[Multivariate response model with multilevel and its application in the influencing factors of blood pressure].
OBJECTIVE
To explore the application of multivariate response model with multilevel in the influencing factors of blood pressure.


METHODS
Two response model with three-level was fitted under MLwin 2.02 software.


RESULTS
The correlation coefficient between systolic blood pressure (SBP) and diastolic blood pressure (DBP) was 0.949 at region level, and 0.701 at individual level. SBP and DBP level increased with age, while the regression coefficient of age on SBP was significantly higher than on DBP, beta was 0.720 (SBP) and 0.118 (DBP) individually (chi2 = 4284.56, P < 0.001). The DBP and SBP level of male were higher than that of female, while the regression coefficient of gender on DBP was significantly higher than on SBP, beta was 2.208 (SBP) and 3.113 (DBP) individually (chi2 = 31.35, P < 0.001).


CONCLUSIONS
Multivariate response model with multilevel can be used to analyze the hierarchy structure data, and it is also a good tool to analyze the influencing factors of blood pressure.
Yang
Yongli
Y
Department of Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Fu
Pengyu
P
Xie
Jing
J
Zhang
Weidong
W
Zhang
Meixi
M
Wang
Chongjian
C
Ping
Zhiguang
Z
Hu
Dongsheng
D
D000328:Adult; D000367:Age Factors; D000368:Aged; D001794:Blood Pressure / Q000502:physiology*; D002681:China; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008954:Models, Biological; D055361:Multilevel Analysis; D015999:Multivariate Analysis