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Burton-Fisher W, Gordon K. Holding the hope? Therapist and client perspectives on long COVID recovery: A Q-methodology. Br J Health Psychol 2024. [PMID: 38735864 DOI: 10.1111/bjhp.12724] [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: 08/14/2023] [Accepted: 04/12/2024] [Indexed: 05/14/2024]
Abstract
PURPOSE Long COVID is a global health concern which has debilitating effects on the individual experiencing it. In the United Kingdom, psychological therapies are being offered to people with long COVID, although the evidence for these therapies is yet to be demonstrated. This research aimed to understand how therapists and clients define and understand recovery from long COVID, and use hope theory to interpret the results. METHODS An online Q-methodology was employed, where participants sorted a range of statements pertaining to long COVID recovery based on their level of agreement with them. These arranged statements (Q-sorts) were collated and factor analysed to explore and compare underlying perspectives. RESULTS Sixteen participants were recruited for the study, including eleven clients, four IAPT therapists and one therapist working in the broader long COVID pathway. A four-factor model is reported, including (1) Psychological Pathways to Recovery, (2) Social Context and Agency, (3) Physiological Goals of Recovery and (4) Personal Meaning Making. All IAPT therapists loaded onto the psychological pathways factor, whereas the remaining participants shared more diverse perspectives. CONCLUSIONS The belief that long COVID recovery was possible, taken as an indicator of hopefulness, was rated highest for Factor 1, Psychological Pathways to Recovery, and Factor 3, Physiological Recovery Goals. This suggested that having a clear definition of recovery, or clear guidance on how to intervene, promoted hopefulness and, theoretically, well-being. However, clients reported experiences of being invalidated and disbelieved by health professionals, with psychological explanations sometimes being experienced as dismissive and invalidating. Clinical implications and future research directions are discussed.
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Affiliation(s)
| | - Kim Gordon
- Professional Doctorate in Clinical Psychology, Staffordshire University, Staffordshire, United Kingdom
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Naidu AS, Wang CK, Rao P, Mancini F, Clemens RA, Wirakartakusumah A, Chiu HF, Yen CH, Porretta S, Mathai I, Naidu SAG. Precision nutrition to reset virus-induced human metabolic reprogramming and dysregulation (HMRD) in long-COVID. NPJ Sci Food 2024; 8:19. [PMID: 38555403 PMCID: PMC10981760 DOI: 10.1038/s41538-024-00261-2] [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: 10/12/2023] [Accepted: 03/15/2024] [Indexed: 04/02/2024] Open
Abstract
SARS-CoV-2, the etiological agent of COVID-19, is devoid of any metabolic capacity; therefore, it is critical for the viral pathogen to hijack host cellular metabolic machinery for its replication and propagation. This single-stranded RNA virus with a 29.9 kb genome encodes 14 open reading frames (ORFs) and initiates a plethora of virus-host protein-protein interactions in the human body. These extensive viral protein interactions with host-specific cellular targets could trigger severe human metabolic reprogramming/dysregulation (HMRD), a rewiring of sugar-, amino acid-, lipid-, and nucleotide-metabolism(s), as well as altered or impaired bioenergetics, immune dysfunction, and redox imbalance in the body. In the infectious process, the viral pathogen hijacks two major human receptors, angiotensin-converting enzyme (ACE)-2 and/or neuropilin (NRP)-1, for initial adhesion to cell surface; then utilizes two major host proteases, TMPRSS2 and/or furin, to gain cellular entry; and finally employs an endosomal enzyme, cathepsin L (CTSL) for fusogenic release of its viral genome. The virus-induced HMRD results in 5 possible infectious outcomes: asymptomatic, mild, moderate, severe to fatal episodes; while the symptomatic acute COVID-19 condition could manifest into 3 clinical phases: (i) hypoxia and hypoxemia (Warburg effect), (ii) hyperferritinemia ('cytokine storm'), and (iii) thrombocytosis (coagulopathy). The mean incubation period for COVID-19 onset was estimated to be 5.1 days, and most cases develop symptoms after 14 days. The mean viral clearance times were 24, 30, and 39 days for acute, severe, and ICU-admitted COVID-19 patients, respectively. However, about 25-70% of virus-free COVID-19 survivors continue to sustain virus-induced HMRD and exhibit a wide range of symptoms that are persistent, exacerbated, or new 'onset' clinical incidents, collectively termed as post-acute sequelae of COVID-19 (PASC) or long COVID. PASC patients experience several debilitating clinical condition(s) with >200 different and overlapping symptoms that may last for weeks to months. Chronic PASC is a cumulative outcome of at least 10 different HMRD-related pathophysiological mechanisms involving both virus-derived virulence factors and a multitude of innate host responses. Based on HMRD and virus-free clinical impairments of different human organs/systems, PASC patients can be categorized into 4 different clusters or sub-phenotypes: sub-phenotype-1 (33.8%) with cardiac and renal manifestations; sub-phenotype-2 (32.8%) with respiratory, sleep and anxiety disorders; sub-phenotype-3 (23.4%) with skeleto-muscular and nervous disorders; and sub-phenotype-4 (10.1%) with digestive and pulmonary dysfunctions. This narrative review elucidates the effects of viral hijack on host cellular machinery during SARS-CoV-2 infection, ensuing detrimental effect(s) of virus-induced HMRD on human metabolism, consequential symptomatic clinical implications, and damage to multiple organ systems; as well as chronic pathophysiological sequelae in virus-free PASC patients. We have also provided a few evidence-based, human randomized controlled trial (RCT)-tested, precision nutrients to reset HMRD for health recovery of PASC patients.
