versão impressa ISSN 0102-7972
Psicol. Reflex. Crit. vol.25 no.2 Porto Alegre 2012
Qualidade de vida relacionada à saúde de crianças e adolescentes portugueses
Margarida Gaspar de MatosI,*; Tania GasparII; Celeste SimõesI
IUniversidade Técnica de Lisboa, Lisboa, Portugal
IIUniversidade Lusíada, Lisboa, Portugal
The KIDSCREEN is a European cross-cultural and standardized instrument that assesses ten quality of life dimensions in children, adolescents and their parents. This instrument is used to validate evidences to support general inferences on quality-of-life measures obtained by the Portuguese version of KIDSCREEN10 for children and adolescents, in the context of a survey research carried on in Portugal. The present study focuses only on the KIDSCREEN children and adolescents' versions. A sample of 8072 Portuguese children and adolescents attending the 5th grade (19.3%), 6th grade (19.2%), 7th grade (20.3%), 8th (21.6%) and 10th grade (19.7%) in Portuguese schools were inquired, with a mean age of 13.2; SD 2.06, randomly distributed regarding gender. The Portuguese version of KIDSCREEN-10 instrument showed a good Internal Consistency of .78. Chosen fit indexes indicate good fit to the data. Specifically in the final solution the RMSEA was lower than .03 and the upper limit of 90% confidence interval was lower than .05, and CFI was higher than .95. Results indicated that the current 10-item structure is invariant across age groups, nationality and socio-economic level. The KIDSCREEN-10 questionnaire is a reliable instrument to estimate the perception of quality of life in children and adolescents. Psychometric guidelines are presented for the Portuguese population aged 10 to 16 years old.
Keywords: Assessment, health-related quality of life, children and adolescents.
O KIDSCREEN é um instrumento europeu transcultural e padronizado que avalia dez dimensões da qualidade de vida de crianças, adolescentes e seus pais. Este instrumento é usado para validar evidências a fim de apoiar inferências gerais sobre medidas de qualidade de vida obtidas pela versão portuguesa do KIDSCREEN-10 para crianças e adolescentes, no contexto de uma pesquisa de investigação feita em Portugal. O presente estudo centra-se apenas na versão KIDSCREEN para adolescentes e crianças. Uma amostra de 8.072 crianças e adolescentes portugueses frequentando a 5ª série (19,3%), 6ª série (19,2%), 7ª série (20,3%), 8ª série (21,6%) e 10ª série (19,7%) em escolas do país foram intrevistadas, com uma idade média de 13,2; DP 2,06, distribuídos aleatoriamente em relação ao sexo. A versão portuguesa do instrumento KIDSCREEN-10 mostrou uma boa consistência interna de 0,78. Os índices de ajuste escolhidos indicam bom ajuste aos dados. Especificamente na solução final o RMSEA foi inferior a 0,03, o limite superior do intervalo de confiança de 90% foi inferior a 0,05 e CFI foi superior a 0,95. Resultados indicaram que a estrutura atual do item 10 é invariável entre grupos de idade, nacionalidade e nível socio-econômico. O questionário KIDSCREEN-10 é um instrumento confiável para estimar a percepção da qualidade de vida em crianças e adolescentes. Orientações psicométricas são apresentadas para a população portuguesa entre 10 e 16 anos de idade.
Palavras-chave: Avaliação, qualidade de vida relacionada à saúde, crianças e adolescentes.
Children and adolescents have been recognized as important facets of global public health. Adopting an approach linked to the quality of life can increase the understanding and knowledge of the health of children and adolescents and help to establish policies that promote their health and well-being (Fuh, Wang, Lu, & Juang, 2005).
Measuring the health-related quality of life has a growing importance as an over time mean of monitoring the health of the population, to detect subgroups of the population with lower HRQoL (Health Related Quality of Life) and evaluating the impact of interventions on public health in a given population. Before the project KIDSCREEN there were no standardized cross-cultural relevant instruments for application with equivalence in paediatric populations in different European populations from different countries (Rajmil et al., 2004; Ravens-Sieberer et al., 2001; Ravens-Sieberer et al., 2005). Apart from that, the subjective health has been considered of utmost importance to consider the state of health in national samples in international studies and regarding the measurement of perceptual indicators of health, namely the collaborative study of the World Health Organization (WHO), Health Behaviour in School Aged Children ([HBSC], Currie, Hurrelmann, Settertobulte, Smith, & Todd, 2000; Currie et al., 2004; Currie, Samdal, Boyce, & Smith, 2001; Matos et al., 2000, 2003; Matos et al., 2006; Ravens-Sieberer et al., 2009).
