Hajek, A., Teo, A. R., Zwar, L., & König, H. H. (2024). Validation of the German version of the 25-item hikikomori questionnaire 25. International Journal of Methods in Psychiatric Research, 33(2), e2027.
We noticed that there is an error in the title:
Incorrect title: Validation of the German version of the 25-item hikikomori questionnaire 25.
Correct title: Validation of the German version of the 25-item hikikomori questionnaire (HQ-25).
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This research simulates an adaptive version of the IDAS-II (IDAS-CAT).
2021 participants from both community (n = 1692) and patients (n = 329) samples completed the IDAS-II. Item response theory metric properties of the IDAS-II full test and the 20-items of the general depression (GD) scale were obtained. The efficiency and accuracy of different computerized adaptive algorithms were simulated. Different subsamples completed additional external measures in order to gather evidence of validity of the scores estimated with the simulated adaptive algorithms selected.
Both unidimensional computerized adaptive testing algorithm selected for the GD scale and the bifactor model chosen for the full test, allow 70% reduction in the length of administration, maintaining a measurement error below 0.30 on the general and 0.50 on the specific factors. Results show high correlations of the scores estimated with the adaptive algorithms and the estimates based on the full test, as well as correlations with external criteria almost equal to those generated with the full test.
IDAS-CAT could be a reliable and fast tool for measuring internalizing spectrum.
The network approach to psychopathology posits that mental disorders emerge from dynamic interactions among psychopathology-relevant variables. Ecological Momentary Assessment (EMA) is frequently used to assess these variables in daily life. Considering the transdiagnostic nature of the network approach to psychopathology, this study describes the development of a transdiagnostic EMA protocol for psychopathology.
First, 96 clinicians completed an online survey, providing three EMA constructs for up to three disorders they specialize in, and three EMA constructs relevant across disorders (transdiagnostic constructs). Second, 12 focus groups were conducted with clinical experts for specific types of diagnoses (e.g., mood disorders, anxiety disorders). Finally, a selection of items was reached by consensus. Two raters independently coded the online survey responses with an inter-rater agreement of 87.3%.
Jaccard indices showed up to 52.6% overlap in EMA items across types of diagnoses. The most frequently reported transdiagnostic constructs were mood, sleep quality, and stress. A final set of EMA items is created based on items' frequency and informativeness, ensuring completeness across diagnoses and minimizing burden.
The described procedure resulted in a feasible EMA protocol to examine psychopathology transdiagnostically. Feasibility was helped by the overlap in mentioned symptoms across disorders. Such overlap raises questions about the validity of DSM categories.
This study aimed to examine if the General Health Questionnaire (GHQ)-12 and Kessler 6 (K6) assess the same underlying construct and to develop a score conversion table for the two scales.
A random sample of 4303 people who completed both the GHQ-12 and K6 in 2021 were analyzed. Exploratory bifactor analysis evaluated if both scales measured the same construct, and Rasch analysis assessed item severities. The scales were transformed using Equipercentile equivalence for comparability and score conversion. Agreement was estimated with Cohen's Kappa coefficient, along with raw positive and negative agreement.
We found that the two scales measure the same phenomenon to the extent that they can be made equivalent. Conversion tables between GHQ-12 and K6 are presented. Applying the commonly used cut-off of ≥3 on the GHQ-12 bi-modal scoring, we found that the best corresponding cut-off on the K6 would be ≥8. The prevalence of psychological distress was then 22% with GHQ-12% and 21% with K6.
The GHQ-12 and K6 measure the same construct and corresponding cut-off scores on one scale were found for the other scale. This is valuable for longitudinal studies or time series where one scale has replaced the other scale.
The Mental Health Inventory (MHI-5) is frequently used as a screener for mood and anxiety disorders. However, few population-based studies have validated it against a diagnostic instrument assessing disorders following current diagnostic criteria.
Within the third Netherlands Mental Health Survey and Incidence Study (NEMESIS-3), a representative population-based study of adults (N = 6194; age: 18–75 years), the MHI-5 was used to measure general mental ill-health in the past month. Presence of mood (major depressive disorder, persistent depressive disorder, or bipolar disorder) and anxiety disorders (panic disorder, agoraphobia, social phobia, or generalized anxiety disorder) in the past month was assessed with a slightly modified version of the Composite International Diagnostic Interview 3.0 per the Diagnostic and Statistical Manual of Mental disorders-5.
The MHI-5 was good to excellent at distinguishing people with and without a mood disorder, an anxiety disorder, and any mood or anxiety disorder. The cut-off value associated with the highest sensitivity and highest specificity for mood disorder was ≤68, and ≤76 for an anxiety disorder or any mood or anxiety disorder.
The MHI-5 can identify individuals at high risk of a current mood or anxiety disorder in the general population when diagnostic interviews are too time consuming.
The aim of this study was to develop the Motivations for Coping After Disaster Scale. To test the construct validity of the scale, a total of 676 data were collected from three different sampling groups (N1: 388; N2: 194; N3: 94).
Exploratory Factor Analysis, Confirmatory Factor Analysis (CFA) and Criterion validity analysis were conducted to test the construct validity of the scale.
