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Open Access Highly Accessed Review

Physical activity among South Asian women: a systematic, mixed-methods review

Whitney S Babakus* and Janice L Thompson

Author Affiliations

School of Sport and Exercise Sciences, University of Birmingham, Birmingham, B15 2TT, UK

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International Journal of Behavioral Nutrition and Physical Activity 2012, 9:150  doi:10.1186/1479-5868-9-150

The electronic version of this article is the complete one and can be found online at: http://www.ijbnpa.org/content/9/1/150


Received:25 April 2012
Accepted:6 December 2012
Published:20 December 2012

© 2012 Babakus and Thompson.; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Introduction

The objective of this systematic mixed-methods review is to assess what is currently known about the levels of physical activity (PA) and sedentary time (ST) and to contextualize these behaviors among South Asian women with an immigrant background.

Methods

A systematic search of the literature was conducted using combinations of the key words PA, ST, South Asian, and immigrant. A mixed-methods approach was used to analyze and synthesize all evidence, both quantitative and qualitative. Twenty-six quantitative and twelve qualitative studies were identified as meeting the inclusion criteria.

Results

Studies quantifying PA and ST among South Asian women showed low levels of PA compared with South Asian men and with white European comparison populations. However making valid comparisons between studies was challenging due to a lack of standardized PA measurement. The majority of studies indicated that South Asian women did not meet recommended amounts of PA for health benefits. Few studies assessed ST. Themes emerging from qualitative studies included cultural and structural barriers to PA, faith and education as facilitators, and a lack of understanding of the recommended amounts of PA and its benefits among South Asian women.

Conclusions

Quantitative and qualitative evidence indicate that South Asian women do not perform the recommended level of PA for health benefits. Both types of studies suffer from limitations due to methods of data collection. More research should be dedicated to standardizing objective PA measurement and to understanding how to utilize the resources of the individuals and communities to increase PA levels and overall health of South Asian women.

Keywords:
Health inequalities; Sedentary time; Self-reported physical activity

Background

Low levels of physical activity (PA) (defined as movement of the body requiring energy expenditure) and increased sedentary time (ST) (no energy expenditure above that required at rest) are major independent risk factors in the development of cardiovascular disease, and are recognized as key contributors to other chronic conditions such as type 2 diabetes and obesity [1]. As such, PA and ST are potentially modifiable health behaviors that can be changed to reduce risks for morbidity and premature mortality resulting from various chronic diseases [2-4]. It has been shown that those who are physically active can reduce their risk of developing cardiovascular disease by up to 50% [2]. The World Health Organization, US Department of Health and Human Services and the UK Department of Health agree that 150 minutes of moderate intensity PA or 75 minutes of vigorous activity per week are recommended to achieve health benefits [5-7].

South Asian women (SA) are disproportionately affected by chronic diseases [2,8,9] and large cross-national surveys of many western nations such as the UK, Australia and the US have consistently reported that SAs report lower levels of PA than their white counterparts [10,11]. Cardiovascular disease (CVD), which includes heart attack and stroke, accounts for 16.7 million deaths globally each year [12]. CVD is the leading cause of death in the UK and nearly half of all deaths in Europe are caused by CVD [12]. The UK has one of the highest rates of CVD in the world, with more than 190,000 deaths in 2008 [12]. In the UK 33% of all mortality in South Asian women and 25% in men 2008 was caused by cardiovascular disease [12]. As insufficient PA is recognized as a significant, independent risk factor for CVD and other chronic diseases, it is important to gain a better understanding of the PA levels of SA and the factors influencing PA among this population to help inform the development and delivery of culturally appropriate interventions and policy [13].

Researchers have recently focused on quantifying and contextualizing PA and ST among groups such as SAs living in industrialized countries who are at the greatest risk for cardiovascular and other chronic diseases such as type 2 diabetes and hypercholesterolemia when compared to the general populations of those countries [14]. The objective of this systematic mixed-methods review is to assess what is currently known about levels of PA and ST in SA. Research questions are: 1) What is known about the volume, intensity, duration and type of PA/ST that SAs engage in, 2) What is known about the context in which these behaviors occur in SA, and 3) What is the quality of the evidence on PA/ST in SAs?

Methods

After careful consideration of the methods that would be most appropriate for answering the research questions, a combination of the EPPI-Centre mixed-methods systematic review and an integrative review were used. This review uses the EPPI-Centre methods for systematically searching the literature, rigorously assessing the quality of studies, and synthesizing quantitative and qualitative studies into one report. As in the integrative method, many types of studies were considered for inclusion in order to meet the objective of the review [15]. These included randomized and non-randomized controlled trials, observational studies and qualitative studies. The adaptation of the mixed-methods review and integrative review allowed for a systematized and rigorous review while including the appropriate studies to fully answer the research questions.

