The Global Prevalence of Sedentary Time in Diabetes and Metabolic Syndrome: A Systematic Review and Meta-Analysis
Abstract
Background: We aimed to determine the prevalence of sedentary time in diabetes and metabolic syndrome worldwide via a systematic review and meta-analysis study.
Methods: This study was conducted using the systematic review method following PRISMA 2020 criteria. Searches were conducted in PubMed, Scopus, ScienceDirect, Web of Science, and Google Scholar from January 2000 to December 2022. The heterogeneity of studies was measured using the I2 test.
Results: The prevalence of sedentary time in diabetic patients was 52.3% (CI 95 %:46.2-58.2) and the prevalence of sedentary time in metabolic syndrome was 43.3% (95% CI: 31- 56.5). Also, the results of subgroup analysis show that the prevalence of inactivity in diabetic women was 60.3% higher than that of diabetic men. The prevalence of inactivity in patients with metabolic syndrome was 28.6% in men and women, respectively.
Conclusion: Sedentary time has a very high prevalence in metabolic syndrome and diabetic patients. In other words, almost half of these patients experience their life patterns. Therefore, effective and efficient efforts to improve activity and exercise in patients with diabetes and metabolic syndrome will have a more effective therapeutic effect and improve their quality of life.
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12. Krishnan S, Rosenberg L, Palmer JR (2009). Physical ac-tivity and television watching in relation to risk of type 2 diabetes: The Black Women's Health Study. Am J Epidemiol, 169(4):428-34.
13. Owen N, Healy GN, Matthews CE, et al (2010). Too much sitting: the population-health science of sed-entary behavior. Exerc Sport Sci Rev, 38(3):105-13.
14. Biswas A, Oh PI, Faulkner GE, et al (2015). Sedentary time and its association with risk for disease inci-dence, mortality, and hospitalization in adults: a sys-tematic review and meta-analysis. Ann Intern Med, 162(2):123-32.
15. Proper KI, Singh AS, Van Mechelen W, et al (2011). Sedentary behaviors and health outcomes among adults: a systematic review of prospective studies. Am J Prev Med, 40(2):174-82.
16. Van Uffelen JG, Wong J, Chau JY, et al (2010). Occupa-tional sitting and health risks: a systematic review. Am J Prev Med, 39(4):379-88.
17. Lynch BM (2010). Sedentary behavior and cancer: a sys-tematic review of the literature and proposed bio-logical mechanisms. Cancer Epidemiol Biomarkers Prev, 19(11):2691-709.
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19. Deedwania PC, Gupta R, Sharma KK, et al (2014). High prevalence of metabolic syndrome among urban subjects in India: A multisite study. Diabetes Metab Syndr, 8(3):156-61.
20. Gupta R, Deedwania PC, Gupta A, et al (2004). Preva-lence of metabolic syndrome in an Indian urban population. Int J Cardiol, 97(2):257-61.
21. Negi PC, Sondhi S, Merwaha R, et al (2019). Prevalence and risk determinants of metabolic syndrome in obese worksite workers in hill city of Himachal Pradesh, India. Indian Heart J, 71(1):45-51.
22. Ravikiran M, Bhansali A, RaviKumar P, et al (2010). Prevalence and risk factors of metabolic syndrome among Asian Indians: A community survey. Diabetes Res Clin Pract, 89(2):181-8.
23. Ahmed SJ, Siddique MA, Barua A, Saikia H (2017). Risk factors of diabetes mellitus amongst the executives of an industrial area of North East India: A com-munity based cross sectional study. Diabetes Metab Syndr, 11 Suppl 1:S87-S90.
24. Das E, Das S, Kar S, et al (2017). Prevalence and risk fac-tors of pre-diabetes and diabetes among patients with active TB disease attending three RNTCP cen-tres in Odisha. Int J Diabetes Dev Ctries, 37:141–147.
25. Bertoglia MP, Gormaz JG, Libuy M, et al (2017). The population impact of obesity, sedentary lifestyle, and tobacco and alcohol consumption on the prevalence of type 2 diabetes: Analysis of a health population survey in Chile, 2010. PLoS One, 12(5): e0178092.
26. Vibha SP, Kulkarni MM, Ballala ABK, et al (2018). Community based study to assess the prevalence of diabetic foot syndrome and associated risk factors among people with diabetes mellitus. BMC Endocr Disord, 18(1):43.
27. Vamos EP, Kopp MS, Keszei A, et al (2008). Prevalence of diabetes in a large, nationally representative pop-ulation sample in Hungary. Diabetes Res Clin Pract, 81(3): e5-e8.
28. Simeni Njonnou SR, Boombhi J, Etoa Etoga MC, et al (2020). Prevalence of Diabetes and Associated Risk Factors among a Group of Prisoners in the Ya-oundé Central Prison. J Diabetes Res, 2020:5016327.
29. Regassa LD, Tola A, Ayele Y (2021). Prevalence of Car-diovascular Disease and Associated Factors Among Type 2 Diabetes Patients in Selected Hos-pitals of Harari Region, Eastern Ethiopia. Front Public Health, 8:532719.
