Emotional problems across development: examining measurement invariance across childhood, adolescence and early adulthood.
ALSPAC
Emotional problems
MCS
Measurement invariance
SDQ
Journal
European child & adolescent psychiatry
ISSN: 1435-165X
Titre abrégé: Eur Child Adolesc Psychiatry
Pays: Germany
ID NLM: 9212296
Informations de publication
Date de publication:
16 May 2024
16 May 2024
Historique:
received:
21
11
2023
accepted:
29
04
2024
medline:
17
5
2024
pubmed:
17
5
2024
entrez:
16
5
2024
Statut:
aheadofprint
Résumé
Emotional problems (anxiety, depression) are prevalent in children, adolescents and young adults with varying ages at onset. Studying developmental changes in emotional problems requires repeated assessments using the same or equivalent measures. The parent-rated Strengths and Difficulties Questionnaire is commonly used to assess emotional problems in childhood and adolescence, but there is limited research about whether it captures a similar construct across these developmental periods. Our study addressed this by investigating measurement invariance in the scales' emotional problems subscale (SDQ-EP) across childhood, adolescence and early adulthood. Data from two UK population cohorts were utilised: the Millennium Cohort Study (ages 3-17 years) and the Avon Longitudinal Study of Parents and Children (4-25 years). In both samples we observed weak (metric) measurement invariance by age, suggesting that the parent-rated SDQ-EP items contribute to the underlying construct of emotional problems similarly across age. This supports the validity of using the subscale to rank participants on their levels of emotional problems in childhood, adolescence and early adulthood. However strong (scalar) measurement invariance was not observed, suggesting that the same score may correspond to different levels of emotional problems across developmental periods. Comparisons of mean parent-rated SDQ-EP scores across age may therefore not be valid.
Identifiants
pubmed: 38755320
doi: 10.1007/s00787-024-02461-3
pii: 10.1007/s00787-024-02461-3
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : HCRW_
ID : NIHR-FS(A)-2022
Pays : United Kingdom
Informations de copyright
© 2024. The Author(s).
Références
Lijster JM, Dierckx B, Utens EM et al (2017) The age of onset of anxiety disorders. Can J Psychiatry 62:237–246. https://doi.org/10.1177/0706743716640757
doi: 10.1177/0706743716640757
pubmed: 27310233
Beesdo K, Knappe S, Pine DS (2009) Anxiety and anxiety disorders in Children and adolescents: Developmental issues and implications for DSM-V. Psychiatr Clin North Am 32:483–524. https://doi.org/10.1016/j.psc.2009.06.002
doi: 10.1016/j.psc.2009.06.002
pubmed: 19716988
pmcid: 3018839
Solmi M, Radua J, Olivola M et al (2022) Age at onset of mental disorders worldwide: large-scale meta-analysis of 192 epidemiological studies. Mol Psychiatry 27:281–295. https://doi.org/10.1038/s41380-021-01161-7
doi: 10.1038/s41380-021-01161-7
pubmed: 34079068
Putnick DL, Bornstein MH (2016) Measurement invariance conventions and reporting: the state of the art and future directions for psychological research. Dev Rev 41:71–90. https://doi.org/10.1016/j.dr.2016.06.004
doi: 10.1016/j.dr.2016.06.004
pubmed: 27942093
pmcid: 5145197
Goodman R (1997) The strengths and difficulties Questionnaire: a research note. J Child Psychol Psychiatry 38:581–586
doi: 10.1111/j.1469-7610.1997.tb01545.x
pubmed: 9255702
Goodman R, Ford T, Simmons H et al (2000) Using the strengths and difficulties Questionnaire (SDQ) to screen for child psychiatric disorders in a community sample. Br J Psychiatry 177:534–539. https://doi.org/10.1192/bjp.177.6.534
doi: 10.1192/bjp.177.6.534
pubmed: 11102329
Goodman R (2001) Psychometric properties of the strengths and difficulties questionnaire. J Am Acad Child Adolesc Psychiatry 40:1337–1345. https://doi.org/10.1097/00004583-200111000-00015
doi: 10.1097/00004583-200111000-00015
pubmed: 11699809
He J-P, Burstein M, Schmitz A, Merikangas KR (2013) The strengths and difficulties Questionnaire (SDQ): the factor structure and scale validation in U.S. adolescents. J Abnorm Child Psychol 41:583–595. https://doi.org/10.1007/s10802-012-9696-6
doi: 10.1007/s10802-012-9696-6
pubmed: 23183936