As a result of CFA, it was seen that the post-disaster scale had a five-dimensional structure (spiritual values, hope, friend support, solidarity, family support). The loadings of the items of the scale are at a good level. As a result of CFA, the scale was found to have acceptable and good fit indices (χ2/sd = 2.690; RMSEA (Root Mean Square Error of Approximation) = 0.066; SRMR (Standardized Root Mean Square Residual) = 0.047; CFI (Comparative Fit Index) = 0.948; GFI (Goodness of Fit Index) = 0.917). The results of the criterion validity analysis show that the scale has criterion validity. Cronbach Alpha internal consistency coefficient shows that the scale is highly reliable (Total = 0.923).
The results of this study show that the Post-Disaster Coping Motivations Scale is a valid and reliable instrument. It is thought that the scale can make an important contribution to understanding psychological recovery processes after disaster and providing appropriate support to individuals.
The 25-item Hikikomori Questionnaire (HQ-25) is an instrument developed to measure a condition characterized by extreme social withdrawal that was first described in Japan. This study aimed to translate the HQ-25 into German and validate the German version (HQ-25-G).
Translation was conducted according to established guidelines. Validation was based on data from a quota sample of individuals living in Germany, ranging from 18 to 74 years old (representing the distribution of age, sex and federal state, n = 5000). Data collection occurred during August and September 2023. We tested reliability, construct validity and concurrent validity. Moreover, HQ-25 scores for key sociodemographic group were reported.
Internal reliability for the HQ-25-G was excellent (Cronbach's alpha = 0.93). We confirmed the original three-factor model. Moreover, higher hikikomori levels were significantly associated with more depressive symptoms (r = 0.50), more anxiety symptoms (r = 0.45), higher loneliness levels (r = 0.56), higher levels of objective social isolation (r = −0.47), higher levels of perceived social isolation (r = 0.59) and a higher preference for solitude (r = 0.45).
In a large population-based sample (including younger adults, middle-aged adults and older adults), the HQ-25-G version proves to be a psychometrically robust instrument, which is useful for further exploring the phenomenon of hikikomori within the German-speaking population.
The Videos of Physical Exercise and Sedentary Behaviours (VPESB) database is a novel database designed to experimentally investigate neural reactivity to physical exercise. The aim of this database is to provide a variety of dynamic images with a minimum of confounding factors.
A total of 196 healthy participants were recruited to evaluate 10 clips of sedentary activities and 10 clips of physical exercise. Each activity was performed by a male and female performer, resulting in a total of 40 video clips of 10 s each.
The validation procedure confirmed the ability of these videoclips to accurately represent both sedentary and physical activity. In addition, video clips of physical activity were associated with higher effort ratings than sedentary activities (p < 0.01).
The VPESB is a versatile, rapid and easy-to-use tool that can be used to understand emotional and behavioural approaches to physical activity and to better disentangle some clinical conditions in which physical activity plays a central role.
Healthcare registers are invaluable resources for research. Partly overlapping register entries and preliminary diagnoses may introduce bias. We compare various methods to address this issue and provide fully reproducible open-source R scripts.
We used all Finnish healthcare registers 1969–2020, including inpatient, outpatient and primary care. Four distinct models were formulated based on previous reports to identify actual admissions, discharges, and discharge diagnoses. We calculated the annual number of treatment events and patients, and the median length of hospital stay (LOS). We compared these metrics to non-processed data. Additionally, we analyzed the lifetime number of individuals with registered mental disorders.
Overall, 2,130,468 individuals had a registered medical contact related to mental disorders. After processing, the annual number of inpatient episodes decreased by 5.85%–10.87% and LOS increased by up to 3 days (27.27%) in years 2011–2020. The number of individuals with lifetime diagnoses reduced by more than 1 percent point (pp) in two categories: schizophrenia spectrum (3.69–3.81pp) and organic mental disorders (1.2–1.27pp).
The methods employed in pre-processing register data significantly impact the number of inpatient episodes and LOS. Regarding lifetime incidence of mental disorders, schizophrenia spectrum disorders require a particular focus on data pre-processing.
There are dozens of screening instruments purporting to measure the (Internet) gaming disorder (IGD/GD). The two prominent diagnostic manuals, DSM-5 and ICD-11, list several additional diagnostic or clinical features and problems (e.g., neglect of sleep, neglect of daily duties, health deterioration) that should co-occur or be caused by the IGD/GD. It remains unclear how specific IGD/GD operationalizations (different screening scales) are related to these functional impairments.
To explore this, data on six measures of IGD/GD (IGDS9-SF, GDSS, GDT, GAMES test, two self-assessments) and 18 additional diagnostic features were collected from a sample of 1009 players who play digital games at least 13 h per week. A network approach was utilized to determine which operationalization is most strongly associated with functional impairment.
In most of the networks, IGD/GD consistently emerged as the most central node.
The similar centrality of IGD/GD, irrespective of its definition (DSM-5 or ICD-11) or operationalization, provides support for the valid comparison or synthesis of results from studies that used instruments coming from both DSM-5 and ICD-11 ontologies, but only if the goal is to evaluate IGD/GD relationships to other phenomena, not the relationships between the symptoms themselves.
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