The Role of Physical Activity Prescription in Cardiovascular Disease Prevention Amongst South Asian Canadians

Introduction

The term “South Asian Canadian” encompasses diaspora from the sub-Himalayan Asian countries of Bangladesh, Nepal, Pakistan, India, and Sri Lanka. South Asians comprise 5.6% of the Canadian population, and there are presently 1,924,635 individuals of South Asian ethnicity in Canada, accounting for 25.1% of the minority population (1). Considering that South Asian Canadians (SACs) constitute the largest visible minority in Canada, optimizing their health and well-being has important implications for the healthcare system (2). This is particularly important considering the high burden of cardiovascular disease (CVD) in this cohort. Compared to Caucasians and other ethnic groups, SACs have a markedly higher prevalence of cardiovascular disease (CVD) and its associated risk factors (3, 4), which are multifactorial in nature and include genetic predisposition, diet, lifestyle, physical activity (PA) levels, barriers, and attitudes (5). Specifically, SACs have some of the lowest PA rates in Canada (3, 6), attributable to a number of factors to be discussed later. PA behavior is an important modifiable risk factor (Figure 1) for non-communicable disease and presents an important opportunity for the development of targeted interventions to increase PA participation in this high-risk cohort (7). Furthermore, physicians are a respected source of health information and are well-situated to discuss, promote, and prescribe PA as a CVD risk prevention strategy, with previous work demonstrating that clinician-based PA counseling increases patient participation (8–11). In order to make such interventions efficacious, it is crucial to identify the barriers that SACs face in respect to PA, as well as gaps in knowledge clinicians face when prescribing PA to SACs; understanding these challenges may help inform and guide clinicians in successfully formulating ethnoculturally sensitive and compatible health promotion interventions, in an effort to ultimately reduce the high incidence of CVD in this cohort. Therefore, the purpose of this mini-review is to highlight the burden of heart disease in SACs, PA intervention studies in SACs and the reported benefits in this population, factors affecting their PA participation and how to address them, PA prescription as prevention, and gaps in clinician knowledge and possible strategies on how they can be tackled.

FIGURE 1

Figure 1. Represents the modifiable and non-modifiable risk factors pertaining to CVD disease.

CVD Risk Factor Profile in South Asian Canadians

SACs have one of the highest rates of atherosclerosis and coronary artery disease (CAD) in Canada (12–15). Previous epidemiological work has also shown elevated incidence, prevalence and mortality from CAD in this cohort, which is characterized by two basic features: lower age of onset and elevated severity (14, 16). The INTERHEART study demonstrated that more than 90% of a population's attributable risk to myocardial infarctions (MIs), including that of South Asians, can be explained by 9 key risk factors including smoking, PA, intake of fruits and vegetables, alcohol, hypertension, abdominal adiposity, stress, elevated apolipoprotein B/apolipoprotein A1 (ApoB/ApoA1) ratio, and diabetes mellitus (17). Unfortunately, SACs do in fact suffer from most of these risk factors. Rana et al. demonstrated that, compared to Caucasian Canadians, SACs with similar BMI indices have a higher prevalence of hypertension, as well as higher body fat percentages (3). SACs' profile is also characterized by, increased incidence of type-2 diabetes mellitus, abdominal adiposity, increased serum adipokines, increased physical inactivity, and greater carbohydrate intake (3, 6). They also have alarmingly high rates of glucose intolerance, sub-optimal levels of total cholesterol, triglycerides, LDL particle size, HDL, and other predictive markers (13, 18). SACs do not have higher LDL levels, but they have a larger amount of smaller, denser LDL particles which are more atherogenic than larger LDL particles, which may lead to accelerated atherosclerosis and concomitant multivessel disease (14, 18). In addition to small dense LDL particles and reduced HDL, SACs also have triglyceride (TG)-rich remnants and elevated ApoB and non-HDL-cholesterol (3, 19). TG-rich particles and their remnants are considered highly atherogenic (19, 20), which may exacerbate an already heightened cardiovascular profile.

In addition to CVD, type 2 diabetes mellitus (T2DM) is also a malady amongst the South Asian cohort. Indeed, a population-based repeated cross-sectional study found that, compared to Caucasian, Chinese, and black participants, SAC males had a significant 2.3-fold increase in the prevalence of diabetes over an 11-years period (21). Veenstra concluded that indeed, SACs have the highest rates of diabetes and diabetes-related risk factors among all other ethnic groups in Canada with overarching themes that include greater visceral adiposity indices and lower levels of PA for a given BMI, compared to other ethnicities (22). Another study by Mcqueen and colleagues of 21,465 participants found that South Asians had the highest ApoB/ApoA1 ratio, which has been described as a good indicator for MI risk (23). Taken together, these findings suggest that the co-existence of multiple risk factors provides the optimal milieu for CVD to manifest.

Physical Activity Interventions for CVD Prevention in SACs

The World Health Organization (WHO) reports physical inactivity as one of the 10 leading causes of death in the Western world, contributing to 1.9 million preventable deaths annually (24, 25). In an effort to combat this substantial mortality rate, the WHO routinely advocates for the promotion of PA to manage chronic disease conditions, such as cardiovascular disease (26). In the PURE Study, Lear et al. examined PA type, amount and their association with mortality in 130,000 participants across 17 countries, including Canada (27). Moderate (150–750 min/week) and high (>750 min/week) PA were associated with a statistically signification reduction in CVD and all-cause mortality. This has important implications for high-risk populations, such as SACs. Indeed, a number of studies conducted in Canada showed the positive impact PA has on the SACs population in reducing CVD risk factors (Table 1) and their predictors. For example, Lesser et al. showed that a 12-weeks PA intervention significantly reduced total abdominal adipose tissue, visceral adipose tissue (VAT), subcutaneous abdominal adipose tissue, waist circumference (WC), and body fat percentage amongst SACs (29, 30). They also found an overall improvement in aerobic fitness, and an association between changes in VAT and changes in glucose and insulin sensitivity. Additionally, Vahabi and Damba observed that after a short 6-weeks PA intervention aimed at SACs, their BMI and WC had decreased, albeit non-significantly (33). The benefits of PA are also comparable to that of pharmacological therapies for certain conditions, such as stroke and secondary management of CVD, yet it is underprescribed (7, 34). Additionally, despite the elevated CVD risk of SACs and studies demonstrating improvements in CVD risk factors with PA in this population, few interventions have been created, tested, and implemented in clinical practice (11).

TABLE 1

Table 1. A summary of previously published studies examining the role of physical activity in South Asian Canadians.

Barriers to Physical Activity in SACs

Despite the established benefits of PA as a CVD prevention and management strategy, and a well-established modifiable risk factor for non-communicable diseases, participation rates are lowest in SACs, compared to other ethnic groups (3, 6). A cross-sectional study of 171,513 participants concluded that SACs are the least physically active ethnic group in Canada (35). The low participation rates in PA in SACs are related to the barriers highlighted below.

Culture and Illness Perception

South Asian cultures are diverse yet unique, with superseding concepts of cultural suitability and fatalism (36, 37), in addition to overarching holistic and spiritual views of disease and illness (38–43). Illness is often attributed to fate, with limited perceived jurisdiction over the matter (44–46). A study surveying South Asian and Caucasian patients with CVD in Canada demonstrated that SACs patients were less likely to perceive that they had control over their illness and that their illness was unpredictable, cyclical in nature, and a result of fate (46). Therefore, such beliefs may partly explain the low PA participation levels (36). Additionally, previous work has shown that South Asians' beliefs and attitudes have a significant effect on health outcomes, as health beliefs influence health behavior, such as a lower locus of control being associated with an increased risk of MI occurrence (47–49). To combat this issue, modifying illness perception is important to ensure that these individuals believe they have capacity to improve their cardiovascular health (50). By altering illness perception through education, SACs may be more inclined to participate in PA as a form of primary and secondary prevention (46).

