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. 2023 May 19;15(10):2381.
doi: 10.3390/nu15102381.

Gender and Liver Steatosis Discriminate Different Physiological Patterns in Obese Patients Undergoing Bariatric Surgery: Obesity Center Cohort

Rossella Donghia  1 , Rita Schiano Di Cola  2 , Filomena Cesaro  2 , Andrea Vitale  2 , Giuseppe Lippolis  1 , Teresa Lisco  1 , Roberta Isernia  1 , Giovanni De Pergola  1 , Sara De Nucci  1 , Roberta Rinaldi  1 , Marina Liso  1 , Cristiano Giardiello  1   2
Affiliations

Gender and Liver Steatosis Discriminate Different Physiological Patterns in Obese Patients Undergoing Bariatric Surgery: Obesity Center Cohort

Rossella Donghia et al. Nutrients. .

Abstract

Background: Obesity is a major public health problem worldwide. Bariatric surgery can reduce body weight, and it is one of the better ways to improve metabolic disease and lifestyle. The aim of this study was to explore a new cohort of patients with obesity and evaluate the gender differences and the steatosis status within the gender group.

Methods: A cohort of 250 adult obese patients with BMI ≥ 30 and age >18 years, eligible for gastric bariatric surgery at Pineta Grande Hospital, Castel Volturno (Italy) was studied.

Results: The prevalence in women was higher (72.40%) than men (27.60%). Overall, results indicated many statistically significant gender differences in hematological and clinical parameters. Analysis of the subcohorts based on the severity of steatosis revealed differences of this condition between the genders. Steatosis was more prevalent in the male subcohort, but female patients revealed greater within-group differences.

Conclusions: Many differences were found not only in the total cohort but also between the gender subcohorts, both in the presence and absence of steatosis. We can conclude that the pathophysiological, genetic, and hormonal patterns affecting these patients delineate different individual profiles.

Keywords: bariatric surgery; gender; obesity; steatosis.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Distribution of liver steatosis (No/Mild vs. Moderate/Severe) in total cohort and gender, stratified by age (A,B), marital status (C,D), and working activity (E,F).
Figure 2
Figure 2
Scree plot of the PCA parameters. First, two components were selected (A); the contribution of variables of Component 1 (B), and Component 2 (D). Biplot of PCA on the data showing the projection of the data set on the PC1 × PC2 plane (C). Male patients.
Figure 3
Figure 3
Scree plot of the PCA parameters. First, two components were selected (A); the contribution of variables of Component 1 (B), and Component 2 (D). Biplot of PCA on the data showing projection of the data set on the PC1 × PC2 plane (C). Female patients.
Figure 4
Figure 4
Biplot of PCA by steatosis in total (A), male (B), and female (C) cohort.
See this image and copyright information in PMC

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