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.

[Alcohol as a health risk: new recommendations for dealing with alcohol]

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.

Multi-omics for studying and understanding polar life

Polar ecosystems are experiencing amongst the most rapid rates of regional warming on Earth. Here, we discuss 'omics' approaches to investigate polar biodiversity, including the current state of the art, future perspectives and recommendations. We propose a community road map to generate and more fully exploit multi-omics data from polar organisms. These data are needed for the comprehensive evaluation of polar biodiversity and to reveal how life evolved and adapted to permanently cold environments with extreme seasonality. We argue that concerted action is required to mitigate the impact of warming on polar ecosystems via conservation efforts, to sustainably manage these unique habitats and their ecosystem services, and for the sustainable bioprospecting of novel genes and compounds for societal gain.

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.

E-Health intervention for subthreshold depression: Reach and two-year effects of a randomized controlled trial

BACKGROUND

There is evidence for e-Health interventions for full-blown depression. Little is known regarding commonly untreated subthreshold depression in primary care. This randomized controlled multi-centre trial assessed reach and two-year-effects of a proactive e-Health intervention (ActiLife) for patients with subthreshold depression.

METHODS

Primary care and hospital patients were screened for subthreshold depression. Over 6 months, ActiLife participants received three individualized feedback letters and weekly messages promoting self-help strategies against depression, e.g., dealing with unhelpful thoughts or behavioural activation. The primary outcome depressive symptom severity (Patient Health Questionnaire;PHQ-8) and secondary outcomes were assessed 6, 12 and 24 months.

RESULTS

Of those invited, n = 618(49.2 %) agreed to participate. Of them, 456 completed the baseline interview and were randomized to ActiLife (n = 227) or assessment only (n = 226). Generalised estimation equation analyses adjusting for site, setting and baseline depression revealed that depressive symptom severity declined over time, with no significant group differences at 6 (mean difference = 0.47 points; d = 0.12) and 24 months (mean difference = -0.05 points; d = -0.01). Potential adverse effects were observed at 12 months, with higher depressive symptom severity for ActiLife than control participants (mean difference = 1.33 points; d = 0.35). No significant differences in rates of reliable deterioration or reliable improvement of depressive symptoms were observed. ActiLife increased applied self-help strategies at 6 (mean difference = 0.32; d = 0.27) and 24 months (mean difference = 0.22; d = 0.19), but not at 12 months (mean difference = 0.18; d = 0.15).

LIMITATIONS

Self-report measures and lack of information on patients' mental health treatment.

DISCUSSION

ActiLife yielded satisfactory reach and increased the use of self-help strategies. Data were inconclusive in terms of depressive symptom changes.

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.

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.

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.

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.

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.

Social Equity in the Efficacy of Computer-Based and In-Person Brief Alcohol Interventions Among General Hospital Patients With At-Risk Alcohol Use: A Randomized Controlled Trial

BACKGROUND

Social equity in the efficacy of behavior change intervention is much needed. While the efficacy of brief alcohol interventions (BAIs), including digital interventions, is well established, particularly in health care, the social equity of interventions has been sparsely investigated.

OBJECTIVE

We aim to investigate whether the efficacy of computer-based versus in-person delivered BAIs is moderated by the participants' socioeconomic status (ie, to identify whether general hospital patients with low-level education and unemployed patients may benefit more or less from one or the other way of delivery compared to patients with higher levels of education and those that are employed).

METHODS

Patients with nondependent at-risk alcohol use were identified through systematic offline screening conducted on 13 general hospital wards. Patients were approached face-to-face and asked to respond to an app for self-assessment provided by a mobile device. In total, 961 (81% of eligible participants) were randomized and received their allocated intervention: computer-generated and individually tailored feedback letters (CO), in-person counseling by research staff trained in motivational interviewing (PE), or assessment only (AO). CO and PE were delivered on the ward and 1 and 3 months later, were based on the transtheoretical model of intentional behavior change and required the assessment of intervention data prior to each intervention. In CO, the generation of computer-based feedback was created automatically. The assessment of data and sending out feedback letters were assisted by the research staff. Of the CO and PE participants, 89% (345/387) and 83% (292/354) received at least two doses of intervention, and 72% (280/387) and 54% (191/354) received all three doses of intervention, respectively. The outcome was change in grams of pure alcohol per day after 6, 12, 18, and 24 months, with the latter being the primary time-point of interest. Follow-up interviewers were blinded. Study group interactions with education and employment status were tested as predictors of change in alcohol use using latent growth modeling.

