The Prevalence of Daily Sedentary Time in South Asian Adults: A Systematic Review
Abstract
:1. Introduction
2. Materials and Methods
2.1. Design
2.2. Study Search and Selection
2.3. Data Extraction and Analysis
2.4. Risk of Bias and Study Appraisal
2.5. Synthesis of Results
3. Results
3.1. Study Characteristics
3.2. Study Quality
3.3. Sedentary Time Measurement Methods
3.4. Total Sedentary Time in South Asian Adults
4. Discussion
Limitations of the Study
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Conflicts of Interest
References
- Misra, A.; Khurana, L. Obesity-related non-communicable diseases: South Asians vs. White Caucasians. Int. J. Obes. 2011, 35, 167–187. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- The World Bank Group. The Total Population of South Asian Region. Available online: https://data.worldbank.org/indicator/SP.POP.TOTL.MA.IN?end=2016&locations=8S-BD&start=2016&view=bar&year_high_desc=false (accessed on 10 June 2020).
- International Diabetes Federation. The Prevalence of Diabetes. Available online: https://idf.org/aboutdiabetes/what-is-diabetes/facts-figures.html (accessed on 12 February 2020).
- Hanif, R.W.; Susarla, R. Diabetes and cardiovascular risk in UK South Asians: An overview. Br. J. Cardiol. 2018, 25, S8–S13. [Google Scholar]
- Gholap, N.; Davies, M.; Patel, K.; Sattar, N.; Khunti, K. Type 2 diabetes and cardiovascular disease in South Asians. Prim. Care Diab. 2011, 5, 45–56. [Google Scholar] [CrossRef] [PubMed]
- Karter, A.J.; Schillinger, D.; Adams, A.S.; Moffet, H.H.; Liu, J.; Adler, N.E.; Kanaya, A.M. Elevated rates of diabetes in Pacific Islanders and Asian subgroups: The Diabetes Study of Northern California (DISTANCE). Diab. Care 2013, 36, 574–579. [Google Scholar] [CrossRef] [Green Version]
- Oza-Frank, R.; Ali, M.K.; Vaccarino, V.; Narayan, K.M. Asian Americans: Diabetes prevalence across U.S. and World Health Organization weight classifications. Diab. Care 2009, 32, 1644–1646. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Rana, A.; de Souza, R.J.; Kandasamy, S.; Lear, S.A.; Anand, S.S. Cardiovascular risk among South Asians living in Canada: A systematic review and meta-analysis. CMAJ Open 2014, 2, E183–E191. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Eapen, D.; Kalra, G.L.; Merchant, N.; Arora, A.; Khan, B.V. Metabolic syndrome and cardiovascular disease in South Asians. Vasc. Health Risk Manag. 2009, 5, 731–743. [Google Scholar]
- Fischbacher, C.; Hunt, S.; Alexander, L. How physically active are South Asians in the United Kingdom? A literature review. J. Public Health 2004, 26, 250–258. [Google Scholar] [CrossRef] [Green Version]
- Harding, S. Mortality of migrants from the Indian subcontinent to England and Wales: Effect of duration of residence. Epidemiology 2003, 14, 287–292. [Google Scholar] [CrossRef]
- Chaturvedi, N. Ethnic differences in cardiovascular disease. Heart 2003, 89, 681–686. [Google Scholar] [CrossRef]
- Misra, A.; Shrivastava, U. Obesity and dyslipidemia in South Asians. Nutrients 2013, 5, 2708–2733. [Google Scholar] [CrossRef] [PubMed]
- Barnett, A.H.; Dixon, A.; Bellary, S.; Hanif, M.; O’hare, J.; Raymond, N.; Kumar, S. Type 2 diabetes and cardiovascular risk in the UK south Asian community. Diabetologia 2006, 49, 2234–2246. [Google Scholar] [CrossRef]
- Sattar, N.; Gill, J.M. Type 2 diabetes in migrant south Asians: Mechanisms, mitigation, and management. Lancet Diabetes Endocrinol. 2015, 3, 1004–1016. [Google Scholar] [CrossRef] [Green Version]
- Ahmad, S.; Shanmugasegaram, S.; Walker, K.; Prince, S. Examining sedentary time as a risk factor for cardiometabolic diseases and their markers in South Asian adults: A systematic review. Int. J. Public Health 2017, 62, 503–515. [Google Scholar] [CrossRef]
