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Table 4 Association of Pittsburgh sleep quality assessment index (PSQI) with the single components of MetS

From: Metabolic syndrome is associated with better quality of sleep in the oldest old: results from the “Mugello Study”

 

Linear regression model

PSQI as a continuous variable

B

95% CI

P

Abdominal obesity

− .24

− 1.30 to .81

.651

Hypertriglyceridemia

− 1.21

− 2.55 to .12

.074

Low HDL − cholesterol

.11

− 1.09 to 1.31

.855

High blood pressure

.07

− 1.05 to 1.19

901

High fasting blood glucose

− .23

− 1.43 to .96

.700

 

Logistic regression model

PSQI < 5

OR

95% CI

P

Abdominal obesity

1.36

.72 to 2.57

.339

Hypertriglyceridemia

1.98

.94 to 4.15

.071

Low HDL-cholesterol

1.02

.50 to 2.07

.964

High blood pressure

.78

.41 to 1.48

.451

High fasting blood glucose

1.35

.67 to 2.71

.403

 

Logistic regression model

PSQI ≤ 7

OR

95% CI

P

Abdominal obesity

1.41

.81 to 2.43

.222

Hypertriglyceridemia

1.60

.79 to 3.22

.190

Low HDL-cholesterol

.92

.49 to 1.71

.791

High blood pressure

1.53

.88 to 2.67

.132

High fasting blood glucose

1.46

.78 to 2.72

.239

  1. All the covariates were entered simultaneously into the regression models. The model included all the variables which differed significantly (P < .050) in univariable analyses in Tables 1, and 2 (i.e. age, sex, use of benzodiazepines, platelet antiaggregants, ACE-inhibitors, and beta-blockers, diagnosis of heart failure, Charlson comorbidity score index, albumin, and hemoglobin levels)
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Diabetology & Metabolic Syndrome

ISSN: 1758-5996

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