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Cardiorespiratory fitness is a strong predictor of cardiovascular (CV) disease and all-cause mortality, with increases in cardiorespiratory fitness associated with corresponding decreases in CV disease risk. The effects of exercise upon the myocardium and vascular system are dependent upon the frequency, intensity and duration of the exercise itself. Following a prolonged period (≥6 months) of regular intensive exercise in previously untrained individuals, resting and submaximal exercising heart rates are typically 5-20 beats lower, with an increase in stroke volume of ∼20% and enhanced myocardial contractility. Structurally, all four heart chambers increase in volume with mild increases in wall thickness, resulting in greater cardiac mass due to increased myocardial cell size. With this in mind, the present paper aims to review the basic science behind the CV benefits of exercise. Attention will be paid to understanding (1) the relationship between exercise and cardiac remodelling; (2) the cardiac cellular and molecular adaptations in response to exercise, including the examination of molecular mechanisms of physiological cardiac growth and applying these mechanisms to identify new therapeutic targets to prevent or reverse pathological remodelling and heart failure; and (3) vascular adaptations in response to exercise. Finally, this review will briefly examine how to optimise the CV benefits of exercise by considering how much and how intense exercise should be.
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http://dx.doi.org/10.1136/bjsports-2014-306596rep | DOI Listing |
BMC Geriatr
September 2025
Department of Neurobiology, Care Sciences and Society, Division of Nursing, Karolinska Institutet, Stockholm, Sweden.
Background: The benefits of physical activity for frail older acutely hospitalized adults are becoming increasingly clear. To enhance opportunities for physical activity on geriatric wards, it is essential to understand the older adult's perspective.
Aim: The aim of the study was to explore the experiences and perceptions of physical activity among older adults during hospital stays on a geriatric ward.
Geroscience
September 2025
Research Institute of the McGill University Health Centre, 2155 Guy Street, Suite 500, Montreal, QC, H3H 2R9, Canada.
Frailty, often linked to sarcopenia, involves reduced muscle strength and mass. While sarcopenia has multiple causes, impaired muscle protein synthesis may contribute. Leucine and resistance training (RT) are anabolic stimuli, but the long-term effects of leucine combined with RT in pre/frail older women remain unclear.
View Article and Find Full Text PDFSpinal Cord Ser Cases
September 2025
Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Study Design: Concurrent mixed methods case series.
Objectives: To examine the feasibility and effect of a peer-facilitated, remote handcycling sport program on physical, psychological, and social health of individuals with spinal cord injury or disease (SCI/D) aged ≥50 years.
Setting: Participants' homes.
J Aging Phys Act
September 2025
Occupational Therapy Department, Monash University, Frankston, VIC, Australia.
Background/objective: Adherence rates to supervised gym-based exercise programs traditionally decline over time, highlighting the need to understand participants' perceptions regarding barriers and facilitators to long-term participation. To explore the experiences of people with one or more chronic conditions participating in an ongoing, supervised, gym-based exercise program in regional Australia.
Method: Semistructured interviews were completed with 40 participants and were analyzed thematically using a descriptive qualitative approach.
Afr J Prim Health Care Fam Med
August 2025
Anova Health Institute, Johannesburg.
Background: The National Department of Health introduced Differentiated Service Delivery (DSD) models to improve retention in care and decongest healthcare facilities. Anova Health Institute supported the implementation of DSD guidelines in five districts of South Africa.
Aim: The study aimed to describe how the models contained in DSD policies are operationalised.