Predictors of Health-Related Quality of Life and Influencing Factors for COVID-19 Patients, a Follow-Up at One Month

Ke-Yang Chen, Ting Li, Fang-Hua Gong, Jin-San Zhang, Xiao-Kun Li, Ke-Yang Chen, Ting Li, Fang-Hua Gong, Jin-San Zhang, Xiao-Kun Li

Abstract

Objective: To survey the health-related quality of life (HRQoL) and its influencing factors among patients with COVID-19 in their first medical follow up.

Methods: All patients diagnosed with COVID-19 were discharged from 12 hospitals in Wenzhou, Zhejiang from Jan 17, 2020 to Mar 20, 2020. Prospectively collected and analyzed data included demographics, clinical symptoms, comorbidity, and chest CT imaging features at the first follow up, 1 month after discharge. All patients underwent the HRQoL evaluation with the Chinese version of Short-Form 36-item questionnaire (SF-36) as well as a general condition questionnaire. Factors associated with SF-36 were constructed using linear regression. Predictors of impaired physical component summary (PCS) and a mental component summary (MCS) were identified by logistic regression.

Results: SF-36 demonstrated a significant difference in HRQoL in patients with COVID-19, except in physical function (PF), when compared to the general Chinese population (p<0.05). The multiple linear regressions demonstrated that age was negatively associated with PF, role physical (RP), but positively associated with vitality (VT) (p<0.05). PF, bodily pain (BP), and role-emotional (RE) were negatively associated with the female sex (p<0.05). For mental health, the clinical subtypes were significant associated factors (p < 0.05). Length of stay (LOS) was strongly negatively associated with RE and RP, and positively associated with VT (p< 0.05). Logistical regression revealed that non-obese overweight (OR 3.71) and obesity (OR 3.94) were risk factors for a low PCS and female sex (OR 2.22) was a risk factor for a low MCS.

Conclusions: Health-related quality of life was poor among COVID-19 patients at the 1 month follow-up. Patients suffered from significant physical and psychological impairment. Therefore, prospective monitoring of individuals exposed to SARS-CoV-2 is needed in order to fully understand the long-term impact of COVID-19, as well as to inform prompt and efficient interventions to alleviate suffering.

Keywords: COVID-19; SF-36; follow-up; health-related quality of life; influencing factors.

Copyright © 2020 Chen, Li, Gong, Zhang and Li.

Figures

Figure 1
Figure 1
Mean scores in SF-36 for COVID-19 patients vs. Chinese population norms. PF, physical functioning; SF, social functioning; RP, role limitation due to physical problems; RE, role limitation due to emotional problems; MH, mental health; BP, bodily pain; VT, vitality; GH, general health. *p

