Skip to main content
Top
Published in: Health and Quality of Life Outcomes 1/2019

Open Access 01-12-2019 | Research

Cross-country comparisons of trends in adolescent psychosomatic symptoms – a Rasch analysis of HBSC data from four Nordic countries

Authors: Curt Hagquist, Pernille Due, Torbjørn Torsheim, Raili Välimaa

Published in: Health and Quality of Life Outcomes | Issue 1/2019

Login to get access

Abstract

Background

To analyse the psychometric properties of the HBSC Symptom Checklist (HBSC-SCL) on psychosomatic symptoms with a focus on the operating characteristics of the items, and on the impacts of measurement distortions on the comparisons of person measures across time and between countries.

Methods

Data were collected in 1993/94, 1997/98, 2001/02, 2005/06, 2008/09, 2013/14 in Denmark, Finland, Norway and Sweden as part of the Health Behaviour in School-aged Children (HBSC) study. Data comprised 116,531 students 11, 13 and 15 years old. Rasch analysis was conducted of the HBSC-SCL consisting of eight items with a focus on Differential Item Functioning (DIF) and item threshold ordering. The impacts of DIF and threshold disordering on trend analyses were analysed in a subsample consisting of 15 years old students.

Results

One item shows evidence of severe DIF and the categorisation of some items does not seem to work as intended. Analyses of changes based on proportions of psychosomatic symptoms show that bad item functioning affects some comparisons between countries across time: A four percentage point difference between 15 years old girls in Finland and Sweden concerning the rate of increase of psychosomatic symptoms from 1994 to 2014 disappears when the problems with DIF and disordered item thresholds are taken into account. Although the proportions of students with psychosomatic symptoms are clearly higher 2014 than 1994 in all four countries the shape of most trends is nonlinear.

