J 2021

Prediction of Cardiorespiratory Fitness in Czech Adults: Normative Values and Association with Cardiometabolic Health

MARANHAO NETO, Geraldo A., Iuliia PAVLOVSKA, Anna POLCROVÁ, Jeffrey I. MECHANICK, Maria M. INFANTE-GARCIA et. al.

Basic information

Original name

Prediction of Cardiorespiratory Fitness in Czech Adults: Normative Values and Association with Cardiometabolic Health

Authors

MARANHAO NETO, Geraldo A. (guarantor), Iuliia PAVLOVSKA (804 Ukraine, belonging to the institution), Anna POLCROVÁ (203 Czech Republic, belonging to the institution), Jeffrey I. MECHANICK, Maria M. INFANTE-GARCIA, Jose Pantaleón HERNANDEZ, Miguel A. ARAUJO, Ramfis NIETO-MARTINEZ and Juan P. GONZALEZ-RIVAS

Edition

International Journal of Environmental Research and Public Health, Basel, MDPI, 2021, 1660-4601

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30304 Public and environmental health

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 4.614

RIV identification code

RIV/00216224:14110/21:00122836

Organization unit

Faculty of Medicine

DOI

UT WoS

000815318000001

Keywords in English

cardiorespiratory fitness; cardiometabolic risk factors; population health; adult; middle aged

Tags

Tags

International impact, Reviewed
Změněno: 13/6/2023 17:47, Mgr. Marie Šípková, DiS.

Abstract

V originále

Cardiorespiratory fitness (CRF) is a strong independent predictor of morbidity and mortality. However, there is no recent information about the impact of CRF on cardiometabolic risk specifically in Central and Eastern Europe, which are characterized by different biological and social determinants of health. In this cross-sectional study normative CRF values were proposed and the association between CRF and cardiometabolic outcomes was evaluated in an adult Czechian population. In 2054 participants (54.6% females), median age 48 (IQR 19 years), the CRF was predicted from a non-exercise equation. Multivariable-adjusted logistic regressions were carried out to determine the associations. Higher CRF quartiles were associated with lower prevalence of hypertension, type 2 diabetes (T2D) and dyslipidemia. Comparing subjects within the lowest CRF, we see that those within the highest CRF had decreased chances of hypertension (odds ratio (OR) = 0.36; 95% CI: 0.22–0.60); T2D (OR = 0.16; 0.05–0.47), low HDL-c (OR = 0.32; 0.17–0.60), high low-density lipoprotein (OR = 0.33; 0.21–0.53), high triglycerides (OR = 0.13; 0.07–0.81), and high cholesterol (OR = 0.44; 0.29–0.69). There was an inverse association between CRF and cardiometabolic outcomes, supporting the adoption of a non-exercise method to estimate CRF of the Czech population. Therefore, more accurate cardiometabolic studies can be performed incorporating the valuable CRF metric.