The relationship between cognitive function and body mass index in multiple sclerosis patients

2019 ◽  
Vol 32 ◽  
pp. 37-40 ◽  
Author(s):  
Mahsa Owji ◽  
Amir Ashraf-Ganjouei ◽  
Mohammad Ali Sahraian ◽  
Maryam Bidadian ◽  
Fereshteh Ghadiri ◽  
...  
2021 ◽  
Vol 13 ◽  
pp. 117957352110421
Author(s):  
Aliza Bitton Ben-Zacharia ◽  
Malvin N. Janal ◽  
Abraham A. Brody ◽  
Jerry Wolinsky ◽  
Fred Lublin ◽  
...  

Background Multiple sclerosis (MS) is an autoimmune disease leading to physical, emotional and cognitive disability. High body mass index (BMI) may impact cognitive function and brain volume in MS. Yet, there is paucity of evidence addressing the impact of BMI on cognitive function and brain volume in MS. Objectives The purpose of this study was to examine the effects of BMI on normal appearing brain volume and cognitive function in patients with relapsing–remitting MS. Methods A secondary data analysis of the NIH CombiRx study was conducted. Multivariate regression and mixed model analyses were executed to analyze the effect of BMI on brain volume and cognitive function. Results The mean baseline age of the 768 participants was 38.2(SD = 9.4) years. 73% were female and 88.8% were Caucasian. The mean BMI was 28.8 kg/m2(SD = 6.7). The multivariate regression and mixed model analyses failed to show a clinical effect of BMI on brain volume and cognitive function. Conclusion BMI did not show an effect on cognitive function and brain volume among MS patients. Although there is increased interest in the effects of modifiable factors on the course of MS, the effects of BMI on brain volume and cognitive function are debatable and warrant further research. ClinicalTrials.gov NCT00211887


Author(s):  
Mohamed A. Abd Elhafeez ◽  
Dina A. Zamzam ◽  
Mohamed M. Fouad ◽  
Hala M. Elkhawas ◽  
Hend A. Abdel Rahman

Abstract Background The adipose tissues release pro-inflammatory cytokines such as leptin that can be considered a link between obesity and autoimmunity. This study aimed to investigate a possible correlation between BMI, serum leptin, and multiple sclerosis (MS). Methods This case-control study recruited consecutively 169 patients from our MS Unit and 50 healthy controls. Clinical history and examination with Expanded Disability Status Scale (EDSS) scoring were done for all patients. Calculation of body mass index (BMI) and measurement of serum leptin level were done for patients and controls. Results The case group had significantly higher BMI (mean of 26.85 ± 6.06 versus 19.55 ± 1.62; P < 0.001) and higher serum leptin levels (median [IQR] of 280 pgm/ml [175–525] versus 102.5 pgm/ml [80–125]; P < 0.001) compared to the control group. Serum leptin levels did not have a correlation with either disease activity or degree of disability. Conclusions MS patients had significantly higher BMI and higher serum leptin levels compared to controls.


2019 ◽  
Vol 28 ◽  
pp. 313-316 ◽  
Author(s):  
Dina Zamzam ◽  
Mohamed Foad ◽  
Mahmoud Swelam ◽  
Mohamed AbdelHafez ◽  
Azza AbdelNasser ◽  
...  

2014 ◽  
Vol 3 (3) ◽  
Author(s):  
Christopher Magnano ◽  
Pavel Belov ◽  
Jacqueline Krawiecki ◽  
Jesper Hagemeier ◽  
Robert Zivadinov

2014 ◽  
Vol 11 (S1) ◽  
Author(s):  
Farzad Ashrafi ◽  
Hamidreza Haghighatkhah ◽  
Alireza Zali ◽  
Davood Ommi ◽  
Morteza Sanei Taheri ◽  
...  

2021 ◽  
Vol 11 (7) ◽  
pp. 58-62
Author(s):  
Kena H Patel ◽  
Jalpa Parikh

Background: Cognitive functions are conscious mental activities such as thinking, remembering, learning and using language. The function of cognition is the ability of attention, memory, judgement, problem solving and executive abilities such as planning, evaluating and monitoring. Body mass index (BMI) is an estimate of body fat based on height and weight. It can help determine whether a person is at an unhealthy or healthy weight. Several studies indicate that cognitive function is impaired in elderly population with respect to BMI and also indicate that greater BMI in midlife is associated with higher risk of cognitive impairment. So, this study aimed to investigate the relationship between body mass index and cognitive function in young adults. Methodology: A "Montreal Cognitive Assessment (MOCA) scale" was filled by the 134 young adults (18 to 35 years) through interview method. Result: Statistical analysis was done using SPSS version 20. Pearson's test of correlation was applied between outcome measures. There is a weak negative but statistically significant correlation found between body mass index (BMI) and MOCA scores (r = -o.174). Conclusion: This study demonstrated weak negative correlation between body mass index and cognitive function in young adults. Key words: Body mass index, Cognitive function, Young adults.


1970 ◽  
Vol 25 (1) ◽  
pp. 9-13
Author(s):  
S Jahan ◽  
TR Das ◽  
KB Biswas

Background and Aims: Cord blood leptin may reflect the leptinemic status of a newborn at birth more accurately than the leptin values of blood collected from other sites. The present study was undertaken to determine the relationship of cord serum leptin concentration at birth with neonatal and maternal anthropometric parameters. Materials and Methods: Blood was taken from the umbilical cord of the babies at delivery. Maternal anthropometric measurements were recorded at admission for delivery. Neonatal anthropometric measurements were recorded within 48 hours after delivery. Linear regression analysis was used to explore the relationship between cord serum leptin concentration and anthropometric parameters of the baby and the mother. Both Serum leptin and serum C-peptide levels were measured by chemiluminescence-based ELISA method. Results: The leptin concentration (ng/ml, mean±SD) in cord blood was 39.13±14.44. Cord leptin levels correlated with birth weight (r=0.673, p<0.0001), ponderal index (r=0.732, p<0.0001) but it did not correlate with maternal body mass index, gestational age (r=0.135, p=0.349) at delivery or cord serum C-peptide concentration (r=-0.049, p=0.735) or placental weight (r=0.203, p=0.157). Conclusion: There are associations between cord leptin concentration at delivery and birth weight, ponderal index (PI) of the babies but not body mass index (BMI) of the mothers. High leptin levels of the baby could represent an important feedback modulator of substrate supply and subsequently for adipose tissue status during late gestation. (J Bangladesh Coll Phys Surg 2007; 25 : 9-13)


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