| Literature DB >> 35010665 |
Lanyan Ding1, Baoping Song1, Chengli Wu1, Ian M Newman2, Lok-Wa Yuen2, Ling Qian3, Botao Wang1, Wenjuan Zhang1, Ping Wei1.
Abstract
In China, approximately 70% of beverage alcohol is consumed in the form of spirits. An estimated 25% of all alcohol consumed is unrecorded, mostly spirits (bai jiu), produced outside regulatory systems in small neighborhood distilleries, mostly in rural areas. Unrecorded bai jiu drinkers are generally older, male, prefer higher-strength bai jiu, and drink daily and mostly at home. To explore possible regional differences, researchers used interview data from 2919 bai jiu drinkers in rural areas in Hebei, Anhui, and Hubei provinces in China. Results confirmed that patterns varied by province. The sample in Hubei preferred unrecorded bai jiu with a more stable preference to alcohol type, tended to drink less frequently, and reported experiencing less drinking pressure, suggesting lower-risk drinking patterns in this region. The Hebei and Anhui sample reported higher frequency and greater amount of alcohol consumption, were more likely to experience drinking pressure, indicating higher-risk patterns in alcohol use in these two regions. The results provide needed details about regional differences in unrecorded bai jiu drinking patterns that are not evident in aggregated data and suggest variations in drinking patterns that may reflect local geography, local values, traditions, and ethnic differences.Entities:
Keywords: alcohol preferences; bai jiu; distilled spirits; drinking patterns; grain spirits; noncommercial alcohol; unrecorded alcohol
Mesh:
Substances:
Year: 2021 PMID: 35010665 PMCID: PMC8744588 DOI: 10.3390/ijerph19010405
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1A map indicating the location of Anhui, Hebei, and Hubei in China. This map is provided by Shanghai Baotu Internet Techonology Company with an authorization [16].
Demographic characteristics of unrecorded and recorded bai jiu drinkers.
| ANHUI | HEBEI | HUBEI | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Unrecorded | Recorded | Unrecorded | Recorded | Unrecorded | Recorded | ||||||||||
|
| % |
| % | χ2 |
| % |
| % | χ2 |
| % |
| % | χ2 | |
|
| 3.73 | 2.39 | 1.07 | ||||||||||||
| Female | 62 | 18.40 | 140 | 23.85 | 21 | 19.27 | 115 | 13.74 | 97 | 11.01 | 14 | 8.33 | |||
| Male | 275 | 81.60 | 447 | 76.15 | 88 | 80.73 | 722 | 86.26 | 784 | 88.99 | 154 | 91.67 | |||
|
| 86.26 *** | 70.14 *** | 17.23 ** | ||||||||||||
| <30 | 16 | 4.75 | 44 | 7.50 | 4 | 3.67 | 165 | 19.71 | 32 | 3.63 | 12 | 7.14 | |||
| 30–39 | 32 | 9.50 | 107 | 18.23 | 3 | 2.75 | 170 | 20.31 | 111 | 12.60 | 37 | 22.02 | |||
| 40–49 | 55 | 16.32 | 204 | 34.75 | 20 | 18.35 | 192 | 22.93 | 268 | 30.42 | 50 | 29.76 | |||
| 50–59 | 86 | 25.52 | 116 | 19.76 | 37 | 33.94 | 174 | 20.79 | 259 | 29.40 | 39 | 23.21 | |||
| ≥60 | 148 | 43.92 | 116 | 19.76 | 45 | 41.28 | 136 | 16.26 | 211 | 23.95 | 30 | 17.86 | |||
|
| 48.63 *** | 37.42 *** | 19.78 ** | ||||||||||||
| Illiterate | 89 | 26.41 | 90 | 15.33 | 18 | 16.51 | 64 | 7.64 | 29 | 3.29 | 16 | 9.52 | |||
| Primary or below | 118 | 35.01 | 138 | 23.51 | 41 | 37.61 | 164 | 19.59 | 190 | 21.57 | 44 | 26.19 | |||
| Junior high | 104 | 30.86 | 252 | 42.93 | 39 | 35.78 | 386 | 46.12 | 407 | 46.20 | 61 | 36.31 | |||