Speyer LG, Auyeung B, Murray AL (2022) Longitudinal invariance of the strengths and difficulties Questionnaire Across ages 4 to 16 in the ALSPAC Sample. https://doi.org/10.1177/10731911221128948 . Assessment
Murray AL, Speyer LG, Hall HA et al (2021) A longitudinal and gender invariance analysis of the strengths and difficulties Questionnaire Across ages 3, 5, 7, 11, 14, and 17 in a large U.K.-Representative Sample. Assessment 29:1248–1261. https://doi.org/10.1177/10731911211009312
doi: 10.1177/10731911211009312
pubmed: 33874786
pmcid: 9301174
Armitage JM, Tseliou F, Riglin L et al (2023) Validation of the strengths and difficulties Questionnaire (SDQ) emotional subscale in assessing depression and anxiety across development. https://doi.org/10.1101/2023.03.30.23287961 . medRxiv 2023.03.30.23287961
Connelly R, Platt L (2014) Cohort Profile: UK Millennium Cohort Study (MCS). Int J Epidemiol 43:1719–1725. https://doi.org/10.1093/ije/dyu001
doi: 10.1093/ije/dyu001
pubmed: 24550246
Plewis I, Calderwood L, Hawkes D et al (2007) Millennium Cohort Study: technical report on sampling. London Cent Longitud Study, Inst Educ
Boyd A, Golding J, Macleod J et al (2013) Cohort Profile: the ’children of the 90s’--the index offspring of the Avon Longitudinal Study of parents and children. Int J Epidemiol 42:111–127
doi: 10.1093/ije/dys064
pubmed: 22507743
Fraser A, Macdonald-Wallis C, Tilling K et al (2013) Cohort Profile: the Avon Longitudinal Study of parents and children: ALSPAC mothers cohort. Int J Epidemiol 42:97–110
doi: 10.1093/ije/dys066
pubmed: 22507742
Northstone K, Lewcock M, Groom A et al (2019) The Avon Longitudinal Study of parents and children (ALSPAC): an update on the enrolled sample of index children in 2019 [version 1; peer review: 2 approved]. Wellcome Open Res 4:51. https://doi.org/10.12688/wellcomeopenres.15132.1
doi: 10.12688/wellcomeopenres.15132.1
pubmed: 31020050
pmcid: 6464058
Bowen NK, Masa RD (2015) Conducting measurement invariance tests with ordinal data: a guide for social work researchers. J Soc Social Work Res 6:229–249
doi: 10.1086/681607
Gerosa T (2021) Measurement invariance with ordered categorical variables: applications in Longitudinal Survey Research. Oxford University Press
Hu LT, Bentler PM (1999) Cutoff criteria for fit indexes in Covariance structure analysis: conventional criteria Versus New Alternatives. Struct Equ Model Multidiscip J 6:1–55. https://doi.org/10.1080/10705519909540118
doi: 10.1080/10705519909540118
Gomez R, Stavropoulos V (2017) Parent ratings of the strengths and difficulties Questionnaire: what is the optimum factor model? Assessment 26:1142–1153. https://doi.org/10.1177/1073191117721743
doi: 10.1177/1073191117721743
pubmed: 28735555
Chen FF (2007) Sensitivity of goodness of fit indexes to lack of measurement invariance. Struct Equ Model Multidiscip J 14:464–504
doi: 10.1080/10705510701301834
Muthén LK Muthén BO Mplus user’s guide, Eighth. Muthén & Muthén, Los Angeles, CA
Janitza S, Klipker K, Hölling H (2020) Age-specific norms and validation of the German SDQ parent version based on a nationally representative sample (KiGGS). Eur Child Adolesc Psychiatry 29:123–136. https://doi.org/10.1007/s00787-019-01337-1
doi: 10.1007/s00787-019-01337-1
pubmed: 31016398
Achenbach TM, McConaughy SH, Howell CT (1987) Child/Adolescent behavioral and emotional problems: implications of cross-informant correlations for situational specificity. Psychol Bull 101:213–232. https://doi.org/10.1037/0033-2909.101.2.213
doi: 10.1037/0033-2909.101.2.213
pubmed: 3562706
Martin J, Tilling K, Hubbard L et al (2016) Association of genetic risk for schizophrenia with nonparticipation over time in a population-based cohort study. Am J Epidemiol 183:1149–1158. https://doi.org/10.1093/aje/kww009
doi: 10.1093/aje/kww009
pubmed: 27188935
pmcid: 4908211
Taylor AE, Jones HJ, Sallis H et al (2018) Exploring the association of genetic factors with participation in the Avon Longitudinal Study of parents and children. Int J Epidemiol 47:1207–1216. https://doi.org/10.1093/ije/dyy060
doi: 10.1093/ije/dyy060
pubmed: 29800128
pmcid: 6124613
Fitzsimons E, Haselden L, Smith K et al (2020) Millennium cohort study age 17 sweep (MCS7): user guide. Lond UCL Cent Longitud Stud 1:97
Asparouhov T, Muthén B (2010) Weighted least squares estimation with missing data. Mplus Tech Append 2010:5