Biological Sex: A Potential Moderator of Physical Activity Efficacy on Brain Health
- 1Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada
- 2Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
- 3Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
The number of older people worldwide living with cognitive impairment and neurodegenerative diseases is growing at an unprecedented rate. Despite accumulating evidence that engaging in physical activity is a promising primary behavioral strategy to delay or avert the deleterious effects of aging on brain health, a large degree of variation exists in study findings. Thus, before physical activity and exercise can be prescribed as “medicine” for promoting brain health, it is imperative to understand how different biological factors can attenuate or amplify the effects of physical activity on cognition at the individual level. In this review article, we briefly discuss the current state of the literature, examining the relationship between physical activity and brain health in older adults and we present the argument that biological sex is a potent moderator of this relationship. Additionally, we highlight some of the potential neurobiological mechanisms underlying this sex difference for this relatively new and rapidly expanding line of research.
The worldwide population is aging at an unprecedented rate, with the proportion of people aged over 60 years projected to increase from 12% in 2015 to 22% in 2050, resulting in over 2 billion people aged 60 and over (WHO, 2018). Normative aging is characterized by multifaceted changes in cognitive function and brain structure. In particular, the domains of memory and executive functions show declines in performance, which is further reflected in atrophy in the brain regions that subserve these cognitive domains, namely the hippocampus and the prefrontal cortex (PFC; Salthouse, 2011). In non-normative cognitive aging, decline is much more dramatic and is associated with increased dementia risk.
Dementia is one of the major causes of disability in older adults (ASC, 2010). Worldwide, over 47 million people have dementia and current projections estimate that this number will reach 74.7 million by the 2030 and 131.5 million by 2050 (Prince et al., 2015). Within this context, these demographic changes in the population will lead to increasing challenges for healthcare systems. Therefore, identifying strategies that bolster healthy cognitive aging is of upmost importance globally.
As there is no effective pharmaceutical treatment currently available for cognitive impairment and dementia, there is great interest in the utility of lifestyle approaches. Physical activity (PA) is a promising primary behavioral non-pharmacological strategy to delay or avert the deleterious effects of aging on brain health (Phillips, 2017; Petersen et al., 2018). However, before PA can be prescribed as “medicine” for promoting brain health in the diseased and non-diseased brain, it is imperative to understand how different biological factors can attenuate or amplify the effects of PA on cognition at the individual level.
One such endogenous factor that appears to moderate PA efficacy is biological sex (Barha et al., 2017a,c; Loprinzi and Frith, 2018). The need to assess potential sex differences in this context is further highlighted by the greater prevalence of mild cognitive impairment (MCI) in males (Petersen et al., 2010), but faster rates of progression from MCI to Alzheimer’s disease (AD) in females (Li et al., 2016; Podcasy and Epperson, 2016). Here, we briefly review the current evidence that PA and exercise promote cognitive health in older adults with and without cognitive impairment. We present supporting evidence that biological sex is an important moderator of the relationship between PA and cognition and highlight some of the potential underlying mechanisms for this relatively new and rapidly expanding line of inquiry. We have limited our review mainly to studies in humans. We refer readers to several excellent review articles of exercise studies conducted in rodents (Cotman et al., 2007; Voss et al., 2013; Patten et al., 2015; Triviño-Paredes et al., 2016; Barha et al., 2017b; Cooper et al., 2018).
The Hippocampus and Prefrontal Cortex: Brain Structures Implicated in Brain Aging
The process of aging is accompanied by declines in memory and executive functions which is further reflected in atrophy in the brain regions that subserve these cognitive domains, namely the hippocampus and the PFC (Salthouse, 2011). Episodic memory, memory for events that occur in a specific place and time, shows age-associated decline (Rönnlund et al., 2005) and relies on the integrity of the hippocampus, a medial temporal lobe brain structure. Executive functions refer to the higher-level mental processes required to control, plan and coordinate other cognitive abilities and behaviors (Espy, 2004); typically executive functions are divided into three general abilities, inhibition, working memory, and cognitive flexibility (Diamond, 2013), and rely on the PFC. Gray matter volume declines with increasing age are most prominent in the PFC, with more moderate declines in the hippocampus (Terry and Katzman, 2001; Raz et al., 2004). Interestingly, 82.5% of the longitudinal age-associated reduction in the executive function of inhibition was explained by changes in structural and functional connectivity (Fjell et al., 2017). Sex differences in the rate of regional volume loss, including the frontal lobe and hippocampus, in older adults have been found, with females faring better (Armstrong et al., 2019), though not all studies find this (Raz et al., 2010; Persson et al., 2016).
