Behavior-related risk factors and time to death among persons with alcohol consumption versus persons without: A general population study with mortality follow-up after 20 years.

BACKGROUND: Evidence shows that low to moderate alcohol consumers seem to live longer than abstainers. Insufficient consideration of subgroups among abstainers and of further behavior-related risk factors for death might be reasons. The aim of this study was to compare alcohol lifetime abstainers, former drinkers, and current consumers with regard to mortality considering tobacco smoking, body overweight, and physical inactivity. METHODS: A general adult population sample of residents aged 18 to 64 had been drawn at random in northern Germany. Among eligible persons, 4093 (70.2%) participated. Assessments included alcohol consumption by the Alcohol Use Disorders Identification Test Consumption in addition to lifetime alcohol abstinence and former drinking. A score of behavior-related risk factors was built from tobacco smoking, body overweight, and physical inactivity. Twenty years later, a mortality follow-up was conducted. Data of 4028 study participants were analyzed. RESULTS: At baseline, former alcohol consumers but not current low to moderate alcohol drinkers had more behavior-related risk factors than lifetime abstainers. At follow-up, former alcohol drinkers with two or more behavior-related risk factors had a shorter time to death than lifetime abstainers with 0 or one behavior-related risk factor (hazard ratio 3.43, 95% confidence interval: 1.63-7.20). Low to moderate alcohol drinkers did not survive longer than lifetime alcohol abstainers with 0 or one behavior-related risk factor. CONCLUSION: The results provide evidence against the assumption that alcohol consumption has a beneficial effect on health and longevity.

Do in-person and computer-based brief alcohol interventions reduce tobacco smoking among general hospital patients? Secondary outcomes from a randomized controlled trial.

BACKGROUND: At-risk alcohol use and tobacco smoking often co-occur. We investigated whether brief alcohol interventions (BAIs) among general hospital patients with at-risk alcohol use may also reduce tobacco smoking over 2 years. We also investigated whether such effects vary by delivery mode; i.e. in-person versus computer-based BAI. METHODS: A proactively recruited sample of 961 general hospital patients with at-risk alcohol use aged 18 to 64 years was allocated to three BAI study groups: in-person BAI, computer-based BAI, and assessment only. In-person- and computer-based BAI included motivation-enhancing intervention contacts to reduce alcohol use at baseline and 1 and 3 months later. Follow-ups were conducted after 6, 12, 18 and 24 months. A two-part latent growth model, with self-reported smoking status (current smoking: yes/no) and number of cigarettes in smoking participants as outcomes, was estimated. RESULTS: Smoking participants in computer-based BAI smoked fewer cigarettes per day than those assigned to assessment only at month 6 (meannet change = - 0.02; 95% confidence interval = - 0.08-0.00). After 2 years, neither in-person- nor computer-based BAI significantly changed smoking status or number of cigarettes per day in comparison to assessment only or to each other (ps ≥ 0.23). CONCLUSIONS: While computer-based BAI also resulted in short-term reductions of number of cigarettes in smoking participants, none of the two BAIs were sufficient to evoke spill-over effects on tobacco smoking over 2 years. For long-term smoking cessation effects, multibehavioural interventions simultaneously targeting tobacco smoking along with at-risk alcohol use may be more effective. TRIAL REGISTRATION NUMBER: NCT01291693.

Alcohol and Nicotine Dependence and Time to Death in a General Adult Population: A Mortality Cohort Study.

