مقایسه شاخصهای گردی بدن و شکل بدن و ارتباط آنها با سطوح فعالیت بدنی و دیگر شاخص های آنتروپومتری در زنان مینسال و سالمند مبتلا به بیماری قلبی عروقی و سالم

زیاری, محبوبه; فرزانه حصاری, امین

نوع مقاله : مقاله پژوهشی

نویسندگان

¹ کارشناس ارشد فیزیولوژی ورزش، واحد ساری، دانشگاه آزاد اسلامی، ساری، ایران

² دکترای تخصصی فیزیولوژی ورزش، گروه تربیت بدنی، واحد ساری، دانشگاه آزاد اسلامی، ساری، ایران

چکیده

زمینه و هدف: شاخصهای آنتروپومتریکی شاخص توده بدنی و دور کمر اغلب برای پیش‌بینی ریسک فاکتورهای قلبی عروقی استفاده می‌شود. شاخصهای گردی بدن و شکل بدن به تازگی معرفی شده‌اند. هدف از پژوهش حاضر، مقایسه شاخص شکل بدنی و شاخص گردی بدن بین افراد سالم و بیمار قلبی-عروقی و ارتباط آنها با میزان فعالیت بدنی و شاخصهای آنتروپومتری زنان میانسال و سالمند بود.
مواد و روشها: برای انجام مطالعه مقطعی حاضر 269 زن با دامنه سنی 40 تا 70 سال (136 نفر سالم و 133 بیمار قلبی عروقی) انتخاب شدند. سطح فعالیت بدنی با ﭘﺮﺳﺶﻧﺎﻣﻪﻱ ﺑﻴﻦﺍﻟﻤﻠﻠﻲ ﻓﻌﺎﻟﻴﺖ ﺑﺪﻧﻲ ارزیابی و بر اساس آن و همچنین بیماری قلبی‌عروقی آزمودنی‌ها به 7 گروه: بیمار قلبی عروقی، ریسک فاکتور فعال، ریسک فاکتور متوسط، ریسک فاکتور غیرفعال، سالم فعال، سالم متوسط و سالم غیرفعال تقسیم شدند. شاخصهای گردی بدن و شکل بدن، شاخص توده بدنی، دور کمر، نسبت دور کمر به لگن و وزن اندازه گیری شد. از آزمونهای ANOVA یکطرفه و ضریب همبستگی پیرسون استفاده شد.
یافته‌ها: ﺩﺭ گروه بیمار قلبی عروقی شاخص شکل بدن (004/0=p) و گردی بدن (004/0=p) بطور معنیداری بیشتر از گروه سالم فعال بود. در گروه بیمار قلبی شاخص شکل بدن با نسبت کمر به لگن رابطه مثبت (59/0=r) و با فعالیت بدنی (36/0-=r) رابطه منفی و شاخص گردی بدن با شاخص توده بدنی(83/0=r)، درصد چربی بدن (65/0=r) و نسبت کمر به لگن رابطه مثبت (59/0=r) معنیداری و با میزان فعالیت بدنی رابطه منفی (22/0-=r) معنیدار داشت.
نتیجه‌گیری: با توجه به نتایج تحقیق، شاخص شکل بدن، گردی بدن و نسبت کمر به لگن در بیماران قلبی عروقی نسبت به افراد سالم فعال بطور معنی‌داری بیشتر بود. همچنین، شاخص شکل بدن و بدن گردی در بیماران قلبی با تعداد بیشتری از شاخص‌های آنتروپومتری ارتباط معنیدار داشتند.

کلیدواژه‌ها

موضوعات

سالمندان

عنوان مقاله [English]

The comparison of a Body Shape Index and Body Roundness Index and association with physical activity and anthropometric indices in healthy middleage and elderly women and with cardiovascular diseases

نویسندگان [English]

mahbobeh ziari ¹
Amin Farzaneh hesari ²

¹ MSc in Physical Education and Sports Sciences, Sari Branch, Islamic Azad University, Sari, Iran.

² PhD, department of Physical Education and Sports Sciences, Sari Branch, Islamic Azad University, Sari, Iran

چکیده [English]

Introduction: The Body Mass Index (BMI) and Waist circumference (WC) are well-used anthropometric predictors for cardiovascular diseases (CDV). Recently, two new anthropometric indices, the A Body Shape Index (BSI) and Body Roundness Index (BRI) have been developed. The main research aim is to compare BSI and BRI in healthy women and cardiovascular diseases and association between both with physical activity and anthropometric indices in middle-age and elderly women.
Materials and Methods: This cross-sectional observational study was carried out on 269 people (136 healthy women and 133 CDV) aged 40 to 70. Physical activity level was measured with IPAQ-SE and Participants divided into seven groups, based on physical activity level and CDV: CDV, active CDV risk factors, moderate active CDV risk factors, low active CDV risk factors, active healthy, moderate active healthy and low active healthy. A variety of anthropometric parameters were measured and calculated, including BSI, BRI, WC, BMI, fat mass percentage (%FM). For analyzing the data, one-way ANOVA test and Pearson correlation coefficient was used.
Results: Significant increase for BSI (p=0/036) and BRI were observed in CDV than active healthy. In CDV, the relationship between BSI with WHR (r=0/59), physical activity level (r=-0/36) and between BRI with BMI (r=0/83), WHR (r=0/59), %FM (r=0/65) and physical activity level (r=0/22) was significant. Conclusion: The present study indicated that BRI, BSI and WHR were significant higher in CDV than healthy women. In CDV, BRI and BSI correlated with more anthropometric measures.
Received

