Development and Validation of the Trait Sexual Motivation Scale (TSMS).

Sexual motivation, the interest in sexual activity, affects people's thinking, feeling, and behavior. Common scales used to assess sexual motivation suffer from drawbacks that limit their validity and applicability. We therefore developed and validated the Trait Sexual Motivation Scale (TSMS), a brief, theory-driven self-report scale, over the course of four preregistered studies (Ntotal = 2,083). Results indicated good model fit, high internal consistency and stability of the second-order (i.e., trait sexual motivation) and first-order (i.e., cognition, affect, behavior) factor scores, and scalar measurement invariance for gender and relationship status. The TSMS correlated as expected with sexual and non-sexual constructs and predicted sexual outcomes cross-sectionally and prospectively in everyday life. Overall, the TSMS emerged as an economical, reliable, and valid measure of sexual motivation.

Leveraging Single-Case Experimental Designs to Promote Personalized Psychological Treatment: Step-by-Step Implementation Protocol with Stakeholder Involvement of an Outpatient Clinic for Personalized Psychotherapy.

Our objective is to implement a single-case experimental design (SCED) infrastructure in combination with experience-sampling methods (ESM) into the standard diagnostic procedure of a German outpatient research and training clinic. Building on the idea of routine outcome monitoring, the SCED infrastructure introduces intensive longitudinal data collection, individual effectiveness measures, and the opportunity for systematic manipulation to push personalization efforts further. It aims to empower psychotherapists and patients to evaluate their own treatment (idiographic perspective) and to enable researchers to analyze open questions of personalized psychotherapy (nomothetic perspective). Organized around the principles of agile research, we plan to develop, implement, and evaluate the SCED infrastructure in six successive studies with continuous stakeholder involvement: In the project development phase, the business model for the SCED infrastructure is developed that describes its vision in consideration of the context (Study 1). Also, the infrastructure's prototype is specified, encompassing the SCED procedure, ESM protocol, and ESM survey (Study 2 and 3). During the optimization phase, feasibility and acceptability are tested and the infrastructure is adapted accordingly (Study 4). The evaluation phase includes a pilot implementation study to assess implementation outcomes (Study 5), followed by actual implementation using a within-institution A-B design (Study 6). The sustainability phase involves continuous monitoring and improvement. We discuss to what extent the generated data could be used to address current questions of personalized psychotherapy research. Anticipated barriers and limitations during the implementation processes are outlined.

Using Smartphone Sensor Paradata and Personalized Machine Learning Models to Infer Participants' Well-being: Ecological Momentary Assessment.

BACKGROUND: Sensors embedded in smartphones allow for the passive momentary quantification of people's states in the context of their daily lives in real time. Such data could be useful for alleviating the burden of ecological momentary assessments and increasing utility in clinical assessments. Despite existing research on using passive sensor data to assess participants' moment-to-moment states and activity levels, only limited research has investigated temporally linking sensor assessment and self-reported assessment to further integrate the 2 methodologies. OBJECTIVE: We investigated whether sparse movement-related sensor data can be used to train machine learning models that are able to infer states of individuals' work-related rumination, fatigue, mood, arousal, life engagement, and sleep quality. Sensor data were only collected while the participants filled out the questionnaires on their smartphones. METHODS: We trained personalized machine learning models on data from employees (N=158) who participated in a 3-week ecological momentary assessment study. RESULTS: The results suggested that passive smartphone sensor data paired with personalized machine learning models can be used to infer individuals' self-reported states at later measurement occasions. The mean R2 was approximately 0.31 (SD 0.29), and more than half of the participants (119/158, 75.3%) had an R2 of ≥0.18. Accuracy was only slightly attenuated compared with earlier studies and ranged from 38.41% to 51.38%. CONCLUSIONS: Personalized machine learning models and temporally linked passive sensing data have the capability to infer a sizable proportion of variance in individuals' daily self-reported states. Further research is needed to investigate factors that affect the accuracy and reliability of the inference.

Turning Good Intentions Into Actions by Using the Health Action Process Approach to Predict Adherence to Internet-Based Depression Prevention: Secondary Analysis of a Randomized Controlled Trial.