INTRODUCTION: Findings from general population studies are lacking in regard to the co-occurrence of alcohol and nicotine dependence in relation to later mortality. The aim of this study was to analyze potential interactions of risky alcohol drinking, tobacco smoking, alcohol and nicotine dependence, and time until the first cigarette is smoked in the morning after awakening in the prediction of mortality. METHODS: This study analyzed a random sample of the general population in Northern Germany, which comprised adults aged 18-64 years. Risky alcohol drinking, tobacco smoking, alcohol and nicotine dependence, and the time until the first cigarette in the morning after awakening were assessed for the period of 1996-1997 by applying the Munich-Composite International Diagnostic Interview. Data about all-cause mortality were gathered for the period of 2017-2018 and analyzed using Cox proportional hazards models. RESULTS: Risky alcohol drinking, tobacco smoking, alcohol and nicotine dependence, and the time until the first cigarette in the morning were associated with each other and predicted the time to death. Among participants with a former alcohol dependence, 29.59% had a current nicotine dependence. Participants who had ever been dependent on alcohol at some point in their life before and currently smoked their first cigarette in the morning within 30 min or less after awakening had a hazard ratio of 5.28 (95% confidence interval: 3.33-8.38) for early death compared to low-risk alcohol consumers who had never smoked. CONCLUSION: Risky alcohol drinking, tobacco smoking, alcohol and nicotine dependence, and the time until the first cigarette in the morning may have a cumulative impact on time to death. The findings suggest that it could be beneficial to provide support for quitting both risky alcohol drinking and tobacco smoking among nondependent individuals in addition to supporting remission from dependence.

Behavior-related health risk factors, mental disorders and mortality after 20 years in a working aged general population sample.

Mortality is predicted by the sum of behavior-related health risk factors (BRFs: tobacco smoking, alcohol drinking, body overweight, and physical inactivity). We analyzed degrees and combinations of BRFs in their relation to mortality and adjusted for mental disorders. In a random sample of the general population in northern Germany aged 18-64, BRFs and mental disorders had been assessed in 1996-1997 by the Munich Composite International Diagnostic Interview. A sum score including eight ranks of the behavior-related health risk factors was built. Death and its causes were ascertained 2017-2018 using residents' registration files and death certificates. Relations of the sum score and combinations of the BRFs at baseline with all-cause, cancer, and cardiovascular mortality 20 years later were analyzed. The sum score and combinations predicted all-cause, cardiovascular and cancer mortality. The odds ratio of the sum score was 1.38 (95% confidence interval 1.31-1.46) after adjustment for age, gender, and mental disorder. In addition to the BRFs, mood, anxiety or somatoform disorders were not related to mortality. We concluded that the sum score and combinations of behavior-related health risk factors predicted mortality, even after adjustment for mental disorders.

[Alcohol as a health risk: new recommendations for dealing with alcohol]. / Gesundheitsrisiko Alkohol ­ neue Empfehlungen zum Umgang mit Alkohol.

BACKGROUND: Chronic alcohol consumption is related to more than 200 disorders. Up until now, limits for low-risk use of alcohol were 24 g/ day for men and 12 g/ day for women. Recent epidemiologic studies have shown that any alcohol may be harmful. AIM: The aim of this review is to reassess the health risk of alcohol. RESULTS: There is a linear relationship between the amount of alcohol consumed and mortality risk. No risk-free dose of alcohol exists. However, health risk varies not only with the amount of alcohol consumed but also with target organs, as well as individual genetic and non-genetic factors such as smoking, medication use, exposure to environmental toxins, and pre-existing disease that deteriorates with alcohol use. High-risk groups for the damaging effect of alcohol include children and adolescents, old people, and women. Diseases that are affected by alcohol even at a low dose include arterial hypertension, cardiac arrhythmia (extrasystole, arterial fibrillation), some liver diseases (non-alcoholic fatty liver disease, hepatitis C, porphyria) as well as breast cancer. For these disorders, a threshold of low risk does not exist. Finally, in addition to breast cancer, alcohol is a risk factor for cancer of the oral cavity, the larynx, pharynx, oesophagus, liver, and colorectum. During pregnancy alcohol is completely forbidden. CONCLUSION: There is no such thing as a risk-free dose of alcohol.

Patient motivation and preferences in changing co-occurring health risk behaviors in general hospital patients.