30. Pramono LA, Setiati S, Soewondo P, et al (2010). Preva-lence and predictors of undiagnosed diabetes mellitus in Indonesia. Acta Med Indones, 42(4):216-23.
31. Okwechime IO, Roberson S, Odoi A (2015). Preva-lence and Predictors of Pre-Diabetes and Diabetes among Adults 18 Years or Older in Florida: A Mul-tinomial Logistic Modeling Approach. PLoS One, 10(12): e0145781.
32. Msopa E, Mwanakasale V (2019). Identification of risk factors of diabetes mellitus in bank employees of selected banks in Ndola town. Diabetes Metab Syndr,13(2):1497-1504.
33. Flor LS, Campos MR (2017). The prevalence of diabe-tes mellitus and its associated factors in the Brazilian adult population: Evidence from a population-based survey. Rev Bras Epidemiol, 20(1):16-29.
34. Geulayov G, Goral A, Muhsen K, et al (2010). Physical inactivity among adults with diabetes mellitus and depressive symptoms: results from two independ-ent national health surveys. Gen Hosp Psychiatry, 32(6):570-6.
35. Hu FB, Li TY, Colditz GA et al (2003). Television watch-ing and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. JAMA, 289(14):1785-91.
36. Hu FB, Leitzmann MF, Stampfer MJ, et al (2001). Physi-cal activity and television watching in relation to risk for type 2 diabetes mellitus in men. Arch Intern Med, 161(12):1542-8.
37. Hamburg NM, McMackin CJ, Huang AL, et al (2007). Physical inactivity rapidly induces insulin resistance and microvascular dysfunction in healthy volun-teers. Arterioscler Thromb Vasc Biol, 27(12):2650-6.
38. Yanagibori R, Kondo K, Suzuki Y, et al (1998). Effect of 20 days' bed rest on the reverse cholesterol transport system in healthy young subjects. J Intern Med, 243(4):307-12.
2. Grundy SM (2008). Metabolic syndrome pandemic. Ar-terioscler Thromb Vasc Biol, 28(4):629-36.
3. Saklayen MG (2018). The Global Epidemic of the Metabolic Syndrome. Curr Hypertens Rep, 20(2):12.
4. Huang PL (2009). A comprehensive definition for met-abolic syndrome. Dis Model Mech, 2(5-6):231-7.
5. Mohammadi M, Vaisi Raiegani AA, Jalali R, et al (2019). The prevalence of retinopathy among type 2 dia-betic patients in Iran: A systematic review and meta-analysis. Rev Endocr Metab Disord, 20(1):79-88.
6. Mozaffarian D, Kamineni A, Carnethon M, et al (2009). Lifestyle risk factors and new-onset diabetes mellitus in older adults: the cardiovascular health study. Arch Intern Med, 169(8):798-807.
7. Cameron AJ, Shaw JE, Zimmet PZ (2004). The meta-bolic syndrome: prevalence in worldwide popula-tions. Endocrinol Metab Clin North Am, 33(2):351-75.
8. Eckel RH, Grundy SM, Zimmet PZ (2005). The meta-bolic syndrome. Lancet, 365(9468):1415-28.
9. Karaa A, Goldstein A (2015). The spectrum of clinical presentation, diagnosis, and management of mito-chondrial forms of diabetes. Pediatr Diabetes, 16(1):1-9.
10. Ford ES, Schulze MB, Kroeger J, et al (2010). Television watching and incident diabetes: findings from the European Perspective Investigation into Cancer and Nutrition–Potsdam Study. J Diabetes, 2(1):23-7.
11. Hu FB, Leitzmann MF, Stampfer MJ, et al (2001). Physi-cal activity and television watching in relation to risk for type 2 diabetes mellitus in men. Arch Intern Med,161(12):1542-8.
12. Krishnan S, Rosenberg L, Palmer JR (2009). Physical ac-tivity and television watching in relation to risk of type 2 diabetes: The Black Women's Health Study. Am J Epidemiol, 169(4):428-34.
13. Owen N, Healy GN, Matthews CE, et al (2010). Too much sitting: the population-health science of sed-entary behavior. Exerc Sport Sci Rev, 38(3):105-13.
14. Biswas A, Oh PI, Faulkner GE, et al (2015). Sedentary time and its association with risk for disease inci-dence, mortality, and hospitalization in adults: a sys-tematic review and meta-analysis. Ann Intern Med, 162(2):123-32.
15. Proper KI, Singh AS, Van Mechelen W, et al (2011). Sedentary behaviors and health outcomes among adults: a systematic review of prospective studies. Am J Prev Med, 40(2):174-82.
16. Van Uffelen JG, Wong J, Chau JY, et al (2010). Occupa-tional sitting and health risks: a systematic review. Am J Prev Med, 39(4):379-88.
17. Lynch BM (2010). Sedentary behavior and cancer: a sys-tematic review of the literature and proposed bio-logical mechanisms. Cancer Epidemiol Biomarkers Prev, 19(11):2691-709.
18. Cherry CO, Serieux E, Didier M, et al (2014). Prevalence of risk factors for the metabolic syndrome in the middle-income Caribbean nation of st. Lucia. Adv Prev Med, 2014:501972.