Search strategy

A search was performed in online databases (MEDLINE, The Cochrane Library, EMBASE, PsychInfo, CINAHL, AnthroSource and Sociological Abstracts from 1980 to July 2012), grey literature, hand searches of journals over the previous twelve months (MSSE, Journal of Physical Activity & Health, Journal of Aging and Physical Activity), and reference lists of articles to identify studies. Search terms included combinations of PA, ST, physical exercise, physical fitness, exercise, sport, physical training, physical training, recreation activity, MVPA, LTPA, leisure activities, physical inactivity, sedentary behavior and South Asian/immigrant. Inclusion criteria were: Randomized and non-randomized controlled studies, observational and qualitative studies; studies that include data on PA and/ or ST; studies on SA; studies published from 1980 on to obtain the most current data; studies with data on adult women aged 18 and older; studies published in English. Exclusion criteria included: Studies without adult data and studies focusing on migrant groups instead of permanent immigrants, and studies on children.

Quality of studies was assessed using validated checklists developed from the Critical Appraisal Skills Programme (CASP) [16,17]. The checklist for quantitative studies was used to assess quality of study design including methods selection, identification of biases, appropriate use of statistical methods, and clarity of reporting [16]. Studies were accepted for inclusion if they addressed each of these through justification of choices made in each quality category. The checklist for qualitative studies assessed strength of studies for inclusion, ranking studies on a continuum from weak to strong [17]. Consideration was given to rigor (thorough and appropriate key research methods), credibility (findings well presented and meaningful), and relevance (how useful are the findings) [17]. Qualitative studies were acceptable for inclusion if they were categorized as at least of moderate quality. Study eligibility was confirmed by two researchers and quality assessment and data extraction were performed by the principal investigator (WSB) and confirmed by a senior researcher (JLT).

Findings from quantitative studies are described numerically and textually to provide a summary of evidence on PA and ST performed by SA since heterogeneity of methods and measures of PA and ST precludes the use of meta-analysis. Qualitative data was synthesized and analysed thematically using NVIVO in three stages: 1) line-by-line coding of primary studies; 2) organising codes into themes; and 3) development of analytical themes [18]. The final integrated synthesis consists of narrative commentary, combining the results of quantitative and qualitative syntheses.

Results

Figure 1 shows the identification and inclusion of studies for the final synthesis. A total of 8,123 studies were initially retrieved and seventy-three studies were identified by title and abstract for more detailed evaluation. Thirty-eight studies (quantitative n = 26, qualitative n = 12) were included in the final synthesis and analysis.

thumbnailFigure 1. Identification and inclusion of relevant studies for review

Quantitative synthesis

One study was observational longitudinal [4] and 25 were cross-sectional designs [7,8,10,19-39] (Table 1). Fifteen studies were conducted in the UK [4,10,19,20,24,26,32-34,36-38,40-42], six in the US [21,27-29,31,39], two in Canada [8,30], one in New Zealand [22], one in Australia/India [25], and one in Guadeloupe [35]. Eight studies obtained samples from large-scale population studies [10,29,30,33,36-39], five recruited from community centres [21,22,27,28,32], five from census/birth records or electoral registers [20,34,40-42], three from general practice lists [11,26,35], two did not state recruitment strategy [8,43], two recruited based on postcode [4,19] and one recruited from a university campus [31]. Five studies were limited to women [20,24,31,33,40], while the remaining included both women and men. Five studies conducted their analyses on men and women as one group [10,21,29,36]; sixteen provided analyses by gender [4,8,19,22,25-27,30,32,33,35,37,38,41-43]. Four studies conducted subgroup analyses by country of origin [4,10,19,20]. All but two [22,32] studies assessed PA or ST through self-report survey. These were through pedometer (New Lifestyles NL200) to calculate steps and through accelerometer (Caltrac) used in conjunction with a heart rate monitor to calculate energy expenditure [22,32]. Four studies [21,22,26,33] examined PA among SA over 40 years of age while all other studies examined adults ranging in age from 16 yr to 90+ yr.

Table 1. Summary of included quantitative studies

Measurement of physical activity and sedentary time

Sixteen studies focused on PA prevalence [4,8,10,19,21,22,24,27,29,30,33,34,38-40,42]. Two studies used a questionnaire to estimate both PA and ST among male and female SAs in the UK [36,39]. Fourteen focused on the prevalence of PA among SAs in comparison to the white or general population of the host country. Kolt et al. (2007) did not make this comparison [22]. Methods of assessing PA prevalence varied greatly between studies. Four studies measured prevalence of PA in the week prior to completion of the survey [10,29,34,39], two asked respondents broadly if they participated in PA but did not specify a timeframe [21,40], two assessed the prevalence of participating in regular PA [24,30], one dichotomized PA by asking respondents if they were either active or inactive [4], one assessed prevalence of PA based on the number of kilometres walked or cycled per hour/week [33], one assessed the prevalence of ever taking vigorous PA [42], one used a scale (highly to ‘never-routinely’) [28], one study assessed the prevalence of performing PA by number of times/week [8], one assessed the prevalence of physical inactivity only [39], and one assessed PA using pedometer steps per minute measured over 7 consecutive days [22]. All studies that assessed prevalence of PA in comparison to the white or general population found that SAs performed significantly less PA than the comparison group [4,8,10,24,29,33,39,40,42,44].