OBJECTIVES: More than 60% of general hospital patients report ≥ 2 health risk behaviors (HRBs), i.e. tobacco smoking, at-risk alcohol use, unhealthy diet, and/or insufficient physical activity. This study investigates a) the association between numbers of HRBs and motivation to change, b) patient preferences for receiving feedback on HRBs, and c) patients' expected gain in quality of life if behavior change made. METHODS: In 2020/2021, 256 18-64-year-old general hospital patients (72.1% of eligibles) reported on their motivation to change each of their HRBs. Associations between HRB number and motivation were assessed using multivariate linear regressions. Participants ranked HRBs concerning their interest in receiving feedback and concerning their expected gain in quality of life if behavior change occurred. RESULTS: Higher HRB number was negatively related to motivation among at-risk alcohol users (p = 0.034); 24.6% expected gain in their quality of life from behavior change. Participants overall appeared more favorable to feedback about vegetable/fruit intake and physical activity. CONCLUSIONS: Unhealthier lifestyle may be accompanied by decreased motivation to change in at-risk alcohol users. In case of co-occurring HRBs, asking patients for expected gain in quality of life may help guiding intervention target. PRACTICE IMPLICATIONS: Relying on patient selection only, may often leave substance-use unaddressed.

Internet Use Disorders: Subjective Importance of Online Friends in the Context of Real-Life Social Support and Comorbid Mental Disorders.

INTRODUCTION: Previous studies analyzing friendships with people only known through the Internet mainly focused on quantitative aspects (e.g., the number of online friends or the time spent with them). Little is known about the perceived quality of online compared to real-life friends in individuals with an Internet use disorder (IUD). This study aimed to analyze associations of the increased subjective importance of online friends and IUD by controlling for the perceived real-life social support and comorbid mental disorders. METHODS: Based on a general population sample, 192 participants who were screened positive for risky Internet use took part in face-to-face clinical diagnostic interviews. IUD was assessed using the structure of the Munich-Composite International Diagnostic Interview (M-CIDI) and the adapted criteria of Internet gaming disorder in the 5th edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). The number and the increased subjective importance of online compared to real-life friends were assessed with the Online and Real-Life Friends scale (ORLF), real-life social support was assessed with the Berlin Social Support Scales (BSSS), and comorbidity was assessed with the M-CIDI. Data were analyzed with binary regression models. RESULTS: Of 192 participants with risky Internet use, 39 participants (19 men; age M = 29.9, SD = 12.2) fulfilled the criteria of IUD in the last 12 months. IUD was not associated with the number or perceived social support of online friends per se. In multivariate analyses, IUD was associated with increased subjective importance of online friends, independently from comorbid anxiety or mood disorders. However, when controlling for real-life social support, associations of IUD and increased subjective importance of online friends were no longer present. CONCLUSION: These findings highlight the necessity of therapeutic interventions aimed at strengthening social skills and engaging in real-life relationships in the prevention and therapy of IUD. Due to the small sample size and the cross-sectional analysis, however, further research is needed.

Associations of accelerometer-based sedentary bouts with adiposity markers among German adults - results from a cross-sectional study.

