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Table 2 Logistic regression analysis of the influence of different shift patterns on the incidence of dyslipidaemia in Karamay, Xinjiang from 2013 to 2019

From: The relationships of shift work, hair cortisol concentration and dyslipidaemia: a cohort study in China

Shift Work

Dyslipidaemia

n (%)

Model 1

Model 2

Model 3

Model 4

RR (95%CI)

P

RR (95%CI)

P

RR (95%CI)

P

RR (95%CI)

P

Fixed day shift

220 (26.8)

1.000

 

1.000

 

1.000

 

1.000

 

Two shifts

161 (34.0)

1.408 (1.102–1.798)

0.006

1.465 (1.131–1.897)

0.004

1.461 (1.119–1.908)

0.005

1.341 (1.010–1.781)

0.043

Three shifts

128 (35.1)

1.478 (1.134–1.926)

0.004

1.550 (1.175–2.044)

0.002

1.654 (1.244–2.200)

0.001

1.560 (1.152–2.111)

0.004

Four shifts

187 (36.7)

1.589 (1.253–2.015)

<0.001

1.756 (1.369–2.254)

< 0.001

1.820 (1.408–2.352)

< 0.001

1.782 (1.359–2.336)

< 0.001

  1. Model 1: Represent the association between shift work and dyslipidaemia without the adjustment of confounding factors
  2. Model 2: Adjusted for sex, age, ethnicity, marital status, education level, type of work, length of service, and average monthly income
  3. Model 3: Adjusted for smoking, drinking, physical exercise, and BMI based on Model 2
  4. Model 4: Adjusted for family history of hypertension, coronary heart disease, stroke, and diabetes based on Model 3
  5. RR: relative risk