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      Identifying classes of persons with mild intellectual disability or borderline intellectual functioning: a latent class analysis

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          Abstract

          Background

          Persons with mild intellectual disability or borderline intellectual functioning are often studied as a single group with similar characteristics. However, there are indications that differences exist within this population. Therefore, the aim of this study was to identify classes of persons with mild intellectual disability or borderline intellectual functioning and to examine whether these classes are related to individual and/or environmental characteristics.

          Methods

          Latent class analysis was performed using file data of 250 eligible participants with a mean age of 26.1 ( SD 13.8, range 3–70) years.

          Results

          Five distinct classes of persons with mild intellectual disability or borderline intellectual functioning were found. These classes significantly differed in individual and environmental characteristics. For example, persons with a mild intellectual disability experienced fewer problems than those with borderline intellectual disability.

          Conclusions

          The identification of five classes implies that a differentiated approach is required towards persons with mild intellectual disability or borderline intellectual functioning.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12888-017-1426-8) contains supplementary material, which is available to authorized users.

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          Most cited references44

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          AGE, CRIMINAL CAREERS, AND POPULATION HETEROGENEITY: SPECIFICATION AND ESTIMATION OF A NONPARAMETRIC, MIXED POISSON MODEL*

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            Intellectual disability and its relationship to autism spectrum disorders.

            Intellectual disability (ID) and autism spectrum disorders (ASDs) covary at very high rates. Similarly, greater severity of one of these two disorders appears to have effects on the other disorder on a host of factors. A good deal of research has appeared on the topic with respect to nosology, prevalence, adaptive functioning, challenging behaviors, and comorbid psychopathology. The purpose of this paper was to provide a critical review and status report on the research published on these topics. Current status and future directions for better understanding these two covarying disorders was reviewed along with a discussion of relevant strengths and weaknesses of the current body of research.
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              Analyzing developmental trajectories of distinct but related behaviors: a group-based method.

              This article presents a group-based method to jointly estimate developmental trajectories of 2 distinct but theoretically related measurement series. The method will aid the analysis of comorbidity and heterotypic continuity. Three key outputs of the model are (a) for both measurement series, the form of the trajectory of distinctive subpopulations; (b) the probability of membership in each such trajectory group; and (c) the joint probability of membership in trajectory groups across behaviors. This final output offers 2 novel features. First, the joint probabilities can characterize the linkage in the developmental course of distinct but related behaviors. Second, the joint probabilities can measure differences within the population in the magnitude of this linkage. Two examples are presented to illustrate the application of the method.
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                Author and article information

                Contributors
                +31633933247 , p.j.g.nouwens@tilburguniversity.edu
                rosannelucas@gmail.com
                nsmulders@prismanet.nl
                p.j.c.m.embregts@uvt.nl
                ch.van.nieuwenhuizen@ggze.nl
                Journal
                BMC Psychiatry
                BMC Psychiatry
                BMC Psychiatry
                BioMed Central (London )
                1471-244X
                17 July 2017
                17 July 2017
                2017
                : 17
                : 257
                Affiliations
                [1 ]ISNI 0000 0001 0943 3265, GRID grid.12295.3d, Tranzo Department, Tilburg School of Social and Behavioral Sciences, , Tilburg University, ; Tilburg, the Netherlands
                [2 ]Prisma Foundation, Waalwijk, the Netherlands
                [3 ]ISNI 0000 0001 0943 3265, GRID grid.12295.3d, Department of Medical and Clinical Psychology, Tilburg School of Social and Behavioral Sciences, , Tilburg University, ; Tilburg, the Netherlands
                [4 ]Dichterbij Innovation and Science, Gennep, the Netherlands
                [5 ]GGzE Research Group Forensic Mental Health Care, GGzE Centre for Child & Adolescent Psychiatry and De Catamaran, Hospital for Youth Forensic Psychiatry & Orthopsychiatry, GGzE, Eindhoven, The Netherlands
                Article
                1426
                10.1186/s12888-017-1426-8
                5512980
                28716016
                9a141c2e-ba76-4eb0-8b09-366fc2c2afde
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 10 January 2017
                : 10 July 2017
                Funding
                Funded by: Prisma Foundation
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Clinical Psychology & Psychiatry
                mild intellectual disability,borderline intellectual functioning,intellectual disability,latent class analysis,heterogeneity,profiles

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