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Plasma levels of leptin and ghrelin and their correlation with BMI, and circulating lipids and glucose in obese Tunisian women

lipid variables in a group of obese women compared with a control group of healthy women; and to explore the existence of possible correlations between leptin, ghrelin, BMI, and lipid variables among Tunisians. Materials and methods Population After approval of the National Ethics Committee for the implementation of this study, we recruited 40 obese women and 20 female controls. They were matched by age. Obese women were recruited from nursing unit “C” of the National Institute of Nutrition and Food Technology (INNTA). A woman was considered obese when her

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Physical activity of female children and adolescents based on step counts: meeting the recommendation and relation to BMI

. Al-Nakeeb (2010) The relationship between pedometer-determined physical activity, body mass index and lean body mass index in children. Int. J. Pediatr. Obes., 5: 445-450, DOI: 10.3109/17477160903568421. 15. Elgar F.J., J.M. Stewart (2008) Validity of self-report screening for overweight and obesity. Evidence from the Canadian Community Health Survey. Can. J. Public Health, 99: 423-427. 16. Erkelenz N., S. Kobel, S. Kettner, C. Drenowatz, J.M. Steinacker (2014) Parental Activity as Influence on Children`s BMI Percentiles and Physical Activity. J. Sports Sci. Med

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Secular Trends in BMI and Waist Circumference and the Prevalence of Overweight and Obesity in Austrian Candidates for Conscription from 2007 To 2016

References [1] Floris J, Koepke N, Bender N, Rühli F, Staub K: Der Body Mass Index der SchweizerStellungspflichtigen 2015 (Teil A).Fünfter Wissenschaftsaustausch MOSEB . [2] Lean M E J, Katsarou C, McLoone P,Morrison D S:Changes in BMI and waist circumference in Scottish adults: use of repeated cross-sectional surveys to explore multiple age groups and birth-cohorts. International Journal of Obesity, 37 (Suppl 6): 800-803, 2013. [3] Wallner A, Hirz A, Schober E, Harbich H, Waldhoer T:Evolution of cardiovascular riskfactors among 18-year

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Somatic Changes of University Students in BMI and WHR


The article dealt with the assessment of somatic changes of the students at the Slovak University of Technology (STU), Faculty of Mechanical Engineering (FME), specifically expressed by Body Mass Index (BMI) and Waist Hip Ratio (WHR) during the years 2007 and 2013. In total 2228 men were involved in the study and measured upon their entry at the university. It was found out that the values of BMI belonged to the category of average range measured for adults (from 22.96 kg.m-2 to 24.60 kg.m-2) and indicates standard values. Statistically significant differences (p<0.01) were discovered between the years 2011 (23.70 kg.m-2) and 2012 (24.60 kg.m-2), 2012 (24.60 kg.m-2) and 2013 (22.96 kg.m-2). In 2012 participants achieved in average the highest values (BMI = 24.60 kg.m-2), which borders with a moderate overweight. In the contrary, in 2013 the students achieved the lowest values of BMI (22.96 kg.m-2). A slight increase of average BMI values may be observed from the first test in 2007 until 2012. The predominance of standard weight was measured at 71% of the total number of monitored students and the predominance of overweight was measured at 22% of students from the total number of university students. The observation of WHR numbers makes us conclude that during our seven year study no significant differences were discovered in the first five years. The values were stable and from the mean point of view, they do not indicate the risk of development of diseases relating to overweight and obesity. In 2012 and 2013 a slight decrease of WHR values was detected < 0.85. Statistically significant differences (p<0.05) were discovered between the years 2010 (0.854) and 2011 (0.864), and also between 2011 (0.864) and 2012 (0.843). The lowest mean value of WHR was measured when performing the last test in the year 2013 (0.823). There was a statistically significant difference at p<0.05 within the years 2012 and 2013. The highest mean value was discovered in 2011 (0.864). However, the average values achieved in a group of students were lower than 1.0, which can be evaluated as a set with no risk of obesity and overweight disease development.

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Physical activity among nursing students measured with the International Physical Activity Questionnaire and their BMI


Introduction. Excessive body weight associated with modern lifestyle may result from overeating due to stress, sleep deprivation leading to increased appetite, insufficient physical activity and changes in dietary habits.

Aim. The aim of the study was to assess the amount of physical activity among female working undergraduate and graduate nursing students and the influence of this activity on their BMI values.