Physical Activity and Brain Health
PA, any bodily movement produced by skeletal muscles, can be categorized into occupational, sports, conditioning, household, or other types of activities requiring energy expenditure (Caspersen et al., 1985). Exercise is a subtype of PA that must be planned, structured and be repetitive with the goal of improving or maintaining physical fitness (Caspersen et al., 1985). Generally, there are two main types of exercise: (1) aerobic training (AT; e.g., walking, running) which aims to improve cardiovascular fitness; and (2) resistance training (RT; e.g., weightlifting) which aims to improve muscle mass and strength. The vast majority of the literature has focused on the effects of AT on cognitive health in older adults, although in more recent years the efficacy of RT has been shown (for examples see Cassilhas et al., 2007; Liu-Ambrose et al., 2010, 2012; Nagamatsu et al., 2012; Best et al., 2015; Bolandzadeh et al., 2015). Evidence from epidemiological and randomized controlled trials (RCTs) supports the notion that engaging in PA and exercise are promising strategies for dementia prevention and disease modification. In a meta-analysis, Northey et al. (2018) found that to maximize the effectiveness to improve cognition in older adults, exercise bouts should be 45–60 min in duration and at least done at a moderate intensity.
Prospective, epidemiological studies historically observe the association between the amount of PA engaged in and changes in cognitive performance or dementia risk. Overall, the evidence from these studies supports the relationship between higher levels of PA and better cognitive outcomes, reduced dementia risk, and longevity. A meta-analysis of 21 cohort studies found that in older, community-dwelling individuals, higher levels of PA were associated with a 35% reduction in the risk for cognitive decline compared to lower levels of PA (Blondell et al., 2014). These findings built upon an earlier meta-analysis of 15 prospective studies among participants without dementia that found higher levels of PA were associated with a 38% lower risk of cognitive decline, and low to moderate levels of PA were associated with a 35% reduction (Sofi et al., 2011). Higher levels of PA are also associated with a reduction in risk for dementia (~14%) as seen in a meta-analysis of 26 cohort studies (Blondell et al., 2014). The protective effects of high levels of PA may be more pronounced for those with AD compared to all-cause dementia and vascular dementia (Guure et al., 2017). Importantly, using data from the Netherlands Cohort Study, a higher total daily non-occupational PA was associated with greater odds of surviving to 90 years of age in men, and in women engaging in 60 min/day of non-occupational PA was associated with the greatest odds of surviving (Brandts and van den Brandt, 2019). Additionally, greater functional fitness is associated with better general cognition; however, the specific aspects of functional fitness that correlate with cognition differ between males and females (Guo et al., 2018).
Some epidemiological studies have also employed neuroimaging techniques to better understand the neural correlates underlying the relationship between PA and cognitive function in older age. For example, in adults 65 years and older at baseline, greater amounts of PA quantified as the number of blocks walked in 1 week at baseline, predicted greater gray matter volumes of the prefrontal, occipital, entorhinal, and hippocampal regions 9 years later, and this greater volume was related to a two-fold reduction in the risk for cognitive impairment at year 13 (Erickson et al., 2010). Further, engaging in PA in midlife was associated with larger total brain volume and gray matter volume of the frontal cortex 21 years later (Rovio et al., 2010). Importantly, better maintenance of PA levels over 10 years in older age is associated with less reductions in hippocampal volume, smaller increases in global gray matter mean diffusivity and white matter axial diffusivity, and maintenance of global cognitive function, independent of baseline levels of PA, demographics, and APOE4 status (Best et al., 2017). In individuals at risk for AD who experience greater rates of brain atrophy, engaging in PA levels that meet or exceed the current PA recommendations is associated with greater volumes of the inferior and anterior temporal lobes compared to those not meeting the PA recommendations (Dougherty et al., 2016). Thus, the association between how much PA is engaged in, and maintenance of cognition in older age appears related to sparing of gray matter volume of brain regions susceptible to age-related atrophy, including the frontal and prefrontal lobes and the hippocampus (Gordon et al., 2008).
