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مدل تخمین سطح مقطع و حجم عضله چهار سر ران در مردان سالمند و جوان با استفاده از اندازه های آنتروپومتریکی ناحیه ران | ||
| پژوهشنامه فیزیولوژی ورزشی کاربردی | ||
| مقاله 13، دوره 13، شماره 26، اسفند 1396، صفحه 161-172 اصل مقاله (466.28 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22080/jaep.2017.10365.1513 | ||
| نویسندگان | ||
| رئوف نگارش1؛ روح اله رنجبر* 2؛ عبدالحمید حبیبی3؛ محمد مومن غریبوند4 | ||
| 1گروه فیزیولوژی ورزشی، دانشکده تربیت بدنی و علوم ورزشی، دانشگاه شهید چمران اهواز، اهواز، ایران | ||
| 2استادیار گروه فیزیولوژی دانشکده تربیت بدنی دانشگاه شهید چمران اهواز، اهواز، ایران | ||
| 3استاد گروه فیزیولوژی ورزشی، دانشکده تربیت بدنی و علوم ورزشی، دانشگاه شهید چمران اهواز، اهواز، ایران | ||
| 4استادیار گروه رادیولوژی، دانشکده پزشکی، دانشگاه علوم پزشکی جندی شاپور، اهواز، ایران | ||
| تاریخ دریافت: 01 تیر 1395، تاریخ بازنگری: 10 آذر 1395، تاریخ پذیرش: 28 آذر 1395 | ||
| چکیده | ||
| مقدمه و هدف: ارزیابی سطح مقطع و حجم عضله چهارسر ران از ارزش تسخیصی بالایی برخوردار است. هدف از این پژوهش ارائه مدلی برای پیش بینی سطح مقطع و حجم عضله چهار سر ران براساس اندازه های آنتروپومتریکی در مردان سالمند و جوان بود. روش‌شناسی: 101 نفر مرد (52 سالمند با دامنه سنی 50 تا 70 سال و 49 جوان با دامنه سنی 20 تا 49 سال) سالم و غیر فعال در این پژوهش شرکت کردند. از تصویربرداری تموگرافی رایانهای بعنوان روش مرجع و از اندازهگیریهای آنتروپومتریکی ناحیه ران به عنوان متغیرهای پیش بین استفاده شد. برای طراحی مدل پیش بین از رگرسیون چند عاملی استفاده شد. یافته‌ها: ارتباط معنی داری بین متغییرهای پیش بین و معیار مشاهده شد (P≤0.05). مدل رگرسیونی تخمین حجم عضلانی در سالمندان 144/2639– (1-10× TSF)895/39 – (L) 544/26+ (TTC) 142/40+ 2(TTC) 125/0- و در جوانان 579/7242+ (1-10× TSF)908/53– (L) 131/26 + (TTC) 217/88- 2(TTC) 295/0 می باشد. در این مدل ها منظور از TTC، مجموع دور ران در سه ناحیه بالایی، میانی و پایینی به سانتی متر، منظور از L، طول ران به سانتی متر و منظور از TSF، مجموع چربی زیر پوستی در سه ناحیه بالایی، میانی و پایینی به میلی متر، در ناحیه قدامی ران می باشد. ضریب همبستگی و خطای استاندارد برآورد برای مدل گروه سالمندان بترتیب 781/0 و 195/5 درصد و برای جوانان بترتیب 845/0 و 169/3 درصد بود. نتیجه‌گیری: بنظر می رسد نتایج پژوهش مدل های نسبتا معتبری را برای برآورد سطح مقطع و حجم عضله چهار سر ران براساس متغیر آنتروپومتریکی در مردان جوان و سالمند ارائه داد، که می تواند برای پژوهش ها در زمینه های بالینی، فیزیولوژی ورزشی و علم تمرین سودمند است. کلید واژه ها: آنتروپومتریک؛ عضله چهار سر ران؛ آنالیز رگرسیون | ||
| کلیدواژه‌ها | ||
| آنتروپومتریک؛ عضله چهار سر ران؛ آنالیز رگرسیون | ||
| عنوان مقاله [English] | ||
| Estimation model of the Quadriceps Muscle Cross-Sectional Area and Volume by using Anthropometric Parameters of Thigh in Old and Young Men | ||
| نویسندگان [English] | ||
| raoof negaresh1؛ rohollah ranjbar2؛ Abdolhamid Habibi3؛ Mohamad Momen Gharibvand4 | ||
| 1Department of physical education, Ahvaz Shahid Chamran university, Ahvaz, Iran | ||
| 2Assistant professor of sport physiology, Departemant of physical education, Ahvaz Shahid Chamran university, Ahvaz, Iran | ||
| 3Professor of sport physiology, Department of physical education, ahvaz Shahid Chamran university, Ahvaz, Iran | ||
| 4Assistant professor of Radiology, Department of medical, Jundishapur medical science university, Ahwaz, Iran | ||
| چکیده [English] | ||
| Background & Purpose: Assessment of quadriceps muscle cross-section area and volume is of great diagnostic value. The purpose of this study was to provide a model to predict quadriceps muscle cross-section area and volume based on anthropometric parameters in old and young men. Methodology: 101 sedentary and health male subjects (52 old men aged 50 to 70 and 49 young men aged 20 to 49) participated in this study. Computed tomography imaging scans as basic method and thigh anthropometric parameters as predictor variable were taken from thigh. Multiple regressions was used to designing estimation models. Result: A significant correlation between criterion variable with predictor variable was shown (P≤0.05). Regression model to estimate muscle volume