scholarly journals Review of current evidence on the impact of pesticides, polychlorinated biphenyls and selected metals on attention deficit / hyperactivity disorder in children

2013 ◽  
Vol 26 (1) ◽  
Author(s):  
Kinga Polańska ◽  
Joanna Jurewicz ◽  
Wojciech Hanke
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Polychlorinated Biphenyls ◽  
Organochlorine Pesticides ◽  
Attention Deficit ◽  
Lead Level ◽  
Attention Problems ◽  
Current Evidence ◽  
Child Exposure ◽  
Hyperactivity Disorder ◽  
The Impact

AbstractThe aim of this review was to investigate the association between attention deficit / hyperactivity disorder (ADHD) or ADHD-related symptoms and industrial chemicals, such as organophosphates and organochlorine pesticides, polychlorinated biphenyls (PCBs), lead, mercury and manganese. Medline, PubMed and EBSCO searches were performed to identify the studies that analyzed the association of prenatal and postnatal child exposure to such toxicants and ADHD or ADHD-related symptoms. The review is restricted to human studies published in English in peer-reviewed journals since 2000. Most of the presented studies focused on pesticides, PCB and lead. The impact of mercury and manganese was investigated less frequently. The findings indicate that children’s exposure to organophosphate pesticides may cause symptoms consistent with pervasive developmental disorder, ADHD or attention problems. Exposures to organochlorine pesticides and PCBs were associated with ADHD-like behaviors such as alertness, quality of alert response, and cost of attention. The studies provided evidence that blood lead level below 10 μg/dl was associated with ADHD or ADHD-related symptoms. Information on the association between exposure to mercury and neurotoxicity is limited, and requires further confirmation in future research. Two studies indicated that exposure to manganese is related to ADHD; such exposure and its impact on children neurodevelopment need to be further investigated. Future studies should use a prospective design with multiple biological samples collected over time for better assessment of exposure and its critical windows. Additionally, inclusion of potential confounding factors and co-exposures is crucial.

scholarly journals Exposure to environmental and lifestyle factors and attention-deficit / hyperactivity disorder in children — A review of epidemiological studies

2012 ◽  
Vol 25 (4) ◽  
Author(s):  
Kinga Polańska ◽  
Joanna Jurewicz ◽  
Wojciech Hanke
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Environmental Factors ◽  
Tobacco Smoke ◽  
Attention Deficit ◽  
Lifestyle Factors ◽  
Environmental Toxicants ◽  
Adhd Symptoms ◽  
Child Exposure ◽  
Hyperactivity Disorder ◽  
The Impact

AbstractAttention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders in children. Although the mechanisms that lead to the development of ADHD remain unclear, genetic and environmental factors have been implicated. These include heavy metals and chemical exposures, nutritional and lifestyle/psychosocial factors. The aim of this review was to investigate the association between ADHD or ADHD-related symptoms and widespread environmental factors such as phthalates, bisphenol A (BPA), tobacco smoke, polycyclic aromatic hydrocarbons (PAHs), polyfluoroalkyl chemicals (PFCs) and alcohol. Medline, PubMed and Ebsco search was performed to identify the studies which analyze the association of prenatal and postnatal child exposure to environmental toxicants and lifestyle factors and ADHD or ADHD-related symptoms. The review is restricted to human studies published since 2000 in English in peer reviewed journals. Despite much research has been done on the association between environmental risk factors and ADHD or ADHD symptoms, results are not consistent. Most studies in this field, focused on exposure to tobacco smoke, found an association between that exposure and ADHD and ADHD symptoms. On the other hand, the impact of phthalates, BPA, PFCs, PAHs and alcohol is less frequently investigated and does not allow a firm conclusion regarding the association with the outcomes of interest.

The Impact of Copper in Children with Attention Deficit Hyperactivity Disorder

2017 ◽  
Vol 68 (2) ◽  
pp. 279-283
Author(s):  
Mihail Silviu Tudosie ◽  
Elena Truta ◽  
Ana Maria Davitoiu ◽  
Luminita Stanciulescu ◽  
George Jinescu ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Copper Concentration ◽  
Graphite Furnace ◽  
Urine Samples ◽  
Health State ◽  
Adhd Symptoms ◽  
Children With Adhd ◽  
Hyperactivity Disorder ◽  
The Impact

