کیفیت زندگی با تاکید بر رابطه علّی سابقه ورزشی با افت شناختی: مدل نقش میانجی‌گری

نوع مقاله : مطالعه پژوهشی اصیل

نویسندگان

1 دانشجوی دکتری، گروه تربیت بدنی، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی تهران، ایران.

2 دانشیار، گروه رفتار حرکتی، واحد اصفهان، دانشگاه آزاد اسلامی، اصفهان، ایران.

3 استادیار، گروه تربیت بدنی،واحد تهران شرق، دانشگاه ازاد اسلامی، تهران، ایران.

4 استادیار، گروه رفتار حرکتی، واحد علوم تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران.

چکیده

هدف: هدف این پژوهش طراحی مدل نقش میانجی­گری کیفیت زندگی در رابطه علّی سابقه ورزشی با افت شناختی بود.
مواد و روش ها: از میان مردان سالمند، 396 مرد (دامنه سنی 65 تا 84 سال) با سابقه فعالیت در دو، والیبال، بدنسازی، کوهپیمایی، فوتبال انتخاب شدند. آزمودنی­ها پرسشنامه 26 سؤالی کیفیت زندگی سازمان بهداشت جهانی- فرم کوتاه را تکمیل نموده و با استفاده از نرم­افزار حافظه کاری وکسلر از آزمودنی­ها آزمون حافظه به عمل آمد.
یافته ها: نتایج نشان داد کیفیت زندگی با سابقه ورزشی و حافظه کاری رابطه دارد اما با نوع رشته ورزشی شرکت­کنندگان در این مطالعه رابطه­ای ندارد. همچنین نتایج نشان داد سابقه ورزشی با حافظه رابطه دارد، اما بین حافظه شرکت­کنندگان در ورزش­های مختلف تفاوتی وجود ندارد. مدل اندازه­گیری ترسیم­شده در این تحقیق از کیفیت مناسب برخوردار بوده و برازش مدل در حد متوسط است. کیفیت زندگی از طریق میانجی­گری در رابطه بین سابقه ورزشی و حافظه، به­طور غیرمستقیم بر حافظه کاری سالمندان اثرگذار است. هرچند در رابطه مذکور، سابقه ورزشی نسبت به کیفیت زندگی اهمیت بیشتری دارد.
نتیجه گیری: بر اساس نتایج، سابقه ورزشی از طریق کیفیت زندگی تأثیر قابل‌توجهی بر حافظه کاری در افراد مسن‌ دارد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Mediation Model Examining the Causal Relationship Between Sports Participation History and Cognitive Decline in Terms of Quality of Life

نویسندگان [English]

  • Kianoosh Sharifiazar 1
  • Mehdi Namazizadeh 2
  • Seyed Kazem Mousavi Sadat 3
  • Keyvan Molanorouzi 4
1 PhD Student, Department of Physical Education, Science and Research Unit, Islamic Azad University of Tehran, Iran
2 Motor Behavior Department, Isfahan Branch, Islamic Azad University, Isfahan, Iran
3 Motor Behavior Department, Tehran East Branch, Islamic Azad University, Tehran, Iran
4 Motor Behavior Department, Research Science Unit, Islamic Azad University, Tehran, Iran
چکیده [English]

