Mind Matters: Examining the Relationship between Mental Lifestyle Determinants and Muscle Mass

Document Type : Research Paper

Authors

1 Department of Nutrition Sciences, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

2 Department of Biostatistics, School of Health, Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.

Abstract

Introduction: There was evidence of a relationship between changes in muscle mass and mental health. Depression, stress, anxiety, sleep quality, and smoking are all aspects of one's mental lifestyle. The current study aimed to evaluate the relationship between muscle mass and intangible mental lifestyle variables in a population of Mashhad University of Medical Sciences employees. Methods: This study used PERSIAN cohort data from 4572 Mashhad University of Medical Sciences employees aged between 30 to 70 who volunteered for the employee health-monitoring plan. Results: The results showed that factors such as DASS21 (P=0.002, β=-0.047), PSQI (P<0.001, β=-0.064), and smoking (P<0.001, β=-0.207) had a significant negative relationship with skeletal muscle mass index. The structural model of the final hypothesis showed remarkable validity with a high R2Conclusions: The results demonstrated a strong correlation between skeletal muscle mass and mental lifestyle factors, such as smoking, sleep hygiene, and mental health. In the current study, the most significant relationship is related to smoking.

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  1. lifestyle 2023 [updated 25/Nov; cited 2024 26/May]. Available from: https://www.ldoceonline.com/dictionary/lifestyle.
  2. Hillger C. Lifestyle and Health DeterminantsLifestyle and health determinants. 2008;854-61.
  3. Farhud DD. Impact of Lifestyle on Health. Iranian Journal of Public Health. 2015;44(11):1442-4.
  4. contributors W. Lifestyle (social sciences): Wikipedia, The Free Encyclopedia.; [updated 1/Nov/2023; cited 2023 26/Nov]. Available from: https://en.wikipedia.org/w/index.php?title=Lifestyle_(social_sciences)&oldid=1183001292.
  5. Lutz RS, Stults-Kolehmainen MA, Bartholomew JB. Exercise caution when stressed: Stages of change and the stress–exercise participation relationship. Psychology of Sport and Exercise. 2010;11(6):560-7.
  6. Marcos-Pardo PJ, González-Gálvez N, López-Vivancos A, Espeso-García A, Martínez-Aranda LM, Gea-García GM, et al. Sarcopenia, Diet, Physical Activity and Obesity in European Middle-Aged and Older Adults: The LifeAge Study. Nutrients. 2020;13(1).
  7. Scott AJ, Webb TL, Martyn-St James M, Rowse G, Weich S. Improving sleep quality leads to better mental health: A meta-analysis of randomised controlled trials. Sleep medicine reviews. 2021;60:101556.
  8. Gwon SH, Cho YI, Lee HJ, Paek S, Matthews PA. Moderating effects of smoking status on the relationships between mental health problems and poor sleep. SAGE Open. 2022;12(1):21582440221082140.
  9. Hayashi T, Wada N, Kubota T, Koizumi C, Sakurai Y, Aihara M, et al. Associations of sleep quality with the skeletal muscle strength in patients with type 2 diabetes with poor glycemic control. Journal of Diabetes Investigation. 2023;14(6):801-10.
  10. Stefanaki C, Pervanidou P, Boschiero D, Chrousos GP. Chronic stress and body composition disorders: implications for health and disease. Hormones (Athens, Greece). 2018 Mar;17(1):33-43.
  11. Gariballa S, Alessa A. Associations between low muscle mass, blood-borne nutritional status and mental health in older patients. BMC Nutrition. 2020 2020/03/06;6(1):6.
  12. Kim NH, Kim HS, Eun CR, Seo JA, Cho HJ, Kim SG, et al. Depression is associated with sarcopenia, not central obesity, in elderly korean men. Journal of the American Geriatrics Society. 2011;59(11):2062-8.
  13. Allen DL, McCall GE, Loh AS, Madden MC, Mehan RS. Acute daily psychological stress causes increased atrophic gene expression and myostatin-dependent muscle atrophy. American Journal of Physiology Regulatory, Integrative and Comparative Physiology. 2010;299(3):R889-98.