Overweightness is often considered a desirable trait in South Asian cultures–especially in children–as they represent affluence and health (37, 51–53). Indeed, a cross-sectional study by Banerjee et al. demonstrated that SAC children (particularly boys) aged 10–12 have a greater prevalence of being overweight, compared to non-SACs (54). A more in-depth discussion on barriers faced specifically by SAC children and adolescents can be found under the “Barriers in South Asian Children” section below.

Immigration

Immigration is a life-changing process that brings with it the necessity to acculturate into Western society, climate, diet, and way of life (55). Initially, new South Asian immigrants may find themselves struggling with PA participation due to their aforementioned native cultures and traditions, but indeed PA levels increase with increasing time since immigration (56, 57). Those born outside of Canada are also more likely to be physically inactive than Canadian born counter-parts and established immigrants (58), highlighting the importance of acculturation in increasing PA levels (57). Based on the Canadian Community Health Survey, Mahmood and colleagues reported that 60% of recent immigrants were inactive compared to 63% of established immigrants, with those from visible minorities, such as South Asians (59). Although PA participation has been shown to increase with length of residency, Chiu and colleagues reported SACs CVD risk factor profile worsens with increasing residency duration in Canada, with no significant difference in CVD prevalence. Elevated risk factor profile with increasing residency duration may be attributed to factors, such as worsening dietary habits and lifestyle associated with increased exposure to Western diets and urbanization (14, 60). Creatore and colleagues also reported that longer term Ontario residents had a significantly higher prevalence of diabetes, compared to recent immigrants (61). This disparity may be partly explained by the thrifty gene hypothesis, where individuals conditioned to a nutritious diet with low-fat/low-salt, high nutrient and PA levels succumb to the high-fat/high-salt diets with concomitant reductions in PA levels in Western society. As a result, immigrants from South Asian countries are particularly susceptible to the shift in lifestyle that accompanies immigration (62, 63), and this has been shown to result in increased mortality from CAD and MI, as well as reduced health-related quality of life after treatment for MI (64, 65). Indeed, the effect of immigration on immigrants' cardiometabolic profile is not only isolated to SACs; numerous ethnic groups have showcased a similar decline in their cardiometabolic health and increase in risk factors. A well-documented example pertains to Japanese immigrants to the United States (US). In numerous seminal studies comparing and contrasting a Japanese cohort living in the States to a Japanese cohort in Japan, the former group was not only found to have a higher BMI, but also a lower a glucose tolerance than the latter group (66–70). Additionally, Curb et al. reported that those living in the US had twice as much fat in their diet than those living in Japan (71).

Gender Differences

South Asian culture typically emphasizes physical separation between men and women (72), which dissuades South Asian women from participating in non-gender specific PA programs (73). A systematic review examining themes regarding PA among South Asian women identified mixed-sex facilities and male instructors as a common barrier (74). Furthermore, Caperchione et al. identified other barriers to PA in SAC women living in Western Canada, such as insufficient time due to family and work commitment for PA (31). Indeed, SAC women participate in PA less than their male counterparts (75), and are 2.83 times more likely to be physically inactive than white Canadians (57). In order to combat low participation rates, implementing community-based PA programs in a culturally-sensitive and gender specific manner may improve adherence and participation levels. Numerous studies support this finding (28–31, 33) (Table 1). The low PA rates in SAC women may explain why many of the PA interventions studies have focused on this cohort, as well as on high risk sub-groups, such as post-menopausal women (29, 30, 32), whom have a heightened risk of cardiovascular disease, presumably due to a decrease in the cardioprotective effects of estrogen (76). To combat the low participation rates seen in SAC females, public PA venues may incorporate female-only days or sessions within their schedule. Another possibility is to encourage local culture centers, such as mosques, to incorporate female-only cultural PA interventions, many of which had been piloted and deemed successful (28–30, 33).

Physical Activity Environment

PA environments are a subdivision of the physical environment around us, and may be natural or built. Built environments include any space, such as homes, schools, and gymnasiums, as well as objects, such as treadmills and bicycles. Natural environments include any unaltered spaces or objects, such as open green fields or trees, respectively. Such spaces or objects and their policies then influence PA (77). It is well-known that PA environments differ between races (78). For example, Khan et al. showed that SACs often have less home exercise equipment and fewer convenient PA venues (79). SAC men have also previously reported the weather as a barrier (31, 80). Another reported issue among SAC adolescents is the lack of safe PA environments (81). To combat SACs unfamiliarity with their PA environment and concerns regarding safety, physicians and allied health professionals should be equipped with knowledge about PA facilities, programs, and resources within the community, and reassure parents and adolescents alike regarding their safety concerns.

Chronic Disease

An often-understated point in the hindrance of SACs PA participation is their immensely high rate of chronic disease; SACs rates of chronic diseases, such as hypertension, diabetes, atherosclerosis, and coronary artery disease are among the highest in Canada (3, 6, 12, 13, 15, 21, 22). Such a high prevalence of chronic disease may explain their low rates of PA. Indeed, it is well-known that chronic disease negatively affects PA levels since, among many other reasons, affected patients often have less energy to expend on PA (82). However, in addition to the actual burden of the disease, SACs may suffer from additional barriers not directly related to disease. For example, a study exploring PA among Sikh Canadians with previous MIs had not only identified fatigue and weakness, but also migration-related issues and a lack of knowledge regarding safe limits of exertion as major barriers to PA (83). The problem here is 2-fold. Firstly, there is a lack of knowledge regarding the importance of PA in reducing onset and effects of chronic disease, as well as a lack of knowledge regarding levels of safe PA in those with chronic disease. Secondly, a causality dilemma manifests: which came first, the disease or the inactivity? As such, clinicians should incorporate the importance of PA in their discussion with patients. They should be equipped with information regarding safe exertion levels for those with highly disabling conditions like CVD, and educate patients about the importance of PA for harm reduction in regard to the onset of CVD associated risk factors. Despite this, cardiac rehabilitation referral by physicians remains low in SACs, Therefore, endorsing and referring patients to PA programs is a possible strategy that may lead to improved survival and accrued benefits amongst SACs (84).

Physical Activity in South Asian Canadian Children

Childhood is a critical period for adopting healthy lifestyles and behaviors. Obesity during childhood and adolescence has been associated with the development of hypertension, diabetes, and cardiovascular disease in adulthood (85). SAC adolescents have worse cardiovascular risk factors (lower HDL levels and higher triglyceride levels) when compared to adolescents of European or Chinese descent (86). Interestingly, dietary intake does not significantly differ amongst the ethnic groups, which suggests that other factors, such as obesity and low levels of physical activity are contributing to the higher rates of dyslipidemia seen in SAC adolescents (86). However, more recently, consumption levels of sugar-sweetened beverages, such as those sweetened with fructose, has been associated with elevated BMI amongst children living in British Columbia, suggesting that this may be one contributing factor to the elevated obesity rates observed in this cohort (87). Furthermore, this may predispose SAC children to develop other co-morbidities in addition to metabolic syndrome, such as non-alcoholic fatty liver disease (NAFLD). Presently, NAFLD is an emerging epidemic amongst the South Asian population and the Western world, and is characterized by macrovesicular fatty infiltration of at least 5% of liver tissue (88, 89). PA implementation and encouraging sports participation at a young age, are all effective preventive measures which may protect SAC children from developing non-communicable disease in later life.

Barriers in South Asian Children

SAC adolescents identify several barriers impeding PA participation, some of which overlap with barriers that SAC adults experience. SAC adolescents report feeling limited to PA participation due to a lack of outdoor space, not living in close proximation to a gym or school, and due to parental concerns about safety (81). Furthermore, South Asian culture heavily emphasizes academic achievement and performance (90). As such, SAC students feel the need to prioritize studying time in order to achieve academic success (81). SAC girls report unique barriers to PA participation including concerns about physical appearance and feeling a lack of intrinsic motivation to be physically active due to societal norms that undervalue women's performance in sports (81). Encouraging PA participation during childhood years can reduce the prevalence of obesity and cardiovascular risk factors. PA programs and health promotion tactics geared toward children should consider ways to encourage female PA participation, identify methods to improve physical activity in urban areas lacking outdoor space, and how to incorporate physical activity effectively into students' lives without increasing academic pressure (81).