There are new models considering quality of life not only as a functional matter or life status but also as a construct that involves a psychosocial adjustment, well-being, self-esteem, stress and coping, these five factors emphasize the world's self-perception of children and adolescents, their preferences and the quality of their world according to them, including the perception of personal happiness (Harding, 2001). If children or adolescents present more protective factors, they will assess their quality of life as the highest. The protective factor may mediate the relationship between the characteristics and skills of children and adolescents and therefore their quality of life (Gaspar, 2010; Lawford & Eiser, 2001).
Health Related Quality of Life (HRQoL) it is influenced by several personal factors, such us, self-esteem and optimism and social factors such us, relations with family and peer group (Gaspar, Matos, Ribeiro, Leal, & Ferreira, 2009). Some studies associate the perception of well-being and personal happiness to having less risk behaviours and more protective health ones (Currie et al., 2008; Currie et al., 2000; Currie et al., 2004; Currie et al., 2001; Matos et al., 2003; Matos et al., 2006).
Rajmil et al. (2004) claimed that the concept of healthrelated quality of life in children and adolescents is not clearly defined, they underwent a literature review on generic and specific instruments for measuring the quality of life related to health, pointing out differences between definitions: the domains were almost always the same but they were distinctly operationalized. In the initial phase of the KIDSCREEN project development that meant to create a new European instrument for measuring the health-related quality of life in children and adolescents the authors argued that all questionnaires should include items from physical, psychological and social domains but the distribution of the number of items varied considerably between areas (Ravens-Sieberer et al., 2001).
The project's objective is not only for KIDSCREEN to develop an instrument to measure HRQoL for children, adolescents and their parents, but also to describe the relationships between the questionnaire and other relevant KIDSCREEN determinants. The KIDCSREEN group carried on an in depth literature review pointing out in addition to demographic variables (gender, age and SES), also other relevant determinants such as the physical and mental health of children and adolescents, and their relationship with parents, health status (physical, mental and social) and parental and social support. The HRQoL is correlated to health behaviours of children and adolescents and their use of health services. The assumptions for the construction of the relationship between HRQoL and the determinants were based on an integrative model proposed by The KIDSCREEN Group Europe (Detmar et al., 2006). This approach to a multidimensional quality of life provides information on different aspects of health-related quality of life providing a structure to identify and develop strategies to promote HRQoL in children and adolescents (Helseth & Lund, 2005).
The promotion of health requires the active support of physical and mental well-being and social health of individuals. The prevention of health is not only related to factors that may threat health and welfare, but also to preventive interventions based on measuring the health of children and adolescents at all levels. The health or subjective perceptions of well-being are considered important aspects of health promotion and are relevant indicators in the area of public health (Detmar et al., 2006; Ravens-Sieberer et al., 2001)
KIDSCREEN-52 was developed within the European project "Screening and Promotion for Health-Related Quality of Life in Children and Adolescents A European Public Health Perspective" (European Commission). During 3 years (2001-2004), 13 countries were co-ordinated by the German team (Rajmil et al., 2004; Ravens-Sieberer et al., 2001) who developed and evaluated this instrument, presenting a version for children and a version for parents, which can be used with children from 8 to 18 years old and their parents. It is a self-reported questionnaire of 52 items, which requires about 15 minutes being filled and reports to the "passed week". The KIDSCREEN52 is organized in 10 dimensions: Physical Well-being (5 items), Psychological Well-being (6 items), Moods and Emotions (7 items), Self-Perception (5 items), Autonomy (5 items), Parent Relation and Home Life Context (6 items), Financial Resources (3 items), Social Support and Peers (6 items), School Environment (6 items) and Social Acceptance and Bullying. The original scale was developed in English.
From the KIDSCREEN-52 Instrument were developed two short versions, KIDSCREEN-27 with 27 items, organized in 5 dimensions and KIDSCREEN-10 one-dimensional scale with ten items. The rational of short versions was to provide professionals both with an in depth instrument for clinical and research purposes, and to provide short versions for screening proposes, in school or hospital settings or as a moderator variable regarding population studies. Short versions were carried on by means of narrowing of the scope conceptually followed by subsequent exploratory factor analysis and confirmatory factor analysis, and were published elsewhere (Gaspar et al., 2010a; Matos & Gaspar, 2006; Ravens-Sieberer et al., 2001). KIDSCREEN-10 short version consisted of only one general factor (Global health related quality of life) while the long 52 item consisted of 10 sub scales estimating several aspects of HROL, and the 27 item consisted of 5 subscales, as said.
