| Literature DB >> 30781481 |
Ruiyi Liu1,2,3, Li Chen4,5,6, Fan Zhang7,8,9, Rui Zhu10,11,12, Xinjie Lin13, Xuchen Meng14, Huabing Li15,16,17, Xun Lei18,19,20, Yong Zhao21,22,23,24.
Abstract
Background: The volume of alcohol intake and type of alcohol affect Chinese men's health. This study investigated changes of alcohol type between 2004 and 2011, explored the trend of change in alcohol type with age and determined the social demographic factors influencing the alcohol intake of Chinese men.Entities:
Keywords: China; age; alcohol intake; alcohol type; socio-demographic; volume
Mesh:
Year: 2019 PMID: 30781481 PMCID: PMC6406336 DOI: 10.3390/ijerph16040573
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Characteristics of 10,648 participants stratified by the survey year (n, %), CHNS.
| Variable | 2004 | 2006 | 2009 | 2011 | Total | |
|---|---|---|---|---|---|---|
| Residence | Urban | 837 (34.9%) | 810 (34.1%) | 895 (34.6%) | 1321 (40.2%) | 3863 (36.3%) |
| Rural | 1560 (65.1%) | 1565 (65.9%) | 1693 (65.4%) | 1967 (59.8%) | 6785 (63.7%) | |
| Age | 46.70 ± 13.71 | 47.75 ± 13.54 | 48.33 ± 13.92 | 35.34 ± 8.09 | 48.22 ± 13.74 | |
| Marital status | Spinsterhood | 201 (8.4%) | 157 (6.6%) | 180 (7.0%) | 172 (5.2%) | 710 (6.7%) |
| Married | 2090 (87.2%) | 2110 (88.8%) | 2285 (88.3%) | 2939 (89.4%) | 9424 (88.5%) | |
| Other 1 | 106 (4.4%) | 108 (4.5%) | 123 (4.8%) | 177 (5.4%) | 514 (4.8%) | |
| Highest education levels | PSB 2 | 1709 (71.3%) | 1606 (67.7%) | 1817 (70.2%) | 2081 (63.3%) | 7213 (67.7%) |
| SPSG 3 | 557 (23.2%) | 602 (25.3%) | 591 (22.8%) | 769 (23.4%) | 2519 (23.7%) | |
| UA 4 | 131 (5.5%) | 167 (7.0%) | 180 (7.0%) | 438 (13.3%) | 916 (8.6%) | |
| Working status | Yes | 1769 (73.8%) | 1748 (73.6%) | 1921 (74.2%) | 2422 (73.7%) | 7860 (73.8%) |
| No | 628 (26.2%) | 627 (26.4%) | 667 (25.8%) | 866 (26.3%) | 2788 (26.1%) | |
| Tobacco consumption | Yes | 1750 (73.0%) | 1718 (72.3%) | 1807 (69.8%) | 2342 (71.2%) | 7617 (71.5%) |
| No | 647 (27.0%) | 657 (27.7%) | 781 (30.2%) | 946 (28.8%) | 3031 (28.5%) | |
1 Divorce, widowed, separated and unknown; 2 Unfinished primary school and below; 3 Secondary and primary school graduates; 4 University or above.
Distribution of 10,684 males with different alcohol intakes during the survey year (n, %), CHNS.
| Volume of Alcohol Intake | 2004 | 2006 | 2009 | 2011 | Total |
|---|---|---|---|---|---|
| ≤84 g/w | 1065 (44.4%) | 1087 (45.8%) | 1375 (53.1%) | 1811 (55.1%) | 5338 (50.1%) |
| 84.01–168 g/w | 469 (19.6%) | 470 (19.8%) | 515 (19.9%) | 679 (20.7%) | 2133 (20.0%) |
| 168.01–336g/w | 502 (20.9%) | 464 (19.5%) | 429 (16.6%) | 518 (15.8%) | 1913 (18.0%) |
| ≥336.01 g/w | 361 (15.1%) | 354 (14.9%) | 269 (10.4%) | 280 (8.5%) | 1264 (11.9%) |
| Mean ± SD | 181.25 ± 209.77 | 181.53 ± 224.59 | 142.48 ± 181.79 | 129.70 ± 161.27 | 155.97 ± 194.31 |
Notes: g/w means gram/week.