Physical Activity Amongst South Asians in Other Western Nations

Outside of Canada, the US and United Kingdom (UK) have two of the largest South Asian diaspora populations in the world. And indeed, the aforementioned unfavorable trends in metabolic profile and PA behavior hold true. For example, in the US, studies have shown that South Asians suffer from higher plasma LDL, triglycerides, fasting insulin levels (91), as well as fasting glucose levels (92, 93), compared to their Caucasian counterparts. Additionally, South Asians in the US have been shown to develop early-onset excess body fat, dyslipidemia, T2DM, and atherosclerosis, irrespective of their geographical location (94). Moreover, numerous studies have shown that South Asian in the US are less likely to participate in PA and meet the minimum PA guidelines, compared to Caucasian Americans (75, 95, 96). In one study, only 52% of participants were reported to meet the recommended daily PA guidelines as measured by accelerometers. This may be attributed to a lack of understanding and awareness about how exercise can modulate the cardiometabolic risk profile. Indeed, Bangladeshi immigrants in the US, were shown to have a lower understanding about CVD risk factors compared to the general Caucasian population, attributing diet and cholesterol as risk factors. They were also less likely to mention sedentary behavior as a CVD risk factor. To ameliorate this, the American Heart Association, recommends that tailored interventions that incorporate the cultural context are the best approach to improve success of both exercise and dietary interventions in South Asians (97).

South Asians in the UK portray congruent metabolic profiles and PA behaviors. A cross-sectional study conducted by Hayes at al. showed that, in comparison to the European population, South Asians participated less in PA, had higher BMI indices, systolic blood pressure measurements, and blood glucose levels (98). In fact, Fischbacher et al. concluded that all South Asian cohorts are the among the least physically active groups in the UK (99). Moreover, an 11-years follow-up cohort study by Mather et al. reported that British South Asians were 4 times more likely to report MIs than Caucasians, and that almost 80% of deaths of South Asians were due to circulatory disease, compared to 46% of Caucasians (100). As such, it is clear that South Asians' unfavorable cardiometabolic profile and low PA participation is an issue not isolated to only those living in Canada. It also appears that inter-generational differences affect PA levels, as second-generation South Asians are more active than first-generation immigrants, but still less active compared to the general Caucasian British population (101). Iliodromiti and colleagues suggest that South Asian men and women in the UK should undertake 230 min/week, as opposed to the standard 150 min/week in order to obtain the same cardiometabolic risk factor profile score, as Caucasians (102). However, to the best of our knowledge, no randomized-controlled trial (RCT) to identify if increased PA time/week can moderate cardiometabolic risk in this cohort has been conducted nor validated. Considering that South Asians are already amongst the least active ethnic cohorts in the UK, studies advocate for tailoring interventions that incorporate the social context of people's lives, and are culturally appropriate (103).

Addressing Physical Activity Participation Barriers

The Canadian Society for Exercise Physiology (CSEP) has developed age-specific PA guidelines in an effort to promote healthy living and prevention of disease (104). However, health promotion tactics, such as the ones implored by CSEP are developed for the general population. In order to address barriers to PA participation in a specific population, such as SACs, a holistic approach needs to be undertaken: one that encompasses gender, cultural, and social differences, among others mentioned earlier. In Canada, Aboriginals and SACs are the two major populations that experience elevated rates of chronic diseases and the highest rates of CVD (105). Previous work has shown that culturally responsive interventions that implore gender-sensitive and culturally specific approaches are effective in heart health promotion among indigenous women (106). Following the intervention, indigenous women became more mindful of the importance of PA in improving health outcomes. PA programs in religious institutions, such as mosques have also been effective in promoting PA in minority groups (28, 107). By integrating PA programs into religious institutions, minority groups are motivated to participate as this provides them with a safe and familiar environment (107). Women identified several facilitators for engagement in such programs including personal health benefits, social support networks, an environment which respects both cultural and religious views (107), suggesting the importance of culturally-sensitive approaches in PA programming to ensure high-uptake. Likewise, previous interventions aimed at SACs were more effective when adapted to their socio-cultural context (28, 30, 33, 108–110). For example, Lesser et al. (30) found that post-menopausal SAC women adhered more to a culture-based PA intervention than a control gym-based intervention. Vahabi and Damba showed that a 6-weeks culture-based PA intervention for SAC women had high rates of adherence, overall satisfaction, and positive comments, such as increased energy, self-esteem, and feeling more encouraged to have an active lifestyle; the only negative criticism from participants was that the intervention was too short (33). Similarly, Banerjee et al. noted that, after a mosque-based intervention, participants had self-reported increased self-efficacy and an improved understanding of PA participation (28). Additionally, it is of importance to note that not all patients will have the same barriers and facilitators to PA uptake. Thus, the use of an evidence-based behavior change framework, such as the Theoretical Domains Framework (TDF) may be valuable in identifying the key barriers that pertain specifically to the individual patients at hand, and ultimately, in designing more suitable and specific interventions for them (111, 112). Certainly, evidence-based interventions have been shown to be effective in lowering risk factors and mortality in high-risk populations, such as SACs (11), and the TDF has been previously successful in informing such interventions to increase patients' PA participation (113, 114).

Clinician Knowledge in Physical Activity Prescription

There is a significant body of evidence supporting the potency of physician counseling and advice in increasing patients' PA levels (8–10). However, a recent study by O'Brien et al. reported that Canadian physicians have insufficient knowledge and experience discussing PA with their patients (115). Only 9% of physicians self-reported being exceptionally knowledgeable in this area. However, steps are being made to address this. In 2012, CSEP, adopted the Exercise is Medicine Canada (EIMC) initiative, 5 years after its implementation in the US by the American College of Sports Medicine (116). As a nation-wide strategy, EIMC aims to implement chronic disease prevention strategies to reduce sedentary behavior and physical inactivity, to foster collaboration with clinicians and allied health professionals (AHPs) to combat and prevent chronic disease, and to increase the proportion of clinicians and AHPs who incorporate PA prescription into their practice (117). Indeed, EIMC and their on-campus chapters have implemented nation-wide workshops that educate medical students, physicians and AHPs about the importance of PA prescription (115). A recent study by Fowles et al. examined physicians across 7 provinces in Canada, and their practices and perception regarding PA prescription following an EIMC workshop (118). Physicians completed questionnaires at baseline and 3 months' post-workshop. Three months after the EIMC workshop, physicians were significantly more confident compared to pre-workshop, with barriers, such as lack of time and resources seen as less of an impediment, leading to an overall increase in physicians providing PA prescriptions for patients. Another study by Brennan et al. (119) assessing medical student social cognitions toward exercise counseling demonstrated improvements in attitudes, perceived behavioral control and intentions to discuss PA with future patients from pre- and post-workshop. Additionally, Windt et al. demonstrated that a 3-h education workshop significantly increased the percentage of physicians who provided written PA prescription, 4 weeks post-workshop (120). The Khush Dil (Happy Heart) Study demonstrated that health visitor-led screening clinics and workshops offering nutrition education, cooking workshops, aerobic exercise for women and circuit training for men resulted in increased motivational status, improved physical activity levels, and reduced risk factor profiles amongst returnees (121). Indeed, compelling evidence exists for the effectiveness of such workshops as a successful avenue to disseminate PA prescription strategies. However, in order to build and expand on EIMC's success, it is crucial that future workshops be informed by evidence. Accordingly, the aforementioned TDF may be used to identify more specific barriers and facilitators that physicians may face with PA prescription, such that interventions may be designed with the intent of targeting these barriers, making the intervention workshops more efficacious (111, 122, 123). Nonetheless, these workshops should (1) emphasize the importance of the cultural sensitivity in PA prescription for SACs and (2) recognize the sociocultural context of SACs' CVD risk; knowledge of these sociocultural variations may help to facilitate the delivery of PA programs that satisfy the cultural preferences of SACs, and ultimately enhance uptake and utilization (83), and also improve quality of care (49).