The long version was the first version translated (using standard methods of double translation, back translation and between judges agreement), and validated in Portugal and the results where already published elsewhere, together with a detailed procedure of translation and back translation, which were not necessary for the short version because the items are the same, only less (Gaspar et al., 2010a). Regarding the long 53 item version the individual factors related with feelings and emotions and family context were the variables that influenced more Gaspar, Matos, Batista-Foguet, Ribeiro and Leal (2010). Fur-thermore, could be found gender, age and socioeconomic differences. Boys tended to present a higher HRQoL in almost all dimensions, except in relation with school environment where girls revealed higher HRQoL. Children present a higher HRQoL in almost all dimensions, except related with financial resources and provocation, where adolescents showed higher HRQoL. Children and adolescents with lower socio-economic status (SES) presented lower HRQoL than students with higher SES (Gaspar et al., 2010b). Parents and their children have different perception of children and adolescents HRQoL. Parents are more optimistic than their children in relation to areas such us, emotions, self-esteem, autonomy and family context. Children and more positive in relation to financial resources and peer group than parents reported (Gaspar et al., 2010). There is a version available in Portuguese from Brazil (see Brazilian team member at www.kidscren.org )
The main objective of this paper was to get valid evidences to support general inferences on quality-of-life measures obtained by the Portuguese version of KIDSCREEN-10 for Portuguese children and adolescents, in the context of a survey research carried on in Portugal, and to provide psychometric guidelines for this age population.
Sampling methods were derived from the international study "Health Behaviour School Aged-Children" (HBSC/ WHO). The HBSC/WHO study's sample (Matos et al., 2006) was enlarged, and two extra random classes (5th grade and 7th grade) were selected in each of the national randomly selected schools where 6th, 8th and 10th grade were targeted for the purpose of HBSC study.
Schools were stratified by National Educational Regions (5 in the whole country), following HBSC/WHO (for further details about sampling procedures, see Currie et al., 2001; Matos et al., 2003; Matos et al., 2006, or www.hbsc.org). The present study is thus a cross sectional national study, representative of Portuguese public schools (not including Portuguese islands), and provides a random national representative sample of pupils attending 5th, 6th, 7th, 8th and 10th grade, extracted randomly from the national list of schools provided by the Ministry of Education.
KIDSCREEN questionnaires were applied in a classroom setting. Questionnaires were anonymous and answered in a voluntarily bases. The research project was submitted and approved by several national organizations (Ministry of Education, National Data Protection Commission, and Ethics Commission) and the parents' informed consent was requested.
The study involved 135 schools and 301 classes. A sample of 8072 children and adolescents, both genders, that attended the 5th grade (19%), 6th grade (19.2%), 7th grade (20.3%), 8th (21.6%) and 10th grade (19.7%) was inquired, the students had a mean age of 13.2 years old; SD 2.06 (10 to less than 12 years old 29.2%; 12 to less than13 years old 36.8%; 14 years old or older 34.1%). Parents were included in the main study (Matos & Gaspar, 2006) but parents' data was not included in this paper.
For the development of the KIDSCREEN-10 Index, items were derived from longer version, in a previous work that encompassed both theoretical and statistics aspects described elsewhere (Ravens-Sieberer et al., 2001). The good internal consistency (Cronback's alpha = .82) and the good test-retest reability/stability (r=.73; ICC = .72) enable a precise and stable HRQoL measurement. The KIDSCREEN-10 is able to differentiate groups; low scores can be read as feeling unhappy, unfit and dissatisfied regarding the family life, peers and school life, high scores indicate the opposite, feeling happy, fit and satisfied with family, school and peers group. The instrument result in one global score, that one-dimensional measure represents a global score adequate for use in large (epidemiological) surveys (The KIDSCREEN Group Europe, 2006; Ravens-Sieberer et al., 2001).According to international guidelines, the translation of the KIDSCREEN draft questionnaire included a forward-backward-forward translation procedure with harmonisation processes, which were done during the KIDSCREEN 52 validation (Gaspar et al., 2010a; Matos & Gaspar, 2006)
A confirmatory factor analysis (CFA) was run with 8072 participants to confirm the 10 items factor structure of KIDSCREEN-10. Factorial invariance across, age group (younger/older), nationality (Portuguese/non Portuguese) and socioeconomic status (SES) (low/medium/high) was analyzed. In addition to chi-square, alternative fit indexes such as the comparative fit index (CFI), non-normed fit index (NNFI), root mean square error of approximation (RMSEA), standardized root mean squared residual (SRMR) are also presented. The procedures used to determine factorial invariance included: (a) verification of configural invariance, in which the equivalence of the specified structure of factor loading is tested for each paired-groups (unconstrained model); (b) verification of metric invariance, in which the model is also tested in combination for each paired-group, but free or estimated factor loadings are restricted to test the equivalence of the two samples constrained model (in the present study, only the factorial invariance of the factor loadings is tested. Nevertheless, it is possible to test the invariance of other free or estimated parameters, such as correlation between factors, variances or covariances between error measurements, and residuals disturbances; Byrne, 1994). Simulation studies show that the difference in CFI between the model with and without restrictions is among the most adequate measures to assume factorial invariance (Cheung & Rensvold, 2000). Therefore, a difference equal or lower than .01 in CFI represents a good indicator of factorial invariance.
