Background
Mental health status has been shown to be significantly correlated with health-related quality of life (HRQOL) in both adult [
1] and pediatric [
2] populations. In fact, children with mental health problems have been reported to have poorer HRQL than children with physical disorders [
3]. Likewise, children's mental disorders were shown to interfere significantly not only with their daily lives but with those of parents and families as well.
Most of the studies performed to date on the association between HRQOL and mental health in children have been cross-sectional [
2‐
4]. Few, if any, studies have examined this association using a longitudinal design. In comparison with cross-sectional studies, longitudinal studies help to provide a clearer picture of the direction and magnitude of change in HRQOL, to identify factors associated with change over time, to identify particularly vulnerable populations or dimensions in which changes are most marked, and to confirm the results of cross-sectional studies. Determining the association between changes in mental health status and changes in HRQOL is important because it allows us to examine the extent to which improvements in psychopathology correspond to improvements in quality of life and, conversely, to investigate the effect of a deterioration or persistence of mental problems in terms of their impact on burden of disease.
The European KIDSCREEN study was conducted to develop a generic HRQOL questionnaire for children and adolescents 8-18 years old in 13 European countries [
5]. In order to study the evolution over time of HRQOL measured using the KIDSCREEN instrument, a follow-up study was performed 3 years after the initial KIDSCREEN administration in the Spanish sample. One of the measures included at both study contacts was the Strengths and Difficulties Questionnaire (SDQ) which was designed to assess mental health status in the pediatric general population [
6]. The inclusion of this questionnaire in the longitudinal study alongside the KIDSCREEN-52 instrument made it possible to study the degree of association between changes in mental health status and HRQOL.
The primary objective of the study was to assess whether changes in mental health status were associated with changes in HRQOL in children and adolescents aged 8 - 18 years. The potential mediating effect of gender and socio-economic status was also examined.
Results
A total of 840 children and their parents participated at baseline and 454 at follow-up (response rate = 54%). Table
1 shows the sample characteristics at baseline and follow-up. When compared with non-respondents at follow-up, respondents were younger with a slightly higher parental level of education.
Table 1
Sample characteristics at baseline and participants at the Spanish KIDSCREEN follow-up study
Gender | | | | | | |
Boys | 420 | 50 | 218 (48%) | 202 (52.5%) | 0.213 | 1 |
Family Affluence Scale | | | | | | |
Low | 167 | 20.2 | 83 (18.7%) | 84 (22.1%) | | |
Middle | 411 | 49.9 | 224 (50.5%) | 187 (49.2%) | 0.458 | 2 |
High | 246 | 29.9 | 137 (30.9%) | 109 (28.7%) | | |
Parental level of education | | | | | | |
Primary | 356 | 43.2 | 177 (39.4%) | 179 (47.7%) | | |
Secondary | 195 | 23.7 | 119 (26.5%) | 76 (20.3%) | 0.032 | 2 |
University | 273 | 33.1 | 153 (34.1%) | 120 (32.0%) | | |
Age (mean, SD) | 12.91 (2.91) | | 12.71 (2.88) | 13.14 (2.92) | 0.031 | 838 |
SDQ total difficulties (mean, SD) | 8.14 (5.04) | | 7.89 (4.84) | 8.43 (5.24) | 0.130 | 809 |
Table
2 shows KIDSCREEN scores at baseline and follow-up and effect sizes between administrations for each of the 3 change categories studied (improved, stable, and worsened). In general, HRQOL deteriorated over time in all 3 categories and on almost all of the KIDSCREEN-52 dimensions and the index. Deterioration was much more marked in the groups classified as 'worsened' in almost all KIDSCREEN dimensions and index, ranging from an ES = -0.81 (PW) to 0.18 (BU). The group classified as 'improved' showed the smallest overall reduction in HRQOL, ranging from an ES = -0.26 (AU) to 0.51 (BU). The 'stable' group started above the 50 score which reflects the European average, and showed minimal to moderate deterioration at the end, ranging from ES = -0.35 on Self-perception to 0.35 in Bullying. The "improved' group started below 50 mainly in physical and psychological dimensions and showed even slightly higher scores than the 'stable' group at follow-up. The only KIDSCREEN-52 dimension to show improvement was the bullying dimension, with improvement being observed in all three groups.