Background and Purpose
The most significant social changes of the 21st century will be in the field of population, particularly the increase in the global geriatric population. From 1950 to 2015, the global population aged 65 and older increased by more than 3 percent, reaching 611.9 million people (United Nations, 2017). In Iran, this demographic has grown by 2.3% from 1345 to 1395, reaching 4,871,518 people (Ladier-Fouladi, 2021). It is not possible to diagnose Alzheimer's in its early stages or to predict the exact  number of people who will develop it. However, early detection allows for preventative measures. Screening for moderate cognitive impairment, which often serves as a precursor to Alzheimer’s and other related diseases, is a key method for early diagnosis. Alzheimer's disease affects approximately one-tenth of individuals over 65 and half of those over 85 years old. Between 2010 and 2019, around eleven to twelve million people were added to the global number of individuals suffering from the disease. Additionally, the number of individuals over and under the age of 65 has increased every four to five years, with this trend expected to continue. By 2050, this number is projected to more than double.
The Materials and Methods
The statistical population for this study consists of active adult men aged 55 to 84. Using Morgan's table, 396 men who are active in sports such as walking, jogging, slow running, volleyball, bodybuilding, mountaineering, and football were selected as the statistical sample. The data was collected through in-person interviews with the participants. To meet the entry requirements, men and women over the age of 55 with a history of engaging in at least two hours of weekly activity in one of the sports related to this research for a year prior to participating in the study were included. Exclusion criteria for research participants included a history of chronic cardiovascular disease and the use of cardiac medications, a history of mental illness requiring hospitalization or drug therapy, as well as any injuries or brain damage. After participants provided informed consent to participate in the study, a self-declaration form was used to assess their sports participation history, including the duration and category of their activities.
Findings
In this study, the relationship between participants' history of sports participation and their quality of life was examined, revealing a significant correlation. Additionally, the connection between sports activity history and memory was explored, and a significant link was found. Furthermore, an investigation into the relationship between quality of life and memory also demonstrated a significant association.   This study separately examined the ability of a history of sports participation to predict two variables: quality of life and memory. It was found that the history of sports participation has a significant capacity to predict both variables. Therefore, a history of sports participation can serve as a predictor for both quality of life and memory. Additionally, the study demonstrated that quality of life can predict memory, meaning that it is possible to forecast memory status based on the quality of life. The validity and reliability of the model were assessed by comparing the variance extracted from the constructs with the criterion established by Fornell and Larcker (1996) and Magner et al. (1981). Additionally, composite reliability (Dillon-Goldstein coefficient) and Cronbach's alpha coefficient were compared with the established criterion, and both were found to be acceptable. Therefore, the convergent validity and reliability of the model are considered satisfactory. Based on the research findings, it can be concluded that the model, which explores the mediating role of quality of life in the causal relationship between the history of sports participation and memory, is adequate.
Conclusion
In our investigation, participants' memories for all types of sports were found to be identical. This suggests that physical activity, regardless of the type of sport, has a significant effect on working memory in older adults. The effects of physical activity on working memory are influenced by various factors, including the intensity, type, duration, and frequency of exercise, as well as cognitive status and whether an individual is active or inactive.  Given the wide range of movement and sports activities, which vary in form, cognitive demands, and their effects on physiological and neurocognitive functions, it is possible to categorize sports based on their impact on the cognitive health of older adults. This categorization helps health professionals better understand the relationship between exercise and quality of life, enabling the implementation of targeted health interventions aimed at improving the quality of life for the elderly.
Authors’ Contributions
All authors have equally participated in designing, implementing and writing all parts of the present study.
Conflicts of Interest
The authors declared no conflict of interest.

کلیدواژه‌ها [English]

  • Quality of life
  • Exercise
  • Cognitive impairment
  1. Amin, A., Munir Mohd Salleh, A., Shaladdin Muda, M., Ahmad, N., & Ibrahim, Y. (2013). Modeling quality of life and life satisfaction amongst homestay program in Malaysia. Int J Soc Sci, 7(1), 194-204. https://doi.org/10.5539/ass.v9n3p33
  2. Bárrios, H., Narciso, S., Guerreiro, M., Maroco, J., Logsdon, R., & de Mendonça, A. (2013). Quality of life in patients with mild cognitive impairment. Aging Ment Health, 17(3), 287-292. https://doi.org/10.1080/13607863.2012.747083
  3. Blondell, S. J., Hammersley-Mather, R., & Veerman, J. L. (2014). Does physical activity prevent cognitive decline and dementia? A systematic review and meta-analysis of longitudinal studies. BMC Public Health, 14, 1-12.

https://doi.org/10.1186/1471-2458-14-510

  1. Brown, D. R., Carroll, D. D., Workman, L. M., Carlson, S. A., & Brown, D. W. (2014). Physical activity and health-related quality of life: US adults with and without limitations. Qual Life Res, 23(10), 2673-2680. https://doi.org/10.1007/s11136-014-0739-z
  2. Chi, H., Agama, E., & Prodanoff, Z. G. (2017, April). Developing serious games to promote cognitive abilities for the elderly. In 2017 IEEE 5th International Conference on Serious Games and Applications for Health (SeGAH) (pp. 1-8). IEEE. https://doi.org/10.1109/segah.2017.7939279
  3. Denche-Zamorano, Á., Pastor-Cisneros, R., Moreno-Moreno, L., Carlos-Vivas, J., Mendoza-Muñoz, M., Contreras-Barraza, N., Gil-Marín, M., & Barrios-Fernández, S. (2022). Physical Activity Frequency and Health-Related Quality of Life in Spanish Children and Adolescents with Asthma: A Cross-Sectional Study. Int J Environ Res Public Health, 19(21), 14611. https://doi.org/10.3390/ijerph192114611
  4. Gotlib, I. H., & Joormann, J. (2010). Cognition and depression: current status and future directions. Annu Rev Clin Psychol, 6, 285-312. https://doi.org/10.1146/annurev.clinpsy.121208.131305
  5. Heyman, T., Van Rensbergen, B., Storms, G., Hutchison, K. A., & De Deyne, S. (2015). The influence of working memory load on semantic priming. J Exp Psychol Learn Mem Cogn, 41(3), 911. https://doi.org/10.1037/e524912015-031
  6. Hittel, D. S., Axelson, M., Sarna, N., Shearer, J., Huffman, K. M., & Kraus, W. E. (2010). Myostatin decreases with aerobic exercise and associates with insulin resistance. Med Sci Sports Exerc, 42(11), 2023. https://doi.org/10.1249/mss.0b013e3181e0b9a8
  7. Ieraci, A., Mallei, A., Musazzi, L., & Popoli, M. (2015). Physical exercise and acute restraint stress differentially modulate hippocampal brain‐derived neurotrophic factor transcripts and epigenetic mechanisms in mice. Hippocampus, 25(11), 1380-1392. https://doi.org/10.1002/hipo.22458
  8. Kazemi, N., Sajjadi, H., & Bahrami, G. (2019). Quality of life in Iranian elderly. Salmand: Iranian J Ageing, 13(5), 518-533. In Persian

