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Table 3 Linear regression analyses between characteristics of overall population and psychological distress in the final modela

From: Psychological distress and associated factors among kidney transplant recipients and living kidney donors during COVID-19

 

Final model (Model 4b)

Demographic variables

Age

 21–49 (n = 152)

Ref

 50 and above (n = 345)

−1.30 (− 2.33 to − 0.27)

Gender

 Men (n = 325)

Ref

 Women (n = 172)

0.26 (− 0.64 to 1.17)

Ethnicity

 Chinese (n = 390)

Ref

 Malay (n = 66)

−2.03 (− 3.39 to − 0.68)

 Indian (n = 22)

−0.65 (− 2.84 to 1.53)

 Others (n = 19)

−2.85 (−5.52 to − 0.18)

Marital status

 Married (n = 372)

Ref

 Others (n = 125)

1.09 (0.04 to 2.14)

Resident status in Singapore

 Singapore citizen (n = 472)

Ref

 Non-Singapore citizen (n = 25)

5.02 (2.58 to 7.46)

Health status during COVID-19 Pandemic

General health condition (self-reported health)

 Poor or fair (n = 99)

Ref

 Good, very good or excellent (n = 407)

−2.14 (−3.34 to − 0.94)

Doctor consultations in a clinic or emergency department since Feb 2020

Never (n = 324)

Ref

Once or more (n = 173)

0.98 (0.04 to 1.92)

Symptoms reported (Y/N)

 No symptoms (n = 391)

Ref

 Symptomatic (n = 106)

1.23 (0.10 to 2.36)

COVID-19 impact on other aspects of lifec

 Are you worried about the health of your household members during the COVID-19 Pandemic?

0.84 (0.27 to 1.41)

 Are you worried about your mental health during the COVID-19 Pandemic?

1.56 (0.72 to 2.41)

 Are you worried that you may feel lonely and isolated during the COVID-19 Pandemic?

2.28 (1.36 to 3.20)

Knowledge levels about COVID-19

Knowledge levels about COVID-19

Precautionary measures taken during COVID-19d

 How often do you wash your hands after you cough, sneeze or rub your nose?

−0.84 (−1.48 to − 0.20)

Availability of health informatione

Do you think the information you receive about COVID-19 situation in Singapore is enough?

 No (n = 170)

Ref

 Yes (n = 312)

−1.97 (−3.41 to − 0.53)

  1. aData are expressed as beta-coefficients (95% confidence interval) from linear regression models
  2. bThe final model (Model 4) was the parsimonious model comprised all factors in model 3 (as shown in Supplemental Table S1) and used forward selection method (P < 0.05)
  3. cOne missing value
  4. dFour missing values
  5. eSix missing values