Measuring Health-Related Quality of Life in Adolescents by Subgroups of Students and Outpatient Mental Health Clients

Rodrigues, Silvia Maués Santos; Pedroso, Janari da Silva; Pontes, Fernando Augusto Ramos; Käppler, Christoph O.

doi:10.4236/psych.2015.67082

Cited by 4 publications

(5 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…ANOVA multiple comparisons performed with the post hoc Hochberg test revealed that adolescents from clinical group (CG) had mean ages significantly lower than PG (mean difference = −0.908, p < 0.001) and that of PrG (mean difference = −1.036, p < 0.001). There was no difference between the ages for groups of students (PG and PrG) (Rodrigues et al, 2015).…”

Section: Participantsmentioning

confidence: 81%

“…The public health system-called the Unified Health System (SUS, acronym in Portuguese) in Brazil, is based on the principles of regionalization and hierarchy of services and, with regard to attention the mental health of children and adolescents, it is directed for specialized services called Psychosocial Care Centers of Children and Youth (CAPSi, acronym in Portuguese). Those services are still insufficient to meet the demands of the target population (Rodrigues, Pedroso, Pontes, & Käppler, 2015) thus it is necessary to investigate the customer base that frequents these services nowadays.…”

Section: Other's Concept and Identificationmentioning

confidence: 99%

“…The data were integrated into a national database for analyzes. The sample was selected in a multistage sampling from three groups (clusters): a clinical group (CG), a group of public schools students (PG) and a group of private schools students (PrG) (Amparo et al, 2010;Morais, Amparo, Fukuda, & Brasil, 2012;Rodrigues et al, 2015). In order to form clinical group (CG) public and private outpatient services were identified in the four targeted cities of the research (preferably, Psychosocial Care Centers for Children and Youth).…”

Section: Participantsmentioning

confidence: 99%

See 2 more Smart Citations

Patterns of Family Identifications in Adolescents from Different Backgrounds

Rodrigues¹,

Pedroso²,

Pontes³

et al. 2015

PSYCH

Self Cite

View full text Add to dashboard Cite

This exploratory study aims to examine the family identification patterns obtained with the Family Identification Test (FIT) in 1082 adolescents, by subgroups from different backgrounds including subgroup of outpatient treatment for mental disorders (clinical group, CG), and subgroups of students from regions with low and high human development index: public school group (PG), and private school group (PrG), in order to explore discriminant properties of the instrument and its utility to monitor mental health outcomes in adolescents. The FIT allows one to describe different self-concepts (self-congruence, actual and ideal self-image), and the perception of others (father's image, mother's image, etc.) by using twelve attributes related to three common personality dimensions (extraversion, neuroticism and agreeableness). The correlation between those concepts indicates the patterns of identification. Statistical analyzes were performed to test the hypothesis that there would be one or more differences of means between the groups and the results of the FIT. A statistically significant effect was obtained with MANOVA followed by a series of ANOVAs that indicated differences in family identification patterns. The adolescents from PrG showed higher means than adolescents from PG in auto-congruence, actual and ideal identification with the father and ideal identification with grandparent variables; and also showed differences with the CG in actual and ideal identification with the father. The results differentiated adolescents from different backgrounds. Adolescents from clinical and public schools groups reported a smaller desire to look like their fathers, which might have some clinical significance like lower cohesion or family attachment or more pronounced feelings of rejection with father figure. Future studies are needed to analyze these findings over time and in representative population samples.

show abstract

Section: Participantsmentioning

confidence: 81%

Section: Other's Concept and Identificationmentioning

confidence: 99%

Section: Participantsmentioning

confidence: 99%

See 1 more Smart Citation

Patterns of Family Identifications in Adolescents from Different Backgrounds

Rodrigues¹,

Pedroso²,

Pontes³

et al. 2015

PSYCH

Self Cite

View full text Add to dashboard Cite

show abstract

“…16 Another study compared generic measures of QOL among different subgroups of adolescents from different contexts, subgroups of outpatient treatment for mental disorders and subgroups of students with low and high human development. 17…”

Section: Construct Validity and Known-groups Validitymentioning

confidence: 99%

The Grammar of Science: Do you get what you measured?

Kaewkungwal

2023

OSIR

View full text Add to dashboard Cite

show abstract

“…Children's QoL has been defined as the subjective perception of well-being and happiness (Davis, Waters, Shelly, & Gold, 2008). A multifaceted concept, QoL has extensive outcome measures (Rodrigues, Pedroso, & Pontes, 2015).…”

mentioning

confidence: 99%

Development and validation of a Quality of Life Scale for elementary school students

Huang

Wang

Tang

et al. 2017

International Journal of Clinical and Health Psychology

View full text Add to dashboard Cite

Background/ObjectiveEmotional well-being affects the school performance of elementary school children. Quality of life (QoL) measurements are indicative of emotional well-being; however, the development of assessment tools suitable for measuring the QoL of elementary school children has received little attention and, therefore, the creation of reliable assessment tools for measuring QoL among this population is required. Method: We employed qualitative and quantitative research methods to develop and validate a QoL scale for elementary school children in Taiwan. We used cluster random sampling to recruit 711 fifth and sixth grade students, aged 10–12 years, from 14 elementary schools. Results: The scale comprised six factors (School function, Family function, Environmental life, Vitality for life, Learning ability, and Peer relationships) that explained 44% of the variance. The developed 21-item elementary school QoL (ESQoL) instrument had high internal consistency and satisfactory reliability and validity. Conclusions: The ESQoL instrument can facilitate the evaluation of factors associated with students’ emotional well-being. Additional studies using the ESQoL instrument are required to assess its applicability for evaluating relationships between QoL and school performance and other areas of student life.

show abstract

Measuring Health-Related Quality of Life in Adolescents by Subgroups of Students and Outpatient Mental Health Clients

Cited by 4 publications

References 34 publications

Patterns of Family Identifications in Adolescents from Different Backgrounds

Patterns of Family Identifications in Adolescents from Different Backgrounds

The Grammar of Science: Do you get what you measured?

Development and validation of a Quality of Life Scale for elementary school students

Contact Info

Product

Resources

About