Browsing by Subject "Psychological adaptation"

Now showing 1 - 3 of 3
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    Development and preliminary validation of the Brief Self-Compassion Inventory
    (Public Library of Science, 2023-05-12) Chinh, Kelly; Wu, Wei; Johns, Shelley A.; Stutz, Patrick V.; McGrew, John H.; Mosher, Catherine E.; Psychology, School of Science
    Research and clinical interest in self-compassion has grown due to its associations with physical and mental health benefits. Widely used measures of self-compassion have conceptual and psychometric limitations that warrant attention. The purpose of this project was to develop a new self-compassion measure, the Brief Self-Compassion Inventory (BSCI), and test its psychometric properties. We developed items for the BSCI based on theory, prior research, and expert and cancer patient feedback. The BSCI was then tested with adults diagnosed with breast, gastrointestinal, lung, or prostate cancer (N = 404). Confirmatory factor analysis suggested a unidimensional structure, and internal consistency reliability was excellent. Construct validity of the BSCI was established through its correlations with psychological variables hypothesized to be related to self-compassion, such as mindfulness, acceptance of cancer, and other coping strategies. Furthermore, measurement invariance testing of the BSCI indicated that it could be used across patients of varying genders, cancer types, and stages of illness. In conclusion, the 5-item BSCI was determined to be psychometrically sound and suitable for use with adults of varying genders, cancer types, and stages of disease. The measure warrants testing with other medical and nonclinical populations.
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    Diagnostic Accuracy of Primary Care Clinicians Across a Statewide System of Autism Evaluation
    (American Academy of Pediatrics, 2023) McNally Keehn, Rebecca; Swigonski, Nancy; Enneking, Brett; Ryan, Tybytha; Monahan, Patrick; Martin, Ann Marie; Hamrick, Lisa; Kadlaskar, Girija; Paxton, Angela; Ciccarelli, Mary; Keehn, Brandon; Pediatrics, School of Medicine
    Objectives: To evaluate the diagnostic accuracy of the Early Autism Evaluation (EAE) Hub system, a statewide network that provides specialized training and collaborative support to community primary care providers in the diagnosis of young children at risk for autism spectrum disorder (ASD). Methods: EAE Hub clinicians referred children, aged 14 to 48 months, to this prospective diagnostic study for blinded follow-up expert evaluation including assessment of developmental level, adaptive behavior, and ASD symptom severity. The primary outcome was agreement on categorical ASD diagnosis between EAE Hub clinician (index diagnosis) and ASD expert (reference standard). Results: Among 126 children (mean age: 2.6 years; 77% male; 14% Latinx; 66% non-Latinx white), 82% (n = 103) had consistent ASD outcomes between the index and reference evaluation. Sensitivity was 81.5%, specificity was 82.4%, positive predictive value was 92.6%, and negative predictive value was 62.2%. There was no difference in accuracy by EAE Hub clinician or site. Across measures of development, there were significant differences between true positive and false negative (FN) cases (all Ps < .001; Cohen's d = 1.1-1.4), with true positive cases evidencing greater impairment. Conclusions: Community-based primary care clinicians who receive specialty training can make accurate ASD diagnoses in most cases. Diagnostic disagreements were predominately FN cases in which EAE Hub clinicians had difficulty differentiating ASD and global developmental delay. FN cases were associated with a differential diagnostic and phenotypic profile. This research has significant implications for the development of future population health solutions that address ASD diagnostic delays.
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    Mixed methods prospective findings of the initial effects of the U.S. COVID-19 pandemic on individuals in recovery from substance use disorder
    (Public Library of Science, 2022-07-01) Shircliff, Katherine; Liu, Melissa; Prestigiacomo, Christiana; Fry, Melissa; Ladd, Kevin; Kannapel Gilbert, Misty; Rattermann, Mary Jo; Cyders, Melissa A.; Psychology, School of Science
    The beginning of the U.S. COVID-19 pandemic interrupted integral services and supports for those in recovery from substance use disorders. The current study used qualitative and quantitative data to identify 1) pandemic-related barriers/stressors, 2) coping strategies employed, and 3) how the stressors and strategies predicted subsequent substance use frequency. Participants were 48 adults (40.5% female; 90.2% White) between 26 and 60 years old (M = 42.66, SD = 8.44) who were part of a larger, multi-year longitudinal study of individuals in recovery from substance use disorders. Individuals completed two interviews, one during the six weeks of initial stay-at-home orders in the state in which data were collected and the second within six to twelve months of their initial interview. Common barriers to recovery included cancelled support meetings, changes in job format (i.e., being fired or furloughed), and lack of social support. Common coping strategies included self-care, leisure activities/hobbies, taking caution against exposure, and strengthening personal relationships. The relationship between cravings at baseline and substance use at follow up was stronger for those who experienced worsening of their mental health (B = 21.80, p < .01) than for those who did not (B = 5.45, p = 0.09), and for those who were taking caution against exposure (B = 24.57, p < .01) than for those who were not (B = 1.87, p = 0.53). Those who engaged in self-care (B = 0.00, p>.99) had lower rates of substance use at follow-up than those who did not employ self-care as a coping mechanism (B = 16.10, p < .01). These findings inform research priorities regarding prospective effects of the pandemic on treatment endeavors, particularly emphasizing treating mental health and encouraging self-care strategies.