Although prospective cohort studies typically include large samples of individuals, causality cannot be established and the potential for unmeasured confounding variables is often present. Thus, stronger evidence for the importance of PA and exercise in brain health has come from RCTs. The vast majority of RCTs of exercise have focused on AT, which we will focus on in this review. However it is worth noting that RT has been shown to significantly improve cognition and brain function (for a recent review see Landrigan et al., 2019). Several meta-analyses of RCTs in older adults suggest that cognitive processes that are highly susceptible to age-related declines are amendable to AT benefits (Heyn et al., 2004; Etnier et al., 2006; Barha et al., 2017a; Northey et al., 2018), particularly the domain of executive functions (Colcombe and Kramer, 2003), an umbrella term for a suite of higher order cognitive processes required for goal-directed behavior. A seminal study in the field of exercise neuroscience conducted by Kramer et al. (1999) found that older adults randomized to a 6 month AT intervention (i.e., brisk walking) showed significant improvements in executive functions compared to participants randomized to a stretching and toning control group. In a follow-up study, the AT group showed increased gray and white matter volumes in the temporal and prefrontal regions of the brain compared to the control group (Colcombe et al., 2006). In addition to improvements in executive functions, a 12-month RCT found that AT increased hippocampal volume by 2%, coinciding with improvements in spatial memory performance compared to the stretching and toning control group that showed a 1.4% decline in volume (Erickson et al., 2011), which is comparable to the 1–2% annual hippocampal shrinkage typically seen in older adults (Raz et al., 2005). More recently, several meta-analyses of RCTs have provided further support for the protective effects of AT on cognition in older adults (Colcombe and Kramer, 2003; Heyn et al., 2004; Etnier et al., 2006; Barha et al., 2017a; Northey et al., 2018). Notably, AT benefits for cognition are seen in cognitively healthy older adults as well as across different clinical populations, including MCI, vascular dementia, and AD (Lautenschlager et al., 2008; Baker et al., 2010; Erickson et al., 2011; Nagamatsu et al., 2013; Liu-Ambrose et al., 2016; Morris et al., 2017). RCTs with neuroimaging outcomes indicate that AT interventions also lead to enhanced functional brain plasticity as indexed by changes in brain structure, activation, and connectivity variables (Voss et al., 2010; Erickson et al., 2011; Nishiguchi et al., 2015; ten Brinke et al., 2015; Gajewski and Falkenstein, 2016; Hsu et al., 2017, 2018). Specifically for gray matter changes, RCTs of AT consistently show increases in the volume of the hippocampus (Colcombe et al., 2006; Erickson et al., 2011; Niemann et al., 2014; Maass et al., 2015; Kleemeyer et al., 2016; Rosano et al., 2017), which subserves memory, and the PFC (Colcombe et al., 2006; Erickson et al., 2010; Ruscheweyh et al., 2011; Tamura et al., 2015; Jonasson et al., 2017), which subserves executive functions.
Despite the large body of evidence supporting the therapeutic potential of AT, variation exists in the ability of exercise to prevent and alleviate declines in cognition and brain health. Some meta-analyses of RCTs do not conclude that AT exerts a significant positive effect on cognition in older adults (Smith et al., 2010; Gates et al., 2013; Kelly et al., 2014; Öhman et al., 2014; Young et al., 2015). Notably, one of the largest RCTs of exercise conducted to date, did not find a significant effect of 24-months of exercise on cognitive performance in 1,635 older adults compared to a health education program (Sink et al., 2015). More recently, Lamb et al. (2018) found that a 4 month program consisting of supervised moderate to high intensity AT and RT in combination with unsupervised home-based exercises was associated with slight declines in global cognition several months after the supervised training ended in older adults with moderate dementia. Thus, to better understand the variation seen in study outcomes, it is imperative to identify biological moderators that either attenuate or amplify the effects of exercise on brain health. This knowledge will allow for more efficient and targeted deployment of current PA interventions and potentially spur development of alternative strategies. We argue here that biological sex is a key moderator of aerobic exercise efficacy, such that females show greater cognitive benefits than males.
