COVID-19 infection and body weight: A deleterious liaison in a J-curve relationship

Manolis, Antonis S; Manolis, Antonis A.; Manolis, Theodora A.; Apostolaki, Naomi E.; Melita, Helen

doi:10.1016/j.orcp.2021.10.006

Cited by 26 publications

(26 citation statements)

References 140 publications

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“…In our cohort, patients with excessive VF had significantly higher serum levels of CRP ( p = 0.014) and IL-6 ( p = 0.028) on admission compared to those with normal VF levels, possibly suggesting higher inflammation grade. We also note that patients with very high % BF had significantly higher values of LDH ( p = 0.024), another notable COVID-19 predictor ( 1 , 7 ), while no statistically significant relationship was found between BMI and any proinflammatory marker on admission. Finally, despite a good agreement between BMI and % BF in defining obesity, 24.5% of patients with very high % BF values were categorized as non-obese according to BMI.…”

Section: Discussionmentioning

confidence: 62%

“…However, the results regarding mortality are still inconsistent. Although some studies advocate obesity, defined by BMI, as a significant predictor of mortality, with OR ranging from 1.04 to 4.4, or even higher (1,3,4,26,(30)(31)(32), others failed to show statistical significance or even showed negative predictive values (3,5,6,16,33,34).…”

Section: Discussionmentioning

confidence: 99%

“…In addition, several studies in which abdominal adipose tissue had been evaluated using CT scan emphasized the importance of visceral adipose tissue on COVID-19 severity and mortality (10,(20)(21)(22)(23). One of the pathophysiological explanations of this phenomenon lies in the fact that visceral adipose tissue, compared to subcutaneous, secretes 2-3 times higher concentrations of interleukin 6 (35), which is associated with the development of severe forms and fatal outcomes for patients with COVID-19 (1,7). In our cohort, patients with excessive VF had significantly higher serum levels of CRP (p = 0.014) and IL-6 (p = 0.028) on admission compared to those with normal VF levels, possibly suggesting higher inflammation grade.…”

Section: Discussionmentioning

confidence: 99%

“…Although most published studies refer to obesity as one of the independent predictors of disease severity and worse outcome in hospitalized COVID-19 patients (1)(2)(3)(4), the results regarding mortality are still inconsistent. While some metaanalysis authors observed no significant relationship between obesity and COVID-19 mortality (5,6), others emphasize such a relationship exists only in younger patients and those with fewer comorbidities (7,8).…”

Section: Introductionmentioning

confidence: 99%

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The Role of Bioelectrical Impedance Analysis in Predicting COVID-19 Outcome

et al. 2022

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BackgroundPublished data regarding the impact of obesity on COVID-19 outcomes are inconsistent. However, in most studies, body composition was assessed using body mass index (BMI) alone, thus neglecting the presence and distribution of adipose tissue. Therefore, we aimed to investigate the impact of body and visceral fat on COVID-19 outcomes.MethodsObservational, prospective cohort study included 216 consecutive COVID-19 patients hospitalized at University Clinical Center Kragujevac (Serbia) from October to December 2021. Body composition was assessed using the BMI, body fat percentage (%BF), and visceral fat (VF) via bioelectrical impedance analysis (BIA). In addition to anthropometric measurements, variables in the research were socio-demographic and medical history data, as well as admission inflammatory biomarkers. Primary end-points were fatal outcomes and intensive care unit (ICU) admission.ResultsThe overall prevalence of obesity was 39.3% according to BMI and 50.9% according to % BF, while 38.4% of patients had very high VF levels. After adjusting odds ratio values for cofounding variables and obesity-related conditions, all three anthropometric parameters were significant predictors of primary end-points. However, we note that % BF and VF, compared to BMI, were stronger predictors of both mortality (aOR 3.353, aOR 3.05, and aOR 2.387, respectively) and ICU admission [adjusted odds ratio (aOR) 7.141, aOR 3.424, and aOR 3.133, respectively].ConclusionObesity is linked with COVID-19 mortality and ICU admission, with BIA measurements being stronger predictors of outcome compared to BMI use alone.

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Section: Discussionmentioning

confidence: 62%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Role of Bioelectrical Impedance Analysis in Predicting COVID-19 Outcome

et al. 2022

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“…Obesity is a risk factor for many diseases, including diabetes, hypertension, cardiovascular diseases, chronic kidney disease, cancer and general mortality [ 4 , 5 , 6 , 7 , 8 ]. Recent research also shows that obesity is a strong risk factor for unfavorable outcomes of coronavirus infection [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Obesity Prevalence and Associated Socio-Demographic Characteristics and Health Behaviors in Russia and Norway

Холматова

Krettek

Leon

et al. 2022

IJERPH

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Associations between obesity and socio-demographic and behavioral characteristics vary between populations. Exploring such differences should throw light on factors related to obesity. We examined associations between general obesity (GO, defined by body mass index) and abdominal obesity (AO, defined by waist-to-hip ratio) and sex, age, socio-economic characteristics (education, financial situation, marital status), smoking and alcohol consumption in women and men aged 40–69 years from the Know Your Heart study (KYH, Russia, N = 4121, 2015–2018) and the seventh Tromsø Study (Tromsø7, Norway, N = 17,646, 2015–2016). Age-standardized prevalence of GO and AO was higher in KYH compared to Tromsø7 women (36.7 vs. 22.0% and 44.2 vs. 18.4%, respectively) and similar among men (26.0 vs. 25.7% and 74.8 vs. 72.2%, respectively). The positive association of age with GO and AO was stronger in KYH vs. Tromsø7 women and for AO it was stronger in men in Tromsø7 vs. KYH. Associations between GO and socio-economic characteristics were similar in KYH and Tromsø7, except for a stronger association with living with spouse/partner in KYH men. Smoking had a positive association with AO in men in Tromsø7 and in women in both studies. Frequent drinking was negatively associated with GO and AO in Tromsø7 participants and positively associated with GO in KYH men. We found similar obesity prevalence in Russian and Norwegian men but higher obesity prevalence in Russian compared to Norwegian women. Other results suggest that the stronger association of obesity with age in Russian women is the major driver of the higher obesity prevalence among them compared to women in Norway.

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Anorexia nervosa and COVID‐19 infection: Clinical case report

Simeunovic‐Ostojic

Herremans

Thai

et al. 2022

Clinical Case Reports

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The true risk of COVID‐19 infection in anorexia nervosa (AN) including the duration of viral RNA shedding and infectivity is still unclear. We report on a case of a patient with severe AN with a mild course of COVID‐19 and prolonged viral RNA shedding for at least 39 days after symptom onset. A careful evaluation of long‐term infectivity must include viral load, live virus isolation, and viral genome sequencing.

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COVID-19 infection and body weight: A deleterious liaison in a J-curve relationship

Cited by 26 publications

References 140 publications

The Role of Bioelectrical Impedance Analysis in Predicting COVID-19 Outcome

The Role of Bioelectrical Impedance Analysis in Predicting COVID-19 Outcome

Obesity Prevalence and Associated Socio-Demographic Characteristics and Health Behaviors in Russia and Norway

Anorexia nervosa and COVID‐19 infection: Clinical case report

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