- Tremblay, M.S.; Aubert, S.; Barnes, J.D.; Saunders, T.J.; Carson, V.; Latimer-Cheung, A.E.; Chastin, S.F.; Altenburg, T.M.; Chinapaw, M.J. Sedentary behavior research network (SBRN)–terminology consensus project process and outcome. Int. J. Behav. Nutr. Phys. Act. 2017, 14, 75. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Bailey, D.P.; Hewson, D.J.; Champion, R.B.; Sayegh, S.M. Sitting time and risk of cardiovascular disease and diabetes: A systematic review and meta-analysis. Am. J. Prev. Med. 2019, 57, 408–416. [Google Scholar] [CrossRef] [PubMed]
- Chau, J.Y.; Grunseit, A.C.; Chey, T.; Stamatakis, E.; Brown, W.J.; Matthews, C.E.; Bauman, A.E.; van der Ploeg, H.P. Daily sitting time and all-cause mortality: A meta-analysis. PLoS ONE 2013, 8, e80000. [Google Scholar] [CrossRef] [Green Version]
- Ekelund, U.; Brown, W.J.; Steene-Johannessen, J.; Fagerland, M.W.; Owen, N.; Powell, K.E.; Bauman, A.E.; Lee, I.M. Do the associations of sedentary behaviour with cardiovascular disease mortality and cancer mortality differ by physical activity level? A systematic review and harmonised meta-analysis of data from 850 060 participants. Br. J. Sports Med. 2019, 53, 886–894. [Google Scholar] [CrossRef]
- Patterson, R.; McNamara, E.; Tainio, M.; de Sá, T.H.; Smith, A.D.; Sharp, S.J.; Edwards, P.; Woodcock, J.; Brage, S.; Wijndaele, K. Sedentary behaviour and risk of all-cause, cardiovascular and cancer mortality, and incident type 2 diabetes: A systematic review and dose response meta-analysis. Eur. J. Epidemiol. 2018, 33, 811–829. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Wilmot, E.G.; Edwardson, C.L.; Achana, F.A.; Davies, M.J.; Gorely, T.; Gray, L.J.; Khunti, K.; Yates, T.; Biddle, S.J. Sedentary time in adults and the association with diabetes, cardiovascular disease, and death: Systematic review and meta-analysis. Diabetologia 2012, 55, 2895–2905. [Google Scholar] [CrossRef] [PubMed]
- Curry, W.B.; Thompson, J.L. Objectively measured physical activity and sedentary time in south Asian women: A cross-sectional study. BMC Public Health 2014, 14, 1269. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- World Health Organisation (WHO). The WHO STEPwise Approach to NCD Risk Factor Surveillance (STEPS). Available online: https://www.who.int/teams/noncommunicable-diseases/surveillance/data (accessed on 1 July 2021).
- Atkin, A.J.; Gorely, T.; Clemes, S.A.; Yates, T.; Edwardson, C.; Brage, S.; Salmon, J.; Marshall, S.J.; Biddle, S.J. Methods of measurement in epidemiology: Sedentary behaviour. Int. J. Epidemiol. 2012, 41, 1460–1471. [Google Scholar] [CrossRef] [Green Version]
- Mahmood, B.; Tang, T.S.; Afshar, R.; Ashe, M.C. Objective measurement of physical activity and sedentary behavior among South Asian adults: A systematic review. PLoS ONE 2020, 15, e0236573. [Google Scholar] [CrossRef] [PubMed]
- Hart, T.L.; Ainsworth, B.E.; Tudor-Locke, C. Objective and subjective measures of sedentary behavior and physical activity. Med. Sci. Sports Exerc. 2011, 43, 449–456. [Google Scholar] [CrossRef]
- Moher, D.; Liberati, A.; Tetzlaff, J.; Altman, D.G. Prisma Group Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Med. 2009, 6, e1000097. [Google Scholar] [CrossRef] [Green Version]
- Biswas, A.; Oh, P.I.; Faulkner, G.E.; Bajaj, R.R.; Silver, M.A.; Mitchell, M.S.; Alter, D.A. Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults: A systematic review and meta-analysis. Ann. Intern. Med. 2015, 162, 123–132. [Google Scholar] [CrossRef]
- Proper, K.I.; Singh, A.S.; Van Mechelen, W.; Chinapaw, M.J. Sedentary behaviors and health outcomes among adults: A systematic review of prospective studies. Am. J. Prev. Med. 2011, 40, 174–182. [Google Scholar] [CrossRef]
- Finch, T. Incremental calculation of weighted mean and variance. Univ. Camb. 2009, 4, 41–42. [Google Scholar]
