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Alcohol-related somatic disorders are highly prevalent among general hospital inpatients. Alcohol problem drinking can be differentiated into alcohol use disorders (alcohol dependence and alcohol abuse) and three subtypes of drinking above recommended levels (at-risk drinking only [AR], heavy episodic drinking only [HE], at-risk and heavy episodic drinking [ARHE]). The aims of this study were threefold. First, proportions of alcohol problem drinking among general hospital inpatients in a region of north-eastern Germany were estimated (study 1). Second, among individuals with alcohol problem drinking the association between beverage preference and alcohol-related diseases was tested (study 2). Third, subtype differences regarding demographics, alcohol-related variables, motivation to change drinking behaviors, and the risk to develop short-term alcohol dependence among the three subtypes of drinking above recommended levels were analyzed (study 3). The data presented in this dissertation are based on the randomized controlled trial “Early Intervention at General Hospitals”, which is part of the Research Collaboration Early Substance Use Intervention (EARLINT). Study 1 includes a sample of consecutively admitted general hospital inpatients between 18 and 64 years old (n = 14,332). The study adopted a two-stage-sampling approach: (a) screening and (b) ascertainment of alcohol problem drinking. Those who were identified with alcohol problem drinking were asked for written consent for further study participation. This included further baseline assessment, the consent to use routine treatment diagnoses and participation in a follow-up interview 12 months after hospitalization. For study 2, routine treatment diagnoses were provided by hospital physicians for a total of 1,011 men with problem drinking. These diagnoses were classified into three categories according to their alcohol-attributable fractions (AAF): diseases totally attributable to alcohol by definition (AAF=1), diseases partially attributable to alcohol (AAF<1) and diseases with no empirical relationship to alcohol or with a possibly protective effect associated with alcohol (AAF=0). Study 3 was restricted to study participants with drinking above recommended levels (n=425). Study 1: Among all general hospital inpatients, 8.9% were identified with current problem drinking in the following descending order: 5.3% exhibited alcohol use disorders and 3.6% drinking above recommended levels. Higher proportions of problem drinking were found at rural sites compared to urban sites (13.7 vs. 7.5%, p<.001). Study 2: Because of the low proportion of women with alcohol problem drinking the following analyses were restricted to males. Multinomial regression analyses revealed different risks for alcohol-related diseases in relation to beverage preference while controlling for alcohol-associated and demographic confounders. Compared to all other groups, spirits only drinkers had the highest risk for having a disease with AAF>0; e.g., beer only drinkers had lower odds of having a disease with AAF<1 (odds ratio, OR=0.50, 95% confidence interval, CI: 0.27-0.92). Study 3: Men with alcohol use disorder were excluded from the following analysis. At baseline, multinomial logistic regression revealed differences between individuals with AR, HE and ARHE while controlling for age. ARHE was associated with higher odds of having a more severe alcohol problem (OR=2.06, CI: 1.23-3.45), using formal help (OR=2.21, CI: 1.02-4.79), and having a disease with AAF=1 (OR=3.43, CI: 1.58-7.43), compared with AR. In addition, individuals with ARHE had higher odds of taking action to change drinking behaviors (i.e., beginning to implement change) than individuals with HE (OR=2.29, CI: 1.21-4.34) or AR (OR=2.11, CI: 1.15-3.86). At follow-up, individuals with ARHE had higher odds of having alcohol dependence according to the DSM-IV (OR=4.73, CI: 1.01–22.20) compared to individuals with AR. In addition to alcohol use disorders, drinking above recommended levels is a common problem among general hospital inpatients. Thus, the implementation of systematic alcohol screening and brief interventions should be considered. These data suggest an association between beverage preference and alcohol-related diseases. Among hospitalized problem drinkers, spirits only drinkers had the greatest risk of having diseases with AAF>0. Of the three subtypes of drinking above recommended levels, ARHE seems to be particularly problematic because there appears to be an indication of a subclinical diagnosis. To provide adequate intervention, clinical practice should distinguish between the three groups of drinking above recommended levels. Brief alcohol intervention should be tailored to the individual’s motivation to change and to the type of alcohol problem drinking. The effectiveness of such a procedure remains to be evaluated in further studies.
