Your privacy, your choice

We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media.

By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection.

See our privacy policy for more information on the use of your personal data.

for further information and to change your choices.

Skip to main content

Table 3 Stratified analysis the relationship between α-klotho and sleep disorders in older adults

From: Sex-specific association between serum α-klotho levels and sleep disturbances in the elderly: a cross-sectional study

Exposure

Crude model

Model 1

OR

95%CI

P value

OR

95%CI

P value

Smoker

 Q1 (< 620.7)

Ref

  

Ref

  

 Q2 (620.7 to 760.1)

0.78

0.63, 0.97

0.024

0.78

0.62, 0.98

0.031

 Q3 (760.1 to 933.4)

0.98

0.79, 1.21

0.844

1.00

0.79, 0.25

0.968

 Q4 (> 933.4)

0.73

0.59, 0.91

0.004

0.71

0.56, 0.89

0.004

Non-smoker

 Q1 (< 652.17)

Ref

  

Ref

  

 Q2 (652.17 to 805.2)

0.76

0.60, 0.95

0.017

0.78

0.61, 0.99

0.039

 Q3 (805.2 to 989.65)

0.75

0.60, 0.95

0.015

0.79

0.62, 1.00

0.052

 Q4 (> 989.65)

0.84

0.67, 1.05

0.120

0.82

0.64, 1.04

0.105

Alcohol user

 Q1 (< 637.6)

Ref

  

Ref

  

 Q2 (637.67 to 779.1)

0.67

0.54, 0.83

 < 0.001

0.69

0.55, 0.87

0.002

 Q3 (779.1 to 959.7)

0.86

0.70, 1.06

0.158

0.93

0.74, 1.16

0.512

 Q4 (> 959.7)

0.82

0.67, 1.01

0.067

0.83

0.67, 1.04

0.113

Non-alcohol user

 Q1 (< 631.38)

Ref

  

Ref

  

 Q2 (631.38 to 782.5)

0.84

0.67, 1.06

0.144

0.84

0.66, 1.07

0.165

 Q3 (782.5 to 971.83)

0.83

0.65, 1.04

0.107

0.81

0.64, 1.03

0.092

 Q4 (> 971.83)

0.70

0.55, 0.89

0.003

0.67

0.52, 0.86

0.002

  1. Crude model, no covariates were adjusted. Model 1 was adjusted for sex, age, sociodemographic factors (educational attainment, poverty–income ratio, marital status, and race/ethnicity), behavioral factors (BMI, smoking status, alcohol consumption patterns), urinary albumin, urinary creatinine, Vit-D, HDL-C, TC, CHD, CHF, angina, stroke, diabetes mellitus, and hypertension