  14. Knowles OE, Drinkwater EJ, Urwin CS, Lamon S, Aisbett B. Inadequate sleep and muscle strength: Implications for resistance training. Journal of Science and Medicine in Sport. 2018;21(9):959-68.
  15. Poornima KN, Karthick N, Sitalakshmi R. Study of the effect of stress on skeletal muscle function in geriatrics. Journal of Clinical and Diagnostic Research : JCDR. 2014;8(1):8-9.
  16. Wang L, van Iersel LEJ, Pelgrim CE, Lu J, van Ark I, Leusink-Muis T, et al. Effects of Cigarette Smoke on Adipose and Skeletal Muscle Tissue: In Vivo and In Vitro Studies. Cells. 2022;11(18).
  17. Chin WW. Commentary: Issues and opinion on structural equation modeling. MIS Quarterly. 1998;22(1):vii-xvi.
  18. Hair J, Ringle C, Sarstedt M. PLS-SEM: Indeed a silver bullet. The Journal of Marketing Theory and Practice. 2011;19:139-51.
  19. Kakemam E, Navvabi E, Albelbeisi AH, Saeedikia F, Rouhi A, Majidi S. Psychometric properties of the Persian version of Depression Anxiety Stress Scale-21 Items (DASS-21) in a sample of health professionals: a cross-sectional study. BMC health services research. 2022 Jan 26;22(1):111.
  20. Kakoei H ea. Sleep Quality of Professional Drivers in Intercity Terminals (Study Case: Tehran City). 2010 28 Sep.21. Chin WW. How to write up and report PLS analyses. In: Esposito Vinzi V, Chin WW, Henseler J, Wang H, editors. Handbook of Partial Least Squares: Concepts, Methods and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg; 2010; 655-90.
  21. Hair JF, Risher JJ, Sarstedt M, Ringle CM. When to use and how to report the results of PLS-SEM. European Business Review. 2019;31(1):2-4.
  22. Ringle C, Wende S, Becker J-M. SmartPLS. 32015.
  23. Ghasemy M, Teeroovengadum V, Becker J-M, Ringle CM. This fast car can move faster a review of PLS-SEM application in higher education research. Higher Education. 2020;80(6):1121-52.
  24. Hair J, Hult GTM, Ringle C, Sarstedt M. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). 2022.
  25. Hair Jr J, Hair Jr JF, Sarstedt M, Ringle CM, Gudergan SP. Advanced issues in partial least squares structural equation modeling. saGe publications; 2023.
  26. Dijkstra TK, Henseler J. Consistent partial least squares path modeling. MIS quarterly. 2015 Jun 1;39(2):297-316.
  27. Franke G, Sarstedt M. Heuristics versus statistics in discriminant validity testing: A comparison of four procedures. Internet Research. 2018 02/02;29.
  28. Henseler J, Ringle C, Sarstedt M. A New Criterion for Assessing Discriminant Validity in Variance-based Structural Equation Modeling. Journal of the Academy of Marketing Science. 2015;43:115-35.
  29. Marques A, Gomez-Baya D, Peralta M, Frasquilho D, Santos T, Martins J, et al. The Effect of Muscular Strength on Depression Symptoms in Adults: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health. 2020 Aug 6;17(16).
  30. Low S, Goh KS, Ng TP, Moh A, Ang SF, Khoo J, et al. Decline in skeletal muscle mass is associated with cognitive decline in type 2 diabetes mellitus. Journal of Diabetes and its Complications. 2022;36(9):108258.
  31. Buchmann N, Spira D, Norman K, Demuth I, Eckardt R, Steinhagen-Thiessen E. Sleep, Muscle Mass and Muscle Function in Older People. Deutsches Arzteblatt International. 2016;113(15):253-60.
  32. Xu HQ, Shi JP, Shen C, Liu Y, Liu JM, Zheng XY. Sarcopenia-related features and factors associated with low muscle mass, weak muscle strength, and reduced function in Chinese rural residents: a cross-sectional study. Archives of osteoporosis. 2018;14(1):2.
  33. Atkins JL, Whincup PH, Morris RW, Wannamethee SG. Low muscle mass in older men: the role of lifestyle, diet and cardiovascular risk factors. The Journal of Nutrition, Health & Aging. 2014;18(1):26-33.
  34. Rom O, Reznick AZ, Keidar Z, Karkabi K, Aizenbud D. Smoking cessation-related weight gain--beneficial effects on muscle mass, strength and bone health. Addiction (Abingdon, England). 2015;110(2):326-35.