Exploring the correlation between body mass index and severity of COVID-19 in adult patients at Nakornping Hospital, Chiang Mai Province

Authors

  • Waratsuda Samuthtai Nakornping Hospital https://orcid.org/0000-0003-1877-607X
  • Krittiyaporn Chanphrommin Medical Education Center, Nakornping Hospital
  • Praphaporn Phrabali Medical Education Center, Nakornping Hospital
  • Pornjira Siriwattana Medical Education Center, Nakornping Hospital
  • Monthanat Srichumphu Medical Education Center, Nakornping Hospital
  • Apisara Luadngern Medical Education Center, Nakornping Hospital
  • Warasa Khamprathueng Medical Education Center, Nakornping Hospital

Keywords:

BMI, COVID-19, age, severity

Abstract

Background: Body mass index (BMI) has been identified as a significant risk factor associated with the severity of coronavirus disease 2019 (COVID-19).

Objectives: This study aims to determine the BMI threshold that accurately predicts the severity of COVID-19 infection. Additionally, it explores the relationship between BMI, age, comorbidities, and disease severity at Nakornping Hospital, Chiang Mai.

Methods: A retrospective cohort study was conducted, including all COVID-19 patients aged 15 years or more, diagnosed with real-time PCR, and hospitalized between January 1, 2020, and May 25, 2021.

Results: The study comprised 195 patients, revealing that individuals with a BMI ranging from 26 to 29.99 and those with a BMI over 30 kg/m² had a higher likelihood of experiencing severe COVID-19 infection in 2019. The adjusted risk ratios for these BMI categories were 1.35 (95% CI 1.351-1.352) and 3.03 (95% CI 2.101-4.373), respectively, with a p-value of less than 0.001. Additionally, individuals with a BMI of 30 or above, along with age and chronic kidney disease, were identified as contributors to the increased severity of COVID-19.

Conclusion: Patients with a BMI of 30 kg/m² or above, advanced age, and chronic kidney disease are factors contributing to the severity of coronavirus infection. Notably, individuals with a BMI above 26 and age over 40 were found to be better predictors of severity compared to those with a BMI over 30 and age over 60.

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Published

05-08-2024

How to Cite

Samuthtai, W., Chanphrommin, K. ., Phrabali, P. ., Siriwattana, P. ., Srichumphu, M. ., Luadngern, A. ., & Khamprathueng, W. . (2024). Exploring the correlation between body mass index and severity of COVID-19 in adult patients at Nakornping Hospital, Chiang Mai Province. Journal of Nakornping Hospital, 15(2), 257–271. Retrieved from https://he01.tci-thaijo.org/index.php/jnkp/article/view/268381

Issue

Vol. 15 No. 2 (2024): July - December 2024

Section

Research article

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