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Li T, He B, Liu Y, Wang C. Accumulated subcutaneous fat in abdomen is associated with long COVID-19 symptoms among non-hospitalized patients: a prospective observational study. Front Med (Lausanne) 2024; 11:1410559. [PMID: 39469144 PMCID: PMC11514070 DOI: 10.3389/fmed.2024.1410559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 10/02/2024] [Indexed: 10/30/2024] Open
Abstract
Introduction Long COVID-19 symptoms may have a variety of potential overlapping causes. In this study, we aimed to investigate the potential correlation between abdominal adipose tissue and long COVID-19 symptoms in non-hospitalized patients in China. Methods This is a prospective observational study. 424 subjects, recovered from COVID-19 for 2-4 weeks, were enrolled and 408 subjects were finished the follow-up investigation at baseline, 8th week and 12th week. Physical measurements were collected. Kaplan-Meier analysis and cox regression analysis were carried out to assess the correlation. Results A total of 72 subjects reported the long COVID-19 symptoms. The adjusted Kaplan-Meier analysis and Cox regression analysis revealed a significant correlation with accumulated subcutaneous fat (SFA ≥ 2.0 dm2) and the long COVID-19 symptoms (HR = 2.63, P < 0.001 for male, HR = 1.52, P = 0.048 for female). However, overweight and central obesity showed positive correlation only in women. Discussion This study suggested that accumulated subcutaneous fat in abdomen (SFA ≥ 2.0 dm2) was an important positive factor associated with long COVID-19 symptoms among Chinese non-hospitalized patients. Large investigation and prospective studies are needed to validate the correlation in the future.
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Affiliation(s)
- Tingxin Li
- Department of Health Management Center and Institute of Health Management, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Baoming He
- Department of Neurology, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuping Liu
- Department of Health Management Center and Institute of Health Management, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Chen Wang
- Ultrasound in Cardiac Electrophysiology and Biomechanics Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cardiovascular Disease, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Department of Cardiovascular Ultrasound and Noninvasive Cardiology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
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Dong W, Miao Y, Shen Z, Zhang W, Bai J, Zhu D, Ren R, Zhang J, Wu J, Tarimo CS, Ojangba T, Li Y. Quantifying Disparities in COVID-19 Vaccination Rates by Rural and Urban Areas: Cross-Sectional Observational Study. JMIR Public Health Surveill 2024; 10:e50595. [PMID: 39028548 PMCID: PMC11297372 DOI: 10.2196/50595] [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: 07/06/2023] [Revised: 04/04/2024] [Accepted: 05/16/2024] [Indexed: 07/20/2024] Open
Abstract
BACKGROUND Vaccination plays an important role in preventing COVID-19 infection and reducing the severity of the disease. There are usually differences in vaccination rates between urban and rural areas. Measuring these differences can aid in developing more coordinated and sustainable solutions. This information also serves as a reference for the prevention and control of emerging infectious diseases in the future. OBJECTIVE This study aims to assess the current coverage rate and influencing factors of COVID-19 (second booster) vaccination among Chinese residents, as well as the disparities between urban and rural areas in China. METHODS This cross-sectional study used a stratified random sampling approach to select representative samples from 11 communities and 10 villages in eastern (Changzhou), central (Zhengzhou), western (Xining), and northeast (Mudanjiang) Mainland China from February 1 to February 18, 2023. The questionnaires were developed by experienced epidemiologists and contained the following: sociodemographic information, health conditions, vaccine-related information, information related to the Protective Motivation Theory (PMT), and the level of trust in the health care system. Vaccination rates among the participants were evaluated based on self-reported information provided. Binary logistic regression models were performed to explore influencing factors of vaccination among urban and rural participants. Urban-rural disparities in the vaccination rate were assessed using propensity score matching (PSM). RESULTS A total of 5780 participants were included, with 53.04% (3066/5780) being female. The vaccination rate was 12.18% (704/5780; 95% CI 11.34-13.02) in the total sample, 13.76% (341/2478; 95% CI 12.40-15.12) among the rural participants, and 10.99% (363/3302; 95% CI 9.93-12.06) among the urban participants. For rural participants, self-reported health condition, self-efficacy, educational level, vaccine knowledge, susceptibility, benefits, and trust in the health care system were independent factors associated with vaccination (all P<.05). For urban participants, chronic conditions, COVID-19 infection, subjective community level, vaccine knowledge, self-efficacy, and trust in the health care system were independent factors associated with vaccination (all P<.05). PSM analysis uncovered a 3.42% difference in vaccination rates between urban and rural participants. CONCLUSIONS The fourth COVID-19 vaccination coverage rate (second booster) among the Chinese population was extremely low, significantly lower than the previous vaccine coverage rate. Given that COVID-19 infection is still prevalent at low levels, efforts should focus on enhancing self-efficacy to expand the vaccine coverage rate among the Chinese population. For rural residents, building awareness of the vaccine's benefits and improving their overall health status should be prioritized. In urban areas, a larger proportion of people with COVID-19 and patients with chronic illness should be vaccinated.