Future Directions

By 2020, The Heart and Stroke Foundation aspires for a 10% improvement in heart health of all Canadians (124). This goal can only be achieved by identifying high risk groups within a population, determining barriers and facilitators to preventative behavior like PA, and implementing efficacious interventions to address these barriers and augment facilitators. Undoubtedly, the prevalence CVD in SACs is amongst the highest in Canada (12, 13, 15, 16). They also suffer from a full spectrum of CVD risk factors, ranging from modifiable hypertension and diabetes (3, 13, 21) to non-modifiable adverse genetic profiles (125, 126). They also have unique barriers to preventative and curative PA habits, which include an unfavorable illness perception (44–46), previous cultural norms (37, 51–53, 81), substantial immigration-related matters (55, 60, 61), gender- and religion-related discrepancies (31, 73, 74, 80), a negative PA environment (79, 81), and a large chronic diseases burden (3, 6, 12, 13, 15, 21, 22), leading to one of the lowest PA participation rates in Canada (3, 6, 35).

PA prescription is a cost-effective intervention that could save the healthcare system significant expenditure if widely adopted, ameliorating the healthcare burden of preventable chronic disease, such as CVD. Bounajm et al. suggest that increasing PA levels in sedentary individuals with chronic disease can save the Canadian healthcare system an estimated 2.1 billion dollars in healthcare associated costs, such as hospitalization and diagnostics (127). Educating primary care physicians on the importance of culturally-sensitive PA prescription is an important step (8–10), with previous research describing methods to increase physician-prescribed PA (118, 120). Another critical aspect is addressing SACs' barriers to PA. Significant evidence illustrates the effectiveness of using behavior frameworks in identifying barriers and opportunities in PA participation and addressing them in an evidence-based manner (111–114), with many studies implementing PA programs to SACs in a culturally-sensitive manner reporting noteworthy success (28–31, 33).

Conclusion

There have been significant strides in understanding the prevalence, impact, and nuances of CVD amongst SACs. While there are ever-increasing amounts of data on the benefits of PA in this context, there continues to be multi-factorial impediment to actualization of health improvement. This review highlights the importance of ongoing fundamental translational work in bringing a multi-factorial accounting of participation barriers, ranging from the biological to anthropological, toward enabling optimal clinician armament and improved patient care.

Author Contributions

TT conceptualized and initiated the mini-review, was involved in analysis, interpretation of data, and drafting of the manuscript. MI drafted the manuscript, wrote Barriers to Physical Activity in SACs section, and was involved in analysis and interpretation of data. SD and KD provided feedback and guidance throughout the completion of this manuscript. SK wrote Barriers to Physical Activity in SACs section. TT and SS wrote Clinician Knowledge and Physical Activity Prescription section. PG-R wrote the Conclusion section and provided guidance and feedback. NS wrote CVD Risk Factor Profile in SAC section. All authors were involved in critical revision of the manuscript for important intellectual content. The authors have no conflicts of interests to declare.

Funding

This work has been supported by the Royal College of Surgeons in Ireland-MUB Postgraduate Research Fund.

Conflict of Interest Statement

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.

Abbreviations

AHP, allied health professional; ApoA1, apolipoprotein A1; ApoB, apolipoprotein B; BMI, body-mass index; CAD, coronary artery disease; CSEP, Canadian Society for Exercise Physiology; CVD, cardiovascular disease; EIMC, Exercise is Medicine Canada; HDL, high density lipoprotein; LDL, low density lipoprotein; MI, myocardial infarction; NAFLD, non-alcoholic fatty liver disease; PA, physical activity; SACs, South Asian Canadians; TDM, theoretical domains framework; T2DM, type 2 diabetes mellitus; VAT, visceral adipose tissue; WC, waist circumference; WHO, World Health Organization; US, United States; UK, United Kingdom.

References

1. Statistics Canada. Ethnic Origin, Age, Sex and Selected Demographic, Cultural, Labour Force, Educational and Income Characteristics for the Population in Private Households of Canada, Provinces and Territories, Census Metropolitan Areas and Census Agglomerations, 25% Data (table). Data Tables, 2016 Census. Data Products, 2016 Census. Statistics Canada catalogue no. 98-400-X2016189 (2016). Available online at: https://www12.statcan.gc.ca/census-recensement/2016/dp-pd/dt-td/Rp-eng.cfm?LANG=E&APATH=3&DETAIL=0&DIM=0&FL=A&FREE=0&GC=0&GID=0&GK=0&GRP=1&PID=112450&PRID=10&PTYPE=109445&S=0&SHOWALL=0&SUB=0&Temporal=2017&THEME=124&VID=0&VNAMEE=&VNAMEF= (Accessed May 30, 2018).

2. Gushulak BD, Pottie K, Roberts JH, Torres S, DesMeules M, Immigrant CCF, et al. Migration and health in Canada: health in the global village. Can Med Assoc J. (2011) 183:E952–8. doi: 10.1503/cmaj.090287

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Rana A, de Souza RJ, Kandasamy S, Lear SA, Anand SS. Cardiovascular risk among South Asians living in Canada: a systematic review and meta-analysis. Can Med Assoc J Open (2014) 2:E183. doi: 10.9778/cmajo.20130064

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Sohail QZ, Chu A, Rezai MR, Donovan LR, Ko DT, Tu JV. The risk of ischemic heart disease and stroke among immigrant populations: a systematic review. Can J Cardiol. (2015) 31:1160–8. doi: 10.1016/j.cjca.2015.04.027

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Chen Y, Copeland WK, Vedanthan R, Grant E, Lee JE, Gu D, et al. Association between body mass index and cardiovascular disease mortality in east Asians and south Asians: pooled analysis of prospective data from the Asia Cohort Consortium. BMJ (2013) 347:f5446. doi: 10.1136/bmj.f5446

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Fernando E, Razak F, Lear SA, Anand SS. Cardiovascular disease in South Asian migrants. Can J Cardiol. (2015) 31:1139–50. doi: 10.1016/j.cjca.2015.06.008

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Thornton JS, Frémont P, Khan K, Poirier P, Fowles J, Wells GD, et al. Physical activity prescription: a critical opportunity to address a modifiable risk factor for the prevention and management of chronic disease: a position statement by the Canadian Academy of Sport and Exercise Medicine. Br J Sports Med. (2016) 26:259–65. doi: 10.1097/JSM.0000000000000363

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Calfas KJ, Long BJ, Sallis JF, Wooten WJ, Pratt M, Patrick K. A controlled trial of physician counseling to promote the adoption of physical activity. Prev Med. (1996) 25:225–33. doi: 10.1006/pmed.1996.0050

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Kreuter MW, Chheda SG, Bull FC. How does physician advice influence patient behavior?: evidence for a priming effect. Arch Fam Med. (2000) 9:426–33. doi: 10.1001/archfami.9.5.426

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Grandes G, Sanchez A, Sanchez-Pinilla RO, Torcal J, Montoya I, Lizarraga K, et al. Effectiveness of physical activity advice and prescription by physicians in routine primary care: a cluster randomized trial. Arch Intern Med. (2009) 169:694–701. doi: 10.1001/archinternmed.2009.23

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Anand SS, Samaan Z, Middleton C, Irvine J, Desai D, Schulze KM, et al. A digital health intervention to lower cardiovascular risk: a randomized clinical trial. JAMA Cardiol. (2016) 1:601–6. doi: 10.1001/jamacardio.2016.1035

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Sheth T, Nair C, Nargundkar M, Anand S, Yusuf S. Cardiovascular and cancer mortality among Canadians of European, south Asian and Chinese origin from 1979 to 1993 an analysis of 1.2 million deaths. CMAJ (1999) 161:132–8.

