| Literature DB >> 29761160 |
Heng Jiang1,2, Xiaojun Xiang3, Wei Hao3, Robin Room1,4, Xiaojie Zhang3, Xuyi Wang3.
Abstract
BACKGROUND: The paper reviews alcohol consumption patterns and alcohol-related social and health issues among 15-29-year old young people in Asian countries, and discusses strategies for preventing and controlling alcohol use and related harms.Entities:
Keywords: Alcohol policy; Alcohol related harm; Alcohol use; Asia; Young people
Year: 2018 PMID: 29761160 PMCID: PMC5941657 DOI: 10.1186/s41256-018-0070-2
Source DB: PubMed Journal: Glob Health Res Policy ISSN: 2397-0642
Fig. 1A flow diagram of article reviewed
Fig. 2Alcohol consumption among males and females aged 15–19 in eight Asian countries in 2010. Alcohol consumption per capita (litres) among male and female 15–19-year olds; countries include China, India, Japan, Malaysia, Mongolia, South Korea, Thailand and Vietnam; 95% Confidence Interval bars are shown; alcohol consumption data in eight Asian countries and elsewhere are available in the WHO’s Global Information System on Alcohol and Health [15]
Fig. 3The prevalence of current drinking among males and females aged 12–24 years in five Asian regions. Prevalence of current alcohol consumption in the last 30 days (current drinking) among males and females 12–24-year olds; countries/regions include Shanghai (China), India, Taiwan (China), Thailand and Hanoi (Vietnam)
Fig. 4The prevalence of current drinking among youth aged 13–19 in selected Asian countries and districts. The prevalence of current drinking among youth both sexes 13–19-year olds in selected Asian countries and districts; the results were abstracted from Global School-based Student Health Surveys [66]
Number and percentage of deaths attributable to alcohol use among males and females aged 15–29 years in selected Asian countries in 2015 (data from the Global Burden of Disease Study 2015 [1])
| Country | Men | Women | ||||
|---|---|---|---|---|---|---|
| 15–19 years | 20–24 years | 25–29 years | 15–19 years | 20–24 years | 25–29 years | |
| China | 4313 (16.6%) | 10,117 (20.3%) | 16,518 (20.6%) | 902 (8.8%) | 1624 (8.9%) | 2314 (7.7%) |
| India | 4752 (6.0%) | 10,148 (8.2%) | 15,317 (10.2%) | 1905 (2.5%) | 2353 (2.4%) | 2814 (2.8%) |
| Japan | 152 (17.5%) | 314 (18.5%) | 335 (16.2%) | 44 (9.9%) | 84 (11.6%) | 103 (10.7%) |
| Malaysia | 82 (6.7%) | 164 (8.1%) | 176 (7.0%) | 13 (2.6%) | 16 (2.6%) | 16 (2.1%) |
| Mongolia | 20 (12.5%) | 62 (18.5%) | 115 (22.4%) | 4 (6.5%) | 8 (6.5%) | 15 (8.8%) |
| South Korea | 117 (20.6%) | 201 (22.1%) | 253 (21.3%) | 30 (11%) | 66 (13.9%) | 77 (12.9%) |
| Thailand | 390 (17.7%) | 819 (20.9%) | 1147 (20.0%) | 77 (9.5%) | 113 (8.9%) | 148 (7.5%) |
| Vietnam | 559 (14.7%) | 1278 (17.9%) | 1462 (17.7%) | 89 (7.8%) | 134 (7.2%) | 141 (6.3%) |
Comparison of “WHO’s five best buys” alcohol policy interventions among eight Asia countries in 2014 [40]
| Policies and interventions | China | India | Japan | South Korea | Malaysia | Mongolia | Thailand | Vietnam | ||
|---|---|---|---|---|---|---|---|---|---|---|
| Restrict access to retailed alcohol | Minimum drinking age | ✘ | 21 or higher in most states | 20 | 19 | 18 | 21 | 20 | 18 | |
| Restrictions for on−/off-premise sales | Hours/days | ✘ / ✘ | Sub national | ✘ / ✘ | ✘ / ✘ | ✔ / ✘ | ✔ / ✔ | ✔ / ✔ | ✘ / ✘ | |
| Places/density | ✔ / ✔ | Sub national | ✘ / ✘ | ✘ / ✘ | ✔ / ✔ | ✔ / ✔ | ✔/ ✘ | ✘ / ✘ | ||
| Raise taxes/prices on alcohol | Alcohol excise or tax | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |
| Legally binding alcohol sales promotion / sponsorship | ✘/ ✘ | ✔ / ✔ | ✘ / ✘ | ✘ / ✘ | ✘ / ✘ | ✔ / ✘ | ✔ / ✔ | ✘ / ✘ | ||
| Enforce bans on alcohol advertising | Advertising / product placement | ✘ / ✘ | ✔ / ✔ | ✔ / ✔ | ✔ / ✘ | ✔ / ✔ | ✔ / ✘ | ✔ / ✔ | ✔ / ✔ | |
| Enforce drink driving laws | Sobriety check-points | ✘ | ✘ | ✔ | ✔ | ✔ | ✘ | ✔ | ✔ | |
| RBT / BAC level | ✔ / 0.02 | ✔ / 0.03 | ✘ / 0.03 | ✘ / 0.05 | ✔ / 0.08 | ✔ / 0.05 | ✘ / 0.05 | ✘ / 0.00 | ||
| Offer brief advice for hazardous drinking | Number of standard drinks | ✘ | ✘ | ✘ | ✘ | ✘ | ✘ | ✔ | ✔ | |
| Alcohol content displayed on containers | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ||
| Health warning labels on advertisements / container | ✘ / ✘ | ✔ / ✔ | ✘ / ✘ | ✘ / ✔ | ✘ / ✘ | ✘ / ✘ | ✔ / ✔ | ✘ / ✘ | ||
“✘” is no such policy and “✔” is yes. “Best buys” are WHO recommended the most cost-effective alcohol policy interventions to tackle harmful use of alcohol
The prevalence of current drinking among young people in eight Asian countries
| Country/region & year | Authors | Sample size | Levels of evidenceg | Age (years) | Prevalence of current drinking (%) | ||
|---|---|---|---|---|---|---|---|
| Male | Female | All | |||||
| WHO Global School-based Student Health Survey (GSHS) | |||||||
| China, Beijing, 2003 | GSHS [ | 2348 | 1 | 13–15 | 17.7 | 8.6 | 13.0 |
| China, Hangzhou, 2003 | GSHS [ | 1802 | 1 | 13–15 | 20.9 | 15.0 | 18.1 |
| China, Wuhan, 2003 | GSHS [ | 1947 | 1 | 13–15 | 19.7 | 9.7 | 14.8 |
| China, Wurumqi, 2003 | GSHS [ | 2918 | 1 | 13–15 | 16.3 | 11.0 | 13.7 |
| Malaysia, 2012 | GSHS [ | 25,507 | 1 | 13–17 | 11.0 | 6.3 | 8.6 |
| Mongolia, 2013 | GSHS [ | 5393 | 1 | 13–17 | 10.8 | 7.1 | 8.9 |
| Thailand, 2015 | GSHS [ | 5894 | 1 | 13–17 | 27.2 | 19.2 | 23.0 |
| Vietnam, 2013 | GSHS [ | 3331 | 1 | 13–17 | 31.3 | 16.5 | 23.7 |
| Other identified studies | |||||||
| China, Taiwan, 1994–96 | Lin et al. [ | 4463 | 3 | 17–20 | – | – | 24.6 |
| China, Beijing and Shanghai, 2001–02 | Cheng et al., [ | 1209 | 3 | 18–34 | – | – | 35.0 |
| China, Taipei, 2006 | Zabin et al., [ | 4354 | 3 | 15–24 | 73.0c | 59.3c | – |
| 56.2e | 38.1e | ||||||
| China, Shanghai, 2006 | Zabin et al., [ | 6299 | 3 | 15–24 | 68.4c | 47.5c | – |
| 48.1e | 21.9e | ||||||
| China, 2009 | Ji et al., [ | 52,150 | 1 | 16–29 | 66.6 | 34.7 | 49.3 |
| China, Hong Kong, 2014–15 | Security Bureau of HK [ | 95,788 | 1 | 10–21 | 21.2 | 19.2 | 20.2 |
| India, 1996–97 | Mohan et al., [ | 7037 | 3 | 15–29 | – | – | 8.9c |
| India, 2003 | Wilsnack et al., [ | 1641 | 3 | 18–34 | 33.8 | 1.8 | – |
| India, 2006 | Parasuraman et al., [ | 73,062 | 1 | 15–24 | 11.0c | 1.0c | – |
| 28.8e | 1.4e | ||||||
| Japan, 1999 | Takaura and Wake [ | 1466 | 3 | 9–17 | 41.8 | 35.1 | 38.4 |
| Japan, 2001 | Wilsnack et al. [ | 575 | 2 | 18–34 | 93.9 | 88.3 | – |
| Japan, 2008 | Takakura [ | 3248 | 3 | 15–18 | 19.9 | 20.2 | – |
| Japan, 2011 | WHO [ | 9778 | 1 | 16–18 | 14.7 | 16.0 | 15.4 |
| South Korea, 2006 | Han et al. [ | 70,486 | 1 | 12–19 | 11.0 | 9.1 | 10.4 |
| South Korea, 2012 | WHO [ | 80,000 | 1 | 13–19 | 22.7 | 15.8 | 19.4 |
| Malaysia, 2011 | Mutalip et al. [ | 21,011 | 2 | 13–29 | – | – | 4.2b |
| Malaysia, 2012 | Yusoff et al. [ | 25,507 | 2 | 12–18 | – | – | 7.5 |
| Mongolia, 2009 | WHO [ | 899 | 1 | 15–24 | – | – | 26.7 |
| Mongolia, 2010 | Demaio et al. [ | 1100 | 3 | 15–24 | – | – | 22.0 |
| Thailand, 2007 | Assanangkornch et al. [ | 6380 | 3 | 12–24 | 17.9a | 7.3a | 12.7 |
| 59.5e | 15.8e | ||||||
| Thailand 2007–08 | Pichainarong and Chaveepojnkamjorn [ | 11,360 | 2 | 10–21 | 12.2 | 5.8 | |