BACKGROUND: Many individuals engaging in Internet-based interventions fail to complete these treatments as intended. The processes responsible for treatment adherence in Internet-based interventions are still poorly understood. OBJECTIVE: The aim of this study was to investigate to what extent adherence in an Internet-based intervention can be predicted by motivational and volitional factors outlined in the health action process approach (HAPA). METHODS: This study investigated motivational and volitional factors included in HAPA in a randomized controlled trial to predict treatment adherence of N=101 individuals with subclinical depression in the intervention group of a depression prevention intervention (GET.ON Mood Enhancer). Adherence was operationalized as the number of completed treatment modules. Using longitudinal structural equation modeling, HAPA variables (motivational, maintenance, and recovery self-efficacy, outcome expectancies, intention, and planning) were assessed at baseline and their associations with adherence 7 weeks later. RESULTS: Planning predicted adherence. Better planning was, in turn, associated with higher levels of maintenance self-efficacy, and the latter significantly affected treatment adherence via planning. The other hypothesized direct associations were not significant. In total, the HAPA variables accounted for 14% of variance in treatment adherence. CONCLUSIONS: Planning emerged as the strongest predictor of treatment adherence in highly motivated participants in an Internet-based intervention out of all HAPA variables investigated. Findings are in line with the hypothesis that planning facilitates the translation of good intentions into actions. The findings imply that systematically fostering planning skills and maintenance self-efficacy prior to or during Internet-based interventions would help participants to successfully complete these treatments. TRIAL REGISTRATION: German Clinical Trials Register DRKS00005973; https://www.drks.de/drks_web/navigate.do? navigationId=trial.HTML&TRIAL_ID=DRKS00005973 (Archived by WebCite at http://www.webcitation.org/6uxCy64sy).

Reliability and Validity of Assessing User Satisfaction With Web-Based Health Interventions.

BACKGROUND: The perspective of users should be taken into account in the evaluation of Web-based health interventions. Assessing the users' satisfaction with the intervention they receive could enhance the evidence for the intervention effects. Thus, there is a need for valid and reliable measures to assess satisfaction with Web-based health interventions. OBJECTIVE: The objective of this study was to analyze the reliability, factorial structure, and construct validity of the Client Satisfaction Questionnaire adapted to Internet-based interventions (CSQ-I). METHODS: The psychometric quality of the CSQ-I was analyzed in user samples from 2 separate randomized controlled trials evaluating Web-based health interventions, one from a depression prevention intervention (sample 1, N=174) and the other from a stress management intervention (sample 2, N=111). At first, the underlying measurement model of the CSQ-I was analyzed to determine the internal consistency. The factorial structure of the scale and the measurement invariance across groups were tested by multigroup confirmatory factor analyses. Additionally, the construct validity of the scale was examined by comparing satisfaction scores with the primary clinical outcome. RESULTS: Multigroup confirmatory analyses on the scale yielded a one-factorial structure with a good fit (root-mean-square error of approximation =.09, comparative fit index =.96, standardized root-mean-square residual =.05) that showed partial strong invariance across the 2 samples. The scale showed very good reliability, indicated by McDonald omegas of .95 in sample 1 and .93 in sample 2. Significant correlations with change in depressive symptoms (r=-.35, P<.001) and perceived stress (r=-.48, P<.001) demonstrated the construct validity of the scale. CONCLUSIONS: The proven internal consistency, factorial structure, and construct validity of the CSQ-I indicate a good overall psychometric quality of the measure to assess the user's general satisfaction with Web-based interventions for depression and stress management. Multigroup analyses indicate its robustness across different samples. Thus, the CSQ-I seems to be a suitable measure to consider the user's perspective in the overall evaluation of Web-based health interventions.

Mindfulness and cognitive-behavioral strategies for psychological detachment: Comparing effectiveness and mechanisms of change.

Recovering from work is essential for maintaining occupational well-being, health, motivation, and performance, but recovery is often difficult to achieve. In this study, we evaluated and compared the effectiveness of two (parallel) interventions aimed at promoting recovery: one based on mindfulness and one involving applying cognitive-behavioral strategies. Both interventions were embedded in a measurement burst design, which allowed us to examine the mechanisms underlying change or intervention success. To explore mechanisms of change, we used the stressor-detachment model as a theoretical framework. We operationalized the interventions' effects in three ways: as changes from pretest to posttest, as changes in daily states, and as changes in daily associations. To this end, we used intensive longitudinal data to examine the roles that daily negative activation plays in detachment and strain. In a randomized controlled trial (N = 393), we administered three assessments of traits: pretest, posttest (8 weeks later), and follow-up (3 months after the posttest). We also administered 2 work weeks of experience sampling questionnaires (preintervention and postintervention). Latent change models and Bayes factor equivalence tests revealed that both interventions substantially-and to a similar extent-increased detachment. Bayesian multilevel path models showed improvements in all state variables, including improvements in negative activation, and provided some evidence that mindfulness-based and cognitive-behavioral approaches might tackle different processes at the daily level. We discuss theoretical implications for the literature on recovery from work and specifically for the stressor-detachment model. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Childhood maltreatment is linked to larger preferred interpersonal distances towards friends and strangers across the globe.