PubMed Abstract | Google Scholar

13. Anand SS, Yusuf S, Vuksan V, Devanesen S, Teo KK, Montague PA, et al. Differences in risk factors, atherosclerosis, and cardiovascular disease between ethnic groups in Canada: the Study of Health Assessment and Risk in Ethnic groups (SHARE). Lancet (2000) 356:279–84. doi: 10.1016/S0140-6736(00)02502-2

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Bainey KR, Jugdutt BI. Increased burden of coronary artery disease in South-Asians living in North America. Need for an aggressive management algorithm. Atherosclerosis (2009) 204:1–10. doi: 10.1016/j.atherosclerosis.2008.09.023

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Chiu M, Austin PC, Manuel DG, Tu JV. Comparison of cardiovascular risk profiles among ethnic groups using population health surveys between 1996 and 2007. CMAJ (2010) 182:E301–10. doi: 10.1503/cmaj.091676

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Palaniappan L, Garg A, Enas E, Lewis H, Bari S, Gulati M, et al. South Asian cardiovascular disease and cancer risk: genetics and pathophysiology. J Community Health (2018) 43:1100–14. doi: 10.1007/s10900-018-0527-8

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Yusuf S, Hawken S, Ôunpuu S, Dans T, Avezum A, Lanas F, et al. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet (2004) 364:937–52. doi: 10.1016/S0140-6736(04)17018-9

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Karthikeyan G, Teo KK, Islam S, McQueen MJ, Pais P, Wang X, et al. Lipid profile, plasma apolipoproteins, and risk of a first myocardial infarction among Asians: an analysis from the INTERHEART Study. J Am Coll Cardiol. (2009) 53:244–53. doi: 10.1016/j.jacc.2008.09.041

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Sniderman AD, Bhopal R, Prabhakaran D, Sarrafzadegan N, Tchernof A. Why might South Asians be so susceptible to central obesity and its atherogenic consequences? The adipose tissue overflow hypothesis. Int J Epidemiol. (2007) 36:220–5. doi: 10.1093/ije/dyl245

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Sniderman AD, Toth PP, Thanassoulis G, Furberg CD. An evidence-based analysis of the National Lipid Association recommendations concerning non-HDL-C and apoB. J Clin Lipidol. (2016) 10:1248–58. doi: 10.1016/j.jacl.2016.07.008

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Chiu M, Maclagan LC, Tu JV, Shah BR. Temporal trends in cardiovascular disease risk factors among white, South Asian, Chinese and black groups in Ontario, Canada, 2001 to 2012: a population-based study. BMJ Open (2015) 5:e007232. doi: 10.1136/bmjopen-2014-007232

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Veenstra G. Racialized identity and health in Canada: results from a nationally representative survey. Soc Sci Med. (2009) 69:538–42. doi: 10.1016/j.socscimed.2009.06.009

PubMed Abstract | CrossRef Full Text | Google Scholar

23. McQueen MJ, Hawken S, Wang X, Ounpuu S, Sniderman A, Probstfield J, et al. Lipids, lipoproteins, and apolipoproteins as risk markers of myocardial infarction in 52 countries (the INTERHEART study): a case-control study. Lancet (2008) 372:224–33. doi: 10.1016/S0140-6736(08)61076-4

PubMed Abstract | CrossRef Full Text | Google Scholar

24. World Health Organization. The World Health Report 2002: Reducing Risks, Promoting Healthy Life. Geneva: World Health Organization (2002).

25. World Health Organization. Global Health Risks: Mortality and Burden of Disease Attributable to Selected Major Risk. Geneva: World Health Organization (2009).

26. World Health Organization. Global Recommendations on Physical Activity for Health. Geneva: WHO (2010).

27. Lear SA, Hu W, Rangarajan S, Gasevic D, Leong D, Iqbal R, et al. The effect of physical activity on mortality and cardiovascular disease in 130 000 people from 17 high-income, middle-income, and low-income countries: the PURE study. Lancet (2017) 390:2643–54. doi: 10.1016/S0140-6736(17)31634-3

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Banerjee AT, Landry M, Zawi M, Childerhose D, Stephens N, Shafique A, et al. A pilot examination of a mosque-based physical activity intervention for South Asian muslim women in Ontario, Canada. J Immigr Minor Health (2017) 19:349–57. doi: 10.1007/s10903-016-0393-3

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Lesser IA, Guenette JA, Hoogbruin A, Mackey DC, Singer J, Gasevic D, et al. Association between exercise-induced change in body composition and change in cardiometabolic risk factors in postmenopausal South Asian women. Appl Physiol Nutr Metab. (2016) 41:931–7. doi: 10.1139/apnm-2016-0082

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Lesser IA, Singer J, Hoogbruin A, Mackey DC, Katzmarzyk PT, Sohal P, et al. Effectiveness of exercise on visceral adipose tissue in older South Asian Women. Med Sci Sports Exerc. (2016) 48:1371–8. doi: 10.1249/MSS.0000000000000906

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Caperchione CM, Chau S, Walker GJ, Mummery WK, Jennings C. Gender-associated perceptions of barriers and motivators to physical activity participation in South Asian Punjabis living in western Canada. J Phys Act Health (2015) 12:686–93. doi: 10.1123/jpah.2013-0208

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Lesser I, Dick T, Guenette J, Hoogbruin A, Mackey D, Singer J, et al. The association between cardiorespiratory fitness and abdominal adiposity in postmenopausal, physically inactive South Asian women. Prev Med Rep. (2015) 2:783–7. doi: 10.1016/j.pmedr.2015.09.007

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Vahabi M, Damba C. A feasibility study of a culturally and gender-specific dance to promote physical activity for South Asian immigrant women in the greater Toronto area. Womens Health Issues (2015) 25:79–87. doi: 10.1016/j.whi.2014.09.007

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Hoffmann TC, Maher CG, Briffa T, Sherrington C, Bennell K, Alison J, et al. Prescribing exercise interventions for patients with chronic conditions. CMAJ (2016) 188:510–8. doi: 10.1503/cmaj.150684

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Bryan SN, Tremblay MS, Pérez CE, Ardern CI, Katzmarzyk PT. Physical activity and ethnicity: evidence from the Canadian Community Health Survey. Can J Public Health (2006) 97:271–6.

PubMed Abstract | Google Scholar

36. Horne M, Tierney S. What are the barriers and facilitators to exercise and physical activity uptake and adherence among South Asian older adults: a systematic review of qualitative studies. Prev Med. (2012) 55:276–84. doi: 10.1016/j.ypmed.2012.07.016

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Pallan M, Parry J, Adab P. Contextual influences on the development of obesity in children: a case study of UK South Asian communities. Prev Med. (2012) 54:205–11. doi: 10.1016/j.ypmed.2012.01.018

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Kurtz SN. All the Mothers are One: Hindu India and the Cultural Reshaping of Psychoanalysis. New York, NY: Columbia University Press (1992).

Google Scholar

39. Desjarlais RR, Maskarinec G. Body and emotion: the aesthetics of illness and healing in the Nepal Himalayas. Cult Med Psychiatry (1994) 18:493–500. doi: 10.1007/BF01565851

CrossRef Full Text | Google Scholar

40. Lamb S. White Saris and Sweet Mangoes: Aging, Gender, and Body in North India. Berkeley, CA: University of California Press (2000).

Google Scholar

41. Langford J. Fluent Bodies: Ayurvedic Remedies for Postcolonial Imbalance. Durham, NC: Duke University Press (2002).

Google Scholar

42. Kakar S. Shamans, Mystics, and Doctors. New York, NY: Knopf (2013).

43. Obeyesekere G. Medusa's hair: An Essay on Personal Symbols and Religious Experience. Chicago, IL: University of Chicago Press (2014).

