Table 3.

Binary logistic regression model of selected factors, including those associated with dyslipidemia, predicting hypertension in men and women

	Men (n = 2402)	Women (n = 570)
Model 1
Age, y	1.06 (1.05–1.07)***	1.08 (1.06–1.11)***
High TG	1.32 (1.09–1.61)**
High LDL‐C	1.26 1.03–1.53)*	1.65 (1.07–2.55)*
High glucose	2.02 (1.60–2.67)***
Overweight	2.11 1.67–2.66)***	2.05 (1.36–3.10)***
Smoking	1.46 (1.21–1.77)***	4.51 (1.48–13.77)**
Drinking
Model 2
Age, y	1.06 (1.05–1.07)***	1.07 (1.05–1.10)***
High TG	1.25 (1.02–1.52)*
High LDL‐C
High glucose	1.90 (1.50–2.41)***
Overweight	1.72 (1.35–2.20)***
Smoking	1.45 (1.20–1.76)***	3.19 (1.04–9.76)*
Drinking
Non‐OSA	1	1
Mild OSA	1.35 (0.87–2.09)	3.31 (1.04–9.76)***
Moderate OSA	1.72 (1.12–2.64)**	3.69 (1.92–7.12)***
Severe OSA	2.39 (1.62–3.53)***	4.82 (2.62–8.862)***
MAI	1.00 (1.00–1.01)*

Values are expressed as odds ratios (95% confidence intervals).

We performed forward binary logistic regression. Model 1 was adjusted for age, high triglycerides (TG), low high‐density lipoprotein cholesterol, high low‐density lipoprotein cholesterol (LDL‐C), high lipoprotein(a), high glucose, overweight, smoking, drinking, and obstructive sleep apnea (OSA) severity.

Microarousal index (MAI) was additionally adjusted for in model 2. Age and MAI are continuous variables; all other variables in the model are categorical.

^* P < .05.

^** P < .01.

^*** P < .001.