ورزش و علوم زیست حرکتی

ورزش و علوم زیست حرکتی

تاثیر تمرین هوازی با مداخله دست بندهای هوشمند ورزشی بر حداکثر اکسیژن مصرفی در زنان میانسال دارای اضافه وزن و چاق

نوع مقاله : مقاله پژوهشی

نویسندگان
1 استادیار فیزیولوژی ورزشی، گروه علوم ورزشی، دانشکده علوم انسانی، دانشگاه سمنان، سمنان، ایران
2 گروه علوم ورزشی، دانشکده علوم انسانی، دانشگاه سمنان، سمنان، ایران
چکیده
مقدمه و هدف: کم­ تحرکی یکی از عوامل بیماری های قلبی عروقی بوده و اصلاح سبک زندگی و افزایش توان هوازی می ­تواند باعث ارتقا سلامت شود. هدف از پژوهش حاضر بررسی تاثیر هشت هفته تمرین هوازی با مداخله دست بندهای هوشمند ورزشی بر حداکثر اکسیژن مصرفی در زنان میانسال دارای اضافه وزن بود.
مواد و روش ­ها: پژوهش حاضر به صورت نیمه­ تجربی انجام پذیرفت. تعداد 30 نفر از زنان میانسال دارای اضافه وزن شهر تهران به عنوان آزمودنی در دسترس، انتخاب و با آرایش تصادفی ساده به سه گروه، تجربی تمرین هوازی با مداخله دست بند­ ورزشی (10=n)، گروه تجربی تمرین هوازی بدون مداخله دست بند ورزشی (10=n) و کنترل (10=n) تقسیم شدند. گروه ­های تمرین به مدت هشت هفته و هر هفته سه جلسه 60 دقیقه ­ای تمرین کردند. شدت تمرین 50 تا 70 درصد ضربان قلب ذخیره بود. اندازه­ گیری حداکثر اکسیژن مصرفی توسط آزمون راکپورت انجام گرفت. طبیعی بودن توزیع داده ­ها با آزمون شاپیروویلک و جهت تحلیل داده­ ها از آزمون آماری تی وابسته و تحلیل واریانس یک طرفه ANOVA و آزمون تعقیبی بونفرونی در سطح معناداری 0.05> Pاستفاده گردید.
یافته ها: نتایج نشان داد، هشت هفته تمرین هوازی با دست بند ورزشی نسبت به تمرین بدون مداخله دست بند ورزشی باعث افزایش معنی­ داری در حداکثر اکسیژن مصرفی شد (0.001=P). همچنین تغییرات هر دو گروه تجربی نسبت به گروه کنترل نیز معناداری را نشان داد (0.001=P).
بحث و نتیجه گیری: هشت هفته تمرین هوازی همراه با دست بندهای ورزشی می ­تواند در بهبود حداکثر اکسیژن مصرفی در زنان میانسال دارای اضافه وزن نقش موثرتری داشته باشد.
کلیدواژه‌ها

عنوان مقاله English

The effect of aerobic training with the intervention of smart sports bracelets on maximum oxygen uptake in overweight and obese middle-aged women

نویسندگان English

Seyed Mohsen Avandi 1
Maryam Refaee 2
1 Assistant Professor of Exercise physiology,, Sport Science Department, Human Faculty, Semnan University, Semnan, Iran
2 ,Sport Science Department, Human Faculty, Semnan University, Semnan, Iran
چکیده English

Introduction and Purpose: The purpose of this study was to investigate the effect of aerobic Training with the intervention of smart sports bracelet on maximum oxygen uptake in overweight and obese middle-aged women.
Materials and Methods: This research is a semi-experimental study. The 30 overweight and obese middle-aged women in Tehran, as available subjects, were selected and randomly assigned to three groups. Three groups were including aerobic exercise with smart sport bracelet intervention (n=10).  Aerobic exercise without intervention of bracelet (n=10) and control group (n=10). The experimental groups perform eight weeks aerobic training and three sessions per week. The intensity of training was 50 to 70% of the reserve heart rate. The control group did not have any special activity. In order to determine the normality of the data distribution, the Shapiro-Wilk test was used to analyze the data, and the dependent t-test, ANOVA and Bonferroni post hoc test were used at the significance level of P<0.05.
Results: The results showed a significant difference between the two experimental groups in the vo2 max, and monitoring with the intervention of the bracelet showed an improvement in performance (P<0.01), but both training groups compared to the control group performed better (P= 0.001).
Discussion and Conclusion: Aerobic exercise with monitoring by sports bracelets can have an effective role in improving maximum oxygen consumption in middle age woman.