| Thailand, 2010–11 | Lohsoonthorn et al. [ | 2854 | 3 | 18–20 | – | – | 34.2 |
| Vietnam, Hanoi, 2006 | Zabin et al. [ | 6363 | 3 | 15–24 | 65.4c | 28.3c | – |
| 54.6e | 18.8e | ||||||
a12–19 years old; b 13–17 years old; c 15–19 years old; d18–29 years old; e 20–24 years old; f 20–29 years old; GENACIS is the Gender, Alcohol and Culture: An International Study
gThe Oxford 2011 Levels of evidence developed by the Oxford Centre for Evidence-Based Medicine [14] was used to assess the quality of studies in the thematic review
Harm experienced related to alcohol use among young people in eight Asian countries
| Country & authors | Study type & year | Age | Sample size | Harm experiences |
|---|---|---|---|---|
| China | ||||
| Wan et al., 2011 [ | Cross-sectional survey in 6 cities | 12–24 | 17,622 | Alcohol use was significantly positively correlated with deliberate self-harm behaviors among youth. |
| Zhou et al., [ | cross-sectional survey in Shenzhen City | 10–24 | 4138 | None-fatal injuries among young people were significantly correlated with alcohol consumption in the last 12 months |
| India | ||||
| Esser et al., 2015 [ | Household survey interview in 5 cities | 15–24 | 741 | About 23% females and 24% males aged 15–24 years reported experienced 5 or more types of harms due to other’s drinking, including physical, sexual, psychological, financial and social harms. |
| Madhivanan et al., 2014 [ | Cross-sectional survey in Mysore, 2005–06 | 15–30 | 898 | Alcohol use was significantly associated the prevelance of intimate partner physical violence. |
| Nadkarni et al., 2015 [ | Cross-sectional survey in Goa | 16–24 | 3663 | Current alcohol use was significantly associated with physical violence in both young men and women. |
| Japan | ||||
| Higuchi et al., 1994 [ | Cross-sectional survey | 18–29 | 1225 | Drinking alcohol in the past 12 months was significantly associated with experience of social problems. |
| South Korea | ||||
| Han et al., 2009 [ | Nationally representative survey | 12–19 | 71,404 | Heavy drinking were found to be significantly associated with suicidalideation and suicidal attempts among boys and girls |
| Kang et al., 2014 [ | Sixth Korea Youth Risk Behavior | 12–18 | 72,623 | Alcohol consumption was significantly associated with suicide ideation and attempt among adolescents. |
| Park et al., 2010 [ | Household survey, 2005 | 18–39 | 5333, | Volume of alcohol consumption was significantly correlated with suicide ideation among young male and female adults. |
| Seo et al., 2015 [ | Cross-sectional survey 2008–2011 | 19–30 | 1176 | Alcohol consumption volume and frequency were significantly and negatively associated with bone mineral density in young women. |
| So and Park, 2016 [ | Online self-administered questionnaire survey | 12–18 | 74,186 | Alcohol consumption was associated with youth low academic performance. |
| Malaysia | ||||
| Chan et al., 2013 [ | cross-sectional survey 2008–09 | 17–18 | 4581 | Alcohol use was significantly associated with youth suicidal behavior. |
| Manickam et al., 2014 [ | cross-sectional school-based survey 2012 | 12–17 | 25,285 | Adolescents who had used alcohol were more likely to have used substance, experienced injuries and engaged in sexual behaviours. |
| Mutalip et al., 2014 [ | Cross-sectional population-based study 2011 | 12–29 | 746 | Feeling of remorse/guilt after drinking; blackouts; injury to self or others and received abuse from others due to drinking. |
| Mongolia | ||||
| n/a | n/a | n/a | n/a | n/a |
| Thailand | ||||