References

    1. World Health Organization Clinical management of severe acute respiratory infection when novel coronavirus (2019-nCoV) infection is suspected: interim guidance, 28 January 2020. World Health Organization; (2020).
    1. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet (2020) 395(10223):497–506. 10.1016/S0140-6736(20)30183-5
    1. Richardson KM, Rothstein HR. Effects of occupational stress management intervention programs: a meta-analysis. J Occup Health Psychol (2008) 13(1):69–93. 10.1037/1076-8998.13.1.69
    1. Asadi-Pooya AA, Simani L. Central nervous system manifestations of COVID-19: A systematic review. J Neurol Sci (2020) (1878-5883):116832. 10.1016/j.jns.2020.116832
    1. Bansal M. Cardiovascular disease and COVID-19. Diabetes Metab Syndr (2020) 14(3):247–50. 10.1016/j.dsx.2020.03.013
    1. Terpos E, Ntanasis-Stathopoulos I, Elalamy I, Kastritis E, Sergentanis TN, Politou M, et al. Hematological findings and complications of COVID-19. Am J Hematol (2020) 95(7):834–47. 10.1002/ajh.25829
    1. Bao Y, Sun Y, Meng S, Shi J, Lu L. 2019-nCoV epidemic: address mental health care to empower society. Lancet (2020) 395(10224):e37–8. 10.1016/S0140-6736(20)30309-3
    1. Tran BX, Ha GH, Nguyen LH, Vu GT, Hoang MT, Le HT, et al. Studies of Novel Coronavirus Disease 19 (COVID-19) Pandemic: A Global Analysis of Literature. Int J Environ Res Public Health (2020) 17(11):E4095. 10.3390/ijerph17114095
    1. Gill TM, Feinstein AR. A critical appraisal of the quality of quality-of-life measurements. JAMA (1994) 272(8):619–26. 10.1001/jama.272.8.619
    1. Caballero T, Prior N. Burden of Illness and Quality-of-Life Measures in Angioedema Conditions. Immunol Allergy Clin North Am (2017) 37:597–616. 10.1016/j.iac.2017.04.005
    1. Lins L, Carvalho FM. SF-36 total score as a single measure of health-related quality of life: Scoping review. SAGE Open Med (2016) 4:1–12. 10.1177/2050312116671725
    1. Han Y, Liu Y, Zhou L, Chen E, Liu P, Pan X, et al. Epidemiological Assessment of Imported Coronavirus Disease 2019 (COVID-19) Cases in the Most Affected City Outside of Hubei Province, Wenzhou, China. JAMA Netw Open (2020) 3(4):e206785. 10.1001/jamanetworkopen.2020.6785
    1. Wu JT, Leung K, Leung GM. Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. Lancet (2020) 395:689–97. 10.1016/S0140-6736(20)30260-9
    1. Jin YH, Cai L, Cheng ZS, Cheng H, Deng T, Fan YP, et al. A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus (2019-nCoV) infected pneumonia (standard version). Mil Med Res (2020) 7:4. 10.1186/s40779-020-0233-6
    1. Li L, Wang H, Shen Y. Development and psychometric tests of a Chinese version of the SF-36 Health Survey Scales. Zhonghua Yu Fang Yi Xue Za Zhi (2002) 36(2):109–13. 10.3760/j:issn:0253-9624.2002.02.011
    1. Mishra GD, Hockey R, Dobson AJ. A comparison of SF-36 summary measures of physical and mental health for women across the life course. Qual Life Res (2014) 23(5):1515–21. 10.1007/s11136-013-0586-3
    1. Rui W, Cheng W, Ma XQ, Zhao YF, Yan XY, Jia H. Health-related quality of life in Chinese people: a population-based survey of five cities in China. Scand J Public Health (2011) 39(4):410–8. 10.1177/1403494810395817
    1. Li K, Wu J, Wu F, Guo D, Chen L, Fang Z, et al. The Clinical and Chest CT Features Associated With Severe and Critical COVID-19 Pneumonia. Invest Radiol (2020) 55(6):327–31. 10.1097/RLI.0000000000000672
    1. Wilder-Smith A, Freedman DO. Isolation, quarantine, social distancing and community containment: pivotal role for old-style public health measures in the novel coronavirus (2019-nCoV) outbreak. J Travel Med (2020) 27(2):taaa020. 10.1093/jtm/taaa020
    1. Wang CA, Pan R, Wan X, Tan Y, Xu L, Ho CS, et al. Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China. Int J Environ Res Public Health (2020) 17:1729. 10.3390/ijerph17051729
    1. Yao H, Chen JH, Xu YF. Patients with mental health disorders in the COVID-19 epidemic. Lancet Psychiatry (2020) 7(4):e21. 10.1016/S2215-0366(20)30090-0
    1. Baig AM, Khaleeq A, Ali U, Syeda H. Evidence of the COVID-19 Virus Targeting the CNS: Tissue Distribution, Host-Virus Interaction, and Proposed Neurotropic Mechanisms. ACS Chem Neurosci (2020) 11(7):995–8. 10.1021/acschemneuro.0c00122
    1. Ziegler CGK, Allon SJ, Nyquist SK, Mbano IM, Miao VN, Tzouanas CN, et al. SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues. Cell (2020) 181(5):1016–1035.e19. 10.1016/j.cell.2020.04.035
    1. Desforges M, Le Coupanec A, Dubeau P, Bourgouin A, Lajoie L, Dubé M, et al. Human Coronaviruses and Other Respiratory Viruses: Underestimated Opportunistic Pathogens of the Central Nervous System? Virus (2019) 12(1):14. 10.3390/v12010014
    1. Liu Y, Lee DC, Li Y, Zhu W, Zhang R, Sui X, et al. Associations of Resistance Exercise with Cardiovascular Disease Morbidity and Mortality. Med Sci Sports Exercise (2019) 51(3):499–508. 10.1249/MSS.0000000000001822
    1. Ware JE KM. SF-36 physical and mental health summary scales: a manual for users of version 1. 2nd ed. Lincoln, RI: QualityMetric Incorportated; (2005).
    1. Kerr ZY, Thomas LC, Simon JE, McCrea M, Guskiewicz KM. Association Between History of Multiple Concussions and Health Outcomes Among Former College Football Players: 15-Year Follow-up From the NCAA Concussion Study (1999-2001). Am J Sports Med (2018) 46(7):1733–41. 10.1177/0363546518765121
    1. Kerr ZY, DeFreese JD, Marshall SW. Current physical and mental health of former collegiate athletes. Orthop J Sports Med (2014) 2(8):2325967114544107. 10.1177/2325967114544107
    1. Park SA-O. Pathways linking obesity to health-related quality of life. Qual Life Res (2017) 26(8):2209–18. 10.1007/s11136-017-1565-x
    1. Del Core MA, Ahn J, Wukich DK, Liu GT, Lalli T, VanPelt MD, et al. Gender Differences on SF-36 Patient-Reported Outcomes of Diabetic Foot Disease. Int J Lower Extrem Wounds (2018) 17(2):87–93. 10.1177/1534734618774664

Source: PubMed

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