Pregled bibliografske jedinice broj: 651682
Relationships Between Psychopathology and Quality of Life Among Adolescents a Structural Equation Modeling Approach
Relationships Between Psychopathology and Quality of Life Among Adolescents a Structural Equation Modeling Approach // ECNP 2013, European Neuropharamacology P.7.f.001 2013
Barcelona, Španjolska, 2013. (poster, međunarodna recenzija, sažetak, ostalo)
CROSBI ID: 651682 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Relationships Between Psychopathology and Quality of Life Among Adolescents a Structural Equation Modeling Approach
Autori
Stevanović, D ; Atilola, O ; Singh Balhara, YP ; Avicenna, M ; Kandemir, H ; Vostanis, P ; Knez, R ; Franić, T ; Petrov, P ; Vlaskalić, Z.
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, ostalo
Izvornik
ECNP 2013, European Neuropharamacology P.7.f.001 2013
/ - , 2013
Skup
ECNP 2013
Mjesto i datum
Barcelona, Španjolska, 05.10.2013. - 09.10.2013
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
quality of life; adolescents; psychopathology
Sažetak
Purpose: One of the main characteristics of measuring quality of life (QOL) in psychopharmacology is in providing data about the impacts of specific treatments on different aspects of well-being and functioning [1]. Therefore, QOL and other similar patientreported outcome (PRO) measures are recognized by regulatory bodies as important outcome measures in clinical trials, drugs registration, and marketing processes as an important target for intervention. Nevertheless, the aspects of psychopathology and QOL are highly inter-correlated and no clear demarcations were made the concepts [2]. As a useful method for studying complex relationships between various constructs, structural equation modeling (SEM) has not received much attention to study psychopathology and QOL together. This study evaluated the relationships between aspects of QOL and mental health using a SEM approach among adolescents in an international sample. >Methods: In this study, adolescents from an international project participated [2]. Adolescents aged 14−18 years from Serbia, India, Indonesia, Nigeria, Bulgaria, Croatia, and Turkey completed the Pediatric Quality of Life Inventory (PedsQL) for QOL assessments and Strengths and Difficulties Questionnaire (SDQ) for mental health difficulties. Assuming that the aspects of psychopathology and QOL could be highly inter- correlated due to similarities in items, the PedsQL items with similar meaning to the SDQ items measuring psychopathology were omitted. A SEM model was tested for this purpose: one latent QOL variable represented by three indicators − scales derived from the PedsQL (Physical functioning, Social functioning, and School functioning) and two correlated predictors − mental difficulties (derived from the SDQ scores indicating significant psychopathology) and chronic condition/illness (the presence/absence of a chronic health problem). The following statistics was used to assess the adequacy of the model: Tucker Lewis Index − TLI (>0.95 excellent), the Comparative Fit Index − CFI (>0.95 excellent), and Root Mean Square Error of Approximation − RMSEA (<0.05 excellent). Results: In overall, data from 2367 adolescents [1184 males and 1183 females, mean age 15.64 (1.28) years] were available for this study. Of these, 212 (9%) adolescents showed significant psychopathology as indicated by the SDQ. For the SEM model specified above, the fit statistics indicated excellent model fit, with TLI = 0.974, CFI = 0.990, RMSEA= 0.038. In the model, mental health difficulties and chronic condition were significant predictors of QOL, b = −0.28 (p<0.05) and b = −0.05 (p<0.05), respectively. Conclusions: Mental health significantly influence levels of QOL and it should to be considered routinely in QOL assessments among adolescents. Although preliminary, this data indicate that interventions targeting QOL might indirectly influence mental health, but not only vice versa. The effects of different mental difficulties such as internalizing and externalizing problems and QOL, as well as models’ invariance considering age, gender, and socioeconomic status, shall be evaluated.
Izvorni jezik
Engleski
Znanstvena područja
Kliničke medicinske znanosti
POVEZANOST RADA
Ustanove:
Medicinski fakultet, Rijeka
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE