PubMed HealthSearch

PubMed · 9443003

Elective mutism--associated with developmental disorder/delay. Two case studies.

Abstract

Elective mutism (EM) is not regarded as a separate diagnostic category in the ICD-9, but is included under the heading "313: Disturbance of emotions specific to childhood and adolescence." In the ICD-10 EM is acknowledged as a separate diagnosis defined as "a marked, emotionally determined lack of speech in certain situations in a child with a normal or near normal speech/language ability." The diagnosis excludes pervasive developmental disorder and specific developmental disorders of speech and language. Two patients referred for EM to a child and adolescent psychiatry outpatient clinic, showed specific developmental delays and assessment indicated slight mental retardation in one of them. The question arose regarding how extensively EM is reported in the literature as associated with developmental disorder/delay. A search was carried out in four data-bases where most references were listed under the keyword "mutism". This paper presents the two case studies, and the results of the literature inventory. It concludes that EM may be associated with developmental disorder/delay and suggests that this could be a predisposing factor for an emotionally determined lack of speech in certain situations.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

H Kristensen. 1997. Elective mutism--associated with developmental disorder/delay. Two case studies.. https://doi.org/10.1007/bf00539931

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

The causal relationship between multiple cardiovascular diseases and glioblastoma: A Mendelian randomization study.

Observational studies suggest an association between glioblastoma (GBM) and cardiovascular diseases (CVDs), but a causal relationship remains unestablished. This study aimed to investigate the causal link between multiple CVDs and GBM risk. The inverse variance weighted method indicated that all 18 CVDs had significant causal associations with GBM (P&#x2005;<&#x2005;.05). Genetically predicted CVDs were uniformly associated with a lower risk of GBM (odds ratio&#x2005;<&#x2005;1), identifying them as potential protective factors. Sensitivity analyses confirmed the absence of significant heterogeneity or horizontal pleiotropy, and the MR-Steiger test validated the correct causal direction. This Mendelian randomization (MR) study provides evidence that a range of CVDs are causally associated with a decreased risk of developing GBM. These findings suggest shared biological pathways and offer new insights for understanding GBM etiology. We conducted a 2-sample MR analysis using publicly available genome-wide association study data. GBM was the outcome, and 18 cardiovascular-related traits (including coronary artery disease, myocardial infarction, and venous thromboembolism) were exposures. Instrumental variables were single-nucleotide polymorphisms significantly associated with exposures (P&#x2005;<&#x2005;5&#x2005;&#xd7;&#x2005;10-8). The primary analysis used the inverse variance weighted method, supplemented with MR-Egger, weighted median, and weighted mode methods. Sensitivity analyses, including Cochran Q test, MR-Egger intercept test, leave-one-out analysis, and MR-Steiger directionality test, were performed to ensure robustness.

Causality

Qualitative assessment of cause-of-injury coding in U.S. military hospitals: NATO standardization agreement (STANAG) 2050.

BACKGROUND: Accurate injury cause data are essential for injury prevention research. U.S. military hospitals, unlike civilian hospitals, use the NATO STANAG system for cause-of-injury coding. Reported deficiencies in civilian injury cause data suggested a need to specifically evaluate the STANAG. METHODS: The Total Army Injury and Health Outcomes Database (TAIHOD) was used to evaluate worldwide Army injury hospitalizations, especially STANAG Trauma, Injury, and Place of Occurrence coding. We conducted a review of hospital procedures at Tripler Army Medical Center (TAMC) including injury cause and intent coding, potential crossover between acute injuries and musculoskeletal conditions, and data for certain hospital patients who are not true admissions. We also evaluated the use of free-text injury comment fields in three hospitals. RESULTS: Army-wide review of injury records coding revealed full compliance with cause coding, although nonspecific codes appeared to be overused. A small but intensive single hospital records review revealed relatively poor intent coding but good activity and cause coding. Data on specific injury history were present on most acute injury records and 75% of musculoskeletal conditions. Place of Occurrence coding, although inherently nonspecific, was over 80% accurate. Review of text fields produced additional details of the injuries in over 80% of cases. CONCLUSIONS: STANAG intent coding specificity was poor, while coding of cause of injury was at least comparable to civilian systems. The strengths of military hospital data systems are an exceptionally high compliance with injury cause coding, the availability of free text, and capture of all population hospital records without regard to work-relatedness. Simple changes in procedures could greatly improve data quality.

Causality