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Relating ASD symptoms to well-being: moving across different construct levels

Published online by Cambridge University Press:  11 September 2017

M. K. Deserno*
Affiliation:
Dr. Leo Kannerhuis and REACH-AUT, Doorwerth, The Netherlands Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
D. Borsboom
Affiliation:
Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
S. Begeer
Affiliation:
Section Clinical Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam and EMGO Institute for Health and Care Research, Amsterdam, The Netherlands
H. M. Geurts
Affiliation:
Dr. Leo Kannerhuis and REACH-AUT, Doorwerth, The Netherlands Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
*
Author for correspondence: M. K. Deserno, E-mail: [email protected]

Abstract

Background

Little is known about the specific factors that contribute to the well-being (WB) of individuals with autism spectrum disorder (ASD). A plausible hypothesis is that ASD symptomatology has a direct negative effect on WB. In the current study, the emerging tools of network analysis allow to explore the functional interdependencies between specific symptoms of ASD and domains of WB in a multivariate framework. We illustrate how studying both higher-order (total score) and lower-order (subscale) representations of ASD symptomatology can clarify the interrelations of factors relevant for domains of WB.

Methods

We estimated network structures on three different construct levels for ASD symptomatology, as assessed with the Adult Social Behavior Questionnaire (item, subscale, total score), relating them to daily functioning (DF) and subjective WB in 323 adult individuals with clinically identified ASD (aged 17–70 years). For these networks, we assessed the importance of specific factors in the network structure.

Results

When focusing on the highest representation level of ASD symptomatology (i.e. a total score), we found a negative connection between ASD symptom severity and domains of WB. However, zooming in on lower representation levels of ASD symptomatology revealed that this connection was mainly funnelled by ASD symptoms related to insistence on sameness and experiencing reduced contact and that those symptom scales, in turn, impact different domains of WB.

Conclusions

Zooming in across construct levels of ASD symptom severity into subscales of ASD symptoms can provide us with important insights into how specific domains of ASD symptoms relate to specific domains of DF and WB.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2017 

