| Literature DB >> 22908846 |
Richard A Dale1, Marie Hasselberg, Max Petzold, Gunnel Hensing.
Abstract
BACKGROUND: Sweden has had a restrictive alcohol policy, but there are gender and geographical differences in alcohol consumption and injury rates within the country. Whether and how the Swedish alcohol environment influences gender differences in injuries in young people is still unclear. Thus, the aim of this study was to analyse the associations between the local alcohol environment and age- and gender-specific nonfatal injury rates in people up to 24 years in Sweden.Entities:
Mesh:
Year: 2012 PMID: 22908846 PMCID: PMC3489536 DOI: 10.1186/1747-597X-7-36
Source DB: PubMed Journal: Subst Abuse Treat Prev Policy ISSN: 1747-597X
Contextual background of the 14 municipalities in comparison with Sweden
| Annual total population (per 1,000 inhabitants) | 18 (13) | 5 – 49 | 8800 |
| Population of young people (0–24 years) (%) | 33 (1) | 27 – 31 | 31 |
| Population living in the urban area (%) | 68 (12) | 42 – 85 | 80 |
| Children living in a household with social welfare (%) | 6 (2) | 3 – 12 | 18 |
| Density of restaurants and bars licensed to serve alcohol per 10,000 inhabitants | 13 (5) | 8 – 26 | 14 |
| Litres of 100% alcohol sold per 10,000 inhabitants 15 years and older | 4 (1) | 3 – 5 | 5 |
| Driving under the influence of alcohol (per 10,000 inhabitants) | 14 (3) | 9 – 18 | 17 |
| Registered crimes against alcohol laws¥ (per 10,000 inhabitants). | 17 (4) | 11 – 26 | 4 |
| Alcohol intoxication, women 15-24y (per 10,000) | 18 (6) | 10 – 28 | 19 |
| Alcohol intoxication, men 15-24y (per 10,000) | 22 (7) | 10 – 36 | 20 |
| Mean annual fatal injury rate among females (per 10,000) | 4 (1) | 2 – 6 | 3 |
| Mean annual fatal injury rate among males (per 10,000) | 7 (2) | 4 – 10 | 7 |
* Mean is the annual mean from the 14 municipalities and from the years under study (2000–2005). (SD) is the standard deviation from the mean.
** Range is the description of the lowest and the highest mean value from the years 2000 to 2005 between the municipalities under study.
§ Alcohol sold in the Swedish state-owned alcohol retail monopoly.
¥ Crimes against alcohol laws related to production, sale and consumption of illegal alcohol.
Figure 1 Pearson’s correlations coefficient between the four alcohol indicators.
Mean annual nonfatal injury rates by sex and age and age specific sex ratios in the 14 municipalities (2000–2005) with their specific 95% confidence interval
| 0-5 years | 131 | (119 – 144) | 158 | (147 – 169) | 1.2 | (1.2 – 1.3) |
| 6-12 years | 139 | (131 – 148) | 181 | (170 – 192) | 1.3 | (1.2 – 1.4) |
| 13-17 years | 119 | (110 – 129) | 182 | (170 – 194) | 1.5 | (1.5 – 1.6) |
| 18-24 years | 89 | (83 – 95) | 181 | (169 – 194) | 2.1 | (1.9 – 2.2) |
* Mean sex ratio (male rate/female rate).
Figure 2 Mean annual distribution of alcohol outlets and nonfatal injuries in boys aged 13–17 years for each of the studied 14 municipalities (2000–2005). Municipalities are ranked by level of alcohol outlet density.
Figure 3 Mean annual distribution of alcohol outlets and nonfatal injuries in girls aged 13–17 years for each of the studied 14 municipalities (2000–2005). Municipalities are ranked by level of alcohol outlet density.
Pearson’s correlation values based on the 14 municipalities, by indicators of local alcohol environment, nonfatal injuries, age, and sex
| Local alcohol access | 0.0 | 0.3 | −0.2 | 0.2 | 0.1 | 0.4 | 0.2 | 0.2 |
| Per capita alcohol consumption | 0.0 | 0.2 | −0.2 | 0.2 | −0.1 | 0.4 | 0.2 | 0.2 |
| Driving while intoxicated by alcohol | −0.1 | 0.1 | 0.3 | 0.3 | 0.4 | 0.4 | 0.3 | 0.3 |
| Crimes against alcohol laws | 0.2 | 0.2 | 0.6* | 0.5 | 0.6* | 0.6* | 0.3 | 0.3 |
§ = All registered episodes of nonfatal injuries, excluding cases coded as “no-injury found”.
Note: Correlation “0” = no linear association, and correlation “1” or “-1” = strong linear positive or negative association.
*P-value < 0.05.