TABLE 4.

Multiple linear regression analysis for LTL.

Model	Variable	Multivariable linear regression analysis
		All (n = 312)	Male (n = 208)	Female (n = 104)
		β or β (95% CI)	β or β (95% CI)	β or β (95% CI)	P	f 2
1	TG	−0.69 (−1.26, −0.11)			0.019*	0.086
2	Lack of exercise		−1.80 (−3.12, −0.49)		0.025*	0.129
	LDL		−3.22 (−6.05, −0.390)		0.026*
3	Sleeping status			−2.00 (−3.96, −0.07)	0.045*	0.176
	Diabetes			−2.13 (−4.10, −0.27)	0.035*

β, regression coefficient; CI, confidence interval; f², Cohen’s effect size.

Predictors in Model 1 were for all stroke patients: adjusted for BMI, smoking status (former or current smokers/never smokers), alcohol drinking status (alcohol drinkers/never or occasionally alcohol drinkers), exercises status (well/poor), sleeping status (well/dyssomnia), HDL, LDL, VLDL, diabetes (yes/no), and hypertension (yes/no).

Predictors in Model 2 were for male stroke patients: adjusted for BMI, smoking status (former or current smokers/never smokers), alcohol drinking status (alcohol drinkers/never or occasionally alcohol drinkers), sleeping status (well/dyssomnia), TG, HDL, VLDL, diabetes (yes/no), and hypertension (yes/no).

Predictors in Model 3 were for female stroke patients: adjusted for BMI, exercises status (well/poor), TG, HDL, LDL, and hypertension (yes/no). *P < 0.05.