Risk Factor Profile of Chronic Non-Communicable Diseases in Different Obesity Phenotypes

NURIEVA, ALBINA R.; Синеглазова, А. В.; KIM, TAISIYA YU.; Parve, Swapnil

doi:10.20969/vskm.2021.14(1).41-46

Cited by 2 publications

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“…Data are presented as the median and interquartile range [25-75%]. The median number of pathological combinations in the general cohort was five [IQR: [3][4][5][6][7]. The highest number of pathologies detected for each patient was 13.…”

Section: Resultsmentioning

confidence: 99%

“…The level of visceral fat, as measured by bioimpedance analysis, was associated with the development of NAFLD, chronic pancreatitis, obstructive sleep apnea syndrome, hypertriglyceridemia, lowering HDL cholesterol, and рrediabetes. This aspect is even more relevant because the development of comorbidity is influenced not only by the volume but also by the quality of subcutaneous and visceral fat [ 4 , 5 , 26 ]. In addition, the absence of a significant effect of BMI on the development of certain pathological conditions is consistent with the finding that individuals with normal BMI and AO may have a higher percentage of visceral fat [ 3 ].…”

Section: Discussionmentioning

confidence: 99%

“…Obesity is one of the most potent risk factors for various diseases and is simultaneously a heterogeneous condition [ 2 , 3 ]. Different types of obesity can be distinguished based on body mass index (BMI), waist circumference, and visceral fat level; these conditions may present individually or in combination [ 4 , 5 ]. A variety of comorbidities are associated with the different forms of obesity.…”

Section: Introductionmentioning

confidence: 99%

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Heterogeneous Comorbidity in Individuals With Different Phenotypes of Obesity

NURIEVA¹,

Parve²,

Синеглазова³

2023

Cureus

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Introduction The prevalence of obesity is steadily increasing worldwide. Obesity is one of the most potent risk factors for various diseases and is simultaneously a heterogeneous condition. Different types of obesity could be identified according to body mass index (BMI), waist circumference, and visceral fat level; these conditions may present individually or in combination and pose a risk of developing certain comorbidities. However, the current obesity classification systems do not allow for accurate diagnosis and prediction of the comorbidity risk of patients, which is crucial for their clinical management. This points to the importance of studying obesity phenotyping in the context of body composition. Our study aimed to determine the contribution of obesity phenotypes in forming various comorbidities. Materials and methods This case-control study was conducted at the Clinical and Diagnostic Center of the Aviastroitelny District, Kazan. Patients were selected based on BMI per inclusion and exclusion criteria. A total of 151 patients with a median age of 43 [34.5-50] years were included in the study. The participants were distributed into six groups according to BMI and a combination of abdominal obesity (AO) and excess visceral fat. Results The participants were distributed in the following phenogroups: The first group - normal BMI without AO and excess visceral fat (n=47; 31.1%); the second group - overweight without AO and excess visceral fat (n=26; 17.2%); the third group - normal BMI with AO and without excess visceral fat (n=11; 7.3%); fourth group - overweight with AO and without excess visceral fat (n=34; 22.5%); fifth group - general obesity with AO and without excess visceral fat (n=20; 13.2%); sixth group - general obesity with AO and excess visceral fat (n=13; 8.6%). The five most frequently observed conditions in the general cohort were dyslipidemia (71.5%; n=108), disorders of the gastrointestinal tract (53.0%; n=80), cardiovascular disease (46.4%; n=70), musculoskeletal diseases (40.4%; n=61) and impaired carbohydrate metabolism (25.2%; n=38). The median number of pathological combinations in the general cohort was 5 [IQR: 3-7]. As the group number increased, the median number of comorbidities also increased. While BMI was significantly associated only with arterial hypertension, the level of visceral fat was associated with most comorbidities (obstructive sleep apnea syndrome, non-alcoholic fatty liver disease, chronic pancreatitis, hypertriglyceridemia, and prediabetes), followed by abdominal obesity (gastroesophageal reflux disease, hypertriglyceridemia, arterial hypertension, hypercholesterolemia). Conclusions In working-age people, group 1 and 4 phenotypes were more frequent than others. Abdominal obesity and visceral fat were associated with the most comorbid conditions. However, the individual types of these comorbidities were not the same.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Heterogeneous Comorbidity in Individuals With Different Phenotypes of Obesity

