Table 3.
Conditional logistic regression analysis of the impact of caregiving on health
| Male | Female | |
|---|---|---|
| Adjusted b OR | Adjusted b OR | |
| Outcome variables a | (95% CI) | (95% CI) |
| High blood pressure | 1.27 | 2.16 |
| (0.34, 4.66) | (1.14, 4.08) | |
| eGFR < 60 | 0.50 | 6.54 |
| (0.02, 16.68) | (2.38, 17.91) | |
| Dyslipidemia | 1.04 | 0.75 |
| (0.26, 4.21) | (0.44, 1.27) | |
| Liver function disorder | 0.5 | 0.58 |
| (0.07, 3.34) | (0.26, 1.29) | |
| Hyperuricemia | 0.92 | 0.39 |
| (0.08, 9.99) | (0.03, 5.99) | |
| Hyperglycemia | 2.67 | 1.10 |
| (0.16, 45.34) | (0.06, 19.97) |
eGFR: estimated glomerular filtration rate; OR: Odd Ratio; CI: Confidence Interval; non-caregivers were the reference group.
ORs and 95% CIs were calculated using conditional logistic regression analysis.
aFor all analyses, caregiver1.
bAdjusted for years’ education, household income, work status, marital status, a history of locomotive syndrome, body mass index, menopause (only among females), smoking, alcohol, exercise, sleep disorder, depression (K6), pain, indefinite complaints, and a history of high blood pressure (only for eGFR)