A comparison of the sensitivity and specificity of anthropometric measurements to predict unhealthy metabolic phenotype in overweight and obese women

Rasaei, Niloufar; Mirzaei, Khadijeh; Arghavani, Hana; Tajik, Somayeh; Keshavarz, Seyed Ali; Yekaninejad, Mir Saeed; Imani, Hossein

doi:10.1016/j.dsx.2018.06.023

Cited by 11 publications

(8 citation statements)

References 45 publications

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“…All phenotypes of obesity are considered to represent a state of disease. Individuals with MHO should not be considered as healthy, but as being in a “pre-metabolic syndrome” state [51] and at risk of future metabolic dysregulation or obesity-related health consequences. The concept of MHO seems most relevant in individuals who have mild, or class I, obesity (defined as BMI of 30 to <35) [17].…”

Section: Discussionmentioning

confidence: 99%

The Relationship between Metabolically Healthy Obesity and the Risk of Cardiovascular Disease: A Systematic Review and Meta-Analysis

Yeh

Chen

Tsai

et al. 2019

JCM

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Cardiovascular disease (CVD) risk in individuals with metabolically healthy obesity (MHO) is unclear. We searched databases from inception to May 2019. Data were pooled using a random effects model. Newcastle-Ottawa Scale assessment was performed. Primary and secondary outcomes were CVD risk and all-cause mortality. Forty-three studies involving 4,822,205 cases were included. The median percentage of females, age and duration of follow-up was 52%, 49.9 years and 10.6 years, respectively. The mean Newcastle-Ottawa Scale score of the articles was 7.9 ± 1.0. Compared to individuals with a metabolically healthy normal weight, individuals with MHO had higher adjusted risk of CVD and all-cause mortality. We identified a significant linear dose-response relationship between body mass index (BMI) and CVD risk among metabolically healthy individuals (p < 0.001); every unit increase in BMI increased the CVD risk. Multivariate meta-regression analysis showed that an increased proportion of women and age resulted in the risk of CVD affected by MHO reduction (p = 0.014, p = 0.030, respectively). Age and sex explained the observed heterogeneity and reported the adjusted R2. MHO resulted in a significantly increased risk for CVD; therefore, long-term weight loss should be encouraged.

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Section: Discussionmentioning

confidence: 99%

The Relationship between Metabolically Healthy Obesity and the Risk of Cardiovascular Disease: A Systematic Review and Meta-Analysis

Yeh

Chen

Tsai

et al. 2019

JCM

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“…Several SNPs have been associated with obesity-related traits in cross-sectional studies [47,49]. One cross-sectional study showed the combined effect of several genetic variants on obesity in Pakistanis and indicated the prediction of anthropometric traits by a GRS for obesity in a sample of Pakistanis [50], and several studies show the positive relationship between obesity indices such as BMI, BF%, BFM, WC, and WHR with cardiometabolic diseases [51][52][53]. The obesity-GRS was also shown to be significantly linked to higher body fat mass among Finnish children and adolescents [54].…”

Section: Discussionmentioning

confidence: 99%

The relationship of genetic risk score with cardiometabolic risk factors: a cross-sectional study

Gholami

Rasaei

Samadi

et al. 2022

BMC Cardiovasc Disord

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Background & aims For more than eight decades, cardiovascular disease (CVD) has remained the leading cause of death in the world. CVD risk factors are multifaceted, with genetics and lifestyle both playing a role. The aim of this study was to investigate the association between a genetic profile risk score for obesity GRS and cardio-metabolic risk factors in overweight and obese women. Methods The current cross-sectional study was conducted on 391 overweight and obese women. The genetic risk score was created by combining three single nucleotide polymorphisms [MC4R (rs17782313), CAV-1 (rs3807992), and Cry-1 (rs2287161)]. Anthropometric measurements, blood pressure, and some blood parameters were measured by standard protocols. Results A significant association between the GRS and some of cardiometabolic risk factors variables such as body mass index (β = 0. 49, 95%CI = 0.22 to 0.76, p < 0.001), waist circumference (β = 0. 86, 95%CI = 0.18 to 1.54, p = 0.01), body fat mass (β = 0. 82, 95%CI = 0.25 to 1.39, p = 0.005), %body fat (β = 0. 44, 95%CI = 0.06 to 0.82, p = 0.02), and hs-CRP (β = 0.46, 95% CI = 0.14 to 0.78, p = 0.005) was observed in crude model. After adjustment for confounding factors (age, BMI, and physical activity), a significant positive association was observed between BMI (p = 0.004), WC (p = 0.02), body fat mass (p = 0.01), %BF (p = 0.01), hs-CRP (p = 0.009), and GRS. In addition, we discovered a significant negative association between the GRS and BMC (= -0.02, 95%CI = -0.05 to -0.001, p = 0.04). But other variables did not show any significant association with GRS among obese and overweight women. Conclusion We found a significant positive association between GRS, including MC4R (rs17782313), CAV-1 (rs3807992), and Cry-1 (rs2287161) and cardiometabolic risk factors among overweight and obese Iranian women.

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“…In the context of studies on metabolic phenotypes and menopause, there is no information on the association between CI, BSI and the MUH profile. However, Rasaei et al [ 39 ], in a study with a sample of women of reproductive age, identified a significant relationship between BSI and the MUH phenotype (area under the curve: 0.60, p < 0.05). Regarding CI, in a study with menopausal women, Gadelha et al [ 40 ] found that this index has a significant correlation with metabolic syndrome (area under the curve: 0.74, p < 0.01).…”

Section: Discussionmentioning

confidence: 99%

Dose–Response Relationship of Resistance Training on Metabolic Phenotypes, Body Composition and Lipid Profile in Menopausal Women

Magalhães

Carvalho

Cruz

et al. 2022

IJERPH

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The relationship between volume training of resistance training (RT), body composition and cardiometabolic profile in menopausal women is poorly understand. This study aimed to evaluate the dose–response relationship of RT on lipid profile, body composition and metabolic phenotypes in menopausal women. A total of 31 women were categorized according to different volume of RT. Body composition was evaluated by DEXA and the cardiometabolic risk by metabolic phenotypes and lipid profile. There was a higher frequency of metabolically unhealthy phenotype in women who practiced RT for less than two years and had a weekly frequency lower than three days a week (p > 0.05). Women with more than two years and a higher weekly frequency of RT had lower trunk fat mass than their counterparties (15.33 ± 7.56 versus 10.57 ± 4.87, p = 0.04; 16.31 ± 7.46 versus 10.98 ± 5.49, p = 0.03, respectively). There was an association between HDL-c and time of RT in years. A moderate correlation was identified between variables of body adiposity, time in years and weekly frequency of RT. The present study concludes that more time in years and weekly frequency of RT practice are associated with lower body adiposity in menopausal women, the first also being associated with HDL-c.

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A comparison of the sensitivity and specificity of anthropometric measurements to predict unhealthy metabolic phenotype in overweight and obese women

Cited by 11 publications

References 45 publications

The Relationship between Metabolically Healthy Obesity and the Risk of Cardiovascular Disease: A Systematic Review and Meta-Analysis

The Relationship between Metabolically Healthy Obesity and the Risk of Cardiovascular Disease: A Systematic Review and Meta-Analysis

The relationship of genetic risk score with cardiometabolic risk factors: a cross-sectional study

Dose–Response Relationship of Resistance Training on Metabolic Phenotypes, Body Composition and Lipid Profile in Menopausal Women

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