Figure 1Trends in the prevalence of the different types of alcohol consumption amongst male drinkers by survey year, CHNS. ** Statistically significant (p < 0.01).
Figure 2Time trends in the prevalence of alcohol consumption (beer) amongst male drinkers by age groups, CHNS. ** Statistically significant (p < 0.01).
Figure 3Time trends in the prevalence of alcohol consumption (wine) amongst male drinkers by age groups, CHNS. ** Statistically significant (p < 0.01).
Figure 4Time trends in the prevalence of alcohol consumption (liqueur) amongst male drinkers by age groups, CHNS. ** Statistically significant (p < 0.01).
Ordered logistic regression model analysis for the volume of alcohol intake amongst Chinese male drinkers, CHNS.
| Volume of Alcohol Intake 1 | |||||
|---|---|---|---|---|---|
| Survey Year | 2004 | 2006 | 2009 | 2011 | |
| Parameter | OR (95% CI) | OR (95% CI) | OR (95% CI) | OR (95% CI) | |
| Intercept1 | 5.56 (3.60–8.57) | 5.98 (3.75–9.53) | 13.41 (8.38–21.46) | 9.44 (5.91–15.07) | |
| Intercept2 | 12.77 (8.22–19.81) | 13.85 (8.65–22.20) | 33.45 (20.74–54.00) | 24.88 (15.49–39.96) | |
| Intercept3 | 42.18 (26.84–66.29) | 42.78 (26.39–69.27) | 110.61 (67.56–180.91) | 88.15 (54.16–143.31) | |
| Age | — | 1.02 (1.02–2.06) | 1.02 (1.01–2.05) | 1.02 (1.02–2.06) | 1.02 (1.01–2.04) |
| Residence | Rural | 1.22 (1.03–1.44) | 1.21 (1.02–1.42) | 1.13 (0.96–1.33) | 1.51 (1.31–1.75) |
| Urban (ref) | 1.00 | 1.00 | 1.00 | 1.00 | |
| Marital status | Other | 1.35 (0.85–2.16) | 1.35 (0.80–2.27) | 1.18 (0.70–1.99) | 2.02 (1.26–3.25) |
| Married | 1.46 (1.08–1.98) | 1.80 (1.25–2.59) | 1.68 (1.15–2.45) | 1.71 (1.17–2.50) | |
| Single (ref) | 1.00 | 1.00 | 1.00 | 1.00 | |
| Highest education levels | UA 4 | 0.61 (0.43–0.88) | 0.88 (0.64–1.19) | 1.17 (0.86–1.58) | 0.99 (0.80–1.23) |
| SPSG 3 | 1.04 (0.87–1.25) | 0.96 (0.80–1.15) | 0.86 (0.71–1.03) | 0.80 (0.68–0.94) | |
| PSB 2 (ref) | 1.00 | 1.00 | 1.00 | 1.00 | |
| Working status | Yes | 1.14 (0.94–1.37) | 1.29 (1.07–1.56) | 1.76 (1.45–2.14) | 1.35 (1.13–1.61) |
| No (ref) | 1.00 | 1.00 | 1.00 | 1.00 | |
| Tobacco consumption | Yes | 1.73 (1.45–2.05) | 1.59 (1.34–1.89) | 1.85 (1.56–2.19) | 1.63 (1.40–1.90) |
| No (ref) | 1.00 | 1.00 | 1.00 | 1.00 | |
1 Four level variables: ≤ 84 g/w, 84.01–168 g/w, 168.01–336 g/w, ≥ 336.01 g/w. 2 Unfinished primary school and below; 3 Secondary and primary school graduates; 4 University or above.