Table 2
Mean Scores on the KIDSCREEN-52 dimensions and Index according to the 3 analyzed categories in the Strengths and Difficulties Questionnaire (SDQ) at baseline and in the follow-up, and effect size (ES)
Improvement (n = 43)
| | | | | | | | | | | |
Follow-up | 48.9 | 50.7 | 52.2 | 46.8 | 51.3 | 51.8 | 51.8 | 52.6 | 53.7 | 52.5 | 52.6 |
Baseline | 49.2 | 49.3 | 49.7 | 48.6 | 54.2 | 52.3 | 53.6 | 51.5 | 48.3 | 50.9 | 52.4 |
Effect size |
-0.02*
|
0.14*
|
0.21*
| -0.15 |
-0.26*
| -0.04 | -0.17 | 0.09 |
0.51*
| 0.16 | 0.01 |
Stable (n = 339)
| | | | | | | | | | | |
Follow-up | 48.9 | 50.0 | 50.8 | 47.0 | 50.3 | 50.1 | 51.7 | 50.8 | 52.5 | 52.4 | 50.3 |
Baseline | 52.4 | 53.0 | 51.9 | 50.0 | 52.0 | 52.2 | 54.6 | 52.7 | 49.1 | 51.3 | 53.7 |
Effect size |
-0.33*
|
-0.32*
| -0.10 |
-0.35*
| -0.19 |
-0.23*
|
-0.32*
| -0.18 |
0.35*
| 0.13 |
-0.34*
|
Worsened (n = 48)
| | | | | | | | | | | |
Follow-up | 44.9 | 45.2 | 44.4 | 46.0 | 46.4 | 46.6 | 48.5 | 47.0 | 51.7 | 48.8 | 45.3 |
Baseline | 50.6 | 53.1 | 48.9 | 50.4 | 52.2 | 48.8 | 53.8 | 52.5 | 49.9 | 50.6 | 51.0 |
Effect size |
-0.50*
|
-0.81*
|
-0.44*
|
-0.46*
|
-0.53*
| -0.19 |
-0.52*
|
-0.58*
| 0.18 | -0.17 |
-0.56*
|
Table
3 shows the results of the linear regression model used to analyze the association between mental health variables and HRQOL scores in 2006 after adjusting by socio-demographic variables and baseline HRQOL. The two factors with the strongest influence on HRQOL scores in 2006 were the SDQ 'worsened' category and undesirable life events in the past 3 years. For example, an undesirable life event such as breaking up with a boyfriend/girlfriend would be associated with a decrease of (weighted life event units = 39* [-1.7]/10) 6.6 points on the KIDSCREEN School Environment dimension (between 0.5 and 1 standard deviation). SDQ category of 'worsened' most strongly influenced the dimensions of psychological well-being, moods and emotions, autonomy and parents. Notably, undesirable life events were associated with deterioration on all HRQOL dimensions except that of Peers, which showed a statistically significant improvement. R
2 ranged from 0.16 to 0.33. No significant differences were found after stratifying the sample by age and gender.
