Korean J Sports Med.  2022 Sep;40(3):189-196. 10.5763/kjsm.2022.40.3.189.

Accelerometer and Self-reported Sedentary Time Related to Metabolic Syndrome

• Lim J
• Sung H
• Kim JS
• Kim G
• Kim J
• Kim Y

• KMID: 2532896
• DOI: http://doi.org/10.5763/kjsm.2022.40.3.189

Abstract

Purpose
The main purpose of this study was to examine the relationship between sedentary time and metabolic syndrome. Association of accelerometer and self-reported sedentary time on metabolic syndrome were also compared.
Methods
A total of 1,354 adults (men, 492; women, 862), aged 19 to 65 years, who wore the accelerometer from the Korea National Health and Nutrition Examination Survey were included in the analysis. Four subgroups were created based on quartiles of daily sedentary time for analytical purposes. Metabolic syndrome was defined according to the International Diabetes Federation. Logistic regression was used to predict the odds ratio (OR), and 95% confidence interval (CI) of the relationship between sedentary time and metabolic syndrome after adjusting for sex, age, education level, family income, smoking, alcohol consumption, body mass index, and accelerometer wear time.
Results
Accelerometer measured sedentary time displayed stronger associations with the metabolic syndrome than did self-reported sedentary time. When controlling for covariates, participants in the fourth quartile of the accelerometer measured sedentary time predicted the highest odds of having metabolic syndrome (OR, 1.99; 95% CI, 1.18– 3.34). However, participants in the second quartile only of self-reported sedentary time predicted the odds of having metabolic syndrome (OR, 1.60; 95% CI, 1.01– 2.52).
Conclusion
Sedentary time was related to metabolic syndrome. This relationship tended to be more consistent and stronger for accelerometer measured sedentary time than for self-report. Current results suggest that reducing daily sedentary time may help prevent metabolic syndrome.

Keyword

Sedentary behavior; Metabolic syndrome; Accelerometry; Self-report

Figure

• 

  Fig. 1 Flow diagram of study participants. MS: metabolic syndrome.

Reference

1. Zhang F, Liu L, Zhang C, Ji S, Mei Z, Li T. 2021; Association of Metabolic Syndrome and its components with risk of stroke recurrence and mortality: a meta-analysis. Neurology. 97:e695–e705. DOI: 10.1212/WNL.0000000000012415. PMID: 34321360.

2. Mottillo S, Filion KB, Genest J, et al. 2010; The metabolic syndrome and cardiovascular risk a systematic review and meta-analysis. J Am Coll Cardiol. 56:1113–32. DOI: 10.1016/j.jacc.2010.05.034. PMID: 20863953.

3. Eckel RH, Grundy SM, Zimmet PZ. 2005; The metabolic syndrome. Lancet. 365:1415–28. DOI: 10.1016/S0140-6736(05)66378-7.

4. Borch-Johnsen K. 2007; The metabolic syndrome in a global perspective: the public health impact--secondary publication. Dan Med Bull. 54:157–9.

5. Huh JH, Kang DR, Jang JY, et al. 2018; Metabolic syndrome epidemic among Korean adults: Korean survey of cardio-metabolic syndrome (2018). Atherosclerosis. 277:47–52. DOI: 10.1016/j.atherosclerosis.2018.08.003. PMID: 30172084.

6. Edwardson CL, Gorely T, Davies MJ, et al. 2012; Association of sedentary behaviour with metabolic syndrome: a meta-analysis. PLoS One. 7:e34916. DOI: 10.1371/journal.pone.0034916. PMID: 22514690. PMCID: PMC3325927.

7. Ford ES, Kohl HW 3rd, Mokdad AH, Ajani UA. 2005; Sedentary behavior, physical activity, and the metabolic syndrome among U.S. adults. Obes Res. 13:608–14. DOI: 10.1038/oby.2005.65. PMID: 15833947.

8. Sallis JF, Saelens BE. 2000; Assessment of physical activity by self-report: status, limitations, and future directions. Res Q Exerc Sport. 71(2 Suppl):S1–14. DOI: 10.1080/02701367.2000.11082780. PMID: 25680007.

9. Lee IM, Shiroma EJ, Evenson KR, Kamada M, LaCroix AZ, Buring JE. 2018; Using devices to assess physical activity and sedentary behavior in a large cohort study, the women's health study. J Meas Phys Behav. 1:60–9. DOI: 10.1123/jmpb.2018-0005. PMID: 30666321. PMCID: PMC6338453.

10. Lim J, Sung H, Lee O, Kim Y. Physical activity in South Korea measured by accelerometer: The Korea National Health and Nutrition Examination Survey VI 2014-2015. Korean J Sport Sci. 2020; 31:169–79. DOI: 10.24985/kjss.2020.31.2.169.

11. Sung H, Lim J, Mun J, Kim Y. Objective versus self-reported physical activity and cardiovascular disease risk factors. Korean J Sports Med. 2020; 38:28–36. DOI: 10.5763/kjsm.2020.38.1.28.

12. Korea Centers for Disease Control and Prevention (KCDC). KNHANES regulation for using of raw data 6th (2013-2015) [Internet]. Available from: https://knhanes.kdca.go.kr/knhanes/sub03/sub03_06_02.do. Cheongju: KCDC;2015.

