In 2020, 25.3% of US adults aged ≥18 years met the 2018 federal physical activity guidelines for both muscle-strengthening and aerobic physical activity.
The percentage meeting both guidelines was highest in adults living in large central metropolitan (28.0%) and large fringe metropolitan areas (27.6%)...
...followed by those living in medium and small metropolitan areas (23.4%) and lowest in those living in nonmetropolitan areas (18.1%).
QuickStats: Age-Adjusted Percentage of Adults Aged ≥18 Years Who Met the 2018 Federal Physical Activity Guidelines for Both Muscle-Strengthening and Aerobic Physical Activity, by Urbanization Level — National Health Interview Survey, United States, 2020 (open access)
Despite the widespread assumption that individuals respond differently to exercise, this meta-analysis provides evidence in favour of no interindividual differences in trainability for cardiorespiratory fitness, waist circumference, and body mass.
- "This was the first IPD meta-analysis to investigate the presence of interindividual differences in trainability and estimate proportions of participants expected to experience meaningful benefit in CRF, waist circumference, and body mass...
- "...Our results revealed four key findings: (1) large between-subject variability in observed change scores in both exercise and control groups;
This systematic review and meta-analysis finds that exercise training, especially aerobic exercise, can improve NT-proBNP concentrations in patients with heart failure, irrespective of overweight/obesity status, even though the size of this effect is probably small.
- Serum levels of BNP and NT-proBNP increase in response to pathophysiological conditions such as acute HF, chronic HF, ventricular hypertrophy, cardiac ischemia, atrial fibrillation, hypertension, hypoxia, diabetes and infection.
- Higher concentrations of BNP and NT-proBNP are associated with a higher risk of morbidity and mortality.
This study aimed to examine the association between dietary habits and overweight/obesity among middle- and old-aged (45 to 74 years old) Chongqing Chinese residents and also to investigate the interactions between lifestyles, dietary habits, and overweight/obesity.
- Compared with daily consumption of fruits, vegetables, and legumes, the consumption frequency of fruit and legumes in zero or 1 day a week was a high-risk factor for overweight/obesity.
Weekly intake of vegetables <10%, 10% <fruits ≤15%, and legumes ≥15% were associated with decreased risk of overweight/obesity.
This systematic review and meta-analysis suggests that carbohydrate ingestion before and during resistance training allows for greater volume to be completed during sessions lasting longer than 45 min and consisting of at least 8–10 sets.
- The current systematic review and meta-analysis sought to determine if and to what degree CHO ingestion influences RT performance.
This one found an inverse relationship between plant-based protein and the risk of metabolic syndrome, as assessed by the siMS score and the siMS risk score, but no associations were observed for animal-based protein, among young and middle-aged females.
- Paradoxically, a positive relationship was also found between light PA and siMS risk score. For every additional minute of light PA per week, siMS risk score increased by 0.005.
"...more time (minutes per week) spent in light PA may imply less time spent in MVPA. This suggests that females who spend less time in light PA, such as through MVPA, could decrease siMS risk score."
This one found that in 2017-2018, only 6.8% of U.S. adults had optimal cardiometabolic health, characterized by healthy levels of weight, blood pressure, glucose, lipids, and clinical CVD.
- Over a 20-year period, cardiometabolic health among U.S. adults significantly worsened, with more people having intermediate and/or poor levels of cardiometabolic components, and fewer having optimal levels.
- Cardiometabolic health among U.S. adults significantly declined between 1999-2000 and 2017-2018, with only 6.8% having optimal cardiometabolic health by 2017-2018, and with significant differences by age, sex, race/ethnicity, and education.