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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
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BMC Geriatrics

ISSN: 1471-2318

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