Table 3 Associations of aging constructs with total cancer prevalence in 2016; HRS

From: Aging measures and cancer in the Health and Retirement Study (HRS)

Sample Aa

Aging constructs

No. of cancer survivors

No. of controls

OR (95% CI) per 1 SD increase in aging construct, p-valueb

Model 1c

Model 2c

KDM-BA-Accel (SD = 3.83 years)

946

4555

1.04 (0.94, 1.15), p = 0.389

0.99 (0.89, 1.10), p = 0.781

PhenoAgeAccel (SD = 7.12 years)

1.13 (1.03, 1.23), p = 0.008

1.04 (0.95, 1.16), p = 0.379

SA-Accel (SD = 10.36 years)

1.16 (1.07, 1.25), p = 0.0008

1.11 (1.02, 1.20), p = 0.018

Sample Ba

Aging constructs

No. of cancer survivors

No. of controls

OR (95% CI) per 1 SD increase in aging construct, p-valueb

Model 1c

Model 2c

HannumAccel (SD = 5.22 years)

582

2805

1.24 (1.10, 1.41), p < 0.001

1.22 (1.09, 1.37), p = 0.001

HorvathAccel (SD = 6.39 years)

1.13 (0.98, 1.29), p = 0.079

1.10 (0.97, 1.27), p = 0.117

LevineAccel (SD = 6.77 years)

1.13 (1.00, 1.29), p = 0.050

1.11 (0.97, 1.27), p = 0.122

GrimAgeAccel (SD = 4.65 years)

1.26 (1.10, 1.44), p < 0.001

1.25 (1.07, 1.48), p = 0.005

Zhang Score (SD = 0.45 units)

1.35 (1.17, 1.56), p < 0.001

1.31 (1.12, 1.54), p = 0.001

mPOA (SD = 0.09 years of physiological decline per one chronological year)

1.14 (0.99, 1.31), p = 0.062

1.10 (0.95,1.27), p = 0.195

  1. KDM-BA biological age metric estimated by the Klemera and Doubal method, PhenoAge phenotypic age, SA subjective age, Accel age acceleration, mPOA Dunedin methylation-pace of aging, SD standard deviation, OR odds ratio, CI confidence interval, BMI body mass index, CMV cytomegalovirus.
  2. aSample A included participants who reported their SA and had biomarker measures used to calculate KDM-BA and PhenoAge. Sample B included participants who had data on epigenetic clocks (ECs).
  3. bP-values were calculated from multivariable logistic regression.
  4. cModel 1 was adjusted for chronological age, sex, and race/ethnicity. Model 2 was additionally adjusted for BMI, smoking status, ever drinking, physical activity, comorbidity index, as well as CMV infection. In the analysis of ECs, both models were additionally adjusted for the percentage of monocyte, neutrophil, and lymphocyte. All analyses were accounted for survey weights.
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