Table 3.
Stratified analyses of association between nocturia and hypertension according to gender, age, race and BMI (Chengdu, China. 2022).
| Subgroup | No. of subjects | OR, 95% CI | P for interaction |
|---|---|---|---|
| Gender | 0.16 | ||
| Male | 14,501 | 1.33 (1.22–1.45) | |
| Female | 15,004 | 1.45 (1.33–1.58) | |
| Age | 0.53 | ||
| 20–39 | 10,002 | 1.45 (1.24–1.69) | |
| 40–59 | 9,582 | 1.42 (1.29–1.58) | |
| ≥60 | 9,921 | 1.28 (1.17–1.40) | |
| Race | 0.58 | ||
| Non-Hispanic white people | 12,996 | 1.32 (1.20–1.44) | |
| Non-Hispanic black people | 6,250 | 1.43 (1.26–1.62) | |
| Mexican American | 4,718 | 1.40 (1.19–1.64) | |
| Others | 5,541 | 1.33 (1.14–1.55) | |
| BMI (kg/m2) | 0.96 | ||
| <25 | 8,451 | 1.38 (1.21–1.58) | |
| 25–29.9 | 10,036 | 1.35 (1.22–1.50) | |
| ≥30 | 11,018 | 1.36 (1.24–1.49) |
Stratified analyses were adjusted for gender, age, race, education level, marital status, PIR, BMI, smoking status, alcohol consumption, diabetes, depression, CVD, cancer, cholesterol, and triglycerides. When a stratified analysis of an independent variable is performed, the independent variable itself is not adjusted.