scholarly journals Relationship between Eating Disorder, Body Fat Percentage, and Physical Activity among Sarawak Female National Athletes

Purpose: This study aimed to examine the eating disorder and physical activity in relation to type of sports and body fat percentages among national female athletes in Sarawak (N=150). Methodology: Eating Attitude Test (EAT-26) and Global Physical Activity Questionnaire (GPAQ) were employed to measure the eating disorders and physical activity. Anthropometric measurement and body composition (body fat percentage) were obtained. Results: Majority of the athletes were at low risk of an eating disorder (91.4%). Only a few indicated as high risk (8.6%). Moderately active athletes explained higher eating disorders in dieting, bulimia nervosa and food preoccupation. The non-weight sports athletes also exhibited higher eating disorders compared to its counterpart. Younger athletes were at higher eating disorder, but age was not significant in the subscales measured; except for food preoccupation where it was prominent in age 16 to 18 years old. Oral control did not associate with all the independent variables. Some relationships observed between body fat percentage and eating disorder and the subscales. Conclusion: There is a need for coaches’ attention and intervention on these athletes to prevent abnormal eating behavior among the young female athletes. This study highlights interesting findings where the less active athletes and the non-weight sports category athletes exhibit higher eating disorders issues.

2018 ◽  
Vol 39 (12) ◽  
pp. 916-923 ◽  
Author(s):  
Stine Vest ◽  
Jacob Frandsen ◽  
Steen Larsen ◽  
Flemming Dela ◽  
Jørn Helge

AbstractThe aim of the present study was to investigate if peak fat oxidation rate (PFO) is related to Ironman performance in female athletes. Thirty-six female Ironman athletes (age: 34±1 yrs, [21–45 yrs.] SEM [Range]) with a BMI of 22.1±2.0 kg/m2 [18.8–28.4 kg/m2], a body fat percentage of 24.8±1.0% [9.0–37.0%] and a V̇O2peak of 53.0±1.3 ml/min/kg [36.5–70.5 ml/min/kg] were tested in the laboratory prior to the Ironman Copenhagen 2017. Race time ranged from 9:17:07 to 15:23:48 with mean race time being 11:57:26 h:min:s (717 min). By simple linear regression analyses we found associations between race time and P FO (r2=0.22, p<0.005), V̇O2peak (r2=0.65, p<0.0001) and the relative exercise intensity eliciting PFO (Fatmax) (r2=0.35, p=0.0001). Furthermore, associations were found between race time and body fat percentage (r2=0.44, p<0.0001) and age (r2=0.16, p<0.05). By means of multiple regression analysis, V̇O2peak was the only statistically significant variable explaining 64% of the variation in race time (adj. r2=0.64, p<0.005). In conclusion, these results demonstrate that PFO is not independently related to Ironman performance in a heterogeneous group of female athletes. Interestingly, V̇O2peak alone was able to predict 64% of the variation in Ironman race times.


2021 ◽  
Author(s):  
Alexandre-Charles Gauthier ◽  
Marie-Eve Mathieu

Introduction Taste is a key sensory modulator of eating behaviour and thus energy intake. The effects of acute exercise has recently been confirmed especially regarding sweet and salty tastes. Physical activity is a safe and effective countermeasure to certain types of chemosensory losses, especially in older populations. Knowing that taste can be impaired with increased adiposity, it is unknown if the adoption of an active lifestyle on a regular basis can mitigate such impairments. Methods Data were extracted from NHANES 2013-2014 database. Perception of salt and bitter tastes for Tongue Tip Test and Whole Mouth Test, physical activity levels over an 8-9-day period and adiposity were analyzed. Moderation analyses were used to study the impact of adiposity on taste perceptions, with physical activity level as the moderator. Results The 197 participants (130 males) included in this project had a mean+/-standard deviation age of 49.1+/-5.2 years, a mean body fat percentage of 31.7+/-7.6% and mean daily physical activity levels of 11 084+/-3531 Monitor-Independent Movement Summary unit (MIMS). The positive association between adiposity and both bitter Tongue Tip Test and overall result (salt+bitter) of Tongue Tip Test were moderated by the adoption of an active lifestyle, with better taste scores observed in individuals achieving higher physical activity levels. When moderation analysis were stratified by gender, the effect of physical activity was no longer significant. Perspectives This study is the first to evaluate the influence of an active lifestyle on the preservation of some taste perceptions across a wide range of adiposity levels. While differences in taste can be observed regarding body fat percentage, physical activity moderates that relation only when men and women are analysed together.


