PedsQL TM 4.0 Generic Core Scales for adolescents in the Yoruba language: Translation and general psychometric properties

Abstract

Background:

Quality of life (QOL) is a universally accepted concept for measuring the impact of different aspects of life on general well-being. Adaptation of existing QOL instruments to local cultures has been identified as a better strategy than development of new ones.

Aims:

To translate and adapt the Paediatric Quality of Life Inventory™ Version 4.0 Generic Core Scales (PedsQL™) to the Yoruba language and culture and to test the psychometric properties of the adapted instrument among adolescents.

Methods:

Psychometric properties including internal consistency reliability, construct and factorial validity of the Yoruba version of PedsQL™ were evaluated using standard procedures.

Results:

The self report and proxy scales of the Yoruba PedsQL™ were developed with good cultural relevance and semantic/conceptual equivalence. Results from 527 adolescents revealed a Cronbach’s coefficient which exceeded 0.7 for internal consistency reliability for all scores. The healthy subjects reported higher PedsQL™ scores than those with mental health and physical problems, which confirmed construct validity. Confirmatory factor analysis revealed a good model fit for the Psychosocial Health score, but not for the other measures.

Conclusions:

The Yoruba PedsQL™ is culturally appropriate and with good internal consistency, reliability and construct validity. More work is needed regarding its factorial validity.

Keywords

Adolescents Nigeria psychometrics quality of life Yoruba

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References

Abdulmalik

J. O.

Saleh

(2012). Pathways to psychiatric care for children and adolescents at a tertiary facility in northern Nigeria. The Journal of Public Health in Africa, 3, 15–17.

Acquadro

Berzon

Dubois

Leidy

N. K.

Marquis

Revicki

Rothman

, & PRO Harmonization Group (2003). Incorporating the patient’s perspective into drug development and communication: An ad hoc task force report of the Patient-Reported Outcomes (PRO) Harmonization Group meeting at the Food and Drug Administration, February 16, 2001. Value in Health, 6, 522–531.

Amiri

Ardekani

E. M.

Jalali-Farahani

Hosseinpanah

Varni

J. W.

Ghofranipour

…Azizi

(2010). Reliability and validity of the Iranian version of the Pediatric Quality of Life Inventory™ 4.0 Generic Core Scales in adolescents. Quality of Life Research, 19, 1501–1508.

Atilola

Olayiwola

(2011). The Nigerian home video boom: Should Nigerian psychiatrists be worried? Lessons from content analysis and views of community dwellers. International Journal of Social Psychiatry, DOI: 10.1177/0020764011408544 (Published online on 3 August 2011).

Bastiaansen

Koot

H. M.

Bongers

I. L.

Varni

J. W.

Verhulst

F. C.

(2004). Measuring quality of life in children referred for psychiatric problems: Psychometric properties of the PedsQL 4.0 generic core scales. Quality of Life Research, 13, 489–495.

Beckstead

J. W.

Yang

C. Y.

Lengacher

C. A.

(2008). Assessing cross-cultural validity of scales: A methodological review and illustrative example. International Journal of Nursing Studies, 45, 110–119.

Chassany

Sagnier

Marquis

Fullerton

Aaronson

(2002). Patient reported outcomes: The example of health-related quality of life a European guideline document for the improved integration of health-related quality of life assessment in the drug regulatory process. Drug Information Journal, 36, 209–238.

Cortina

M. A.

Sodha

Fazel

Ramchandani

P. G.

(2012). Prevalence of child mental health problems in sub-Saharan Africa: A systematic review. Archives of Pediatrics & Adolescent Medicine, 166, 276–281.

Costello

E. J.

Compton

S. N.

Keeler

Angold

(2003). Relationships between poverty and psychopathology: A natural experiment. Journal of the American Medical Association, 290, 2023–2029.

10.

Daramola

Ibem

E. O.

(2010). Urban environmental problems in Nigeria: Implications for sustainable development. Journal of Sustainable Development in Africa, 12, 124–143.

11.

Earth Trends. (2003). Economic Indicators – Nigeria. Available at: http://www.earthtrends.wri.org.

12.

Friedman

R. J

Chase-Lansdale

P. L.

(2002). Chronic adversities. In Rutter

Taylor

(Eds.), Child and adolescent psychiatry. 4th ed. (pp. 261–276). Oxford, UK: Blackwell Scientific.

13.

Goodman

(1997). The strengths and difficulties questionnaire: A research note. Journal of Child Psychology and Psychiatry, 38, 581–586.

14.

Kessler

R. C.

Amminger

G. P.

Aguilar-Gaxiola

Alonso

Lee

Ustun

T. B.

(2007). Age of onset of mental disorders: A review of recent literature. Current Opinion in Psychiatry 2007, 20, 359–364.

15.

Laws of Ogun State of Nigeria (2006). Child Rights Law. Vol. 1, Ogun State Ministry of Justice. Abeokuta, Nigeria: LexisNexis Butterworths (PTY) Ltd.

16.