| Assanangkornchai et al., 2009 [ | Cross-sectional survey, | 10–22 | 50,033 | Alcohol use was significantly associated with a series of risk behaviours among youth, including drug misuse, drink-driving, injuries, physical violence, depression, suicide attempt and unwanted pregnancy. |
| Balogun et al., 2014 [ | Self-administered school-based survey | 12–15 | 2761 | Past 30-day alcohol use and lifetime drunkenness were associated with depression and anxiety-induced sleeplessness among students. |
| Lohsoonthorn et al., 2013 [ | Cross-sectional survey, 2010–11 | 18–22 | 2854 | Alcohol consumption was significantly associated with increased odds of daytime dysfunction and sleepiness. |
| Nakahara et al., 2005 [ | Epidemiology study, injury data from 1998 to 2002 | 20–29 | 4015 | Alcohol use was a significant predictor of fatal motocycle injuries. |
| Tongklao et al., 2014 [ | Cross-sectional survey, 2011–12 | 10–18 | 2267 | Alcohol use before or during riding was significantly associated with motorcycle injuries and risky riding behaviours. |
| Vietnam | ||||
| Diep et al., 2010 [ | Cross-sectional survey in two universities | 18–29 | 619 | 12.3% of the total sample were identified with an AUDIT score of 8 or higher. |
| Diep et al., 2013 [ | Survey intervew on university students | 17–28 | 699 | Among drinking students: 47% of them had experienced negative influence on daliy activities; 8.9% of them reported having had social conflict; 68% of them reported loss of control, acute consequences, withdrawal; 22% of them had a mental health condition and physical illness; 12% of them had a medical health problem. |
| Diep et al., 2015 [ | Cross-sectional survey in 12 universities in 4 province in Vietnam | Mean age 20.1 | 6011 | Students reported experience of physical and amenity harms, including sleep and study disturbances, property damage, being insulted/quarrelling, unwanted sex, being beaten/fighting/pushed/hit, traffic accident/crash due to other’s drinking. |
| MT et al., 2012 [ | Two National Population-Based Surveys -- Survey Assessment of Vietnamese Youth (SAVY 1 & 2) | 14–19 | 4609 in SAVY 1 6508 in SAVY 2 | Alcohol use was significantly associated with experiences of low mood and suicidal behaviors |
| Tho et al. 2007 [ | Cross-sectional survey in Nha Trang City | 14–25 | 880 | Young people who drink alcohol were more likely to be sexually active and to have had unsafe and unprotected sex. |
n/a means no papers or studies were identified within selection critriea
Harm experience among young people studied in eight Asian countries, ranked by the number of studies reporting the harm
| Harm experience | Age and gender | Countries and number of studies (N) |
|---|---|---|
| Deliberate self-harm and suicidal behaviors | 12–24, both sexes | China, Malaysia, South Korea, Thailand and Vietnam (7) |
| Physical violence | 15–24, both sexes | India, Thailand, Vietnam (6) |
| Fatal and none-fatal injuries | 10–24, both sexes | China, Malaysia, Thailand, Vietnam (5) |
| Risky sexual behaviour | 15–24, both sexes | India, Malaysia, Thailand, Vietnam (5) |
| Psychological problem, depressed | 15–24, both sexes | India, Thailand, Vietnam (4) |
| Financial and social harms | 15–24, both sexes | India, Japan, Vietnam (3) |
| Poor academic performance/ study disturbances | 12–18, both sexes | South Korea, Vietnam (2) |
| Low bone mineral density | 19–30, female | South Korea (1) |
| Harm/injury to others | 12–29, both sexes | Malaysia (1) |
| Drug misuse | 10–22, both sexes | Thailand (1) |
| Drink driving | 10–22, both sexes | Thailand (1) |
| Alcohol dependence | 18–29, both sexes | Vietnam (1) |