2018 ◽  
Vol 1 (5) ◽  
Author(s):  
Guangyu Wang ◽  
Mei Zhen Zhang

Objective The majority studies focused on obesity prevention on physical activity and eating behavior. However, epidemiological studies have shown that sleep duration and sleep quality could be an adjustable risk factor for obesity. The aim of this study was to examine the associations of sleep quality with different measurement of obesity in Chinese university students. Methods A total of 481 college students aged 18-25 years volunteered to participate in this study. Sleep quality was assessed by Pittsburgh Sleep Quality Index (PSQI)questionnaire. International Physical Activity Questionnaire (IPAQ)was used to determine the physical activity, Psychological status was assessed by Self-Rating Depression Scale (SDS) and Self-Rating Anxiety Scale (SAS). Body height, weight and waist circumference are measured by a trained researcher. Body composition was evaluated by a bio-impedance device (InBody 230, South Korea). Independent sample t test was applied to compare the sleep characteristics, physical activity, obesity, depression and anxiety in different gender students. The associations among the dependent variables BMI, body fat percentage, and the independent variables age, sleep quality and sleep durations was examined using Multiple linear regression models. SPSS 22.0 (IMB SPSS Inc) was used for all statistical. Results The BMI (22.9±3.4 vs 21.6±3.2, p<0.001) of male students were significantly higher than that of female, but the percentage of body fat (18.7±6.9 vs 29.7±7.0, p<0.001) was lower than that of female. We observed a positive association between sleep quality and body fat percentage (β = 0.166, P = 0.037), and a negative association with age (β = -0.166, P = 0.008) in female students. Sleep quality was associated positively with BMI (β = 0.360, P<0.001), body fat percentage (β = 0.260, P<0.001), and age (β = 0.215, P<0.001) in male students; An inverse correlation between sleep duration and BMI (β = -0.141, P = 0.015), body fat percentage (β = -0.134, P = 0.022) was found, and a positive relationship with  anxiety scores (β = 0.331, P<0.001) in male students. while an inverse relationship was found with WHR (β = -0.236, P = 0.001), waist circumference (β = -0.169, P = 0.007), and a positive association between sleep duration with anxiety scores (β = 0.331, P<0.001) and depression scores (β = 0.415, P<0.001) in female students. Conclusions The obesity of male and female students goes up with the increase of total score of sleep quality, anxiety and depression, and goes down with the increase of sleep duration, physical activity time and energy consumption. Male obesity increases with age, but female obesity decreases with age. Among the importance of males' sleep duration and sleep quality in the obesity risk assessment, BMI and body fat percentages are more accurate, while for females, BMI and waist circumference is of no statistical significance.  


2019 ◽  
Vol 4 (3) ◽  
pp. 51
Author(s):  
Söğüt ◽  
Kaya ◽  
Altunsoy ◽  
Clark ◽  
Clemente ◽  
...  

The purposes of this study were to determine whether moderately physically active (MPA) and highly physically active (HPA) male (n = 96, age = 22.5 ± 1.7 years) and female (n = 85, age = 21.3 ± 1.6 years) young adults differed in their anthropometric obesity indices (AOIs), body fat percentage (BF%), and muscular strength, and also to examine the associations between physical activity level (PAL) and the abovementioned variables. Participants were measured for body height and weight, BF%, waist and hip circumferences, and maximal isometric grip strength. According to their PAL, estimated by the short version of the International Physical Activity Questionnaire, they were assigned to MPA and HPA subgroups. Regardless of gender, results indicated that participants in the MPA groups had significantly higher values of body weight, waist and hip circumference, BF%, and BMI than participants in the HPA groups. No significant differences were found between physical activity groups in terms of grip strength. The AOIs and BF% were found to be significantly and negatively correlated with the PAL in both genders. In conclusion, the findings of the study suggest that high habitual physical activity is associated with lower adiposity markers. However, the differences in the hand grip strength of the contrasting activity groups were negligible.


Author(s):  
Riki Tanaka ◽  
Sayuri Fuse ◽  
Miyuki Kuroiwa ◽  
Shiho Amagasa ◽  
Tasuki Endo ◽  
...  

