting for 2015 background characteristics
  5. NHATS National Health and Aging Trends Study