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1.
BMC Public Health ; 20(1): 277, 2020 Mar 13.
Article in English | MEDLINE | ID: mdl-32164635

ABSTRACT

BACKGROUND: Previous studies on lifestyle risk factors mainly focused on age- or gender-specific differences. However, lifestyle risk factors also vary across regions. Aim of the present study was to examine the extent to which prevalence rates of SNAP (smoking, nutrition, alcohol consumption, physical activity) vary between East and West Germany or North and South Germany. METHODS: Data came from the population-representative 2015 Epidemiological Survey of Substance Abuse (ESA) comprising 9204 subjects aged 18 to 64 years. To assess an east-west or south-north gradient, two binary logistic regression models were carried out for each SNAP factor. RESULTS: The logistic regression models revealed statistically significant differences with higher rates of at-risk alcohol consumption and lower rates of unhealthy nutrition in East Germany compared to West Germany. Significant differences between North and South Germany were found for at-risk alcohol consumption with higher rates of at-risk alcohol consumption in South Germany. Daily smoking and low physical activity were equally distributed across regions. CONCLUSIONS: The implementation of measures reducing at-risk alcohol consumption in Germany should take the identified east-west and south-north gradient into account. Since the prevalence of unhealthy nutrition was generally high, prevention and intervention measures should focus on Germany as a whole instead of specific regions.


Subject(s)
Alcohol Drinking/epidemiology , Diet/statistics & numerical data , Exercise , Smoking/epidemiology , Adolescent , Adult , Cross-Sectional Studies , Female , Germany/epidemiology , Germany, East/epidemiology , Germany, West/epidemiology , Humans , Life Style , Male , Middle Aged , Prevalence , Risk Factors , Young Adult
2.
Gesundheitswesen ; 81(2): 137-143, 2019 Feb.
Article in German | MEDLINE | ID: mdl-29486498

ABSTRACT

AIM: Estimates of e-cigarette consumption in Germany vary considerably. The use of e-cigarettes for tobacco cessation is critically discussed. Based on current data, the distribution of the consumption of e-cigarettes and their use in the adult general population of Germany will be presented. METHODS: The 2015 Epidemiological Survey of Substance Abuse, a nationwide survey of 18 to 64 year-old people in Germany (n=9,204, response rate: 52,2%), was used as data basis. RESULTS: E-cigarettes were known to most of the respondents (85,3%, 43,5 Mio.), whereas only 2,9% (1,5 Mio.) used e-cigarettes in the last 30 days. Higher risk of consuming e-cigarettes was seen in younger people (OR=0,95, 95%-KI=(0,93; 0,97)), men (OR=1,45, 95%-KI=(1,02; 2,07)) and smokers (OR=12,53, 95%-KI=(8,71; 18,03)). About a third of smokers and ex-smokers of conventional cigarettes (36,6%) who consumed e-cigarettes used these for tobacco cessation of which one fifth (21,3%) was able to quit smoking. CONCLUSION: E-cigarette users seem to be more likely to be male, younger and smokers of conventional cigarettes. In addition to curiosity, the change in smoking behavior is an important motive for consumption. The results indicate that the use of e-cigarettes can contribute to tobacco cessation, the majority of users, however, continue to consume conventional and/or e-cigarettes.


Subject(s)
Electronic Nicotine Delivery Systems , Smoking Cessation , Substance-Related Disorders , Adolescent , Adult , Aged , Germany/epidemiology , Humans , Male , Middle Aged , Substance-Related Disorders/epidemiology , Surveys and Questionnaires , Young Adult
3.
BMC Public Health ; 18(1): 688, 2018 06 04.
Article in English | MEDLINE | ID: mdl-29866082

