Anthropometric traits and aging: A cross-sectional survey in diabetic elderly women

Onisto, Nicoletta; Teofoli, Francesca; Zaccagni, Luciana; Gualdi‐Russo, Emanuela

doi:10.1016/j.archger.2008.01.007

Cited by 6 publications

(4 citation statements)

References 15 publications

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“…As a consequence of "hypokinesia", many negative consequences for human health occur. Numerous deformities of the locomotor system occur at a younger age, while various metabolic and cardiovascular diseases are present in the older population [1][2][3][4][5]. Low levels of PA most often lead individuals to an increased risk of obesity and cardiovascular disease [6].…”

Section: Introductionmentioning

confidence: 99%

Body composition in students physical education and sport: cross-sectional pilot study

Pavlović

2022

HSR

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Purpose: Young people who study physical education and sport are a priori regarded as having proper body structure and body composition. It is widely presumed that young who study physical education at one of several national universities of physical education (East Sarajevo) could be characterized with proper physique and body composition. Aim of the current study was to assess and analyze the body composition of a male students Physical Education and Sport, University East Sarajevo, by bioelectric impedance analysis and determine the significance of inter correlation coefficients. Material and methods: In study the participants consist 30 male students of Faculty of Physical Education and Sport, University of East Sarajevo, the III year of study (Body Height = 182.20 ± 6.89cm; Body Weight = 80.06 ± 8.80kg; Body Mass Index= 24.03 ± 2.58kg/m²). Results: of the study showed that the body composition is within the healthy (allowed) values recommended for this population of students (Body Fat=10.90kg or 13.62%; Body Muscle= 65.74kg or 82.40%; Body Water = 61.54%; Basal metabolic rate = 2045.07kCal; Daily calorie intake = 8436.56 kCal, etc.). Inter correlation coefficients showed inverse and significantly high correlation (p=0.000) between (inter correlation coefficient Fat-Muscle = -0.945), (inter correlation coefficients Fat-Water = -0.963) while direct correlation was achieved between (inter correlation coefficient Muscle-Water = 0.986). Conclusion: The obtained results of the study defined the appropriate body composition of the students, which is a consequence of their adequate physical activity and well-designed curricula at the home faculty. In the parameters of body composition, students of physical education and sports in East Sarajevo had a higher muscle component and lower values of fat component than other students as a result of their somatotype, way of studying, teaching and extracurricular physical activities.

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Section: Introductionmentioning

confidence: 99%

Body composition in students physical education and sport: cross-sectional pilot study

Pavlović

2022

HSR

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“…These traits were chosen among those considered to be important to track the athletes’ performances because they have landmarks on the skeleton and minimal changes during aging, within the limits of instrumental error. As our study included active and former sprinters, somatometric and physiometric characters which have a well-known relationship with age (such as height, weight, skinfold thicknesses) were excluded from this study [22,23]. All measurements were taken by trained anthropometrists according to the techniques recommended by Weiner and Lourie [24] (Lee and Piazza for AP distance) [3] and using specific equipment consisting of small and large calipers and an anthropometer (GPM, SiberHegner Ltd., Switzerland).…”

Section: Methodsmentioning

confidence: 99%

Performance prediction models based on anthropometric, genetic and psychological traits of Croatian sprinters

Zaccagni¹,

Lunghi²,

Barbieri³

et al. 2019

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Elite athletes differ from each other in their characteristics according to their discipline. This study aimed to identify performance predictors in elite Croatian sprinters taking into consideration their anthropometric, psychological and genetic characteristics. One hundred and four elite Croatian sprinters (68 males and 36 females) participated in this study. Of them, 38 are currently competing in the 100-metre dash. The others are former sprinters. The participants underwent direct anthropometric assessment. Participants were also tested by means of the Competitive State Anxiety Inventory-2 and for ACE and ACTN3 polymorphisms. Multiple linear regression analysis was applied to identify the best model for performance prediction. Different models were developed for males and females. Anthropometric traits accounted for 44% of the variance in performance for males, 62% for females. Once other traits (psychological for females) were entered into the model, no additional contribution to the variance was observed. The most significant predictors of higher running velocity were bicristal diameter and foot dimensions in males, and leg length and clean one-repetition maximum in females. The findings suggest that performance in sprinters is associated with anthropometric characteristics, with biomechanical implications that may be used to provide a more complete evaluation of sprinters’ performance.

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“…The other two studies done in Caucasian older women reported that, those who had type-2 diabetes had statistically signifi cantly higher body weight, BMI, triceps skinfold thickness, and WC than nondiabetic women (Kubena et al 1991 ;Onisto et al 2009 ) . Relative weight (observed body weight expressed as a percentage of the suggested weight for adult men or women of similar height and medium frame) also correlated with serum glucose level in nondiabetic women with the r -value of 0.44 ( p < 0.01) (Yearick 1978 ) .…”

Section: Diabetes Mellitusmentioning

confidence: 96%

Anthropometric Aspects and Common Health Problems in Older Adults

Assantachai

2012

Handbook of Anthropometry

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The fast-growing numbers of older people worldwide and their health needs is coming under greater scrutiny, especially in developing countries where the rate of such growth is in the highest range. When compared to other age groups, nutritional problems are the most prevalent within older age group. Anthropometry is one of the ideal tools for nutritional assessment, either for underand over-nutrition since it is cheap, easy to use and practical even in remote communities, comparable and requires no need for any sophisticated laboratory test or staff training. Although the traditional body mass index is commonly used for nutritional assessment both in clinical and research practices, its denominator, height, decreases rapidly in older age giving rise to a falsely high value in older people especially those who suffer from kyphoscoliosis. An alternative set of anthropometric measurements, namely, demiquet for older men and mindex for older women, is developed to compensate for this fault. Apart from nutritional assessment, more studies recently also highlight the potentials of anthropometry in assessing some other common health risks in older people such as atherosclerosisrelated disorders, cognitive decline, osteoporosis, poor activity of daily living and all-cause mortality. However, in view of the physiologic aging changes and other confounding factors, the information found in younger age groups cannot be projected to and used directly in older adults. Some alternative anthropometric measurements and their interpretation must be recognized and developed. Abbreviations ADL

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Anthropometric traits and aging: A cross-sectional survey in diabetic elderly women

Cited by 6 publications

References 15 publications

Body composition in students physical education and sport: cross-sectional pilot study

Body composition in students physical education and sport: cross-sectional pilot study

Performance prediction models based on anthropometric, genetic and psychological traits of Croatian sprinters

Anthropometric Aspects and Common Health Problems in Older Adults

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