BACKGROUND: Long periods of uninterrupted sitting, i.e., sedentary bouts, and their relationship with adverse health outcomes have moved into focus of public health recommendations. However, evidence on associations between sedentary bouts and adiposity markers is limited. Our aim was to investigate associations of the daily number of sedentary bouts with waist circumference (WC) and body mass index (BMI) in a sample of middle-aged to older adults. METHODS: In this cross-sectional study, data were collected from three different studies that took place in the area of Greifswald, Northern Germany, between 2012 and 2018. In total, 460 adults from the general population aged 40 to 75 years and without known cardiovascular disease wore tri-axial accelerometers (ActiGraph Model GT3X+, Pensacola, FL) on the hip for seven consecutive days. A wear time of ≥ 10 h on ≥ 4 days was required for analyses. WC (cm) and BMI (kg m- 2) were measured in a standardized way. Separate multilevel mixed-effects linear regression analyses were used to investigate associations of sedentary bouts (1 to 10 min, >10 to 30 min, and >30 min) with WC and BMI. Models were adjusted for potential confounders including sex, age, school education, employment, current smoking, season of data collection, and composition of accelerometer-based time use. RESULTS: Participants (66% females) were on average 57.1 (standard deviation, SD 8.5) years old and 36% had a school education >10 years. The mean number of sedentary bouts per day was 95.1 (SD 25.0) for 1-to-10-minute bouts, 13.3 (SD 3.4) for >10-to-30-minute bouts and 3.5 (SD 1.9) for >30-minute bouts. Mean WC was 91.1 cm (SD 12.3) and mean BMI was 26.9 kg m- 2 (SD 3.8). The daily number of 1-to-10-minute bouts was inversely associated with BMI (b = -0.027; p = 0.047) and the daily number of >30-minute bouts was positively associated with WC (b = 0.330; p = 0.001). All other associations were not statistically significant. CONCLUSION: The findings provide some evidence on favourable associations of short sedentary bouts as well as unfavourable associations of long sedentary bouts with adiposity markers. Our results may contribute to a growing body of literature that can help to define public health recommendations for interrupting prolonged sedentary periods. TRIAL REGISTRATION: Study 1: German Clinical Trials Register (DRKS00010996); study 2: ClinicalTrials.gov (NCT02990039); study 3: ClinicalTrials.gov (NCT03539237).

Health behaviors of general hospital patients with at-risk alcohol use: Change over two years after discharge.

OBJECTIVE: Little is known about the natural course of health-related behaviors such as tobacco smoking, at-risk alcohol use, vegetable and fruit intake and physical activity in general hospital patients after discharge. The aim was to investigate whether patients identified with at-risk alcohol use change their health-related behaviors over two years. METHODS: Eighteen to 64-year-old patients with at-risk alcohol use were identified through systematic screening as part of a randomized controlled trial. Patients with indication of an alcohol use disorder were excluded. Data of patients who received treatment as usual were analyzed (n = 220). Alcohol use, tobacco smoking, vegetable/ fruit intake, physical activity and body-mass-index were assessed at baseline, after 6, 12, 18, and 24 months. Latent growth models were calculated. RESULTS: Twenty-four months after discharge, participants reported less physical activity (p = .04), a higher body-mass-index (p = .01), no change in vegetable/ fruit intake (p = .11) and smoking status (p = .87), fewer cigarettes per week among smokers (p < .001), and less alcohol use (p < .001) compared to baseline. CONCLUSIONS: The data revealed that patients with at-risk alcohol use increased or did not change energy-balance related behaviors and decreased substance-use related behaviors over 2 years after hospitalization. These findings underline the need of implementing multi-behavioral interventions into routine care.

Three-year trajectories of alcohol use among at-risk and among low-risk drinkers in a general population sample of adults: A latent class growth analysis of a brief intervention trial.