Sex Differences, Physical Activity and Brain Health
Sex differences exist in the magnitude of beneficial effects seen in cognitive function from engaging in aerobic exercise (see Table 1). Meta-analytical evidence from Colcombe and Kramer (2003) first suggested that older females showed greater cognitive gains from AT than older males. Our recent meta-analysis of RCTs conducted with cognitively healthy older adults confirmed this, as AT was associated with larger effect sizes in studies that included a higher percentage of female participants compared to studies with a lower percentage of female participants for the cognitive domain of executive functions (Barha et al., 2017a). Sex differences were not seen for other domains, including episodic memory and visuospatial function. Interestingly, AT enhanced word fluency to a greater extent in studies with a lower percentage of female participants. Thus, for tasks associated with verbal learning and memory, AT may be more advantageous for males than females. Moreover, our meta-analysis of studies in middle-aged and aged rodents found a female-advantage in gains for hippocampus-dependent spatial learning and memory in studies that utilized forced AT paradigms (Barha et al., 2017b). Unfortunately, we could not examine potential sex differences in AT efficacy for executive functions as there was a lack of such studies conducted with rodents. Regardless, altogether, the meta-analytic evidence available thus far indirectly supports the notion that biological sex is an important moderator of the relationship between AT and cognition in older age.
Table 1. Evidence for sex differences in the effect of physical activity on cognition and the brain in older humans.
To date, a small number of human studies have attempted to directly compare males and females to determine whether AT effects on cognition are sex-dependent. In a study sample of 29 older adults (15 women) with MCI, Baker et al. (2010) showed that 6-months of high intensity AT increased performance on four of five tests of cognition in females and only on one test in males compared to the controls. Further, in a 12-month study of moderate intensity AT, sex stratified analyses indicated that increased adherence to the AT program was associated with improved attention and memory in older females with MCI but only with memory in older males (van Uffelen et al., 2008). More recently, we provided further support for a female advantage in AT-induced gains in executive functions with a secondary analysis of a 6-month RCT in participants with mild subcortical ischemic vascular cognitive impairment (Barha et al., 2017d). The progressive, moderate intensity AT program improved the executive function of set-shifting by 36% in females compared to the controls, whereas in males AT reduced performance by 31% compared to the controls. Interestingly, the beneficial effect of AT was retained 6 months after trial completion. Epidemiological evidence for this sex difference in AT efficacy was recently provided in our study that examined whether longitudinal changes in PA over 10 years predicted changes in global cognition, executive functions and processing speed differently in males and females using data from the Health, Aging, and Body Composition Study (HABC; Barha et al., 2019). Participants were 2,873 community-dwelling older adults aged 70–79 years at year 1 and PA was assessed annually from years 1–10 through self-reported time spent walking. Independent of demographics and disease-related variables, initial time spent walking and maintenance of PA over the 10 years predicted less declines in executive functions and processing speed as assessed by the Digit Symbol Substitution Test (DSST) in females but not males. Maintenance of PA over time predicted better global cognitive function on the Modified Mini-Mental Status Examination (3MS) in both males and females. Thus, accumulating evidence from intervention and epidemiological studies suggest that engaging in targeted exercise training of sufficient duration and intensity, as well as how PA levels change over time, protect different domains of cognition in females compared to males.