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References

American Psychiatric Association (2000) Diagnostic and statistical manual of mental disorders (4th ed., text rev.). Washington, DC: Author.Google Scholar
American Psychiatric Association (2013) DSM 5. American Psychiatric Association, Washington, DC: Author.Google Scholar
Anderson, GM, Montazeri, F and de Bildt, A (2015) Network approach to autistic traits: group and subgroup analyses of ADOS item scores. Journal of Autism and Developmental Disorders 45, 31153132.CrossRefGoogle ScholarPubMed
Baio, J (2014) Prevalence of autism spectrum disorder among children aged 8 years – autism and developmental disabilities monitoring network, 11 sites, United States, 2010. Centers for Disease Control and Prevention Morbidity and Mortality Weekly Report 63, 121.Google Scholar
Barabási, AL (2012) The network takeover. Nature Physics 8, 1416.CrossRefGoogle Scholar
Barrat, A, Barthélemy, M, Pastor-Satorras, R and Vespignani, A (2004) The architecture of complex weighted networks. Proceedings of the National Academy of Sciences USA 101, 37473752.CrossRefGoogle ScholarPubMed
Bartels, M and Boomsma, DI (2009) Born to be happy? The etiology of subjective well-being. Behavioural Genetics 39, 605615.CrossRefGoogle ScholarPubMed
Bastiaansen, D, Koot, HM, Ferdinand, RF and Verhulst, FC (2004) Quality of life in children with psychiatric disorders: self-, parent, and clinician report. Journal of the American Academy of Child and Adolescent Psychiatry 43, 221230.CrossRefGoogle ScholarPubMed
Bellini, S (2004) Social skill deficits and anxiety in high-functioning adolescents with autism spectrum disorders. Focus on Autism and Other Developmental Disabilities 19, 7886.CrossRefGoogle Scholar
Borsboom, D (2008) Psychometric perspectives on diagnostic systems. Journal of Clinical Psychology 64, 10891108.CrossRefGoogle ScholarPubMed
Borsboom, D and Cramer, AOJ (2013) Network analysis: an integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology 9, 91121.CrossRefGoogle Scholar
Boschloo, L, van Borkulo, CD, Borsboom, D and Schoevers, RA. (2016) A prospective study on how symptoms in a network predict the onset of depression. Psychotherapy and psychosomatics 85, 183184.CrossRefGoogle Scholar
Cramer, AO, Borsboom, D, Aggen, SH and Kendler, KS (2012) The pathoplasticity of dysphoric episodes: differential impact of stressful life events on the pattern of depressive symptom inter-correlations. Psychological medicine 42, 957965.CrossRefGoogle ScholarPubMed
Costantini, G, Epskamp, S, Borsboom, D, Perugini, M, Möttus, R, Waldorp, LJ et al. (2014) State of the aRt personality research: a tutorial on network analysis of personality data in R. Journal of Research in Personality 54, 1329.CrossRefGoogle Scholar
Cottenceau, H, Roux, S, Blanc, R, Lenoir, P, Bonnet-Brilhault, F and Barthélémy, C (2012) Quality of life of adolescents with autism spectrum disorders: comparison to adolescents with diabetes. European Child and Adolescent Psychiatry 21, 289296.CrossRefGoogle ScholarPubMed
Deserno, MK, Borsboom, D, Begeer, S and Geurts, HM (2016) Multicausal systems ask for multicausal approaches: a network perspective on subjective well-being in individuals with autism spectrum disorder. Autism. doi: 1362361316660309.Google ScholarPubMed
De Vries, M and Geurts, HM (2015) Influence of autism traits and executive functioning on quality of life in children with an autism spectrum disorder. Journal of Autism and Developmental Disorders 45, 27342743.CrossRefGoogle ScholarPubMed
Diener, E (1994) Assessing subjective well-being: progress and opportunities. Social Indicators Research 31, 103157.CrossRefGoogle Scholar
Diener, E, Napa-Scollon, CK, Oishi, S, Dzokoto, V and Suh, EM (2000) Positivity and the construction of life satisfaction judgments: global happiness is not the sum of its parts. Journal of Happiness Studies 1, 159176.CrossRefGoogle Scholar
Eaves, LC and Ho, HH (2008) Young adult outcome of autism spectrum disorders. Journal of Autism and Developmental Disorders 38, 739747.CrossRefGoogle ScholarPubMed
Epskamp, S, Borsboom, D and Fried, EI (2017) Estimating psychological networks and their accuracy: a tutorial paper. Behavioral Research Methods, 118.Google Scholar
Epskamp, S, Cramer, AOJ, Waldorp, LJ, Schmittmann, VD and Borsboom, D (2012) Qgraph: network visualizations of relationships in psychometric data. Journal of Statistical Software 48, 118.CrossRefGoogle Scholar
Foygel, R and Drton, M (2011) Bayesian model choice and information criteria in sparse generalized linear models. http://arxiv.org/pdf/1112.5635.pdf. (Accessed July 29, 2016).Google Scholar
Frewen, PA, Allen, SL, Lanius, RA and Neufeld, RW (2012) Perceived causal relations: novel methodology for assessing client attributions about causal associations between variables including symptoms and functional impairment. Assessment 19, 480493.CrossRefGoogle ScholarPubMed
Fried, EI, Nesse, RM, Guille, C and Sen, S (2015) The differential influence of life stress on individual symptoms of depression. Acta Psychiatrica Scandinavica 131, 465471.CrossRefGoogle ScholarPubMed