RESULTS

The efficacy of CO and PE did not differ by level of education (P=.98). Employment status did not moderate CO efficacy (Ps≥.66). Up to month 12 and compared to employed participants, unemployed participants reported significantly greater drinking reductions following PE versus AO (incidence rate ratio 0.44, 95% CI 0.21-0.94; P=.03) and following PE versus CO (incidence rate ratio 0.48, 95% CI 0.24-0.96; P=.04). After 24 months, these differences were statistically nonsignificant (Ps≥.31).

CONCLUSIONS

Computer-based and in-person BAI worked equally well independent of the patient's level of education. Although findings indicate that in the short-term, unemployed persons may benefit more from BAI when delivered in-person rather than computer-based, the findings suggest that both BAIs have the potential to work well among participants with low socioeconomic status.

TRIAL REGISTRATION

ClinicalTrials.gov NCT01291693; https://clinicaltrials.gov/ct2/show/NCT01291693.

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.

Alcohol abstinence and mortality in a general population sample of adults in Germany: A cohort study

BACKGROUND

Evidence suggests that people who abstain from alcohol have a higher mortality rate than those who drink low to moderate amounts. However, little is known about factors that might be causal for this finding. The objective was to analyze former alcohol or drug use disorders, risky drinking, tobacco smoking, and fair to poor health among persons who reported abstinence from alcohol drinking in the last 12 months before baseline in relation to total, cardiovascular, and cancer mortality 20 years later.

METHODS AND FINDINGS

A sample of residents aged 18 to 64 years had been drawn at random among the general population in northern Germany and a standardized interview conducted in the years 1996 to 1997. The baseline assessment included 4,093 persons (70.2% of those who had been eligible). Vital status and death certificate data were retrieved in the years 2017 and 2018. We found that among the alcohol-abstinent study participants at baseline (447), there were 405 (90.60%) former alcohol consumers. Of the abstainers, 322 (72.04%) had met one or more criteria for former alcohol or drug dependence or abuse, alcohol risky drinking, or had tried to cut down or to stop drinking, were daily smokers, or self-rated their health as fair to poor. Among the abstainers with one or more of these risk factors, 114 (35.40%) had an alcohol use disorder or risky alcohol consumption in their history. Another 161 (50.00%) did not have such an alcohol-related risk but were daily smokers. The 322 alcohol-abstinent study participants with one or more of the risk factors had a shorter time to death than those with low to moderate alcohol consumption. The Cox proportional hazard ratio (HR) was 2.44 (95% confidence interval (CI), 1.68 to 3.56) for persons who had one or more criteria for an alcohol or drug use disorder fulfilled in their history and after adjustment for age and sex. The 125 alcohol-abstinent persons without these risk factors (27.96% of the abstainers) did not show a statistically significant difference from low to moderate alcohol consumers in total, cardiovascular, and cancer mortality. Those who had stayed alcohol abstinent throughout their life before (42; 9.40% of the alcohol-abstinent study participants at baseline) had an HR 1.64 (CI 0.72 to 3.77) compared to low to moderate alcohol consumers after adjustment for age, sex, and tobacco smoking. Main limitations of this study include its reliance on self-reported data at baseline and the fact that only tobacco smoking was analyzed as a risky behavior alongside alcohol consumption.

CONCLUSIONS

The majority of the alcohol abstainers at baseline were former alcohol consumers and had risk factors that increased the likelihood of early death. Former alcohol use disorders, risky alcohol drinking, ever having smoked tobacco daily, and fair to poor health were associated with early death among alcohol abstainers. Those without an obvious history of these risk factors had a life expectancy similar to that of low to moderate alcohol consumers. The findings speak against recommendations to drink alcohol for health reasons.

Longitudinal measurement invariance of the patient health questionnaire in a German sample

BACKGROUND

The Patient Health Questionnaire-8 (PHQ-8) is a screening questionnaire of depressive symptoms. However, it is unknown whether it is equivalent across time and between groups of individuals. The aim of our paper was to test whether the PHQ-8 has the same meaning in two groups of individuals over time.

