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Dynamic changes in clinical biomarkers of cardiometabolic diseases by changes in exercise behavior, and network comparisons: a community-based prospective cohort study in Korea

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OBJECTIVES: Lifestyles, including exercise behaviors, change continually over time. This study examined whether the clinical biomarkers (CBs) related to cardiometabolic diseases (CMDs) and their relationships differed with changes in exercise behavior. METHODS: The Ansan-Ansung cohort study (third to fifth phases; n=2,668) was used in the current study. Regular exercise behavior was investigated using a yes/no questionnaire. Changes in exercise behavior were classified into 4 groups: Y-N, N-Y, Y-Y, and N-N, with “Y” indicating that a participant regularly engaged in exercise at a given time point and “N” indicating that he or she did not. Fourteen CBs related to CMDs were used, and the associations between changes in exercise behavior and relative changes in CBs were examined. CB networks were constructed and topological comparisons were conducted. RESULTS: Y-N was associated with increases in fasting blood sugar and insulin levels in men, and increased total cholesterol and low-density lipoprotein cholesterol levels in women. Meanwhile, N-Y was inversely associated with body fat percentage, visceral fat percentage, fasting insulin, and triglyceride level. Waist circumference played a central role in most networks. In men, more edges were found in the N-Y and Y-Y groups than in the N-N and Y-N groups, whereas women in the N-Y and Y-Y groups had more edges than those in the N-N and Y-N groups. CONCLUSIONS: Consistent exercise or starting to engage in regular exercise had favorable effects on CBs related to CMDs, although their network patterns differed between the sexes.

Abstract

OBJECTIVES: Lifestyles, including exercise behaviors, change continually over time. This study examined whether the clinical biomarkers (CBs) related to cardiometabolic diseases (CMDs) and their relationships differed with changes in exercise behavior. METHODS: The Ansan-Ansung cohort study (third to fifth phases; n=2,668) was used in the current study. Regular exercise behavior was investigated using a yes/no questionnaire. Changes in exercise behavior were classified into 4 groups: Y-N, N-Y, Y-Y, and N-N, with “Y” indicating that a participant regularly engaged in exercise at a given time point and “N” indicating that he or she did not. Fourteen CBs related to CMDs were used, and the associations between changes in exercise behavior and relative changes in CBs were examined. CB networks were constructed and topological comparisons were conducted. RESULTS: Y-N was associated with increases in fasting blood sugar and insulin levels in men, and increased total cholesterol and low-density lipoprotein cholesterol levels in women. Meanwhile, N-Y was inversely associated with body fat percentage, visceral fat percentage, fasting insulin, and triglyceride level. Waist circumference played a central role in most networks. In men, more edges were found in the N-Y and Y-Y groups than in the N-N and Y-N groups, whereas women in the N-Y and Y-Y groups had more edges than those in the N-N and Y-N groups. CONCLUSIONS: Consistent exercise or starting to engage in regular exercise had favorable effects on CBs related to CMDs, although their network patterns differed between the sexes.

참고문헌 (32)