Three studies assessed duration of PA [25,27,31]. Misra et al. (2005) report total PA duration in mean minutes per week [27]. SA Indian men performed an average of 45 (+/−44) minutes while women performed 16 (+/−48) minutes of PA, less than half of the minutes of PA that the men did per week [27]. Majahan et al. (2004) reported total exercise in hours over a two-week period [25]. This study compared SA Indian women living in Australia or India, and found that women in Australia were performing just over half of the hrs/2 weeks of PA (4.8 +/5.3, p < .003) than the women in India (9.2+/− 9.1, p < .003) [25]. Palaniappan et al. (2002) reported regular exercise in number of minutes per week [31], and found that SA Indian women performed nearly 5 minutes less regular exercise overall than their white counterparts (42 +/− 20.7 vs. 46.5 +/− 21.5) though this result was not significant. Two studies assessed PA in terms of energy expenditure with both finding that SA expended less energy in PA that their white and SA male counterparts [26,35]. The one study that measured both PA and ST reported that on average, 70% of SAs in the study did some PA and that an average of 50% of participants were sedentary for more than 3 hours per day [36].

Eighteen studies assessed LTPA [8,10,19-21,24-31,33,34,40,41,45], three assessed home, work and leisure physical activity combined [4,37,38], two assessed active commuting [8,27], two did not specify mode of activity but instead measured energy expenditure [32,35], one assessed occupational physical activity [33], one study did not specify mode of activity but focused on intensity of the activity [42], one study assessed steps but did not specify the mode of activity [22], and one study looked solely at physical inactivity with no mode specified [39]. In studies that assessed LTPA in both SA and white European groups, SA consistently reported less LTPA than their white European counterparts [4,8,10,24-26,29-31,33,34,40,41]. In the study by Dogra et al., 55.8% of SA respondents reported actively commuting to work versus 53.1% of the white European respondents (not significant) [8]. Misra et al. (2005) report that 12.5% of SA men reported actively commuting to work while no women reported doing so [27]. Pomerleau et al. (1999) indicate that 62.5% of SA and 49.0% of white Europeans reported walking more than sitting at work (p < 0.01) [33].

Qualitative synthesis

Eleven of the twelve qualitative studies included in this review investigated LTPA [15,23,46-53], and one investigated the feasibility of using accelerometers and questionnaires to assess PA among SA [54]. Seven conducted individual interviews [22,27,32,46,47,55,56], three conducted focus groups [50,52,57], and two used both methods to address various research questions pertaining to PA; none of these studies explored behaviors related to ST [48,49]. Eight studies were conducted in the UK [23,46,48,49,52-54,58], and one each in Canada [47], Australia [51], the US [50], and Norway [15]. Participants from five studies were recruited from general medical practices [23,46,47,51,52,58], three from community centers/sports clubs [15,52,54], one via media release [51], one recruited participants by identifying people from participant observations [49], one from a larger cross sectional study [50] and one did not describe participant recruitment [48]. Nine studies included male and female participants [23,46-52,58] and three were restricted to women [15,53,54]. Ages of participants in all studies ranged from 30 yr to 70+ yr. One study restricted age to 16–25 yr [15] and one did not specify age, but has been included in this review because the authors stated it focused on adults [50]. Table 2 summarizes the main findings of the qualitative studies. A broad range of themes emerged including knowledge of PA and its benefits as well as barriers and facilitators to participation among SA. All but one study discussed some aspect of these themes [54]. The study by Pollard & Guell explored the feasibility of using accelerometers with South Asian women and how well they were able to recall PA from the previous week in order to determine the appropriateness of using questionnaires with the group [54].

Table 2. Summary of qualitative studies focusing on South Asian women and physical activity

Knowledge of physical activity and its benefits

Nine studies highlighted participants’ knowledge of PA and its benefits [23,41,46,48-51,53,58]. In three studies respondents reported awareness that they should be participating in regular PA and that it has some general health benefits [23,50,58]. In the study by Horne et al., participants reported not being aware of the health benefits of PA [49]. Although there was a general awareness, five studies reported that there was confusion as to what types and how much PA to perform as well as confusion about specific health benefits [46,48,49,53,58].

Barriers to participating in physical activity

Nine studies reported barriers to PA participation among SA [23,46,48-53,58]. Major barriers were those due to cultural differences with the dominant society and structural barriers. Five studies reported that SA as well as their families and communities would view taking time out to participate in PA as a selfish act [23,48,51,53,58]. Women reported that in SA culture, a woman’s focus is meant to be on the family and she should perform domestic duties over all other activities [23,53]. Those women who participated in PA or wanted to, were concerned about the stigma that might come from others in their community [23,48,58]. Moreover they reported that caretaking duties left them with no time for PA [23,46,58]. Five studies cited culturally inappropriate facilities as a barrier to PA participation in this population [46,48,52,53,58]. Examples included mixed-sex facilities such as swimming pools that do not consider the women’s requirement for modesty, and the use of male instructors [23,48,58]. Four studies found that women were less likely to participate in PA outside their home if they had difficulties speaking English, the language of the wider society [23,48,52,53]. The concept of fatalism or the idea that health is Allah’s will was expressed in two studies [48,49].

