Leukocyte telomere length is inversely associated with a metabolic risk score in Mesoamerican children

2021 ◽  
Author(s):  
Joshua Garfein ◽  
Kerry S. Flannagan ◽  
Danielle Rittman ◽  
Manuel Ramirez‐Zea ◽  
Eduardo Villamor ◽  
...  
Keyword(s):  
Telomere Length ◽  
Risk Score ◽  
Metabolic Risk ◽  
Leukocyte Telomere Length ◽  
Metabolic Risk Score

Dietary factors associated with metabolic risk score in Finnish children aged 6–8 years: the PANIC study

2013 ◽  
Vol 53 (6) ◽  
pp. 1431-1439 ◽  
Author(s):  
A. M. Eloranta ◽  
V. Lindi ◽  
U. Schwab ◽  
S. Kiiskinen ◽  
T. Venäläinen ◽  
...  
Keyword(s):  
Risk Score ◽  
Dietary Factors ◽  
Metabolic Risk ◽  
Factors Associated ◽  
Metabolic Risk Score

scholarly journals DNA methylation in blood as a mediator of the association of mid-childhood body mass index with cardio-metabolic risk score in early adolescence

Epigenetics ◽  
2018 ◽  
Vol 13 (10-11) ◽  
pp. 1072-1087 ◽  
Author(s):  
Jian V. Huang ◽  
Andres Cardenas ◽  
Elena Colicino ◽  
C. Mary Schooling ◽  
Sheryl L. Rifas-Shiman ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Dna Methylation ◽  
Body Mass ◽  
Risk Score ◽  
Early Adolescence ◽  
Metabolic Risk ◽  
Childhood Body Mass Index ◽  
Metabolic Risk Score

scholarly journals Patterns of body mass index milestones in early life and cardiometabolic risk in early adolescence

2019 ◽  
Vol 48 (1) ◽  
pp. 157-167 ◽  
Author(s):  
Izzuddin M Aris ◽  
Sheryl L Rifas-Shiman ◽  
Ling-Jun Li ◽  
Ken P Kleinman ◽  
Brent A Coull ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Risk Score ◽  
Fat Mass ◽  
Early Adolescence ◽  
Cardiometabolic Risk ◽  
Metabolic Risk ◽  
Fat Mass Index ◽  
Cardiometabolic Profile ◽  
Metabolic Risk Score

Abstract Background Few studies have examined the independent and combined relationships of body mass index (BMI) peak and rebound with adiposity, insulin resistance and metabolic risk later in life. We used data from Project Viva, a well-characterized birth cohort from Boston with repeated measures of BMI, to help fill this gap. Methods Among 1681 children with BMI data from birth to mid childhood, we fitted individual BMI trajectories using mixed-effects models with natural cubic splines and estimated age, and magnitude of BMI, at peak (in infancy) and rebound (in early childhood). We obtained cardiometabolic measures of the children in early adolescence (median 12.9 years) and analysed their associations with the BMI parameters. Results After adjusting for potential confounders, age and magnitude at infancy BMI peak were associated with greater adolescent adiposity, and earlier adiposity rebound was strongly associated with greater adiposity, insulin resistance and metabolic risk score independently of BMI peak. Children with a normal timing of BMI peak plus early rebound had an adverse cardiometabolic profile, characterized by higher fat mass index {β 2.2 kg/m2 [95% confidence interval (CI) 1.6, 2.9]}, trunk fat mass index [1.1 kg/m2 (0.8, 1.5)], insulin resistance [0.2 units (0.04, 0.4)] and metabolic risk score [0.4 units (0.2, 0.5)] compared with children with a normal BMI peak and a normal rebound pattern. Children without a BMI peak (no decline in BMI after the rise in infancy) also had adverse adolescent metabolic profiles. Conclusions Early age at BMI rebound is a strong risk factor for cardiometabolic risk, independent of BMI peak. Children with a normal peak-early rebound pattern, or without any BMI decline following infancy, are at greatest risk of adverse cardiometabolic profile in adolescence. Routine monitoring of BMI may help to identify children who are at greatest risk of developing an adverse cardiometabolic profile in later life and who may be targeted for preventive interventions.

scholarly journals A 3-SNP gene risk score and a metabolic risk score both predict hypertriglyceridemia and cardiovascular disease risk

2019 ◽  
Vol 13 (3) ◽  
pp. 492-501
Author(s):  
Rutger Verbeek ◽  
Federico Oldoni ◽  
R. Preethi Surendran ◽  
Ailko H. Zwinderman ◽  
Kay T. Khaw ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Risk Score ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Metabolic Risk ◽  
Metabolic Risk Score