  1. Pescatello LS, "Physical activity mediates a healthier body weight in the presence of obesity", Br J Sports Med, 34, pp.86~93 (2000)
  2. Warburton DE, "Health benefits of physical activity : the evidence", CMAJ, 174, pp.801~809 (2006)
  3. Blair SN, "Physical inactivity : the biggest public health problem of the 21st century", Br J Sports Med, 43, pp.1~2 (2009)
  4. Warburton DE, "Health benefits of physical activity : a systematic review of current systematic reviews", Curr Opin Cardiol, 32, pp.541~556 (2017)
  5. Blair SN, "Changes in physical fitness and all-cause mortality. A prospective study of healthy and unhealthy men", JAMA, 273, pp.1093~1098 (1995)
  6. Byberg L, "Total mortality after changes in leisure time physical activity in 50 year old men : 35 year follow-up of population based cohort", BMJ, 338, pp.b688~ (2009)
  7. Gregg EW, "Relationship of changes in physical activity and mortality among older women", JAMA, 289, pp.2379~2386 (2003)
  8. Yang X, "The longitudinal effects of physical activity history on metabolic syndrome", Med Sci Sports Exerc, 40, pp.1424~1431 (2008)
  9. Werneck AO, "Self-initiated changes in physical activity and incidence of metabolic syndrome : a longitudinal follow-up study", Diabetes Res Clin Pract, 165, pp.108224~ (2020)
  10. Thune I, "Physical activity improves the metabolic risk profiles in men and women : the Tromsø Study", Arch Intern Med, 158, pp.1633~1640 (1998)
  11. Byberg L, "Changes in physical activity are associated with changes in metabolic cardiovascular risk factors", Diabetologia, 44, pp.2134~2139 (2001)
  12. Balkau B, "The impact of 3-year changes in lifestyle habits on metabolic syndrome parameters : the D. E. S. I. R study", Eur J Cardiovasc Prev Rehabil, 13, pp.334~340 (2006)
  13. Aadahl M, "Five-year change in physical activity is associated with changes in cardiovascular disease risk factors : the Inter99 study", Prev Med, 48, pp.326~331 (2009)
  14. Kim Y, "Cohort profile: the Korean Genome and Epidemiology Study (KoGES) consortium", Int J Epidemiol, 46, pp.e20~ (2017)
  15. 김성호, "ppcor: An R Package for a Fast Calculation to Semi-partial Correlation Coefficients", Communications for Statistical Applications and Methods, 22(6), pp.665~674 (2015), 한국통계학회
  16. Shannon P, "Cytoscape : a software environment for integrated models of biomolecular interaction networks", Genome Res, 13, pp.2498~2504 (2003)
  17. Al Kubaisy W, "Gender differences : motivations for performing physical exercise among adults in Shah Alam", Procedia Soc Behav Sci, 202, pp.522~530 (2015)
  18. Beth Hands, "Male and Female Differences in Health Benefits Derived from Physical Activity: Implications for Exercise Prescription", Journal of Womens Health, Issues and Care, 5(4) (2016), OMICS Publishing Group[DOI]
  19. Chalabaev A, "The influence of sex stereotypes and gender roles on participation and performance in sport and exercise : review and future directions", Psychol Sport Exerc, 14, pp.136~144 (2013)
  20. Craft BB, "Gender differences in exercise habits and quality of life reports : assessing the moderating effects of reasons for exercise", Int J Lib Arts Soc Sci, 2, pp.65~76 (2014)
  21. van Uffelen JG, "Gender differences in physical activity motivators and context preferences : a population-based study in people in their sixties", BMC Public Health, 17, pp.624~ (2017)
  22. Tarnopolsky LJ, "Gender differences in substrate for endurance exercise", J Appl Physiol(1985), 68, pp.302~308 (1990)
  23. Tarnopolsky MA, "Carbohydrate loading and metabolism during exercise in men and women", J Appl Physiol(1985), 78, pp.1360~1368 (1995)
  24. Carter SL, "Substrate utilization during endurance exercise in men and women after endurance training", Am J Physiol Endocrinol Metab, 280, pp.E898~E907 (2001)
  25. Devries MC, "Sex-based differences in endurance exercise muscle metabolism : impact on exercise and nutritional strategies to optimize health and performance in women", Exp Physiol, 101, pp.243~249 (2016)
  26. Ruby BC, "Effects of estradiol on substrate turnover during exercise in amenorrheic females", Med Sci Sports Exerc, 29, pp.1160~1169 (1997)
  27. Devries MC, "17beta-estradiol supplementation decreases glucose rate of appearance and disappearance with no effect on glycogen utilization during moderate intensity exercise in men", J Clin Endocrinol Metab, 90, pp.6218~6225 (2005)
  28. Hamadeh MJ, "Estrogen supplementation reduces whole body leucine and carbohydrate oxidation and increases lipid oxidation in men during endurance exercise", J Clin Endocrinol Metab, 90, pp.3592~3529 (2005)
  29. Horton TJ, "Glucose kinetics differ between women and men, during and after exercise", J Appl Physiol(1985), 100, pp.1883~1894 (2006)
  30. Beaudry KM, "Sex-based differences in hepatic and skeletal muscle triglyceride storage and metabolism 1", Appl Physiol Nutr Metab, 44, pp.805~813 (2019)
  31. Sarafian D, "Sex difference in substrate oxidation during low-intensity isometric exercise in young adults", Appl Physiol Nutr Metab, 41, pp.977~984 (2016)
  32. Devries MC, "Importance of considering sex and gender in exercise and nutrition research", Appl Physiol Nutr Metab, 46, pp.3~7 (2021)

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