The Relationship between High Risk for Obstructive Sleep Apnea and General and Central Obesity: Findings from a Sample of Chilean College Students

Table 2

Linear regression analyses: associations of high OSA risk with anthropometric measurements among 916 college students in Chile.

Model	BMI (kg/m^2)		Waist-to-hip ratio (cm)		Waist circumference (cm)		Hip circumference (cm)
	β (SE)	𝑃 value	β (SE)	𝑃 value	β (SE)	𝑃 value	β (SE)	𝑃 value
Model 1: unadjusted	3.93 (0.54)	<0.0001	0.034 (0.01)	0.0007	9.84 (1.43)	<0.0001	7.30 (1.21)	<0.0001
Model 2: adjusted for demographic factors^a	3.76 (0.54)	<0.0001	0.027 (0.01)	0.0037	8.94 (1.37)	<0.0001	7.03 (1.21)	<0.0001
Model 3: adjusted for demographic & lifestyle factors^b	4.20 (0.58)	<0.0001	0.028 (0.01)	0.0061	9.25 (1.47)	<0.0001	7.37 (1.30)	<0.0001
Model 4: Model 3 + blood pressure^c	3.97 (0.55)	<0.0001	0.026 (0.01)	0.0101	8.59 (1.38)	<0.0001	6.83 (1.24)	<0.0001
Model 5: Model 4 + self-rated health^d	3.25 (0.63)	<0.0001	0.028 (0.01)	0.0193	7.32 (1.54)	<0.0001	5.00 (1.41)	0.0004

aDemographic factors included age (continuous), sex, and education level.
^bLifestyle factors included any physical activity participation, alcohol consumption (within the past year—yes/no), cigarette smoking (never, former, or current), and use of energy drinks (yes/no).
^cContinuous blood pressure variables.
^dSelf-rated health (SRH) was evaluated by asking, “how would you say your health compares to others your age.” Poor SRH = worse than others my age. Good SRH = better or same as others my age.