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.

Základní údaje

Originální název

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

Autoři

MARANHAO NETO, Geraldo A. (garant), Iuliia PAVLOVSKA (804 Ukrajina, domácí), Anna POLCROVÁ (203 Česká republika, domácí), Jeffrey I. MECHANICK, Maria M. INFANTE-GARCIA, Jose Pantaleón HERNANDEZ, Miguel A. ARAUJO, Ramfis NIETO-MARTINEZ a Juan P. GONZALEZ-RIVAS

Vydání

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

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30304 Public and environmental health

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 4.614

Kód RIV

RIV/00216224:14110/21:00122836

Organizační jednotka

Lékařská fakulta

UT WoS

000815318000001

Klíčová slova anglicky

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

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 13. 6. 2023 17:47, Mgr. Marie Šípková, DiS.

Anotace

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.