1
|
Klinkhammer S, Duits AA, Deckers K, Horn J, Slooter AJC, Verwijk E, van Heugten CM, Visser-Meily JMA. A Biopsychosocial Approach to Persistent Post-COVID-19 Fatigue and Cognitive Complaints: Results of the Prospective Multicenter NeNeSCo Study. Arch Phys Med Rehabil 2024; 105:826-834. [PMID: 38228250 DOI: 10.1016/j.apmr.2023.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 12/21/2023] [Accepted: 12/28/2023] [Indexed: 01/18/2024]
Abstract
OBJECTIVE To evaluate whether psychological and social factors complement biomedical factors in understanding post-COVID-19 fatigue and cognitive complaints. Additionally, to incorporate objective (neuro-cognitive) and subjective (patient-reported) variables in identifying factors related to post-COVID-19 fatigue and cognitive complaints. DESIGN Prospective, multicenter cohort study. SETTING Six Dutch hospitals. PARTICIPANTS 205 initially hospitalized (March-June 2020), confirmed patients with SARS-CoV-2, aged ≥18 years, physically able to visit the hospital, without prior cognitive deficit, magnetic resonance imaging (MRI) contraindication, or severe neurologic damage post-hospital discharge (N=205). INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES Nine months post-hospital discharge, a 3T MRI scan and cognitive testing were performed and patients completed questionnaires. Medical data were retrieved from medical dossiers. Hierarchical regression analyses were performed on fatigue severity (Fatigue Severity Scale; FSS) and cognitive complaints (Cognitive Consequences after Intensive Care Admission; CLC-IC; dichotomized into CLC-high/low). Variable blocks: (1) Demographic and premorbid factors (sex, age, education, comorbidities), (2) Illness severity (ICU/general ward, PROMIS physical functioning [PROMIS-PF]), (3) Neuro-cognitive factors (self-reported neurological symptoms, MRI abnormalities, cognitive performance), (4) Psychological and social factors (Hospital Anxiety and Depression Scale [HADS], Utrecht Coping List, Social Support List), and (5) Fatigue or cognitive complaints. RESULTS The final models explained 60% (FSS) and 48% (CLC-IC) variance, with most blocks (except neuro-cognitive factors for FSS) significantly contributing. Psychological and social factors accounted for 5% (FSS) and 11% (CLC-IC) unique variance. Higher FSS scores were associated with younger age (P=.01), lower PROMIS-PF (P<.001), higher HADS-Depression (P=.03), and CLC-high (P=.04). Greater odds of CLC-high were observed in individuals perceiving more social support (OR=1.07, P<.05). CONCLUSIONS Results show that psychological and social factors add to biomedical factors in explaining persistent post-COVID-19 fatigue and cognitive complaints. Objective neuro-cognitive factors were not associated with symptoms. Findings highlight the importance of multidomain treatment, including psychosocial care, which may not target biologically-rooted symptoms directly but may reduce associated distress.
Collapse
Affiliation(s)
- Simona Klinkhammer
- School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands; Limburg Brain Injury Center, Maastricht University, Maastricht, the Netherlands
| | - Annelien A Duits
- School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands; Department of Medical Psychology, Maastricht University Medical Center, Maastricht, the Netherlands; Department of Medical Psychology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Kay Deckers
- School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
| | - Janneke Horn
- Department of Intensive Care, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Neuroscience, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Arjen J C Slooter
- UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands; Department of Intensive Care Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Department of Neurology, UZ Brussel and Vrije Universiteit Brussel, Brussels Health Campus, Jette, Belgium
| | - Esmée Verwijk
- Amsterdam Neuroscience, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands; Department of Medical Psychology, Amsterdam University Medical Center, Amsterdam, the Netherlands; Department of Psychology, Brain and Cognition, University of Amsterdam, Amsterdam, the Netherlands
| | - Caroline M van Heugten
- School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands; Limburg Brain Injury Center, Maastricht University, Maastricht, the Netherlands; Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands.
