Disruptive eating behavior and obesity in drug naïve children diagnosed with attention deficit hyperactivity disorder

2019 ◽  
pp. 1 ◽  
Author(s):  
Hasan Aykutlu ◽  
Işık Görker
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Eating Behavior ◽  
Attention Deficit ◽  
Hyperactivity Disorder ◽  
Drug Naïve

Study of Disturbed Eating Behaviors in Children with Attention Deficit Hyperactivity Disorder

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Heba E Essawy ◽  
Ahmed A Abdelgawad ◽  
Marwa E Khamis ◽  
Alaa Zakaria
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Eating Behavior ◽  
Attention Deficit ◽  
Emotional Eating ◽  
Eating Behaviors ◽  
Independent Factor ◽  
Hyperactivity Disorder ◽  
Disturbed Eating ◽  
Adhd Children ◽  
Z Scores

ABSTRACT Background There is emergent evidence that disturbed eating behaviors, including emotional eating and obesity, co-occur with attention deficit hyperactivity disorder (ADHD) in children. The current study aims to examine the link between ADHD symptoms, eating behaviors and obesity in ADHD children. Patients and Methods 50 ADHD children diagnosed by Conners scale were included. They completed the Emotional Eating scale adapted for children (ESS-C) to evaluate eating in response to emotions. Parents completed the Children’s Eating Behavior Questionnaire (CEBQ) to assess children’s eating behavior. Multivariable regression analysis was used to detect the most independent factor for higher Body mass Index (BMI) risk. Results: Higher rates of overweight/obesity were detected among ADHD children than among normal population. Also, higher Conners global index was associated with higher BMI z-scores. Both Inattentive and combined types were linked to higher BMI, while hyperactive type with lower BMI. Regarding eating behaviors, a positive association between food approach and BMI, and a negative association between food avoidant and BMI z-scores was found. Similarly, there was a noteworthy positive relation between emotional overeating and BMI. 68% of ADHD children were high emotional eaters, mainly inattentive and combined types. Others, mainly hyperactive type, were low emotional eaters. Only ESS-C total score was confirmed as independent factor for higher BMI risk. Conclusion Our findings provide evidence that emotional overeating and food approach eating behaviors are common among ADHD children with higher BMI associated with them. Future studies for better understanding of this overlap will enhance potential interventions.

scholarly journals Peripheral Brain-Derived Neurotrophic Factor and Contactin-1 Levels in Patients with Attention-Deficit/Hyperactivity Disorder

2019 ◽  
Vol 8 (9) ◽  
pp. 1366 ◽  
Author(s):  
Liang-Jen Wang ◽  
Chih-Ching Wu ◽  
Min-Jing Lee ◽  
Miao-Chun Chou ◽  
Sheng-Yu Lee ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Neurotrophic Factor ◽  
Performance Test ◽  
Continuous Performance Test ◽  
Brain Derived Neurotrophic Factor ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Hyperactivity Disorder ◽  
Drug Naïve

Brain-derived neurotrophic factor (BDNF) facilitates neuronal growth and plasticity, and is crucial for learning and memory. Contactin-1 (CNTN1) is a member of the subfamily of neural immunoglobulin and is involved in the formation of axon connections in the developing nervous system. This cross-sectional study investigates whether BDNF and CNTN1 affect susceptibility to attention deficit/hyperactivity disorder (ADHD). A total of 136 drug-naïve patients with ADHD (108 boys and 28 girls) and 71 healthy controls (45 boys and 26 girls) were recruited. Blood samples were obtained to measure the plasma levels of BDNF and CNTN1 in each child. We found that BDNF levels in the ADHD boys exceeded those in the control boys, but BDNF levels in the ADHD girls were lower than those in the control girls. Boys who had higher BDNF levels performed worse on the Wechsler Intelligence Scale for Children—Fourth Edition, but girls who had higher BDNF levels made fewer omission errors in the Conners’ Continuous Performance Test. However, CNTN1 level did not differ significantly between patients and controls, and were not correlated to ADHD characteristics, regardless of gender. The findings suggest BDNF may influence sex-specific susceptibility to ADHD, but CNTN1 was not associated with ADHD pathophysiology.

scholarly journals Exploring white matter functional networks in children with attention-deficit/hyperactivity disorder

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Xuan Bu ◽  
Kaili Liang ◽  
Qingxia Lin ◽  
Yingxue Gao ◽  
Andan Qian ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
White Matter ◽  
Attention Deficit ◽  
Default Mode Network ◽  
Functional Networks ◽  
Attention Network ◽  
Attention Networks ◽  
Default Mode ◽  
Hyperactivity Disorder ◽  
Drug Naïve

Abstract Attention-deficit/hyperactivity disorder has been identified to involve the impairment of large-scale functional networks within grey matter, and recent studies have suggested that white matter, which also encodes neural activity, can manifest intrinsic functional organization similar to that of grey matter. However, the alterations in white matter functional networks in attention-deficit/hyperactivity disorder remain unknown. We recruited a total of 99 children, including 66 drug-naive patients and 33 typically developing controls aged from 6 to 14, to characterize the alterations in functional networks within white matter in drug-naive children with attention-deficit/hyperactivity disorder. Using clustering analysis, resting-state functional MRI data in the white matter were parsed into different networks. Intrinsic activity within each network and connectivity between networks and the associations between network activity strength and clinical symptoms were assessed. We identified eight distinct white matter functional networks: the default mode network, the somatomotor network, the dorsal attention network, the ventral attention network, the visual network, the deep frontoparietal network, the deep frontal network and the inferior corticospinal-posterior cerebellum network. The default mode, somatomotor, dorsal attention and ventral attention networks showed lower spontaneous neural activity in patients. In particular, the default mode network and the somatomotor network largely showed higher connectivity with other networks, which correlated with more severe hyperactive behaviour, while the dorsal and ventral attention networks mainly had lower connectivity with other networks, which correlated with poor attention performance. In conclusion, there are two distinct patterns of white matter functional networks in children with attention-deficit/hyperactivity disorder, with one being the hyperactivity-related hot networks including default mode network and somatomotor network and the other being inattention-related cold networks including dorsal attention and ventral attention network. These results extended upon our understanding of brain functional networks in attention-deficit/hyperactivity disorder from the perspective of white matter dysfunction.

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