| Senior high/technical | 23 | 6.82 | 99 | 16.87 | 11 | 10.09 | 177 | 21.15 | 232 | 26.33 | 46 | 27.38 | |||
| College or above | 3 | 0.89 | 8 | 1.36 | 0 1 | 0.00 | 46 | 5.50 | 23 | 2.61 | 1 | 0.60 | |||
|
| 47.73 *** | 35.96 *** | 9.39 ** | ||||||||||||
| Agriculture | 269 | 79.82 | 316 | 53.83 | 78 | 71.56 | 390 | 46.59 | 647 | 73.44 | 131 | 77.98 | |||
| Service worker | 25 | 7.42 | 117 | 19.93 | 8 | 7.34 | 138 | 16.49 | 120 | 13.62 | 15 | 8.93 | |||
| Construction | 20 | 5.93 | 38 | 6.47 | 8 | 7.34 | 65 | 7.77 | 43 | 4.88 | 10 | 5.95 | |||
| Local worker | 16 | 4.75 | 40 | 6.81 | 3 | 2.75 | 80 | 9.56 | 23 | 2.61 | 9 | 5.36 | |||
| Others | 7 | 2.08 | 76 | 12.95 | 12 | 11.01 | 164 | 19.59 | 48 | 5.45 | 3 | 1.79 | |||
Notes. ** p < 0.01, *** p < 0.001. The small cell sizes are included throughout for the purpose of describing this sample, but small cell size makes the chi-square (χ2) unreliable. 1 The chi-square for education in Hebei was not calculated because there were no participants with college or higher education.
Two-level logistic regression model of the effect of province on unrecorded bai jiu drinking.
|
| SE | Odds Ratio | 95% CI |
| |
|---|---|---|---|---|---|
| Random Intercept | −0.18 | 0.66 | 0.83 | (0.23, 3.06) | |
|
| |||||
| Anhui | −2.90 | 0.68 | 0.06 | (0.01, 0.21) | *** |
| Hebei | −4.52 | 0.68 | 0.01 | (0.00, 0.04) | *** |
|
| 0.03 | 0.15 | 1.03 | (0.77, 1.38) | |
|
| 0.05 | 0.01 | 1.05 | (1.04, 1.06) | *** |
|
| 0.02 | 0.07 | 1.02 | (0.89, 1.17) |
Notes. *** p < 0.001. CI = confidence interval. Recorded bai jiu drinker was the reference category of the outcome in this model. Anhui and Hebei were dummy variables for province with Hubei as the reference group. Male was a dummy variable for sex, with female as the reference group. Age and education were treated as continuous variables. This model was also controlled for occupation, which was dummy coded with agriculture workers as the reference group.
Two-level multinomial logistic regression model of the effect of unrecorded bai jiu drinker and province on usual drinking frequency.
|
| SE | Odds Ratio | 95% CI |
| |
|---|---|---|---|---|---|
| Random Intercept | −3.91 | 0.41 | 0.02 | (0.01, 0.05) | *** |
|
| 1.26 | 0.14 | 3.52 | (2.68, 4.61) | *** |
|
| |||||
| Anhui | 0.02 | 0.24 | 1.03 | (0.64, 1.63) | |
| Hebei | 0.29 | 0.24 | 1.34 | (0.83, 2.17) | |
|
| 1.92 | 0.16 | 6.83 | (4.96, 9.41) | *** |
|
| 0.04 | 0.00 | 1.04 | (1.03, 1.05) | *** |
|
| −0.20 | 0.06 | 0.82 | (0.72, 0.92) | ** |
| Random Intercept | −1.48 | 0.41 | 0.23 | (0.10, 0.51) | *** |
|
| 0.84 | 0.14 | 2.31 | (1.76, 3.04) | *** |
|
| |||||
| Anhui | 0.39 | 0.23 | 0.68 | (0.43, 1.07) | |
| Hebei | 1.13 | 0.25 | 0.32 | (0.20, 0.53) | *** |
|
| 1.68 | 0.16 | 5.34 | (3.91, 7.30) | *** |
|
| 0.00 | 0.00 | 1.00 | (1.00, 1.01) | |
|
| −0.17 | 0.06 | 0.85 | (0.75, 0.96) | * |
Notes. * p < 0.05; ** p < 0.01; *** p < 0.001. CI = confidence interval. Unrecorded bai jiu drinker was a dummy variable for drinking with recorded bai jiu drinker as the reference group. Anhui and Hebei were dummy variables for province with Hubei as the reference group. Male was a dummy variable for sex, with female as the reference group. Age and education were treated as continuous variables. This model was also controlled for occupation, which was dummy coded with agriculture workers as the reference group.
