ArticleNursing research
Identifying Individuals With Intellectual Disability Within a Population Study.
Article in Nursing research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
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Corrections and comments
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Authors and funding
6 authors at 1 institution in 3 countries.
Funding
Abstract
backgroundMuch remains unknown about the longitudinal health and well-being of individuals with intellectual disability (ID); thus, new methods to identify those with ID within nationally representative population studies are critical for harnessing these data sets to generate new knowledge.
objectiveOur objective was to describe the development of a new method for identifying individuals with ID within large, population-level studies not targeted on ID.
methodsWe used a secondary analysis of the de-identified, restricted-use National Longitudinal Study of Adolescent to Adult Health (Add Health) database representing 20,745 adolescents to develop a method for identifying individuals who meet the criteria of ID. The three criteria of ID (intellectual functioning, adaptive functioning, and disability originating during the developmental period) were derived from the definitions of ID used by the American Psychiatric Association and the American Association on Intellectual and Developmental Disabilities. The ID Indicator was developed from the variables indicative of intellectual and adaptive functioning limitations included in the Add Health database from Waves I to III.
resultsThis method identified 441 adolescents who met criteria of ID and had sampling weights. At Wave I, the mean age of this subsample of adolescents with ID was 16.1 years. About half of the adolescents were male and from minority racial groups. Their parents were predominately female, were married, had less than a high school education, and had a median age of 41.62 years. The adolescents' mean maximum abridged Peabody Picture Vocabulary Test standardized score was 69.6, and all demonstrated at least one adaptive functioning limitation. DISCUSSION: This study demonstrates the development of a data-driven method to identify individuals with ID using commonly available data elements in nationally representative population data sets. By utilizing this method, researchers can leverage existing rich data sets holding potential for answering research questions, guiding policy, and informing interventions to improve the health of the ID population.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.