Obesity impairs performing and learning a timing perception task regardless of the body position.
Fernanda Mottin RefinettiRicardo DrewsUmberto Cesar CorrêaFlavio Henrique BastosPublished in: Experimental brain research (2021)
Obesity has been associated with poorer sensorimotor performance. However, it remains unclear whether these obesity-related impairments can be mitigated by practice. In the present study, we sought to investigate the effects of practice on performing and learning a temporal estimation task, in women with and without obesity. The experimental task consisted of synchronizing the arrival of two rectangles at a target point. Limited to the pressing of a switch, the task was intended to minimize possible muscular fatigue, self-generated perturbations to balance and the need to accelerate/decelerate body segments. Participants were allowed to choose the displacement velocity of the rectangle they controlled and were informed that they would not be offered any choice over it during a test to come. To control for the effect of different body positions on sensorimotor performance and learning, the 19 women with obesity (BMI = 40.0 + 7.33, age = 44.2 + 6.6) and 20 without obesity (BMI = 22.3 + 1.95, age = 43 + 6.9) were assigned into 4 groups, according to their BMI and body position assumed during practice (standing upright with feet together or sitting). As no significant differences concerning body position were found, the data were reanalysed disregarding this factor. Results revealed that while both groups reduced errors during the Acquisition, participants with obesity showed poorer performance (Acquisition) and sensorimotor learning (Transfer). Given the experimental task and adopted procedures, our results tend to support the hypothesis that hindered perception and/or integration of sensory information is associated with obesity.
Keyphrases
- insulin resistance
- weight gain
- metabolic syndrome
- weight loss
- high fat diet induced
- type diabetes
- body mass index
- healthcare
- primary care
- functional connectivity
- emergency department
- machine learning
- depressive symptoms
- high intensity
- patient safety
- resistance training
- electronic health record
- sleep quality
- drug induced