Background: Few studies have assessed trajectories of alcohol use in the general population, and even fewer studies have assessed the impact of brief intervention on the trajectories. Especially for low-risk drinkers, it is unclear what trajectories occur, whether they benefit from intervention, and if so, when and how long. The aims were first, to identify alcohol use trajectories among at-risk and among low-risk drinkers, second, to explore potential effects of brief alcohol intervention and, third, to identify predictors of trajectories. Methods: Adults aged 18-64 years were screened for alcohol use at a municipal registration office. Those with alcohol use in the past 12 months (N = 1646; participation rate: 67%) were randomized to assessment plus computer-generated individualized feedback letters or assessment only. Outcome was drinks/week assessed at months 3, 6, 12, and 36. Alcohol risk group (at-risk/low-risk) was determined using the Alcohol Use Disorders Identification Test-Consumption. Latent class growth models were estimated to identify alcohol use trajectories among each alcohol risk group. Sex, age, school education, employment status, self-reported health, and smoking status were tested as predictors. Results: For at-risk drinkers, a light-stable class (46%), a medium-stable class (46%), and a high-decreasing class (8%) emerged. The light-stable class tended to benefit from intervention after 3 years (Incidence Rate Ratio, IRR=1.96; 95% Confidence Interval, CI: 1.14-3.37). Male sex, higher age, more years of school, and current smoking decreased the probability of belonging to the light-stable class (p-values<0.05). For low-risk drinkers, a very light-slightly increasing class (72%) and a light-increasing class (28%) emerged. The very light-slightly increasing class tended to benefit from intervention after 6 months (IRR=1.60; 95% CI: 1.12-2.28). Male sex and more years of school increased the probability of belonging to the light-increasing class (p-value < 0.05). Conclusion: Most at-risk drinkers did not change, whereas the majority of low-risk drinkers increased alcohol use. There may be effects of alcohol feedback, with greater long-term benefits among persons with low drinking amounts. Our findings may help to identify refinements in the development of individualized interventions to reduce alcohol use.

Association between Alcohol Consumption and Health-Related Quality of Life among Hospital and Ambulatory Care Patients with Past Year Depressive Symptoms.

BACKGROUND: Little is known about how substance use affects health-related quality of life (HRQOL) in depressed individuals. Here, associations between alcohol consumption and HRQOL in hospital and ambulatory care patients with past-year depressive symptoms are analyzed. METHOD: The sample consisted of 590 participants (26.8% non-drinkers) recruited via consecutive screenings. Individuals with alcohol use disorders were excluded. HRQOL was assessed with the Veterans Rand 12-item health survey (VR-12). Multivariable fractional polynomials (MFP) regression analyses were conducted (1) to test for non-linear associations between average daily consumption and HRQOL and (2) to analyze associations between alcohol consumption and the physical and mental health component summaries of the VR-12 and their subdomains. RESULTS: Alcohol consumption was positively associated with the physical health component summary of the VR-12 (p = 0.001) and its subdomains general health (p = 0.006), physical functioning (p < 0.001), and bodily pain (p = 0.017), but not with the mental health component summary (p = 0.941) or any of its subdomains. Average daily alcohol consumption was not associated with HRQOL. CONCLUSION: Alcohol consumption was associated with better physical HRQOL. Findings do not justify ascribing alcohol positive effects on HRQOL. Data indicate that non-drinkers may suffer from serious health disorders. The results of this study can inform the development of future alcohol- and depression-related interventions.

Investigating the Association Between the Co-Occurrence of Behavioral Health Risk Factors and Sick Days in General Hospital Patients.

Objectives: To investigate the co-occurrence of 4 behavioral health risk factors (BHRFs), namely tobacco smoking, alcohol at-risk drinking, physical inactivity and unhealthy diet and their association with sick days prior to hospitalization in general hospital patients. Methods: Over 10 weeks (11/2020-04/2021), all 18-64-year-old patients admitted to internal medicine, general and trauma surgery, and otorhinolaryngology wards of a tertiary care hospital were systematically approached. Among 355 eligible patients, 278 (78.3%) participated, and 256 (72.1%) were analyzed. Three BHRF sum scores were determined, including current tobacco smoking, alcohol use, physical inactivity and 1 of 3 indicators of unhealthy diet. Associations between BHRF sum scores and sick days in the past 6 months were analyzed using multivariate zero-inflated negative binomial regressions. Results: Sixty-two percent reported multiple BHRFs (≥2). The BHRF sum score was related to the number of sick days if any (p = 0.009) with insufficient vegetable and fruit intake as diet indicator. Conclusion: The majority of patients disclosed multiple BHRFs. These were associated with sick days prior to admission. The findings support the need to implement interventions targeting multiple BHRFs in general hospitals.

