scholarly journals Performance Factors in Dinghy Sailing: Laser Class

Author(s):  
Israel Caraballo ◽  
José Luis González-Montesinos ◽  
Antonio Alías

Despite the relationship between performance and anthropometric characteristics, strength, and endurance in the action of dinghy hiking, there is no equation to predict the position obtained in competition. The purpose of this study was to examine the effects of anthropometric characteristics, strength, and endurance on the performance of the sailor. Twenty-nine male sailors of the Laser class were evaluated according to age, navigation experience, strength and resistance tests in a simulator, body weight, size, sitting height, Body Mass Index (BMI), body fat percentage, trochanteric length, thigh length, tibial length, foot length, abdominal perimeter, and upper thigh perimeter. The results show that the variables were related to performance are age, navigation experience, height, and length of the thigh. The variables that are most related to performance are age and sailing experience. Seventy-six percent of the performance can be estimated using the following equation: 311.971 + (−1.089 × height) + (−1946 × age) + (−1.537 × thigh length). Performance in the Laser class will be determined by the tactics (age and sailing experience) and the morphological characteristics of the sailor (height and sitting height).

2020 ◽  
Vol 33 (8) ◽  
pp. 975-982
Author(s):  
Pâmela Ferreira Todendi ◽  
J. Alfredo Martínez ◽  
Cézane P. Reuter ◽  
Elisa I. Klinger ◽  
Marilu Fiegenbaum ◽  
...  

AbstractObjectivesEvaluate the influence of the genetic variant rs9939609 of the FTO gene on anthropometric characteristics and whether parental obesity is related to children and adolescents being overweight.MethodsA total of 2,364 children and adolescents between 6 and 17 years old were genotyped and the lipid profile, plasma glucose level, and anthropometric characteristics were measured to assess adiposity.ResultsThe AA genotype (risk) was associated with higher body mass index (BMI Z-score; p = 0.006), waist circumference (WC; p = 0.001), and triglycerides (p = 0.033). The association of the participants’ adiposity characteristics with the parents’ BMI and FTO genotypes showed an association of the BMI Z-score when either the mother or father was overweight or obese (p = 0.028 and p = 0.029). In the overweight or obese father/eutrophic mother, we also observe an association of FTO rs9939609 with WC (p = 0.039). The effect of these variables on the risk of obesity was also tested: overweight or obese mother (OR = 1.82, p = 0.041), overweight and obese parents (OR = 3.09, p < 0.0001), and FTO rs9939609 AA genotype (OR = 2.08, p = 0.0004) were associated. With regard to altered WC and high body fat percentage (BF%), either overweight or obese parents (OR = 2.39, p < 0.0001; OR = 1.92, p < 0.002) showed an association. The FTO rs9939609 AA genotype (OR = 1.99, p = 0.0002) was associated with altered WC.ConclusionsThe results show that parental weight also contributes to obesity and may interact with the FTO genetic make-up.


2017 ◽  
Vol 22 (11) ◽  
pp. 3689-3698
Author(s):  
Gerson Luis de Moraes Ferrari ◽  
Timóteo Araújo ◽  
Luis Carlos Oliveira ◽  
Victor Keihan Rodrigues Matsudo ◽  
Emily Mire ◽  
...  

Abstract The purpose of this study was to determine the relationship between peak cadence indicators and body mass index (BMI) and body fat percentage (BF%)-defined weight status in children. The sample comprised 485 Brazilian children. Minute-by-minute step data from accelerometry were rank ordered for each day to identify the peak 1-minute, 30-minute and 60-minute cadence values. Data were described by BMI–defined and bioelectrical impedance-determined BF% weight status. BMI-defined normal weight children had higher peak 1-minute (115.5 versus 110.6 and 106.6 steps/min), 30-minute (81.0 versus 77.5 and 74.0 steps/min) and 60-minute cadence (67.1 versus 63.4 and 60.7 steps/min) than overweight and obese children (p<.0001), respectively. Defined using %BF, normal weight children had higher peak 1-minute (114.5 versus 106.1 steps/min), 30-minute (80.4 versus 73.1 steps/min) and 60-minute cadence (66.5 versus 59.9 steps/min) than obese children (p<.0001). Similar relationships were observed in boys; however, only peak 1- minute cadence differed significantly across BMI and %BF-defined weight status categories in girls. Peak cadence indicators were negatively associated with BMI and BF% in these schoolchildren and significantly higher among normal weight compared to overweight or obese children.


2020 ◽  
Author(s):  
Xia Sun ◽  
Liping Chen ◽  
Rongzhen Wu ◽  
Dan Zhang ◽  
Yinhui He

Abstract Background: This study compared the relationship between thyroid hormones and lipid metabolism/body fat content in euthyroid male patients with type 2 diabetes mellitus (T2DM) in China. Methods: A total of 64 male patients who were diagnosed as T2DM and 64 non-diabetic males who underwent health examination were matched according to age at a 1:1 ratio. Results: The 32 subjects in each sub-group showed differences in age, body mass index (BMI), mean arterial pressure, waist circumference, visceral fat content, body fat percentage, HbA1c, HOMA-IR, FT3, TSH, HDL-c, adiponectin, leptin, visfatin and TNF-α (all P < 0.05). In the overall population, FT3 was positively correlated with body fat percentage (r=0.21, P=0.02), and negatively correlated with HOMA-IR (r=-0.18, P=0.04) and visfatin (r=-0.47, P <0.01); TSH was positively correlated with body fat percentage (r=0.23, P=0.01). In the T2DM-OB group FT3 was positively correlated with BMI (r=0.45, P <0.05), visceral fat content (r=0.50, P <0.05), and body fat percentage (r=0.44, P <0.05); FT4 was positively correlated with visceral fat content (r=0.38, P <0.05); and TSH was positively correlated with HOMA-IR (r=0.39, P <0.05). Conclusion: TSH increased in obese people and FT3 was lower in patients with T2DM.


