Anja Isabel Morstatt’s research while affiliated with Technische Universität Braunschweig and other places

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Publications (3)


Average stringency index for Germany, Austria, and Switzerland based on the Oxford COVID-19 Government Response Tracker. Note. We plot the average stringency index (0–100) based on the Oxford COVID-19 Government Response Tracker (Hale et al., 2021). The stringency index indicates the severity of political closure and containment measures during the COVID-19 pandemic. After the COVID-19 pandemic was declared as such in March 2020 (WHO, 2021), governments all over the world placed first and stern measures to contain the virus spreading, e.g., nationwide lockdowns paired with school closures (Hale et al., 2021; Rudolph et al., 2021; Weigelt et al., 2021). Towards the summer of 2020, incidence rates of COVID-19 infections decreased (Bundesministerium für Gesundheit, n.d.) and many containment measures were then relaxed. However, in fall 2020, new virus variants increased the risks of infection and mortality again (RKI, 2023; WHO, 2023), so most governments again placed strict containment measures (Hale et al., 2021). Since then, and with the development of effective vaccinations against the virus (Mathieu et al., 2021), most political measures have been relaxed or even removed (Hale et al., 2021). Additionally, we plot our survey waves (Wave 1: June/July 2019, Wave 2: April 2020, Wave 3: December 2020, Wave 4: October/November 2021) within the graph to contextualize each survey timeframe. The starting dates of each survey wave are indicated by black dots at the bottom of each graph and a vertical gray line
Job and off-job crafting and self-rated health trajectories. Note. HO new = new in home office, FOW = Full office workers, HO exp = experienced in home office, P/F = Living with partner/family, NC = No contractual changes, CC = Contractual changes. The sample was split according to reported demographics at Wave 2. Sample sizes: N HO new/FOW/HO exp/HO new = 162 / 407 / 187, N P/F/alone = 540 / 213, N NC/CC = 588 / 187. Mean trajectories across time for job and off-job crafting as well as self-rated health. The values are generated from the latent change score models. Stars between two survey time points represent a significant mean change as indicated by a significant intercept of the respective change score. Self-rated health was modeled as an autoregressive model; no information about significant changes is available
Graphical Summary of LCSM results. Note. W = Wave. We present a graphical summary of the model results focusing on the crafting changes and their relations with health over time. Crafting changes were modeled using latent change score modelling (Geiser, 2020; Wiedemann et al., 2022); however the underlying latent variables for crafting per time point are omitted in this figure to reduce complexity. This summary considers the full sample model as well as the group comparisons to highlight similarities and differences. We omit numerical model estimates and focus on the conceptual level. Non-dotted and non-bolded lines represent significant paths within our models without differences across group comparisons. Dotted lines represent non-significant paths within our models. Bolded lines represent differences in this model estimate in different group comparisons. A detailed outline of these changes is presented in the results sections and in the electronic supplementary materials
Crafting for Health: A Longitudinal Study of Job and Off-Job Crafting Changes during the COVID-19 Pandemic
  • Article
  • Full-text available

February 2025

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63 Reads

Occupational Health Science

Anja Isabel Morstatt

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We examined the association between changes in employee job and off-job crafting and their self-rated health during the COVID-19 pandemic. Further, we investigated how these associations differed across sample subgroups, contrasting differences in work location, living situation, and contractual changes (short-time work). We used four waves of a longitudinal dataset surveying NTotal = 783 German-speaking employees from Germany, Switzerland, and Austria from 2019 to 2021. We applied latent change score modeling and multigroup analyses to investigate our research questions. Results indicated that the mean job and off-job crafting and self-rated health trajectories remained relatively stable. However, we observed significant interindividual variance in job and off-job crafting changes. We found a consistent small positive relationship between crafting changes in both life domains over time, indicating that employees tended to change their crafting efforts similarly across domains. Additionally, job crafting increases between Waves 1 and 2 were linked to higher subsequent self-rated health at Wave 2, and similarly, off-job crafting increases between Waves 3 and 4 were linked to higher self-rated health at Wave 4. We observed only minor differences in this pattern across subgroups. Our results show how adaptive changes in crafting are linked to broader interindividual health differences and help identify groups who are not able to increase crafting during crises and thus could benefit from targeted support. Crafting can be an effective individual strategy for maintaining health, complementing organizational and public health measures. We encourage future research to incorporate temporal and contextual phenomena into crafting research.