Cutoff points for continuous metabolic risk score in adolescents from southern Brazil

2019 ◽  
Vol 31 (2) ◽  
pp. e23211 ◽  
Author(s):  
Cézane Priscila Reuter ◽  
Lars Bo Andersen ◽  
Andréia Rosane de Moura Valim ◽  
Éboni Marília Reuter ◽  
Leticia Borfe ◽  
...  
Keyword(s):  
Risk Score ◽  
Metabolic Risk ◽  
Southern Brazil ◽  
Cutoff Points ◽  
Metabolic Risk Score

scholarly journals Associations of Serum Folate and Holotranscobalamin With Cardiometabolic Risk Factors in Rural and Urban Cameroon

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1058-1058
Author(s):  
Camille Mba ◽  
Albert Koulman ◽  
Stephen Sharp ◽  
Nita Forouhi ◽  
Fumiaki Imamura ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Risk Score ◽  
Cardiometabolic Risk ◽  
B Vitamins ◽  
Cardiometabolic Risk Factors ◽  
Serum Folate ◽  
Metabolic Risk ◽  
Inverse Association ◽  
Metabolic Risk Score

Abstract Objectives Previous studies mostly in Western populations suggest that a low exposure to B-vitamins (folate and vitamin B12 in particular) are associated with increased cardiometabolic disease risk. This study aimed to examine the association of blood concentrations of folate and holotranscobalamin (holoTC) with cardiometabolic risk factors in adults in Cameroon. Methods We conducted a cross-sectional population-based study in 497 adults. We measured serum folate and holoTC by liquid chromatography tandem mass spectrometry and “sandwich” ELISA respectively. Total folate was calculated excluding the oxidation product 5-methyltetrahydrofolate. The outcomes were individual cardiometabolic risk factors and a continuous metabolic risk score. We fitted linear regression models to examine the association between B-vitamins and cardiometabolic risk factors and estimated β-coefficients and 95% confidence intervals per standard deviation (SD) difference in each B vitamin variable. Results Mean age was 38.2 (SD: 8.6) years and 63.5% of the participants were women. Mean serum folate was 15.9 (SD: 10.8) nmol/L and holoTC was 74.1 (SD: 33.7) pmol/L. Rural residents had higher concentrations of serum folate but lower holoTC than urban residents. There was a significant inverse association between serum folate and the metabolic risk score (−0.22 (−0.41 to −0.03)) in a multivariable model adjusted for age, sex, education level, smoking, alcohol intake, rural/urban site and BMI. This association was attenuated to the null after further adjustments for objectively measured physical activity (PAEE) and holoTC. HoloTC was positively associated with the metabolic risk score in unadjusted analysis (0.29 (0.08 to 0.51)) but attenuated to the null after adjusting for socio-demographic characteristics. For individual risk factors, an inverse association was observed between serum folate and diastolic blood pressure, which was unaffected by adjustment for confounders including PAEE and holoTC (−1.18 (−2.16 to − 0.20)). Conclusions In Cameroon, serum folate and holoTC were associated with the metabolic risk score in opposite directions, partly depending on potential demographic and socioeconomic characteristics. The inverse association between serum folate and the metabolic risk score was likely driven by the blood pressure component. Funding Sources None.

scholarly journals Predicting the occurrence of cancer-associated colorectal polyp using a metabolic risk score

2013 ◽  
Vol 2 (1) ◽  
pp. 124-128 ◽  
Author(s):  
NUENGRUETAI ORANNAPALAI ◽  
WORAPAT ATTAWETTAYANON ◽  
SAMORNMAS KANNGERN ◽  
TEERANUT BOONPIPATTANAPONG ◽  
SURASAK SANGKHATHAT
Keyword(s):  
Risk Score ◽  
Colorectal Polyp ◽  
Metabolic Risk ◽  
Metabolic Risk Score

Validity of a Continuous Metabolic Risk Score as an Index for Modeling Metabolic Syndrome in Adolescents

2010 ◽  
Vol 20 (11) ◽  
pp. 843-851 ◽  
Author(s):  
Ike S. Okosun ◽  
Rodney Lyn ◽  
Monique Davis-Smith ◽  
Michael Eriksen ◽  
Paul Seale
Keyword(s):  
Metabolic Syndrome ◽  
Risk Score ◽  
Metabolic Risk ◽  
Metabolic Risk Score
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