| | - Johanna M A Visser-Meily
- Department of Rehabilitation, Physical Therapy Science & Sports, University Medical Center Utrecht, Utrecht, the Netherlands; Center of Excellence for Rehabilitation Medicine and De Hoogstraat Rehabilitation, University Medical Center Utrecht, Utrecht, the Netherlands
| |
Collapse
|
2
|
Jiang T, Yin X, Zhu L, Jia W, Tan Z, Li B, Guo J. Abnormal alterations of regional spontaneous neuronal activity and functional connectivity in insomnia patients with difficulty falling asleep: a resting-state fMRI study. BMC Neurol 2023; 23:430. [PMID: 38049760 PMCID: PMC10694975 DOI: 10.1186/s12883-023-03481-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 11/28/2023] [Indexed: 12/06/2023] Open
Abstract
BACKGROUND Insomnia disorder (ID) seriously affects people's daily life. Difficulty falling asleep is the most commonly reported complaint in patients with ID. However, the mechanism of prolonged sleep latency (SL) is still obscure. The aim of our present study was to investigate the relationship between prolonged SL and alterations in spontaneous neural activity and brain functional connectivity (FC) in ID patients using functional magnetic resonance imaging (fMRI). METHODS A total of 52 insomniacs with difficulty falling asleep and 30 matched healthy controls (HCs) underwent resting-state fMRI. The amplitude of low-frequency fluctuation (ALFF) was measured and group differences were compared. The peak areas with significantly different ALFF values were identified as the seed regions to calculate FC to the whole brain. SL was assessed by a wrist actigraphy device in ID patients. The Pittsburgh Sleep Quality Index (PSQI), Hamilton Anxiety Rating Scale (HAMA), and Hyperarousal Scale (HAS) were evaluated in both ID patients and HCs. Finally, correlation analyses were performed between the clinical features and FC/ALFF values. RESULTS ID patients showed higher PSQI, HAMA, HAS scores than HCs. The functional MRI results indicated increased ALFF value in the left insula and right amygdala and decreased ALFF value in the right superior parietal lobe (SPL) in ID patients. The seed-based FC analysis demonstrated increased FC between the left insula and the bilateral precentral gyrus and FC between the right amygdala and the left posterior cingulate cortex (PCC) in patients with ID. Correlation analysis indicated that the increased FC value of the right amygdala-left PCC was positively correlated with SL measured by actigraphy. CONCLUSION This study revealed abnormal regional spontaneous fluctuations in the right amygdala, left insula, and right SPL, as well as increased FC in the left insula-precentral and right amygdala-left PCC. Moreover, the prolonged SL was positively correlated with the abnormal FC in the right amygdala-left PCC in ID patients. The current study showed the correlation between prolonged SL and the abnormal function of emotion-related brain regions in ID patients, which may contribute to a better understanding of the neural mechanisms underlying difficulty falling asleep in patients with ID. CLINICAL TRIAL REGISTRATION http://www.chictr.org.cn ., ChiCTR1800015282. Registered on 20th March 2018.
Collapse
Affiliation(s)
- Tongfei Jiang
- Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Key Laboratory of Acupuncture Neuromodulation, Beijing, 100010, China
| | - Xuejiao Yin
- Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Key Laboratory of Acupuncture Neuromodulation, Beijing, 100010, China
| | - Liying Zhu
- Graduate School, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Weilin Jia
- Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Key Laboratory of Acupuncture Neuromodulation, Beijing, 100010, China
| | - Zhongjian Tan
- Department of Radiology, Dong Zhimen Hospital Beijing University of Chinese Medicine, Beijing, 100010, China
| | - Bin Li
- Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Key Laboratory of Acupuncture Neuromodulation, Beijing, 100010, China
| | - Jing Guo
- Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Key Laboratory of Acupuncture Neuromodulation, Beijing, 100010, China.
| |
Collapse
|
3
|
Phillips JG, Chow YW, Ogeil RP. Decisional style, sleepiness, and online responsiveness. ERGONOMICS 2023:1-13. [PMID: 38006288 DOI: 10.1080/00140139.2023.2288808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 11/23/2023] [Indexed: 11/27/2023]
Abstract
As sleep problems can impair quality of work, an online questionnaire was used to examine relationships between sleepiness and decision making while obtaining unobtrusive indices of performance. Participants (N = 344) completed the Insomnia Severity Index, Epworth Sleepiness Scale, and the Melbourne Decision Making Questionnaire in a Qualtrics survey while reporting mobile phone use. Qualtrics recorded the time and the number of clicks required to complete each page of the survey. Multiple regression indicated that insomnia was associated with daytime sleepiness and Hypervigilance, and mobile phone use before bed. Participants with moderate sleepiness required a greater number of clicks to complete the questionnaire. Greater sleepiness was associated with longer times to complete these self-assessment tasks. Clinically significant sleepiness produces changes in performance that can be detected from online responsivity. As sleepy individuals can be appreciably and quantitatively slower in performing subjective self-assessment tasks, this argues for objective measures of sleepiness and automated interventions and the design of systems that allow better quality sleep.Practitioner summary: Work can require processing of electronic messages, but 24/7 accessibility increases workload, causes fatigue and potentially creates security risks. Although most studies use people's self-reports, this study monitors time and clicks required to complete self-assessment rating scales. Sleepiness affected online responsivity, decreasing online accuracy and increasing response times and hypervigilance.
Collapse
Affiliation(s)
- James G Phillips
- Psychology Department, Auckland University of Technology, Auckland, New Zealand
| | - Yang-Wai Chow
- Institute of Cybersecurity and Cryptology, University of Wollongong, Wollongong, Australia
| | - Rowan P Ogeil
- Eastern Health Clinical School, Monash University and Turning Point, Richmond, Australia
| |
Collapse
|