Factor structure and psychometric properties of the german version chronic uncertainty scale (CU-20).

BACKGROUND: The experience of uncertainty is ubiquitous and universal across the globe. Many available tools measuring uncertainty are focused on one aspect of uncertainty, e.g., patients with life-threatening illnesses, hence a measure considering (chronic) uncertainty as an integral experience reflect ongoing uncertainties from a socio-cultural perspective is missing. Additionally, current tools do not account for an extended timeframe to measure chronic forms of uncertainty. The objective of this study is to validate a translated German version of the 20 item Chronic Uncertainty Scale (CU-20). METHODS: The full sample comprised N = 462 participants. Most of the participants were young German citizens and the sex distribution was relatively balanced (60% females; age in average: M = 24.56; SD = 4.78). Using equally split samples, an exploratory factor analysis (EFA) evaluated the CU-20 factor structure, followed by a confirmatory factor analysis (CFA) to test the established factor structure. Measurement invariance between male and female groups was evaluated. Internal consistency of the six-factor model was shown and scale discrimination was shown against chronic stress. RESULTS: The EFA results showed decent model fit for the five-factor structure, however based on the CFA results, the theoretically established six-factor model fits the data significantly better. Measurement invariance between male and female groups was shown to be clearly scalar invariant. Cronbach's alpha, omega and lambda all support internal consistency and reliability of CU-20. CONCLUSIONS: The CU-20 is a valid and reliable measure of one's state of chronic uncertainty reflecting the individuals' experiences of macrosocial forms of uncertainty, compared to the existing ones. This scale is especially useful in the context of migration, refugees or during global crises. Further psychometric testing is required in more diverse samples and a deeper look into measurement invariance is recommended.

Psychometric properties and validation of the English version Giessen Subjective Complaints List (GBB-8).

BACKGROUND: The present study investigated the psychometric properties of the newly developed English version of the Giessen Subjective Complaint List-8 (GBB-8), a questionnaire assessing psychosomatic symptoms with regard to exhaustion, gastrointestinal, musculoskeletal and cardiovascular. METHODS: A U.S. sample of 638 participants (47.6% female) was recruited by MTurk to participate in this cross-sectional online survey. Validation instruments included the Patient Health Questionnaire-4, Perceived Stress Scale, short version of the Trier Inventory for Chronic Stress. RESULTS: Reliability was high with ω's between .80 and .86 for all subscales. Confirmatory factor analyses yielded comparable good model fit for a four-dimensional model as well as a higher order model. Multi-group confirmatory factor analyses confirmed measurement invariance of the GBB-8 across sex and age. Regarding convergent validity, correlations with other instruments were highly significant and of large magnitude as expected. CONCLUSION: The English version of the GBB-8 has shown excellent psychometric properties. Therefore, it can be recommended for the assessment of psychosomatic complaints in contexts where short screening instruments are necessary.

Perceived Stress Scale (PSS-10) psychometric properties in migrants and native Germans.

BACKGROUND: With the increasing diversity of the German population, it is important to test the psychometric validity and reliability of the German version Perceived Stress Scale (PSS-10) specifically between German natives and residents with a migration background. METHODS: Using nationally representative data (N = 2527), this study conducted an Exploratory Factor Analysis (EFA) to determine the most appropriate factor structure, a Multi-Group Confirmatory Factor Analysis (MGCFA) to compare the validity of the two-factor structure and tested the PSS-10 measurement invariance between the German native and migrant sub-samples. Lastly, reliability of the PSS-10 was examined via Cronbach's alpha, omega and individual item analyses across the two sub-samples. RESULTS: The EFA results support a two-factor structure in the migrant sample. The MGCFA showed adequate model fit for both sub-samples and the PSS-10 is strict invariant between German natives and migrants. Cronbach's alpha and omega for Perceived Helplessness (PHS: factor 1) and Perceived Self-Efficacy (PSES: factor 2) demonstrate good internal consistency in both German and migrant sub-samples. CONCLUSIONS: The key conclusions are: (1) the German version PSS-10 is suitable for German residents with a migration background. (2) Despite good internal consistency for the total scale, the PSS-10 measures two aspects: (a) perceived helplessness and (b) perceived self-efficacy. Future research would profit from analyzing the two subscales separately, not only using the total score.

Air Quality and Chronic Stress: A Representative Study of Air Pollution (PM2.5, PM10) in Germany.

OBJECTIVE: With rising attention on climate change and the aftermath of burning fossil fuels, there is much concern regarding the effects of air pollution on physical and psychological health. However, the relationship between chronic stress and air pollution is relatively unexplored in humans. METHODS: By combining German representative data with national pollution data and using step-wise regression analyses, this study investigates how air pollution (particulate matter 2.5 and 10 [PM2.5 and PM10]) impacts ones' chronic stress levels (TICS). RESULTS: Results show PM2.5 fine-dust particles significantly affect chronic stress, while PM10 has no such effect. Air pollution (PM2.5), age, and income together explain 3% of variation in chronic stress in a nationally representative sample. CONCLUSIONS: Further studies must test pollutants such as NO2 and O3 as well as investigate the potential accumulated effect of pollution and stress combined on human health.