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Türkarslan KK, Canel Çınarbaş D. Insomnia Severity Predicts Psychiatric Symptoms: A Cross-Sectional Study Investigating the Partial Mediations of Worry and Rumination. Psychiatry 2024; 87:179-193. [PMID: 38758524 DOI: 10.1080/00332747.2024.2347100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/18/2024]
Abstract
OBJECTIVE Insomnia as a disorder on its own or as a symptom of other mental disorders can lead to significant distress and lower quality of life. By exacerbating negative affect and emotion dysregulation, poor sleep and insomnia can contribute to the initiation and maintenance of mental disorders. The aim of this cross-sectional study was to investigate the relationship between insomnia severity and overall psychiatric symptoms (anxiety, depression, obsessive-compulsive symptoms, somatization, phobic anxiety, hostility, interpersonal sensitivity, paranoid ideation, and psychoticism), and the mediational roles of worry and rumination in this relationship. METHOD The data was collected from a community sample of 1444 participants (females 69.39%, Mage = 27.95, SD = 9.37) who completed self-report measures of insomnia severity, worry, rumination, and psychiatric symptoms. The mediational roles of worry and rumination were tested with mediation analysis using the PROCESS Macro. RESULTS It was found that insomnia severity (β = 0.20, p < .001) significantly predicted psychiatric symptoms directly and via worry and rumination (β = 0.33, p < .001), meaning that worry and rumination partially mediated the relationship between insomnia severity and psychiatric symptoms. The findings were similar after controlling for smoking status, daily screen time, coffee consumption in the evening, weekly exercise frequency, and pre-sleep screen time. CONCLUSIONS Interventions targeting the reduction of insomnia severity and maladaptive emotion regulation strategies (e.g., worry and rumination), as well as the enhancement of adaptive emotion regulation strategies (e.g., positive refocusing and mindfulness), may alleviate the adverse effects of insomnia on psychiatric symptoms.
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Parisi F, Høifødt RS, Bohne A, Wang CEA, Pfuhl G. Perceived Parenting Stress Is Related to Cardiac Flexibility in Mothers: Data from the NorBaby Study. Behav Sci (Basel) 2024; 14:117. [PMID: 38392470 PMCID: PMC10886085 DOI: 10.3390/bs14020117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 01/20/2024] [Accepted: 02/02/2024] [Indexed: 02/24/2024] Open
Abstract
Heart rate variability (HRV) is an indicator of autonomic nervous system activity, and high levels of stress and/or depressive symptoms may reduce HRV. Here, we assessed whether (a) parental stress affected HRV in mothers during the perinatal period and whether this is mediated by bonding and (b) whether antenatal maternal mental states, specifically repetitive negative thinking, depressive symptoms, and pregnancy-related anxiety, have an impact on infant HRV, and lastly, we investigated (c) the relationship between maternal HRV and infant HRV. Data are from the Northern Babies Longitudinal Study (NorBaby). In 111 parent-infant pairs, cardiac data were collected 6 months after birth. In the antenatal period, we used the Pregnancy-Related Anxiety Questionnaire-Revised, the Edinburgh Postnatal Depression Scale, and the Perseverative Thinking Questionnaire; in the postnatal period, we used the Parenting Stress Index and the Maternal Postnatal Attachment Scale. Higher levels of perceived parenting stress but not depressive symptoms were associated with lower HRV in mothers (τ = -0.146), and this relationship was not mediated by maternal bonding. Antenatal maternal mental states were not associated with infant HRV. There was no significant correlation between maternal HRV and infant HRV. Our observational data suggest that perceived stress reduces cardiac flexibility. Future studies should measure HRV and parenting stress repeatedly during the perinatal period.