Two-level linear regression model of the effect of unrecorded bai jiu drinker and province on the quantity of bai jiu consumed on daily drinking occasions.
|
| SE | 95% CI |
| |
|---|---|---|---|---|
| Random intercept | 2.24 | 0.33 | (1.60, 2.89) | *** |
|
| −0.10 | 0.11 | (−0.31, 0.10) | |
|
| ||||
| Anhui | −0.06 | 0.23 | (−0.52, 0.40) | |
| Hebei | 0.34 | 0.24 | (−0.13, 0.81) | |
|
| 1.48 | 0.11 | (1.26, 1.69) | *** |
|
| −0.02 | 0.00 | (−0.02, −0.01) | *** |
|
| 0.12 | 0.05 | (0.02, 0.21) | ** |
Notes. ** p < 0.01; *** p < 0.001. CI = confidence interval. Unrecorded bai jiu drinker was a dummy variable for drinking with recorded bai jiu drinker as the reference group. Anhui and Hebei were dummy variables for province with Hubei as the reference group. Male was a dummy variable for sex, and female was the reference group. Age and education were treated as continuous variables. This model was also controlled for occupation, which was dummy coded with agriculture workers as the reference group.
Two-level linear regression model of the effect of unrecorded bai jiu drinker and province on the quantity of bai jiu consumed on memorable occasions.
|
| SE | 95% CI |
| |
|---|---|---|---|---|
| Random Intercept | 1.77 | 0.53 | (0.74, 2.80) | *** |
|
| −0.22 | 0.15 | (−0.52, 0.08) | |
|
| ||||
| Anhui | 0.94 | 0.43 | (0.09, 1.79) | * |
| Hebei | 1.99 | 0.44 | (1.12, 2.85) | *** |
|
| 2.10 | 0.16 | (1.79, 2.42) | *** |
|
| −0.02 | 0.01 | (−0.03, −0.01) | *** |
|
| 0.21 | 0.07 | (0.07, 0.35) | *** |
Notes. * p < 0.05; *** p < 0.001. CI = confidence interval. Unrecorded bai jiu drinker was a dummy variable for drinking with recorded bai jiu drinker as the reference group. Anhui and Hebei were dummy variables for province with Hubei as the reference group. Male was a dummy variable for sex, with female as the reference group. Age and education were treated as continuous variables. This model was also controlled for occupation, which was dummy coded with agriculture workers as the reference group.
Two-level logistic regression model of the effect of unrecorded bai jiu drinker and province on strength of alcohol consumed on memorable occasions.
|
| SE | Odds Ratio | 95% CI |
| |
|---|---|---|---|---|---|
| Random Intercept | 1.80 | 0.67 | 6.02 | (1.60, 22.60) | ** |
|
| 0.47 | 0.14 | 1.60 | (1.22, 2.11) | ** |
|
| |||||
| Anhui | −1.74 | 0.72 | 0.18 | (0.04, 0.72) | * |
| Hebei | −3.03 | 0.72 | 0.05 | (0.01, 0.20) | *** |
|
| 0.38 | 0.14 | 1.47 | (1.11, 1.95) | ** |
|
| 0.01 | 0.00 | 1.01 | (1.00, 1.02) | |
|
| −0.01 | 0.06 | 0.99 | (0.88, 1.12) |
Notes. * p < 0.05; ** p < 0.01; *** p < 0.001. CI = confidence interval. Consuming low-strength bai jiu was the reference category of the outcome in this model. Unrecorded bai jiu drinker was a dummy variable for drinking with recorded bai jiu drinker as the reference group. Anhui and Hebei were dummy variables for province with Hubei as the reference group. Male was a dummy variable for sex, with female as the reference group. Age and education were treated as continuous variables. This model was also controlled for occupation, which was dummy coded with agriculture workers as the reference group.