Fried, EI, van Borkulo, CD, Epskamp, S, Schoevers, RA, Tuerlinckx, F and Borsboom, D (2016) Measuring depression over time… or not? Lack of unidimensionality and longitudinal measurement invariance in four common rating scales of depression. Psychological Assessment 28, 13541367.CrossRefGoogle ScholarPubMed
Geschwind, DH (2009) Advances in autism. Annual review of medicine 60, 367380.CrossRefGoogle ScholarPubMed
Grove, R, Hoekstra, RA, Wierda, M and Begeer, S (2016) Exploring sex differences in autistic traits: A factor analytic study of adults with autism. Autism 21, 760768.CrossRefGoogle ScholarPubMed
Herbert, MR (2010) Contributions of the environment and environmentally vulnerable physiology to autism spectrum disorders. Current Opinion in Neurology 23, 103110.CrossRefGoogle ScholarPubMed
Hieronymus, F, Emilsson, JF, Nilsson, S and Eriksson, E (2016) Consistent superiority of selective serotonin reuptake inhibitors over placebo in reducing depressed mood in patients with major depression. Molecular Psychiatry 21, 523530.CrossRefGoogle ScholarPubMed
Horwitz, EH, Schoevers, RA, Ketelaars, CEJ, Kan, CC, van Lammeren, AMDN, Meesters, Y et al. (2016) Clinical assessment of ASD in adults using self- and other-report: psychometric properties and validity of the Adult Social Behavior Questionnaire (ASBQ). Research in Autism Spectrum Disorders 24, 1728.CrossRefGoogle Scholar
Howlin, P, Goode, S, Hutton, J and Rutter, M (2004) Adult outcome for children with autism. Journal of Child Psychology and Psychiatry 45, 212229.CrossRefGoogle ScholarPubMed
Ikeda, E, Hinckson, E and Krägeloh, C (2014) Assessment of quality of life in children and youth with autism spectrum disorder: a critical review. Quality of Life Research 23, 10691085.CrossRefGoogle ScholarPubMed
Jennes-Coussens, M, Magill-Evans, J and Koning, C (2006) The quality of life of young men with Asperger syndrome: a brief report. Autism 10, 403414.CrossRefGoogle ScholarPubMed
Jensen, CM, Steinhausen, HC and Lauritsen, MB (2014) Time trends over 16 years in incidence-rates of autism spectrum disorders across the lifespan based on nationwide Danish register data. Journal of Developmental Disorders 44, 18081818.CrossRefGoogle ScholarPubMed
Kamp-Becker, I, Schröder, J, Muehlan, H, Remschmidt, H, Becker, K and Bachmann, CJ (2011) Health-related quality of life in children and adolescents with autism spectrum disorder. Zeitschrift für Kinder-und Jugendpsychiatrie und Psychotherapie 39, 123131.CrossRefGoogle ScholarPubMed
Keller, MC, Neale, MC and Kendler, KS (2007) Different negative life events are associated with different patterns of depressive symptoms. American Journal of Psychiatry 164, 15211529.CrossRefGoogle Scholar
Kolaczyk, ED (2009) Statistical Analysis of Network Data: Methods and Models. Springer Science & Business Media Springer, New York.CrossRefGoogle Scholar
Kuhlthau, K, Kovacs, E, Hall, T, Clemmons, T, Orlich, F, Delahaye, J et al. (2013) Health-related quality of life for children with ASD: associations with behavioral characteristics. Research in Autism Spectrum Disorders 7, 10351042.CrossRefGoogle Scholar
Kuhlthau, K, Orlich, F, Hall, TA, Sikora, D, Kovacs, EA, Dealhaye, J et al. (2010) Health-related quality of life in children with autism spectrum disorders: results from the autism treatment network. Journal of Autism and Developmental Disorders 40, 721729.CrossRefGoogle ScholarPubMed
Lai, MC, Lombardo, MV, Auyeung, B, Chakrabarti, B and Baron-Cohen, S (2015) Sex/gender differences and autism: setting the scene for future research. Journal of the American Academy of Child & Adolescent Psychiatry 54, 1124.CrossRefGoogle ScholarPubMed
Lever, AG and Geurts, HM (2016) Psychiatric co-occurring symptoms and disorders in young, middle-aged, and older adults with autism spectrum disorder. Journal of Autism and Developmental Disorders 46, 19161930.CrossRefGoogle ScholarPubMed
Lux, V and Kendler, KS (2010) Deconstructing major depression: a validation study of the DSM-IV symptomatic criteria. Psychological Medicine, 40, 16791690.CrossRefGoogle ScholarPubMed
Magiati, I, Tay, XW and Howlin, P (2014) Cognitive, language, social and behavioural outcomes in adults with autism spectrum disorders: a systematic review of longitudinal follow-up studies in adulthood. Clinical Psychology Review 34, 7386.CrossRefGoogle ScholarPubMed
McNally, RJ, Heeren, A and Robinaugh, DJ (2017) A Bayesian network analysis of posttraumatic stress disorder symptoms in adults reporting childhood sexual abuse. European Journal of Psychotraumatology 8:sup3, 1341276, DOI: 10.1080/20008198.2017.1341276.CrossRefGoogle ScholarPubMed
Meinshausen, N and Bühlmann, P (2006) High-dimensional graphs and variable selection with the lasso. The Annals of Statistics 34, 14361462.CrossRefGoogle Scholar
Moss, P, Mandy, W and Howlin, P (2017) Child and adult factors related to quality of life in adults with autism. Journal of Autism and Developmental Disorders 47, 18301837.CrossRefGoogle ScholarPubMed
Mulder, CL, Staring, ABP, Loos, J, Buwalda, VKA, Kuijpers, D, Sytema, S et al. (2004) De Health of the Nation Outcome Scale (HoNOS) in Nederlandse Bewerking: Handleiding. Rotterdam: O3 Onderzoekscentrum GGZ Rijnmond, 2011.Google Scholar