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Affiliation(s)
- Francesca Parisi
- Department of Psychology, Norwegian University of Science and Technology, 7491 Trondheim, Norway
| | | | - Agnes Bohne
- Department of Psychology, UiT the Arctic University of Norway, 9019 Tromsø, Norway
- Division of Child and Adolescent Health, University Hospital of Northern Norway, 9019 Tromsø, Norway
| | | | - Gerit Pfuhl
- Department of Psychology, Norwegian University of Science and Technology, 7491 Trondheim, Norway
- Department of Psychology, UiT the Arctic University of Norway, 9019 Tromsø, Norway
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Tsuchiyagaito A, Misaki M, Cochran G, Philip NS, Paulus MP, Guinjoan SM. Thalamo-cortical circuits associated with trait- and state-repetitive negative thinking in major depressive disorder. J Psychiatr Res 2023; 168:184-192. [PMID: 37913745 PMCID: PMC10872862 DOI: 10.1016/j.jpsychires.2023.10.058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 08/10/2023] [Accepted: 10/25/2023] [Indexed: 11/03/2023]
Abstract
BACKGROUND Repetitive negative thinking (RNT), often referred to as rumination in the mood disorders literature, is a symptom dimension associated with poor prognosis and suicide in major depressive disorder (MDD). Given the transdiagnostic nature of RNT, this study aimed to evaluate the hypothesis that neurobiological substrates of RNT in MDD may share the brain mechanisms underlying obsessions, particularly those involving cortico-striatal-thalamic-cortical (CSTC) circuits. METHODS Thirty-nine individuals with MDD underwent RNT induction during fMRI. Trait-RNT was measured by the Ruminative Response Scale (RRS) and state-RNT was measured by a visual analogue scale. We employed a connectome-wide association analysis examining the association between RNT intensity with striatal and thalamic connectivity. RESULTS A greater RRS score was associated with hyperconnectivity of the right mediodorsal thalamus with prefrontal cortex, including lateral orbitofrontal cortex, along with Wernicke's area and posterior default mode network nodes (t = 4.66-6.70). A greater state-RNT score was associated with hyperconnectivity of the right laterodorsal thalamus with bilateral primary sensory and motor cortices, supplementary motor area, and Broca's area (t = 4.51-6.57). Unexpectedly, there were no significant findings related to the striatum. CONCLUSIONS The present results suggest RNT in MDD is subserved by abnormal connectivity between right thalamic nuclei and cortical regions involved in both visceral and higher order cognitive processing. Emerging deep-brain neuromodulation methods may be useful to establish causal relationships between dysfunction of right thalamic-cortical circuits and RNT in MDD.
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Affiliation(s)
- Aki Tsuchiyagaito
- Laureate Institute for Brain Research, Tulsa, OK, USA; Oxley College of Health Sciences, The University of Tulsa, Tulsa, OK, USA; Research Center for Child Mental Development, Chiba University, Chiba, Japan.
| | - Masaya Misaki
- Laureate Institute for Brain Research, Tulsa, OK, USA; Oxley College of Health Sciences, The University of Tulsa, Tulsa, OK, USA
| | - Gabe Cochran
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - Noah S Philip
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA; Center for Neurorestoration and Neurotechnology, VA Providence Healthcare System, Providence, RI, USA
| | | | - Salvador M Guinjoan
- Laureate Institute for Brain Research, Tulsa, OK, USA; Department of Psychiatry, Oklahoma University Health Sciences Center at Tulsa, Tulsa, OK, USA; Laureate Psychiatric Hospital and Clinic, Tulsa, OK, USA
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Zhao M, He Y, Tang Q, Wang N, Zheng H, Feng Z. Risk factors and prediction model for mental health in Chinese soldiers. Front Psychiatry 2023; 14:1125411. [PMID: 37215678 PMCID: PMC10196266 DOI: 10.3389/fpsyt.2023.1125411] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 03/27/2023] [Indexed: 05/24/2023] Open
Abstract
Introduction This study aimed to explore potential risk factors for mental health concerns, and the prediction model for mental health concerns in Chinese soldiers was constructed through combined eligible risk factors. Methods This cross-sectional study was performed on soldiers under direct command from Gansu, Sichuan, and Chongqing in China, and the soldiers were selected by cluster convenient sampling from 16 October 2018 to 10 December 2018. The Symptom Checklist-90 (SCL-90) and three questionnaires (Military Mental Health Status Questionnaire, Military Mental Health Ability Questionnaire, and Mental Quality Questionnaire for Army Men) were administered, including demographics, military careers, and 18 factors. Results Of 1,430 Chinese soldiers, 162 soldiers presented mental disorders, with a prevalence of 11.33%. A total of five risk factors were identified, including serving place (Sichuan vs. Gansu: OR, 1.846, 95% CI: 1.028-3.315, P = 0.038; Chongqing vs. Gansu: OR, 3.129, 95% CI, 1.669-5.869, P = 0.003), psychosis (OR, 1.491, 95% CI, 1.152-1.928, P = 0.002), depression (OR, 1.482, 95% CI, 1.349-1.629, P < 0.001), sleep problems (OR, 1.235, 95% CI, 1.162-1.311, P < 0.001), and frustration (OR, 1.050, 95% CI, 1.015-1.087, P = 0.005). The area under the ROC curve by combining these factors was 0.930 (95% CI: 0.907-0.952) for predicting mental disorders in Chinese soldiers. Conclusion The findings of this study demonstrate that mental disorders and onset in Chinese soldiers can be predicted on the basis of these three questionnaires, and the predictive value of the combined model was high.
