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Dietary Supplement Based Complementary and Alternative Medicine Use in Pediatric Autism: Physician Based Perception, Knowledge and Involvement

2018· article· en· W3174198979 on OpenAlexaffabout
Melanie S. Trudeau, Robyn F. Madden, Yegor Korchemagin, Jane Shearer

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsAutismMedicineAutism spectrum disorderFamily medicinePublic healthPerceptionPopulationAlternative medicineClinical psychologyPsychiatryPsychologyNursingEnvironmental health

Abstract

fetched live from OpenAlex

Background Autism spectrum disorder (ASD) is a group of heterogeneous chronic neurodevelopmental disorders characterized by qualitative impairments in social interaction, communication, and repetitive stereotyped patterns of behavior, and is quoted as being the fastest growing developmental disorder in the United States affecting an estimated 1 in 45 children. In addition to conventional treatment options, some parents of children with autism seek out supplement based complementary and alternative medicine (CAM) to treat autistic symptoms. Purpose This study describes the use of CAM in children between the ages of 4 to 14 years with and without ASD. Data from this study aims to: (1) provide a more clear understanding of the prevalence and types of supplement therapies used; (2) increase awareness of the use of CAM therapies in children to provide better integrative care; (3) inform public health professionals of common and potentially harmful CAM therapies in ASD to guide public initiatives; and (4) assess patient‐physician communication and interactions surrounding CAM use. Methodology This population‐based, survey sample evaluated children with and without ASD (4 to 14 years) in regards to supplement use. Participants were recruited from educational and physical activity programs to complete a questionnaire. Primary caregivers provided information on current CAM use and their perceived physician knowledge of CAM administration. Data evaluates the proportion of children that use supplement therapies, the types of supplements used, reasons for use, perceived safety, and demographic factors associated with use (e.g. income, parental education, severity of disorder). In a second, follow‐up survey, physicians of children were asked to answer a questionnaire on CAM use in their patients‐‐. In particular, it examined the relationship between the parent and child's physician in terms of perceived parental and physician comfort in discussing supplements, parental disclosure of supplements, and physician knowledge of autism and supplements. Results Preliminary results indicate that 50% of children with ASD are taking supplements, compared to only 33% of children without ASD. The most common supplement used was a multivitamin (46%), the use of polyunsaturated fatty acids (PUFAs), B vitamins, and dietary fiber use were also found. Health care professionals were the most common information source regarding supplements and the majority of parents reported disclosing all supplement use to their child's primary health provider. All parents, both in the autism and control group, indicated that they perceived supplements as being safe. In conclusion, the use of supplement therapies in children with ASD is common and highlights the need for further research with respect to treatment communication, knowledge, and education. Support or Funding Information Alberta Children's Hospital Research Institute. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.076
GPT teacher head0.335
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes2
Has abstractyes

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