During one year (september 2013 � september 2014), 50 children from the residential institution for children SOS Satele Copiilor Bucharest, where included in our research. The children were distributed in two groups: Group A which consisted of 25 children (12 girls, 13 boys) who were not diagnosed with attention deficit hyperactivity disorder (ADHD) and Group B which consisted of 25 children (14 boys, 11 girls) who were diagnosed with ADHD. Initially, the two groups were subjected at a psycho-diagnostic battery of tests, one of them being the Evaluating the Health State of children with ADHD questionnaire elaborated by us, particularly for this research, with the purpose of highlighting the direct link between the children health state and their ADHD symptoms. This study sought to determine the concentration of copper in urine samples from a group of children with ADHD and a group of normal children, to highlight the role of copper in the development of ADHD symptoms. Levels of copper concentration in urine samples from the two groups were processed by Student�s t-Test. Statistical analysis showed that the arithmetic averages of copper concentration in urine samples, of the two groups do not differ significantly, so copper may be causing ADHD symptoms occur. The copper content in urine samples has been determined using atomic absorption spectrometry with graphite furnace.

scholarly journals Genetic variations influence brain changes in patients with attention-deficit hyperactivity disorder

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Santosh K. Yadav ◽  
Ajaz A. Bhat ◽  
Sheema Hashem ◽  
Sabah Nisar ◽  
Madeeha Kamal ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Brain Imaging ◽  
Attention Deficit ◽  
Genetic Variations ◽  
Imaging Genetics ◽  
Treatment Modalities ◽  
Genetic Studies ◽  
Hyperactivity Disorder ◽  
Clinical Biomarkers ◽  
The Impact

AbstractAttention-deficit hyperactivity disorder (ADHD) is a neurological and neurodevelopmental childhood-onset disorder characterized by a persistent pattern of inattentiveness, impulsiveness, restlessness, and hyperactivity. These symptoms may continue in 55–66% of cases from childhood into adulthood. Even though the precise etiology of ADHD is not fully understood, it is considered as a multifactorial and heterogeneous disorder with several contributing factors such as heritability, auxiliary to neurodevelopmental issues, severe brain injuries, neuroinflammation, consanguineous marriages, premature birth, and exposure to environmental toxins. Neuroimaging and neurodevelopmental assessments may help to explore the possible role of genetic variations on ADHD neuropsychobiology. Multiple genetic studies have observed a strong genetic association with various aspects of neuropsychobiological functions, including neural abnormalities and delayed neurodevelopment in ADHD. The advancement in neuroimaging and molecular genomics offers the opportunity to analyze the impact of genetic variations alongside its dysregulated pathways on structural and functional derived brain imaging phenotypes in various neurological and psychiatric disorders, including ADHD. Recently, neuroimaging genomic studies observed a significant association of brain imaging phenotypes with genetic susceptibility in ADHD. Integrating the neuroimaging-derived phenotypes with genomics deciphers various neurobiological pathways that can be leveraged for the development of novel clinical biomarkers, new treatment modalities as well as therapeutic interventions for ADHD patients. In this review, we discuss the neurobiology of ADHD with particular emphasis on structural and functional changes in the ADHD brain and their interactions with complex genomic variations utilizing imaging genetics methodologies. We also highlight the genetic variants supposedly allied with the development of ADHD and how these, in turn, may affect the brain circuit function and related behaviors. In addition to reviewing imaging genetic studies, we also examine the need for complementary approaches at various levels of biological complexity and emphasize the importance of combining and integrating results to explore biological pathways involved in ADHD disorder. These approaches include animal models, computational biology, bioinformatics analyses, and multimodal imaging genetics studies.

scholarly journals Clinical and social factors associated with attention-deficit hyperactivity disorder medication use: population-based longitudinal study

2014 ◽  
Vol 205 (4) ◽  
pp. 291-297 ◽  
Author(s):  
Cédric Galéra ◽  
Jean-Baptiste Pingault ◽  
Grégory Michel ◽  
Manuel-Pierre Bouvard ◽  
Maria Melchior ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Psychiatric Comorbidity ◽  
Medication Use ◽  
Population Based ◽  
Social Characteristics ◽  
Adhd Medication ◽  
Social Variables ◽  
Hyperactivity Disorder ◽  
The Impact