Investigations into the neural underpinnings of AT-induced enhancements have also shown potential sex differences. Varma et al. (2015) showed that greater amount, duration, and frequency of objectively measured daily walking over the span of 3–7 days were associated with larger hippocampal volume among older females but not males. In a follow-up study that explored hippocampal sub-regions, increased daily walking in females only was associated specifically with a larger subiculum which is part of the posterior hippocampus (Varma et al., 2016). We have recently expanded upon these findings showing that subjective assessment of time spent walking in year 1 of a 10 year study was associated with a larger left hippocampus in older males and a smaller hippocampus in older females (Barha et al., 2019). This discrepancy in the direction of the relationship between PA and hippocampal volume in females between studies may be related to differences in how walking behaviors were measured (i.e., objective vs. subjective) and the duration of measurement (i.e., 7 days vs. 10 years). Additionally, it may be the case that connectivity of the hippocampus to other brain regions may be a better indicator of functional performance than mere hippocampal volume (Burdette et al., 2010). Indeed, there is some evidence in the literature to support this as an AT intervention-induced increase in hippocampal volume in older females was associated with lower performance on an episodic memory task (ten Brinke et al., 2015). Thus, in addition to volumetric imaging, future studies should use multimodal techniques to delve further into this intriguing sex difference to focus on changes in functional connectivity of the hippocampus and its relationship to cognition and exercise.
In addition to the hippocampus, we have recently shown that greater maintenance of PA over 10 years is associated with a greater volume of the left dorsolateral PFC (DL-PFC) among older females, but not males (Barha et al., 2019). The DL-PFC subserves executive functions (Wagner et al., 2001), one of the domains in which PA improves performance in females (Baker et al., 2010; Barha et al., 2017d), and shows extensive volume loss in older age (Jernigan et al., 2001). Previous work also shows that AT is associated with a larger volume of this brain region (Erickson et al., 2010; Best et al., 2017) and the volume mediates the relationship between cardiovascular fitness level and performance on executive functioning tasks (Weinstein et al., 2012), though, vitally, sex differences were not assessed in these studies.
Notwithstanding the lack of understanding in the effects of PA on sex differences associated with the functional architecture of the brain, evidence suggests the presence of sex differences in the patterns of neural network coupling. For instance, compared to men, women seemed to exhibit stronger connectivity between amygdala and middle temporal gyrus, inferior frontal gyrus, postcentral gyrus and hippocampus (Kogler et al., 2016). Moreover, one cross-sectional study investigated whether difference in sex and hormonal fluctuations across menstrual cycle would impact functional connectivity patterns of the frontoparietal network (Hjelmervik et al., 2014). From examining 16 healthy younger women and 15 younger men, the study showed women typically displayed higher frontoparietal connectivity compared to men, irrespective of the influences exerted by fluctuating sex hormones through various phases in the menstrual cycle. Aligning with this finding, the UK Biobank study reported that across 2,750 female and 2,466 male participants between the age of 44–77 years, a significantly stronger connectivity in the default mode network was observed in females compared to males (Ritchie et al., 2018), for which the same findings were reported in a separate, multi-site community-based study conducted previously with 1,093 participants between 18–60 years old (Biswal et al., 2010). In 559 cognitively healthy adults 70 years and older, Jamadar et al. (2019) confirmed the finding of greater connectivity within the default mode network in females and further showed greater connectivity within the salience network in males, two important resting-state networks that consistently show age-associated connectivity declines (Geerligs et al., 2015). Further, examining time-varying properties of connectivity patterns, de Lacy et al. (2019) demonstrated that dynamic connectivity of neural networks is significantly different between males and females, which complements observations made by classic methods of quantifying functional connectivity. These results, in conjunction, offer insights into sex differences in the functional organization of the brain such that women may be more proficient in social, self-referential and memory processes, in line with conclusions derived from brain structural connectomics (Ingalhalikar et al., 2014).
