Effects of Long COVID on Psycho-Physical Conditions in the Italian Population: A Statistical and Large Language Model Combined Description

Author:

Lupo Roberto1,Vitale Elsa2ORCID,Panzanaro Ludovica3,Lezzi Alessia4ORCID,Lezzi Pierluigi5,Botti Stefano6ORCID,Rubbi Ivan7ORCID,Carvello Maicol8,Calabrò Antonino9ORCID,Puglia Alessandra10,Conte Luana1112ORCID,De Nunzio Giorgio1112ORCID

Affiliation:

1. “San Giuseppe da Copertino” Hospital, ASL (Local Health Authority) of Lecce, 73043 Copertino, LE, Italy

2. Department of Mental Health, ASL (Local Health Authority) of Bari, 70100 Bari, BA, Italy

3. C.R.A.P. Carrubo, Sol Levante Srl, 74020 Avetrana, TA, Italy

4. ANT Italian Onlus Foundation (National Cancer Association), 73100 Lecce, LE, Italy

5. “Veris Delli Ponti” Hospital, ASL (Local Health Authority) of Lecce, 73020 Scorrano, LE, Italy

6. Hematology Unit, Azienda USL-IRCCS of Reggio Emilia, 42100 Reggio Emilia, RE, Italy

7. School of Nursing, University of Bologna, 40126 Bologna, BO, Italy

8. Community Hospital, ASL (Local Health Authority) of Romagna, 48121 Ravenna, RA, Italy

9. “Nuovo Ospedale Degli Infermi” Hospital, ASL (Local Health Authority), 13900 Biella, BI, Italy

10. Perrino Hospital, ASL (Local Health Authority) of Brindisi, 72100 Brindisi, BR, Italy

11. Laboratory of Biomedical Physics and Environment, Department of Mathematics and Physics “E. De Giorgi”, University of Salento, 73100 Lecce, LE, Italy

12. Advanced Data Analysis in Medicine (ADAM), Laboratory of Interdisciplinary Research Applied to Medicine (DReAM), ASL (Local Health Authority) and University of Salento, 73100 Lecce, LE, Italy

Abstract

Background: Long COVID refers to the persistence or development of signs and symptoms well after the acute phase of COVID-19. Objective of the study: To investigate the long-term outcomes of the SARS-CoV-2 infection in terms of psychological, social, and relational consequences within the Italian population. Materials and methods: We conducted an observational, cross-sectional, and multicenter study using an online questionnaire distributed to a sample of the Italian population. By utilizing the Short Form 12 Health Survey (SF-12) and the Hikikomori scale, we assessed perceived quality of life and social isolation, respectively. The questionnaire also included an open-answer question: “What will you remember about the pandemic period?”. We used generative artificial intelligence to analyze and summarize the corresponding answers. Results: A total of 1097 people participated in this study. A total of 79.3% (n = 870) of participants declared that they had been hospitalized and 62.8% (n = 689) received home care. Physical symptoms included headaches (43%, n = 472) and asthma (30.4%, n = 334). Additionally, 29.2% (n = 320) developed an addiction during the pandemic and, among these, 224 claimed internet addiction while 73 declared an emotional addiction. Furthermore, 51.8% (n = 568) experienced limitations in carrying out daily life activities. According to the Hikikomori scale, participants with positive SARS-CoV-2 infection exhibited higher levels of isolation compared to the others (p < 0.001). Participants without COVID-19 showed higher levels of emotional support (p < 0.001). Our semiautomatic analysis of the open-ended responses, obtained by a procedure based on a free large language model, allowed us to deduce and summarize the main feelings expressed by the interviewees regarding the pandemic. Conclusions: The data collected emphasize the urgent need to investigate the consequences of long COVID in order to implement interventions to support psychological well-being.

Publisher

MDPI AG

Reference38 articles.

1. World Health Organization (WHO) (2023, April 11). WHO Coronavirus (COVID-19) Dashboard. Available online: https://covid19.who.int/.

2. Vitale, E., Galatola, V., and Mea, R. (2021). Observational study on the potential psychological factors that affected Italian nurses involved in the COVID-19 health emergency. Acta Biomed., 92.

3. Bonsaksen, T., Leung, J., Price, D., Ruffolo, M., Lamph, G., Kabelenga, I., Thygesen, H., and Geirdal, A.Ø. (2022). Self-Reported Long-Covid in the General Population: Sociodemographic and Health Correlates in a Cross-National Sample. Life, 12.

4. Duration of effectiveness of vaccines against SARS-CoV-2 infection and COVID-19 disease: Results of a systematic review and meta-regression;Feikin;Lancet,2022

5. Wolf, S., Zechmeister-Koss, I., and Erdös, J. (2022). Possible long COVID healthcare pathways: A scoping review. BMC Health Serv. Res., 22.

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