Background/Aims: Only rather few data on the validity of screening questionnaires to detect problem drinking in adolescents exist. The aim of this study was to compare the performance of the Alcohol Use Disorders Identification Test (AUDIT), its short form AUDIT-C, the Substance Module of the Problem Oriented Screening Instrument for Teenagers (POSIT), and CRAFFT (acronym for car, relax, alone, forget, family, and friends). Methods: The questionnaires were filled in by 9th and 10th graders from two comprehensive schools. All students received an interview using the alcohol section of the Composite International Diagnostic Interview. Alcohol abuse and alcohol dependence according to DSM-IV as well as episodic heavy drinking served as criteria to validate the screening instruments. Results: All 9th and 10th graders (n = 225) of both schools participated. No significant differences were found for areas under the receiver operating characteristic curves ranging from 0.810 to 0.872. Cronbach’s alpha was satisfactory (0.77–0.80) but poor for CRAFFT (0.64). Different cut-offs are discussed. Conclusions: Considering validity as well as reliability, AUDIT, AUDIT-C and POSIT performed well; however, the POSIT is quite lengthy. AUDIT-C showed good psychometric properties and has clear advantages because of its brevity.
This study aims to analyze psychometric properties and validity of the Compulsive Internet Use Scale (CIUS) and the Internet Addiction Test (IAT) and, second, to determine a threshold for the CIUS which matches the IAT cut-off for detecting problematic Internet use. A total of 292 subjects with problematic or pathological gambling (237 men, 55 women) aged 14-63 years and with private Internet use for at least 1 h per working or weekend day were recruited via different recruitment channels. Results include that both scales were internally consistent (Cronbach's α = 0.9) and had satisfactory convergent validity (r = 0.75; 95% CI 0.70-0.80). The correlation with duration of private Internet use per week was significantly higher for the CIUS (r = 0.54) compared to the IAT (r = 0.40). Among all participants, 25.3% were classified as problematic Internet users based on the IAT with a cut-off ≥40. The highest proportion of congruent classified cases results from a CIUS cut-off ≥18 (sensitivity 79.7%, specificity 79.4%). However, a higher cut-off (≥21) seems to be more appropriate for prevalence estimation of problematic Internet use.
Background: Common to most theory-based intervention approaches is the idea of supporting intentions to increase the probability of behavior change. This principle works only if (a) intentions can be explained by the hypothesized socio-cognitive constructs, and (b) people actually do what they intend to do. The overall aim of this thesis was to test these premises using two health behavior theories applied to reducing at-risk alcohol use. Method: The three papers underlying this thesis were based on data of the randomized controlled “Trial Of Proactive Alcohol interventions among job-Seekers” (TOPAS). A total of 1243 job-seekers with at-risk alcohol use were randomized to stage tailored intervention (ST), non-stage tailored intervention (NST), or control group. The ST participants (n = 426) were analyzed in paper 1. Paper 2 was based on the baseline and 3-month data provided by the NST participants (n = 433). Paper 3 was based on baseline, 3-, 6-, and 15-month data provided by the control and ST group not intending to change alcohol use (n = 629). Latent variable modeling was used to investigate the associations of social-cognitive constructs and intentional stages (paper 1), the extent to which intentions were translated into alcohol use (paper 2), and the different trajectories of alcohol use among people not intending to change as well as the ST effect on the trajectories (paper 3). Results: Persons in different intentional stages differed in the processes of change in which they engaged, in the importance placed by them on the pros and cons of alcohol use, and in the perceived ability to quit (ps < 0.01). The association between intentions and alcohol use was weak. The magnitude of this intention-behavior gap depended on the extent to which normative expectations have changed over time (p < 0.01) and was reduced when controlling for the mediating effect of temporal stability of intentions. The gap was also present among people not intending to change: Even without intervention, 35% of the persons reduced the amount of alcohol use after 15 months (p < 0.05) and 2% achieved abstinence. Persons with heavier drinking (33%) and persons with low but frequent use (30%) did not change. Persons with frequent alcohol use seem to benefit less from ST than those with occasional use, although differences were not statistically significant. Conclusions: Intentions can be quite well explained by the hypothesized socio-cognitive constructs. In a sample of persons who were, as a whole, little motivated to change, the precision of how well intentions predict subsequent alcohol use was modest though. Time and socio-contextual influences should be considered.
