scholarly journals Guanidinoacetic Acid and Creatine are Associated with Cardiometabolic Risk Factors in Healthy Men and Women: A Cross-Sectional Study

Nutrients ◽  
2018 ◽  
Vol 10 (1) ◽  
pp. 87 ◽  
Author(s):  
Sergej Ostojic ◽  
Milan Vranes ◽  
Davor Loncar ◽  
Natasa Zenic ◽  
Damir Sekulic
Keyword(s):  
Risk Factors ◽  
Cardiometabolic Risk ◽  
Cross Sectional Study ◽  
Cardiometabolic Risk Factors ◽  
Sectional Study ◽  
Cross Sectional ◽  
Men And Women ◽  
Healthy Men ◽  
Guanidinoacetic Acid

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 Prevalence of physical inactivity and associated cardiometabolic risk factors: A cross-sectional study

2020 ◽  
Vol 128 (3) ◽  
pp. 381-392
Author(s):  
Juan Salazar ◽  
Wheeler Torres ◽  
Luis Olivar ◽  
Valeria Gallo ◽  
Eliana Luzardo ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Physical Inactivity ◽  
Cardiometabolic Risk ◽  
Cross Sectional Study ◽  
Cardiometabolic Risk Factors ◽  
Sectional Study ◽  
Cross Sectional

Introducción: La inactividad física es un problema de salud pública asociado a enfermedades crónicas no transmisibles. Determinar la prevalencia general y por esferas de inactividad física, y su asociación con factores cardiometabólicos. Métodos: Estudio transversal que incluyó 2 230 individuos adultos de ambos sexos de la ciudad de Maracaibo. Para la evaluación de la actividad física se aplicó la versión larga del Cuestionario internacional de actividad física, definiéndose la inactividad física como <600 MET-minutos/semana, se realizó un análisis de regresión logística multivariante para cada dominio. Resultados: La mayor prevalencia de inactividad física fue en la esfera de transporte (80,3 %), seguida de la esfera de trabajo (79,9 %), ocio (76,8 %) y hogar (47,9 %). En las 3 primeras esferas la inactividad física fue más frecuente en mujeres y la mayoría de sujetos fueron inactivos en 3 o 4 esferas simultáneamente. Las variables asociadas con inactividad física en ocio fueron el sexo femenino, edad >30 años, grupo étnico arábigo-asiático y estatus de exfumador; en la esfera transporte fueron el sexo femenino, sobrepeso y obesidad; en la esfera trabajo fueron el sexo femenino, edad ≥50 años, estatus educativo de secundaria, condición laboral de empleado y diabetes mellitus tipo 2; en la esfera hogar fueron el sexo masculino, estrato socioeconómico II-IV y la condición laboral de empleado. Conclusión: Existe una alta prevalencia de inactividad física en los habitantes de la ciudad de Maracaibo, por lo que es necesaria la promoción del ejercicio.

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