کلیدواژه‌ها [English]

anthropometric indices
body shape index
body roundness index
cardiovascular diseases

مراجع

[1]. Flegal KM, Kit BK, Orpana H, Graubard BI. Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis. JAMA. 2013; 309: 71–82.

[2]. Camici M, Galetta F, Capri A: Obesity and increased risk for atherosclerosis and cancer. Int Med. 2014, 24(12): 47-56.

[3]. Sun G, French CR, Martin GR, Younghusband B, Green RC, Xie Y, et al. Comparison of multifrequency bioelectrical impedance analysis with dual-X-ray absorptiometry for assessment of percentage body fat in a large, healthy population. Am J Clin Nutr. 2005; 81: 74–8.

[4]. Camhi SM, Bray GA, Bouchard C, Greenway FI, Johnson WD, Newton RL, et al. The relationship of waist circumference and BMI to visceral, subcutaneous, and
total body fat: sex and race differences. Obesity. 2011; 19: 402–8.

[5]. Feller S, Boeing H, Pischon T. Body mass index, waist circumference, and the risk of type 2 diabetes mellitus. Dtsch Arztebl Int. 2010; 107: 470–6.

[6]. Flint AJ, Rexrode KM, Hu FB, Glynn RJ, Caspard H, Manson JE, et al. Body mass index, waist circumference, and risk of coronary heart disease: a prospective study among men and women. Obes Res Clin Pract. 2010; 4: 171– 81.

[7]. Feng R-N, Zhao C, Wang C, Niu Y-C, Li K, Guo F-C, et al. BMI is strongly associated with hypertension and waist circumference is strongly associated with type 2 diabetes and dyslipidemia, in northern Chinese adults. J Epidemiol. 2012; 22: 317–23.

[8]. Krakauer NY, Krakauer JC. A new body shape index predicts mortality hazards independently of body mass index. PLoS ONE. 2012; 7: 39504.

[9]. Thomas DM, Bredlau C, Bosy-Westphal A, Mueller M, Shen W, Gallagher D, et al. Relationships between body roundness with body fat and visceral adipose tissue emerging from a new geometrical model. Obesity 2013, 21(11): 2264-2271.

[10]. Odegaard AO, Pereira MA, Koh W-P, Gross MD, Duval S, Yu MC, et al. BMI, all-cause and cause-specific mortality in Chinese Singaporean men and women: the Singapore Chinese health study. PLOS ONE. 2010; 23: 39-51.

[11]. Maessen MFH, Eijsvogels TMH, Verheggen RJ, Hopman MT, Verbeek AL, de Vegt F. Entering a new era of body indices: The feasibility of a Body Shape Index and Body Roundness Index to identify cardiovascular health status. PLoS One. 2014, 9(9): 107- 119.

[12]. Mameli C, Zuccotti GV, Carnovale C, Galli E, Nannini P, Cervia D, et al. An update on the assessment and management of metabolic syndrome, a growing medical emergency in paediatric populations. Pharmacol Res. 2018; 119: 99±117.

[13]. Bertoli S, Leone A, Krakauer NY, Bedogni G, Vanzulli A, Redaelli VI, et al. Association of Body Shape Index (ABSI) with cardio-metabolic risk factors: A cross-sectional study of 6081 Caucasian adults. PLoS ONE. 2017; 12(9): 514-526.

[14]. Kokinos P, Myers J, Faselis C, Doumas M, Kheirbek R, Nylen E. BMI-mortality paradox and fitness in African American and Caucasian men with type 2 diabetes. Diabetes Care. 2012; 35: 1021–7.

[15]. Zaccagni L, Barbieri D, Gualdi-Russo E. Body composition and physical activity in Italian university students. J Transl Med. 2014; 12:120.

[16]. Motefaker M, Sadr-bafghi SM, Rafiee M, Bahadorzadeh L. Namayandeh SM, Karimi M, et al. Epidemiology of physical activity; a population based study in Yazd city. Tehran Uni Med J. 2007; 65: 77-81.

[17]. Skretteberg PT, Grundvold I, Kjeldsen SE, Erikssen JE, Sandvik L, Liestøl K, et al. HDL-cholesterol and prediction of coronary heart disease: Modified by physical fitness? A 28-year follow-up of apparently healthy men. Atherosclerosis. 2012; 220(1): 250-256.

