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Background: Identifying high-risk groups for posttraumatic stress disorder (PTSD) during evacuation situations requires a valid short screening tool. The re-experiencing symptoms of PTSD are considered helpful for distinguishing those with PTSD from those without, as they are thought to be specific to PTSD, have less ambiguity for respondents, and are representative of all PTSD symptoms. Objective: To develop a new short version of the Posttraumatic Diagnostic Scale (PDS) comprising only re-experiencing symptom items. Method: We used existing data (N = 169) from our previous study on the Japanese version of the PDS and the Clinician-Administered PTSD Scale (CAPS). The sample included both clinical outpatients (n = 106) and university students (n = 63), all of whom reported one or more traumatic experiences. We created candidate 2- and 3-item versions of the PDS and compared their psychometric characteristics against the CAPS. Results: The best candidate (comprising items for ‘intrusive images’, ‘nightmares’, and ‘physiological reactions when reminded of the trauma’) demonstrated an area under the curve of .95, 94.8% sensitivity, 86.1% specificity for the best cut-off score of three. The candidate scale also showed a strong correlation with CAPS-evaluated severity score and internal consistency. Conclusions: The brief re-experiencing PDS had good psychometric properties among Japanese adults with and without PTSD.

Background Early morning off (EMO) is a common feature of Parkinson’s disease (PD). This study aimed to characterize its clinical features and develop a convenient and pragmatic self-assessment instrument in a Chinese nationwide population. Methods This study was conducted on 942 PD patients admitted to 55 clinic centers for movement disorders between June 2018 and May 2019 in China. Stepwise logistic regression analyses were performed to determine potential risk factors and the most predictive symptoms of EMO, as well as whether EMO was an independent risk factor of functional dependency in daily life. Based on this, a 7-question scale was derived for EMO screening. Diagnostic accuracy of this scale was assessed from the area under the receiver operative characteristic curve (AUROC) and its 95% confidence intervals (CIs). We further calculated sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for the optimal cutoff point. Results EMO occurred in 49.2% of PD patients across all disease stages. We identified 7 symptoms most predictive of EMO, including bradykinesia or rigidity, excessive sweating or salivation, difficulty in turning on or getting out of bed, muscle cramp, fatigue or sleepiness, frozen state or freezing gait, and tremor. The resulting 7-item scale was confirmed to be of good discrimination with a relatively large AUROC of 0.83, a relatively high sensitivity of 75.7%, specificity of 77.5%, PPV of 76.5%, and NPV of 76.7%. Nonideal nighttime sleep, long PD duration, advanced H&Y stages, posture instability gait difficulty-dominant or mixed subtypes, and high levodopa dose were independently associated with increased risk of EMO. EMO patients were at 87% higher (OR = 1.87, 95%CI: 1.07–3.32) risk of experiencing functional dependency in daily living compared with their counterparts. Conclusions We demonstrated that EMO is a common feature for PD patients across all disease stages and put forward an EMO-specific screening card of sufficient accuracy and brevity. Meanwhile we have thrown some light upon potential determinants and negative health effects of EMO. Our findings may exert great impact on improving the awareness, recognition and management of EMO in PD patients.

Background Increasingly pregnancy-related anxiety is acknowledged as a distinct anxiety type, characterised by specific fears/worries. The Pregnancy-related Anxiety Scale (PrAS) screens for this distinct anxiety and refinements to the scale have prompted further validity examination. This study aims to: replicate findings that distinguished pregnancy-related anxiety from general anxiety/depression using the PrAS; confirm the PrAS's factor structure, and examine the validity of the PrAS subscales: Acceptance of Pregnancy, Avoidance and Worry About Self. Methods Pregnant women (N = 608) were recruited online and completed the PrAS, Pregnancy Acceptance Questionnaire, Ways of Coping Questionnaire, Cambridge Worry Scale, Parenting Sense of Competence Scale, State Trait Anxiety Inventory and the Edinburgh Depression Scale. Results Multiple regression analysis confirmed general anxiety/depression contributed little to the PrAS's variance, supporting the scale's validity and distinctiveness of pregnancy-related anxiety. Structural equation modelling confirmed the PrAS's factor structure, and the three PrAS subscales generally correlated more highly with convergent measures than the discriminant measures. Limitations Limitations included the cross-sectional design of the study and the use of some convergent/discriminant measures that lacked validity evidence for prenatal use. Conclusions This study provides evidence of the distinctiveness of pregnancy-related anxiety from state/trait anxiety and depression and also adds to the psychometric properties of the PrAS. The PrAS is a useful screening scale that can be used for antenatal screening potentially reducing the risk of adverse outcomes associated with pregnancy-related anxiety. The PrAS is also a useful research tool providing a more comprehensive assessment of pregnancy-related anxiety.

The aim of this study was to adapt the Kessler Psychological Distress Scale (K10) for Argentinean population. We conducted a linguistic adaptation of the instrument and an analysis of its psychometric properties. To assess the reliability of the scale, analysis of internal consistency was made through Cronbach�s alpha and temporal stability of the items was examined in two different subsamples. In addition, the scale�s validity was assessed, taking into account convergent validity, criterion validity by contrasting groups and factorial composition of the K10. Receiver Operating Characteristic (ROC) analysis was carried out to assess sensitivity, specificity and the area under the curve (AUC). The results of the present study indicate that the K10 is an adequate instrument presenting strong psychometric properties for screening psychological distress in our environment.