Any person is provided by characteristics that can be neither located in body parts nor directly observed (so-called latent variables): these may be behaviors, attitudes, perceptions, motor and cognitive skills, knowledge, emotions, and the like. Physical and rehabilitation medicine frequently faces variables of this kind, the target of many interventions. Latent variables can only be observed through representative behaviors (e.g., walking for independence, moaning for pain, social isolation for depression, etc.). To measure them, behaviors are often listed and summated as items in cumulative questionnaires ("scales"). Questionnaires ultimately provide observations ("raw scores") with the aspect of numbers. Unfortunately, they are only a rough and often misleading approximation to true measures for various reasons. Measures should satisfy the same measurement axioms of physical sciences. In the article, the flaws hidden in questionnaires' scores are summarized, and their consequences in outcome assessment are highlighted. The report should inspire a critical attitude in the readers and foster the interest in modern item response theory, with reference to Rasch analysis.
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http://dx.doi.org/10.1097/PHM.0000000000002028 | DOI Listing |
J Head Trauma Rehabil
January 2025
Author Affiliations: Department of Physical Medicine and Rehabilitation (Drs Wyrwa, Burke, Forster, and Kinney), Departments of Physical Medicine and Rehabilitation, Psychiatry, and Neurology (Dr Brenner), University of Colorado, Anschutz Medical Campus, Aurora, Colorado; and VA Rocky Mountain Mental Illness Research, Education, and Clinical Center (MIRECC) (Dr Brenner, Mr Yan, Ms Schneider, Mr King, and Drs Forster and Kinney), Aurora, Colorado.
Objective: To examine whether neurobehavioral symptoms mediate the relationship between comorbid mental health conditions (major depressive disorder [MDD] and/or posttraumatic stress disorder [PTSD]) and participation restriction among Veterans with mild traumatic brain injury (mTBI).
Setting: Veterans Health Administration (VHA).
Participants: National sample of Veterans with mTBI who received VHA outpatient care between 2012 and 2020.
JAMA Netw Open
January 2025
Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.
Importance: Multisystem inflammatory syndrome in children (MIS-C) is an uncommon but severe hyperinflammatory illness that occurs 2 to 6 weeks after SARS-CoV-2 infection. Presentation overlaps with other conditions, and risk factors for severity differ by patient. Characterizing patterns of MIS-C presentation can guide efforts to reduce misclassification, categorize phenotypes, and identify patients at risk for severe outcomes.
View Article and Find Full Text PDFObesity (Silver Spring)
February 2025
Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Objective: The objective was to evaluate the longitudinal patterns of central and general obesity, identify their genetic and behavioral risk determinants, and investigate the association of distinct obesity trajectories beyond middle age with subsequent cognitive decline and the risk of developing dementia in late life.
Methods: Using a nationally representative, longitudinal, community-based cohort, we examined trajectory patterns of obesity over a 14-year span beyond middle age employing latent mixture modeling. We then evaluated their relationship with subsequent cognitive decline through linear mixed models and with the risk of developing dementia using Cox models, adjusting for confounding variables.
Int J Nurs Knowl
January 2025
Graduate Program in Nursing, Federal University of Ceará, Fortaleza, Brazil.
Objective: To evaluate the accuracy of the defining characteristics of the nursing diagnosis Impaired skin integrity (00046) in patients admitted to intensive care units (ICUs).
Methods: A cross-sectional diagnostic accuracy study was conducted with 105 adult patients admitted to an ICU. A latent class model with random effects was used to test the sensitivity and specificity of the defining characteristics investigated.
BMC Health Serv Res
January 2025
IQVIA Solutions Japan, G.K., Tokyo, Japan.
This study was conducted using a nationwide health care database of Japan between 1 April 2008 and 30 September 2022 to evaluate the economic burden on patients with mantle cell lymphoma (MCL). Structural equation modeling (SEM) is an advanced multivariate analysis framework used to assess the relationships between observed and latent variables within predefined causal models. In this study, SEM was employed to identify cost drivers and estimate variables related to MCL treatment cost.
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