کلیدواژه‌ها English

Vo2max
Aerobic Training
Smart sport bracelet
Kelly T, Yang W, Chen C-S, Reynolds K, He J. Global burden of obesity in 2005 and projections to 2030. International
journal of obesity. 2008;32(9):1431-7. doi:10.1038/ijo.2008.102.
2. Schjerve IE, Tyldum GA, Tjønna AE, Stølen T, Loennechen JP, Hansen HE, et al. Both aerobic endurance and strength
training programmes improve cardiovascular health in obese adults. Clinical science. 2008;115(9):283-93.
doi:10.1042/CS20070332.
3. Jankauskiene R, Baceviciene M. Body image and disturbed eating attitudes and behaviors in sport-involved adolescents:
the role of gender and sport characteristics. Nutrients. 2019;11(12):3061. doi:10.3390/nu11123061.
4. Shortliffe EH, Shortliffe EH, Cimino JJ, Cimino JJ. Biomedical informatics: computer applications in health care and
biomedicine: Springer; 2014.
5. Xu Q, Yi X, Pan Y. A structured interaction model of wearable system. 2014:71-5.
6. McGuigan M. Monitoring training and performance in athletes: Human Kinetics; 2017.
7. Jakicic JM, Davis KK, Rogers RJ, King WC, Marcus MD, Helsel D, et al. Effect of wearable technology combined with
a lifestyle intervention on long-term weight loss: the IDEA randomized clinical trial. Jama. 2016;316(11):1161-71.
doi:10.1001/jama.2016.12858.
8. Daly LM, Horey D, Middleton PF, Boyle FM, Flenady V. The effect of mobile app interventions on influencing healthy
maternal behavior and improving perinatal health outcomes: systematic review. JMIR mHealth and uHealth.
2018;6(8):e10012. doi:10.2196/10012.
9. Ferguson T, Olds T, Curtis R, Blake H, Crozier AJ, Dankiw K, et al. Effectiveness of wearable activity trackers to
increase physical activity and improve health: a systematic review of systematic reviews and meta-analyses. The Lancet
Digital Health. 2022;4(8):e615-e26. doi:10.1016/S2589-7500(22)00111-X.
10. Ashur C, Cascino TM, Lewis C, Townsend W, Sen A, Pekmezi D, et al. Do wearable activity trackers increase physical
activity among cardiac rehabilitation participants? A systematic review and meta-analysis. Journal of cardiopulmonary
rehabilitation and prevention. 2021;41(4):249-56. doi:10.1097/HCR.0000000000000592.
11. Choudhury A, Asan O. Impact of using wearable devices on psychological Distress: Analysis of the health information
national Trends survey. International journal of medical informatics. 2021;156:104612. doi:10.1016/j.ijmedinf. 104612.
12. Betros C, McKeever K, Kearns C, Malinowski K. Effects of ageing and training on maximal heart rate and VO2max.
Equine veterinary journal. 2002;34(S34):100-5. doi:10.1111/j.2042-3306.2002.tb05399.x.
13. Nabi T, Rafiq N, Qayoom O. Assessment of cardiovascular fitness doi:VO2 max] among medical students by Queens
College step test. Int j Biomed adv res. 2015;6(5):418-21.
14. Bahram ME, Najjarian M, Sayyah M, Mojtahedi H. The effect of an eight-week aerobic exercise program on the
homocysteine level and VO2max in young non-athlete men. KAUMS Journal (FEYZ). 2013;17(2):149-56. [In Persian].
15. Park S-H, Kim C-G. Effects of aerobic exercise on waist circumference, VO2 max, blood glucose, insulin and lipid index
in middle-aged women: A meta-analysis of randomized controlled trials. Health Care for Women International. 2021:1-
23. doi:10.1080/07399332.2021.1900190.
16. Caplan GA, Ward JA, Lord SR. The benefits of exercise in postmenopausal women. Australian journal of public health.
1993;17(1):23-6. doi:10.1111/j.1753-6405.1993.tb00099.x.
17. Earnest CP, Lavie CJ, Blair SN, Church TS. Heart rate variability characteristics in sedentary postmenopausal women
following six months of exercise training: the DREW study. PloS one. 2008;3(6):e2288. doi:10.1371/
journal.pone.0002288.
18. Spinsante S, Porfiri S, Scalise L, editors. Accuracy of heart rate measurements by a smartwatch in low intensity activities.
2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA); 2019: IEEE.