https://doi.org/10.32598/sija.13.special-issue.518

  1. Ladier-Fouladi, M. (2021). The Islamic Republic of Iran’s New Population Policy and Recent Changes in Fertility. Iran Stud, 54(5-6), 907-930. https://doi.org/10.1080/00210862.2021.1884970
  2. Lambourne, K., Audiffren, M., & Tomporowski, P. D. (2010). Effects of acute exercise on sensory and executive processing tasks. Med Sci Sports Exerc, 42(7), 1396-402. https://doi.org/10.1249/mss.0b013e3181cbee11
  3. Logsdon, R. G., McCurry, S. M., & Teri, L. (2007). Evidence-based interventions to improve quality of life for individuals with dementia. Alzheimers Care Today, 8(4), 309.
  4. Lü, J., Fu, W., & Liu, Y. (2016). Physical activity and cognitive function among older adults in China: a systematic review. J Sport Health Sci, 5(3), 287-296. https://doi.org/10.1016/j.jshs.2016.07.003
  5. Nations, U. (2017). World population prospects: the 2017 revision, key findings and advance tables. Department of Economics and Social Affairs PD, editor. New York: United Nations, 46. https://doi.org/10.18356/a8d71628-en
  6. Ojagbemi, A., & Akin-Ojagbemi, N. (2019). Exercise and quality of life in dementia: A systematic review and meta-analysis of randomized controlled trials. J Appl Gerontol, 38(1), 27-48. https://doi.org/10.1177/0733464817693374
  7. Pucci, G. C. M. F., Neves, E. B., Santana, F. S. d., Neves, D. d. A., & Saavedra, F. J. F. (2021). Effect of resistance training and pilates on the quality of life of elderly women: a randomized clinical trial. Rev Bras Geriatr Gerontol, 23. https://doi.org/10.1590/1981-22562020023.200283
  8. Rasafiani, M., Sahaf, R., Shams, A., Vameghi, R., Zareian, H., & Akrami, R. (2020). Validity and reliability of the persian version of the world health organization quality of life questionnaire–the older adults edition. Iran J Ageing, 15(1), 28-41. https://doi.org/10.32598/sija.2020.3.110
  9. Raue, U., Slivka, D., Minchev, K., & Trappe, S. (2009). Improvements in whole muscle and myocellular function are limited with high-intensity resistance training in octogenarian women. J Appl Physiol, 106(5), 1611-1617. https://doi.org/10.1152/japplphysiol.91587.2008
  10. Russell, E. W. (1975). A multiple scoring method for the assessment of complex memory functions. J Consult Clin Psychol, 43(6), 800. https://psycnet.apa.org/doi/10.1037/0022-006X.43.6.800
  11. Sabia, S., Dugravot, A., Dartigues, J.-F., Abell, J., Elbaz, A., Kivimäki, M., & Singh-Manoux, A. (2017). Physical activity, cognitive decline, and risk of dementia: 28 year follow-up of Whitehall II cohort study. BMJ, 357. https://doi.org/10.1136/bmj.j2709
  12. Sadeghi, N., & Noroozian, M. (2013). Preliminary Validation Study of the Persian Version of Clinical Dementia Rating (P-CDR). Zahjrms, 14(10), 47-50. In Persian
  13. Saed, O., Rushan, R., & Moradi, A. (2008). Investigating psychometric properties of Wechsler Memory Scale-for the students of Tehran Universities. Clin Psychol Pers, 6(2), 57-70. In Persian
  14. Shirini, A., Arsham, S., & Yaali, R. (2017). The relationship between fear of falling, anxiety, functional mobility and balance in nursing-home older adults. Motor Behav, 9(29), 135-148. In Persian https://doi.org/10.22089/mbj.2017.3227.1394
  15. Stites, S. D., Karlawish, J., Harkins, K., Rubright, J. D., & Wolk, D. (2017). Awareness of mild cognitive impairment and mild Alzheimer’s disease dementia diagnoses associated with lower self-ratings of quality of life in older adults. J Gerontol B Psychol Sci Soc Sci, 72(6), 974-985. https://doi.org/10.1093/geronb/gbx100
  16. Tavafian, S. S., Aghamolaei, T., & Moeini, B. (2014). Functional independence level of physical activities in elderly people: a population-based study. Payesh, 13(4), 449-456. In Persian
  17. Wechsler, D. (1945). A standard memory scale for clinical use. Arch Psychol, 19, 87-95.