Google Scholar

44. Lawton J, Ahmad N, Peel E, Hallowell N. Contextualising accounts of illness: notions of responsibility and blame in white and South Asian respondents' accounts of diabetes causation. Sociol Health Illn. (2007) 29:891–906. doi: 10.1111/j.1467-9566.2007.01036.x

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Darr A, Astin F, Atkin K. Causal attributions, lifestyle change, and coronary heart disease: illness beliefs of patients of South Asian and European origin living in the United Kingdom. Heart Lung. (2008) 37:91–104. doi: 10.1016/j.hrtlng.2007.03.004

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Grewal K, Stewart DE, Grace SL. Differences in social support and illness perceptions among South Asian and Caucasian patients with coronary artery disease. Heart (2010) 39:180–7. doi: 10.1016/j.hrtlng.2009.06.016

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Beishon S, Nazroo JY. Coronary Heart Disease: Contrasting the Health Beliefs and Behaviours of South Asian Communities in the UK. London: HEA (1997).

Google Scholar

48. Rosengren A, Hawken S, Ôunpuu S, Sliwa K, Zubaid M, Almahmeed WA, et al. Association of psychosocial risk factors with risk of acute myocardial infarction in 11 119 cases and 13 648 controls from 52 countries (the INTERHEART study): case-control study. Lancet (2004) 364:953–62. doi: 10.1016/S0140-6736(04)17019-0

CrossRef Full Text | Google Scholar

49. Narasimhan S, McKay K, Bainey KR. Coronary artery disease in South Asians. Cardiol Rev. (2012) 20:304–11. doi: 10.1097/CRD.0b013e3182532286

PubMed Abstract | CrossRef Full Text | Google Scholar

50. AbuSabha R, Achterberg C. Review of self-efficacy and locus of control for nutrition-and health-related behavior. J Am Diet Assoc. (1997) 97:1122–32. doi: 10.1016/S0002-8223(97)00273-3

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Greenhalgh T, Helman C, Chowdhury AMm. Health beliefs and folk models of diabetes in British Bangladeshis: a qualitative study. BMJ (1998) 316:978–83. doi: 10.1136/bmj.316.7136.978

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Bhardwaj S, Misra A, Khurana L, Gulati S, Shah P, Vikram NK. Childhood obesity in Asian Indians: a burgeoning cause of insulin resistance, diabetes and sub-clinical inflammation. Asia Pac J Clin Nutr. (2008) 17 (Suppl. 1):172–5.

PubMed Abstract | Google Scholar

53. Ramachandran A, Chamukuttan S, Shetty SA, Arun N, Susairaj P. Obesity in Asia–is it different from rest of the world. Diabetes Metab Res Rev. (2012) 28:47–51. doi: 10.1002/dmrr.2353

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Banerjee AT, Flora PK, Stone M, Faulkner G. Differences in the prevalence of overweight between 10–12-year-old South Asian and Non-South Asian children in Toronto, Ontario: findings from project BEAT. J Racial Ethn Health Disparities (2015) 2:184–91. doi: 10.1007/s40615-014-0062-y

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Abouguendia M, Noels KA. General and acculturation-related daily hassles and psychological adjustment in first-and second-generation South Asian immigrants to Canada. Int J Psychol. (2001) 36:163–73. doi: 10.1080/741930008

CrossRef Full Text | Google Scholar

56. Tremblay MS, Bryan SN, Pérez CE, Ardern CI, Katzmarzyk PT. Physical activity and immigrant status: evidence from the Canadian Community Health Survey. Can J Public Health (2006) 97:277–82.

PubMed Abstract | Google Scholar

57. Dogra S, Meisner BA, Ardern CI. Variation in mode of physical activity by ethnicity and time since immigration: a cross-sectional analysis. Int J Behav Nutr Phys Act. (2010) 7:75. doi: 10.1186/1479-5868-7-75

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Kukaswadia A, Pickett W, Janssen I. Time since immigration and ethnicity as predictors of physical activity among Canadian youth: a cross-sectional study. PLoS ONE (2014) 9:e89509. doi: 10.1371/journal.pone.0089509

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Mahmood B, Bhatti JA, Leon A, Gotay C. Leisure time physical activity levels in immigrants by ethnicity and time since immigration to Canada: findings from the 2011–2012 canadian community health survey. J Immigr Minor Health (2018) 20: 1–10. doi: 10.1007/s10903-018-0789-3

CrossRef Full Text | Google Scholar

60. Chiu M, Austin PC, Manuel DG, Tu JV. Cardiovascular risk factor profiles of recent immigrants vs long-term residents of Ontario: a multi-ethnic study. Can J Cardiol. (2012) 28:20–6. doi: 10.1016/j.cjca.2011.06.002

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Creatore MI, Moineddin R, Booth G, Manuel DH, DesMeules M, McDermott S, et al. Age-and sex-related prevalence of diabetes mellitus among immigrants to Ontario, Canada. Can Med Assoc J. (2010) 182:781–9. doi: 10.1503/cmaj.091551

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Neel JV. Diabetes mellitus: a “thrifty” genotype rendered detrimental by “progress”? Am J Hum Genet. (1962) 14:353.

PubMed Abstract | Google Scholar

63. Hales CN, Barker DJ. Type 2 (non-insulin-dependent) diabetes mellitus: the thrifty phenotype hypothesis. Diabetologia (1992) 35:595–601. doi: 10.1007/BF00400248

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Yusuf S, Reddy S, Ôunpuu S, Anand S. Global burden of cardiovascular diseases: Part II: variations in cardiovascular disease by specific ethnic groups and geographic regions and prevention strategies. Circulation (2001) 104:2855–64. doi: 10.1161/hc4701.099488

PubMed Abstract | CrossRef Full Text

65. Bainey KR, Norris CM, Gupta M, Southern D, Galbraith D, Knudtson ML, et al. Altered health status and quality of life in South Asians with coronary artery disease. Am Heart J. (2011) 162:501–6. doi: 10.1016/j.ahj.2011.06.009

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Fujimoto W, Hershon K, Kinyoun J, Stolov W, Weinberg C, Ishiwata K, et al. Type II diabetes mellitus in Seattle and Tokyo. Tohoku J Exp Med. (1983) 141(Suppl.):133–9. doi: 10.1620/tjem.141.Suppl_133

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Fujimoto W, Hershon K, Kinyoun J, Okamoto J, Weinberg C, Stolov W, et al. Maturity-onset diabetes in second generation Japanese-American (Nisei) and Caucasian males in Seattle, Washington: a pilot study. In: Genetic Environmental Interaction in Diabetes Mellitus Excerpta Medica, Amsterdam (1982). p. 101–6.

68. Kagan A, Harris BR, Winkelstein W, Johnson KG, Kato H, Syme SL, et al. Epidemiologic studies of coronary heart disease and stroke in Japanese men living in Japan, Hawaii and California: demographic, physical, dietary and biochemical characteristics. J Clin Epidemiol. (1974) 27:345–64.

PubMed Abstract | Google Scholar

69. Kawate R, Yamakido M, Nishimoto Y. Migrant studies among the Japanese in Hiroshima and Hawaii. In: Proceedings of the 10th Congress of the International Diabetes Federation (Vienna) (1980) 526–31.