Two-level logistic regression model of the effect of unrecorded bai jiu drinker and province on stability of alcohol type preference.
|
| SE | Odds Ratio | 95% CI |
| |
|---|---|---|---|---|---|
| Random Intercept | 1.06 | 0.37 | 2.89 | (1.40, 5.96) | ** |
|
| −1.41 | 0.12 | 0.25 | (0.19, 0.31) | *** |
|
| |||||
| Anhui | −0.62 | 0.26 | 0.54 | (0.32, 0.91) | * |
| Hebei | −0.78 | 0.27 | 0.46 | (0.27, 0.78) | ** |
|
| 0.43 | 0.12 | 1.53 | (1.21, 1.94) | *** |
|
| 0.02 | 0.00 | 1.02 | (1.01, 1.03) | *** |
|
| −0.18 | 0.05 | 0.84 | (0.75, 0.93) | ** |
Notes. * p < 0.05; ** p < 0.01; *** p < 0.001. CI = confidence interval. Choosing other alcohol types was the reference category of the outcome in this model. Unrecorded bai jiu drinker was a dummy variable for drinking, and recorded bai jiu drinker was the reference group. Anhui and Hebei were dummy variables for province, and Hubei was the reference group. Male was a dummy variable for sex, and female was the reference group. Age and education were treated as continuous variables. This model was also controlled for occupation, which was dummy coded with agriculture workers as the reference group.
Two-level logistic regression model of the effect of unrecorded bai jiu drinker and province on being pushed to drink.
|
| SE | Odds Ratio | 95% CI |
| |
|---|---|---|---|---|---|
| Random Intercept | −2.49 | 0.38 | 0.08 | (0.04, 0.17) | *** |
|
| 0.50 | 0.11 | 1.64 | (1.31, 2.06) | *** |
|
| |||||
| Anhui | 1.06 | 0.29 | 2.88 | (1.62, 5.13) | *** |
| Hebei | 0.80 | 0.30 | 2.24 | (1.25, 4.01) | ** |
|
| 0.82 | 0.12 | 2.27 | (1.80, 2.86) | *** |
|
| −0.01 | 0.00 | 0.99 | (0.99, 1.00) | |
|
| 0.43 | 0.05 | 1.54 | (1.39, 1.71) | *** |
Note. ** p < 0.01; *** p < 0.001. CI = confidence interval. Not being pushed to drink was the reference category of the outcome in this model. Unrecorded bai jiu drinker was a dummy variable for drinking with recorded bai jiu drinker as the reference group. Anhui and Hebei were dummy variables for province, with Hubei as the reference group. Male was a dummy variable for sex, with female as the reference group. Age and education were treated as continuous variables. This model was also controlled for occupation, which was dummy coded with agriculture workers as the reference group.
Two-level logistic regression model of the effect of unrecorded bai jiu drinker and province on pushing others to drink.
|
| SE | Odds Ratio | 95% CI |
| |
|---|---|---|---|---|---|
| Random Intercept | −1.85 | 0.36 | 0.16 | (0.08, 0.32) | *** |
|
| 0.45 | 0.12 | 1.56 | (1.25, 1.96) | *** |
|
| |||||
| Anhui | 0.77 | 0.27 | 2.17 | (1.28, 3.67) | ** |
| Hebei | 0.56 | 0.27 | 1.75 | (1.03, 3.00) | * |
|
| 0.81 | 0.13 | 2.25 | (1.75, 2.89) | *** |
|
| −0.02 | 0.00 | 0.98 | (0.98, 0.99) | *** |
|
| 0.25 | 0.05 | 1.28 | (1.16, 1.42) | *** |
Note. * p < 0.05; ** p < 0.01; *** p < 0.001. CI = confidence interval. Not pushing others to drink was the reference category of the outcome in this model. Unrecorded bai jiu drinker was a dummy variable for drinking with recorded bai jiu drinker as the reference group. Anhui and Hebei were dummy variables for province, with Hubei as the reference group. Male was a dummy variable for sex, with female as the reference group. Age and education were treated as continuous variables. This model was also controlled for occupation, which was dummy coded with agriculture workers as the reference group.