Using Rasch measurement theory to assess the psychometric properties of a depressive symptoms scale in Norwegian adolescents

Kleppang, Annette Løvheim; Steigen, Anne Mari; Finbråten, Hanne Søberg

doi:10.1186/s12955-020-01373-5

Cited by 20 publications

(23 citation statements)

References 34 publications

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“…The mean scores were computed, and the results were dichotomized using a cutoff value of ≥3.0 to classify adolescents as 1 = with depressive symptoms versus 0 = with no depressive symptoms. This cutoff value has been used in Norway in previous population studies [23], and the depressive scale has been psychometrically evaluated among Norwegian adolescents and shown to have good reliability (person separation index 0.802) [30].…”

Section: Explanatory Variablesmentioning

confidence: 99%

Associations between pain, self-efficacy, sleep duration, and symptoms of depression in adolescents: a cross-sectional survey

Haraldstad

Stea

2021

BMC Public Health

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Background Although pain has been identified as an important public health problem among adolescents, few studies have investigated possible protective and risk factors for pain. The main aim of the present study was to investigate associations between prevalence of daily pain, self-efficacy, sleep duration, and symptoms of depression in a representative sample of Norwegian adolescents. Methods A comprehensive cross-sectional survey was completed by 12,867 junior high school students and high school students (response rate: 90%) aged 14–19 years. Logistic regression models were adjusted for age, gender, and parental educational level. Results We found a high prevalence of daily pain among adolescents, especially among girls (19%) compared with boys (7%). Short sleep duration was associated with increased odds ratios (ORs) of pain in the shoulders/neck (OR 1.3; 95% CI 1.3–2.0) and stomach (1.7; 1.2–2.4). Symptoms of depression were associated with increased ORs for all measured types of daily pain, including head (3.7; 3.0–4.6), shoulders/neck (3.9; 3.1–4.8), joints/muscles (4.3; 3.3–5.6), and stomach (5.5; 4.1–7.4). By contrast, self-efficacy was not associated with any form of daily pain. Conclusion Given the burden of pain, high incidence of pain problems, and strong association between pain and depression and, to some degree, short sleep duration, co-occurring symptoms may be an important area for research in the public health field. The results highlight the importance of early identification and prevention. Longitudinal studies are needed to understand better pain problems and their underlying mechanisms with the aim of developing targeted interventions.

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Section: Explanatory Variablesmentioning

confidence: 99%

Associations between pain, self-efficacy, sleep duration, and symptoms of depression in adolescents: a cross-sectional survey

Haraldstad

Stea

2021

BMC Public Health

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“….) or unknown groups (latent classes) (Golia, 2015;Cho et al, 2016;Davis et al, 2020;Kleppang et al, 2020) for detecting so-called "biased" items and assessing their impact on the latent trait parameters' estimates. Although longitudinal IRT or RMT models could also be used in the same way to investigate RS or lack of longitudinal invariance depending on covariates, longitudinal invariance is rarely investigated with IRT or RMT models and covariates are seldom included in such models.…”

Section: Introductionmentioning

confidence: 99%

“…However, an additional issue arises as patients might have a different perception of the measured PRO depending on their group membership at a specific time point, a phenomenon known as differential item functioning (DIF). Integrating covariates in cross-sectional IRT or RMT models used as latent regression models is quite common to investigate DIF between known (e.g., gender, age…) or unknown groups (latent classes) ( Golia, 2015 ; Cho et al, 2016 ; Davis et al, 2020 ; Kleppang et al, 2020 ) for detecting so-called “biased” items and assessing their impact on the latent trait parameters’ estimates. Although longitudinal IRT or RMT models could also be used in the same way to investigate RS or lack of longitudinal invariance depending on covariates, longitudinal invariance is rarely investigated with IRT or RMT models and covariates are seldom included in such models.…”

Section: Introductionmentioning

confidence: 99%

How to Investigate the Effects of Groups on Changes in Longitudinal Patient-Reported Outcomes and Response Shift Using Rasch Models

et al. 2020

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In order to investigate patients’ experience of healthcare, repeated assessments of patient-reported outcomes (PRO) are increasingly performed in observational studies and clinical trials. Changes in PRO can however be difficult to interpret in longitudinal settings as patients’ perception of the concept being measured may change over time, leading to response shift (longitudinal measurement non-invariance) and possibly to erroneous interpretation of the observed changes in PRO. Several statistical methods for response shift analysis have been proposed, but they usually assume that response shift occurs in the same way in all individuals within the sample regardless of their characteristics. Many studies aim at comparing the longitudinal change of PRO into two groups of patients (treatment arm, different pathologies, …). The group variable could have an effect on PRO change but also on response shift effect and the perception of the questionnaire at baseline. In this paper, we propose to enhance the ROSALI algorithm based on Rasch Measurement Theory for the analysis of longitudinal PRO data to simultaneously investigate the effects of group on item functioning at the first measurement occasion, on response shift and on changes in PRO over time. ROSALI is subsequently applied to a longitudinal dataset on change in emotional functioning in patients with breast cancer or melanoma during the year following diagnosis. The use of ROSALI provides new insights in the analysis of longitudinal PRO data.

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“…The data used in this study were collected in 2017–2019 and provide an up-to-date description of key aspects of adolescents’ lives. Additionally, the outcome measure worked well psychometrically at a general level [ 37 ]. A limitation of the study was the cross-sectional design, which precluded inferences about causal relationships.…”

Section: Discussionmentioning

confidence: 99%

“…The depressive scale was psychometrically evaluated among Norwegian adolescents. The scale showed good reliability (Person separation index: 0.802), the targeting was acceptable, the response categories were ordered, and as a whole, the scale worked reasonably well at a general level [ 37 ].…”

Section: Methodsmentioning

confidence: 99%

Leisure-Time Activities in Different Contexts and Depressive Symptoms in Norwegian Adolescents: A Cross-Sectional Study

Kleppang

Skille

2022

IJERPH

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The purpose of this study was to examine the association between physical activity organised in sports clubs, non-organised physical activity, other organised leisure-time activities, and depressive symptoms among adolescents. This study was based on cross-sectional data from the Ungdata survey conducted between 2017 and 2019. The sample comprised 7656 adolescents (aged 13–16 years). Binominal logistic regression was used to analyse the association between the three different leisure-time activities and depressive symptoms. All models were adjusted for gender, family economy, parents’ higher education, having friends, alcohol intoxication, and smoking. The odds for symptoms of depression were higher for those who were less physically active in a sports club (OR: 1.34, 95% CI: 1.15–1.57) and in non-organised physical activities (OR: 1.50, 95% CI: 1.29–1.74) and lower for those who participated less in other organised leisure-time activities (OR: 0.79, 95% CI: 0.68–0.92) compared with those who were physically active (sports club and non-organised) and those who participated in other organised leisure-time activities. Our findings suggested that being physically active, both in a sports club and in non-organised activities, was associated with lower odds of depressive symptoms among adolescents. Additional research is needed to confirm a possible causal relationship.

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Using Rasch measurement theory to assess the psychometric properties of a depressive symptoms scale in Norwegian adolescents

Cited by 20 publications

References 34 publications

Associations between pain, self-efficacy, sleep duration, and symptoms of depression in adolescents: a cross-sectional survey

Associations between pain, self-efficacy, sleep duration, and symptoms of depression in adolescents: a cross-sectional survey

How to Investigate the Effects of Groups on Changes in Longitudinal Patient-Reported Outcomes and Response Shift Using Rasch Models

Leisure-Time Activities in Different Contexts and Depressive Symptoms in Norwegian Adolescents: A Cross-Sectional Study

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