The Role of Sex and Age in Moderating the Outcome of In-Person and Computer-Based Brief Alcohol Interventions at General Hospitals: Reanalysis of a Brief Intervention Study.

INTRODUCTION: The aim of this study was to test whether brief alcohol interventions at general hospitals work equally well for males and females and across age-groups. METHODS: The current study includes a reanalysis of data reported in the PECO study (testing delivery channels of individualized motivationally tailored alcohol interventions among general hospital patients: in PErson vs. COmputer-based) and is therefore of exploratory nature. At-risk drinking general hospital patients aged 18-64 years (N = 961) were randomized to in-person counseling, computer-generated individualized feedback letters, or assessment only. Both interventions were delivered on the ward and 1 and 3 months later. Follow-ups were conducted at months 6, 12, 18, and 24. The outcome was grams of alcohol/day. Study group × sex and study group × age interactions were tested as predictors of change in grams of alcohol/day over 24 months in latent growth models. If rescaled likelihood ratio tests indicated improved model fit due to the inclusion of interactions, moderator level-specific net changes were calculated. RESULTS: Model fit was not significantly improved due to the inclusion of interaction terms between study group and sex (χ2[6] = 5.9, p = 0.439) or age (χ2[6] = 5.5, p = 0.485). DISCUSSION: Both in-person counseling and computer-generated feedback letters may work equally well among males and females as well as among different age-groups. Therefore, widespread delivery of brief alcohol interventions at general hospitals may be unlikely to widen sex and age inequalities in alcohol-related harm.

Sensitivity analyses for data missing at random versus missing not at random using latent growth modelling: a practical guide for randomised controlled trials.

BACKGROUND: Missing data are ubiquitous in randomised controlled trials. Although sensitivity analyses for different missing data mechanisms (missing at random vs. missing not at random) are widely recommended, they are rarely conducted in practice. The aim of the present study was to demonstrate sensitivity analyses for different assumptions regarding the missing data mechanism for randomised controlled trials using latent growth modelling (LGM). METHODS: Data from a randomised controlled brief alcohol intervention trial was used. The sample included 1646 adults (56% female; mean age = 31.0 years) from the general population who had received up to three individualized alcohol feedback letters or assessment-only. Follow-up interviews were conducted after 12 and 36 months via telephone. The main outcome for the analysis was change in alcohol use over time. A three-step LGM approach was used. First, evidence about the process that generated the missing data was accumulated by analysing the extent of missing values in both study conditions, missing data patterns, and baseline variables that predicted participation in the two follow-up assessments using logistic regression. Second, growth models were calculated to analyse intervention effects over time. These models assumed that data were missing at random and applied full-information maximum likelihood estimation. Third, the findings were safeguarded by incorporating model components to account for the possibility that data were missing not at random. For that purpose, Diggle-Kenward selection, Wu-Carroll shared parameter and pattern mixture models were implemented. RESULTS: Although the true data generating process remained unknown, the evidence was unequivocal: both the intervention and control group reduced their alcohol use over time, but no significant group differences emerged. There was no clear evidence for intervention efficacy, neither in the growth models that assumed the missing data to be at random nor those that assumed the missing data to be not at random. CONCLUSION: The illustrated approach allows the assessment of how sensitive conclusions about the efficacy of an intervention are to different assumptions regarding the missing data mechanism. For researchers familiar with LGM, it is a valuable statistical supplement to safeguard their findings against the possibility of nonignorable missingness. TRIAL REGISTRATION: The PRINT trial was prospectively registered at the German Clinical Trials Register (DRKS00014274, date of registration: 12th March 2018).

Proactive automatised lifestyle intervention (PAL) in general hospital patients: study protocol of a single-group trial.

