scholarly journals Resting, night-time, and 24 h heart rate as markers of cardiovascular risk in middle-aged and elderly men and women with no apparent heart disease

2013 ◽  
Vol 34 (23) ◽  
pp. 1732-1739 ◽  
Author(s):  
C. D. Johansen ◽  
R. H. Olsen ◽  
L. R. Pedersen ◽  
P. Kumarathurai ◽  
M. R. Mouridsen ◽  
...  
Circulation ◽  
1994 ◽  
Vol 90 (2) ◽  
pp. 779-785 ◽  
Author(s):  
J M Dekker ◽  
E G Schouten ◽  
P Klootwijk ◽  
J Pool ◽  
D Kromhout

2015 ◽  
Vol 10 (3) ◽  
Author(s):  
Mitch Levine

In North America, heart disease is the leading cause of death for both men and women; accounting for approximately 1 in every 4 deaths1,2. Coronary heart disease (CHD) is the most common type of heart disease and two of the key risk factors for CHD are hypertension and diabetes. After smoking cessation programs, the detection and management of hypertension, and of diabetes, may be the next most important interventions that physicians can offer to reduce the risk of cardiovascular morbidity and mortality.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Takuji Kawamura ◽  
Kumpei Tanisawa ◽  
Ryoko Kawakami ◽  
Chiyoko Usui ◽  
Tomoko Ito ◽  
...  

Previous studies have not investigated the determinants of resting oxidative stress, including physical fitness, as it relates to redox regulation. The present study therefore was aimed at identifying lifestyle and biological factors that determine resting oxidative stress, including objectively measured physical fitness. In 873 middle-aged and elderly men and women, age and anthropometric parameters, lifestyle-related parameters, medication and supplementation status, physical fitness, biochemical parameters, and nutritional intake status, as well as three plasma oxidative stress markers: protein carbonyl (PC), F2-isoprostane (F2-IsoP), and thiobarbituric acid reactive substances (TBARS), were surveyed and measured. The determinants of PC, F2-IsoP, and TBARS in all participants were investigated using stepwise multiple regression analysis. In PC, age ( β = − 0.11 , P = 0.002 ), leg extension power ( β = − 0.12 , P = 0.008 ), BMI ( β = 0.12 , P = 0.004 ), and HDL-C ( β = 0.08 , P = 0.040 ) were included in the regression model (adjusted R 2 = 0.018 ). In the F2-IsoP, smoking status ( β = 0.07 , P = 0.060 ), BMI ( β = 0.07 , P = 0.054 ), and HbA1c ( β = − 0.06 , P = 0.089 ) were included in the regression model (adjusted R 2 = 0.006 ). In TBARS, glucose ( β = 0.18 , P < 0.001 ), CRF ( β = 0.16 , P < 0.001 ), age ( β = 0.15 , P < 0.001 ), TG ( β = 0.11 , P = 0.001 ), antioxidant supplementation ( β = 0.10 , P = 0.002 ), and HbA1c ( β = − 0.13 , P = 0.004 ) were included in the regression model (adjusted R 2 = 0.071 ). In conclusion, the present study showed that age, anthropometric index, lifestyle-related parameters, medication and supplementation status, objectively measured physical fitness, biochemical parameters, and nutritional intake status explain less than 10% of oxidative stress at rest.


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