TAG–glucose (TyG) index in childhood: an estimate of cut-off points and the relation to cardiometabolic risk in 4- to 9-year-old children

2020 ◽  
pp. 1-8
Author(s):  
Alice Divina Melo de Brito ◽  
Helen Hermana Miranda Hermsdorff ◽  
Mariana De Santis Filgueiras ◽  
Sarah Aparecida Vieira-Ribeiro ◽  
Sylvia do Carmo Castro Franceschini ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiometabolic Risk ◽  
Characteristic Curve ◽  
Reference Method ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Tyg Index ◽  
Central Fat ◽  
Total Body ◽  
Altered Lipid

Abstract Objective: To propose cut-off points for the TAG–glucose (TyG) index in Brazilian children and evaluate the link to cardiometabolic risk. Design: A cross-sectional study with children from a municipality in Minas Gerais, Brazil. Anthropometric (weight, height, waist circumference and waist:height ratio), biochemical (lipid and glucose profile) and blood pressure (BP) tests were performed. Using the receiver operating characteristic curve, cut-off points for the TyG index were proposed according to sex using homoeostasis model of assessment – insulin resistance (IR) as the reference method. Setting: Viçosa, MG, Brazil. Participants: Children aged 4–9 years (n 515). Results: The TyG index cut-off points to identify the risk of IR were 7·9 and 8·1 for boys and girls, respectively. We observed that 48·7 % of the children had an increased TyG index. The increased TyG index was associated with overweight, total body and central fat, increased BP and altered lipid profile. Children with an increased TyG index had a higher accumulation of cardiometabolic risk factors. Conclusions: According to the cut-off points proposed by the current study, children at risk of IR estimated by the TyG index presented a higher cardiometabolic risk, including isolated risk factors, as to the higher accumulation of these.

scholarly journals Optimal waist:height ratio cut-off point for cardiometabolic risk factors in Turkish adults

2009 ◽  
Vol 13 (4) ◽  
pp. 488-495 ◽  
Author(s):  
Ahmet Selçuk Can ◽  
Emine Akal Yıldız ◽  
Gülhan Samur ◽  
Neslişah Rakıcıoğlu ◽  
Gülden Pekcan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Risk Factor ◽  
Cardiometabolic Risk ◽  
Roc Curves ◽  
Cross Sectional Study ◽  
Cardiometabolic Risk Factors ◽  
Youden Index ◽  
Cross Sectional ◽  
Men And Women

AbstractObjectiveTo identify the optimal waist:height ratio (WHtR) cut-off point that discriminates cardiometabolic risk factors in Turkish adults.DesignCross-sectional study. Hypertension, dyslipidaemia, diabetes, metabolic syndrome score ≥2 (presence of two or more metabolic syndrome components except for waist circumference) and at least one risk factor (diabetes, hypertension or dyslipidaemia) were categorical outcome variables. Receiver-operating characteristic (ROC) curves were prepared by plotting 1 − specificity on the x-axis and sensitivity on the y-axis. The WHtR value that had the highest Youden index was selected as the optimal cut-off point for each cardiometabolic risk factor (Youden index = sensitivity + specificity − 1).SettingTurkey, 2003.SubjectsAdults (1121 women and 571 men) aged 18 years and over were examined.ResultsAnalysis of ROC coordinate tables showed that the optimal cut-off value ranged between 0·55 and 0·60 and was almost equal between men and women. The sensitivities of the identified cut-offs were between 0·63 and 0·81, the specificities were between 0·42 and 0·71 and the accuracies were between 0·65 and 0·73, for men and women. The cut-off point of 0·59 was the most frequently identified value for discrimination of the studied cardiometabolic risk factors. Subjects classified as having WHtR ≥ 0·59 had significantly higher age and sociodemographic multivariable-adjusted odds ratios for cardiometabolic risk factors than subjects with WHtR < 0·59, except for diabetes in men.ConclusionsWe show that the optimal WHtR cut-off point to discriminate cardiometabolic risk factors is 0·59 in Turkish adults.

scholarly journals A population-based cross-sectional study of the association between facial morphology and cardiometabolic risk factors in adolescence

BMJ Open ◽  
2013 ◽  
Vol 3 (5) ◽  
pp. e002910 ◽  
Author(s):  
Jelena Djordjevic ◽  
Debbie A Lawlor ◽  
Alexei I Zhurov ◽  
Arshed M Toma ◽  
Rebecca Playle ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiometabolic Risk ◽  
Population Based ◽  
Cross Sectional Study ◽  
Cardiometabolic Risk Factors ◽  
Facial Morphology ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Sleep and Association With Cardiovascular Risk Among Midwestern US Firefighters

2021 ◽  
Vol 12 ◽  
Author(s):  
Juan Luis Romero Cabrera ◽  
Mercedes Sotos-Prieto ◽  
Antonio García Ríos ◽  
Steven Moffatt ◽  
Costas A. Christophi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Body Fat ◽  
Cardiometabolic Risk ◽  
Cross Sectional Study ◽  
Cardiometabolic Risk Factors ◽  
Short Sleep Duration ◽  
Cross Sectional ◽  
Short Sleep

IntroductionCardiovascular disease is the leading cause of on-duty fatalities among U.S. firefighters. Research has demonstrated that many modifiable risk factors are contributors to the high prevalence of cardiometabolic risk factors. The current study aimed to assess whether sleep is associated with cardiometabolic risk factors among Indianapolis firefighters. The findings could support improving sleep hygiene in this population.Material and MethodsThis cross-sectional study was conducted from the baseline data of eligible firefighters enrolled in “Feeding America’s Bravest”, a Mediterranean diet lifestyle intervention within the Indiana Fire Departments. Participants’ sleep quality was categorized as “good” (≤ 8 points) or “bad” (&gt;8 points) by a sleep quality questionnaire based on some questions from Pittsburgh Sleep Quality Index. In addition, firefighters’ sleep duration was stratified based on the number of hours slept per night (≤6 as “short sleep” or &gt;6 hours as normal). Linear and logistic regression models were used to examine the association of sleep with cardiometabolic risk factors.ResultsA total of 258 firefighters were included. Bad sleepers had higher weight, greater waist circumference, higher body mass index (BMI), and increased body fat (all p&lt;0.01) compared to good sleepers. Similarly, participants with short sleep duration were heavier (p&lt;0.02), had greater BMI (p&lt;0.02) and increased body fat (p&lt;0.04) compared with participants with normal sleep duration. Both bad and short sleepers had a higher prevalence of hypertension and obesity (p &lt;0.05).ConclusionsOur study supports that both sleep quality and quantity are associated with cardiometabolic risk among firefighters.

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