Nutrients ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1219
Author(s):  
Jakub Mesinovic ◽  
Helena J. Teede ◽  
Soulmaz Shorakae ◽  
Gavin W. Lambert ◽  
Elisabeth A. Lambert ◽  
...  

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder among women of reproductive age, with hyperandrogenism present in up to 90% of affected women. Some evidence suggests a link between vitamin D deficiency and PCOS features via insulin resistance and inflammation. Our aim was to explore the relationship between biochemical markers of vitamin D status and androgens in women with PCOS. This cross-sectional study used bio-banked samples from 46 pre-menopausal women with PCOS (mean ± SD: age 30 ± 6 years; BMI 29 ± 6 kg/m2). We measured 25-hydroxyvitamin D (25[OH]D), vitamin D-binding protein (DBP), total testosterone, sex hormone-binding globulin (SHBG), and calculated the free androgen index (FAI) and bioavailable and free 25(OH)D. Fasting glucose and insulin were used to calculate the homeostatic model assessment of insulin resistance (HOMA-IR) and body fat percentage was determined via dual energy x-ray absorptiometry. High-sensitivity C-reactive protein (hs-CRP) was measured as a marker of inflammation. DBP was positively associated with total 25(OH)D and expectedly, negatively associated with free 25(OH)D. There were no associations between vitamin D metabolites and total testosterone, SHBG or FAI, even after adjusting for age, body fat percentage, HOMA-IR and hs-CRP. We found no associations between vitamin D metabolites and androgens in women with PCOS. Studies that have identified a vitamin D–androgen link have largely relied on methodology with numerous pitfalls; future studies should exclusively use gold-standard measures to confirm these findings in this population.


2008 ◽  
Vol 40 (Supplement) ◽  
pp. S272-S273
Author(s):  
Joshua C. Neuman ◽  
Sigurbjörn Á. Arngrímsson ◽  
Daina M. Mallard ◽  
Gunnhildur Hinriksdóttir ◽  
Annie L. Parrett ◽  
...  

2010 ◽  
Vol 105 (2) ◽  
pp. 316-321 ◽  
Author(s):  
K. Corder ◽  
E. M. F. van Sluijs ◽  
R. M. Steele ◽  
A. M. Stephen ◽  
V. Dunn ◽  
...  

Studies show an inverse relationship between breakfast frequency and weight gain. This may reflect poor eating habits generally and associated low physical activity (PA) or direct impacts of breakfast on mechanisms leading to lethargy and reduced PA. The relationship between breakfast frequency and PA is inconclusive. We aimed to determine whether breakfast frequency is associated with PA levels in British adolescents independent of body composition and socio-economic status (SES). Habitual breakfast frequency (self-report questionnaire) was assessed in 877 adolescents (43 % male, age 14·5 (sd 0·5) years old). PA was measured over 5 d (accelerometry, average counts/min; cpm). Associations between daily PA and breakfast frequency were assessed using linear regression adjusted for body fat percentage and SES. Effect modification by sex and associations with PA during the morning (06.00–12.00 hours) were explored. For boys, there were no significant associations between breakfast frequency and PA. For girls, less frequent breakfast consumption was significantly associated with lower PA (cpm) during the morning (occasional v. frequent β − 6·1 (95 % CI − 11·1, − 1·1), P = 0·017) when adjusted for body fat percentage and SES. There were no associations between PA and breakfast consumption over the whole day; however, for girls, less frequent breakfast consumption may be associated with lower PA levels during the morning, suggesting that breakfast consumption should perhaps be taken into consideration when aiming to promote PA in adolescent girls.


2021 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Suci Eka Putri ◽  
Adelina Irmayani Lubis

Body mass index (BMI) is to monitor nutritional status adults, especially those related to deficiency and overweight. Body fat percentage can describe the risk of degenerative diseases.This study was conducted to measure the relationship between BMI and body fat percentage. Methods An analytical study was conducted to 41 male and 51 female participant from Universitas Teuku Umar. The body weight was measured using scales, whereas the body height was measured using microtoise. The body fat percentage was measured using Karada Scan. The BMI was calculated by dividing the body weight in kilogram divided by body height in meter square. Data was collected from 16-18th February 2021 and analyzed by Pearson’s correlation test. The results showed BMI underweight, normal, and overweight were 10,9, 57,6, and 31,5. High body fat percentage in men were 75,6% and in women were 35,5%. There is a relationship between the nutritional status of the women group and the body fat percentage with p-value is obtained = 0.021. Furthermore, for men, there is no relationship between nutritional status in the men group and the body fat percentage. There is a relationship between nutritional status and body fat percentage in women. Among this population, BMI can still be used to determine body fat percentage


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