METHODS

Primary care patients were proactively recruited from three German cities. PHQ-8 data from a baseline assessment (n = 588), two assessments during the intervention (n = 246/225), and a six (n = 437) and 12 months (n = 447) follow-up assessment were first used to examine the factor structure of the PHQ-8 by confirmatory factor analysis (CFA). The best fitting factor solution was then used to test longitudinal invariance across time and between intervention and control group by Multiple Group CFA.

RESULTS

A two-factor structure consistently showed the best model fit. Only configural longitudinal invariance was evidenced when the baseline assessment was included in the analysis. Without the baseline assessment, strict longitudinal invariance was shown across the intervention and the follow-up assessments. Scalar invariance was established between the intervention and control group for the baseline assessment and strict invariance between groups and across the 6- and 12-month follow-up assessments.

CONCLUSIONS

The lack of longitudinal invariance might be attributed to various differences between the baseline assessments and all following assessments, e.g., assessment mode (iPad vs telephone), potential changes in symptom perception, and setting.

TRIAL REGISTRATION

DRKS0001163 5, date of trial registration: 20.01.2017; DRKS00011637 , date of trial registration: 25.01.2017.

Effects of a brief alcohol intervention addressing the full spectrum of drinking in an adult general population sample: a randomized controlled trial

BACKGROUND AND AIMS

Evidence for efficacy of brief alcohol interventions (BAIs) is mainly limited to primary care and at-risk drinkers. The aim was to test the efficacy of a BAI addressing the full spectrum of alcohol use in a general population sample and across alcohol risk groups.

DESIGN

Two-parallel-group randomized controlled trial (allocation ratio 1:1) with post-baseline assessments at months 3, 6 and 12.

SETTING

One municipal registry office in Germany responsible for registration, passport and vehicle admission issues.

PARTICIPANTS

A total of 1646 proactively recruited 18-64-year-old adults with past year alcohol use (56% women, 66% low-risk drinkers) were randomized to intervention (n = 815) or control (n = 831).

INTERVENTION AND COMPARATOR

The intervention consisted of assessment plus computer-generated individualized feedback letters at baseline and months 3 and 6. Comparator was assessment only.

MEASUREMENTS

Primary outcome was change in the self-reported number of drinks/week from baseline to 12 months. Changes at 3 and 6 months were secondary outcomes. Moderator was alcohol risk group (low-risk versus at-risk drinking) according to the Alcohol Use Disorders Identification Test-Consumption, with scores from 1-3 (women) and from 1-4 (men) indicating low-risk drinking.

FINDINGS

For the whole sample, significant group differences were observed neither at 12-month follow-up [incidence rate ratio (IRR) = 1.01, 95% confidence interval (CI) = 0.87-1.17, Bayes factor (BE) = 0.52] nor at previous assessments (month 3: IRR = 1.01, 95% CI = 0.92-1.12, BE = 0.41; month 6: IRR = 0.93, 95% CI = 0.81-1.07, BE = 1.10). Moderator analyses revealed that low-risk drinkers were more likely to benefit from BAI only at month 6 than at-risk drinkers (IRR = 0.77, 95% CI = 0.70-0.86).

CONCLUSIONS

In a randomized controlled trial, there was no clear evidence for efficacy of a computer-based brief alcohol intervention in a general population sample, but there was some evidence of medium-term benefits in the large but understudied group of low-risk drinkers.

Brief alcohol intervention at a municipal registry office: reach and retention

BACKGROUND

The aim was to investigate the suitability of a municipal registry office for alcohol screening and brief intervention. We analyzed whether trial participation and retention differ by alcohol- and health-related, demographic and socio-economic participant characteristics.

METHODS

Over 3 months, all 18- to 64-year-old visitors of a registry office were systematically screened. Persons with alcohol consumption in the past 12 months (N = 1646) were randomized to brief alcohol intervention (BAI) or assessment only. BAI was delivered by computer-generated individualized feedback letters at baseline, 3 and 6 months. Logistic and ordered logistic regression models were used to investigate whether the odds of trial participation and retention depended on participant characteristics. Models were rerun separately for low-risk and at-risk drinkers with Alcohol Use Disorder Identification Test-Consumption scores ≥4/≥5 for women/men indicating at-risk drinking.

