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. 2021 Jul 24;11:04035. doi: 10.7189/jogh.11.04035

Table 4.

Logistic regression models estimating associations between number of ACEs and adult CVD outcomes (elevated cholesterol, stroke, hypertension)*

Adult CVD outcomes (n = 545)

Self-reported history of elevated cholesterol
Self-reported history of stroke
Self-reported history of hypertension

Adjusted OR (95% CI)
Adjusted OR (95% CI)
Adjusted OR (95% CI)
Total number of ACEs
1.10 (0.92-1.31)
1.02 (0.85-1.21)
0.96 (0.91-1.02)
Female
1.06 (0.20-5.78)
1.58 (0.35-7.06)
0.75 (0.49-1.20)
Age (years)
1.05 (1.01-1.10)‡
1.01 (0.97-1.06)
1.05 (1.03-1.06)†
Education
1.40 (1.01-1.93)‡
1.07 (0.75-1.51)
0.89 (0.79-1.00)‡
Partnered
0.86 (0.22-3.38)
1.26 (0.75-1.51)
0.89 (0.56-1.41)
Assets
0.66 (0.41-1.05)
0.81 (0.48-1.36)
1.08 (0.96-1.22)
Body mass index 1.28 (1.16-1.42)† 1.03 (0.91-1.17) 1.03 (0.99-1.08)

ACEs – adverse childhood experiences, CI – confidence interval, CVD – cardiovascular disease, OR – odds ratio

*Note: Each column represents the estimated regression coefficients from a single multivariable logistic regression model specifying the column header variable as the outcome and the row variables as the covariates. ‘Total No. ACEs’ represents the total number of adverse childhood experiences out of a maximum of 16. ‘Assets’ indicates the asset index score derived from a principal components analysis applied to an asset inventory of 19 total different household assets and household characteristics.

P < 0.001.

P < 0.05.