#Exercise capacity and #body mass index – important predictors of change in resting #heart rate

Resting heart rate (RHR) is an obtainable, inexpensive, non-invasive test, readily available on any medical document. RHR has been established as a risk factor for cardiovascular morbidity, is related to other cardiovascular risk factors, and may possibly predict them. Change in RHR over time (∆RHR) has been found to be a potential predictor of mortality..… Continue reading #Exercise capacity and #body mass index – important predictors of change in resting #heart rate

Clustering of #lifestyle risk factors for non-communicable diseases in 304,779 #adolescents from 89 countries: A global perspective

The precursors of non-communicable diseases (NCDs) are often manifested during childhood and adolescence with little knowledge about co-occurrence of their related lifestyle risk factors. .. ..Adolescents aged 16–17 years, compared to those aged 11–13 years, had higher odds (OR 1.33; 95% CI 1.31–1.36) of reporting ≥3 risk factors. Risk factors clustered in multiple combinations and… Continue reading Clustering of #lifestyle risk factors for non-communicable diseases in 304,779 #adolescents from 89 countries: A global perspective

Body #mass index, diet, physical inactivity, and the incidence of #dementia in 1 million UK women

..Fifteen years after the baseline survey, only 1% were lost to follow-up, and 89% remained alive with no detected dementia, of whom 18,695 had dementia detected later, at a mean age of 77 (SD 4) years. Dementia detection during years 15+ was associated with baseline obesity (BMI 30+ vs 20–24 kg/m2: RR 1.21, 95% confidence… Continue reading Body #mass index, diet, physical inactivity, and the incidence of #dementia in 1 million UK women

Trends in Self-perceived #Weight Status, Weight Loss Attempts, and Weight Loss Strategies Among Adults in the United States, 1999-2006

..Increasing trends were observed in current measured BMI (difference, 1.20; 95% CI, 0.92-1.47; P for trend < .001), current measured weight (difference 2.77 kg; 95% CI, 1.92-3.61 kg; P for trend < .001), adjusted, self-reported, prior-year weight (difference, 2.36 kg; 95% CI, 1.52-3.21 kg; P for trend < .001), and the difference between measured and adjusted self-reported weight (difference 0.70 kg;… Continue reading Trends in Self-perceived #Weight Status, Weight Loss Attempts, and Weight Loss Strategies Among Adults in the United States, 1999-2006

Physical #activity offsets genetic risk for incident #depression assessed via electronic health records in a biobank cohort study

Polygenic risk was associated with increased odds of incident depression, and physical activity showed a protective effect of similar but opposite magnitude, even after adjusting for BMI, employment status, educational attainment, and prior depression. Higher levels of physical activity were associated with reduced odds of incident depression across all levels of genetic vulnerability, even among… Continue reading Physical #activity offsets genetic risk for incident #depression assessed via electronic health records in a biobank cohort study

Skeletal #muscle mass in relation to 10 year #cardiovascular disease incidence among middle aged and older adults: the ATTICA study

Skeletal muscle mass (SMM) is inversely associated with cardiometabolic health and the ageing process. The aim of the present work was to evaluate the relation between SMM and 10 year cardiovascular disease (CVD) incidence, among CVD-free adults 45+ years old. The 10 year CVD incidence increased significantly across the baseline SMI tertiles (p<0.001). Baseline SMM showed a significant… Continue reading Skeletal #muscle mass in relation to 10 year #cardiovascular disease incidence among middle aged and older adults: the ATTICA study

The Predictive Performance of Objective Measures of #physical Activity Derived From Accelerometry Data for 5-Year All-Cause Mortality in #Older Adults: National Health and Nutritional Examination Survey 2003–2006

Declining physical activity (PA) is a hallmark of aging. Wearable technology provides reliable measures of the frequency, duration, intensity, and timing of PA.. In univariate logistic regression, the total activity count was the best predictor of 5-year mortality (Area under the Curve (AUC) = 0.771) followed by age (AUC = 0.758). Overall, 9 of the… Continue reading The Predictive Performance of Objective Measures of #physical Activity Derived From Accelerometry Data for 5-Year All-Cause Mortality in #Older Adults: National Health and Nutritional Examination Survey 2003–2006

Is #running associated with a lower risk of all-cause, #cardiovascular and cancer #mortality, and is the more the better? A systematic review and meta-analysis

Fourteen studies from six prospective cohorts with a pooled sample of 232 149 participants were included. In total, 25 951 deaths were recorded during 5.5–35 year follow-ups. Our meta-analysis showed that running participation is associated with 27%, 30% and 23% lower risk of all-cause (pooled adjusted hazard ratio (HR)=0.73; 95% confidence interval (CI) 0.68 to 0.79), cardiovascular (HR=0.70;… Continue reading Is #running associated with a lower risk of all-cause, #cardiovascular and cancer #mortality, and is the more the better? A systematic review and meta-analysis

Does chronic high-intensity #endurance training have an effect on cardiovascular markers of active populations and athletes? Systematic review and meta-analysis

There was significant improvement in high-density #lipoprotein with weighted standardised mean difference and effect size=−1.06 (−1.83 to −0.30), p=0.006. We have also observed a significant reduction in low-density lipoprotein and total cholesterol with weighted standardised mean difference and effect size=−0.97 (−1.58 to −0.36), p=0.002, and = −0.78 (−1.34 to −0.22), p=0.007, respectively. There was a… Continue reading Does chronic high-intensity #endurance training have an effect on cardiovascular markers of active populations and athletes? Systematic review and meta-analysis