Table 3 Factors associated with blood pressure measurement among the hypertensive elderly in Shandong, China, 2013
Model 1 | P | Model 2 | P | Model 3 | P | |
|---|---|---|---|---|---|---|
OR (95% CI) | OR (95%CI) | OR (95%CI) | ||||
Residence | ||||||
Urban | 1.0 | 1.0 | 1.0 | |||
Rural | 0.292(0.250–0.341) | < 0.001 | 0.459(0.376–0.562) | < 0.001 | 0.467(0.380–0.575) | < 0.001 |
Age | ||||||
65–69 | 1.0 | 1.0 | ||||
70–74 | 1.062(0.865–1.303) | 0.566 | 1.046(0.849–1.289) | 0.672 | ||
75–79 | 0.963(0.769–1.206) | 0.743 | 1.002(0.795–1.262) | 0.987 | ||
≥ 80 | 0.839(0.655–1.075) | 0.165 | 0.834(0.647–1.075) | 0.162 | ||
Gender | ||||||
Male | 1.0 | 1.0 | ||||
Female | 1.053(0.884–1.254) | 0.563 | 1.046(0.874–1.251) | 0.626 | ||
Marital status | ||||||
Single | 1.0 | 1.0 | ||||
Married | 1.187(0.977–1.441) | 0.084 | 1.236(1.013–1.508) | 0.037 | ||
Education level | ||||||
No formal education | 1.0 | 1.0 | ||||
Primary education | 1.098(0.892–1.352) | 0.376 | 1.135(0.917–1.405) | 0.244 | ||
Secondary or above | 1.397(1.093–1.786) | 0.008 | 1.485(1.154–1.911) | 0.002 | ||
Personal income (RMB) | ||||||
0~2500 | 1.0 | 1.0 | ||||
2500~5000 | 0.940(0.727–1.215) | 0.636 | 0.935(0.719–1.216) | 0.616 | ||
5000~10,000 | 1.290(1.005–1.655) | 0.045 | 1.274(0.987–1.644) | 0.063 | ||
10,000~20,000 | 1.742(1.331–2.279) | < 0.001 | 1.589(1.206–2.093) | 0.001 | ||
≥ 20,000 | 1.779(1.304–2.428) | < 0.001 | 1.621(1.179–2.229) | 0.003 | ||
Self-rated health | ||||||
Bad | 1.0 | 1.0 | ||||
Moderate | 0.965(0.808–1.152) | 0.691 | 0.877(0.730–1.053) | 0.159 | ||
Good | 0.973(0.778–1.217) | 0.812 | 0.883(0.702–1.111) | 0.289 | ||
Medication frequency | ||||||
On time | 1.0 | |||||
Occasional | 0.503(0.400–0.633) | < 0.001 | ||||
Never | 0.371(0.243–0.566) | < 0.001 | ||||
BPa level currently | ||||||
Abnormal/unsure | 1.0 | |||||
Normal | 1.292(1.095–1.526) | 0.002 | ||||
Accepting health care professionals’ guidance | ||||||
Yes | 1.0 | |||||
No | 0.579(0.484–0.693) | < 0.001 | ||||