was -0/125(TTC)2 +40/142(TTC) +26/544(L) -39/895(TSF×10-1) -2639/144 in the elderly subjects and -0/295(TTC)2 -88/217(TTC) +26/313(L) -53/908(TSF×10-1) +7242/579 in the young subjects. In these models, the TCC means the total tight circumference in three areas of upper, middle and lower to centimeter, the L means thigh length in centimeter and the TSF means skinfold thickness in three areas of upper, middle and lower in millimeter in the anterior region of the thigh. The correlation coefficient and standard error of the estimate was 0/781 and 5/195 percent respectively for the elderly subjects and 0/845 and 3/169 percent respectively for the young subjects. Conclusion: It seem that results are provide relatively valid models for estimating the cross section area and volume of quadriceps based on anthropometric variables in young and old men, that can useful for research in the field of clinical, exercise physiology and science. | ||
| کلیدواژه‌ها [English] | ||
| Anthropometric, quadriceps muscle, regressions analysis | ||
| مراجع | ||
|
##.Phillips SM. 2009. Physiologic and molecular bases of muscle hypertrophy and atrophy: impact of resistance exercise on human skeletal muscle (protein and exercise dose effects). Applied Physiology, Nutrition, and Metabolism. 34(3):403-10.##Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F. 2010. Sarcopenia: european consensus on definition and diagnosis: report of the european working Group on sarcopenia in older people. Age and Ageing. 39(4):412-23.##Lauretani F, Russo CR, Bandinelli S, Bartali B, Cavazzini C, Di Iorio A. 2003. Age-associated changes in skeletal muscles and their effect on mobility: an operational diagnosis of sarcopenia. Journal of Applied Physiology. 95(5):1851-60.##Janssen I, Heymsfield SB, Ross R. 2002. Low relative skeletal muscle mass (sarcopenia) in older persons is associated with functional impairment and physical disability. Journal of the American Geriatrics Society. 50(5):889-96.##Cooper C, Dere W, Evans W, Kanis JA, Rizzoli R, Sayer AA. 2012. Frailty and sarcopenia: definitions and outcome parameters. osteoporosis international: a journal established as result of cooperation between the european foundation for osteoporosis and the national osteoporosis foundation of the USA. 23(7):1839-48.##Kun LG. 2001. Telehealth and the global health network in the 21st century. from homecare to public health informatics. Computer Methods and Programs in Biomedicine. 64(3):155-67.##Pereira PM, da Silva GA, Santos GM, Petroski EL, Geraldes AA. 2013. Development and validation of anthropometric equations to estimate appendicular muscle mass in elderly women. Nutrition Journal. 12(1):92-98.##Wang Z, Heshka S, Gallagher D, Boozer CN, Kotler DP, Heymsfield SB. 2000. Resting energy expenditure-fat-free mass relationship: new insights provided by body composition modeling. American Journal of Physiology Endocrinology and Metabolism. 279(3):539-45.##Wang ZM, Gallagher D, Nelson ME, Matthews DE, Heymsfield SB. 1996. Total-body skeletal muscle mass: evaluation of 24-h urinary creatinine excretion by computerized axial tomography. The American Journal of Clinical Nutrition. 63(6):863-9.##Kim J, Wang Z, Heymsfield SB, Baumgartner RN, Gallagher D. 2002. Total-body skeletal muscle mass: estimation by a new dual-energy X-ray absorptiometry method. The American Journal of Clinical Nutrition. 76(2):378-83.##.Lee RC, Wang Z, Heo M, Ross R, Janssen I, Heymsfield SB. 2000. Total-body skeletal muscle mass: development and cross-validation of anthropometric prediction models. The American Journal of Clinical Nutrition. 72(3):796-803.##Mitsiopoulos N, Baumgartner RN, Heymsfield SB, Lyons W, Gallagher D, Ross R. 1998. Cadaver validation of skeletal muscle measurement by magnetic resonance imaging and computerized tomography. Journal of Applied Physiology. 85(1):115-22.##Poortmans JR, Boisseau N, Moraine JJ, Moreno-Reyes R, Goldman S. 2005. Estimation of total-body skeletal muscle mass in children and adolescents. Medicine and Science in Sports and Exercise. 