Effect of body shape on the development of cardiovascular disease in individuals with metabolically healthy obesity

Oh, Chang‐Myung; Park, Jung Hwan; Chung, Haegeun; Yu, Jae Myung; Chung, Wankyo; Kang, Jun Goo; Moon, Shinje

doi:10.1097/md.0000000000022036

Cited by 9 publications

(8 citation statements)

References 43 publications

(52 reference statements)

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“…Despite these facts, not all obese people develop metabolic dysfunction ( 6 ). It has been recognized that some obese individuals have a favorable metabolic profile, including blood pressure, lipid and hormonal profile, insulin sensitivity, and a lower risk of CVDs ( 7 , 8 ).…”

Section: Introductionmentioning

confidence: 99%

“…The prevalence of MHO is controversial; however, based on different criteria and populations, it is estimated to be 6–75% ( 9 , 10 ). This phenotype results from a complex interaction of multiple factors, e.g., genetics, environment, lifestyle, and diet ( 6 , 11 , 12 ). On the contrary, the metabolically unhealthy obesity (MUO) phenotype is connected with at least two or more metabolic disorders and more susceptibility to CVDs ( 13 ).…”

Section: Introductionmentioning

confidence: 99%

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Association of dietary phytochemical index with metabolically unhealthy overweight/obesity phenotype among Iranian women: A cross-sectional study

et al. 2022

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BackgroundPhytochemicals have been recently studied as adjuvants for the treatment of obesity. No study has investigated the association of phytochemical-rich foods with metabolically unhealthy overweight/obesity phenotype (MUOW/O). This study aimed to determine the association of dietary phytochemical index (DPI) with MUOW/O based on Karelis criteria among Iranian female adults.MethodsIn this cross-sectional study, a total of 228 overweight and obese women aged 18–48 years were included. Anthropometric measurements were evaluated for all participants. A validated 147-item Food Frequency Questionnaire (FFQ) was used for dietary assessment. DPI was calculated as [dietary energy derived from phytochemical-rich foods (kcal)/total daily energy intake (kcal)] × 100. Participants’ body composition and biochemical parameters of Karelis criteria [triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), insulin, and high-sensitivity C-reactive protein (hs-CRP)] were determined.ResultsThe mean age of the study participants was 36.69 ± 9.20, and the mean DPI score was 26.23 ± 9.48 among participants with MUOW/O phenotype. After controlling for potential confounders, women in the highest tertile of DPI had lower odds for MUOW/O phenotype [odds ratio (OR): 0.23, 95% confidence interval (CI): 0.07–0.68, P = 0.008] compared to the lowest tertile. Among the components of Karelis criteria, homeostatic model assessment for insulin resistance (HOMA-IR) was significantly associated with MUOW/O phenotype in the fully adjusted model (OR: 0.29, 95% CI: 0.10–0.79, P = 0.01).ConclusionWe found a significant association between DPI and MUOW/O phenotype in Iranian women. Prospective studies are needed to confirm these findings.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Association of dietary phytochemical index with metabolically unhealthy overweight/obesity phenotype among Iranian women: A cross-sectional study

et al. 2022

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“…Obesity relates to fatty liver, hypertension, hypercholesterolemia, hypertriglyceridemia and an increased risk of death from cardiovascular disease. [35][36][37] Figure 3 Ultrasound (US) imaging of liver in healthy persons and overweight as well as class I and II obese patients. Normal liver contrast with white asterisks demarcating normal hepatic parenchyma for comparison at same depth (A).…”

Section: Discussionmentioning

confidence: 99%

Vanin 1 Gene Role in Modulation of iNOS/MCP-1/TGF-β1 Signaling Pathway in Obese Diabetic Patients