Structural barriers such as fear for personal safety were cited in five studies [23,46,49,52,53]. Many women were worried for their safety if they were to go out into the neighborhood unaccompanied [23,46], while others were fearful of exacerbating an illness or disability by doing too much PA or becoming too tired while out in the neighborhood alone [46,49,53]. Three studies cited poor weather as the main barrier for low PA participation [23,46,52]. Finally, lack of time [23,46,58], money [48], and access to open spaces [46] were additional structural barriers noted.

Facilitators to participating in physical activity

Facilitators to PA participation emerged in four studies [23,48,49,53]. A common facilitator seen in all studies was motivation to participate in PA as a way to care for the health of the body and to prevent or alleviate illness and disease [23,48,49,53]. Two studies offered solutions to lack of PA motivation in SA [23,48]. Having exercise equipment in the home was seen as one way to motivate people to be physically active and eliminate several barriers to participation [23]. Education about Muslim faith was also seen as a way to motivate the South Asian community since PA was seen as central to the Muslim way of life [48].

Final synthesis & discussion

The quantitative studies included in this review broadly indicate that SA’s PA levels are lower than the general or white population of their host countries, though SA Indian women generally had higher levels when compared to other SA women (Bangladeshi and Pakistani women) of the host countries [4,10,19,20,41]. There were no randomized controlled trials available for inclusion in this review, which may indicate that there is not enough high quality evidence on PA or ST in this population from which to draw conclusions. Self-report surveys were used to measure PA participation in all but two studies [22,32]; it is recognised these measures have limitations such as recall bias and misinterpretation of questions [14,59]. Eight studies reported using questions on PA from a validated questionnaire, though these have been validated on white populations, not SA populations [25,27,28,34,36,37,39,42]. The study that used an accelerometer to measure PA levels chose to use a device that is often used in conjunction with a heart rate monitor and is typically used to measure the energy expenditure (in kcals) of PA [32]. The findings that women of SA origin perform little PA based on their energy expenditure are similar to other studies that have used the Caltrac to assess PA in other ethnic minority women such as African American women in the US [60].

This device is known to overestimate energy expenditure of activities such as walking and running and therefore may not be the best choice of accelerometer [56]. Other accelerometers that are commonly used are the Actigraph and the ActivePAL [44]. These can be worn without the use of a heart rate monitor and are widely used to measure the intensity and duration of PA [44]. More high quality studies with rigorous study designs and methods are needed to assess levels of PA and ST in this population.

Heterogeneity within SA groups based on country of origin/birth and diversity of socioeconomic status (SES), religious beliefs and cultural practices make insights from these studies difficult to generalize and should be interpreted with caution [61,62]. Of the 26 quantitative studies reviewed only 13 included any information on SES and a range of markers of SES were measured across studies [4,8,19-21,28-30,33,34,36,38,39,42]. Measures of SES included household income [4,8,21,34,36,42], education level [4,8,19,20,28,30,33], and deprivation indexes such as Index of Multiple Deprivation scores [37] and the Townsend Deprivation Index [4]. Other potential mediating or confounding factors such as employment status [18,28], disease status [4,22,32,38,39,41], religion [19,36], stress levels [36] and racial discrimination [20,36] were reported and controlled for in physical activity analyses, although these were not collected in all studies.

Conclusions from these studies are based on the limited and often missing information on sampling, methods and findings obtained from papers. Most studies gave minimal or no information on the translation of surveys into the appropriate languages. As the qualitative studies reviewed here have indicated, English language skills are limited in this group and efforts should be made by researchers to make the translation and interview process more transparent. Measurement and definition of PA varied widely, making it difficult to quantify activity across all studies. Moreover terms such as PA, vigorous, moderate, exercise, etc. have different meanings in the English language, making them challenging to understand by those whose first language is not English [63]. As evidenced by this review, ST is largely overlooked within the current research on SA. Only two studies reported ST and this was self-reported data [36,38]. Based on the evidence indicating low levels of PA, this population is likely to have high rates of ST and sedentary behaviors. Future research is needed to assess levels of ST and contextualize sedentary behaviors since these have been identified as important independent risk factors for CVD. Additionally, it is difficult to compare PA across studies since the domain of PA measured, and the methods used to assess PA, varied across studies. The majority of quantitative studies measured LTPA. It may be the case that SA women do not engage in LTPA but do engage in more household or occupational activities. There may be considerable amounts of PA that are not being captured by the currently published studies, therefore more investigation is needed into the type of PA that SA women currently engage in.

The qualitative studies reviewed for this paper varied by methods, sample size, and research focus. While most studies reported that they chose themes or interview questions a priori, there was little description of how these were chosen. Mays & Pope (2003) recommend using the presence of a theoretical framework as one aspect of assessing quality of qualitative studies [15]. However only three studies in this review [15,47,51] identified and reported the theoretical framework that underpinned the study.

Knowledge of PA and its benefits was found to be lacking among SA. Horne et al. (2009) found that there was disagreement on the understanding of the difference between exercise and PA [49]. This misunderstanding can be compounded by health practitioners or health promotion professionals giving only general recommendations, and failing to provide detail on what activities should be performed, at what intensity and for what duration [53]. Awareness of specific health benefits of PA such as falls prevention, cardiovascular health, and stress relief was low among many SA [23,49,52,58]. Of those respondents who knew about the benefits of PA and had knowledge of which activities to participate in, few reported that they were successful in actually performing any activity [23,46,49,58] or did not believe that they needed PA for their own health [46,49,52,58]. In contrast, Kalra et al. (2004) found that most respondents (who were all of SA Indian descent) did do some PA [50].