KIDSCREEN-10 instrument analysis regarding the psychometric properties showed a good internal consistency (Alpha Cronbach's = .78). This value does not become higher if one of the 10 items is deleted. The purpose of this paper was to determine the factorial structure of the Portuguese version of KIDSCREEN-10 items in children and adolescents, and to verify factorial invariance across diverse sample groups.
Confirmatory Factor Analysis
A confirmatory factor analysis (CFA) was conducted on 8072 participants. The goodness-of-fit estimates reported correspond to the robust solution (except for SRMR). In addition, the Satorra-Bentler Chi-square (Hu & Bentler, 1999) and fit indexes that control non-normality results were used. The fit indices held in the analysis for the model were indicative of an ill-fitting model (Satorra-Bentler χ2=3057.54 (35), P<.001; CFI=.758; NNFI=.688; RMSEA=.107; SRMR=.071), Good models have an CFI and NNFI of .95 or more and an RMSEA and SRMR of .05 or less (Bentler, 1995; Hu & Bentler, 1999). Nevertheless, LM test showed that if some parameters, in this case error covariances, were freely estimated the χ2 would drop significantly. These parameters were the error covariances between the following items (that reported to the "passed week"): "Did you did well at school? / Were you able to pay attention during classes?"; "Have you felt sad? / Have you felt lonely?"; "Have you felt fit and well? / Have you felt full of energy?" Since the content of the items is associated and the result of the first analysis shows a large drop in χ2 value, these parameters were free up in the model one by one. The results of these specifications in the model are shown in Table 1.
As it is possible to see, the χ2 value had a large drop in each of the steps related to the introduction of error covariances in the model (free estimation). In the last step the χ2 value [Satorra-Bentler χ2=408.44 (32), P<.001], although significant, which is often observed with large sample sizes (Cheung & Rensvold, 2002; Schumacker & Lomax, 1996), is much lower than in first analysis. Also the CFI and the other fit indexes had shown an important improve for each step and especially in the final step (CFI=.970; NNFI=.958; RMSEA=.039; SRMR=.028).
The Wald tests confirmed that all parameters included in the initial model are significant and, therefore, were maintained. Figure 1 presents the factor loadings of the final model.
To determine the factorial invariance of the 10-item KIDSCREEN, comparisons across groups were conducted. The variables in study were: (a) age group (Younger group: Mean age=11.30; SD=.82; Min =10.00; Max =12.99 and / Older group: Mean age=14.71; SD=1.39; Min=13.00; Max=19.92) younger (n = 3646) vs. older (n = 4426); (b) nationality Portuguese (n = 7416) vs. non Portuguese (n = 540); (c) socioeconomic status low (n = 3916) vs. medium/high (n = 1917).
Results for factorial invariance are summarized in Table 2, where adjustment indexes for both unconstrained and constrained models are shown.
The factorial structure of the questionnaire was con-difference between unconstrained and constrained models firmed for the unconstrained models since it presents is smaller than .01 in all paired groups. Table 3 represents adequate fit indexes (CFI and RMSEA) in each of the factor loadings and explained variances of each item for paired groups. Metric invariance is also observed as CFI all groups.
Although the first solution of the confirmatory factor analysis showed an inadequate fit of the model, the search for non fitting parameters, namely error covariances, and its introduction in model, conducted to a significant improvement of the model and to a solution where this 10-item one-factor structure is supported. The introduction of these error covariances is justified because the unique components of these indicators are sharing something which is outside and of no interest to the model. Even though Satorra-Bentler χ2 was significant, and the ratio χ2/df was much higher than the recommended value of between 2 and 3 for indication of good fit (Carmines & McIver, 1981), or 5 (Kline, 2005), these results are not surprising as it has been shown that fit indexes based on chi-square are over sensitive to sample size (Cheung & Rensvold, 2002; Schumacker & Lomax, 1996). In addition, this index is also sensitive to assumptions of violation of multivariate normality (Byrne, 2001). Chosen fit indexes indicate good fit to the data. Specifically, in the final solution, the RMSEA was lower than .03 and the upper limit of 90% confidence interval was lower than .05, and CFI was higher than .95.