RESULTS

The trial participation rate was 67% with higher odds of participation in younger adults (P < 0.001). Retention rates at 3 and 6 months were 85% and 81%, respectively. Higher retention was associated with older age, higher level of school education and non-smoking (all p-values ≤0.05). Low-risk drinkers were more likely to participate in the trial (P < 0.01) and in post-baseline assessments (P < 0.05) than at-risk drinkers.

CONCLUSION

Our data suggest that registry offices could be a suitable setting to reach people from the general population for BAI. Especially the understudied group of low-risk drinkers was well reached through BAI and showed high adherence. BAI that addresses alcohol consumers beyond those at risk may be well accepted in proactively recruited people from the general population.

Effect of a 1-year short message service in detoxified alcohol-dependent patients: a multi-center, open-label randomized controlled trial

BACKGROUND AND AIMS

Existing evidence suggests that text message interventions can help people to reduce their alcohol consumption. However, studies with alcohol-dependent patients are lacking. In this study a 1-year automatic mobile phone-based short messaging service (SMS) intervention on alcohol consumption in patients after alcohol detoxification in hospital was compared with treatment as usual.

DESIGN

Multi-center, randomized, controlled, two parallel-group, observer-blinded trial.

SETTING AND PARTICIPANTS

Primary and secondary care: four hospitals and community (1 million residents, 7600 km² area in Germany). A total of 462 patients with alcohol dependence (ICD-10) were included during inpatient detoxification treatment. Patients were randomly assigned (1 : 1) to an SMS intervention and treatment as usual (SMS + TAU; n = 230; mean age: 45.4 years; 22.6% women) or TAU alone (n = 232 mean age: 44.5 years; 22.8% women). Planned, automated messages were sent to patients over 1 year to record assistance needs. A 'yes' or missing response triggered a telephone call from a hospital therapist. Outcome was assessed by an independent survey center.

MEASUREMENTS

The primary end-point was a three-category alcohol consumption measure covering months 10-12 after discharge: abstinence, non-heavy drinking, heavy drinking [men > 60 g/day; women > 40 g/day equal to World Health Organization (WHO) criteria: high risk and very high risk, mean consumption]. Secondary end-points were number of abstinent days over 12 months and frequency of abstinence.

RESULTS

The arms differed primarily in the heavy drinking category (intervention group 22.2%, TAU-only group 32.3%) in months 9-12. This is reflected by an odds ratio (OR) = 1.68, 95% confidence interval (CI) = 1.11-2.54, P = 0.015 for heavy drinking versus non-heavy drinking/abstinence. No difference between treatments was found with respect to any drinking versus abstinence (OR = 1.13). These results were confirmed by models adjusting for randomization strata.

CONCLUSIONS

In Germany, a 12-month mobile phone short messaging service-based intervention enhanced the reduction in heavy drinking for 1 year in routine care among adults with alcohol dependence discharged from inpatient alcohol detoxification.

Latent alcohol use patterns and their link to depressive symptomatology in medical care patients

AIMS

To investigate latent patterns of alcohol use and bingeing by gender and their association with depressive symptom severity and individual depressive symptoms.

DESIGN

Cross-sectional data were collected from January 2017 to March 2018 as part of a joint screening recruiting for different intervention studies.

SETTING

Ambulatory practices and general hospitals from three sites in Germany.

PARTICIPANTS

A total of 5208 male and 5469 female proactively recruited alcohol users aged 18-64 years.

MEASUREMENTS

Frequency and typical quantity of alcohol use, frequency of bingeing, alcohol-related problems (assessed by the Alcohol Use Disorder Identification Test); depressive symptom severity, individual depressive symptoms (assessed with the Patient Health Questionnaire-8); and socio-demographics and health-related variables.