37(2):316-22.##Doupe MB, Martin AD, Searle MS, Kriellaars DJ, Giesbrecht GG. 1997. A New formula for population-based estimation of whole body muscle mass in males. Canadian Journal of Applied Physiology. 1997; 22(6):598-608.##Janssen I, Heymsfield SB, Baumgartner RN, Ross R. 2000. Estimation of skeletal muscle mass by bioelectrical impedance analysis. Journal of Applied Physiology. 89(2): 465-71.##Kaysen GA, Zhu F, Sarkar S, Heymsfield SB, Wong J, Kaitwatcharachai C, et al. 2005. Estimation of total-body and limb muscle mass in hemodialysis patients by using multifrequency bioimpedance spectroscopy. The American Journal of Clinical Nutrition. 82(5):988-95.##Williams DH, Lakomy HK, Williams C. Anthropometric determination of thigh volumes and thigh forces following acute training of increasing intensity in adult men. 1996. European Journal of Applied Physiology and Occupational Physiology. 72(5):528-36.##Barry M, Zuniga J, Brown M, Garnett W, Hadden Z, Nguyen P, et al. 2015. The effects of muscle cross-sectional area on the physical working capacity at the fatigue threshold. Journal of Undergraduate Kinesiology Research. 10(2):20-30.##Adames Gm. Exercise physiology laboratory manual. Tehran: Hatmi publisher; 2014.##.Housh DJ, Housh TJ, Weir JP, Weir LL, Johnson GO, Stout JR. 1995. Anthropometric estimation of thigh muscle cross-sectional area. Medicine and Science in Sports and Exercise. 27(5):784-91.## Manouel CJ, Malina RM, Simões F, Valente-dos-Santos J, Martins RA, Vaz Ronque ER, Petroski EL, Minderico C, Silva AM, Baptista F, Sardinha LB. 2013. Determination of thigh volume in youth with anthropometry and DXA: Agreement between estimates. European Journal of Sport Science. 13(5):527-33.##Storer TW, Davis JA, Caiozzo VJ. 1990. Accurate prediction of VO2max in cycle ergometry. Medicine and Science in Sports and Exercise. 22(5):704-12.##Tofighi A, Babaei S, Kashkooli Fi, Babaei R. 2014. The relationship between the amount of physical activity and general health in urmia medical university students. Journal of Urmia Nursing and Midwifery Faculty. 12(3):166-72. [Persian]##Najafi Z, Tagharobi Z, Shahriari M. 2014. Effect of aromatherapy with lavender on quality of sleep in patients undergoing hemodialysis. Journal of Feize. 18(2):145-50. [Persian]##Abe T, Kearns CF, Fukunaga T. 2003. Sex differences in whole body skeletal muscle mass measured by magnetic resonance imaging and its distribution in young japanese adults. British Journal of Sports Medicine. 37(5):436-40.## Jafarabadi MA, Mohammadi SM, Soltani A. 2014. Statical series: the analaysis of contingncy tables 3 (measures of effect and agreement). Iranian journal of Diabetes and Metabolism. 14(2):75-92.[In Persian].##Mijnarends DM, Meijers JM, Halfens RJ, ter Borg S, Luiking YC, Verlaan S, Schoberer D, Jentoft AJ, van Loon LJ, Schols JM. 2013. Validity and reliability of tools to measure muscle mass, strength, and physical performance in community-dwelling older people: a systematic review. Journal of the American Medical Directors Association. 14(3):170-8.##Jones PR, Pearson J. 1969. Anthropometric determination of leg fat and muscle plus bone volumes in young male and female adults. The Journal of Physiology. 204(2):63-6.##Cutts A, Seedhom BB. 1993. Validity of cadaveric data for muscle physiological cross-sectional area ratios: a comparative study of cadaveric and in-vivo data in human thigh muscles. Clinical Biomechanics. 8(3):156-62.##Prior SJ, Ryan AS, Blumenthal JB, Watson JM, Katzel LI, Goldberg AP. 2016. Sarcopenia is associated with lower skeletal muscle capillarization and exercise capacity in older adults. The Journals of Gerontology Series A, Biological Sciences and Medical Sciences. 231(1):104-10.##Psutka SP, Boorjian SA, Moynagh MR, Schmit GD, Costello BA, Thompson RH, et al. 2016. Decreased skeletal muscle mass is associated with an increased risk of mortality after radical nephrectomy for localized renal cell cancer. The Journal of Urology. 195(2):270-6.## | ||
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