doi:10.1109/MeMeA.2019.8802216.
19. Park JH, Moon JH, Kim HJ, Kong MH, Oh YH. Sedentary lifestyle: overview of updated evidence of potential health
risks. Korean journal of family medicine. 2020;41(6):365. doi:10.4082/kjfm.20.0165.
20. Moradpour F, Jahromi MK, Fooladchang M, Rezaei R, Khorasani MRS. Association between physical activity,
cardiorespiratory fitness, and body composition with menopausal symptoms in early postmenopausal women.
Menopause. 2020;27(2):230-7. doi:10.1097/GME.0000000000001441.
21. Pinto BM, Trunzo JJ, editors. Body esteem and mood among sedentary and active breast cancer survivors. Mayo Clinic
Proceedings; 2004: Elsevier. doi:10.4065/79.2.181.
22. Cebula A, Tyka AK, Tyka A, Pałka T, Pilch W, Luty L, et al. Physiological response and cardiorespiratory adaptation
after a 6-week Nordic Walking training targeted at lipid oxidation in a group of post-menopausal women. Plos one.
2020;15(4):e0230917. doi:10.1371/journal.pone.0230917.
23. Hassel VØ. Effect of wearable activity trackers on physical activity levels in persons with chronic pain during a
rehabilitation process: NTNU; 2021. doi:10.3390/ijerph20010887.
24. McNeil J, Brenner DR, Stone CR, O’Reilly R, Ruan Y, Vallance JK, et al. Activity tracker to prescribe various exercise
intensities in breast cancer survivors. Med Sci Sports Exerc. 2019;51(5):930-40. doi:10.1249/MSS.0000000000001890.
25. Shenoy S, Guglani R, Sandhu JS. Effectiveness of an aerobic walking program using heart rate monitor and pedometer
on the parameters of diabetes control in Asian Indians with type 2 diabetes. Primary Care Diabetes. 2010;4(1):41-5.
doi:10.1016/j.pcd.2009.10.004.
26. Daskalaki E, Parkinson A, Brew-Sam N, Hossain MZ, O'Neal D, Nolan CJ, et al. The Potential of Current Noninvasive
Wearable Technology for the Monitoring of Physiological Signals in the Management of Type 1 Diabetes: Literature
Survey. Journal of medical Internet research. 2022;24(4):e28901. doi: 10.2196/28901.
27. Jokar M, Ghalavand A. Improving endothelial function following regular pyramid aerobic training in patients with type 2
diabetes. Razi Journal of Medical Sciences. 2021;28(6):60-9. doi:10.2196/28901.
28. Sesso HD, Paffenbarger RS, Ha T, Lee I-M. Physical activity and cardiovascular disease risk in middle-aged and older
women. American journal of epidemiology. 1999;150(4):408-16. doi:10.1177/2047487317737628.
29. Chad K, Wenger H. The effect of exercise duration on the exercise and post-exercise oxygen consumption. Canadian
journal of sport sciences= Journal canadien des sciences du sport. 1988;13(4):204-7.
30. Gregg EW, Pereira MA, Caspersen CJ. Physical activity, falls, and fractures among older adults: a review of the
epidemiologic evidence. Journal of the American Geriatrics Society. 2000;48(8):883-93. doi:10.1111/j.1532-
5415.2000.tb06884.x.
.31.Lao CK, Wang BL, Wang RS, Chang HY. The combined effects of sports smart bracelet and multi-component exercise
program on exercise motivation among the elderly in Macau. Medicina. 2021;57(1):34. doi:10.3390/medicina57010034.
32. Dong X, Yi X, Gao D, Gao Z, Huang S, Chao M, et al. The effects of the combined exercise intervention based on
internet and social media software (CEIBISMS) on quality of life, muscle strength and cardiorespiratory capacity in
Chinese postoperative breast cancer patients: a randomized controlled trial. Health and Quality of Life Outcomes.
2019;17(1):1-9. doi:10.1186/s12955-019-1183-0.
33. Chan C, Sounderajah V, Normahani P, Acharya A, Markar SR, Darzi A, et al. Wearable activity monitors in home based
exercise therapy for patients with intermittent claudication: a systematic review. European Journal of Vascular and
Endovascular Surgery. 2021;61(4):676-87. doi:10.1016/j.ejvs.2020.11.044.

  • تاریخ دریافت 06 دی 1401
  • تاریخ بازنگری 29 مهر 1402
  • تاریخ پذیرش 12 آبان 1402