Results indicate that the current 10-item structure is invariant across age groups, nationality and SES. Even though χ2 was significant while comparing unconstrained and constrained models and the χ2/df ratio is higher than the cut off value, this can be attributed to the large sample size (Schumacker & Lomax, 1996). As a consequence of the inflation of chi-square measures due to sample size, Meade, Johnson and Braddy (2006) recommended that researchers should rely more heavily on alternative fit indexes to analyze measurement invariance. The CFI for both models was very high (above .96) and changes were bellow .01 (Cheung & Rensvold, 2002) which suggests that differences between the constrained and unconstrained models are minimal.
The results suggested that the measurement construct generalizes across groups and that KIDSCREEN was measured and interpreted similarly across groups. Because the factor structure was consistent across a variety of samples, it is thought that the present version can be used confidently by researchers in analyzing and interpreting scores of KIDSCREEN across a variety of samples in Portuguese children and adolescents, and that this instrument can be used in cross-cultural research. For this purpose are included (Table 4) the means and the SD and the percentiles, for the total sample, and three age group corresponding to early adolescence (younger than 12), adolescence (12-13 years old) and late adolescence (older than 14 years old). As seen, people in the younger group fall less frequently in the category " very low QOL", and people in the older group fall less frequently in the category "high QOL". However, regarding the " very high QOL" age group is no different.
The KIDSCREEN-10 instrument has several strengths. It is based on a cross-cultural sensitive concept and available in many European countries, including Portugal. It is appropriate for use in multinational collaborative research.
The instrument is able to be used in research involving several interventions, as well for applications in many health and educational settings; that also can be applied with equal relevance in healthy populations and paediatrics populations with specific health conditions.
These results indicate that overall, the KIDSCREEN10 is a sound, cross-cultural valid assessment of HRQOL for children and adolescents, as reflected by its conceptual and methodological strengths. KIDSCREEN-10 questionnaire is a reliable instrument to estimate the perception of quality of life in children and adolescents. It is adequate for use in large (epidemiological) surveys and as a complementary scale in studies related to children and adolescents' health behaviours and health conditions.
Monitoring the health of a population is a major research activity in public health therefore measuring the healthrelated quality of life has a growing importance detecting subgroups of the population with lower HRQoL (Health Related Quality of Life) and evaluating the impact of interventions on public health in given population.
Up to 2006 (Matos & Gaspar, 2006) there was no standardized cross-cultural relevant instrument for application in paediatric populations in Portugal. The translation and validation of KIDSCREEN 52 provided clinicians and researchers with a validated Portuguese version that allowed not only establishing the state of art in Portugal, but also allowed for cross country comparisons (The KIDSCREEN Group Europe, 2006; Ravens-Sieberer et al., 2005).
Now the KIDSCREEN 10 provided not only clinicians and researchers but also general practitioners and researchers with a sound instrument to estimate HRQOL in children and adolescents. This new short version allows for policy monitoring and it is now nationally used within the HBSC /WHO national study, as a well being index (Currie et al., 2008; Ravens-Sieberer et al., 2009).
Next steps include validating both KIDSCREEN 52 and 10 for children and adolescents in paediatric settings, namely children and parents (using the parents' version already translated and validated in Portugal; Gaspar et al., 2010), focusing on families where children have a chronic health condition. Another next step is to use this index as a general monitoring system to feed policy makers (mainly in the Education and health field) with a valid index accounting for the evaluation of universal or selective interventions in schools. A final next step has to do with the extension of this work to other Portuguese speaking countries where it is intended to carry on locally, nationally appropriated versions, culturally validated, because, no matter if the language is the same, HRQOL, as a culturally embedded construct, calls for a specific cultural validation locally.
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Faculdade de Motricidade Humana
Projecto Aventura Social
Universidade Técnica de Lisboa
Estrada da Costa, Cruz Quebrada 1499
Lisboa codex, Portugal
1ª revisão: 27/06/2011
Aceite final: 13/07/2011
* The authors acknowledge the European Kidscreen Group for technical and scientific guidance and the Project Aventura Social Team for collaboration in data collection and analysis.