Myers, DG and Diener, E (1995) Who is happy? Psychological Science 6, 1019.CrossRefGoogle Scholar
National Institute for Health and Clinical Excellence (2012) Autism: Recognition, Referral, Diagnosis and Management of Adults on the Autism Spectrum. NICE clinical guideline 142. http://guidance.nice.org.uk/CG142 (NICE guideline).Google Scholar
Nederlandse Vereniging GZ-Psychologen (2015) (Dutch Society for Psychologists), NVGzP (http://www.nvgzp.nl/schippers-geen-invoering-dsm-5-in-2016/). (Accessed 10 April 2015).Google Scholar
Nordin, V and Gillberg, C (1998) The long-term course of autistic disorders: update on follow-up studies. Acta Psychiatrica Scandinavica 97, 99108.CrossRefGoogle ScholarPubMed
Oliver, JPJ, Huxley, PJ, Priebe, S and Kaiser, W (1997) Measuring the quality of life of severely mentally ill people using the Lancashire Quality of Life Profile. Social psychiatry and psychiatric epidemiology 32, 7683.CrossRefGoogle ScholarPubMed
Opsahl, T, Agneessens, F and Skvoretz, J (2010) Node centrality in weighted networks: generalizing degree and shortest paths. Social Networks 32, 245251.CrossRefGoogle Scholar
Priebe, S, Huxley, P, Knight, S and Evans, S (1999) Application and results of the Manchester Short Assessment of Quality of Life (MANSA). International Journal of Social Psychiatry 45, 712.CrossRefGoogle ScholarPubMed
Renty, JO and Roeyers, H (2006) Quality of life in high-functioning adults with autism spectrum disorder. The predictive value of disability and support characteristics. Autism 10, 511524.CrossRefGoogle ScholarPubMed
Ruggeri, M, Bisoffi, G, Fontecedro, L and Warner, R (2001) Subjective and objective dimensions of quality of life in psychiatric patients: a factor analytical approach. The British Journal of Psychiatry 178, 268275.CrossRefGoogle ScholarPubMed
Ruzzano, L, Borsboom, D and Geurts, HM (2015) Repetitive behaviors in autism and obsessive–compulsive disorder: new perspectives from a network analysis. Journal of Autism and Developmental Disorders 45(1), 192202.CrossRefGoogle ScholarPubMed
Ryff, CD and Keyes, CLM (1995) The structure of psychological well-being revisited. Journal of Personality and Social Psychology 69, 719.CrossRefGoogle ScholarPubMed
Stratis, EA and Lecavalier, L (2015) Informant agreement for youth with autism spectrum disorder or intellectual disability: a meta-analysis. Journal of Autism and Developmental Disorders 45, 10261041.CrossRefGoogle ScholarPubMed
Tavernor, L, Barron, E, Rodgers, J and McConachie, H (2013) Finding out what matters: validity of quality of life measurement in young people with ASD. Child: care, health and development 39, 592601.CrossRefGoogle ScholarPubMed
Tibshirani, R (1996) Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society. Series B (Methodological) 58, 267288.CrossRefGoogle Scholar
Tilford, JM, Payakachat, N, Kovacs, E, Pyne, JM, Brouwer, W, Nick, TG et al. (2012) Preference-based health-related quality-of-life outcomes in children with autism spectrum disorders. PharmacoEconomics 30, 661679.CrossRefGoogle ScholarPubMed
Totsika, V, Hastings, RP, Emerson, E, Lancaster, GA and Berridge, DM (2011) A population-based investigation of behavioural and emotional problems and maternal mental health: Associations with autism spectrum disorder and intellectual disability. Journal of Child Psychology and Psychiatry 52, 9199.CrossRefGoogle ScholarPubMed
Trimbos, (2013) Multidisciplinaire richtlijn diagnostiek en behandeling van autismespectrumstoornissen bij volwassenen. Utrecht: De Tijdstroom.Google Scholar
Van Borkulo, CD, Borsboom, D, Epskamp, S, Blanken, TF, Boschloo, L, Schoevers, RA et al. (2014) A new method for constructing networks from binary data. Scientific Reports 4, 110.CrossRefGoogle ScholarPubMed
Van de Leemput, IA, Wichers, M, Cramer, AO, Borsboom, D, Tuerlinckx, F, Kuppens, P et al. (2014) Critical slowing down as early warning for the onset and termination of depression. Proceedings of the National Academy of Sciences 111, 8792.CrossRefGoogle ScholarPubMed
Van Heijst, BFC and Geurts, HM (2015) Quality of life in autism across the lifespan: a meta-analysis. Autism 19, 158167.CrossRefGoogle ScholarPubMed
Van Nieuwenhuizen, C, Schene, AH and Koetier, MWJ (2000) Manchester verkorte Kwaliteit van Leven meting. Eindhoven: Forensische Jeugdpsychiatrische Kliniek de Catamaran.Google Scholar
Wing, JK, Beevor, AS, Curtis, RH, Park, SB, Hadden, S and Burns, A (1998) Health of the nation outcome scales (HoNOS). research and development. The British Journal of Psychiatry 172, 1118.CrossRefGoogle ScholarPubMed
Wood, JJ and Gadow, KD (2010) Exploring the nature and function of anxiety in youth with autism spectrum disorders. Clinical Psychology: Science and Practice 17, 281292.Google Scholar
Woodman, AC, Smith, LE, Greenberg, JS and Mailick, MR (2016) Contextual factors predict patterns of change in functioning over 10 years among adolescents and adults with autism spectrum disorders. Journal of Autism and Developmental Disorders 46, 176189CrossRefGoogle ScholarPubMed
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