FINDINGS

Latent categorical analysis identified six patterns of alcohol use, with the majority of patients engaging in 'light use plus no or occasional bingeing' (males: 41.85%; females: 64.04%), followed by 'regular use plus occasional bingeing' (males: 34.03%; females: 16.17%). Multinomial logistic regression analyses (three-step approach with correction for classification uncertainty, as implemented in the Mplus R3STEP command) controlling for socio-demographics and health-related variables revealed that severity of depressive symptoms was positively associated with 'frequent use plus frequent bingeing' when compared with 'light use plus no or occasional bingeing' [relative risk ratio (RRR)_male  = 1.07, 95% confidence interval (CI) = 1.03-1.11; RRR_female  = 1.09, 95% CI = 1.04-1.14]. Severity of depressive symptoms was negatively associated with 'regular use plus occasional bingeing' for males (RRR_male  = 0.98, 95% CI = 0.95-1.00) and positively with 'occasional use plus occasional bingeing' for females (RRR_female  = 1.03, 95% CI = 1.01-1.05) when compared with 'light use plus no or occasional bingeing'. Individual depressive symptoms were differentially associated with alcohol use patterns, with depressed mood, poor appetite or overeating, feelings of worthlessness or guilt and psychomotor agitation or retardation, being especially pronounced in the 'frequent use plus frequent bingeing' class (RRRs_male  = 1.72-2.36; RRRs_female  = 1.99-2.17).

CONCLUSIONS

Patterns of 'frequent alcohol use plus frequent bingeing' and 'occasional alcohol use plus occasional bingeing' appear to have positive associations with depression when compared with 'light alcohol use plus no or occasional bingeing'.

Sick days in general hospital patients two years after brief alcohol intervention: Secondary outcomes from a randomized controlled trial

Little is known about the long-term impact of brief alcohol interventions (BAIs) on health and on sick days in particular. The aim was to investigate whether BAIs reduce sick days in general hospital patients over two years, and whether effects depend on how BAIs are delivered; either through in-person counseling (PE) or computer-generated written feedback (CO). To investigate this, secondary outcome data from a three-arm randomized controlled trial with 6-, 12-, 18- and 24-month follow-ups were used. The sample included 960 patients (18-64 years) with at-risk alcohol use identified through systematic screening on 13 hospital wards. Patients with particularly severe alcohol problems were excluded. Participants were allocated to PE, CO and assessment only (AO). Both interventions were tailored according to behavior change theory and included three contacts. Self-reported number of sick days in the past 6 months was assessed at all time-points. A zero-inflated negative binomial latent growth model adjusted for socio-demographics, substance use related variables and medical department was calculated. In comparison to AO, PE (OR = 2.18, p = 0.047) and CO (OR = 2.08, p = 0.047) resulted in statistically significant increased odds of reporting no sick days 24 months later. Differences between PE and CO, and concerning sick days when any reported, were non-significant. This study provides evidence for the long-term efficacy of BAIs concerning health, and concerning sick days in particular. BAIs have the potential to reduce the occurrence of sick days over 2 years, independent of whether they are delivered through in-person counseling or computer-generated written feedback.

Do sociodemographic variables and cardiometabolic risk factors moderate the mere-measurement effect on physical activity and sedentary time?

Background

Participation in an assessment may change health behavior. This “mere-measurement effect” may be used for prevention purposes. However, little is known about whether individuals’ characteristics moderate the effect. The objective was to explore whether changes of physical activity (PA) and sedentary time (ST) after a cardiovascular assessment depend on sociodemographic variables and cardiometabolic risk factors.

Methods

A sample of n = 175 adults aged 40 to 65 received baseline assessment including self-administered PA and ST questionnaires and standardized measurement of blood pressure, waist circumference, and blood parameters. After 5 weeks, participants again reported PA and ST without any prior treatment or intervention. Linear regression models were used to analyze the dependence of five-week changes in PA and ST on baseline sociodemographic and cardiometabolic variables.

Results

Men increased transport-related PA more than women (b = 9.3 MET-hours/week, P = .031). Men with higher triglycerides increased transport-related PA less than men with lower triglycerides (b = − 5.6 MET-hours/week, P = .043). Men with higher systolic blood pressure reduced ST more than those with lower systolic blood pressure (b = − 35.7 min/week, P = .028). However, this linear association ceased to exist at a level of approximately 145 mmHg (b of squared association = 1.0, P = .080). A similar relationship was found for glycated hemoglobin and ST.

Conclusions

The findings suggest that sex and cardiometabolic risk factors moderate mere-measurement effects on PA and ST. Researchers and practitioners using mere measurement for prevention purposes may address PA and ST according to these individual characteristics.

