Mediation role of cardiorespiratory fitness on the association between fatness and cardiometabolic risk in European adolescents: The HELENA study

Abstract Objectives To analyse the prevalence and association between metabolic syndrome (MetS), clustered cardiometabolic risk (CCMR), obesity (body mass index [BMI], fat mass [FM] and waist circumference [WC]), and cardiorespiratory fitness (CRF); and to assess whether obesity (BMI, FM, and WC) acts as a mediator between CRF and MetS or CCMR. Methods This cross-sectional study included a subsample of the AFINA-te Study (n = 209; 11.51 ± 0.72 years old). BMI, FM, and WC were assessed. The Course-Navette test was used to assess CRF. MetS was calculated following the International Diabetes Federation (IDF) definitions, and assessed using WC, triglycerides (TGs), high density lipoprotein (HD), fasting glucose (FG), and systolic and diastolic blood pressures (SBP/DBP). CCMR was calculated based on the sex and age-specific z score. Results The prevalence of overweightness, obesity, MetS, and CCMR were 17.22, 1.44, 5.74, and 18.36%, respectively. After including BMI, FM, or WC into the model, the association between CRF and MetS was no longer significant, and the association between CRF and CCMR was only significant when it was mediated by BMI (β = −0.006; p = 0.026). The rest of the analysis of the mediation did not show a direct effect, although a significant indirect effect with a significant value for the Sobel test was observed (all p < 0.001). Conclusions BMI, FM, and WC act as full mediators in the association between CRF and MetS; FM and WC act as full mediators in the association between CRF and CCMR; and BMI acts as a partial mediator. The use of FM or WC as obesity variables is recommended.

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Combination of sleep duration, TV time and body mass index is associated with cardiometabolic risk moderated by age in youth

Journal of Pediatric Endocrinology and Metabolism ◽

10.1515/jpem-2020-0399 ◽

2020 ◽

Vol 0 (0) ◽

Author(s):

Ana P. Sehn ◽

Anelise R. Gaya ◽

Caroline Brand ◽

Arieli F. Dias ◽

Roya Kelishadi ◽

...

Keyword(s):

Body Mass Index ◽

Risk Factor ◽

Sleep Duration ◽

Body Mass ◽

Cardiometabolic Risk ◽

High Systolic Blood Pressure ◽

Television Time ◽

The Relationship ◽

Moderating Role

AbstractObjectivesThe combination of sleep duration, television (TV) time and body mass index (BMI) may be related to the alteration of cardiometabolic risk. However, there are few studies that use these variables grouped, and showing the moderating role of age. This study aimed to verify if the combination of sleep duration, TV time and BMI is associated with cardiometabolic risk and the moderating role of age in this relationship in youth.MethodsCross-sectional study conducted with 1411 adolescents (611 male), aged 10–17 years. Sleep duration, TV time and BMI were assessed and grouped into eight categories. Cardiometabolic risk was assessed by a continuous metabolic risk score, including the following variables: low HDL-cholesterol, elevated triglycerides, dysglycemia, high systolic blood pressure, high waist circumference and low cardiorespiratory fitness. Generalized linear models were used to test moderation of age in the relationship between the eight categories of sleep duration/television time/BMI with cardiometabolic risk.ResultsCardiometabolic risk factor showed association with all overweight or obesity independent of sleep time and TV time. Age moderated the relationship between sleep duration/television time/BMI with cardiometabolic risk. This association was stronger in younger adolescents (11 and 13 years), indicating that individuals with inadequate sleep, prolonged TV time and overweight/obesity present higher cardiometabolic risk values when compared to 15-year-old adolescents.ConclusionOverweight/obesity, independently of sleep duration and TV time, is the main risk factor for cardiometabolic disorders in adolescence. When moderated by age, younger adolescents that presented the combination of risk factors had higher cardiometabolic risk.

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The influence of cardiometabolic risk factors on cardiorespiratory fitness in volunteer Chilean firefighters

American Journal of Human Biology ◽

10.1002/ajhb.23280 ◽

2019 ◽

Vol 31 (5) ◽

Author(s):

Fernando Espinoza ◽

Pedro Delgado‐Floody ◽

Cristian Martínez‐Salazar ◽

Daniel Jerez‐Mayorga ◽

Iris Paola Guzmán‐Guzmán ◽

...