- Padmapriya, N.; Shen, L.; Soh, S.; Shen, Z.; Kwek, K.; Godfrey, K.M.; Gluckman, P.D.; Chong, Y.; Saw, S.; Müller-Riemenschneider, F. Physical activity and sedentary behavior patterns before and during pregnancy in a multi-ethnic sample of Asian women in Singapore. Matern. Child Health J. 2015, 19, 2523–2535. [Google Scholar] [CrossRef]
- Uijtdewilligen, L.; Yin, J.D.; van der Ploeg, H.P.; Müller-Riemenschneider, F. Correlates of occupational, leisure and total sitting time in working adults: Results from the Singapore multi-ethnic cohort. Int. J. Behav. Nutr. Phys. Act. 2017, 14, 169. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Yates, T.; Khunti, K.; Wilmot, E.G.; Brady, E.; Webb, D.; Srinivasan, B.; Henson, J.; Talbot, D.; Davies, M.J. Self-reported sitting time and markers of inflammation, insulin resistance, and adiposity. Am. J. Prev. Med. 2012, 42, 1–7. [Google Scholar] [CrossRef] [PubMed]
- Andersen, E.; Høstmark, A.T.; Lorentzen, C.; Anderssen, S.A. Low level of objectively measured physical activity and cardiorespiratory fitness, and high prevalence of metabolic syndrome among Pakistani male immigrants in Oslo, Norway. Norsk Epidemiol. 2011, 20. Available online: https://doi.org/10.5324/nje.v20i2.1343 (accessed on 21 July 2020). [CrossRef] [Green Version]
- Biddle, G.J.; Edwardson, C.L.; Rowlands, A.V.; Davies, M.J.; Bodicoat, D.H.; Hardeman, W.; Eborall, H.; Sutton, S.; Griffin, S.; Khunti, K. Differences in objectively measured physical activity and sedentary behaviour between white Europeans and south Asians recruited from primary care: Cross-sectional analysis of the PROPELS trial. BMC Public Health 2019, 19, 95. [Google Scholar] [CrossRef] [Green Version]
- Castaneda-Gameros, D.; Redwood, S.; Thompson, J.L. Physical activity, sedentary time, and frailty in older migrant women from ethnically diverse backgrounds: A mixed-methods study. J. Aging Phys. Act. 2018, 26, 194–203. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Chu, A.H.; Ng, S.H.; Koh, D.; Müller-Riemenschneider, F. Domain-specific adult sedentary behaviour questionnaire (ASBQ) and the GPAQ single-item question: A reliability and validity study in an Asian population. Int. J. Environ. Res. Public Health 2018, 15, 739. [Google Scholar] [CrossRef] [Green Version]
- Emadian, A.; Thompson, J. A mixed-methods examination of physical activity and sedentary time in overweight and obese South Asian men living in the United Kingdom. Int. J. Environ. Res. Public Health 2017, 14, 348. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Gill, J.M.; Bhopal, R.; Douglas, A.; Wallia, S.; Bhopal, R.; Sheikh, A.; Forbes, J.F.; McKnight, J.; Sattar, N.; Murray, G.; et al. Sitting time and waist circumference are associated with glycemia in U.K. South Asians: Data from 1228 adults screened for the PODOSA trial. Diabetes Care 2011, 34, 1214–1218. [Google Scholar] [CrossRef] [Green Version]
- Mathews, E.; Salvo, D.; Sarma, P.S.; Thankappan, K.R.; Pratt, M. Adapting and Validating the Global Physical Activity Questionnaire (GPAQ) for Trivandrum, India, 2013. Prev. Chronic Dis. 2016, 13, E53. [Google Scholar] [CrossRef] [Green Version]
- Mumu, S.J.; Ali, L.; Barnett, A.; Merom, D. Validity of the global physical activity questionnaire (GPAQ) in Bangladesh. BMC Public Health 2017, 17, 650. [Google Scholar] [CrossRef] [Green Version]
- Sullivan, R.; Kinra, S.; Ekelund, U.; AV, B.; Vaz, M.; Kurpad, A.; Collier, T.; Srinath Reddy, K.; Prabhakaran, D.; Ben-Shlomo, Y. Socio-demographic patterning of physical activity across migrant groups in India: Results from the Indian Migration Study. PLoS ONE 2011, 6, e24898. [Google Scholar] [CrossRef] [Green Version]
- Vaingankar, J.A.; Müller-Riemenschneider, F.; Chu, A.H.Y.; Subramaniam, M.; Tan, L.W.L.; Chong, S.A.; van Dam, R.M. Sleep Duration, Sleep Quality and Physical Activity, but Not Sedentary Behaviour, Are Associated with Positive Mental Health in a Multi-Ethnic Asian Population: A Cross-Sectional Evaluation. Int. J. Environ. Res. Public Health 2020, 17, 8489. [Google Scholar] [CrossRef] [PubMed]