While the majority of the qualitative studies addressed barriers and facilitator to PA, there was little agreement in the findings. There are several possible reasons for this. The term “South Asian” is used to group together people from the India, Pakistan, Bangladesh, and Sri Lanka, but this grouping is one of convenience and fails to address the differences that may be found between these diverse countries and cultures. The studies were also guided by different research goals. For example, some focused on PA in SA with type 2 diabetes [23,48] or heart disease [47,51-53,58], and others on falls prevention for older SA [49]. Finally, the method of data collection, i.e. individual interviews vs. focus groups, may provide information on individual’s thoughts and perceptions (interviews) or reveal the thoughts and perceptions of the collective (focus groups) [61]. Some common themes across these two methods were identified. These included barriers to PA due to differences of the host culture and the SA culture, structural barriers such as neighborhood safety, and facilitators such as the use of faith and education to encourage activity.

Put in the context of global PA and ST among ethnic minority groups, the findings from this review are consistent with those of many previous studies on other ethnic minority groups. Examples include studies on African Americans and Hispanics in the United States where researchers have found similar barriers to those of the SA reviewed here, including cultural barriers such as proper dress for PA and lack of time, money and facilities for PA [1,57,64]. Studies on Muslim minority groups have also found comparable results to these, referring to an incongruence of the minority culture and the host population as a main barrier to PA behaviors [65]. Future research should focus on improved methods of working within minority cultures to reduce barriers to PA and discourage ST. While there are similarities in the barriers to PA, the solutions to low PA among these groups may be varied due to the specific characteristics of individuals and communities. These should therefore be explored further and employed to promote increased levels of PA and reduce ST among SA.

This review has built a detailed description of all the evidence published since 1980 on SA and PA from both quantitative and qualitative sources. This method of synthesizing both types of studies has some limitations. There is currently no standardized way of extracting data or assessing the quality of both types of studies [61], therefore more than one method was used. This analysis suffers from a lack of detail from some papers on the sample, methods, and findings. Publication and researcher bias are also a consideration, although efforts were made to procure all studies, published or unpublished, and to use multiple researchers in the identification of studies, data extraction and assessment of quality. Finally, due to a lack of randomized controlled trials and significant heterogeneity between studies, a meta-analysis of results was not possible.

Although not a traditional systematic review, this review has closely followed the rigorous standards of conducting systematic reviews. The strengths of this review include transparent methodology and the inclusion of all types of research to produce the most comprehensive narrative evidence on PA and SA. This review updates and improves upon previous work through integration of study types to provide the most comprehensive picture of existing evidence in this area [63,66]. This systematic synthesis of studies also allows for the development of more informed recommendations for future research needs and intervention strategies.

Implications

These findings have implications for researchers, policy specialists and health practitioners. It is clear from the findings of this review that there is little standardization of PA measurement or terminology used to describe SA groups across studies. This reduces the ability to compare findings across studies and to make any useful generalizations. It is recommended that researchers use objective measures of PA (e.g., accelerometers) more widely among ethnic minority groups. Only two of the 26 quantitative studies [20,22] in this review used objective measurements and only one of those used accelerometers [32]. While there are other objective measurements that might be considered to be the gold standard, accelerometers offer the ability to accurately and consistently monitor PA and avoid recall bias, translation issues, and have a high degree of reliability over time [22,59]. The wider use of this technology will help to standardize PA measures and allow for better comparisons across studies. While objective measurement is recommended, it is not always a practical option. Therefore when self-report methods must be used in lieu of objective measurement, it is recommended that researchers used the IPAQ in order to standardize measurement across studies [67]. The IPAQ can be translated into a range of languages and dialects and used for a wide variety of participants, [38,59,67]. Additionally, this review illustrates the need for more theory-based research to better understand the social, structural, economic, and cultural factors contributing to the PA and ST in this group. Moreover, there is currently not enough data to ascertain whether there is a consistent difference between women of various SA subgroups, and if there is, what that difference might be.

Policy specialists should consider the alarmingly low rates of PA among SA and press for more evidence-based interventions and programs aimed at this population. The results reported here suggest that healthcare and health promotion practitioners need to provide more detailed guidance on the type, frequency and duration of PA for their patients and clients in this population. There is also concern among SA that participating in PA will aggravate current disease or illness and practitioners should promote education on the benefits of PA even for those with disease. The use of translators and leaders in the faith communities may assist in disseminating these messages.

Conclusions

This review has identified the quantitative and qualitative studies on PA among SA. All quantitative studies showed a trend toward low activity levels in this group, though outcome measures varied widely. Although findings were limited, they suggest that barriers to PA may be overcome by working within cultural norms and to provide more education on the safety and benefit of PA. The evidence base for these conclusions is limited and it is recommended that more research be done in this area to close gaps in knowledge and provide the information needed to develop and disseminate culturally appropriate interventions that increase PA and reduce ST in this population.