Background: Cardiovascular disease (CVD) remains the major cause of mortality and morbidity worldwide and produces large productivity loss. The majority of CVD mortality could be prevented with changes in modifiable risk factors including tobacco use, physical inactivity, unhealthy diet and harmful use of alcohol. Successful behavioral prevention of CVD requires the identification of relevant target behaviors and reach of populations at risk. Presenteeism i.e. attending work while ill is discussed as a work-related risk factor for CVD. However, little is known about the interplay of presenteeism with established health risk behaviors. The first aim of this dissertation was to examine the association of presenteeism with health behaviors (study 1). The second aim was to examine factors that can enhance the public health impact of CVD prevention efforts. Therefore, the effect of recruitment strategy used on reach (study 2) and of communication channel used on intervention usage (study 3) was examined. Methods: Study 1 comprised data from 710 Australian employees aged 18 years and older who completed an online-survey. Linear regression analysis was used to examine the association of health behaviors (physical activity, work and non-work-related sitting time, sleep duration and sleep quality) with presenteeism. For study 2 individuals aged 40-65 years were invited to a two-stage cardio-preventive program including an on-site health screening and a cardiovascular examination program (CEP) using face-to-face recruitment in general practices (n = 671) and job centers (n = 1,049), and mail invitations from a health insurance company (n = 894). Recruitment strategies were compared regarding three aspects of reach: (1) participation rate, (2) participants’ characteristics i.e. socio-demographics, self-reported health and CVD risk factors, and (3) predictors of program participation. Study 3 compromised 16,948 users (aged 18 years and older) of the feely available physical activity promotion program 10,000 Steps. Users were grouped based on which platform (website, app) they logged their physical activity: Web-only, App-only, or Web-and-app. Groups were compared on socio-demographics, engagement parameters and logged physical activity. Non-usage attrition i.e. discontinued program usage over the first three months was examined using Kaplan-Meier survival curves. A Cox regression model was used to determine predictors of non-usage attrition. Results: Analyses from study 1 revealed that presenteeism was associated with poor sleep quality and suboptimal sleep duration after controlling for socio-demographics, work and health-related variables. Engaging in three health risk behaviors was associated with higher presenteeism compared with engaging in none or one. Study 2 showed screening participation rates of 56.0%, 32.8%, 23.5% for general practices, job centers and the health insurance company, respectively. Participation rate for the CEP among eligible individuals was 80.3%, 65.5%, and 96.1%, respectively. Job center clients showed the lowest socio-economic status and the most adverse CVD risk pattern. Whereas being female predicted screening participation across all strategies, higher age predicted screening participation only within individuals recruited via the health insurance company. Within general practices and job centers CEP participants were less likely to be smokers than non-participants. Study 3 revealed that engagement with the program was highest for Web-and-app users. Cox regression showed that user group predicted non-usage attrition: Web-and-app users (hazard ratio = 0.86; P < .001) and App-only users (hazard ratio = 0.63; P < .001) showed a reduced attrition risk compared to Web-only users. Further, older age, being male, being non-Australian, higher program engagement and higher number of steps logged were associated with reduced non-usage attrition risk. Conclusion: The results of this dissertation have three implications for designing CVD behavioral interventions with a high public health impact. First, employees suffering from presenteeism may require interventions addressing health risk behaviors including suboptimal sleep behaviors. Second, implementing prevention efforts in job centers may be especially useful to reduce health inequalities induced by social gradient. Third, the population impact of web-based interventions may be increased when using mobile delivery channels.
Medical education research has focused almost entirely on the education of future physicians. In comparison, findings on other health-related occupations, such as medical assistants, are scarce. With the current study, we wanted to examine the knowledge-is-power hypothesis in a real life educational setting and add to the sparse literature on medical assistants. Acquisition of vocational knowledge in vocational education and training (VET) was examined for medical assistant students (n = 448). Differences in domain-specific vocational knowledge were predicted by crystallized and fluid intelligence in the course of VET. A multiple matrix design with 3 year-specific booklets was used for the vocational knowledge tests of the medical assistants. The unique and joint contributions of the predictors were investigated with structural equation modeling. Crystallized intelligence emerged as the strongest predictor of vocational knowledge at every stage of VET, while fluid intelligence only showed weak effects. The present results support the knowledge-is-power hypothesis, even in a broad and more naturalistic setting. This emphasizes the relevance of general knowledge for occupations, such as medical assistants, which are more focused on learning hands-on skills than the acquisition of academic knowledge.
Background: Sedentary behavior (SB) is a modifiable behavior with increasing prevalence worldwide. There is emerging evidence that time spend in SB and the manner in which SB is accumulated over time is associated with cardiovascular and cardiometabolic health. The requirement for SB data to be accurately measured is minimization, or at least accurate quantification of human-related sources of measurement errors such as accelerometer measurement reactivity (AMR). The present thesis was to examine SB and their associations with cardiovascular and cardiometabolic health, and to focus on challenges related to the assessment of SB. The first aim of the thesis was to identify patterns of SB describing how individuals accumulate their time spend in SB day-by-day over one week, and to examine how these patterns are associated with cardiorespiratory fitness as a marker for cardiovascular health (paper 1). The second aim of the thesis was to examine the multiple types of SB, and how this is associated with a clustered cardiometabolic risk score (CMRS; paper 2). The third aim of the thesis was to examine AMR and the reproducibility in SB and physical activity (PA) in two measurement periods, and to quantify AMR as a confounder for the estimation of the reproducibility of SB and PA data (paper 3).
