Table 2.

Associate between BMI categories and Chronic diseases in adult population.

Disease	Total population		Male		Female
	Underweight vs Health OR (95%CI)	Obesity and overweight vs Health OR (95%CI)	Underweight vs Health OR (95%CI)	Obesity and overweight vs Health OR (95%CI)	Underweight vs Health OR (95%CI)	Obesity and overweight vs Health OR (95%CI)
Total	0.8 (0.80.9)	2.0 (2.0-2.0)	0.9 (0.9-0.99)	2.0 (1.9-2.0)	0.8 (0.7-0.8)	1.9 (1.9-2.0)
Hypertension	0.6 (0.5-0.6)	2.5 (2.4-2.5)	0.6 (0.5-0.6)	2.5 (2.4-2.6)	0.5 (0.5-0.5)	2.3 (2.3-2.4)
Diabetes	0.5 (0.5-0.6)	1.9 (1.9-2.0)	0.5 (0.5-0.6)	1.8 (1.8-1.9)	0.5 (0.5-0.6)	1.9 (1.8-2.0)
Ischemic heart disease	0.9 (0.8-0.96)	1.6 (1.5-1.7)	0.8 (0.7-0.9)	1.7 (1.6-1.8)	0.9 (0.8-1.0)	1.5 (1.4-1.6)
Cerebrovascular disease	0.9 (0.8-0.9)	1.3 (1.2-1.4)	0.9 (0.8-0.99)	1.3 (1.2-1.4)	0.8 (0.7-0.9)	1.3 (1.2-1.4)
Liver and gall disease	1.1 (0.96-1.2)	1.2 (1.1-1.3)	1.4 (1.1-1.6)	1.3 (1.1-1.4)	0.9 (0.8-1.1)	1.2 (1.1-1.3)
Chronic respiratory disease	2.0 (1.8-2.1)	0.9 (0.9-0.99)	2.2 (2.0-2.4)	0.8 (0.7-0.9)	1.7 (1.5-1.9)	1.1 (0.99-1.2)
Cancer	2.3 (2.0-2.6)	0.8 (0.8-0.9)	3.1 (2.6-3.6)	0.6 (0.5-0.8)	1.8 (1.5-2.1)	1.0 (0.9-1.1)
Gastrointestinal disease	1.7 (1.6-1.8)	0.7 (0.7-0.8)	1.7 (1.5-1.8)	0.7 (0.6-0.7)	1.7 (1.6-1.9)	0.7 (0.7-0.8)

BMI: Body mass index (calculated as weight in kilograms divided by height in meters squared).

Multiple logistic regression models were constructed to explore the association between BMI categories (obesity & overweight vs. health; underweight vs health) and the total non-communicable disease (NCDs) or each NCD respectively from the pooled data of the two-round survey. The regression models presented odds ratios (ORs) and 95%CIs with adjustment for geographical regions, urbanization, sex, age, marital status, education, employment, smoking, drinking, physical activity and family income quartiles