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Table 3 Changes in drinking status by socio-demographic characteristics and health factors among men from baseline to resurvey

From: Patterns and trends of alcohol consumption in rural and urban areas of China: findings from the China Kadoorie Biobank

Characteristics*

N

Non-drinkers (abstainers, ex-weekly drinkers) at baseline^

Drinkers (reduced-intake, occasional and weekly drinkers) at baseline#

Stable non-drinker %

Starter %

Stable drinker %

Stopper %

Decreased-intake drinker %

Increased-intake drinker %

All men

9569

18.3

4.2

40.0

22.9

8.2

6.3

Socio-demographic characteristics

Birth cohorts

 < 1940

1106

33.0

4.3

24.0

30.6

3.9

4.3

 1940–1949

2311

23.1

4.3

32.4

28.3

6.9

5.2

 1950–1959

3149

16.3

3.8

43.7

22.1

8.2

6.0

 1960–1969

2632

11.3

4.6

47.3

18.1

10.7

8.0

 ≥ 1970

371

8.3

3.7

50.3

16.0

11.7

10.0

Area

 Rural

5433

21.9

4.3

36.3

24.5

6.9

6.1

 Urban

4136

13.6

4.1

44.8

20.9

10.0

6.6

Highest education

 Primary or below

4076

20.1

4.2

36.9

24.1

8.6

6.1

 Middle or above

5493

16.7

3.9

42.1

22.5

8.4

6.4

Household income (yuan/year)

 < 35,000

3573

21.5

3.9

37.0

23.9

6.8

7.0

 35,000+

5996

16.8

4.4

40.8

22.9

8.9

6.2

Health factors

Self-reported health statusa

 Good

4498

16.7

4.4

43.2

20.0

8.4

7.3

 Poor

5071

19.9

4.0

37.0

25.6

8.1

5.4

Prior diseaseb

 No

6533

17.0

3.9

42.6

21.3

8.5

6.7

 Yes

3036

21.4

5.1

34.3

26.4

7.6

5.1

Risk factor index scorec

 0

469

18.1

5.4

36.7

25.5

7.9

6.3

 1

1962

18.3

4.6

36.8

24.9

9.6

5.8

 2

3559

18.4

4.7

40.1

23.0

7.4

6.4

 3+

3579

17.4

3.5

43.1

21.1

8.2

6.7

  1. Prevalence at subgroup levels is adjusted for age and regions as appropriate
  2. *Except for age and regions, characteristics were based on the characteristics of the participants collected at the resurvey
  3. ^Among baseline non-drinkers, associations between change in drinking status and factors were tested by logistic regression adjusting for age and region: p < 0.001 for trend across birth cohorts and p < 0.02 for heterogeneity across regions, income and self-reported health
  4. #Among baseline drinkers, associations between change in drinking status and factors were tested by multinomial logistic regression adjusting for age and region: p < 0.02 across all variables except education
  5. aPoor self-reported health status include those who reported fair or poor self-rated health; Good self-reported health status include those who reported good or excellent self-rated health
  6. bDiagnosed with one or more of: coronary heart disease, stroke, transient ischaemic attack, diabetes, cancer, tuberculosis, chronic hepatitis/cirrhosis, rheumatoid arthritis, peptic ulcer, chronic respiratory disease, gallstone/gallbladder disease, kidney disease
  7. cDerived by summing the individual scores of each of the four risk factors (0 if no, 1 if yes): regular smoking, lack of daily fruit intake, hypertension, low physical activity