Methods: The three papers were based on data of two different studies. For study 1, 1165 individuals aged 40 to 75 years were recruited in three different settings. Among these, 582 participated in a cardiovascular risk factor screening program including cardiopulmonary exercise testing. For the analyses of paper 1, 170 participants were eligible, agreed to wear an accelerometer, fulfilled the wearing regime, and completed the study period by wearing the accelerometer for seven consecutive days. Patterns in accelerometer data were classified based on time spent in SB per day applying growth mixture modeling. Model‐implied class‐specific peak oxygen uptake (VO2peak) means were compared using adjusted equality test of means (paper 1). The underlying study of paper 2 and 3 were based on data of a pilot study aiming to investigate the feasibility of a brief tailored letter intervention to increase PA and to reduce SB during leisure time. Among the individuals who agreed to be contacted again in study 1, a random sample of those aged between 40 and 65 years was drawn. Of those, 175 attended in a cardiovascular examination program. Assessment included giving blood sample, standardized measurement of blood pressure, waist circumference, body weight, and height at baseline, and after twelve months. Further, they agreed to complete a paper-pencil questionnaire on SB (Last 7-d Sedentary Behavior Questionnaire, SIT-Q-7d) and PA (International Physical Activity Questionnaire, IPAQ), and to receive seven-day accelerometery at baseline, and after 12 months. In addition, self-administered assessments were conducted at months one, three, four, and six after baseline. Only individuals of a random subsample (= intervention group) received up to three letters tailored to their self-reported SB and PA at months one, three, and four. For paper 2, associations between SBs and a clustered cardiometabolic risk score (CMRS) were analyzed using linear as well as quantile regression. To account for missing values at baseline, multiple imputations using chained equations were performed resulting in a total sample of 173 participants. Paper 3 comprised data of 136 individuals who participated at the baseline and twelve months assessments, and fulfilled the wearing regime. AMR was examined using latent growth modeling in each measurement period. Intraclass correlations (ICC) were calculated to examine the reproducibility of SB and PA data using two-level mixed-effects linear regression analyses.
Results: Results of paper 1 revealed four patterns of SB: 'High, stable', 'Low, increase', 'Low, decrease', and 'High, decrease'. Persons in the class 'High, stable' had significantly lower VO2peak values (M = 25.0 mL/kg/min, SD = 0.6) compared to persons in the class 'Low, increase' (M = 30.5 mL/kg/min, SD = 3.6; p = 0.001), in the class 'Low, decrease' (M = 30.1 mL/kg/min, SD = 5.0; p = 0.009), and in the class High, decrease' (M = 29.6 mL/kg/min, SD = 5.9; p = 0.032), respectively. No differences among the other classes were found. In paper 2, results revealed that the only factor positively associated with a CMRS in all regression models was watching television. Depending on the regression analysis approach used, other leisure-time SBs showed inconsistent (using a computer), or no associations (reading and socializing) with a CMRS. In paper 3, results revealed that time spent in SB increased (baseline: b = 2.3 min/d; after 12 months: b = 3.8 min/d), and time spent in light PA decreased (b = 2.0 min/day; b = 3.3 min/d). However, moderate-to-vigorous PA remained unchanged. Accelerometer wear time was reduced (b = 4.6 min/d) only at baseline. The ICC coefficients ranged from 0.42 (95% CI = 0.29 - 0.57) for accelerometer wear time to 0.70 (95% CI = 0.61 - 0.78) for moderate-to-vigorous PA. None of the regression models identified a reactivity indicator as a confounder for the reproducibility of SB and PA data.
Conclusions: The present thesis highlights SB in the field of cardiovascular and cardiometabolic research that have implications for future research. Individuals sit for different purposes and durations in multiple life domains, and the time spent in SB is accumulated in different patterns over time. Therefore, research should consider the fact that SB is embedded in an individual's daily life routine, hence might have differential effects on cardiovascular and cardiometabolic health. Further, methodological aspects have to be considered when dealing with SB. In order to detect how SB is 'independently' associated to an individual's health, an accurate measurement of SB is fundamental. Therefore, human-related sources of bias such as AMR should be taken into account when either planning studies or when interpreting data drawn from analysis of SB data.