Keyword(s):

Risk Factors ◽

Cardiorespiratory Fitness ◽

Cardiometabolic Risk ◽

Cardiometabolic Risk Factors

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Role of Lifestyle and Aging on the Longitudinal Change in Cardiorespiratory Fitness

Archives of Internal Medicine ◽

10.1001/archinternmed.2009.312 ◽

2009 ◽

Vol 169 (19) ◽

Cited By ~ 125

Author(s):

Andrew S. Jackson ◽

Xuemei Sui ◽

James R. Hébert ◽

Timothy S. Church ◽

Steven N. Blair

Keyword(s):

Cardiorespiratory Fitness ◽

Longitudinal Change

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Abstract P115: Cardiorespiratory Fitness Level is Associated with Metabolic Risk in an Asymptomatic Population

Circulation ◽

10.1161/circ.133.suppl_1.p115 ◽

2016 ◽

Vol 133 (suppl_1) ◽

Author(s):

Ebenezer T Oni ◽

Michael J Blaha ◽

Seth S Martin ◽

Arthur S Agatston ◽

Roger S Blumenthal ◽

...

Keyword(s):

Cardiorespiratory Fitness ◽

Cardiometabolic Risk ◽

Activity Level ◽

Metabolic Risk ◽

Metabolic Equivalent ◽

Fitness Level ◽

Fatty Liver Index ◽

Asymptomatic Individuals ◽

Health Screen ◽

Improve Health

Background: Cardiorespiratory fitness (CRF) is a measure of habitual physical activity level of an individual. We evaluate the association between CRF and measures of metabolic risk: Fatty Liver Index (FLI) and Lipid Accumulation Product (LAP). Methods: This study evaluated 3,154 asymptomatic Brazilian subjects (43±10 years, 80% males) who had metabolic equivalent (METS) measured during routine health screen between November 2008 and July 2010. Both FLI and LAP were calculated from standardized algorithms. Results: The prevalence of METS attained were classified into 3; category 1: METS ≤ 12 (44%, n=1,377), category 2 METS >12 & <14 (33%, n=1050) and category 3: METS ≥ 14 (23%, n=727). There was a steady decrease in both median FLI and LAP with higher CRF categories, Figure 1. A logistic regression analysis showed that higher fitness level was associated with lower LAP and FLI levels, see table 1. Conclusions: Higher CRF level is associated with reduced cardiometabolic risk among asymptomatic individuals. This re-emphasis the importance of promoting increasing fitness level to improve health.

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CARDIORESPIRATORY FITNESS AND CARDIOMETABOLIC RISK FACTORS AMONG UNIVERSITY PROFESSORS

Revista Brasileira de Medicina do Esporte ◽

10.1590/1517-869220182402171631 ◽

2018 ◽

Vol 24 (2) ◽

pp. 102-106

Author(s):

Jaqueline de Oliveira Santana ◽

Juliana Vaz de Melo Mambrini ◽

Sérgio Viana Peixoto

Keyword(s):

Risk Factors ◽

Cardiorespiratory Fitness ◽

Cardiometabolic Risk ◽

Strong Association ◽

Protein Body ◽

Hdl Cholesterol ◽

Work Capacity ◽

Cardiometabolic Risk Factors ◽

Level Of Evidence ◽

Cross Sectional

ABSTRACT Introduction: Cardiorespiratory fitness (CF) is associated with mortality and the development of cardiovascular disease, in addition to being related to work capacity. Objectives: This study aimed to verify the demographic, cardiometabolic and behavioral factors associated with CF in a representative sample of professors from a public university in Minas Gerais, Brazil. Methods: This is a cross-sectional study which evaluated, in addition to the CF, age, sex, glycemia, triglycerides, LDL and HDL cholesterol, C-reactive protein, body mass index (BMI), waist circumference, and physical activity (PA). The association between CF and cardiometabolic risk factors was estimated by logistic regression to obtain the odds ratios and respective confidence intervals (95%). Results: After adjustment, it was observed that professors with lower levels of CF were older, female, had higher BMI and a greater chance of being physically inactive. Conclusion: In general, the results show that the probability of low CF increases with the increase in BMI, in addition to the strong association with PA practice, which is a major focus of intervention measures aimed at improving workers health and their work capacity. Level of Evidence III; Case control study.

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