Competing interests

Both Authors declare that they have no competing interests.

Authors’ contributions

WSB designed the study and collected the data. WSB and JLT assessed and analyzed the data. WSB drafted the manuscript and JLT critically revised subsequent versions of the paper. Both authors read and approved the final version of the paper.

Acknowledgements

We thank Ms. Julianne van der Berg for her assistance with the study selection process.

No funding was received.

References

  1. Eyeler AA, Matson-Kaffman D, Young DR, Wilcox S, Wilbur J, Thompson JL, Sanderson BK, Evenson KR: Quantitative study of Correlates of physical activity in women from diverse racial/ethnic groups. Women’s Cardiovascular Health Network Project introduction and methodology.

    Am J Prev Med 2003, 25:1-14. PubMed Abstract | Publisher Full Text OpenURL

  2. Eapen D, Kalra GL, Mercharnt N, Arora A, Khan BV: Metabolic syndrome and cardiovascular disease in South Asians.

    Vasc Health Risk Manag 2009, 5:731-743. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  3. Gill JMR, Malkova D: Physical activity, fitness and cardiovascular disease risk in adults: interactions with insulin resistance and obesity.

    Clin Sci 2006, 110:409-425. PubMed Abstract | Publisher Full Text OpenURL

  4. Williams ED, Stamatakis E, Chandola T, Hamer M: Physical activity behaviour and coronary heart disease mortality among South Asian people in the UK: an observational longitudinal study.

    Heart 2010, 97:655-659. PubMed Abstract | Publisher Full Text OpenURL

  5. UK Department of Health:

    Physical activity guideline for adults (19–64 years). 2011, 1. PubMed Abstract | Publisher Full Text OpenURL

  6. US Department of Health and Human Services.

    http://www.health.gov/paguidelines/contact.aspx webcite

    OpenURL

  7. World Health Organization: Global recommendations on physical activity for health. Switzerland: World Health Organization; 2010:1-60. OpenURL

  8. Dogra S, Meisner BA, Adern CI: Variation in mode of physical activity by ethnicity and time since immigration: a cross-sectional analysis.

    Int J Behav Nutr Phys Act 2010, 7:75-85. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  9. Dunnell K: The changing demographic picture of the uk national statistician’s annual article on the population.

    Population Trend. 2007, 130:9-21. OpenURL

  10. Hayes L, White M, Unwin N, Bhopal R, Fishcbacher C, Harland J, Alberti KGMM: 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(3):170-178. Publisher Full Text OpenURL

  11. Hosper K, Deutekom M, Stronks K: The effectiveness of “Exercise of Prescriptio” in stimulating physical activity among women in ethnic minority groups in the Netherlands: protocol for a randomized controlled trial.

    BMC Public Health 2008, 8:406-453. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  12. British Heart Foundation Web site.

    http://www.bhf.org.uk/heart-health/statistics/mortality.aspx webcite

    OpenURL

  13. Banda J, Hutto B, Feeney A, Pfeiffer K, McIver K, Lamonte MJ, Blair SN, Vena J, Hooker SP: Comparing physical activity measures in a diverse group of midlife and older adults.

    Med Sci Sports Exerc 2010, 42:2251-2257. PubMed Abstract | Publisher Full Text OpenURL

  14. Caperchione CM, Kolt GS, Mummer WK: Physical activity in culturally and linguistically diverse migrant groups to Western Society.

    Sports Med 2009, 39:167-177. PubMed Abstract | Publisher Full Text OpenURL

  15. Walseth K: Bridging and bonding social capital in sport- experiences of young women with an immigrant background.

    Sport, Education and Society 2008, 13(1):1-17. Publisher Full Text OpenURL

  16. Critical Appraisal Skills Programme: 10 questions to help you make sense of qualitative research. England: Public Health Resource Unit; 2006. OpenURL

  17. Polgar A, Thomas SA: Chapter 22. In Introduction to Research in the Health Sciences. Melbourne: Churchill Livingstone; 1995:1-2. OpenURL

  18. Thomas J, Harden A, Oakley A, Oliver S: Integrating qualitative research with trials in systematic reviews.

    Br Med J 2004, 328:1010-1012. Publisher Full Text OpenURL

  19. Health Education Authority: Black and ethnic minority groups in England: the second health and lifestyles survey. London: Health Education Authority; 2000:1-6. OpenURL

  20. Hine C, Fenton S, Hughes AO, Velleman G: Coronary heart disease and physical activity in South Asian women: local context and challenges.

    Health Educ J 1995, 54:431-443. Publisher Full Text OpenURL

  21. Jonnalagadda S, Diwan S: Regional variations in dietary intake and body mass index of first-generation Asian-Indian immigrants in the United States.

    J Am Diet Assoc 2002, 102(9):1286-1289. PubMed Abstract | Publisher Full Text OpenURL

  22. Kolt GS, Grant SM, Rush EC, Oliver M, Chadha NK: Body fatness, physical activity, and nutritional behaviours in Asian Indian immigrants to New Zealand.