- Chastin, S.F.; Schwarz, U.; Skelton, D.A. Development of a consensus taxonomy of sedentary behaviors (SIT): Report of Delphi Round 1. PLoS ONE 2013, 8, e82313. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Peterson, N.E.; Sirard, J.R.; Kulbok, P.A.; DeBoer, M.D.; Erickson, J.M. Validation of accelerometer thresholds and inclinometry for measurement of sedentary behavior in young adult university students. Res. Nurs. Health 2015, 38, 492–499. [Google Scholar] [CrossRef] [PubMed]
- Clemes, S.A.; David, B.M.; Zhao, Y.; Han, X.; Brown, W. Validity of Two Self-Report Measures of Sitting Time. J. Phys. Act. Health 2012, 9, 533–539. [Google Scholar] [CrossRef]
- Chastin, S.; Culhane, B.; Dall, P. Comparison of self-reported measure of sitting time (IPAQ) with objective measurement (activPAL). Physiol. Meas. 2014, 35, 2319. [Google Scholar] [CrossRef] [Green Version]
- Prince, S.A.; Cardilli, L.; Reed, J.L.; Saunders, T.J.; Kite, C.; Douillette, K.; Fournier, K.; Buckley, J.P. A comparison of self-reported and device measured sedentary behaviour in adults: A systematic review and meta-analysis. Int. J. Behav. Nutr. Phys. Act. 2020, 17, 1–17. [Google Scholar] [CrossRef] [PubMed]
- Bennie, J.A.; Chau, J.Y.; van der Ploeg, H.P.; Stamatakis, E.; Do, A.; Bauman, A. The prevalence and correlates of sitting in European adults-a comparison of 32 Eurobarometer-participating countries. Int. J. Behav. Nutri. Phys. Act. 2013, 10, 1–13. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- 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, 276–284. [Google Scholar] [CrossRef]
- Curry, W.B.; Duda, J.L.; Thompson, J.L. Perceived and objectively measured physical activity and sedentary time among South Asian women in the UK. Int. J. Environ. Res. Public Health 2015, 12, 3152–3173. [Google Scholar] [CrossRef] [Green Version]
- Stockwell, S.; Trott, M.; Tully, M.; Shin, J.; Barnett, Y.; Butler, L.; McDermott, D.; Schuch, F.; Smith, L. Changes in physical activity and sedentary behaviours from before to during the COVID-19 pandemic lockdown: A systematic review. BMJ Open Sport Exerc. Med. 2021, 7, e000960. [Google Scholar] [CrossRef]
Criteria a | I, V/P | Studies Meeting Criteria n (%) |
---|---|---|
Study population and participation (baseline) | ||
1. Sufficient description of source population b. | I | 14/14 (100) |
2. Sufficient description of the sampling frame, recruitment methods, period of recruitment, and place of recruitment (setting and geographic location) b. | I | 10/14 (71) |
3. The participation rate at baseline ≥ 80%, or if the non-response was not selective, show that the baseline study sample does not significantly differ from the population of eligible participants. | V/P | 11/14 (79) |
4. Sufficient description of the baseline study sample (i.e., individual participants in the study) for key characteristics (number, age, sex, ethnicity, and sedentary time) c,d. | I | 12/14 (86) |
Data collection | ||
5. Sufficient measurement of sedentary behaviour: completed by objective measures (i.e., accelerometer, inclinometer), and not by self-report questionnaire (self-report = no; no/inadequate information = unknown). | V/P | 8/14 (57) |
6. Sedentary behaviour (total sitting time) was measured in min/day or hours/day. | V/P | 14/14 (100) |
Data analysis | ||
7. Presentation of point estimates and measures of variability (standard deviation, confidential interval, or standard error). | I | 14/14 (100) |
8. No selective reporting of results. | V/P | 14/14 (100) |
Author and Year | Country | Sample Size, Ethnicity, Age and Sex | Study Design | Sedentary Time Measurement Method | Total Mean Daily Sedentary Time (min/day) | Higher or Lower than the Threshold for High Sedentary Time |
