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. 2024 Jan 20;8(5):1143–1150. doi: 10.1182/bloodadvances.2023012002

Table 4.

Logistic regression models for absenteeism

Missed days
Combined (Adults & Caregivers) Odds Ratio 95% CI Unadjusted P-value Adjusted P-value
Participant type Adult (> 18 y/o) 0.24 (0.11, 0.51) < .005 .005
Education Some college or more 0.51 (0.22, 1.17) .110 .089
Household size 1.26 (1.00, 1.58) .049 .986
Children in home 1.19 (0.93, 1.53) .176
Relationship status Not living with a partner 1.88 (0.71, 4.96) .202 .115
Bills Somewhat or very difficult 1.15 (0.55, 2.39) .717 .290
Adults
Age 1.01 (0.97, 1.06) .68
Sex Male 0.62 (0.21, 1.79) .375
Education Some college or more 0.65 (0.23, 1.88) .428
Household size 0.92 (0.64, 1.31) .626
Children in home 0.93 (0.61, 1.40) .714
Relationship status Not living with a partner 1.53 (0.37, 6.38) .556
Bills Somewhat or very difficult 1.80 (0.60, 5.38) .294
Caregivers
Age 1.03 (0.91, 1.17) .628
Education Some college or more 2.56 (0.54, 12.10) .237
Household size/ 1.22 (0.83, 1.80) .306
Children in home 0.94 (0.63, 1.38) .739
Relationship status Not living with a partner 4.58 (1.04, 20.15) .044
Bills Somewhat or very difficult 0.88 (0.29, 2.63) .817

Unadjusted P-value with univariate logistic regression analysis for all participants and adult participants. Adjusted multivariable logistic regression analysis for all participants.

: statistically significant (P < .05).