70. Fujimoto WY, Boyko EJ, Hayashi T, Kahn SE, Leonetti DL, McNeely MJ, et al. Risk factors for type 2 diabetes: lessons learned from Japanese Americans in Seattle. J Diabetes Investig. (2012) 3:212–24. doi: 10.1111/j.2040-1124.2012.00195.x

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Curb JD, Marcus EB. Body fat and obesity in Japanese Americans. Am J Clin Nutr. (1991) 53:1552S−5S. doi: 10.1093/ajcn/53.6.1552S

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Rodrigues G, Jongbloed L, Li Z, Dean E. Ischaemic heart disease–related knowledge, behaviours, and beliefs of indo-Canadians and Euro-Canadians: implications for physical therapists. Physiother Can. (2014) 66:208–17. doi: 10.3138/ptc.2012-70BC

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Lawton J, Ahmad N, Hanna L, Douglas M, Hallowell N. ‘I can't do any serious exercise': barriers to physical activity amongst people of Pakistani and Indian origin with type 2 diabetes. Health Educ Res. (2005) 21:43–54. doi: 10.1093/her/cyh042

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Babakus WS, Thompson JL. Physical activity among South Asian women: a systematic, mixed-methods review. Int J Behav Nutr Phys Act. (2012) 9:150. doi: 10.1186/1479-5868-9-150

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Daniel M, Wilbur J. Physical activity among South Asian Indian immigrants: an integrative review. Public Health Nurs. (2011) 28:389–401. doi: 10.1111/j.1525-1446.2010.00932.x

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Nyberg M, Egelund J, Mandrup CM, Andersen CB, Hansen KM, Hergel IMF, et al. Leg vascular and skeletal muscle mitochondrial adaptations to aerobic high-intensity exercise training are enhanced in the early postmenopausal phase. J Physiol. (2017) 595:2969–83. doi: 10.1113/JP273871

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Sallis JF. Measuring physical activity environments: a brief history. Am J Prev Med. (2009) 36:S86–92. doi: 10.1016/j.amepre.2009.01.002

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Gordon-Larsen P, Nelson MC, Page P, Popkin BM. Inequality in the built environment underlies key health disparities in physical activity and obesity. Pediatrics (2006) 117:417–24. doi: 10.1542/peds.2005-0058

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Khan SN, Grace SL, Oh P, Anand S, Stewart DE, Wu G, et al. A comparison of physical activity environments between South Asians and white Caucasians with coronary heart disease. Ethn Dis. (2010) 20:390–5.

PubMed Abstract | Google Scholar

80. Oliffe JL, Grewal S, Bottorff JL, Dhesi J, Bindy H, Kang K, et al. Masculinities, diet and senior Punjabi Sikh immigrant men: food for Western thought? Sociol Health Illn. (2010) 32:761–76. doi: 10.1111/j.1467-9566.2010.01252.x

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Rajaraman D, Correa N, Punthakee Z, Lear SA, Jayachitra KG, Vaz M, et al. Perceived benefits, facilitators, disadvantages, and barriers for physical activity amongst South Asian adolescents in India and Canada. J Phys Act Health (2015) 12:931–41. doi: 10.1123/jpah.2014-0049

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Westerterp KR. Physical activity and physical activity induced energy expenditure in humans: measurement, determinants, and effects. Front Physiol. (2013) 4:90. doi: 10.3389/fphys.2013.00090

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Galdas PM, Oliffe JL, Kang HBK, Kelly MT. Punjabi Sikh patients' perceived barriers to engaging in physical exercise following myocardial infarction. Public Health Nurs. (2012) 29:534–41. doi: 10.1111/j.1525-1446.2012.01009.x

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Sharma R, Norris CM, Gyenes G, Senaratne M, Bainey KR. Effect of cardiac rehabilitation on South Asian individuals with cardiovascular disease: results from the APPROACH registry. Can J Cardiol. (2016) 32:S397–402. doi: 10.1016/j.cjca.2016.05.012

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Sommer A, Twig G. The impact of childhood and adolescent obesity on cardiovascular risk in adulthood: a systematic review. Curr Diab Rep. (2018) 18:91. doi: 10.1007/s11892-018-1062-9

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Vuksan V, Rogovik A, Jenkins A, Peeva V, Beljan-Zdravkovic U, Stavro M. Cardiovascular risk factors, diet and lifestyle among European, South Asian and Chinese adolaescents in Canada. Paediatr Child Health (2012) 17:e1–6. doi: 10.1093/pch/17.1.e1

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Parmar JK. Sugar-Sweetened Beverages and Their Relationship to Obesity in South Asian Children [Dissertation]. Simon Fraser University (2014)

Google Scholar

88. Neuschwander-Tetri BA. Nonalcoholic steatohepatitis and the metabolic syndrome. Am J Med Sci. (2005) 330:326–35. doi: 10.1097/00000441-200512000-00011

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Singh S, Kuftinec GN, Sarkar S. Non-alcoholic fatty liver disease in South Asians: a review of the literature. J Clin Transl Hepatol. (2017) 5:76–81. doi: 10.14218/JCTH.2016.00045

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Bhattacharya G, Schoppelrey SL. Preimmigration beliefs of life success, postimmigration experiences, and acculturative stress: South Asian immigrants in the United States. J Immigr Health (2004) 6:83–92. doi: 10.1023/B:JOIH.0000019168.75062.36

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Kalhan R, Puthawala K, Agarwal S, Amini SB, Kalhan SC. Altered lipid profile, leptin, insulin, and anthropometry in offspring of South Asian immigrants in the United States. Metabolism (2001) 50:1197–202. doi: 10.1053/meta.2001.26704

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Kanaya A, Wassel C, Mathur D, Stewart A, Herrington D, Budoff M, et al. Prevalence and correlates of diabetes in South Asian Indians in the United States: findings from the metabolic syndrome and atherosclerosis in South Asians living in America study and the multi-ethnic study of atherosclerosis. Metab Syndr Relat Disord. (2010) 8:157–64. doi: 10.1089/met.2009.0062

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Enas E, Garg A, Davidson M, Nair V, Huet B, Yusuf S. Coronary heart disease and its risk factors in first-generation immigrant Asian Indians to the United States of America. Indian Heart J. (1996) 48:343–53.

PubMed Abstract | Google Scholar

94. Misra A, Vikram NK. Insulin resistance syndrome (metabolic syndrome) and obesity in Asian Indians: evidence and implications. Nutrition (2004) 20:482–91. doi: 10.1016/j.nut.2004.01.020

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Yates T, Davies M, Gray L, Webb D, Henson J, Gill J, et al. Levels of physical activity and relationship with markers of diabetes and cardiovascular disease risk in 5474 white European and South Asian adults screened for type 2 diabetes. Prev Med. (2010) 51:290–4. doi: 10.1016/j.ypmed.2010.06.011

PubMed Abstract | CrossRef Full Text | Google Scholar

96. de Munter JS, Agyemang C, Brewster LM, Stronks K, van Valkengoed IG. The association of leisure-time physical activity and active commuting with measures of socioeconomic position in a multiethnic population living in the Netherlands: results from the cross-sectional SUNSET study. BMC Public Health (2012) 12:815. doi: 10.1186/1471-2458-12-815

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Patel M, Boutin-Foster C, Phillips E. Understanding of cardiovascular disease risk factors among Bangladeshi immigrants in New York City. Ethn Health (2017) 22:1–11. doi: 10.1080/13557858.2017.1346191

CrossRef Full Text | Google Scholar

98. Hayes L, White M, Unwin N, Bhopal R, Fischbacher C, Harland J, et al. Patterns of physical activity and relationship with risk markers for cardiovascular disease and diabetes in Indian, Pakistani, Bangladeshi and European adults in a UK population. J Public Health (2002) 24:170–8. doi: 10.1093/pubmed/24.3.170

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Fischbacher C, Hunt S, Alexander L. How physically active are South Asians in the United Kingdom? A literature review. J Public Health (2004) 26:250–8. doi: 10.1093/pubmed/fdh158

PubMed Abstract | CrossRef Full Text | Google Scholar

100. Mather H, Chaturvedi N, Fuller J. Mortality and morbidity from diabetes in South Asians and Europeans: 11-year follow-up of the Southall Diabetes Survey, London, UK. Diabet Med. (1998) 15:53–9. doi: 10.1002/(SICI)1096-9136(199801)15:1<53::AID-DIA521>3.0.CO;2-V

PubMed Abstract | CrossRef Full Text | Google Scholar

101. Bhatnagar P, Shaw A, Foster C. Generational differences in the physical activity of UK South Asians: a systematic review. Int J Behav Nutr Phys Act. (2015) 12:96. doi: 10.1186/s12966-015-0255-8

PubMed Abstract | CrossRef Full Text | Google Scholar

102. Iliodromiti S, Ghouri N, Celis-Morales CA, Sattar N, Lumsden MA, Gill JM. Should physical activity recommendations for South Asian adults be ethnicity-specific? Evidence from a cross-sectional study of South Asian and white European men and women. PLoS ONE (2016) 11:e0160024. doi: 10.1371/journal.pone.0160024

