Effect of BMI and Its Optimal Cut-Off Value in Identifying Hypertension in Uyghur and Han Chinese: A Biethnic Study from the China National Health Survey (CNHS)

Table 2

Logistic regression models to estimate the odds ratios between BMI and hypertension in Uyghur and Han adults in China, 2013.

	Model 1						Model 2
	Overweight			Obesity			Overweight			Obesity
	OR	95% CI		OR	95% CI		OR	95% CI		OR	95% CI
Overall	2.65	2.27	3.10	6.15	5.02	7.53	2.70	2.28	3.19	6.62	5.26	8.33
Uyghur	2.88	2.23	3.71	6.56	4.88	8.83	2.67	2.00	3.57	6.04	4.29	8.51
Han	2.66	2.18	3.25	7.05	5.18	9.61	2.74	2.20	3.40	7.58	5.37	10.69
Male	2.60	2.06	3.27	6.24	4.43	8.77	2.42	1.87	3.11	6.23	4.25	9.14
Uyghur	2.71	1.87	3.94	5.54	3.31	9.27	2.36	1.54	3.62	4.64	2.58	8.33
Han	2.63	1.96	3.53	7.65	4.79	12.23	2.50	1.81	3.45	8.49	4.98	14.46
Female	2.59	2.10	3.20	5.92	4.58	7.65	2.68	2.12	3.39	6.03	4.47	8.14
Uyghur	2.93	2.06	4.16	6.95	4.78	10.11	2.78	1.86	4.15	6.87	4.42	10.69
Han	2.54	1.93	3.35	5.95	3.92	9.05	2.77	2.05	3.72	6.71	4.24	10.63

In Model 1, only age and sex were adjusted. In Model 2, covariates were selected differently based on varied logistic regression models. For the overall model, ethnicity, sex, age, residential areas, educational attainment, family history of hypertension, smoking status, alcohol drinking, physical activity, FPG and TC were adjusted. For male and female adults, covariates were included separately in the model except sex. The ethnic- and sex-specific logistic model included covariates except ethnicity and sex. For female participants, smoking status and alcohol drinking were not included as covariates because of the limited number. Age was set as continuous covariate, and other variables were set as indicators.
reference group=under/normal group.