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Table 3 The severity of two-week illnesses in Tibet in 2018

From: Illness prevalence rate in Tibet, China: data from the 2018 National Health Service Survey

Characteristics

 

a Duration

a Being bedridden

a Being off work

Mean

95% CI

Mean

95% CI

Mean

95% CI

Gender

Male

8.47

(8.13,8.82)

4.53

(3.51,5.54)

1.64

(0.18,3.10)

Female

8.54

(8.27,8.81)

4.43

(3.78,5.07)

2.29

(0.03,4.56)

*Ç‚ Age

15–29

7.41

(6.72,8.10)

3.04

(1.54,4.55)

1.67

(0.21,5.46)

30–44

7.77

(7.36,8.19)

3.40

(2.56,4.25)

2.20

(1.77,6.17)

45–59

8.52

(8.19,8.86)

4.05

(3.19,4.91)

1.94

(0.08,3.80)

60-

9.54

(9.14,9.95)

6.32

(5.14,7.50)

2.17

(0.34,7.74)

*#Ç‚ Residence

Urban

8.18

(7.77,8.59)

4.20

(3.24,5.16)

1.40

(0.12,2.92)

Rural

8.65

(8.41,8.89)

4.59

(3.93,5.25)

2.29

(0.38,4.19)

*Ç‚ Education

Illiterate

9.05

(8.78,9.33)

5.35

(4.55,6.15)

2.58

(0.68,5.85)

Primary school

7.89

(7.51,8.26)

3.55

(2.74,4.36)

1.53

(0.09,2.98)

Junior middle school

7.54

(6.76,8.32)

2.36

(0.76,3.96)

2.00

(0.70,3.30)

High school

8.00

(6.89,9.11)

4.31

(1.95,6.67)

/

/

University and above

7.00

(2.93,11.07)

/

/

/

/

*Economic level

Low

8.45

(8.01,8.89)

3.93

(2.91,4.94)

4.62

(3.36,5.88)

Medium

8.67

(8.38,8.96)

4.92

(4.09,5.75)

2.83

(2.07,3.60)

High

8.28

(7.86,8.70)

4.13

(3.12,5.14)

2.38

(1.43,3.33)

*Marital status

Married

8.33

(8.09,8.56)

3.98

(3.39,4.56)

1.84

(0.48,3.20)

Unmarried

9.10

(8.29,9.91)

4.77

(2.61,6.94)

1.00

(0.12,13.71)

Widow

9.31

(8.69,9.93)

6.54

(4.70,8.38)

6.50

(0.76,8.90)

Divorce

8.10

(6.82,9.39)

4.11

(0.54,7.68)

/

/

Others

10.94

(8.66,13.22)

6.00

(1.93,10.07)

/

/

*Ç‚ Employment status

Employed

8.11

(7.86,8.36)

3.61

(3.02,2.00)

2.00

(0.67,3.33)

Retired

9.74

(8.56,10.92)

3.33

(0.13,6.79)

/

/

Laid-off

10.00

(8.87,11.13)

6.53

(3.25,9.81)

/

/

Unemployed

9.40

(8.95,9.85)

6.17

(5.03,7.32)

/

/

Student

7.63

(3.29,11.96)

/

/

/

/

  1. a: measured in days
  2. *: There were differences in duration among the different groups, p < 0.05
  3. ǂ: There were differences in being bedridden among the different groups, p < 0.05
  4. #: There were differences in the duration of being off work among the different groups, p < 0.05
  5. /: There were no subjects satisfying the grouping condition