INTRODUCTION: The co-occurrence of health risk behaviours (HRBs, ie, tobacco smoking, at-risk alcohol use, insufficient physical activity and unhealthy diet) increases the risks of cancer, other chronic diseases and mortality more than additively; and applies to more than half of adult general populations. However, preventive measures that target all four HRBs and that reach the majority of the target populations, particularly those persons most in need and hard to reach are scarce. Electronic interventions may help to efficiently address multiple HRBs in healthcare patients. The aim is to investigate the acceptance of a proactive and brief electronic multiple behaviour change intervention among general hospital patients with regard to reach, retention, equity in reach and retention, satisfaction and changes in behaviour change motivation, HRBs and health. METHODS AND ANALYSIS: A pre-post intervention study with four time points is conducted at a general hospital in Germany. All patients, aged 18-64 years, admitted to participating wards of five medical departments (internal medicine A and B, general surgery, trauma surgery, ear, nose and throat medicine) are systematically approached and invited to participate. Based on behaviour change theory and individual HRB profile, 175 participants receive individualised and motivation-enhancing computer-generated feedback at months 0, 1 and 3. Intervention reach and retention are determined by the proportion of participants among eligible patients and of participants who continue participation, respectively. Equity in reach and retention are measured with regard to school education and other sociodemographics. To investigate satisfaction with the intervention and subsequent changes, a 6-month follow-up is conducted. Descriptive statistics, multivariate regressions and latent growth modelling are applied. ETHICS AND DISSEMINATION: The local ethics commission and data safety appointee approved the study procedures. Results will be disseminated via publication in international scientific journals and presentations on scientific conferences. TRIAL REGISTRATION NUMBER: NCT05365269.

The Moderating Effect of Educational Background on the Efficacy of a Computer-Based Brief Intervention Addressing the Full Spectrum of Alcohol Use: Randomized Controlled Trial.

BACKGROUND: The alcohol-attributable burden of disease is high among socially disadvantaged individuals. Interventional efforts intending to have a public health impact should also address the reduction of social inequalities due to alcohol. OBJECTIVE: The aim was to test the moderating role of educational background on the efficacy of a computer-based brief intervention addressing the full spectrum of alcohol use. METHODS: We recruited 1646 adults from the general population aged 18 to 64 years (920 women, 55.9%; mean age 31 years; 574 with less than 12 years of school education, 34.9%) who reported alcohol use in the past year. The participants were randomly assigned a brief alcohol intervention or to assessment only (participation rate, 66.9%, 1646/2463 eligible persons). Recruitment took place in a municipal registry office in one German city. All participants filled out a self-administered, tablet-based survey during the recruitment process and were assessed 3, 6, and 12 months later by study assistants via computer-assisted telephone interviews. The intervention consisted of 3 computer-generated and individualized feedback letters that were sent via mail at baseline, month 3, and month 6. The intervention was based on the transtheoretical model of behavior change and expert system software that generated the feedback letters automatically according to previously defined decision rules. The outcome was self-reported change in number of alcoholic drinks per week over 12 months. The moderator was school education according to highest general educational degree (less than 12 years of education vs 12 years or more). Covariates were sex, age, employment, smoking, and alcohol-related risk level. RESULTS: Latent growth modeling revealed that the intervention effect after 12 months was moderated by educational background (incidence rate ratio 1.38, 95% CI 1.08-1.76). Individuals with less than 12 years of school education increased their weekly alcohol use to a lesser extent when they received the intervention compared to assessment only (incidence rate ratio 1.30, 95% CI 1.05-1.62; Bayes factor 3.82). No difference was found between groups (incidence rate ratio 0.95, 95% CI 0.84-1.07; Bayes factor 0.30) among those with 12 or more years of school education. CONCLUSIONS: The efficacy of an individualized brief alcohol intervention was moderated by the participants' educational background. Alcohol users with less than 12 years of school education benefited, whereas those with 12 or more years did not. People with lower levels of education might be more receptive to the behavior change mechanisms used by brief alcohol interventions. The intervention approach may support the reduction of health inequalities in the population at large if individuals with low or medium education can be reached. TRIAL REGISTRATION: German Clinical Trials Register DRKS00014274; https://www.drks.de/DRKS00014274.

