TABLE 5.

Application of linear regression modeling to analyze the threshold effects of total sugar and total fat intake on sleep disorders in hypertensive patients.

Exposure		Adjusted OR (95% CI) p-value
Total sugars/100	Total (N = 15871)	Inflection point/100	0.59
		Total sugars/100<0.59	0.91 (0.67, 1.22)
		Total sugars/100 ≥ 0.59	1.23 (1.15, 1.32)
		Log likelihood ratio	0.069
	Male (N = 7694)	Inflection point/100	1.65
		Total sugars/100<1.65	1.34 (1.19, 1.50)
		Total sugars/100 ≥ 1.65	1.23 (1.06, 1.44)
		Log likelihood ratio	0.485
	Female (N = 8177)	Inflection point/100	1.4
		Total sugars/100<1.65	0.97 (0.85, 1.10)
		Total sugars/100 ≥ 1.65	1.33 (1.07, 1.65)
		Log likelihood ratio	0.034*
Total fat/100	Total (N = 15,871)	Inflection point/100	1.41
		Total sugars/100<1.41	1.11 (0.99, 1.24)
		Total sugars/100 ≥ 1.41	2.02 (1.40, 2.93)
		Log likelihood ratio	0.004**
	Male (N = 7,694)	Inflection point/100	1.55
		Total sugars/100<1.55	1.27 (1.10, 1.47)
		Total sugars/100 ≥ 1.55	2.04 (1.24, 3.36)
		Log likelihood ratio	0.095
	Female (N = 8177)	Inflection point/100	0.66
		Total sugars/100<0.66	0.75 (0.55, 1.03)
		Total sugars/100 ≥ 0.66	1.27 (1.00, 1.63)
		Log likelihood ratio	0.031*

Gender; Age; Race; Education level; Marital status; PIR; BMI; Total cholesterol.; Alcohol consumption; smoking; Diabetes; Coronary heart disease and stroke were adjusted. 95%CI, 95% confidence interval; OR, odds ratio; *p < 0.05, **p < 0.01, ***p < 0.001; ap < 0.05 was considered statistically significant. Significant values are in bold.