Limbers

C. A.

Newman

D. A.

Varni

J. W.

(2008). Factorial invariance of child self-report across healthy and chronic health condition groups: A confirmatory factor analysis utilizing the PedsQLTM 4.0 Generic Core Scales. Journal of Pediatric Psychology, 33, 630–639.

17.

Limbers

C. A.

Newman

D. A.

Varni

J. W.

(2008). Factorial invariance of child self-report across socioeconomic status groups: a multi-group confirmatory factor analysis utilizing the PedsQL 4.0 Generic Core Scales. Journal of Behavioral Medicine, 31, 401–411.

18.

Mabogunje

(2002). Re-constructing the Nigerian city: The new policy on urban development and housing. Paper presented at the National Conference on the City in Nigeria, 11 April, Ile Ife.

19.

Meuleners

L. B.

Lee

A. H.

Binns

C. W.

Lower

(2003). Quality of life for adolescents: Assessing measurement properties using structural equation modeling. Quality of Life Research, 12, 283–290.

20.

Morakinyo

Akiwowo

(1981). The Yoruba ontology of personality and motivation. A multidisciplinary study. Journal of Social Biology and Structure, 4, 19–38.

21.

Nevitt

Hancock

G. R.

(2001). Performance of bootstrapping approaches to model test statistics and parameter standard error estimation in structural equation modeling. Structure Equation Model, 8, 353–377.

22.

Nunnally

Bernstein

I. J.

(1994). Psychometric theory (3rd ed.). New York, NY: McGraw-Hill.

23.

Odejide

O. A.

Sanda

A. O.

Olatawura

M. O.

(1978). Some socio-psychiatric attributes of patients utilizing the facilities of traditional healers in the city of Ibadan. Tropical and Geographical Medicine, 30, 115–119.

24.

Ojo

(2006). A global evaluation of the teaching and learning of Yorùbá language as a second or foreign language. Selected Proceedings of the 36th Annual Conference on African Linguistics (pp. 116–120). Somerville, MA: Cascadilla Proceedings Project.

25.

Onyeama

(2004). Childhood psychiatric disorders: Problems and prospects in Enugu, Nigeria. Journal of College of Medicine, 9, 49–53

26.

Perneger

T. V.

Leplège

Etter

(1999). Cross-cultural adaptation of a psychometric instrument: Two methods compared. Journal of Clinical Epidemiology, 52, 1037–1046.

27.

Petersen

Hägglöf

Stenlund

Bergström

(2009). Psychometric properties of the Swedish PedsQL, pediatric quality of life inventory 4.0 Generic Core Scales. Acta Paediatrica, 98, 1504–1512.

28.

Reichenheim

M. E.

Moraes

C. L.

(2007). Operationalizing the cross-cultural adaptation of epidemiological measurement instruments. Revista de Saúde Pública, 41, 1–9.

29.

Reinfjell

Diseth

T. H.

Veenstra

Vikan

(2006). Measuring health-related quality of life in young adolescents: Reliability and validity in the Norwegian version of the Pediatric Quality of Life Inventory 4.0 (PedsQL™ 4.0) generic core scales. Health and Quality of Life Outcomes, 14, 61.

30.

Robertson

Omigbodun

Gaddour

(2010). Child and adolescent psychiatry in Africa: Luxury or necessity? African Journal of Psychiatry, 13, 329–331.

31.

Schmidt

Bullinger

(2003). Current issues in cross-cultural quality of life instrument development. Archives of Physical Medicine and Rehabilitation, 84, 29–34.

32.

Shaw

Tschiwula

(2002). Developing citizenship among urban youth in conflict with the law. Environment & Urbanization, 14, 59–69.

33.

Stevanović

Lakić

Damnjanovic

(2011). Some psychometric properties of the Pediatric Quality of Life Inventory^TM Version 4.0 Generic Core Scales (PedsQL^TM) in the general Serbian population. Quality of Life Research, 20, 945–949.

34.

Terwee

C. B.

Bot

S. D.

de Boer

M. R.

van der Windt

D. A.

Knol

D. L.

Dekker

…de Vet

H. C.

(2007). Quality criteria were proposed for measurement properties of health status questionnaires. Journal of Clinical Epidemiology, 60, 34–42.

35.

UNICEF (2011). Adolescence: An age of opportunity. State of world’s children, 2011. Available at: http://www.unicef.org/sowc2011/fullreport.php.

36.

Varni

J. W.

Seid

Kurtin

P. S.

(2001). PedsQL 4.0: Reliability and validity of the Pediatric Quality of Life Inventory version 4.0 Generic Core Scales in healthy and patient populations. Medical Care, 39, 800–812.

37.

Varni

J. W.

Seid

Rode

C. A.

(1999). The PedsQL: Measurement model for the Pediatric Quality of Life Inventory. Medical Care, 37, 126–139.

38.

Wachs

T. D.

(2000). Necessary but not sufficient: The respective roles of single and multiple influences on individual development. Washington, DC: American Psychological Association.