[18]. Smith SC Jr, Blair SN, Bonow RO, Brass LM, Cerqueira MD, Dracup K, et al. AHA/ACC Guidelines for Preventing Heart Attack and Death in Patients with Atherosclerotic Cardiovascular Disease: 2001 Update A Statement for Healthcare Professionals from the American Heart Association and the American College of Cardiology. Circulation. 2001; 104(13): 1570-79.

[19]. Kelishadi R, Ardalan G, Gheiratmand R, Gouya M, Razaghi EM, Delavari A, et al. Association of Physical activity and dietary behaviors in relation to the body mass index in a national sample of Iranian children and adolescents: CASPIAN study. Bull Word Health Orga. 2007; 85: 19-26.

[20]. Eston R, Reilly T. Kin anthropometry and exercise physiology laboratory manual. Sport Med. 2012; 14: 75661.

[21]. Krakauer NY, Krakauer JC. Dynamic association of mortality hazard with body shape. PLoS One. 2014, 9(2): 88793.

[22]. Duncan MJ, Mota J, Vale S, Santos MP, Ribeiro JC. Associations between body mass index, waist circumference and body shape index with resting blood pressure in Portuguese adolescents. Ann Hum Biol. 2013; 40(2): 163–167.

[23]. Abete I, Arriola L, Etxezarreta N. Association between different obesity measures and the risk of stroke in the EPIC Spanish cohort. Eur J Nutr. 2015; 54: 365–75.

[24]. Afsar B, Elsurer R, Kirkpantur A. Body shape index and mortality in hemodialysis patients. Nutrition. 2013, 29(10): 1214-1218.

[25]. He S, Chen X. Could the new body shape index predict the new onset of diabetes mellitus in the chinese population? PLoS One. 2013; 8: 505-14.

[26]. Fujita M, Sato Y, Nagashima K, Takahashi S, Hata A. Predictive power of a body shape index for development of diabetes, hypertension, and dyslipidemia in Japanese adults: a retrospective cohort study. PLoS One. 2015; 10: 87-99.

[27]. Chang Y, Guo X, Li T. A body shape index and body roundness index: two new body indices to identify left ventricular hypertrophy among rural populations in northeast China. Heart Lung Circ. 2016; 25: 358–64.

[28]. Liu P, Ma F, Lou H, et al. Utility of obesity indices in screening Chinese postmenopausal women. Menopause 2014; 21: 509–14.

[29]. Haghighatdoost F, Sarrafzadegan N, Mohammadifard N, Asgary S, Boshtam M, Azadbakht L. Assessing body shape index as a risk predictor for cardiovascular diseases and metabolic syndrome among Iranian adults. Nutrition. 2014; 30: 636–44.

[30]. Dhana K, Kavousi M, Ikram MA, Tiemeier HW, Hofman A, Franco OH. Body shape index in comparison with other anthropometric measures in prediction of total and causespecific mortality. J Epidemiol Community Health. 2016; 70, 90–96.

[31]. Yin Bun C. Body Shape Index in middle-age and older Indonesian population: scaling exponents and association with incident hypertension. PLoS One. 2014; 9(1): 67-82.

[32]. Browning LM, Hsieh SD, Ashwell M. A systematic review of waist-toheight ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0.5 could be a suitable global boundary value. Nutr Res Rev. 2012; 23: 247– 269.

[33]. Ashwell M, Gunn P, Gibson S. Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta-analysis. Obes Rev. 2012; 13: 275–286

[34]. Zhang X, Shu X-O, Yang G, Li H, Cai H, Gao Y-T, et al. Abdominal adiposity and mortality in Chinese women. Arch Intern Med. 2007; 167: 886–892.

[35]. Santos DA, Silva AM, Matias CN, Magalhaes JP, Minderico CS, Thomas D, et al. Utility of novel body indices in predicting fat mass in elite athletes. Nutrition. 2015; 31, 948–954.

[36]. Tian S, Zhang X, Xu Y, Dong H. Feasibility of body roundness index for identifying a clustering of cardiometabolic abnormalities compared to BMI, waist circumference and other anthropometric indices: the China Health and Nutrition Survey, 2008 to 2009. Med J. 2016; 95-111.

مجله دانشگاه علوم پزشکی سبزوار

مقایسه شاخصهای گردی بدن و شکل بدن و ارتباط آنها با سطوح فعالیت بدنی و دیگر شاخص های آنتروپومتری در زنان مینسال و سالمند مبتلا به بیماری قلبی عروقی و سالم

مراجع

مراجع

دوره 27، شماره 6
بهمن و اسفند 1399
صفحه 778-786

مقایسه شاخصهای گردی بدن و شکل بدن و ارتباط آنها با سطوح فعالیت بدنی و دیگر شاخص های آنتروپومتری در زنان مینسال و سالمند مبتلا به بیماری قلبی عروقی و سالم

مراجع

مراجع

دوره 27، شماره 6بهمن و اسفند 1399صفحه 778-786

دوره 27، شماره 6
بهمن و اسفند 1399
صفحه 778-786