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.

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.

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.

Maternal socioeconomic and lifestyle factors and life dissatisfaction associated with a small for gestational age infant. The Survey of Neonates in Pomerania (SNiP).

PURPOSE: The aim is to investigate the associations of the mother's socioeconomic and lifestyle factors and life satisfaction with the delivery of a small for gestational age (SGA) infant. METHODS: Data from 4598 participants of the population-based birth cohort study Survey of Neonates in Pomerania (SniP) including comprehensive information on pregnancies, mothers, and their offspring in Western Pomerania, Germany were used in this study. The associations were analyzed using linear and logistic regression models. RESULTS: After logistic regression analysis adjusted for height of the mother, women who delivered SGA infants, had lower education (p < 0.01) and smoked more frequently during pregnancy (p < 0.01) compared with mothers of adequate for gestational age (AGA) neonates. A mother with less than 10 years of education and one who continued smoking during pregnancy had an odds ratio (OR) of 2.23 [95% confidence interval (CI) = 1.44 to 3.46] and 2.68 (95% CI = 2.06-3.49) of having an SGA infant, respectively. There was no association between the employment of the mother (p = 0.28), the monthly income (p = 0.09), the family status (p = 0.80), the number of friendships outside the household that the mother would not wish to relinquish (p = 0.47), the number of people that she could rely on in case of an emergency (p = 0.75), or alcohol consumption prior to (p = 0.14) or during the pregnancy (p = 0.99) with SGA. Finally, women who delivered SGA infants were more frequently dissatisfied with their employment (p = 0.03) and financial status (p < 0.01). CONCLUSIONS: Women who delivered SGA infants had more associated socioeconomic and lifestyle risk factors and were more frequently dissatisfied with their life conditions than mothers of AGA neonates.

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.

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.

Validation of the psychometric properties of a "Modified Version of the Hornheider Screening Instrument" (HSI-MV) using a sample of outpatient and inpatient skin tumor patients.

BACKGROUND: The basis for adequate psycho-oncological care is the identification of patients with psychosocial support needs. The German Working Group for Psychooncology also recommends the Hornheider Screening Instrument (HSI) for this purpose. The question, "Is anyone in your family particularly burdened by the hospital stay?" is intended to capture disease-related family stress. But is this item equally suitable for outpatients and inpatients? The study objective was to examine how replacing the original item affects the test performance of this modified version of the HSI and the frequency of psychosocial stress. PATIENTS AND METHODS: 92 outpatients and 98 inpatients with skin tumors assessed their psychosocial situation using different questionnaires. RESULTS: Compared to inpatients, less than half as many outpatients answered the item in the affirmative. If the question was replaced by: "Is someone in your family particularly burdened by your disease or the course of the disease?" this setting-related difference did not arise. The "Alternative item" and the "Modified version of the HIS" (HSI-MV) proved to be superior to the original item and the original HSI with regard to all examined criteria. CONCLUSIONS: The HSI-MV can be used as a reliable and valid instrument for the systematic assessment of psychosocial care needs in outpatient and inpatient settings. Depending on care capacity, a threshold of ≥ 5 or ≥ 4 is appropriate. In addition to screening, the desire for support should be enquired.

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.

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.

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; RRRfemale  = 1.09, 95% CI = 1.04-1.14]. Severity of depressive symptoms was negatively associated with 'regular use plus occasional bingeing' for males (RRRmale  = 0.98, 95% CI = 0.95-1.00) and positively with 'occasional use plus occasional bingeing' for females (RRRfemale  = 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 (RRRsmale  = 1.72-2.36; RRRsfemale  = 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.