13. Troiano RP, Berrigan D, Dodd KW, Mâsse LC, Tilert T, McDowell M. 2008; Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 40:181–8. DOI: 10.1249/mss.0b013e31815a51b3. PMID: 18091006.

14. World Health Organization (WHO). Global physical activity questionnaire (GPAQ) analysis guide. Available from: https://www.academia.edu/32922327/Global_Physical_Activity_Questionnaire_Analysis_Guide_Surveillance_and_Population_Based_Prevention_Prevention_of_Noncommunicable_Diseases_Department_World_Health_Organization. Geneva: WHO;2010.

15. Alberti KG, Eckel RH, Grundy SM, et al. 2009; Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation task force on epidemiology and prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 120:1640–5. DOI: 10.1161/CIRCULATIONAHA.109.192644. PMID: 19805654.

16. Lee SY, Park HS, Kim DJ, et al. 2007; Appropriate waist circumference cutoff points for central obesity in Korean adults. Diabetes Res Clin Pract. 75:72–80. DOI: 10.1016/j.diabres.2006.04.013. PMID: 16735075.

17. Jo H, Kim JY, Jung MY, Ahn YS, Chang SJ, Koh SB. 2020; Leisure time physical activity to reduce metabolic syndrome risk: a 10-year community-based prospective study in Korea. Yonsei Med J. 61:218–28. DOI: 10.3349/ymj.2020.61.3.218. PMID: 32102122. PMCID: PMC7044689.

18. Liu SH, Waring ME, Eaton CB, Lapane KL. 2015; Association of objectively measured physical activity and metabolic syndrome among US adults with osteoarthritis. Arthritis Care Res (Hoboken). 67:1371–8. DOI: 10.1002/acr.22587. PMID: 25777463. PMCID: PMC4573382.

19. Tucker JM, Welk GJ, Beyler NK, Kim Y. 2016; Associations between physical activity and metabolic syndrome: comparison between self-report and accelerometry. Am J Health Promot. 30:155–62. DOI: 10.4278/ajhp.121127-QUAN-576. PMID: 25806568.

20. Lemes IR, Sui X, Fernandes RA, et al. 2019; Association of sedentary behavior and metabolic syndrome. Public Health. 167:96–102. DOI: 10.1016/j.puhe.2018.11.007. PMID: 30648643.

21. Healy GN, Matthews CE, Dunstan DW, Winkler EA, Owen N. 2011; Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003-06. Eur Heart J. 32:590–7. DOI: 10.1093/eurheartj/ehq451. PMID: 21224291. PMCID: PMC3634159.

22. Kim H, Kang M. e2322; Sedentary behavior and metabolic syndrome in physically active adults: National Health and Nutrition Examination Survey 2003-2006. Am J Hum Biol 2019:. e23225. DOI: 10.1002/ajhb.23225. PMID: 30734446.

23. Kim J, Tanabe K, Yokoyama N, Zempo H, Kuno S. 2013; Objectively measured light-intensity lifestyle activity and sedentary time are independently associated with metabolic syndrome: a cross-sectional study of Japanese adults. Int J Behav Nutr Phys Act. 10:30. DOI: 10.1186/1479-5868-10-30. PMID: 23452372. PMCID: PMC3599104.

24. León-Latre M, Moreno-Franco B, Andrés-Esteban EM, et al. 2014; Sedentary lifestyle and its relation to cardiovascular risk factors, insulin resistance and inflammatory profile. Rev Esp Cardiol (Engl Ed). 67:449–55. DOI: 10.1016/j.rec.2013.10.015. PMID: 24863593.

25. Altenburg TM, Lakerveld J, Bot SD, Nijpels G, Chinapaw MJ. 2014; The prospective relationship between sedentary time and cardiometabolic health in adults at increased cardiometabolic risk: the Hoorn Prevention Study. Int J Behav Nutr Phys Act. 11:90. DOI: 10.1186/s12966-014-0090-3. PMID: 25027974. PMCID: PMC4132212.

26. Carter S, Hartman Y, Holder S, Thijssen DH, Hopkins ND. 2017; Sedentary behavior and cardiovascular disease risk: mediating mechanisms. Exerc Sport Sci Rev. 45:80–6. DOI: 10.1249/JES.0000000000000106. PMID: 28118158.

27. Lynch BM. 2010; Sedentary behavior and cancer: a systematic review of the literature and proposed biological mechanisms. Cancer Epidemiol Biomarkers Prev. 19:2691–709. DOI: 10.1158/1055-9965.EPI-10-0815. PMID: 20833969.

28. Bey L, Hamilton MT. 2003; Suppression of skeletal muscle lipoprotein lipase activity during physical inactivity: a molecular reason to maintain daily low-intensity activity. J Physiol. 551(Pt 2):673–82. DOI: 10.1113/jphysiol.2003.045591. PMID: 12815182. PMCID: PMC2343229.

29. Miranda PJ, DeFronzo RA, Califf RM, Guyton JR. 2005; Metabolic syndrome: definition, pathophysiology, and mechanisms. Am Heart J. 149:33–45. DOI: 10.1016/j.ahj.2004.07.013. PMID: 15660032.

30. Hamilton MT, Hamilton DG, Zderic TW. 2007; Role of low energy expenditure and sitting in obesity, metabolic syndrome, type 2 diabetes, and cardiovascular disease. Diabetes. 56:2655–67. DOI: 10.2337/db07-0882. PMID: 17827399.