scholarly journals Effects of maintaining different body positions on attentional allocation of obese and non-obese women

Kinesiology ◽  
2019 ◽  
Vol 51 (2) ◽  
pp. 271-275
Author(s):  
Fernando Garbeloto dos Santos ◽  
Umberto Cesar Côrrea ◽  
Ricardo Drews ◽  
Go Tani ◽  
Flavio Henrique Bastos

Studies have shown that obese individuals may require more attentional resources to perform postural control compared to non-obese individuals. However, it is unclear if this difference in the allocation of attention can only be observed in body positions that lead to a higher level of instability. The objective of this study was to investigate if obesity affects the allocation of attention for maintaining body postures with different levels of balance demand. Ten obese women (BMI=41.7±8.5) and ten non-obese women (BMI=21.8±1.3) volunteers were assigned into two groups (M age=39.7±7.6): obese and eutrophic. The visual reaction time simultaneous with the maintenance of the body positions with different levels of balance demand (sitting, standing and unipedal stance) was used to infer the allocation of attentional resources. A longer reaction time was observed in the unipedal stance, compared to the other positions, for both groups. However, no difference was observed between the obese and eutrophic groups, for any of the body positions. The results diverge from the existing literature, showing that obesity does not affect the allocation of attention for postural control.

2020 ◽  
Vol 1 (2) ◽  
pp. 14-18
Author(s):  
Neeti Bhat ◽  
Narayan Bahadur Mahotra ◽  
Lava Shrestha ◽  
Vibina Aryal ◽  
Nirmala Rayamajhi ◽  
...  

Introduction: Obesity is a chronic condition with an increase in adipose tissues. It is known to affect various systems of body including the central nervous system. Reaction time is a measure of the integrity of the central nervous system which is an integrated voluntary response to a stimulus that includes receiving and processing of stimulus, drawing inference, and generating a motor response. This study was conducted with the objective of finding a relationship between body mass index, a measure of obesity and simple visual reaction time. Materials and methods: This cross-sectional analytical study was conducted on 60 participants aged 18-25 years. The body mass index of participants was calculated using Quetelet’s index, calculated by weight in kilograms divided by square of height in meter. Deary-Liewald reaction time task software version 3.10 was used to analyze their simple visual reaction time. Correlation of reaction time and body mass index was assessed using Pearson’s correlation test. Results: A weak positive correlation (r= 0.17) was observed between body mass index and simple visual reaction time but the correlation coefficient was not statistically significant (p=0.19). Conclusions: Slower visual reaction time with an increase in body mass index was noted. But the findings of current study were inadequate to deduce if any linear relationship exists between simple visual reaction time and body mass index.


2021 ◽  
Vol 23 (4) ◽  
pp. 347-351
Author(s):  
Reena Kumari Jha ◽  
Samjhana Thapa ◽  
Roshan Kasti ◽  
Sumi Singh

Reaction time is an indirect index of the processing speed of the central nervous system. It is affected by several factors including dominant and non-dominant hands and obesity. Obesity can be measured by body mass index. Thus, the aim of this study was to find out the relationship between body mass index, dominant and non-dominant hand with visual reaction time in healthy young females. A cross-sectional study was conducted in the Department of Physiology, among 89 females. The height and weight were recorded, and the body mass index was calculated. The subjects were divided into four groups, underweight, normal weight, overweight, and obese according to WHO criteria. Visual reaction time was measured using the ruler drop method in milliseconds. The data were analyzed by using the paired t-test and one-way ANOVA using the IBM Statistical Package for the Social Sciences version 22. Out of 89 participants, 26 (29.21%) were underweight, 47 (52.80%) had normal weight, 12 (13.48%) and four (4.49%) were overweight and obese with mean reaction time in the dominant hand and non-dominant hand were (176.75±16.68 vs. 186.58±16.21), (175.12±15.03 vs. 185.43±15.64), (188.74±16.07 vs. 190.70±17.88), and (200.7±9.77 vs. 210.50±9.50) respectively. All participants were right-handers. In right-handers, the right hand reacted faster than the left hand. Reaction time was prolonged in underweight, overweight,and obese; when compared with normal weight individuals. Our study showed that the reaction time of people appears to be influenced by body mass index, dominant, and non-dominant hand, which was an indirect measure of the sensory motor association.


Nutrients ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1795 ◽  
Author(s):  
Angelos Vlahoyiannis ◽  
George Aphamis ◽  
Eleni Andreou ◽  
George Samoutis ◽  
Giorgos Sakkas ◽  
...  

The aim of the current study was to investigate the effect of the glycemic index of post-exercise meals on sleep quality and quantity, and assess whether those changes could affect the next day’s exercise performance. Following a baseline/familiarization phase, 10 recreationally trained male volunteers (23.2 ± 1.8 years) underwent two double-blinded, randomized, counterbalanced crossover trials. In both trials, participants performed sprint interval training (SIT) in the evening. Post-exercise, participants consumed a meal with a high (HGI) or low (LGI) glycemic index. Sleep parameters were assessed by a full night polysomnography (PSG). The following morning, exercise performance was evaluated by the countermovement jump (CMJ) test, a visual reaction time (VRT) test and a 5-km cycling time trial (TT). Total sleep time (TST) and sleep efficiency were greater in the HGI trial compared to the LGI trial (p < 0.05), while sleep onset latency was shortened by four-fold (p < 0.05) and VRT decreased by 8.9% (p < 0.05) in the HGI trial compared to the LGI trial. The performance in both 5-km TT and CMJ did not differ between trials. A moderate to strong correlation was found between the difference in TST and the VRT between the two trials (p < 0.05). In conclusion, this is the first study to show that a high glycemic index meal, following a single spring interval training session, can improve both sleep duration and sleep efficiency, while reducing in parallel sleep onset latency. Those improvements in sleep did not affect jumping ability and aerobic endurance performance. In contrast, the visual reaction time performance increased proportionally to sleep improvements.


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