Table 5 Binary logistic regression analysis of the influence of lifestyle on CFD

Sex (Female)

0.904

1.02[0.7,1.49]

0.333

0.79[0.5,1.27]

Age(≥ 65)

 < 0.001^*

15.95[6.92,36.75]

 < 0.001^*

8.68[3.64,20.72]

Educational level

 Primary school or below

1.00

1.00

 Junior high school or senior high school

0.025^*

0.64[0.44,0.95]

0.907

1.03[0.65,1.62]

 University or above

0.153

0.49[0.19,1.3]

0.621

1.33[0.43,4.1]

 Married

0.123

0.46[0.17,1.23]

0.348

0.58[0.19,1.8]

Type of work

 Manual labor

1.00

1.00

 Mental labor

 < 0.001^*

0.12[0.04,0.34]

 < 0.001^*

0.12[0.04,0.37]

 Both manual and brain labor

 < 0.001^*

0.4[0.25,0.63]

0.012^*

0.5[0.29,0.86]

 Obesity

0.533

0.75[0.31,1.83]

0.579

0.75[0.28,2.05]

Physical activity level

 Light

1.00

1.00

 Moderate

0.001^*

0.49[0.32,0.75]

0.011*

0.53[0.32,0.87]

 Vigorous

 < 0.001^*

0.15[0.07,0.3]

0.001*

0.26[0.12,0.58]

 Sleep Disorders

 < 0.001^*

2.21[1.5,3.25]

0.01*

1.85[1.16,2.94]

 Smoking

0.043^*

0.51[0.26,0.98]

0.28

0.63[0.27,1.46]

 Drinking

0.202

0.7[0.41,1.21]

0.789

0.91[0.45,1.84]

 ACEI/ARBs use

0.006*

0.59[0.4,0.86]

0.029*

0.61[0.39,0.95]

 Beta-blockers use

0.043*

0.57[0.33,0.98]

0.03*

0.48[0.25,0.93]

 CCBs use

0.772

1.06[0.72,1.56]

0.608

1.14[0.7,1.85]

 Diuretics use

0.905

0.97[0.6,1.58]

0.383

0.77[0.43,1.39]