Potential Mechanisms Underlying the Sex Difference
The mechanisms underlying the sex difference in the relationship between PA and cognitive and brain health have only recently been speculated upon in the literature (Barha et al., 2017c; Barha and Liu-Ambrose, 2018; Loprinzi and Frith, 2018). A large body of evidence, stemming mainly from animal studies, highlights the importance of neurotrophic factors, in particular brain derived neurotrophic factor (BDNF), in the AT-induced enhancements in cognition, brain function and neuroplasticity (Cotman et al., 2007). BDNF supports neuroplasticity, synaptic plasticity and the cellular mechanisms involved in learning and memory (Leal et al., 2015) and has been the focus of several AT studies. Several rodent studies indicate that central BDNF levels, particularly within the hippocampus, mediate the beneficial effects of AT on the brain (Voss et al., 2011, 2013; Triviño-Paredes et al., 2016). Additionally, an acute bout of running increases BDNF within the PFC of male mice (Baranowski et al., 2017). In contrast, evidence linking AT and increases in circulating BDNF levels is less clear in humans, although the majority of studies do support the role of BDNF in mediating AT efficacy (Knaepen et al., 2010; Szuhany et al., 2015). Several potential reasons for this lack of consistency in the literature have been proposed, including: (i) length of time between AT and BDNF assessment; (ii) intensity of AT; (iii) duration of AT; (iv) BDNF Val66Met genotype; and (v) sex of participants (Coelho et al., 2013; Szuhany et al., 2015; Maass et al., 2016; Barha et al., 2017c). Sex differences do exist in some of the functions attributed to BDNF (Phillips et al., 2014; Leal et al., 2015; Atwi et al., 2016; Chan and Ye, 2017; Scharfman and MacLusky, 2017). Indeed, a meta-analysis of 29 AT studies of different exercise paradigms (AT and RT, different durations and lengths) in humans of any age showed that sex was a significant moderator such that studies with more males showed greater BDNF changes from exercise (Szuhany et al., 2015). In contrast to these findings, a meta-analysis of studies of AT in older rodents showed that BDNF gains were greater in studies utilizing female rodents compared to male rodents (Barha et al., 2017b). Further, we recently showed in older humans with SIVCI, that 6-months of moderate intensity AT increased circulating BDNF levels in females but not males (Barha et al., 2017d). Altogether, these findings highlight the need for further studies of biological sex differences in the contributions of neurotrophic factors to AT benefits for brain health.
In addition to neurotrophic factors, the sex difference in the PA-induced cognitive and brain region volume response, may be related to several other factors, including alterations in neuroplastic processes, hormones, neurotransmitter systems, and physiological adaptations to exercise. For example, AT induces changes in neurogenesis, synaptogenesis, and angiogenesis in key brain regions involved in learning and memory (Voss et al., 2013; Prakash et al., 2015; Duzel et al., 2016; Triviño-Paredes et al., 2016). Many of these neuroplastic processes show sex differences (Barha and Liu-Ambrose, 2018); thus, it is possible that AT effects on these outcomes may be sex-dependent.
There have been relatively few studies that examine sex steroid hormone responses to long term PA within the context of aging. In older sedentary men, a 6-week intervention of moderate intensity aerobic exercise alone (Hayes et al., 2015) and when followed by 6-weeks of high intensity interval training (Hayes et al., 2017) was associated with increased circulating levels of total testosterone, although not all studies have found this association (for a review of the literature, see Hayes and Elliott, 2019). In older healthy women, a meta-analysis of 18 RCTs found that PA, particularly of high intensity, was associated with a small but statistically significant decrease in circulating total estradiol, as well as reductions in free testosterone (Ennour-Idrissi et al., 2015). In contrast to circulating levels of sex hormones, local, tissue-specific synthesis of testosterone and estradiol may be of more importance for brain health. For example, an acute bout of running in young rodents led to increased levels of testosterone in skeletal muscles in both males and females, whereas levels of estradiol only increased in males (Aizawa et al., 2008). On the other hand, using a rodent model of surgical menopause, Shi et al. (2019) recently found that longer-term running led to increased levels of estradiol in skeletal muscle in females. Studies looking at the effects of PA on local synthesis of sex steroids within the brain are scarce. In young male rodents, low intensity running led to increased de novo synthesis of dihydrotestosterone, a non-aromatizable androgen, in the hippocampus (Okamoto et al., 2012). Significantly, in the same study, depletion of circulating levels of androgens via castration did not abolish the beneficial effect of running on the hippocampus, supporting the importance of locally synthesized sex steroids in PA-effects in brain function. In addition to sex steroid hormones, other hormones may be involved in the sex difference in PA effects on the brain. For example, recently Yüksel et al. (2019) showed that 6 weeks of voluntary running increased oxytocin levels in the brain and periphery in female mice, which correlated with increased empathy-like behavior. In male mice, oxytocin was only increased in the brain, and levels did not correlate with empathy-like behavior. Further, PA may be exerting its influence on the brain through alterations in the hypothalamic-pituitary-adrenal axis (for a review, see Chen et al., 2017), and there are well established sex differences within this axis (for a recent review, see Rincón-Cortés et al., 2019).