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Affiliation(s)
- Wenyong Dong
- Department of Hypertension, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Yudong Miao
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Zhanlei Shen
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Wanliang Zhang
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Junwen Bai
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Dongfang Zhu
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Ruizhe Ren
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Jingbao Zhang
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Jian Wu
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Clifford Silver Tarimo
- Department of Science and Laboratory Technology, Dar Es Salaam Institute of Technology, Dar es Salaam, United Republic of Tanzania
| | - Theodora Ojangba
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yi Li
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China
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Chen P, Zhang L, Feng Y, An FR, Su Z, Cheung T, Lok KI, Ungvari GS, Jackson T, Xiang YT, Zhang Q. Prevalence and network structure of post-traumatic stress symptoms and their association with suicidality among Chinese mental health professionals immediately following the end of China's Dynamic Zero-COVID Policy: a national survey. Transl Psychiatry 2023; 13:395. [PMID: 38102131 PMCID: PMC10724192 DOI: 10.1038/s41398-023-02680-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 11/14/2023] [Accepted: 11/27/2023] [Indexed: 12/17/2023] Open
Abstract
Studies on post-traumatic stress symptoms (PTSS) among mental health professionals (MHPs) are limited, particularly since restrictions due to coronavirus disease (COVID-19) have been lifted such as the recent termination of China's Dynamic Zero-COVID Policy. The current study filled this gap by exploring the prevalence, correlates, and network structure of PTSS as well as its association with suicidality from a network analysis perspective. A cross-sectional, national survey was conducted using a convenience sampling method on MHPs between January 22 and February 10, 2023. PTSS were assessed using the Post-Traumatic Stress Disorder Checklist-Civilian version, while suicidality was assessed using standardized questions related to ideation, plans, and attempts. Univariate and multivariate analyses examined correlates of PTSS. Network analysis explored the structure of PTSS and suicidality. The centrality index of "Expected influence" was used to identify the most central symptoms in the network, reflecting the relative importance of each node in the network. The "flow" function was adopted to identify specific symptoms that were directly associated with suicidality. A total of 10,647 MHPs were included. The overall rates of PTSS and suicidality were 6.7% (n = 715; 95% CI = 6.2-7.2%) and 7.7% (n = 821; 95% CI = 7.2-8.2%), respectively. Being married (OR = 1.523; P < 0.001), quarantine experience (OR = 1.288; P < 0.001), suicidality (OR = 3.750; P < 0.001) and more severe depressive symptoms (OR = 1.229; P < 0.001) were correlates of more PTSS. Additionally, higher economic status (e.g., good vs. poor: OR = 0.324; P = 0.001) and health status (e.g., good vs. poor: OR = 0.456; P < 0.001) were correlates of reduced PTSS. PCL6 ("Avoiding thoughts"; EI = 1.189), PCL7 ("Avoiding reminders"; EI = 1.157), and PCL11 ("Feeling emotionally numb"; EI = 1.074) had the highest centrality, while PCL12 ("Negative belief"), PCL 16 ("Hypervigilance") and PCL 14 ("Irritability") had the strongest direct, positive associations with suicidality. A high prevalence of lingering PTSS was found among MHPs immediately after China's "Dynamic Zero-COVID Policy" was terminated. Avoidance and hyper-arousal symptoms should be monitored among at-risk MHPs after the COVID-19 pandemic and serve as potential targets for the prevention and treatment of PTSS in this population.
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Affiliation(s)
- Pan Chen
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
- Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China
| | - Ling Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yuan Feng
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Feng-Rong An
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zhaohui Su
- School of Public Health, Southeast University, Nanjing, China
| | - Teris Cheung
- School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Ka-In Lok
- Faculty of Health Sciences and Sports, Macao Polytechnic University, Macao SAR, China
| | - Gabor S Ungvari
- University of Notre Dame Australia, Fremantle, WA, Australia
- Division of Psychiatry, School of Medicine, University of Western Australia/Graylands Hospital, Perth, WA, Australia
| | - Todd Jackson
- Department of Psychology, University of Macau, Macao SAR, China
| | - Yu-Tao Xiang
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China.
- Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China.
| | - Qinge Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
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Zhang E, Wang X, Dai Z, Zhang X, Shang S, Fang Q. Is vaccine hesitancy related to mental health after the adjustment of the zero-COVID-19 strategy in the elderly? A mediation analysis in China. Hum Vaccin Immunother 2023; 19:2288726. [PMID: 38055950 PMCID: PMC10732663 DOI: 10.1080/21645515.2023.2288726] [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: 09/01/2023] [Accepted: 11/24/2023] [Indexed: 12/08/2023] Open
Abstract
With the global Omicron pandemic and the adjustment of the zero-coronavirus disease 2019 (zero-COVID-19) strategy in China, there is a critical need to improve vaccination rates among older adults while addressing the mental health issues associated with vaccination. This study investigated levels of COVID-19-related anxiety, depression, benefit finding, and fear in older adults and explored the relationship between vaccine hesitancy, sociodemographic factors, and mental health. Participants aged 60 and older (n = 658) were recruited from several cities in the eastern, central, and western China regions. Of these, 347 exhibited vaccine hesitancy. The effects of residence, education, health status, and COVID-19 vaccination on anxiety/depression/benefit-finding were found to be mediated/suppressed by vaccine hesitancy. Additionally, in investigating psychological antecedents, older people without vaccine hesitancy showed higher confidence, lower complacency, fewer constraints, and a greater sense of collective responsibility. This study advances our understanding of mental health differences in anxiety, depression, and benefit-finding across sociodemographic characteristics. It is essential to improve population confidence related to vaccines, accessibility to vaccination services, and responsibility to mitigate vaccine hesitancy while paying close attention to the mental health associated with vaccination in older adults.
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Affiliation(s)
- Enming Zhang
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaolong Wang
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Zhengyue Dai
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Xian Zhang
- Nursing Department, Caohejing Community Health Service Center, Shanghai, China
| | - Shuhui Shang
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Qiong Fang
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
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Zhang S, Liu Q, Yang F, Zhang J, Fu Y, Zhu Z, Guo J, Li X, Yang L. Associations between COVID-19 infection experiences and mental health problems among Chinese adults: A large cross-section study. J Affect Disord 2023; 340:719-727. [PMID: 37597780 DOI: 10.1016/j.jad.2023.08.080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 08/01/2023] [Accepted: 08/14/2023] [Indexed: 08/21/2023]
Abstract
OBJECTIVES This study aimed to: 1) estimate the prevalence of the coronavirus disease 2019 (COVID-19) infection and mental health problems in Chinese adults, after the relaxation of the dynamic zero-COVID-19 policy; 2) examine the relationship between multi-dimensional variables related to COVID-19 infection and mental health symptoms; 3) explore the differences in the above relationship between healthcare workers (HCWs) and general populations. METHOD A large cross-sectional survey of residents in Beijing was conducted from January 13th to February 9th, 2023. A total of 53,762 adults were included in our analyses. RESULTS The infection rate of COVID-19 was 83.6 % in our study sample. The prevalence of depressive and post-traumatic stress symptoms (PTSS) was 20.0 % and 19.2 % in full sample, respectively. People with COVID-19 infection experience developed more mental health problems, especially for those still having physical symptoms. However, participants recovered from infection had lesser PTSS. Multi-dimensional variables related to COVID-19, i.e., infection status, frequency of infection, time from firstly tested positive, number, duration, severity of physical symptoms and the lowest SpO2, were all significantly associated with mental health symptoms. Occupational types were found to moderate the above relationships, and healthcare workers had less mental health symptoms though they had more infection exposure. LIMITATION This was a cross-sectional study, limiting the causal inference. CONCLUSIONS Multi-dimensional indicators related to COVID-19 infection are associated with mental health symptoms. The findings call for that more personalized mental health service should be delivered to the general populations with COVID-19 infection experience.
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Affiliation(s)
- Shan Zhang
- Department of Health Policy and Management, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Qing Liu
- General Practice Department, Second Outpatient Section, Peking University Third Hospital, Beijing, China
| | - Fan Yang
- Department of Health Policy and Management, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Jiawei Zhang
- Department of Health Policy and Management, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Yaqun Fu
- Department of Health Policy and Management, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Zheng Zhu
- Department of Health Policy and Management, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Jing Guo
- Department of Health Policy and Management, School of Public Health, Peking University Health Science Center, Beijing, China.
| | - Xiaoguang Li
- Department of Infectious Diseases, Peking University Third Hospital, Beijing, China.
| | - Li Yang
- Department of Health Policy and Management, School of Public Health, Peking University Health Science Center, Beijing, China.
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