19. Deedwania PC, Gupta R, Sharma KK, et al (2014). High prevalence of metabolic syndrome among urban subjects in India: A multisite study. Diabetes Metab Syndr, 8(3):156-61.
20. Gupta R, Deedwania PC, Gupta A, et al (2004). Preva-lence of metabolic syndrome in an Indian urban population. Int J Cardiol, 97(2):257-61.
21. Negi PC, Sondhi S, Merwaha R, et al (2019). Prevalence and risk determinants of metabolic syndrome in obese worksite workers in hill city of Himachal Pradesh, India. Indian Heart J, 71(1):45-51.
22. Ravikiran M, Bhansali A, RaviKumar P, et al (2010). Prevalence and risk factors of metabolic syndrome among Asian Indians: A community survey. Diabetes Res Clin Pract, 89(2):181-8.
23. Ahmed SJ, Siddique MA, Barua A, Saikia H (2017). Risk factors of diabetes mellitus amongst the executives of an industrial area of North East India: A com-munity based cross sectional study. Diabetes Metab Syndr, 11 Suppl 1:S87-S90.
24. Das E, Das S, Kar S, et al (2017). Prevalence and risk fac-tors of pre-diabetes and diabetes among patients with active TB disease attending three RNTCP cen-tres in Odisha. Int J Diabetes Dev Ctries, 37:141–147.
25. Bertoglia MP, Gormaz JG, Libuy M, et al (2017). The population impact of obesity, sedentary lifestyle, and tobacco and alcohol consumption on the prevalence of type 2 diabetes: Analysis of a health population survey in Chile, 2010. PLoS One, 12(5): e0178092.
26. Vibha SP, Kulkarni MM, Ballala ABK, et al (2018). Community based study to assess the prevalence of diabetic foot syndrome and associated risk factors among people with diabetes mellitus. BMC Endocr Disord, 18(1):43.
27. Vamos EP, Kopp MS, Keszei A, et al (2008). Prevalence of diabetes in a large, nationally representative pop-ulation sample in Hungary. Diabetes Res Clin Pract, 81(3): e5-e8.
28. Simeni Njonnou SR, Boombhi J, Etoa Etoga MC, et al (2020). Prevalence of Diabetes and Associated Risk Factors among a Group of Prisoners in the Ya-oundé Central Prison. J Diabetes Res, 2020:5016327.
29. Regassa LD, Tola A, Ayele Y (2021). Prevalence of Car-diovascular Disease and Associated Factors Among Type 2 Diabetes Patients in Selected Hos-pitals of Harari Region, Eastern Ethiopia. Front Public Health, 8:532719.
30. Pramono LA, Setiati S, Soewondo P, et al (2010). Preva-lence and predictors of undiagnosed diabetes mellitus in Indonesia. Acta Med Indones, 42(4):216-23.
31. Okwechime IO, Roberson S, Odoi A (2015). Preva-lence and Predictors of Pre-Diabetes and Diabetes among Adults 18 Years or Older in Florida: A Mul-tinomial Logistic Modeling Approach. PLoS One, 10(12): e0145781.
32. Msopa E, Mwanakasale V (2019). Identification of risk factors of diabetes mellitus in bank employees of selected banks in Ndola town. Diabetes Metab Syndr,13(2):1497-1504.
33. Flor LS, Campos MR (2017). The prevalence of diabe-tes mellitus and its associated factors in the Brazilian adult population: Evidence from a population-based survey. Rev Bras Epidemiol, 20(1):16-29.
34. Geulayov G, Goral A, Muhsen K, et al (2010). Physical inactivity among adults with diabetes mellitus and depressive symptoms: results from two independ-ent national health surveys. Gen Hosp Psychiatry, 32(6):570-6.
35. Hu FB, Li TY, Colditz GA et al (2003). Television watch-ing and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. JAMA, 289(14):1785-91.
36. Hu FB, Leitzmann MF, Stampfer MJ, et al (2001). Physi-cal activity and television watching in relation to risk for type 2 diabetes mellitus in men. Arch Intern Med, 161(12):1542-8.
37. Hamburg NM, McMackin CJ, Huang AL, et al (2007). Physical inactivity rapidly induces insulin resistance and microvascular dysfunction in healthy volun-teers. Arterioscler Thromb Vasc Biol, 27(12):2650-6.
38. Yanagibori R, Kondo K, Suzuki Y, et al (1998). Effect of 20 days' bed rest on the reverse cholesterol transport system in healthy young subjects. J Intern Med, 243(4):307-12.
| Files | ||
| Issue | Vol 53 No 9 (2024) | |
| Section | Review Article(s) | |
| DOI | https://doi.org/10.18502/ijph.v53i9.16455 | |
| Keywords | ||
| Sedentary time Diabetes Metabolic syndrome Physical inactivity | ||
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How to Cite
1.
Salari N, Ahmadi M, Ghasemi H, Yarani R, Mohammadi M. The Global Prevalence of Sedentary Time in Diabetes and Metabolic Syndrome: A Systematic Review and Meta-Analysis. Iran J Public Health. 2024;53(9):2020-2029.
