: To assess whether worry and rumination differ in predicting nighttime sleep disturbance versus daytime sleep-related impairment, as assessed using short forms from the Patient Reported Outcomes Measurement Information System (PROMIS). : Adults recruited from the United States population ( = 459) via an online crowdsourcing service. : Factor analysis explored whether items comprising validated measures of worry and rumination loaded onto separate factors. Hierarchical multiple regression models entered worry and rumination in a stepwise fashion to assess their relative strength in predicting PROMIS sleep disturbance and sleep-related impairment, after controlling for 17 covariates. All analyses were run twice using sleep-specific and general measures of worry and rumination. : Worry and rumination items loaded onto separate factors. In the regression analysis of sleep-specific cognition, only worry entered the model predicting sleep disturbance, whereas rumination entered after worry in the model predicting sleep-related impairment. In the analysis of general cognition, both cognitive process variables significantly predicted the PROMIS outcomes. Worry was the stronger predictor of sleep disturbance, whereas rumination was the stronger predictor of sleep-related impairment. : Worry and rumination were observed to be distinct constructs that separately contributed to predicting daytime sleep-related impairment. Future studies should more closely examine how cognitive processes relate to insomnia symptomology during the day.
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http://dx.doi.org/10.1080/15402002.2020.1725012 | DOI Listing |
J Affect Disord
December 2024
Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, People's Republic of China; Tianjin Key Laboratory of Brain Science and Neural Engineering, Tianjin University, Tianjin, People's Republic of China; Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration, Tianjin, People's Republic of China. Electronic address:
Generalized anxiety disorder (GAD) is a common anxiety disorder characterized by excessive, uncontrollable worry and physical symptoms such as difficulty concentrating and sleep disturbances. Although functional magnetic resonance imaging (fMRI) studies have reported aberrant network-level activity related to cognition and emotion in GAD, its low temporal resolution restricts its ability to capture the rapid neural activity in mental processes. EEG microstate analysis offers millisecond-resolution for tracking the dynamic changes in brain electrical activity, thereby illuminating the neurophysiological mechanisms underlying the cognitive and emotional dysfunctions in GAD.
View Article and Find Full Text PDFPsychol Res Behav Manag
December 2024
Department of Military Medical Psychology, Air Force Medical University, Chinese People's Liberation Army (PLA), Xi'an, People's Republic of China.
Background: Public health emergencies pose threats to mental health, and cognitive emotional regulation can be a crucial coping strategy. This study explored the relationship between cognitive emotion regulation strategies and mental health among university students during the COVID-19 pandemic using network analysis.
Methods: 1100 university students completed questionnaires assessing depression, anxiety, somatization, and cognitive emotion regulation strategies.
PLoS One
December 2024
Department of Psychology & Neuroscience, Duke University, Durham, North Carolina, United States of America.
Mind-wandering is an essential cognitive process in which people engage for 30-50% of their waking day and is highly associated with neuroticism. The current study identified the factor structure of retrospective self-report items related to mind-wandering and perseverative cognition content and explored these associations with neuroticism. In an adult community sample (N = 309), items from the NYC Cognition Questionnaire, the Penn State Worry Questionnaire Short Form, and the Rumination Responses Brooding Subscale were entered into factor analyses to test the optimal factor structure of these items.
View Article and Find Full Text PDFJ Behav Ther Exp Psychiatry
March 2025
Harvard Medical School, Cambridge, USA; Department of Psychiatry, Massachusetts General Hospital, Boston, USA. Electronic address:
Healthcare (Basel)
November 2024
Faculty of Health Sciences, School of Population Health, Curtin University, Perth, WA 6102, Australia.
Background/objectives: The Hogg Eco-Anxiety Scale (HEAS-13) is a thirteen-item measure of eco-anxiety, with four dimensions: (1) affective symptoms, (2) rumination, (3) behavioural symptoms, and (4) anxiety about personal impact. Being a recently developed questionnaire, data on its psychometrics are limited. The aim of this study was to introduce a Polish version of the HEAS-13 and examine its psychometric properties.
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