Conclusions

Some of the cross-country comparisons were distorted because of DIF and problems related to disordering of the item thresholds. The comparisons among girls between Finland and Sweden were affected by the problems pertaining to the original measure of psychosomatic symptoms, while the trend patterns among boys were not much affected. In addition to confirming increasing rates of adolescent mental health problems in the Nordic countries, the substantive analyses in the current study show that Finland is joining Sweden in having the sharpest increase among older adolescents, in particular among girls.
To improve the functioning of the scale the DIF item could be removed or replaced and response categories collapsed in post hoc analyses.
Literature
1.
go back to reference Rutter M, Smith DJ. Psychosocial disorders in young people: time trends and their causes. Chichester: Wiley for Academia Europaea; 1995. Rutter M, Smith DJ. Psychosocial disorders in young people: time trends and their causes. Chichester: Wiley for Academia Europaea; 1995.
2.
go back to reference Bor W, Dean AJ, Najman J, Hayatbakhsh R. Are child and adolescent mental health problems increasing in the 21st century? A systematic review. Aust N Z J Psychiatry. 2014;48(7):606–16.CrossRef Bor W, Dean AJ, Najman J, Hayatbakhsh R. Are child and adolescent mental health problems increasing in the 21st century? A systematic review. Aust N Z J Psychiatry. 2014;48(7):606–16.CrossRef
3.
go back to reference Collishaw S. Annual research review: secular trends in child and adolescent mental health. J Child Psychol Psychiatry. 2015;56(3):370–93.CrossRef Collishaw S. Annual research review: secular trends in child and adolescent mental health. J Child Psychol Psychiatry. 2015;56(3):370–93.CrossRef
4.
go back to reference Currie C, Zanotti C, Morgan A, Currie D, de Looze M, Roberts C, et al., editors. Social determinants of health and well-being among young people. Health behaviour in school-aged children (HBSC) study: international report from the 2009/2010 survey. Copenhagen: WHO Regional Office for Europe; 2012. Currie C, Zanotti C, Morgan A, Currie D, de Looze M, Roberts C, et al., editors. Social determinants of health and well-being among young people. Health behaviour in school-aged children (HBSC) study: international report from the 2009/2010 survey. Copenhagen: WHO Regional Office for Europe; 2012.
5.
go back to reference Inchley J, Currie D, Young T, Samdal O, Torsheim T, Augustson L, et al., editors. Growing up unequal: gender and socioeconomic differences in young people’s health and well-being. Health behaviour in school-aged children (HBSC) study: international report from the 2013/2014 survey. Copenhagen: WHO Regional Office for Europe; 2016. Inchley J, Currie D, Young T, Samdal O, Torsheim T, Augustson L, et al., editors. Growing up unequal: gender and socioeconomic differences in young people’s health and well-being. Health behaviour in school-aged children (HBSC) study: international report from the 2013/2014 survey. Copenhagen: WHO Regional Office for Europe; 2016.
6.
go back to reference Ottova-Jordan V, Smith OR, Gobina I, Mazur J, Augustine L, Cavallo F, et al. Trends in multiple recurrent health complaints in 15-year-olds in 35 countries in Europe, North America and Israel from 1994 to 2010. Eur J Pub Health. 2015;25(suppl 2):24–7.CrossRef Ottova-Jordan V, Smith OR, Gobina I, Mazur J, Augustine L, Cavallo F, et al. Trends in multiple recurrent health complaints in 15-year-olds in 35 countries in Europe, North America and Israel from 1994 to 2010. Eur J Pub Health. 2015;25(suppl 2):24–7.CrossRef
7.
go back to reference Potrebny T, Wiium N, Lundegard MMI. Temporal trends in adolescents' self-reported psychosomatic health complaints from 1980-2016: a systematic review and meta-analysis. PLoS One. 2017;12(11). Potrebny T, Wiium N, Lundegard MMI. Temporal trends in adolescents' self-reported psychosomatic health complaints from 1980-2016: a systematic review and meta-analysis. PLoS One. 2017;12(11).
8.
go back to reference Verhulst F. Commentary: physical health outcomes and health care have improved so much, so why is child mental health getting worse? Or is it? A commentary on Collishaw (2015). J Child Psychol Psychiatry. 2015;56(3):394–6.CrossRef Verhulst F. Commentary: physical health outcomes and health care have improved so much, so why is child mental health getting worse? Or is it? A commentary on Collishaw (2015). J Child Psychol Psychiatry. 2015;56(3):394–6.CrossRef
9.
go back to reference Hagquist C, Välimaa R, Simonsen N, Suominen S. Differential item functioning in trend analyses of adolescent mental health – illustrative examples using HBSC-data from Finland. Child Indic Res. 2017;10(3):673–91.CrossRef Hagquist C, Välimaa R, Simonsen N, Suominen S. Differential item functioning in trend analyses of adolescent mental health – illustrative examples using HBSC-data from Finland. Child Indic Res. 2017;10(3):673–91.CrossRef
10.
go back to reference Ravens-Sieberer U, Erhart M, Torsheim T, Hetland J, Freeman J, Danielson M, et al. An international scoring system for self-reported health complaints in adolescents. Eur J Pub Health. 2008;18(3):294–9.CrossRef Ravens-Sieberer U, Erhart M, Torsheim T, Hetland J, Freeman J, Danielson M, et al. An international scoring system for self-reported health complaints in adolescents. Eur J Pub Health. 2008;18(3):294–9.CrossRef
