Background: The pandemic, coronavirus disease 2019 (COVID-19) has led to a heavy toll on the human health. The aim of this study was to determine the influence of body fat distribution, evolving long-term effect on autonomic function, and its correlation with Chalder Fatigue Severity Score in post-COVID-19-recovered individuals of Indian ethnicity.
Materials And Method: A case-control study was conducted in the Department of Physiology on 31 cases and 29 age- and gender-matched controls. Cardiovascular evaluation including heart rate variability (HRV), galvanic skin response (GSR), body fat analysis, and Chalder Fatigue Severity Score was performed on the study participants. The continuous variables of basal anthropometric parameters, GSR values, HRV indices, and body fat parameters are expressed as mean and standard deviation (SD).
Results: Diastolic blood pressure (DBP) was significantly increased among cases ( = 0.04). GSR (average) for cases is higher when compared to controls and was borderline significant ( = 0.05). There were no statistically significant differences in the HRV parameters. Cases showed significantly higher body fat distribution as compared to the control group indicating increased susceptibility of the obese population to COVID-19. Chalder's post-COVID-19 Fatigue Severity Score of cases showed a negative correlation with LF:HF and RMSSD but it was not statistically significant.
Conclusion: In our study, we conclude that there was a significant increase in DBP and GSR (average) with significantly higher visceral fat percentage, body fat percentage, subcutaneous fat percentage, skeletal muscle percentage, and trunk fat percentage in cases as compared to the control group suggestive of higher propensity of obese individuals suffering from COVID-19 and resulting in dysautonomia as compared to the controls.
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http://dx.doi.org/10.4103/jehp.jehp_1081_23 | DOI Listing |
Nature
January 2025
Laboratory for Immune Cell Systems, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Our understanding of type 2 immunity has undergone a substantial transformation in recent years, revealing previously unknown functions. Beyond its canonical role in defence against parasitic helminth infections, type 2 immunity safeguards the host through additional mechanisms, including the suppression of excessive type 1 immune responses, regulation of tissue repair and maintenance of adipose tissue homeostasis. However, unlike type 1 immune responses, type 2 immunity is perceived as a potential promoter of tumorigenesis.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Gastrointestinal Surgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No. 168 Litang Road, Changping District, Beijing, 102218, China.
The objective of this study was to develop a novel scoring model, assess its diagnostic value for complex appendicitis, and compare it with existing scoring systems. A total of 1,241 patients with acute appendicitis were included, comprising 868 patients in the modeling group (mean age, 35.6 ± 14.
View Article and Find Full Text PDFJ Hepatobiliary Pancreat Sci
January 2025
Department of Gastroenterology and Hepatology, Hokkaido University Hospital, Sapporo, Japan.
Background: High subcutaneous adipose tissue radiodensity (SATr), an indirect surrogate marker of adipose tissue quality, was associated with poor prognosis in various cancers. The present study aimed to assess the association of SATr with survival outcomes in patients with advanced biliary tract cancer (BTC).
Methods: This retrospective, single-center study included patients with unresectable or recurrent BTC who underwent chemotherapy/chemoradiotherapy.
Gut Liver
January 2025
Department of Internal Medicine and Liver Research Institute, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Background/aims: The incidence of steatotic liver disease (SLD) is increasing across all age groups as the incidence of obesity increases worldwide. The existing noninvasive prediction models for SLD require laboratory tests or imaging and perform poorly in the early diagnosis of infrequently screened populations such as young adults and individuals with healthcare disparities. We developed a machine learning-based point-of-care prediction model for SLD that is readily available to the broader population with the aim of facilitating early detection and timely intervention and ultimately reducing the burden of SLD.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Department of Food Science and Biotechnology, National Chung Hsing University, 145 Xingda Road, Taichung 40227, Taiwan. Electronic address:
The rising pandemic of obesity has received significant attention. Yet, more safe and effective targeted strategies must be used to mitigate its impact on individual health and the global disease burden. While the health benefits of resistant starch (RS) are well-documented, the role of RT-90 (a phosphate-modified tapioca RS containing 90.
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