Childhood maltreatment (CM) is thought to be associated with altered responses to social stimuli and interpersonal signals. However, limited evidence exists that CM is linked to larger comfortable interpersonal distance (CID) - the physical distance humans prefer towards others during social interactions. However, no previous study has investigated this association in a comprehensive sample, yielding sufficient statistical power. Moreover, preliminary findings are limited to the European region. Finally, it is unclear how CM affects CID towards different interaction partners, and whether CID is linked to social functioning and attachment. To address these outstanding issues, adults (N = 2986) from diverse cultures and socio-economic strata completed a reaction time task measuring CID towards an approaching stranger and friend. Higher CM was linked to a larger CID towards both friends and strangers. Moreover, insecure attachment and less social support were associated with larger CID. These findings demonstrate for the first time that CM affects CID across countries and cultures, highlighting the robustness of this association.

Heterogeneity in mental health change during the COVID-19 pandemic in Germany: The role of social factors.

The COVID-19 pandemic constitutes a prolonged global crisis, but its effects on mental health seem inconsistent. This inconsistency highlights the importance of considering the differential impact of the pandemic on individuals. There is some evidence that mental health trajectories are heterogeneous and that both sociodemographic and personal characteristics are associated with higher risk for mental health issues. By contrast, information on the role of social factors as potential determinants of initial reactions to the pandemic and on heterogeneous trajectories over time is lacking. We analysed seven assessments of a large-scale (N = 2203) longitudinal study across 1.5 years, beginning in March 2020. Using self-report data on mental health and life satisfaction, we applied latent change models to examine initial reactions and mean changes across the pandemic. In addition, we applied latent class growth analyses to investigate whether there were distinct groups with different patterns of change. Results showed that on average, levels of life satisfaction and anxiety decreased (d = -0.31 and d = -0.11, respectively), levels of depressive symptoms increased (d = 0.13), and stress levels remained unchanged (d = -0.01) during the first year of the pandemic. For each outcome, we identified four distinct mental health trajectories. Between 5% (for anxiety) and 11% (for life satisfaction) of the sample reported consistently high-and even increasing-impairments in mental health and well-being. The trajectories of a sizeable number of people covaried with the course of the pandemic, such that people experienced better mental health when the number of COVID cases was low and when fewer restrictions were placed on public life. Low emotional support, high instrumental support, and the tendency to compare oneself with others were associated with more mental health issues. Findings show that whereas a substantial portion of people were largely unaffected by the pandemic, some individuals experienced consistently high levels of psychological distress. Social factors appear to play a crucial role in the maintenance of well-being.

On the asymmetry of losses and gains: Implications of changing work conditions for well-being.

There is sample evidence that work conditions affect employees' well-being. Losses in work quality (increased job stressors and reduced job resources) are thought to be related to deteriorations in well-being, whereas gains in work quality (reduced job stressors and increased job resources) are believed to improve well-being. The way most previous studies tested linkages between work conditions and well-being assumes that as much as a loss in work quality harms well-being, a gain in work quality results in an improvement. However, Hobfoll's conservation of resources (COR) theory argues that losses have a stronger impact than gains do. To date, this assumption still awaits a thorough empirical test. Using data from three longitudinal studies (Ns = 10,756, 579, and 2,441), we investigated the effects of changes in work conditions on well-being. Changes in work conditions were related to changes in well-being, and these relationships were weaker with longer time lags. Moreover, in line with COR theory, our analyses suggested that the effect of a loss in work quality was generally stronger than the effect of a gain. Interestingly, however, we found a more consistent pattern for the effect of certain stressors (e.g., social stressors) than others (e.g., workload). By testing a central principle of COR theory, this research advances theoretical understanding of how work affects well-being. Furthermore, by revealing that previous studies may have underestimated the detrimental effects of deteriorating work conditions and overestimated the positive effects of improved work conditions on well-being, this research also has implications for organizational interventions. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

No party no joy?-Changes in university students' extraversion, neuroticism, and subjective well-being during two COVID-19 lockdowns.