Table 3
Multiple regression analysis of KIDSCREEN-52 dimensions and the KIDSCREEN-10 Index at follow-up
(Constant)
|
30.2*
|
31.3*
|
29.5*
|
32.5*
|
39.9*
|
30.7*
|
39.0*
|
33.6*
|
38.0*
|
40.1*
|
36.2*
|
Age
| -0.4 | -0.1 | 0.1 | -0.2 |
-0.5*
| 0.2 | -0.2 | 0.0 | -0.1 | -0.4 | -0.2 |
Gender
| 2.4 | -0.1 | 0.9 |
3.0*
| 0.5 | -0.5 |
-3.1*
| -1.1 | -0.8 | -0.9 | 0.3 |
FAS
| | | | | | | | | | | |
Low
| 0.3 | 0.0 | 1.0 | 1.6 | 2.0 | -1.0 | 1.7 | -0.9 | -0.5 | -3.0 | 0.8 |
Medium
| 0.4 | -0.2 | 0.3 | 0.8 | 0.0 | -1.0 | 1.0 | 0.0 | -0.1 | -1.8 | 0.6 |
Parental education
| | | | | | | | | | | |
Primary school
| -0.6 | 1.0 | 1.0 | 0.7 | 0.4 | 1.0 | -2.1 | 0.2 | 0.2 | -0.7 | -0.6 |
Secondary school
| -1.0 | 0.9 | 0.8 | 0.3 | -0.1 | 0.1 | -2.6 | -0.8 | 0.3 | -0.8 | -0.3 |
Kidscreen Baseline score
|
0.4*
|
0.4*
|
0.4*
|
0.2*
|
0.3*
|
0.4*
|
0.4*
|
0.4*
|
0.3*
|
0.4*
|
0.3*
|
SDQ
| | | | | | | | | | | |
Improvement
| 1.4 | 1.9 | 2.2 | -0.5 | 0.0 | 1.5 | 0.6 | 2.3 | 1.3 | 0.3 | 3.0 |
Worsened
| -3.2 |
-4.6*
|
-5.2*
| -1.1 |
-3.9*
| -1.9 | -3.0 | -2.9 | -0.6 | -2.4 |
-4.0*
|
Undesirable life events
|
-1.2*
|
-1.2*
|
-1.0*
| -0.3 | -0.1 |
-1.4*
|
0.9*
|
-1.7*
| -0.7 | -0.6 |
-1.3*
|
R
2
| 0.31 | 0.25 | 0.21 | 0.20 | 0.14 | 0.19 | 0.20 | 0.26 | 0.15 | 0.25 | 0.31 |
Discussion
We found that HRQOL worsened as a whole in this sample of children and adolescents followed over 3 years, but that the decline was much more marked in those whose mental health deteriorated. In those whose mental health remained stable or improved over the study period, the decline in HRQOL was relatively slight. Regression modelling showed that current HRQOL was more influenced by worsening mental health and undesirable life events in the past 3 years than by the other factors included.
The study had some limitations. Firstly, the response rate at follow-up was only 54% and there were some differences between participants and non-participants. As a consequence, a selective follow-up could have biased our assessment of the evolution of HRQOL. Nevertheless, the response rate was similar to that in other longitudinal population-based studies [
22]. Moreover, although those followed up were slightly younger and from more educated families than non-participants, there were no differences in their baseline KIDSCREEN-52 scores. Secondly, the 3 year interval between baseline and follow-up and the fact that there was only one follow-up administration makes it difficult to establish trends, as many intervening events may not be captured. Nevertheless, this is one of few studies to attempt to determine the impact of changes in mental health on HRQOL in a longitudinal design and it provides some indication of directionality. Future studies should consider more, and more frequent study contacts. One further major limitation of this study is that it was not possible to perform structured clinical interviews, and results and conclusion were based on self and parents' reports data by mails. Probably this will significantly decrease the validity of the data given the absence of psychiatric diagnosis. Nevertheless, the SDQ has been widely used as a screening tool and has been shown to be reliable and valid in detecting possible cases of psychopathology [
6,
16]. It has also been proposed as one of the principal tools to be used worldwide for screening purposes as well as in clinical assessment and cross-cultural comparisons [
23]. Finally, the SDQ and the KIDSCREEN-52 were originally intended for use in age groups 4 - 16 and 8 - 18, respectively, and here they were used in subjects who were above the upper age limit at follow-up. This may have affected results, though cognitive debriefing in older respondents suggested that the instruments were acceptable and relevant in participants aged 16 - 21 (unpublished data).