    Asia Pac J Clin Nutr 2007, 16(4):663-670. PubMed Abstract OpenURL

  23. 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 2006, 21:43-54. PubMed Abstract | Publisher Full Text OpenURL

  24. Lip G, Luscombe C, McCarry M, Malik I, Beevers G: Ethnic differences in public health awareness, health perceptions, and physical exercise: implications for heart disease prevention.

    Ethn Health 1996, 1(1):47-53. PubMed Abstract | Publisher Full Text OpenURL

  25. Mahajan D, Bermingham MA: Risk factors for coronary heart disease in two similar Indian population groups, one residing in India, and the other in Sydney, Australia.

    Eur J Clin Nutr 2004, 58:751-760. PubMed Abstract | Publisher Full Text OpenURL

  26. McKeigue PM, Pierpont T, Ferrie JE, Marmot MG: Relationship of glucose intolerance and hyperinsulinaemia to body fat pattern in South Asians and Europeans.

    Diabetologia 1992, 35:785-791. PubMed Abstract OpenURL

  27. Misra KB, Endemadd SW, Ayer M: Leisure time physical activity and metabolic syndrome in Asian Indian immigrants residing in Northern California.

    Ethnicity & Disease 2005, 15:627-634. PubMed Abstract OpenURL

  28. Misra R, Gupta R: Predictors of health promotion behaviours among Asian Indian immigrants: implications for practitioners.

    Int. J. Sociol. Soc Policy 2004, 24(12):66-86. Publisher Full Text OpenURL

  29. Mohanty SA, Woolhandler S, Himmelstein DU, Bor DH: Diabetes and cardiovascular disease among Asian Indians in the United States.

    J Gen Intern Med 2005, 20:474-478. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  30. O’Laughlin J, Maximova K, Tan Y, Gray-Donald K: Lifestyle risk factors for chronic disease across family origin among adults in multi-ethnic, low-income, urban neighborhoods.

    Ethnicity & Disease 2007, 17:657-663. PubMed Abstract OpenURL

  31. Palaniappan L, Anthony MN, Mahesh C, Elliott M, Killeen A, Giacherio D, Patel JV, Vyas A, Cruickshank JK, Prabhakaran D, Hughes E, Reddy KS: Cardiovascular risk factors in ethnic minority women aged ≤ 30 years.

    Am J Cardiol 2002, 89:524-529. PubMed Abstract | Publisher Full Text OpenURL

  32. Patel JV, Vyas A, Cruickshank JK: Impact of migration on coronary heart disease risk factors: comparison of Gujaratis in Britain and their contemporaries in villages of origin in India.

    Atherosclerosis 2006, 185:297-306. PubMed Abstract | Publisher Full Text OpenURL

  33. Pomerleau J, McKeigue PM, Chaturvedi N: Factors associated with obesity in South Asian, Afro-Caribbean and European women.

    Int J Obesity 1999, 23:25-33. Publisher Full Text OpenURL

  34. Riste L, Khan F, Cruickshank K: High prevalence of type 2 diabetes in all ethnic groups, including Europeans, in a British inner city.

    Diabetes Care 2001, 24(8):1377-1383. PubMed Abstract | Publisher Full Text OpenURL

  35. Sinnapah S, Antoine-Jonville S, Donnet JP, Hue O: Asian Indians of Guadeloupe are less physically active that their island counterparts.

    Scand J Med Sci Sports 2009, 19:222-227. PubMed Abstract | Publisher Full Text OpenURL

  36. Williams ED, Nazroo JY, Kooner JS, Steptoe A: Subgroup differences in psychosocial factors relating to coronary heart disease in the UK South Asian population.

    J. Psychosom. Res 2010, 69:379-387. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  37. Yates T, Davies MJ, Gray LJ: 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, 51:290-294. PubMed Abstract | Publisher Full Text OpenURL

  38. Yates T, Phunti K, Wilmot EG: Self-reported sitting time and markers of inflammation, insulin resistance, and adiposity.

    Am J Prev Med 2012, 42(1):1-7. PubMed Abstract | Publisher Full Text OpenURL

  39. Ye J, Rust G, Baltrus P, Daniels E: Cardiovascular risk factors among Asian Americans: results from a national health survey.

    Ann Epidemiol 2009, 19:718-723. PubMed Abstract | Publisher Full Text OpenURL

  40. Lean MEJ, Han TS, Anderson AS, Bradby H, Williams R: Ethnic differences in athropometric and lifestyle measures related to coronary heart disease risk between South Asian, Italian and general-population British women living in the west of Scotland.

    Int J Obes 2001, 25:1800-1805. Publisher Full Text OpenURL

  41. Rudat K: Black and minority ethnic groups in England. London: Health Education Authority; 1994:1-178. OpenURL

  42. Williams R, Bhopal R, Hunt K: Coronary risk in a British Punjabi population: comparative profile of non-biochemical factors.

    Inter J Epidemiol 1994, 23(1):28-37. Publisher Full Text OpenURL

  43. Minio AM, Xu J, Kochanek KD, Tejada-Vera B: Death in the United States, 2007. NCHS Data Brief. Hyattsville, MD: US Department of Health and Human Services.

    2009, 1-8.

