The ambulatory hypotensive effect of aerobic training: a reappraisal through a meta-analysis of selected moderators.
Philippe SosnerT GuiraudV GremeauxD ArvisaisD HerpinL BosquetPublished in: Scandinavian journal of medicine & science in sports (2016)
The effectiveness of regular exercise in decreasing both systolic and diastolic blood pressure (BP) is well-established. Our purpose was to assess the impact of both subject and physical activity program characteristics on ambulatory BP through a meta-analysis of the existing literature. Three databases (PubMed, Embase, Web of Science) were searched using relevant terms and strategies. From 637 identified records, 37 studies met inclusion criteria: details about training intervention and participant characteristics, pre- and post-training ambulatory BP measurements, at home (HBPM) or during 24-h (ABPM). The weighted mean difference was for 24-h systolic/diastolic ABPM (n = 847 participants): -4.06/-2.77 mmHg (95%CI: -5.19 to -2.93/-3.58 to -1.97; P < 0.001), for daytime (ABPM or HBPM, n = 983): -3.78/-2.73 mmHg (95%CI: -5.09 to -2.47/-3.57 to -1.89; P < 0.001) and nighttime ABPM periods (n = 796): -2.35/-1.70 mmHg (95%CI: -3.26 to -1.44/-2.45 to -0.95; P < 0.001). Characteristics significantly influencing BP improvement were: an initial office BP ≥130/85 mmHg and diet-induced weight-loss. We found no differences according to sex, age, or training characteristics (intensity, number of sessions, training duration). Antihypertensive effects of aerobic training assessed by ambulatory BP measurements appear significant and clinically relevant for both daytime and nighttime periods, in particular for participants with an office BP ≥130/85 mmHg.
Keyphrases
- blood pressure
- hypertensive patients
- physical activity
- virtual reality
- heart rate
- high intensity
- left ventricular
- weight loss
- randomized controlled trial
- systematic review
- heart failure
- public health
- magnetic resonance imaging
- magnetic resonance
- blood glucose
- obstructive sleep apnea
- sleep quality
- computed tomography
- adipose tissue
- depressive symptoms
- bariatric surgery
- skeletal muscle
- deep learning
- metabolic syndrome
- network analysis
- insulin resistance
- tyrosine kinase
- quality improvement