Association between Body Mass Index and Cognitive Functions in Medical Students
Introduction: There is a widespread prevalence of obesity and growing evidence suggests its possible adverse effect on cognitive functions. Hence, it is important to study the relationship between Body Mass Index (BMI) and Cognitive Functions. Aim: The aim of this study was to find out the assoc...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
JCDR Research and Publications Private Limited
2020-11-01
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Series: | Journal of Clinical and Diagnostic Research |
Subjects: | |
Online Access: | https://jcdr.net/articles/PDF/14256/45081_CE[Ra1]_F(KM)_PF1(ShG_KM)_PN(SL).pdf |
Summary: | Introduction: There is a widespread prevalence of obesity
and growing evidence suggests its possible adverse effect on
cognitive functions. Hence, it is important to study the relationship
between Body Mass Index (BMI) and Cognitive Functions.
Aim: The aim of this study was to find out the association
between BMI and cognitive functions in medical students. The
present study also determined whether there are any gender
based difference of association of BMI and cognitive functions.
Materials and Methods: A cross-sectional study was done
at Cognitive function test Laboratory of Dr. Vasantrao Pawar
Medical College, Hospital and Research Centre, Nashik between
July and December 2016. Study was done on randomly selected
medical undergraduate students (50 male and 50 females) of
18-25 years age group. Height and weight were recorded and
subjects were divided into 3 groups based on BMI (in kg/m2
)
as: Underweight (BMI <18.5 kg/m2
), Normal weight (BMI 18.5-
25 kg/m2
) and Overweight (BMI >25 kg/m2
). In all the above BMI
groups, four domains of cognitive functions were assessed i.e.,
attention, perception, executive functions and working memory
using Visual and Auditory Reaction Time (VRT and ART) and
Go/No-Go VRT and ART; Fast Counting (FC); Eriksen Flanker
Test (EFT) and Stroop Test (ST) and Visual Forward (VFDS)
and Backward Digit Span (VBDS) test, respectively. The data
was statistically analysed and different cognitive function tests
were compared in various categories of BMI (viz., underweight,
normal and overweight) using ANOVA and Tukey HSD tests.
Gender based association of BMI and cognitive functions
were also assessed. The data was analysed statistically using
SPSS version 16.0 and p-value <0.05 was considered to be
significant.
Results: On comparing the cognitive functions with BMI, it
was found that when whole study population was considered,
the difference in time taken by subjects of different BMI
categories to give response in VBDS test was found to be
statistically significant (p=0.007). When the gender differences
were analysed, it was found that in males, the time taken to
give response to stimuli with interference (ST) in various BMI
categories was statistically significant (p=0.004) and in females,
the time taken to give response in VBDS test in various BMI
categories was found to be statistically significant (p=0.024).
The correlation between the reciprocal of time taken to give
response in ST and VBDS and BMI was a weak positive
correlation (0.3 < r < 0.5).
Conclusion: A weak positive correlation was found between
BMI and reciprocal of time taken to give response to stimulus
with interference in males and BMI and reciprocal of time taken
to give response in VBDS Test in Females. |
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ISSN: | 2249-782X 0973-709X |