Brown adipose tissue (BAT) plays a role in adaptive thermogenesis in response to cold environments and dietary intake via sympathetic nervous system (SNS) activation. It is unclear whether physical activity increases BAT density (BAT-d). Two-hundred ninety-eight participants (age: 41.2 ± 12.1 (mean ± standard deviation), height: 163.6 ± 8.3 cm, weight: 60.2 ± 11.0 kg, body mass index (BMI): 22.4 ± 3.0 kg/m2, body fat percentage: 25.4 ± 7.5%) without smoking habits were categorized based on their physical activity levels (a group performing physical activities including walking and moderate physical activity (WM) and a group performing WM + vigorous-intensity physical activities (VWM)). We measured the total hemoglobin concentration ([Total-Hb]) in the supraclavicular region, an index of BAT-d, and anthropometric parameters. [Total-Hb] was significantly higher in VWM than WM for all participant groups presumably owing to SNS activation during vigorous-intensity physical activities, and unrelated to the amount of total physical activity levels. Furthermore, multiple regression analysis revealed that BAT-d was related to visceral fat area and VWM in men and related to body fat percentage in women. We conclude that vigorous-intensity physical activities are associated with high BAT-d in humans, especially in men.


2015 ◽  
Vol 25 (suppl_3) ◽  
Author(s):  
H Radasevic ◽  
Z Sostar ◽  
S Jelusic ◽  
I Portolan Pajic ◽  
A Mestric ◽  
...  

2019 ◽  
Vol 8 (8) ◽  
pp. 1260 ◽  
Author(s):  
Blanca Gavilán-Carrera ◽  
Pedro Acosta-Manzano ◽  
Alberto Soriano-Maldonado ◽  
Milkana Borges-Cosic ◽  
Virginia A. Aparicio ◽  
...  

To explore the individual–independent relationships of sedentary time (ST) and physical activity (PA) (light and moderate-to-vigorous intensity (MVPA)), with sleep duration and body composition (waist circumference, body mass index (BMI), body fat percentage, and muscle mass index) in women with fibromyalgia, and to determine whether these associations are independent of physical fitness. This cross-sectional study involved 385 women with fibromyalgia. ST and PA were assessed by triaxial accelerometry, sleep duration was self-reported. Waist circumference was measured using an anthropometric tape, and body weight, body fat percentage, and muscle mass were estimated using a bio-impedance analyzer. In individual regression models, ST and sleep were directly associated with waist circumference, BMI, and body fat percentage (β between 0.10 and 0.25; all p < 0.05). Light PA and MVPA were inversely associated with waist circumference, BMI, and body fat percentage (β between −0.23 and −0.12; all p < 0.05). In multiple linear regression models, ST (β between 0.17 and 0.23), light PA (β between −0.16 and −0.21), and sleep duration (β between 0.11 and 0.14) were independently associated with waist circumference, BMI, and body fat percentage (all p < 0.05). MVPA was associated with waist circumference independent of light physical activity (LPA) and sleep duration (β = −0.11; p < 0.05). Except for MVPA, these associations were independent of physical fitness. These results suggest that longer ST and sleep duration, and lower PA levels (especially light intensity PA), are independently associated with greater adiposity, but not muscle mass, in women with fibromyalgia. These associations are, overall, independent of physical fitness.


2009 ◽  
Vol 44 (2) ◽  
pp. 142-147 ◽  
Author(s):  
Jean-Claude Pineau ◽  
Jean Robert Filliard ◽  
Michel Bocquet

Abstract Context: For athletes in disciplines with weight categories, it is important to assess body composition and weight fluctuations. Objective: To evaluate the accuracy of measuring body fat percentage with a portable ultrasound device possessing high accuracy and reliability versus fan-beam, dual-energy X-ray absorptiometry (DEXA). Design: Cross-validation study. Setting: Research laboratory. Patients or Other Participants: A total of 93 athletes (24 women, 69 men), aged 23.5 ± 3.7 years, with body mass index  =  24.0 ± 4.2 and body fat percentage via DEXA  =  9.41 ± 8.1 participated. All participants were elite athletes selected from the Institut National des Sports et de l'Education Physique. These participants practiced a variety of weight-category sports. Main Outcome Measure(s): We measured body fat and body fat percentage using an ultrasound technique associated with anthropometric values and the DEXA reference technique. Cross-validation between the ultrasound technique and DEXA was then performed. Results: Ultrasound estimates of body fat percentage were correlated closely with those of DEXA in both females (r  =  0.97, standard error of the estimate  =  1.79) and males (r  =  0.98, standard error of the estimate  =  0.96). The ultrasound technique in both sexes had a low total error (0.93). The 95% limit of agreement was −0.06 ± 1.2 for all athletes and did not show an overprediction or underprediction bias. We developed a new model to produce body fat estimates with ultrasound and anthropometric dimensions. Conclusions: The limits of agreement with the ultrasound technique compared with DEXA measurements were very good. Consequently, the use of a portable ultrasound device produced accurate body fat and body fat percentage estimates in relation to the fan-beam DEXA technique.


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