The Role of Tobacco Smoking in the Efficacy of Brief Alcohol Intervention: Results from a Randomized Controlled Trial.

This study investigated whether tobacco smoking affected outcomes of brief alcohol interventions (BAIs) in at-risk alcohol-drinking general hospital patients. Between 2011 and 2012 among patients aged 18−64 years, 961 patients were allocated to in-person counseling (PE), computer-based BAI containing computer-generated individual feedback letters (CO), and assessment only. PE and CO included contacts at baseline, 1, and 3 months. After 6, 12, 18, and 24 months, self-reported reduction of alcohol use per day was assessed as an outcome. By using latent growth curve models, self-reported smoking status, and number of cigarettes per day were tested as moderators. In PE and CO, alcohol use was reduced independently of smoking status (IRRs ≤ 0.61, ps < 0.005). At month 24, neither smoking status nor number of cigarettes per day moderated the efficacy of PE (IRR = 0.69, ps > 0.05) and CO (IRR = 0.85, ps > 0.05). Up to month 12, among persons smoking ≤ 19 cigarettes per day, the efficacy of CO increased with an increasing number of cigarettes (ps < 0.05). After 24 months, the efficacy of PE and CO that have been shown to reduce drinking did not differ by smoking status or number of cigarettes per day. Findings indicate that efficacy may differ by the number of cigarettes in the short term.

Behavioral Health Risk Factors and Motivation to Change among Cardiovascular General Hospital Patients Aged 50 to 79 Years.

Little is known about the (co-)occurrence of smoking, alcohol at-risk drinking, physical inactivity and overweight, and the motivation to change these behavioral health risk factors (HRFs) in older general hospital patients with cardiovascular disease. Between October and December 2016, all consecutively admitted patients aged 50 to 79 years were proactively recruited on 3 cardiology wards and asked to participate in a survey on HRFs and behavior change motivation. Of the eligible patients, 80.4% participated in the survey (n = 328). The mean age was 66.5 years (standard deviation 9.0), and 65.5% were male. At least 1 HRF was present in 91.8% (n = 280), at least 2 HRFs in 54.4% (n = 166), and 3 or 4 HRFs in 12.1% (n = 37) of participants. The proportion of older adults who contemplated or were changing or planning to change their behavior to meet health behavior recommendations ranged between 66.0% (smoking) and 93.2% (alcohol consumption). The results indicate a notable co-occurrence of behavioral HRFs in older patients with cardiovascular disease. The majority of older adults were at least considering changing the respective behavior. To prevent and treat diseases efficiently, hospitalization may be a suitable moment for systematic multiple HRF screening and intervention.

Severity of alcohol dependence and mortality after 20 years in an adult general population sample.

OBJECTIVES: To estimate mortality on grounds of the severity of alcohol dependence which has been assessed by two approaches: the frequency of alcohol dependence symptoms (FADS) and the number of alcohol dependence criteria (NADC). METHODS: A random sample of adult community residents in northern Germany at age 18 to 64 had been interviewed in 1996. Among 4075 study participants at baseline, for 4028 vital status was ascertained 20 years later. The FADS was assessed by the Severity of Alcohol Dependence Scale among the 780 study participants who had one or more symptoms of alcohol dependence or abuse and vital status information. The NADC was estimated by the Munich Composite International Diagnostic Interview among 4028 study participants with vital status information. Cox proportional hazard models were used. RESULTS: The age-adjusted hazard ratio for the FADS (value range: 0-79) was 1.02 (95% confidence interval, CI: 1.016-1.028), for the NADC (value range: 0-7) it was 1.25 (CI: 1.19-1.32). CONCLUSIONS: The FADS and NADC predicted time to death in a dose-dependent manner in this adult general population sample.