The COVID-19 lockdowns represent a major life event with an immense impact on university students' lives. Findings prior to the pandemic suggest that changes in personality and subjective well-being (SWB) can occur after critical life events or psychological interventions. The present study examined how university students' extraversion, neuroticism, and SWB changed during two COVID-19 lockdowns in Germany. To this end, we conducted a partly preregistered, two-cohort study with four measurement points each from October 2019 to May 2021 (NStudy 1 = 81-148, NStudy 2 = 82-97). We used both multilevel contrast analyses and multi-group random-intercept cross-lagged panel models to examine within-person changes over time. Levels of life satisfaction, extraversion, and, unexpectedly, neuroticism were lower during both lockdowns. Students' affect improved during the first but deteriorated during the second lockdown, suggesting that similar experiences with the deceleration of daily life were associated with different affective outcomes during the two lockdown periods. Following the introduction or termination of a lockdown, changes in extraversion (neuroticism) were consistently positively (negatively) associated with changes in SWB. Our results stress the importance of disentangling between- and within-person processes and using pre-COVID baseline levels to examine changes in personality and SWB.

Promoting recovery in daily life: study protocol for a randomized controlled trial.

BACKGROUND: Work-related stress shows steadily increasing prevalence rates and has tangible consequences for individual workers, their organizations, and society as a whole. One mechanism that may help offset the negative outcomes of work-related stress on employees' well-being is recovery. Recovery refers to the experience of unwinding from one's job when not at work. However, employees who experience high levels of work-related stress and are thus particularly in need of recovery tend to struggle to switch-off. Due to the detrimental effects of this prolonged and sustained mental representation of job stressors, interventions promoting recovery may contribute to improvements in employees' mental health. METHODS: In this randomized, waitlist controlled trial, we will investigate the effectiveness of two 6-week online training programs (cognitive behavioral and mindfulness-based). The sample will include employees working at least part-time during regular work hours. Besides the pre-post-follow-up assessments, the trial will include measurement bursts with the goal of examining the underlying mechanisms. We expect that both interventions will reduce work-related perseverative thinking (PT) compared with the waitlist control groups (primary outcome). Also, we expect that both interventions will result in similar improvements, but the underlying mechanisms will differ (process outcomes). In the cognitive-behavioral intervention group, we expect that the main mechanism responsible for lower PT levels will be an increase in recovery experiences across time. In the mindfulness-based group, we expect that the main mechanism responsible for lower PT levels will be an increase in facets of mindfulness across time. DISCUSSION: In the present study, we will investigate mechanisms underlying assumed changes in work-related PT in great detail. Besides evaluating the overall effectiveness of the two interventions in terms of pre-post-follow-up changes, we will look at the underlying processes at different levels-that is, within days, within weeks, across weeks, and between individuals. Accordingly, our study will offer a fine-grained approach to investigating potential determinants, mediators, and moderators of the processes that may, in the end, be responsible for work-related strain. From a public health perspective, if effective, the online training programs may offer valuable, low-threshold, and low-intensity interventions for a broad range of occupations. Trial registration German Clinical Trials Registration: DRKS00024933. Registered prospectively 7 April 2021. https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00024933.

The Role of Trait and State Perfectionism in Psychological Detachment From Daily Job Demands.

Psychological detachment has been proposed to be a mediator of the relations between an individual's responses to stressful work-related experiences and mid- and long-term health. However, the number of studies that have specifically examined the role that personal characteristics play in these associations is considerably small. One personal characteristic that might specifically interfere with psychological detachment is perfectionism, which has been considered an important vulnerability factor for the development of psychological disorders. Hence, the goal of this registered report was to extend research on psychological detachment by introducing trait and state perfectionism as moderators of the aforementioned relations. We conducted an experience sampling study with three measurement occasions per day over the course of 3 working weeks (N = 158 employees; Mage = 41.6; 67% women). Multilevel path models showed that perfectionistic concerns consistently determined strain responses at between- and within-levels of analyses even after the effects of job demands (i.e., unfinished tasks and role ambiguity) and detachment were accounted for. However, we found no evidence for the proposed moderation effects. The theoretical implications for the understanding of the processes proposed in the stressor-detachment model are discussed.

The German Version of the Perceived Stress Scale (PSS-10): Evaluation of Dimensionality, Validity, and Measurement Invariance With Exploratory and Confirmatory Bifactor Modeling.