Trial registration

ClinicalTrials.govNCT02990039. Registered 7 December 2016. Retrospectively registered.

Copattern of depression and alcohol use in medical care patients: cross-sectional study in Germany

OBJECTIVE

To predict depressive symptom severity and presence of major depression along the full alcohol use continuum.

DESIGN

Cross-sectional study.

SETTING

Ambulatory practices and general hospitals from three sites in Germany.

PARTICIPANTS

Consecutive patients aged 18-64 years were proactively approached for an anonymous health screening (participation rate=87%, N=12 828). Four continuous alcohol use measures were derived from an expanded Alcohol Use Disorder Identification Test (AUDIT): alcohol consumption in grams per day and occasion, excessive consumption in days per months and the AUDIT sum score. Depressive symptoms were assessed for the worst 2-week period in the last 12 months using the Patient Health Questionnaire (PHQ-8). Negative binomial and logistic regression analyses were used to predict depressive symptom severity (PHQ-8 sum score) and presence of major depression (PHQ-8 sum score≥10) by the alcohol use measures.

RESULTS

Analyses revealed that depressive symptom severity and presence of major depression were significantly predicted by all alcohol use measures after controlling for sociodemographics and health behaviours (p<0.05). The relationships were curvilinear: lowest depressive symptom severity and odds of major depression were found for alcohol consumptions of 1.1 g/day, 10.5 g/occasion, 1 excessive consumption day/month, and those with an AUDIT score of 2. Higher depressive symptom severity and odds of major depression were found for both abstinence from and higher levels of alcohol consumption. Interaction analyses revealed steeper risk increases in women and younger individuals for most alcohol use measures.

CONCLUSION

Findings indicate that alcohol use and depression in medical care patients are associated in a curvilinear manner and that moderation by gender and age is present.

Genome-wide association study of pathological gambling

Background

Pathological gambling is a behavioural addiction with negative economic, social, and psychological consequences. Identification of contributing genes and pathways may improve understanding of aetiology and facilitate therapy and prevention. Here, we report the first genome-wide association study of pathological gambling. Our aims were to identify pathways involved in pathological gambling, and examine whether there is a genetic overlap between pathological gambling and alcohol dependence.

Methods

Four hundred and forty-five individuals with a diagnosis of pathological gambling according to the Diagnostic and Statistical Manual of Mental Disorders were recruited in Germany, and 986 controls were drawn from a German general population sample. A genome-wide association study of pathological gambling comprising single marker, gene-based, and pathway analyses, was performed. Polygenic risk scores were generated using data from a German genome-wide association study of alcohol dependence.

Results

No genome-wide significant association with pathological gambling was found for single markers or genes. Pathways for Huntington's disease (P-value = 6.63 × 10−3); 5′-adenosine monophosphate-activated protein kinase signalling (P-value = 9.57 × 10−3); and apoptosis (P-value = 1.75 × 10−2) were significant. Polygenic risk score analysis of the alcohol dependence dataset yielded a one-sided nominal significant P-value in subjects with pathological gambling, irrespective of comorbid alcohol dependence status.

Conclusions

The present results accord with previous quantitative formal genetic studies which showed genetic overlap between non-substance- and substance-related addictions. Furthermore, pathway analysis suggests shared pathology between Huntington's disease and pathological gambling. This finding is consistent with previous imaging studies.

Mental disorders and total mortality after 20 years in an adult general population sample

Background.

General population data on associations between mental disorders and total mortality are rare. The aim was to analyze whether the number of mental disorders, single substance use, mood, anxiety, somatoform or eating disorders during the lifetime and whether treatment utilization may predict time to death 20 years later in the general adult population.

Methods.

We used data from the Composite International Diagnostic Interview, which includes DSM-IV diagnoses for substance use, mood, anxiety, somatoform, and eating disorders, for a sample of 4,075 residents in Germany who were 18–64 years old in 1996. Twenty years later, mortality was ascertained using the public mortality database for 4,028 study participants. Cox proportional hazards models were applied for disorders that existed at any time in life before the interview.

Results.