Strengths of the present study include the fact that it is one of the first to examine correlations between mental health and HRQOL in a longitudinal design, thus adding to knowledge contributed by earlier cross-sectional studies. For example, we have shown that HRQOL in this age group declines in general, but that the decline is exacerbated in those whose mental health also worsened. Improvements in mental health appear to act as a protective factor against this overall decline. The overall deterioration observed is likely due to pubertal changes which were shown to lead to deterioration in HRQOL in a previous study [
24]. A further strength of the study was the use of well-validated instruments to measure HRQOL and mental health. The Spanish versions of the KIDSCREEN-52 [
9] and the SDQ [
18] showed good reliability and validity. For HRQOL measures, it is considered preferable to use self-report whenever feasible [
25]. Likewise, we obtained ratings of mental health from parents and used a 1-SD cut point on the measure, thereby applying quite a strict definition of change on mental health, but one which ensures a high level of sensitivity. It is, for example, higher than the 0.8 SD from the mean, which is generally accepted as representing a large change in patient-reported outcome measures [
26,
27]. Moreover, it likely represents an improvement over previous strategies used to classify children as cases or non-cases and which showed relatively low ability to detect cases [
16].
The findings are in line with those of other studies which have shown that children with mental disorders have significantly worse HRQOL than children with no such disorders and that they often have worse HRQOL than children with physical disorders [
3]. Other studies in this area have also shown that specific HRQOL sub-domains are associated with distinct diagnostic categories such as attention-deficit and disruptive disorders, anxiety disorders, pervasive developmental disorder and others [
4]. Longitudinally designed studies to assess the impact of mental health problems on HRQOL have primarily focused on analyzing changes in specific symptoms or clinical outcomes in diseases such as attention deficit hyperactivity disorder in samples of children attending health services [
28,
29]. A cross-sectional study of the relationship between mental health and HRQOL in representative samples of children and adolescents from 12 European countries found a moderate effect size (range 0.21 in Switzerland to 0.44 in the Czech Republic) on the KIDSCREEN-10 index when children categorized as without mental health problems were compared with probable cases [
30]. These results are similar to those from the BELLA study, a longitudinal study to collect information on mental health and HRQOL in a representative sample of German children and adolescents and their parents [
31]. Although only cross-sectional baseline data are currently available, the authors also found lower HRQOL in children classified as a probable or possible case of mental health problems on the SDQ compared with healthy children. Again, the HRQOL of these children was found to be poorer than that of children with special health care needs, or who reported pain or asthma [
32]. In the present study we did not collect data on other specific physical symptoms or diagnoses. Nevertheless, our study confirms that persistence of poor mental health or worsening in mental health status may have a multidimensional effect on HRQOL 3 years later.
The results of the present study also adds to earlier findings that one of the better predictors of current psychopathology was previous psychopathology [
33,
34] in the sense that those who had psychopathology at any point in the study had poorer HRQOL than those without psychopathology at any point in the study. This indicates the considerable importance of mental health on HRQOL even when mental health improved over the study period. The apparently paradoxical association between the occurrence of undesirable life events and an improvement in HRQOL in the Peers and Social Support dimension could be explained by the type of life event. For example, the break-up of a romantic relationship could have a positive impact on other peer relationships.
Future research should address specific mental health problems such as attention deficit and hyperactivity and emotional problems to determine the extent to which changes in symptoms over time have a corresponding effect on HRQOL and whether HRQOL after treatment interventions recovers to the level of the general population. Future studies of specific, medium or long-term interventions (behavioural or other types of therapy) should also take into account that the natural course of HRQOL in this population is to decline so benefits from any interventions in terms of HRQOL might not be as large as initially expected.
Competing interests
The authors declare that they have no competing interests.
Authors' contributions
LR, JMV, ME and JA participated in the conception and design of the study. LR, JAPV, and EVO analyzed the data. MH and LR participated in the drafting of the article. All authors contributed to a critical revision of the manuscript and made a substantial contribution to its content, and read and approved the final manuscript.