---|---|---|---|---|---|---|
(360 min/day) | ||||||
(Patterson et al., 2018) [21] | ||||||
Andersen et al. (2011) [35] | Norway | 150 Pakistanis (either born in Norway or Pakistan) | Cross-sectional study | Accelerometer | 516 ± 96 | |
37 ± 7 years | (worn on the right hip) | |||||
100% male | ||||||
Biddle et al. (2019) [36] | United Kingdom | 289 South Asians | Cross-sectional study | Inclinometer | 516 ± 134 | |
55 ± 11 years | (worn on the midline anterior aspect of the upper thigh) | |||||
43% female | ||||||
Castaneda et al. (2018) [37] | United Kingdom | 25 migrant South Asians | Cross-sectional study | Accelerometer | 532 ± 102 | |
70 ± 8 years | (worn on the hip) | |||||
100% female | ||||||
Chu et al. (2018) [38] | Singapore | 11 Indians | Cross-sectional study | Questionnaire and | 658 ± 170 (questionnaire) | |
20–65 years | Accelerometer | 615 ± 53 (accelerometer) | ||||
69% female | (worn on the waist) | |||||
Curry and Thomson (2014) [23] | United Kingdom | 140 South Asians | Cross-sectional study | Accelerometer | 519 ± 87, born in the UK. | |
(33 born in the UK, 49 born in Bangladesh, and 58 born in Pakistan) | (worn on the waist) | 523 ± 91, born in Bangladesh. | ||||
46 ± 14 years | 539 ± 71, born in Pakistan. | |||||
100% female | ||||||
Emadian and Thompson (2017) [39] | United Kingdom | 54 South Asians (either born in the UK or migrants from Bangladesh, India, and Pakistan) | Cross-sectional study | Accelerometer | 551 ± 95 | |
44 ± 9 years | (worn on the right hip) | |||||
100% male | ||||||
Gill et al. (2011) [40] | United Kingdom | 1228 South Asians | Cross-sectional study | Questionnaire | 345 ± 17 | |
(Indian and Pakistani) | ||||||
49 ± 10 years | ||||||
523 males and 705 females | ||||||
Mathews et al. (2013) [41] | India | 47 Indians | Cross-sectional study | Accelerometer | 519 ± 115 | |
46 ± 3 years | (worn on the right hip) | |||||
100% female | ||||||
Mumu et al. (2017) [42] | Bangladesh | 155 Bangladeshis | Cross-sectional study | Accelerometer | 551 ± 83 | |
35 ± 9 years | (worn on the waist level above the left hip) | |||||
54% females | ||||||
Padmapriya et al. (2015) [32] | Singapore | 209 Indians | Cohort study (prospective) | Questionnaire | 431 ± 193 | |
≥18 years | ||||||
100% female | ||||||
Sullivan et al. (2011) [43] | India | 6447 Indians | Cross-sectional study | Questionnaire | 475 ± 165 for male | |
41 ± 0.2 | 474 ± 161 for female | |||||
3768 males and 2679 females | ||||||
Uijtdewilligen et al. (2017) [33] | Singapore | 2385 Indians | Cohort study (prospective) | Questionnaire | 303 ± 158 | |
≥21 years | ||||||
54% male | ||||||
Vaingankar et al. (2020) [44] | Singapore | 366 Indians | Cross-sectional study | Questionnaire | 345 ± 194 | |
40 ± 14 years | ||||||
Males and females | ||||||
Yates et al. (2012) [34] | United Kingdom | 97 South Asians | Cohort study (prospective) | Questionnaire | 402 ± 468 | |
59 ± 10 years | ||||||
52 males and 45 females |
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Dey, K.C.; Zakrzewski-Fruer, J.K.; Smith, L.R.; Jones, R.L.; Bailey, D.P. The Prevalence of Daily Sedentary Time in South Asian Adults: A Systematic Review. Int. J. Environ. Res. Public Health 2021, 18, 9275. https://doi.org/10.3390/ijerph18179275
Dey KC, Zakrzewski-Fruer JK, Smith LR, Jones RL, Bailey DP. The Prevalence of Daily Sedentary Time in South Asian Adults: A Systematic Review. International Journal of Environmental Research and Public Health. 2021; 18(17):9275. https://doi.org/10.3390/ijerph18179275
Chicago/Turabian StyleDey, Kamalesh C., Julia K. Zakrzewski-Fruer, Lindsey R. Smith, Rebecca L. Jones, and Daniel P. Bailey. 2021. "The Prevalence of Daily Sedentary Time in South Asian Adults: A Systematic Review" International Journal of Environmental Research and Public Health 18, no. 17: 9275. https://doi.org/10.3390/ijerph18179275