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Objective The excess of visceral adipose tissue might hinder and delay immune response. How people with abdominal obesity (AO) will respond to mRNA vaccines against SARS‐CoV‐2 is yet to be established. SARS‐CoV‐2‐specific antibody responses were evaluated after the first and second dose of the BNT162b2 mRNA vaccine, comparing the response of individuals with AO with the response of those without, and discerning between individuals with or without prior infection. Methods Immunoglobulin G (IgG)‐neutralizing antibodies against the Trimeric complex (IgG‐TrimericS) were measured at four time points: at baseline, at day 21 after vaccine dose 1, and at 1 and 3 months after dose 2. Nucleocapsid antibodies were assessed to detect prior SARS‐CoV‐2 infection. Waist circumference was measured to determine AO. Results Between the first and third month after vaccine dose 2, the drop in IgG‐TrimericS levels was more remarkable in individuals with AO compared with those without AO (2.44‐fold [95% CI: 2.22‐2.63] vs. 1.82‐fold [95% CI: 1.69‐1.92], respectively, p < 0.001). Multivariable linear regression confirmed this result after inclusion of assessed confounders (p < 0.001). Conclusions The waning antibody levels in individuals with AO may further support recent recommendations to offer booster vaccines to adults with high‐risk medical conditions, including obesity, and particularly to those with a more prevalent AO phenotype.

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Purpose Chest X-ray (CXR) severity score and BMI-based obesity are predictive risk factors for COVID-19 hospital admission. However, the relationship between abdominal obesity and CXR severity score has not yet been fully explored. Methods This retrospective cohort study analyzed the association of different adiposity indexes, including waist circumference and body mass index (BMI), with CXR severity score in 215 hospitalized patients with COVID-19. Results Patients with abdominal obesity showed significantly higher CXR severity scores and had higher rates of CXR severity scores ≥ 8 compared to those without abdominal obesity ( P < 0.001; P = 0.001, respectively). By contrast, patients with normal weight, with overweight and those with BMI-based obesity showed no significant differences in either CXR severity scores or in the rates of CXR severity scores ≥ 8 ( P = 0.104; P = 0.271, respectively). Waist circumference and waist-to-height ratio (WHtR) correlated more closely with CXR severity scores than BMI ( r = 0.43, P < 0.001; r = 0.41, P < 0.001; r = 0.17, P = 0.012, respectively). The area under the curves (AUCs) for waist circumference and WHtR were significantly higher than that for BMI in identifying a high CXR severity score (≥ 8) (0.68 [0.60–0.75] and 0.67 [0.60–0.74] vs 0.58 [0.51–0.66], P = 0.001). A multivariate analysis indicated abdominal obesity (risk ratio: 1.75, 95% CI: 1.25–2.45, P < 0.001), bronchial asthma (risk ratio: 1.73, 95% CI: 1.07–2.81, P = 0.026) and oxygen saturation at admission (risk ratio: 0.96, 95% CI: 0.94–0.97, P < 0.001) as the only independent factors associated with high CXR severity scores. Conclusion Abdominal obesity phenotype is associated with a high CXR severity score better than BMI-based obesity in hospitalized patients with COVID-19. Therefore, when visiting the patient in a hospital setting, waist circumference should be measured, and patients with abdominal obesity should be monitored closely. Level of evidence Cross-sectional descriptive study, Level V.