TY - JOUR
T1 - A multinational cross-sectional study on the prevalence and predictors of long COVID across 33 countries
AU - Long-COVID International Team (LCIT)
AU - Zaazouee, Mohamed Sayed
AU - Nada, Eman Ayman
AU - Al-kafarna, Mohammed
AU - Shaheen, Ahmed
AU - Ramu, Shivabalan Kathavarayan
AU - Hafez, Abdelrahman H.
AU - Matar, Sajeda Ghassan
AU - Assar, Ahmed
AU - Elshennawy, Mohamed
AU - Abu El-Enien, Hazem
AU - Redwan, Hala Jamal
AU - Elsayed, Sarah Makram
AU - Omran, Maha Jabir
AU - Salloum, Omar Hammam
AU - Almadhoon, Hossam
AU - Mamdouh, Mohamed
AU - Wahsh, Engy A.
AU - Nourelden, Anas Zakarya
AU - Elshanbary, Alaa Ahmed
AU - Abdel-Aziz, Walid
AU - Rashid, Hivan Haji
AU - Basheti, Iman
AU - Ragab, Khaled Mohamed
AU - Masoud, Ahmed Taher
AU - Abushouk, Abdelrahman I.
AU - Onyango, Mohamed
AU - Al-Khadher, Aiman
AU - Alsoufi, Abdullah Mohamed
AU - Yousef, Nagwan Mansoor
AU - Maknoon, Ahmed Sadeq
AU - Al-Akhdhary, Amal Shukri Ali Abdulqader
AU - Kenna, Oumaima
AU - Aboumedian, Fatima Zahra
AU - Bouhajra, Musab
AU - Kessab, Samia
AU - Aboumedian, Arwa
AU - Aji, Narjiss
AU - Ahumada, Priscilla Lopez
AU - Rosero, Tania Elizabeth Bolaños
AU - Valencia, Carlos Andrés Urrea
AU - Castro, Iris Rebeca Campos
AU - Sosiawan, Agung
AU - Rizky, Beta Novia
AU - Bramantoro, Taufan
AU - Sitalaksmi, Ratri Maya
AU - Rizqiawan, Andra
AU - Ernawati, Diah Savitri
AU - Nugraha, Alexander Patera
AU - Ramadhani, Nastiti Faradilla
AU - Setyowati, Dini
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/12
Y1 - 2025/12
N2 - The symptoms of long COVID (LC) can be debilitating and may be associated with anxiety, social stigma, and quality of life deterioration. Identifying patients at risk of LC is important to offer follow-up care and plan population-level public health measures. The current multinational study aimed to assess the prevalence and predictors of LC in the general population. We conducted an online, multinational, cross-sectional survey between April 2022 and January 2023, targeting participants 18 years and older with a previously confirmed COVID-19 infection. We used convenience sampling to recruit participants through an online Google form. We collected demographic data, past medical history, infection details, post-COVID-19 symptoms, and quality of life. Responses were then translated into English. LC was defined as per the World Health Organization. A single-variable analysis was conducted to identify factors significantly associated with LC development. Following the removal of multicollinear variables, a generalized linear model was established to estimate the contribution of different predictors to LC occurrence. A total of 11,801 respondents from 33 countries were included in the analysis. The mean age for participants was 32.7 ± 12.8 years, with 61% being females. BMI averaged 25.2 ± 4.8 across participants, and 14.8% of them were smokers. Seventy-eight percent of participants reported receiving the COVID-19 vaccine. Respondents with PCR-confirmed COVID-19 were then categorized into those with LC (N = 2335, 19.8%) and without LC (N = 9466 individuals, 80.2%). Our model identified 25 significant predictors. The predictors of higher LC risk included ICU admission (OR 2.08; 95% CI 1.36, 3.18; P = 0.001), female sex (OR 1.8; 95% CI 1.61, 2.02; P < 0.001), fatigue during the infection (OR 1.6; 95% CI 1.43, 1.78; P < 0.001), identifying as Hispanic (OR 1.53; 95% CI 1.26, 1.85; P < 0.001), and pre-existing gastrointestinal disease (OR 1.48; 95% CI 1.22, 1.8; P < 0.001). In conclusion, we identified key LC predictors, including ICU admission, female sex, and acute fatigue as primary risk factors, while African American and Asian ethnicities and receiving even one dose of vaccination demonstrated protective effects.
AB - The symptoms of long COVID (LC) can be debilitating and may be associated with anxiety, social stigma, and quality of life deterioration. Identifying patients at risk of LC is important to offer follow-up care and plan population-level public health measures. The current multinational study aimed to assess the prevalence and predictors of LC in the general population. We conducted an online, multinational, cross-sectional survey between April 2022 and January 2023, targeting participants 18 years and older with a previously confirmed COVID-19 infection. We used convenience sampling to recruit participants through an online Google form. We collected demographic data, past medical history, infection details, post-COVID-19 symptoms, and quality of life. Responses were then translated into English. LC was defined as per the World Health Organization. A single-variable analysis was conducted to identify factors significantly associated with LC development. Following the removal of multicollinear variables, a generalized linear model was established to estimate the contribution of different predictors to LC occurrence. A total of 11,801 respondents from 33 countries were included in the analysis. The mean age for participants was 32.7 ± 12.8 years, with 61% being females. BMI averaged 25.2 ± 4.8 across participants, and 14.8% of them were smokers. Seventy-eight percent of participants reported receiving the COVID-19 vaccine. Respondents with PCR-confirmed COVID-19 were then categorized into those with LC (N = 2335, 19.8%) and without LC (N = 9466 individuals, 80.2%). Our model identified 25 significant predictors. The predictors of higher LC risk included ICU admission (OR 2.08; 95% CI 1.36, 3.18; P = 0.001), female sex (OR 1.8; 95% CI 1.61, 2.02; P < 0.001), fatigue during the infection (OR 1.6; 95% CI 1.43, 1.78; P < 0.001), identifying as Hispanic (OR 1.53; 95% CI 1.26, 1.85; P < 0.001), and pre-existing gastrointestinal disease (OR 1.48; 95% CI 1.22, 1.8; P < 0.001). In conclusion, we identified key LC predictors, including ICU admission, female sex, and acute fatigue as primary risk factors, while African American and Asian ethnicities and receiving even one dose of vaccination demonstrated protective effects.
KW - Covid-19
KW - Long Covid
KW - Multi-national
KW - Re-infection
KW - Vaccination
UR - https://www.scopus.com/pages/publications/105012916370
U2 - 10.1038/s41598-025-10120-z
DO - 10.1038/s41598-025-10120-z
M3 - Article
C2 - 40754541
AN - SCOPUS:105012916370
SN - 2045-2322
VL - 15
JO - Scientific Reports
JF - Scientific Reports
IS - 1
M1 - 28299
ER -