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Research model. Note. H3.1 and H3.2 are mediation hypotheses whose sub-paths are shown in the model. For the constructs at t2 and t3, stability was controlled by including an autoregressive path from the previous wave, though not shown in the model. The nationwide Swiss lockdown due to the COVID-19 pandemic began on March 16th, 2020 (Lockdown, 2021)
Descriptive statistics and correlations between measures
Direct and indirect effects of the research model Direct Effects (Standardized)
Managing boundaries for well-being: a study of work-nonwork balance crafting during the COVID-19 pandemic

May 2024

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85 Reads

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1 Citation

Current Psychology

In the wake of the COVID-19 pandemic, the boundaries between the work and nonwork domain have rapidly blurred, presenting employees with new challenges and potentially heightening interference of the work with the nonwork domain (work-home interference, WHI) and vice versa (home-work interference, HWI). To counteract these interferences, employees can apply work-nonwork balance crafting (WNBC), referring to proactive efforts for balancing both life domains by targeting the permeability of the boundary between them. Employees may focus their crafting on the boundary toward the work domain (WNBC-work) or the non-work domain (WNBC-nonwork), e.g., shielding each domain from negative spillover from the other. This study aims to investigate the longitudinal associations of WNBC with health outcomes during the COVID-19 pandemic. We hypothesized that individuals who exhibited more such crafting behaviors at the onset of the pandemic would experience higher mental well-being and work engagement at later points in the COVID-19 pandemic, mediated by lower WHI and HWI. We surveyed N = 2,171 German-speaking employees from Germany, Austria, and Switzerland at three time points during 2020. Structural equation model results indicate that only WNBC-work is longitudinally negatively associated with reduced HWI and positively associated with mental well-being and work engagement. Further, in our sample, only HWI is longitudinally associated with lower mental well-being. No indirect effect reaches significance. Our results underline the importance of WNBC in the work domain in the early phases of the COVID-19 pandemic. Future research should explore the nature of the direct links between WNBC and mental well-being and work engagement and consider alternative mediating processes, such as gain spirals. Lastly, our study underscores that supporting employees in crafting boundaries for well-being can be crucial, particularly during times of crisis.


Job and off‐job crafting profiles: Time‐lagged relationships with job, home and personal resources and well‐being outcomes

April 2024

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282 Reads

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2 Citations

Crafting research has often focused solely on the work domain or examined work and non‐work life domains separately, using a variable‐centered approach. Little is known about the interactions of crafting processes in the work and non‐work domain. In this time‐lagged study, we examined (1) the relationship between job and off‐job crafting behaviours using a person‐centered approach to identify crafting profiles, (2) whether job, home and personal resources differentially predicted these profiles and (3) whether these profiles differed in relation to outcomes, that is work engagement and mental well‐being. We conducted a three‐wave, time‐lagged survey with 3‐month intervals among 2125 employees. The results revealed three profiles of active (18.0%), average (48.2%) and least active (33.9%) crafters. Analyses of predictors showed that active crafters had higher levels of home developmental possibilities and self‐efficacy than average and least active crafters, likewise for average crafters compared with least active crafters. Furthermore, active crafters had higher levels of social support at home than least active crafters. Regarding well‐being outcomes, active crafters experienced significantly higher mental well‐being than average and least active crafters and higher work engagement than least active crafters. Interventions to enhance employee's resources could stimulate crafting behaviours, ultimately improving well‐being.

Citations (2)


... ICU doctors were under tremendous stress in many areas of patient care as a result of the COVID-19 pandemic (Disher et al., 2024). Maintaining a work-life balance by engaging in crafting activities early during a crisis is linked to improved long-term health (Brogle et al., 2024). But the wrath of COVID-19 left no life untouched. ...

Reference:

Unveiling the impact of dataset size on machine learning models for anxiety and depression prediction amid the COVID-19 pandemic: determining optimal data collection thresholds
Managing boundaries for well-being: a study of work-nonwork balance crafting during the COVID-19 pandemic

Current Psychology

... Existing evidence has, for example, already identified different profiles in terms of more active or more passive crafters (Mäkikangas, 2018), or in the use of approach and avoidance strategies (Mäkikangas & Schaufeli, 2021), and demonstrated differences between profiles in work engagement or well-being (Ho et al., 2024). We build on these findings and extend them by applying the integrative job crafting framework (Zhang & Parker, 2019) with the widest range of possible job crafting forms to date. ...

Job and off‐job crafting profiles: Time‐lagged relationships with job, home and personal resources and well‐being outcomes
  • Citing Article
  • April 2024