PubMed Abstract | CrossRef Full Text | Google Scholar

103. Jepson R, Harris FM, Bowes A, Robertson R, Avan G, Sheikh A. Physical activity in South Asians: an in-depth qualitative study to explore motivations and facilitators. PLoS ONE (2012) 7:e45333. doi: 10.1371/journal.pone.0045333

PubMed Abstract | CrossRef Full Text | Google Scholar

104. Tremblay MS, Warburton DE, Janssen I, Paterson DH, Latimer AE, Rhodes RE, et al. New Canadian physical activity guidelines. Appl Physiol Nutr Metab. (2011) 36:36–46. doi: 10.1139/H11-009

PubMed Abstract | CrossRef Full Text | Google Scholar

105. Foulds HJ, Bredin SS, Warburton DE. Greater prevalence of select chronic conditions among Aboriginal and South Asian participants from an ethnically diverse convenience sample of British Columbians. Appl Physiol Nutr Metab. (2012) 37:1212–21. doi: 10.1139/h2012-110

PubMed Abstract | CrossRef Full Text | Google Scholar

106. Ziabakhsh S, Pederson A, Prodan-Bhalla N, Middagh D, Jinkerson-Brass S. Women-centered and culturally responsive heart health promotion among Indigenous women in Canada. Health Promot Pract. (2016) 17:814–26. doi: 10.1177/1524839916633238

PubMed Abstract | CrossRef Full Text | Google Scholar

107. Abdulwasi M, Bhardwaj M, Nakamura Y, Zawi M, Price J, Harvey P, et al. An ecological exploration of facilitators to participation in a mosque-based physical activity program for South Asian Muslim Women. J Phys Act Health (2018) 15:671–8. doi: 10.1123/jpah.2017-0312

PubMed Abstract | CrossRef Full Text | Google Scholar

108. Tirodkar MA, Baker DW, Makoul GT, Khurana N, Paracha MW, Kandula NR. Explanatory models of health and disease among South Asian immigrants in Chicago. J Immigr Minor Health (2011) 13:385–94. doi: 10.1007/s10903-009-9304-1

PubMed Abstract | CrossRef Full Text | Google Scholar

109. Tirodkar MA, Baker DW, Khurana N, Makoul G, Paracha MW, Kandula NR. Explanatory models of coronary heart disease among South Asian immigrants. Patient Educ Couns. (2011) 85:230–6. doi: 10.1016/j.pec.2010.10.002

PubMed Abstract | CrossRef Full Text | Google Scholar

110. Kandula NR, Dave S, De Chavez PJ, Marquez DX, Bharucha H, Mammen S, et al. An exercise intervention for South Asian Mothers with risk factors for diabetes. Transl J Am Coll Sports Med. (2016) 1:52–9.

PubMed Abstract | Google Scholar

111. Michie S, Johnston M, Francis J, Hardeman W, Eccles M. From theory to intervention: mapping theoretically derived behavioural determinants to behaviour change techniques. Appl Psychol. (2008) 57:660–80. doi: 10.1111/j.1464-0597.2008.00341.x

CrossRef Full Text | Google Scholar

112. Atkins L, Francis J, Islam R, O'Connor D, Patey A, Ivers N, et al. A guide to using the theoretical domains framework of behaviour change to investigate implementation problems. Implement Sci. (2017) 12:77. doi: 10.1186/s13012-017-0605-9

PubMed Abstract | CrossRef Full Text | Google Scholar

113. Kolehmainen N, Francis JJ, Ramsay CR, Owen C, McKee L, Ketelaar M, et al. Participation in physical play and leisure: developing a theory-and evidence-based intervention for children with motor impairments. BMC Pediatr. (2011) 11:100. doi: 10.1186/1471-2431-11-100

PubMed Abstract | CrossRef Full Text | Google Scholar

114. Taylor N, Lawton R, Conner M. Development and initial validation of the determinants of physical activity questionnaire. Int J Behav Nutr Phys Act. (2013) 10:74. doi: 10.1186/1479-5868-10-74

PubMed Abstract | CrossRef Full Text | Google Scholar

115. O'Brien MW, Shields CA, Oh PI, Fowles JR. Health care provider confidence and exercise prescription practices of Exercise is Medicine Canada workshop attendees. Appl Physiol Nutr Metab. (2016) 42:384–90. doi: 10.1139/apnm-2016-0413

PubMed Abstract | CrossRef Full Text | Google Scholar

116. Exercise is Medicine. Exercise is Medicine (2018). Available online at: http://www.exerciseismedicine.org/

117. Exercise is Medicine Canada. Exercise is Medicine Canada (2018) Available online at: http://www.exerciseismedicine.org/canada/ (Accesssed August 16, 2018).

118. Fowles JR, O'Brien MW, Solmundson K, Oh PI, Shields CA. Exercise is Medicine Canada physical activity counselling and exercise prescription training improves counselling, prescription, and referral practices among physicians across Canada. Appl Physiol Nutr Metab. (2018) 43:535–9. doi: 10.1139/apnm-2017-0763

PubMed Abstract | CrossRef Full Text | Google Scholar

119. Brennan AM, D'Urzo KA, Fenuta AM, Houlden RL, Tomasone JR. Integrating exercise counseling into the medical school curriculum: a workshop-based approach using behavior change techniques. Am J Lifestyle Med. (2017) 11. doi: 10.1177/1559827617722754

CrossRef Full Text | Google Scholar

120. Windt J, Windt A, Davis J, Petrella R, Khan K. Can a 3-hour educational workshop and the provision of practical tools encourage family physicians to prescribe physical activity as medicine? A pre–post study. BMJ Open (2015) 5:e007920. doi: 10.1136/bmjopen-2015-007920

PubMed Abstract | CrossRef Full Text | Google Scholar

121. Mathews G, Alexander J, Rahemtulla T, Bhopal R. Impact of a cardiovascular risk control project for South Asians (Khush Dil) on motivation, behaviour, obesity, blood pressure and lipids. J Public Health (2007) 29:388–97. doi: 10.1093/pubmed/fdm044

PubMed Abstract | CrossRef Full Text | Google Scholar

122. Francis JJ, Stockton C, Eccles MP, Johnston M, Cuthbertson BH, Grimshaw JM, et al. Evidence-based selection of theories for designing behaviour change interventions: using methods based on theoretical construct domains to understand clinicians' blood transfusion behaviour. Br J Health Psychol. (2009) 14:625–46. doi: 10.1348/135910708X397025

PubMed Abstract | CrossRef Full Text | Google Scholar

123. French SD, Green SE, O'Connor DA, McKenzie JE, Francis JJ, Michie S, et al. Developing theory-informed behaviour change interventions to implement evidence into practice: a systematic approach using the Theoretical Domains Framework. Implement Sci. (2012) 7:38. doi: 10.1186/1748-5908-7-38

PubMed Abstract | CrossRef Full Text | Google Scholar

124. Heart and Stroke Foundation of Canada. What We Do. (2018).

125. Anand SS, Enas EA, Pogue J, Haffner S, Pearson T, Yusuf S. Elevated lipoprotein (a) levels in South Asians in North America. Metabolism (1998) 47:182–4. doi: 10.1016/S0026-0495(98)90217-7

PubMed Abstract | CrossRef Full Text | Google Scholar

126. Enas EA, Chacko V, Senthilkumar A, Puthumana N, Mohan V. Elevated lipoprotein (a)—a genetic risk factor for premature vascular disease in people with and without standard risk factors: a review. Dis Mon. (2006) 1:5–50. doi: 10.1016/j.disamonth.2006.01.002

CrossRef Full Text | Google Scholar

127. Bounajm F, Dinh T, Thériault L. (Eds.). Moving ahead: the economic impact of reducing physical inactivity and sedentary behaviour. In: The Conference Boards of Canada, Ottawa, ON, Canada (2014).

Google Scholar