Material and methods. Undergraduate extramural students consisted 58 students (group I) and graduate full-time and extramural students – 45 (group II). The research involved calculating each student’s BMI value which was categorized in accordance with the World Health Organization (WHO) recommendations. The measurement of physical activity was conducted on the basis of the International Physical Activity Questionnaire (IPAQ).

Results. Group I students more frequently presented abnormal body weight, with 47% being overweight. In group II, 24.5% of the respondents were overweight and 4.5% were underweight. We revealed a significant correlation between the time spent on intensive physical activity, both at work and during recreation at home, and the BMI value decreases as the time devoted to intensive physical activity increases.

Conclusions. The education system is recommended to be redesigned in such a way as to enable students to spend more time on physical activity.

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Body mass index and percentage of body fat determined physical performance in healthy personnel

community-dwelling elderly? J Am Geriatr Soc. 1994; 42:368-73. 7. Coakley EH, Kawachi I, Manson JE, Speizer FE, Willet WC, Colditz GA. Lower lrevels of physical functioning are associated with higher body weight among middle-age and older women. Int J Obes.1998; 22:958-65. 8. Jean W, Jason L, Timothy K. BMI, body composition, and physical functioning in older adults.Obesity. 2007; 15:1886-94. 9. Steven J. Impact of age on association between weight and mortality. Nutr Rev. 2000; 58:129-37. 10. Mhurchu NC

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Evaluation of somatic and functional parameters of cardiovascular and respiratory systems in rural women in Poland

występowania otyłości wśród studentek przy zastosowaniu klasyfikacji BMI i pomiaru szerokości nasady nadgarstkowej. Nowiny Lekarskie 71(1):40-43. Reece AC, Simpson JM. 1996. Preparing older people to copy after fall. Physiotherapy 82: 227-35. Rikli RE, Jones CJ. 1999. Functional fitness normative scores for community - residing older adults, ages 60-94. J Aging Phys Activ 7:162-81. Rożek-Mróz K. 2002. Zmienność wybranych parametrów czynnościowych układu oddechowego człowieka w świetle rozwoju morfofunkcjonalnego. Wrocław

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Secular Trends in the Physical Fitness of Underweight, Overweight, and Obese Girls

-2006. Biała Podlaska: WWFiS. [in Polish] 29. Kopelman P.G. (2000). Obesity as a medical problem. Nature 404, 635-643. DOI: 10.1038/35007508. 30. Supreme Audit Office (NIK), Department of Science, Education and National Heritage (2010). Information on audit results. Physical education and sport in public schools. Warsaw. [in Polish] 31. Mikiel-Kostyra K., Oblacińska A. (2010). Biological, behavioural, and psychosocial factors determining the body mass (BMI) of 13-year-olds. Research report. Warsaw: IMiD. [in Polish]

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The Relationship Between Pistol Olympic Shooting Performance, Handgrip and Shoulder Abduction Strength

to the participants’ profile Mean SD Age (years) 31.26 ± 11.21 Body height (m) 1.64 ± 0.06 Body mass (kg) 66.58 ± 12.22 BMI (kg/m 2 ) 24.63 ± 4.28 Experience (years) 9.09 ± 6.43 Training (hours per week) 7.13 ± 9.15 Performance (points) 359.39 ± 14.29 Participation in the study was voluntary and open to all competing shooters during the day previous to competition. According to the regulations of the Spanish Federation of Olympic Shooting, eligibility to compete required a

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Short term secular change in body size and physical fitness of youth 7–15 years in Southwestern Poland: 2001–2002 and 2010–2011

Hum Biol 34(3):329-43. Kozieł S. 2014. Charakterystyka przemian społeczno-ekonomicznych w latach 1966-2012. In: S Kozieł, N Nowak-Szczepańska and A Gomuła, editors. Antropologiczne badania dzieci i młodzieży w Polsce w latach 1966-2012. Zmiany sekularne i zróżnicowanie społeczne. Wrocław: Wydawnictwo Arboretum. 13-20. Lipowicz A, Łopuszańska M, Kołodziej H, Szklarska A, Bielicki T. 2015.Secular trends in BMI and the prevalence of obesity in young Polish males from 1965 to 2010. Eur J Public Health 25(2):279-82. Raport

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