Mosaad¹,

Hussein²,

Ateyya³

et al. 2022

JIR

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Introduction Cysteamine, a powerful endogenous antioxidant, is produced mostly by the vanin-1 with pantetheinase activity. With regard to glycemic, inflammatory, and redox factors, the current study sought to evaluate the association between the expression of the vanin-1 gene, oxidative stress, and inflammatory and iNOS signaling pathway in obese diabetic patients. Methods We enrolled 67 male subjects with an average age of 53.5 ± 5.0 years, divided into 4 groups according to the WHO guideline. We determined their plasma levels of glucose, insulin, IRI, HbA1c, TC, TG, HDL-C, TNF- α, MCP-1, TGF-β1, SOD, CAT, and TBARs, as well as expression of the iNOS and Vanin1 genes. Results Overweight and obese class I and II diabetics had significantly higher levels of plasma glucose, insulin, HbA1c, TNF-α, MCP-1, TGF-β1, CAT, and TBAR as well as iNOS and vanin-1 gene expression compared to healthy control individuals. In addition, as compared to healthy control individuals, overweight obese class I and II diabetics’ plasma HDL-C levels and blood SOD activity were significantly lower. In addition, ultrasound and computed tomography showed that the presence of a mild obscuring fatty liver with mild hepatic echogenicity appeared in overweight, class I and II obese diabetic patients. Conclusion These findings provide important information for understanding the correlation between Vanin 1 and glycemic, inflammatory, and redox factors in obese patients. Furthermore, US and CT analysis were performed to visualize the observed images of fatty liver due to obesity.

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“…Obesity is one of the most serious health problems [1] and is a risk factor for many diseases worldwide [2]. The World Health Organization states that >650 million adults have obesity, and its prevalence is increasing annually [3]. Obesity, which can begin in childhood, is associated with all risk factors, such as hypertension, hyperlipidemia, insulin resistance, and diabetes mellitus, which can lead to cardiometabolic diseases in adulthood.…”

Section: Introductionmentioning

confidence: 99%

Body Shape Index and Cardiovascular Risk in Individuals With Obesity

Hacıağaoğlu¹,

Öner²,

Çeti̇n³

et al. 2022

Cureus

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Introduction: Cardio-metabolic risks are tested to show various anthropometric measurements. This study aimed to evaluate a body shape index (ABSI) of individuals with obesity to determine the role of these measurements in cardiovascular risk prediction.Methods: This cross-sectional study included 368 patients who were evaluated by the researcher in the polyclinic. Sociodemographic information was obtained, and anthropometric measurements were made. Body mass index (BMI), waist circumference, and ABSI were evaluated in all patients. The patient's risk of developing cardiovascular disease was calculated from the pooled cohort equations risk calculator (PRCAE), Framingham risk score, and systematic coronary risk evaluation (SCORE) risk calculation systems.Results: Of the 368 patients in the study, 302 (82.1%) were females, and 66 (17.9%) were males. The average age of participants was 46.2 ± 12.0 years. The median BMI of participants was 37.5 (34.0-42.4) kg/m 2 . The median ABSI of participants was 0.0816 (0.0775-0.0849). A positive correlation was found between ABSI and Framingham risk score and PRCAE risk score (r = 0.297, p = 0.000 and r = 0.305, p = 0.000, respectively). A significant relationship was found between ABSI and Framingham, PRCAE, and SCORE risk groups (p = 0.000, p = 0.000, and p = 0.000, respectively).Conclusions: Our study results revealed a significant association of ABSI with Framingham, PRCAE, and SCORE risk calculation systems, which helps predict cardiovascular risk.

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Effect of body shape on the development of cardiovascular disease in individuals with metabolically healthy obesity

Abstract: Supplemental Digital Content is available in the text

Cited by 9 publications

References 43 publications

Association of dietary phytochemical index with metabolically unhealthy overweight/obesity phenotype among Iranian women: A cross-sectional study

Association of dietary phytochemical index with metabolically unhealthy overweight/obesity phenotype among Iranian women: A cross-sectional study

Vanin 1 Gene Role in Modulation of iNOS/MCP-1/TGF-β1 Signaling Pathway in Obese Diabetic Patients

Body Shape Index and Cardiovascular Risk in Individuals With Obesity

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