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Affiliation(s)
- Mengxue Zhao
- Department of Military Psychology, Faculty of Medical Psychology, Army Medical University (Third Military Medical University), Chongqing, China
| | - Ying He
- Department of Psychiatry, Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Quan Tang
- Medical Psychology Department, No. 984 Hospital of PLA, Beijing, China
| | - Ni Wang
- General Hospital of Xinjiang Military Region, Wulumuqi, China
| | - Haoxin Zheng
- The 33rd Company of the 11th Battalion, College of Command and Control Engineering, Army Engineering University of PLA, Nanjing, China
| | - Zhengzhi Feng
- Faculty of Medical Psychology, Army Medical University (Third Military Medical University), Chongqing, China
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Habibi Asgarabad M, Doos Ali Vand H, Salehi Yegaei P, Hooman F, Ahmadi R, Baglioni C, Moradi S. The contribution of transdiagnostic vulnerability factors in patients with chronic insomnia. Front Psychiatry 2023; 14:1162729. [PMID: 37077275 PMCID: PMC10106755 DOI: 10.3389/fpsyt.2023.1162729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 03/14/2023] [Indexed: 04/21/2023] Open
Abstract
Introduction Various transdiagnostic factors have been associated with insomnia severity. The current study aimed to predict insomnia severity based on a group of transdiagnostic factors including neuroticism, emotion regulation, perfectionism, psychological inflexibility, anxiety sensitivity, and repetitive negative thinking after controlling for depression/anxiety symptoms and demographic characteristics. Methods Two hundred patients with chronic insomnia disorder were recruited from a sleep disorder clinic. Participants completed the Insomnia Severity Index (ISI), Clinical Perfectionism Questionnaire (CPQ), Acceptance and Action Questionnaire-II (AAQ-II), Anxiety Sensitivity Index-3 (ASI-3), Repetitive Thinking Questionnaire (RTQ-10), Big Five Inventory (BFI-10), Emotion Regulation Questionnaire (ERQ), and Depression Anxiety Stress Scale (DASS-21). Results After controlling for the confounding variables (depression/anxiety symptoms and demographic characteristics), hierarchical multiple linear regression suggested the significant association of neuroticism (BFI), cognitive reappraisal (ERQ), personal standards (CPQ), evaluative concerns (CPQ), physical concerns (ASI), cognitive concerns (ASI), and repetitive negative thinking (RTQ) with insomnia severity. Discussion The findings support the role of transdiagnostic factors, especially physical concerns, repetitive negative thinking, and neuroticism in chronic insomnia. Future research using longitudinal designs is required to verify the causal status of transdiagnostic variables.
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Affiliation(s)
- Mojtaba Habibi Asgarabad
- Health Promotion Research Center, Iran University of Medical Science, Tehran, Iran
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Health Psychology, School of Behavioral Sciences and Mental Health (Tehran Institute of Psychiatry), Iran University of Medical Sciences, Tehran, Iran
- Positive Youth Development Lab, Human Development & Family Sciences, Texas Tech University, Texas, TX, United States
- Center of Excellence in Cognitive Neuropsychology, Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran
| | - Hoda Doos Ali Vand
- Department of Clinical Psychology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Pardis Salehi Yegaei
- Health Promotion Research Center, Iran University of Medical Science, Tehran, Iran
| | - Farzaneh Hooman
- Department of Psychology, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
| | - Reza Ahmadi
- Health Promotion Research Center, Iran University of Medical Science, Tehran, Iran
- Department of Clinical Psychology, Faculty of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Chiara Baglioni
- Human Sciences Department, University of Rome Guglielmo Marconi Rome, Rome, Italy
- Department of Psychiatry and Psychotherapy, Medical Faculty, University of Freiburg, Freiburg, Germany
| | - Shahram Moradi
- Department of Health, Social and Welfare Studies, Faculty of Health and Social Sciences, University of South-Eastern Norway, Porsgrunn, Norway
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