NURIEVA¹,

Parve²,

Синеглазова³

2023

Cureus

View full text Add to dashboard Cite

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“…Among the studied young population, we observed a different profile of cardiometabolic risk factors in individuals with distinct obesity phenotypes [ 16 ]. When comparing groups with normal body weight, individuals with increased BMI and abdominal obesity (group 3), and a group with NAFLD (group 4), no additional changes in the risk factor profile were observed, except for the frequency of hyperinsulinemia and median insulin levels in NAFLD, which is consistent with the idea of the role of NAFLD in the regulation of carbohydrate metabolism [ 17 ].…”

Section: Discussionmentioning

confidence: 99%

Cardiac Structure and Function in Patients With Obesity and Non-alcoholic Fatty Liver Disease

Asatullina,

Sineglazova

2023

Cureus

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Introduction Non-alcoholic fatty liver disease (NAFLD) has emerged as a leading cause of chronic liver disease worldwide. The global prevalence of NAFLD is expected to increase dramatically with the increasing prevalence of obesity and type 2 diabetes mellitus (T2DM). The role of NAFLD as a cardiometabolic risk factor or component of metabolic syndrome on the heart remains unclear. Thus, the independent effect of NAFLD on structural and functional heart parameters warrants validation. Our goal was to study cardiac structure and function in subjects with obesity and NAFLD. Methods A total of 164 patients were examined in this cross-sectional study. Participants were grouped based on BMI and the presence or absence of abdominal obesity (AO) and/or NAFLD. The subjects were divided into four groups: group 1: normal BMI without AO and NAFLD; group 2: BMI ≥ 25 kg/m 2 or AO without NAFLD; group 3: BMI ≥ 25 kg/m 2 and AO without NAFLD; group 4: patients with BMI ≥ 25 kg/m 2 , AO, and NAFLD. We performed a thorough clinical examination, a biochemical blood analysis, and echocardiography. Indices of liver steatosis and fibrosis were calculated. A study of liver assessment of the controlled attenuation parameter (CAP) and liver stiffness measurement (LSM) was conducted. Statistical analysis was performed using IBM SPSS Statistics version 26 (IBM Corp., Armonk, NY). Results The mean age of the participants was 35.0 (31.0-38.5) years. We found a higher frequency of multiple cardiometabolic risk factors in the general cohort. However, on comparing groups 3 and 4, we found a higher frequency of hyperinsulinemia, homeostatic model assessment of insulin resistance (HOMA-IR), and obesity (p < 0.05). To assess the role of NAFLD independent of obesity, we conducted further analyses after adjusting for BMI. Among patients with NAFLD, we observed a similar trend for parameters of carbohydrate metabolism (p < 0.005). In individuals with NAFLD, an increase in left atrial (LA) volume, interventricular septal (IVS) thickness, and left ventricular (LV) myocardial mass, and a decrease in LV ejection fraction and LV stroke volume index were found (p < 0.005). The hepatic steatosis index (HSI) correlated with LA volume, LV end-systolic volume (ESV) and LV end-diastolic volume (EDV), stroke volume, and LV myocardial mass. An association between an increase in CAP score and an increase in the LA volume, stroke volume index, IVS thickness, LV myocardial mass, and the values of LSM with an increase in the LA volume was established. Conclusion The presence of NAFLD without cardiovascular disease and diabetes mellitus revealed an association with the structural and functional parameters of the heart. The results of this study can also be used to improve the effectiveness of a comprehensive assessment of patients and to develop strategies for the primary and secondary prevention of heart failure with...

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Risk Factor Profile of Chronic Non-Communicable Diseases in Different Obesity Phenotypes

Abstract: To study the features of modifiable biological and behavioral risk factors of chronic noncommunicable diseases in individuals with different metabolic phenotypes.

Cited by 2 publications

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Heterogeneous Comorbidity in Individuals With Different Phenotypes of Obesity

Heterogeneous Comorbidity in Individuals With Different Phenotypes of Obesity

Cardiac Structure and Function in Patients With Obesity and Non-alcoholic Fatty Liver Disease

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