The Perceived Stress Scale (PSS) is a popular instrument for measuring the degree to which individuals appraise situations in their lives as excessively uncontrollable and overloaded. Despite its widespread use (e.g., for evaluating intervention effects in stress management studies), there is still no agreement on its factor structure. Hence, the aim of the present study was to examine the dimensionality, measurement invariance (i.e., across gender, samples, and time), reliability, and validity of the PSS. Data from 11,939 German adults (73% women) were used to establish an exploratory bifactor model for the PSS with one general and two specific factors and to cross-validate this model in a confirmatory bifactor model. The model displayed strong measurement invariance across gender and was replicated in Study 2 in data derived from six randomized controlled trials investigating a web-based stress management training. In Study 2 (overall N = 1,862), we found strong temporal invariance. Also, our analyses of concurrent and predictive validity showed associations with depressive symptoms, anxiety, and insomnia severity for the three latent PSS factors. These results show the implications of the bifactor structure of the PSS that might be of consequence in empirical research.

A German version of the Three-Dimensional Work Fatigue Inventory (3D-WFI): Factor structure, internal consistency, and correlates.

Work fatigue represents an essential construct for understanding employee health and safety. In this study, we developed and explored the psychometric properties of a German version of the Three-Dimensional Work Fatigue Inventory and examined a set of hypothesized correlates of work fatigue. Data came from a sample of 439 German workers. Consistent with the original measure, confirmatory factor analyses supported a three-factor solution (physical, mental, and emotional work fatigue), and estimates of internal consistency reliability exceeded .90 for each dimension of work fatigue. The measure demonstrated a meaningful pattern of associations with predictors (time pressure, job control, psychological detachment, relaxation, and trait negative and positive affect) and an important outcome (work engagement). The German Three-Dimensional Work Fatigue Inventory will encourage research on an essential construct for employee health and safety using broader populations of workers.

Dimensions of coping in chronic pain patients: factor analysis and cross-validation of the German version of the Coping Strategies Questionnaire (CSQ-D).

PURPOSE: The Coping Strategies Questionnaire (CSQ) by Rosenstiel and Keefe (1983) is one of the most widely used measures of coping strategies in pain patients, although its construct and factorial validity is dissatisfying. Verra, Angst, Lehmann, and Aeschlimann (2006) translated the full measure, which assesses eight different coping strategies, into German (CSQ-D). Our aim was to identify stable latent dimensions and present a shorter and more valid version of the CSQ-D. METHODS: A principal axes factor analysis (PFA) and a confirmatory factor analysis (CFA) were performed for specification and cross-validation of the new model. Thus, two independent samples of patients with fibromyalgia-like symptoms (n = 321, n = 162) completed questionnaire batteries that included the CSQ-D and measures of fibromyalgia (FM) impact, pain, depression, and anxiety. RESULTS: The most interpretable result appeared to be a six-factor model with an acceptable fit. The first four factors, (1) Catastrophizing, (2) Ignoring Pain, (3) Diversion, and (4) Reinterpreting Pain, resemble the original scales by Rosenstiel and Keefe (1983). The Praying or Hoping scale split up into distinct (5) Praying and (6) Hoping dimensions. Except Praying, all coping strategies were significantly associated with measures of psychological health outcomes, pain, overall FM impact, or social support. CONCLUSIONS: The new short form, called CSQ-DS, is a valid and reliable instrument, composed of 26 items and assessing six coping strategies. Future investigations are recommended to further prove both the external and construct validity of the CSQ-DS.

Sleep Characteristics, Sleep Problems, and Associations to Quality of Life among Psychotherapists.

Sleep problems, especially insomnia, are a common complaint among adults. International studies have shown prevalence rates between 4.7 and 36.2% for sleep difficulties in general, whereas 13.1-28.1% report insomnia symptoms. Sleep problems are associated with lower social and academic performance and can have a severe impact on psychological and physical health. Psychotherapists are suppliers within the public health system. The goal of this study was to outline sleep characteristics, prevalence of sleep problems, insomnia, and associations of quality of life among psychotherapists. A total of 774 psychotherapists (74.7% women; mean age 46 years) participated in the study. Sleep characteristics, sleep problems, well-being, life satisfaction and workload, as well as specific job demands, were assessed via a questionnaire. Analyses revealed that more than 4.2% of the surveyed psychotherapists have difficulties falling asleep, 12.7% often wake up in the night, and 26.6% feel tired, and 3.4% think that their interrupted sleep affects work performance. About 44.1% of them suffer from symptoms of insomnia. Path models showed that insomnia is significantly related to well-being and life satisfaction.