BackgroundThe impact of longitudinal psychiatric comorbidity, parenting and social characteristics on attention-deficit hyperactivity disorder (ADHD) medication use is still poorly understood.AimsTo assess the baseline and longitudinal influences of behavioural and environmental factors on ADHD medication use.MethodSurvival regressions with time-dependent covariates were used to model data from a population-based longitudinal birth cohort. The sample (n = 1920) was assessed from age 5 months to 10 years. Measures of children's psychiatric symptoms, parenting practices and social characteristics available at baseline and during follow-up were used to identify individual and family-level features associated with subsequent use of ADHD medication.ResultsUse of ADHD medication ranged from 0.2 to 8.6% between ages 3.5 to 10 years. Hyperactivity–inattention was the strongest predictor of medication use (hazard ratio (HR) = 2.75, 95% CI 2.35–3.22). Among all social variables examined, low maternal education increased the likelihood of medication use (HR = 2.09, 95% CI 1.38–3.18) whereas immigrant status lowered this likelihood (HR = 0.40, 95% CI 0.17–0.92).ConclusionsBeyond ADHD symptoms, the likelihood of receiving ADHD medication is predicted by social variables and not by psychiatric comorbidity or by parenting. This emphasises the need to improve global interventions by offering the same therapeutic opportunities (including medication) as those received by the rest of the population to some subgroups (i.e. immigrants) and by diminishing possible unnecessary prescriptions.

scholarly journals PERILAKU ATTENTION DEFICIT HYPERACTIVITY DISORDER (ADHD) DALAM PROSES PEMBELAJARAN (STUDI KASUS PESERTA DIDIK) DI KELAS IV SD NEGERI GEJAYAN

2018 ◽  
Vol 1 (1) ◽  
pp. 64
Author(s):  
Nugrahini Indra Umratun Wakhaj ◽  
Nurul Hidayati Rofiah
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Learning Process ◽  
Attention Deficit ◽  
Social Aspect ◽  
Impulsive Behavior ◽  
Or Education ◽  
Hyperactivity Disorder ◽  
Using Data ◽  
Primary School Age ◽  
The Impact

The behavior of primary school-age students today is very diverse, one of these behaviors are children who are very difficult to manage, can not be silent and as if not paying attention to the lessons in the classroom. These children usually experience emotional and behavioral disorders in its development of ADHD (Attention Deficit Hyperactivity Disorder). This study aims to describe the behavior and impact of Attention Deficit Hyperactivity Disorder (ADHD) in the learning process in grade 4 students of SD Negeri Gejayan.This type of research is a type of Descriptive Qualitative research, with data collection techniques of observation, interview, and doumentation. The subjects in this research are DA fourth graders of SD Negeri Gejayan. While the data analysis techniques using data reduction, data presentation, and conclusions.The results showed that there was Attention Deficit Hyperactivity Disorder (ADHD) behavior in the learning process in Grade IV of Gejayan State Elementary School which consisted of three behaviors: inattensi, hyperactive and impulsive behavior. The impact of Attention Deficit Hyperactivity Disorder (ADHD) behavior affects three aspects including (1) impact on learning process or education, (2) impact on student's behavior in learning process and, (3) impact to social aspect of student in process learning.

Screening for Attention-Deficit/Hyperactivity Disorder and Comorbidities in a Diverse, Urban Primary Care Setting

2018 ◽  
Vol 57 (12) ◽  
pp. 1442-1452 ◽  
Author(s):  
Andrea E. Spencer ◽  
Natalie Plasencia ◽  
Ying Sun ◽  
Cara Lucke ◽  
Haregnesh Haile ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Child Behavior Checklist ◽  
Roc Curves ◽  
Parent Report ◽  
Attention Problems ◽  
Hyperactivity Disorder ◽  
Pediatric Symptom Checklist ◽  
Diagnostic Interviews ◽  
English Speaking

We tested the accuracy of 2 parent-report tools, the Pediatric Symptom Checklist (PSC-35) and Child Behavior Checklist (CBCL), to identify attention-deficit/hyperactivity disorder (ADHD) and distinguish complex (highly comorbid) cases in an urban, largely Latino pediatric practice. Spanish- and English-speaking parents of children aged 6 to 10 years completed a PSC-35 and CBCL at well visits. Those with CBCL Attention Problems Subscale (CBCL-APS) T scores ≥60 plus controls completed the diagnostic MINI-KID (Miniature International Neuropsychiatric Interview) for Children. Receiver operating characteristic (ROC) curves quantified accuracy of both scales to distinguish ADHD from non-ADHD, and complex from simple ADHD. Two hundred and nine children were screened, and 41 completed diagnostic interviews. Both the CBCL-APS and PSC Attention Scale (PSC-AS) accurately identified ADHD; the CBCL-APS performed best (AUROCCBCL_APS = 0.837; AUROCPSC_AS = 0.728). The PSC Total and Internalizing Scores and the number of CBCL subscale elevations accurately distinguished complex from simple ADHD; the PSC Internalizing Score performed best (AUROCPSC_TOTAL = 0.700; AUROCPSC_INT = 0.817; AUROCCBCL_SUBS = 0.762).

Sign in / Sign up

Export Citation Format

Share Document