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Table 4 Results of regression analysis of drinking rate and quantity in Jiangsu province from 2008 to 2018

From: Trends and socioeconomic factors in smoking and alcohol consumption among Chinese people: evidence from the 2008–2018 National Health Service Surveys in Jiangsu Province

Variable

Drinking

Non-excessive drinking

Excessive drinking

OR

95% CI

RRR

95%CI

RRR

95%CI

Demographic factor

 Age, years (ref: 15–45)

  46–59

1.70***

(1.54,1.88)

1.73***

(1.56,1.93)

1.55***

(1.28,1.87)

   ≥ 60

1.41***

(1.23,1.61)

1.53***

(1.33,1.76)

0.87

(0.66,1.15)

 Sex (ref: male)

  Female

0.05***

(0.04,0.05)

0.05***

(0.05,0.06)

0.01***

(0.01,0.02)

 Number of siblings (ref: 1 or 2)

  3 or 4

0.96

(0.88,1.06)

0.98

(0.89,1.08)

0.86

(0.71,1.03)

   ≥ 5

0.94

(0.85,1.03)

0.95

(0.85,1.05)

0.86

(0.70,1.06)

 Marital status (ref: unmarried)

  Married

3.26***

(2.78,3.82)

3.20***

(2.70,3.74)

3.49***

(2.45,4.98)

  Divorced/widowed/other

2.81***

(2.26,3.49)

2.83***

(2.25,3.56)

2.39**

(1.43,3.99)

 Place of residence (ref: urban)

  Rural

1.02

(0.94,1.12)

1

(0.92,1.10)

1.15

(0.95,1.38)

 Social health insurance (ref: no)

  Yes

0.92

(0.75,1.14)

0.93

(0.74,1.17)

0.9

(0.60,1.35)

Socioeconomic status

 Income (ref: very low)

  Low

1.20***

(1.07,1.36)

1.18**

(1.04,1.34)

1.32**

(1.04,1.68)

  Middle

1.31***

(1.16,1.49)

1.30***

(1.14,1.48)

1.42***

(1.11,1.82)

  High

1.36***

(1.19,1.54)

1.33***

(1.16,1.52)

1.51***

(1.16,1.96)

  Very high

1.39***

(1.21,1.60)

1.32***

(1.14,1.53)

1.94***

(1.45,2.60)

 Education (ref: primary school)

  Junior school

0.94

(0.85,1.03)

0.96

(0.86,1.06)

0.82**

(0.67,1.00)

  High school

0.75***

(0.67,0.85)

0.77***

(0.68,0.87)

0.67***

(0.53,0.86)

  University or higher

0.58***

(0.50,0.69)

0.63***

(0.54,0.75)

0.31***

(0.26,0.53)

 Employment status (ref: employed)

  Retired

0.64***

(0.56,0.74)

0.67***

(0.57,0.76)

0.54***

(0.39,0.75)

  Unemployed

0.73***

(0.60,0.89)

0.77**

(0.63,0.96)

0.57***

(0.38,0.84)

 Type of occupation (ref: unskilled labor)

  Skilled labor

0.93

(0.84,1.03)

0.95

(0.86,1.06)

0.81**

(0.66,0.99)

  Unemployed or other

0.88

(0.74,1.06)

0.84*

(0.69,1.02)

1.02

(0.74,1.40)

 Poor or low-security household (ref: no)

  Yes

0.88

(0.71,1.08)

0.85

(0.69,1.06)

1.03

(0.67,1.58)

Health-related factor

 Chronic disease (ref: no)

  Yes

1.01

(0.94,1.12)

0.99

(0.90,1.08)

1.18*

(0.98,1.41)

 Multiple chronic diseases (ref: no)

  Yes

0.73***

(0.63,0.85)

0.76***

(0.65,0.90)

0.49***

(0.33,0.73)

 EQ-5D (ref: complete health)

  Incomplete health

1.05

(0.94,1.18)

1.08

(0.96,1.21)

0.83

(0.63,1.09)

 Health status (ref: excellent)

  Poor (0–40)

0.35***

(0.24,0.52)

0.39***

(0.26,0.58)

0.09**

(0.01,0.66)

  Moderate (41–60)

0.63***

(0.54,0.74)

0.62***

(0.53,0.72)

0.78+

(0.56,1.09)

  Good (41–80)

0.92**

(0.85,0.99)

0.93

(0.86,1.02)

0.85**

(0.72,1.00)

 Physical examination (ref: no)

  Yes

1.05

(0.97,1.13)

1.05

(0.97,1.13)

1.06

(0.90,1.24)

 Physical exercise, no. of times per week (ref: ≥6)

  0

1.10 *

(0.99,1.22)

1.08

(0.97,1.20)

1.25*

(0.99,1.57)

  1 or 2

1.17*

(1.00,1.36)

1.19**

(1.02,1.40)

1

(0.69,1.45)

  3–5

0.91

(0.78,1.05)

0.9

(0.77,1.04)

1

(0.72,1.39)

Wave (ref: 2008)

  2013

2.11***

(1.89,2.36)

2.29***

(2.03,2.59)

1.63***

(1.33,1.99)

  2018

3.29***

(2.94,3.68)

4.13***

(3.66,4.67)

0.83

(0.65,1.05)