Psychological symptoms and risk factors associated with long COVID: a study on the Indian cohort

The long-term neurological effects of COVID-19, such as lack of concentration, loss of memory, and anxiety, present major concerns for COVID-19 Recovered Individuals (CRIs). Our study aims at understanding these long-term COVID-19 symptoms (LCS) and associated risk factors among the Indian cohort. In this two-part study, we analyze self-reported symptom information such as fatigue in different life spheres, symptoms experienced in past months, hospitalization status, and sex of Healthy Controls (HCs) and CRIs. In Study 1, we compare the symptoms of 62 CRIs (16 Females; 30.60 ± 10.34 years) with 36 hCs (11 Females; 27.53 ± 7.3 years). Chi-square analysis revealed that both the groups differ significantly from each other in terms of self-reported major symptoms experienced (MSEs) (<i>p</i> < 0.001) and major life spheres being affected by fatigue (MLSA) (<i>p</i> = 0.008). Further, in Study 2, we explore predictive models for these symptoms as reported by 57 of the CRIs (15 Females; 31.28 ± 10.50 years) using logistic regression and receiver operator characteristic (ROCs) information, with unrefreshing sleep, hospitalization status, and sex as the predictors for LCS. Statistical analysis reveals unrefreshing sleep as an important predictor of attention issues (odds ratio (OR) = 6.25, <i>p</i> = 0.003), anxiety issues (OR = 7.75, <i>p</i> = 0.018), and fatigue (OR = 5.83, <i>p</i> = 0.018) but was found non-significant for memory issues (OR = 1.86, <i>p</i> = 0.513) among CRIs. Hospitalization status and sex were not found to significantly affect these reported symptoms.

Authors

Institutions

Publication Details

Journal
Psychology Health & Medicine
Published
2025-04-24
DOI
https://doi.org/10.1080/13548506.2025.2496831
Citations
2
Primary Topic
Long-Term Effects of COVID-19
Type
article
Field-Weighted Citation Impact
2.78
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Psychological symptoms and risk factors associated with long COVID: a study on the Indian cohort

Bharat B. Biswal, Sapna S. Mishra, Tapan Kumar Gandhi, Hritik Gupta
2 citations
Psychology Health & Medicine
Long-Term Effects of COVID-19
2.78
article

Psychological symptoms and risk factors associated with long COVID: a study on the Indian cohort

Bharat B. Biswal, Sapna S. Mishra, Tapan Kumar Gandhi, Hritik Gupta
article en
2 citations

Abstract

The long-term neurological effects of COVID-19, such as lack of concentration, loss of memory, and anxiety, present major concerns for COVID-19 Recovered Individuals (CRIs). Our study aims at understanding these long-term COVID-19 symptoms (LCS) and associated risk factors among the Indian cohort. In this two-part study, we analyze self-reported symptom information such as fatigue in different life spheres, symptoms experienced in past months, hospitalization status, and sex of Healthy Controls (HCs) and CRIs. In Study 1, we compare the symptoms of 62 CRIs (16 Females; 30.60 ± 10.34 years) with 36 hCs (11 Females; 27.53 ± 7.3 years). Chi-square analysis revealed that both the groups differ significantly from each other in terms of self-reported major symptoms experienced (MSEs) (<i>p</i> < 0.001) and major life spheres being affected by fatigue (MLSA) (<i>p</i> = 0.008). Further, in Study 2, we explore predictive models for these symptoms as reported by 57 of the CRIs (15 Females; 31.28 ± 10.50 years) using logistic regression and receiver operator characteristic (ROCs) information, with unrefreshing sleep, hospitalization status, and sex as the predictors for LCS. Statistical analysis reveals unrefreshing sleep as an important predictor of attention issues (odds ratio (OR) = 6.25, <i>p</i> = 0.003), anxiety issues (OR = 7.75, <i>p</i> = 0.018), and fatigue (OR = 5.83, <i>p</i> = 0.018) but was found non-significant for memory issues (OR = 1.86, <i>p</i> = 0.513) among CRIs. Hospitalization status and sex were not found to significantly affect these reported symptoms.

Psychology Health & MedicineVol. 30(10)
New Jersey Institute of Technology (US)
Openalex Percentile: Top 11%
Long-Term Effects of COVID-19
2.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.