PA also influences different neurotransmitter systems (Vecchio et al., 2018), including the dopaminergic system. PA in the form of aerobic exercise has been shown to increase dopamine levels and dopamine transmission within the brain of rodents and humans, including the hippocampus and PFC (Fisher et al., 2013; Robertson et al., 2016; Ko et al., 2019). Further support for the link between PA and dopamine comes from studying common polymorphisms within dopamine-related genes that alter dopamine signaling in humans. For example, carriers of the catechol-O-methyltransferase (COMT) Val158Met polymorphism, which is associated with dysregulated levels of dopamine in the brain, showed less cognitive improvements in response to 17 weeks of exercise (Stroth et al., 2010). Importantly, there are known sex differences in the effect of the COMT Val158Met polymorphism on the brain (Gurvich and Rossell, 2015) as well as in dopaminergic neurotransmission (Riccardi et al., 2011).
Sex differences exist within the respiratory, musculoskeletal and cardiovascular systems, leading to sex differences in the physiological responses of these systems to PA (Deschenes and Kraemer, 2002; Sheel et al., 2004; Green et al., 2016), with females typically at a disadvantage (Sheel et al., 2004; Harms and Rosenkranz, 2008). Potentially compounding this is the fact that older females engage in less PA and are more sedentary than older males (Kaplan et al., 2001; Lee, 2005), which has greater consequences for processing speed in females (Fagot et al., 2019). Therefore, increasing engagement in PA may lead to more appreciable effects on cognition and brain health in older females than older males. For a more comprehensive review of potential sex differences in mechanisms underlying AT effects on the brain, please see Barha and Liu-Ambrose (2018).
Engaging in PA is a relatively simple, highly implementable, and cost-effective lifestyle intervention with great promise in affording neuroprotection against cognitive decline in both normative and non-normative aging. Despite many studies supporting the utility of PA in preserving brain health in older age, a large degree of variation in PA efficacy exists (Smith et al., 2010; Gates et al., 2013; Kelly et al., 2014; Öhman et al., 2014; Young et al., 2015). Garnering a greater understanding of the sources of this variation will be a fundamental step towards the ultimate goal of prescribing PA as “medicine” for brain health. In this review article, we argued that biological sex is a potent moderator of the effectiveness of PA for both cognitive and neural outcomes. Future studies that aim to understand the mechanisms underlying PAs effects on the brain should take these profound sex differences into consideration.
CB wrote the first draft of the manuscript. C-LH, LB, and TL-A wrote sections of the manuscript. All authors read and approved the submitted version.
This work was supported by a Canadian Institutes of Health Research grant to TL-A (MOP-142206). TL-A is a Canada Research Chair (Tier 2) in Physical Activity, Mobility and Cognitive Neuroscience. CB is an Alzheimer’s Association USA and Brain Canada Research Fellow. Funding sources were not involved in the writing of this review or in the decision to submit this review for publication.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Keywords: sex differences, exercise, physical activity, cognition, hippocampus, prefrontal cortex, aging, dementia
Citation: Barha CK, Hsu C-L, ten Brinke L and Liu-Ambrose T (2019) Biological Sex: A Potential Moderator of Physical Activity Efficacy on Brain Health. Front. Aging Neurosci. 11:329. doi: 10.3389/fnagi.2019.00329
Received: 17 September 2019; Accepted: 12 November 2019;
Published: 06 December 2019.
Edited by:Beatrice Arosio, University of Milan, Italy
Reviewed by:Joana Gil-Mohapel, University of Victoria, Canada
Claudio D’Addario, University of Teramo, Italy
Copyright © 2019 Barha, Hsu, ten Brinke and Liu-Ambrose. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Cindy K. Barha, email@example.com