Objectives: Measurements are often developed for the assessment of personality disorders (PDs) in younger adults and seldom evaluated on the applicability in older adults. Remarkably, research has not yet been conducted into age-group appropriateness of the gold standard for the assessment of PDs, known as Structured Clinical Interview for DSM-IV Personality Disorders (SCID-II). Therefore, the current study empirically investigated the age-neutrality of the PDs assessed by the SCID-II.
Methods: Age-neutrality was examined in 84 younger adults (aged 20-45 years) and 68 older adults (aged 65-85) by Differential Item Functioning (DIF). The impact of DIF on scale level was further examined using Differential Test Functioning analyzes to examine the impact of the amount of DIF variance in the items on scale level.
Results: Overall, the great majority, 95.8% of the categorically measured items and 87.5% of the dimensionally measured items, was endorsed in the same way by younger adults and older adults with equal scores on the PD scale. Subsequent analyzes revealed no large DTF for PD scales.
Conclusions: Overall the SCID-II in an outpatient population is age-neutral for both categorically and dimensionally scored PD scales.
Clinical Implications: The SCID-II can be used for the assessment of PDs in older adults.
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http://dx.doi.org/10.1080/07317115.2022.2102457 | DOI Listing |
Addiction
January 2025
Department of Addictions, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Background And Aims: Many vaping products feature bright colors and novel brand names and flavor descriptors, which may appeal to youth. We measured the strength of the associations between e-liquid packaging design (branded, white standardized or white standardized limiting brand and flavor descriptors) and perceived peer interest in trying the e-liquids among youth.
Design: A between-subjects online experiment.
J Child Lang
January 2025
Center for Data Science in Humanities, Institute of Humanities, Chosun University, Gwangju, Korea.
We investigated the dynamics of communicative initiation in infant-caregiver interactions across ages and language abilities. Analyses of 228 Language ENvironment Analysis (LENA) recordings from 141 Korean adult-child dyads (60 girls; aged 7-30 months) replicated the initiator effect reported in North American populations. This effect, demonstrated by longer utterances, more frequent speech, and shorter response times in self-initiated interactions for both children and adults, suggests potential cross-cultural consistency in this conversational dynamic and remained consistent across ages in most conversational measures.
View Article and Find Full Text PDFAm J Cancer Res
December 2024
Department of Hematology, Cancer Hospital Affiliated to Shanxi Medical University/Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences Taiyuan 030013, Shanxi, China.
Objective: To analyze the clinical characteristics and molecular biomarkers of adult T-cell lymphoblastic lymphoma (T-LBL) to identify prognostic factors, and to evaluate the efficacy of different chemotherapy regimens, providing a basis for optimizing treatment strategies for T-LBL.
Methods: A total of 89 Patients aged 18-72 years with T-LBL, confirmed via histopathological examination of lymph nodes, extranodal tissues, or bone marrow, were retrospectively included. Clinical data, treatment details, and mutational profiles were collected.
Am J Cancer Res
December 2024
Department of Otorhinolaryngology, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital Yilan 265, Taiwan.
Betel nut chewing, common in several Asian populations, is linked to increased cancer risk, including oral, esophageal, gastric, and hepatocellular carcinoma. Aspirin shows potential as a chemopreventive agent. This study investigates the association between aspirin use and cancer risk among betel nut chewers.
View Article and Find Full Text PDFHeart Rhythm O2
December 2024
Pfizer Inc, New York, New York.
Background: Prediction models for atrial fibrillation (AF) may enable earlier detection and guideline-directed treatment decisions. However, model bias may lead to inaccurate predictions and unintended consequences.
Objective: The purpose of this study was to validate, assess bias, and improve generalizability of "UNAFIED-10," a 2-year, 10-variable predictive model of undiagnosed AF in a national data set (originally developed using the Indiana Network for Patient Care regional data).
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