ABSTRACT

BACKGROUND: Globally, alcohol is causally related to 2.5 million deaths per year and 12.5% of these are due to cancer. Previous research has indicated that public awareness of alcohol as a risk factor for cancer is low and this may contribute to a lack of public support for alcohol policies. The aim of this study was to investigate the relationship between awareness of the alcohol-cancer link and support for a range of alcohol policies in an English sample and policy context. METHODS: A cross-sectional survey of 2100 adult residents in England was conducted in which respondents answered questions regarding awareness of the link between alcohol and cancer and support for 21 policy proposals. Principal component analysis (PCA) was used to reduce the 21 policy proposals down to a set of underlying factors. Multiple regression analyses were conducted to estimate the relationship between awareness of the alcohol-cancer link and each of these policy factors. RESULTS: Thirteen per cent of the sample were aware of the alcohol-cancer link unprompted, a further 34% were aware when prompted and 53% were not aware of the link. PCA reduced the policy items to four policy factors, which were named price and availability, marketing and information, harm reduction and drink driving. Awareness of the alcohol-cancer link unprompted was associated with increased support for each of four underlying policy factors: price and availability (Beta: 0.06, 95% CI: 0.01, 0.10), marketing and information (Beta: 0.05, 95% CI: 0.00, 0.09), harm reduction (Beta: 0.09, 95% CI: 0.05, 0.14), and drink driving (Beta: 0.16, 95% CI: 0.11, 0.20). CONCLUSIONS: Support for alcohol policies is greater among individuals who are aware of the link between alcohol and cancer. At the same time, a large proportion of people are unaware of the alcohol-cancer link and so increasing awareness may be an effective approach to increasing support for alcohol policies.


Subject(s)
Alcohol Drinking/adverse effects , Health Knowledge, Attitudes, Practice , Neoplasms/etiology , Public Opinion , Public Policy , Adolescent , Adult , Cross-Sectional Studies , England , Female , Humans , Male , Middle Aged , Risk Factors , Young Adult
4.
Dtsch Arztebl Int ; 115(4): 49-55, 2018 01 26.
Article in English | MEDLINE | ID: mdl-29467073

ABSTRACT

BACKGROUND: The abuse of new psychoactive substances (NPS) and methamphetamine has severe adverse effects. Here we provide the first report of regional patterns in NPS and methamphetamine consumption in Germany, on the basis of epidemiologic data from six federal states (Bavaria, Hamburg, Hesse, North Rhine-Westphalia, Saxony, and Thuringia). METHODS: Data were derived from the 2015 Epidemiological Survey of Substance Abuse (Epidemiologischer Suchtsurvey) and supplemented with additional cases from the federal states that were studied. The numbers of persons included in the representative samples of persons aged 18 to 64 in each state were 1916 (Bavaria), 1125 (Hamburg), 1151 (Hesse), 2008 (North Rhine-Westphalia), 1897 (Saxony), and 1543 (Thuringia). Potential risk factors for the lifetime prevalence of consumption were studied by logistic regression. RESULTS: The lifetime prevalence of methamphetamine consumption in the individual states ranged from 0.3% (North Rhine-Westphalia) to 2.0% (Saxony). Thuringia and Saxony displayed values that were significantly higher than average. For NPS, the figures ranged from 2.2% (Bavaria) to 3.9% (Hamburg), but multivariate analysis revealed no statistically significant differences between the states. Higher age and higher educational level were associated with lower consumption of NPS and methamphetamine, while smoking and cannabis use were each associated with higher consumption. CONCLUSION: NPS consumption is equally widespread in all of the federal states studied. Methamphetamine is rarely consumed; its consumption appears to be higher in Saxony and Thuringia. The risk factor analysis reported here should be interpreted cautiously in view of the low case numbers with respect to consumption.


Subject(s)
Amphetamine-Related Disorders/epidemiology , Central Nervous System Stimulants/adverse effects , Drug Users/statistics & numerical data , Methamphetamine/adverse effects , Substance Abuse Detection/statistics & numerical data , Adult , Central Nervous System Stimulants/administration & dosage , Female , Germany/epidemiology , Humans , Logistic Models , Male , Methamphetamine/administration & dosage , Middle Aged , Prevalence , Rural Population/statistics & numerical data , Urban Population/statistics & numerical data , Young Adult
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