11.
go back to reference Masters GN. A Rasch model for partial credit scoring. Psychometrika. 1982;47(2):149–74.CrossRef Masters GN. A Rasch model for partial credit scoring. Psychometrika. 1982;47(2):149–74.CrossRef
12.
go back to reference Hagquist C, Bruce M, Gustavsson JP. Using the Rasch model in nursing research: an introduction and illustrative example. Int J Nurs Stud. 2009;46(3):380–93.CrossRef Hagquist C, Bruce M, Gustavsson JP. Using the Rasch model in nursing research: an introduction and illustrative example. Int J Nurs Stud. 2009;46(3):380–93.CrossRef
13.
go back to reference Andrich D. Rasch models for measurement. In: Report no.: 68, Quantitative Applications in the social sciences. Newbury Park, CA: sage; 1988. Andrich D. Rasch models for measurement. In: Report no.: 68, Quantitative Applications in the social sciences. Newbury Park, CA: sage; 1988.
14.
go back to reference Andrich D. Rasch models for ordered response categories. In: Everitt BS, Howell DC, editors. Encyclopedia of Statistics in Behavioral Science. Chichester: Wiley; 2005. Andrich D. Rasch models for ordered response categories. In: Everitt BS, Howell DC, editors. Encyclopedia of Statistics in Behavioral Science. Chichester: Wiley; 2005.
15.
go back to reference Andrich D, de Jong JHAL, Sheridan BE. Diagnostic opportunities with the Rasch model for ordered response categories. In: Rost J, Langeheine R, editors. Applications of latent trait and latent class models in the social sciences. Münster and New York: Waxmann Verlag GMBH; 1997. p. 59–72. Andrich D, de Jong JHAL, Sheridan BE. Diagnostic opportunities with the Rasch model for ordered response categories. In: Rost J, Langeheine R, editors. Applications of latent trait and latent class models in the social sciences. Münster and New York: Waxmann Verlag GMBH; 1997. p. 59–72.
16.
go back to reference Andrich D, Hagquist C. Real and artificial differential item functioning. J Educ Behav Stat. 2012;37(3):387–416.CrossRef Andrich D, Hagquist C. Real and artificial differential item functioning. J Educ Behav Stat. 2012;37(3):387–416.CrossRef
17.
go back to reference Andrich D, Hagquist C. Real and artificial differential item functioning in polytomous items. Educ Psychol Meas. 2015;75(2):185–207.CrossRef Andrich D, Hagquist C. Real and artificial differential item functioning in polytomous items. Educ Psychol Meas. 2015;75(2):185–207.CrossRef
18.
go back to reference Hagquist C, Andrich D. Determinants of artificial DIF – a study based on simulated polytomous data. Psychol Test Assess Model. 2015;57(3):342–76. Hagquist C, Andrich D. Determinants of artificial DIF – a study based on simulated polytomous data. Psychol Test Assess Model. 2015;57(3):342–76.
19.
go back to reference Hagquist C, Andrich D. Recent advances in analysis of differential item functioning in health research using the Rasch model. Health Qual Life Outcomes. 2017;15(181):1–8. Hagquist C, Andrich D. Recent advances in analysis of differential item functioning in health research using the Rasch model. Health Qual Life Outcomes. 2017;15(181):1–8.
20.
go back to reference Andrich D, Sheridan B, Luo G. RUMM2030: A windows interactive program for analysing item response data with Rasch Unidimensional Models for Measurement. Perth, Western Australia: RUMM Laboratory; 2014. Andrich D, Sheridan B, Luo G. RUMM2030: A windows interactive program for analysing item response data with Rasch Unidimensional Models for Measurement. Perth, Western Australia: RUMM Laboratory; 2014.
21.
go back to reference Hagquist C, Andrich D. Measuring subjective health among adolescents in Sweden: a Rasch analysis of the HBSC-instrument. Soc Indic Res. 2004;68(2):201–20.CrossRef Hagquist C, Andrich D. Measuring subjective health among adolescents in Sweden: a Rasch analysis of the HBSC-instrument. Soc Indic Res. 2004;68(2):201–20.CrossRef
22.
go back to reference Haugland S, Wold B, Stevenson JIM, Aaroe LE, Woynarowska B. Subjective health complaints in adolescence: a cross-national comparison of prevalence and dimensionality. Eur J Pub Health. 2001;11(1):4–10.CrossRef Haugland S, Wold B, Stevenson JIM, Aaroe LE, Woynarowska B. Subjective health complaints in adolescence: a cross-national comparison of prevalence and dimensionality. Eur J Pub Health. 2001;11(1):4–10.CrossRef
23.
go back to reference Hetland J, Torsheim T, Aarø LE. Subjective health complaints in adolescence: dimensional structure and variation across gender and age. Scand J Public Health. 2002;30(3):223–30.CrossRef Hetland J, Torsheim T, Aarø LE. Subjective health complaints in adolescence: dimensional structure and variation across gender and age. Scand J Public Health. 2002;30(3):223–30.CrossRef
Metadata
Title
Cross-country comparisons of trends in adolescent psychosomatic symptoms – a Rasch analysis of HBSC data from four Nordic countries
Authors
Curt Hagquist
Pernille Due
Torbjørn Torsheim
Raili Välimaa
Publication date
01-12-2019
Publisher
BioMed Central
Published in
Health and Quality of Life Outcomes / Issue 1/2019
Electronic ISSN: 1477-7525
DOI
https://doi.org/10.1186/s12955-019-1097-x

Other articles of this Issue 1/2019

Health and Quality of Life Outcomes 1/2019 Go to the issue