# Long-term health effects of COVID-19 among patients in Croatian primary care settings

**Authors:** Branislava Popović, Ana Lesac Brizić, Aleksandar Ljubotina, Tina Zavidić, Vedrana Tudor Špalj, Roberta Marković Štimac, Martina Fišić Jurković, Nina Bašić Marković, Ines Diminić Lisica, Jasna Vučak, Nives Radošević Quadranti

PMC · DOI: 10.3389/fmed.2026.1740432 · Frontiers in Medicine · 2026-01-29

## TL;DR

This study examines long-term health effects of COVID-19 in Croatia, finding that severe infection and certain pre-existing conditions increase the risk of post-COVID symptoms.

## Contribution

The study identifies risk factors and health outcomes associated with post-COVID conditions in primary care settings.

## Key findings

- Severe COVID-19 and older age are strongly associated with long-term pulmonary and neurological effects.
- Vaccination is linked to milder disease and lower risk of post-COVID conditions.
- Pre-existing conditions like diabetes and obesity predict brain fog and mental health disorders after infection.

## Abstract

The COVID-19 pandemic has left lasting effects that extend beyond the acute phase of infection, with increasing evidence of long-term health consequences. This study aimed to assess the prevalence of post-COVID symptoms and conditions and to identify associated risk factors, including pre-existing chronic diseases, COVID-19 vaccination status, and severity of acute infection.

This retrospective cross-sectional study was conducted in 10 family medicine practices in Croatia. The data collected from medical records included demographics, COVID-19 vaccination status, SARS-CoV-2 infection history and severity, and documented health conditions before and after infection. Descriptive statistics were used to summarize the data. Group differences were analyzed using the independent samples t-test or χ2 test. Variables significant in univariate analyses (p < 0.05) were included into multivariate regression models. Multiple linear regression was used to identify predictors of COVID-19 severity, and binary logistic regression was applied to determine factors associated with post-COVID conditions. Results are presented as regression coefficients (β) or odds ratios (OR) with 95% confidence intervals (CI). A p-value < 0.05 was considered statistically significant.

The study included 1,423 participants (58.0% female; mean age 52.6 ± 17.2 years), of whom 82.4% had confirmed SARS-CoV-2 infection and 32.3% were unvaccinated. At least one chronic disease was present in 28.1% of participants. The most frequently reported post-COVID conditions were brain fog (4.9%), neurological disorders (4.7%), cardiovascular diseases (2.9%), shortness of breath (2.8%), obesity (2.7%) and mental health disorders (2.6%). Greater COVID-19 severity was independently associated with pulmonary disease (β = 0.22; p = 0.031) and older age, particularly 51–65 years (β = 0.31; p < 0.001) and ≥66 years (β = 0.50; p < 0.001). COVID-19 vaccination was associated with milder disease (β = −0.21; p < 0.001). Previous cardiovascular and musculoskeletal diseases significantly increased the risk of thromboembolism. Diabetes, obesity, and number of vaccine doses were predictors of brain fog, while neurological comorbidities predicted post-COVID mental health disorders.

Post-COVID symptoms and conditions represent an important long-term public health challenge. Family medicine physicians play a key role in early recognition, monitoring, and management of post-COVID sequelae, contributing to improved long-term patient outcomes.

## Linked entities

- **Diseases:** obesity (MONDO:0011122), diabetes (MONDO:0005015)

## Full-text entities

- **Diseases:** neurological comorbidities (MESH:D009461), acute infection (MESH:D000208), brain fog (MESH:D005222), Post-COVID symptoms (MESH:D000094024), chronic diseases (MESH:D002908), cardiovascular and musculoskeletal diseases (MESH:D009140), obesity (MESH:D009765), thromboembolism (MESH:D013923), shortness of breath (MESH:D004417), cardiovascular diseases (MESH:D002318), infection (MESH:D007239), pulmonary disease (MESH:D008171), COVID-19 (MESH:D000086382), Diabetes (MESH:D003920), mental health disorders (OMIM:603663)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12893981/full.md

## References

30 references — full list in the complete paper: https://tomesphere.com/paper/PMC12893981/full.md

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Source: https://tomesphere.com/paper/PMC12893981