Abstract

Accumulating evidence suggests that exercise training is associated with improvements in brain health in older adults, yet the extant literature is insufficient in detailing why exercise training facilitates brain structure and function. Specifically, few studies have employed the FITT-VP principle (i.e., Frequency, Intensity, Time, Type, Volume, and Progression) to characterize the exercise exposure, thus research is yet to specify which characteristics of exercise training benefit brain outcomes. To determine whether exercise training is consequential to cognitive and brain outcomes, we conducted a systematic review investigating the effects of exercise training on brain structure and function in older adults. PubMed and Scopus were searched from inception to February 2020, and study quality was assessed using the Cochrane risk-of-bias tool. A total of 24 randomized controlled trials were included. This systematic review indicates that older adults involved in exercise training may derive general benefits to brain health, as reflected by intervention-induced changes in brain structure and function. However, such benefits are dependent upon the dose of the exercise intervention. Importantly, current evidence remains limited for applied exercise prescriptions (e.g., volume, progression) and future research is needed to clarify the effects of exercise training on cognitive and brain outcomes in older adults.

Highlights

  • The worldwide population of older adults is drastically increasing over time [1]

  • The present review provides an overview of the relationship between exercise training and brain structure, only four of the 13 studies assessed progression of exercise training; the present review is unable to discuss the effects of this aspect of the FITT-VP principal on brain structure in an older population

  • The present review strengthens the field by systematically investigating the relationship between exercise training characteristics and brain outcomes

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Summary

Introduction

The worldwide population of older adults is drastically increasing over time [1]. By 2050, the projected number of older adults will rise to more than two billion, reaching 21% of worldwide population [2]. The rapid growth of the aging population has brought attention to prevalent age-related cognitive impairments, which are commonly associated with decreased quality of life and increased financial costs of healthcare [3]. Age-related impairments reflect brain atrophy and decreased brain function in several regions, including the prefrontal and temporal cortices, and the hippocampus [7,8,9]. The healthcare field must identify novel therapeutic strategies to combat the rising rate of age-related cognitive decline

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