The data revealed increased hazard ratios (HRs) for number of mental disorders (three or more; HR 1.4; 95% confidence interval [CI] 1.1–1.9) and for single disorders (alcohol dependence, dysthymia, panic disorder with agoraphobia, and hypochondriasis), with the reference group being study participants who had not suffered from any of the mental disorders analyzed and with adjustments made for age, sex, and education. Among individuals with any mental disorder during their lifetimes, having been an inpatient in treatment for a mental disorder was related to a higher HR (2.2; CI 1.6–3.0) than was not having been in any treatment for a mental disorder.

Conclusions.

In this sample of adults in the general population, three or more mental disorders, alcohol dependence, dysthymia, panic disorder with agoraphobia, and hypochondriasis were related to premature death.

Behavioral health risk factor profiles in general hospital patients: identifying the need for screening and brief intervention

Background

Little is known about the clustering of behavioral health risk factors (HRFs), namely the occurrence of 16 specific combinations of tobacco smoking, at-risk alcohol use, overweight and physical inactivity in general hospital patients. Furthermore, social inequalities in HRFs, health and life expectancy are a major concern in public health. In order to establish the need for screening and intervention in general hospital care, the study aimed to determine the co-occurrence of HRFs in patients in four medical departments, and to investigate differences by gender, age and socio-economic characteristics.

Methods

Over 17 months, a systematic multiple HRF screening was conducted at one general hospital in northeastern Germany. In total, 6251 18–64 year old patients (92% of eligibles) participated. Proportions and confidence intervals were calculated for all 16 HRF profiles stratified by department, gender, age group, school education, and employment status.

Results

In total, 92.2% of the participants (58.6% male) reported ≥1 HRF, and 65.7% ≥2 HRFs. Men (71.2%), patients aged 35–49 (67.9%) and 50–64 years (69.5%), lower educated (79.0%), and unemployed (77.8%) patients had larger proportions of ≥2 HRFs than their counterparts. In all departments, the most common HRF profiles included overweight. HRF profiles that included alcohol and/ or smoking were more common in ear-nose-throat and trauma surgery than in internal medicine and general surgery patients. Men had higher rates concerning almost all HRF profiles including ≥2 HRFs and alcohol; women concerning profiles that included ≤2 HRFs and inactivity. In older patients, profiles with ≥2 HRFs including overweight; and in younger patients, profiles with smoking and/or alcohol were more common. In lower educated patients, profiles with ≥2 HRFs including inactivity; and in higher educated patients profiles with ≤2 HRFs including alcohol were more common. Compared to others, unemployed patients had higher rates of profiles with ≥3 HRFs including smoking.

Conclusions

Two in three patients require interventions targeting two or more HRFs. The findings help to develop screening and brief intervention for patients with specific health risk profiles, that can reach most patients, including those most in need and those most hard to reach, with socio-economically disadvantaged people in particular.

Registry

clinicaltrials.gov: NCT01291693.

Diagnostic performance of the Alcohol Use Disorders Identification Test (AUDIT) in detecting DSM-5 alcohol use disorders in the General population

OBJECTIVE

The Alcohol Use Disorders Identification Test (AUDIT) is an established screening questionnaire for the detection of at-risk drinking and possible alcohol use disorders (AUD) according to the Diagnostic and Statistical Manual of Mental Disorders - fourth edition (DSM-IV). But there are still no comparable results on the diagnostic performance regarding the new criteria for AUD in the Diagnostic and Statistical Manual of Mental Disorders - fifth edition (DSM-5), especially taking account of possible gender differences. We evaluated the performance of the full AUDIT and the consumption questions (AUDIT-C) in screening for DSM-5 AUD and at-risk drinking.

METHOD

Data from the study Transitions in Alcohol Consumption and Smoking (TACOS) is used to analyze the area under the receiver-operating characteristic curve, sensitivity, and specificity of the AUDIT and the AUDIT-C in the general population of northern Germany. DSM-5 AUD and at-risk drinking were assessed with the Munich-Composite Diagnostic Interview and used as gold standards.

RESULTS

The best balance between sensitivity and specificity is achieved at a score of 5 for men and 4 for women. High severity, according to DSM-5, were associated with higher cut-offs.

CONCLUSIONS

Both AUDIT versions are accurate in the screening for DSM-5 AUD. Since the proposed cut-offs do not differ from the optimal screening cut-offs for DSM-IV disorders, current screening procedures should not face major changes.