  44. Ridgers ND, Salmon J, Ridley K: Agreement between activPAL and ActiGraph for assessing children’s sedentary time.

    Int. J. Behav. Nutr. Phys. Act 2012, 9:15-22. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  45. Whittemore R, Knafl K: The integrative review: updated methodology.

    J Ad Nursing 2005, 52:546-553. Publisher Full Text OpenURL

  46. 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(2):91-104. PubMed Abstract | Publisher Full Text OpenURL

  47. Galadas PM, Oliffe JL, Kang BK: Punjabi Sikh patients’ perceived barriers to engaging in physical exercise following mycocardial infarction.

    Public Health Nurs 2012, n/a:1-8. OpenURL

  48. Grace CB, Begum R, Subhani S, Kopelman P, Greenlaugh T: Prevention of type 2 diabetes in British Bangladeshis: qualitative study of community, religious, and professional perspectives.

    Br Med J 2008, 337:a1931-a1940. Publisher Full Text OpenURL

  49. Horne M, Speed S, Skelton D, Todd C: What do community-dwelling Caucasian and South Asian 60–70 year olds think about exercise for fall prevention?

    Age Ageing 2009, 38:68-73. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  50. Kalra P, Srinivasan S, Ivey S, Greenlund K: Knowledge and practice: the risk of cardiovascular disease among Asian Indians. Results from focus groups conducted in Asian Indian communities in Northern California.

    Ethn Dis 2004, 14:497-504. PubMed Abstract OpenURL

  51. Mohan S, Wilkes L, Jackson D: Lifestyle of Asian Indians with coronary heart disease: the Australian context.

    Collegian 2008, 15:115-121. PubMed Abstract | Publisher Full Text OpenURL

  52. Siddiqui FR, Ur-Rahman M, Bhatti MA, Mirza I, Shahid A: Knowledge, attitudes and practices to lifestyle risk factors for coronary heart disease(CHD) and diabetes amongst South Asians in North Kirklees, England- A focus group study.

    Pakistan Armed Forces Journal 2008, 3:1-9. OpenURL

  53. Sriskantharajah J, Kai J: Promoting physical activity among South Asian women with coronary heart disease and diabetes: what might help?

    Family Practice 2007, 24(1):71-76. PubMed Abstract | Publisher Full Text OpenURL

  54. Pollard T, Guell C: Assessing physical activity in Muslim women of South Asian origin (forthcoming).

    J. Phys. Act. Health 2011., n/a

    n/a

    OpenURL

  55. Sani MU, Wahab KW, Yusuf BO, Gbadamosi M, Johnson OV, Gbadamosi A: Modifiable cardiovascular risk factors among apparently healthy adult Nigerian population - a cross sectional study.

    BMC Research Notes 2010, 3:1-7. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  56. Swan PD, Byrnes WC, Haymes EM: Energy expenditure of the Caltrac accelerometer for running, race walking, and stepping.

    Br. J. Sports Med 1997, 31(3):235-239. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  57. Evenson KR, Sarmiento OL, Ayala GX: Acculturation and physical activity among North Carolina Latina immigrants.

    Soc Sci Med 2004, 59:2509-2522. PubMed Abstract | Publisher Full Text OpenURL

  58. Farooqi A, Nagra D, Edgar T, Khunti K: Attitudes to lifestyle risk factors for coronary heart disease amongst South Asians in Leicester: a focus group study.

    Fam Pract 2000, 17(4):293-297. PubMed Abstract | Publisher Full Text OpenURL

  59. Ham SA, Ainsworth BE: Disparities in data on healthy people 2010 physical activity objectives collected by accelerometry and self-report.

    Res. Pract 2010, 100:S263-S268. OpenURL

  60. Keyserling TC, Samuel-Hodge CD, Ammerman AS: A randomized trial of an intervention to improve self-care behaviours of African-American women with type 2 diabetes. Impact on physical activity.

    Diabetes Care 2002, 25(9):1576-1583. PubMed Abstract | Publisher Full Text OpenURL

  61. EPPI-Centre: EPPI-Centre methods for conducting systematic reviews. London: EPPI-Centre, Social Science Research Unit, Institute of Education. University of London; 2007:1-18. OpenURL

  62. Cochrane Handbook for Systematic Reviews of Interventions.

    http://www.cochrane-handbook.org webcite

    OpenURL

  63. Fischbacher CM, Hunt S, Alexander L: How physically active are South Asians in the United Kingdom? A literature review.

    J Public Health 2004, 26:250-258. Publisher Full Text OpenURL

  64. Wolin KY, Colditz G, Stoddard AM, Emmonsc KM, Sorensen G: Acculturation and physical activity in a working class multiethnic population.

    Prev Med 2006, 42:266-272. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  65. Strandbu A: Identity, embodied culture and physical exercise: stories from Muslim girls in Oslo with immigrant backgrounds.

    Young 2005, 13:27-45. Publisher Full Text OpenURL

  66. Daniel M, Wilbur J: Physical activity among South Asian Indian immigrants: an integrative review.

    Public Health Nurs 2011, 28:389-401. PubMed Abstract | Publisher Full Text OpenURL

  67. International Physical Activity Questionnaire website.

    http://www.ipaq.ki.se/ipaq.htm webcite

    OpenURL