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Affiliation(s)
- A Satyanarayan Naidu
- Global Nutrition Healthcare Council (GNHC) Mission-COVID, Yorba Linda, CA, USA.
- N-terminus Research Laboratory, 232659 Via del Rio, Yorba Linda, CA, 92887, USA.
| | - Chin-Kun Wang
- Global Nutrition Healthcare Council (GNHC) Mission-COVID, Yorba Linda, CA, USA
- School of Nutrition, Chung Shan Medical University, 110, Section 1, Jianguo North Road, Taichung, 40201, Taiwan
| | - Pingfan Rao
- Global Nutrition Healthcare Council (GNHC) Mission-COVID, Yorba Linda, CA, USA
- College of Food and Bioengineering, Fujian Polytechnic Normal University, No.1, Campus New Village, Longjiang Street, Fuqing City, Fujian, China
| | - Fabrizio Mancini
- Global Nutrition Healthcare Council (GNHC) Mission-COVID, Yorba Linda, CA, USA
- President-Emeritus, Parker University, 2540 Walnut Hill Lane, Dallas, TX, 75229, USA
| | - Roger A Clemens
- Global Nutrition Healthcare Council (GNHC) Mission-COVID, Yorba Linda, CA, USA
- University of Southern California, Alfred E. Mann School of Pharmacy/D. K. Kim International Center for Regulatory & Quality Sciences, 1540 Alcazar St., CHP 140, Los Angeles, CA, 90089, USA
| | - Aman Wirakartakusumah
- International Union of Food Science and Technology (IUFoST), Guelph, ON, Canada
- IPMI International Business School Jakarta; South East Asian Food and Agriculture Science and Technology, IPB University, Bogor, Indonesia
| | - Hui-Fang Chiu
- Department of Chinese Medicine, Taichung Hospital, Ministry of Health & Well-being, Taichung, Taiwan
| | - Chi-Hua Yen
- Department of Family and Community Medicine, Chung Shan Medical University Hospital; School of Medicine, Chung Shan Medical University, Taichung, Taiwan
| | - Sebastiano Porretta
- Global Nutrition Healthcare Council (GNHC) Mission-COVID, Yorba Linda, CA, USA
- President, Italian Association of Food Technology (AITA), Milan, Italy
- Experimental Station for the Food Preserving Industry, Department of Consumer Science, Viale Tanara 31/a, I-43121, Parma, Italy
| | - Issac Mathai
- Global Nutrition Healthcare Council (GNHC) Mission-COVID, Yorba Linda, CA, USA
- Soukya International Holistic Health Center, Whitefield, Bengaluru, India
| | - Sreus A G Naidu
- Global Nutrition Healthcare Council (GNHC) Mission-COVID, Yorba Linda, CA, USA
- N-terminus Research Laboratory, 232659 Via del Rio, Yorba Linda, CA, 92887, USA
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Pal R, Adhikari D, Heyat MBB, Ullah I, You Z. Yoga Meets Intelligent Internet of Things: Recent Challenges and Future Directions. Bioengineering (Basel) 2023; 10:459. [PMID: 37106646 PMCID: PMC10135646 DOI: 10.3390/bioengineering10040459] [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: 02/22/2023] [Revised: 03/30/2023] [Accepted: 04/06/2023] [Indexed: 04/29/2023] Open
Abstract
The physical and mental health of people can be enhanced through yoga, an excellent form of exercise. As part of the breathing procedure, yoga involves stretching the body organs. The guidance and monitoring of yoga are crucial to ripe the full benefits of it, as wrong postures possess multiple antagonistic effects, including physical hazards and stroke. The detection and monitoring of the yoga postures are possible with the Intelligent Internet of Things (IIoT), which is the integration of intelligent approaches (machine learning) and the Internet of Things (IoT). Considering the increment in yoga practitioners in recent years, the integration of IIoT and yoga has led to the successful implementation of IIoT-based yoga training systems. This paper provides a comprehensive survey on integrating yoga with IIoT. The paper also discusses the multiple types of yoga and the procedure for the detection of yoga using IIoT. Additionally, this paper highlights various applications of yoga, safety measures, various challenges, and future directions. This survey provides the latest developments and findings on yoga and its integration with IIoT.
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Affiliation(s)
- Rishi Pal
- Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Deepak Adhikari
- School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610056, China
| | - Md Belal Bin Heyat
- IoT Research Center, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China
| | - Inam Ullah
- Department of Computer Engineering, Gachon University, Sujeong-gu, Seongnam 13120, Republic of Korea
| | - Zili You
- Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
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