nach oben

Quality of Life Research

Erschienen in:

17.06.2015

Item-level informant discrepancies across obese–overweight children and their parents on the PedsQL™ 4.0 instrument: an iterative hybrid ordinal logistic regression

verfasst von: Peyman Jafari, Elahe Allahyari, Mina Salarzadeh, Zahra Bagheri

Erschienen in: Quality of Life Research | Ausgabe 1/2016

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Purpose

Child obesity has become a major health concern worldwide. In order to provide successful intervention strategies, it is necessary to understand how obese–overweight children and their parents perceive obesity and its consequences on child’s health-related quality of life (HRQoL). This study aimed to assess measurement equivalence of the PedsQL™ 4.0 across obese–overweight children and their parents.

Methods

The items in the PedsQL™ 4.0 were analysed for differential item functioning (DIF) across obese–overweight children and their parents using an iterative hybrid ordinal logistic regression/item response theory approach. The sample included 647 overweight–obese children and their parents, who completed child and parent reports of the PedsQL™ 4.0, respectively.

Results

Overall, 17 out of 23 (74 %) items were flagged with DIF across two groups: eight items exhibited uniform DIF and nine items non-uniform DIF. In addition, parents of obese children rated the child’s HRQoL significantly lower than their children in all domains of the PedsQL™ 4.0, and this finding did not change whether or not items with uniform DIF were included.

Conclusions

Although obese–overweight children and their parents interpret items of the PedsQL™ 4.0 in a conceptually different manner, removing or retaining DIF items in the subscales had no significant effects on group differences. Accordingly, it appears that observed differences in HRQoL scores across child and parent reports are a true difference and not a reflection of measurement artefact.

Vorheriger Artikel Estimating minimally important difference (MID) in PROMIS pediatric measures using the scale-judgment method

Nächster Artikel How dead is dead? Qualitative findings from participants of combined traditional and lead-time time trade-off valuations

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Hering, E., Pritsker, I., Gonchar, L., & Pillar, G. (2009). Obesity in children is associated with increased health care use. Clinical Pediatrics (Phila), 48(8), 812–818.CrossRef

Trasande, L., & Chatterjee, S. (2009). The impact of obesity on health service utilization and costs in childhood. Obesity, 17(9), 1749–1754.PubMedCrossRef

Wardle, J., Brodersen, N. H., Cole, T. J., Jarvis, M. J., & Boniface, D. R. (2006). Development of adiposity in adolescence: Five year longitudinal study of an ethnically and socioeconomically diverse sample of young people in Britain. BMJ, 332(7550), 1130–1135.PubMedPubMedCentralCrossRef

Ng, M., Fleming, T., Robinson, M., Thomson, B., Graetz, N., Margono, C., et al. (2014). Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: A systematic analysis for the Global Burden of Disease Study 2013. The Lancet, 384(9945), 766–781.CrossRef

Tsiros, M. D., Olds, T., Buckley, J. D., Grimshaw, P., Brennan, L., Walkley, J., et al. (2009). Health-related quality of life in obese children and adolescents. International Journal of Obesity (London), 33(4), 387–400.CrossRef

Rendon-Macias, M. E., Rosas-Vargas, H., Villasis-Keever, M. A., & Perez-Garcia, C. (2014). Children’s perception on obesity and quality of life: A Mexican survey. BMC Pediatrics, 14(1), 131.PubMedPubMedCentralCrossRef

Binkin, N., Spinelli, A., Baglio, G., & Lamberti, A. (2013). What is common becomes normal: The effect of obesity prevalence on maternal perception. Nutrition, Metabolism and Cardiovascular Diseases, 23(5), 410–416.PubMedCrossRef

Chen, S., Binns, C. W., Maycock, B., Zhao, Y., & Liu, Y. (2014). Chinese mothers’ perceptions of their child’s weight and obesity status. Asia Pacific Journal of Clinical Nutrition, 23(3), 452–458.PubMed

Musaad, S. M., Paige, K. N., Teran-Garcia, M., Donovan, S. M., Fiese, B. H., & The Strong Kids Research Team. (2013). Childhood overweight/obesity and pediatric asthma: The role of parental perception of child weight status. Nutrients, 5(9), 3713–3729.PubMedPubMedCentralCrossRef

10.

Spargo, M., & Mellis, C. (2014). Childhood obesity and parental perceptions in a rural Australian population: A pilot study. Journal of Paediatrics and Child Health, 50(2), 131–134.PubMedCrossRef

11.

Kuhl, E. S., Rausch, J. R., Varni, J. W., & Stark, L. J. (2012). Impaired health-related quality of life in preschoolers with obesity. Journal of Pediatric Psychology, 37(10), 1148–1156.PubMedPubMedCentralCrossRef

12.

Upton, P., Lawford, J., & Eiser, C. (2008). Parent–child agreement across child health-related quality of life instruments: A review of the literature. Quality of Life Research, 17(6), 895–913.PubMedCrossRef

13.

Eiser, C., & Morse, R. (2001). Can parents rate their child’s health-related quality of life? Results of a systematic review. Quality of Life Research, 10(4), 347–357.PubMedCrossRef

14.

Varni, J. W., Limbers, C. A., & Burwinkle, T. M. (2007). Parent proxy-report of their children’s health-related quality of life: An analysis of 13,878 parents’ reliability and validity across age subgroups using the PedsQL 4.0 Generic Core Scales. Health and Quality of Life Outcomes, 5, 2.PubMedPubMedCentralCrossRef

15.

Teresi, J. A., & Fleishman, J. A. (2007). Differential item functioning and health assessment. Quality of Life Research, 16(Suppl 1), 33–42.PubMedCrossRef

16.

King-Kallimanis, B. L., ter Hoeven, C. L., de Haes, H. C., Smets, E. M., Koning, C. C., & Oort, F. J. (2012). Assessing measurement invariance of a health-related quality-of-life questionnaire in radiotherapy patients. Quality of Life Research, 21(10), 1745–1753.PubMedPubMedCentralCrossRef

17.

Bianchini, J. A., da Silva, D. F., Nardo, C. C., Carolino, I. D., Hernandes, F., & Nardo, N, Jr. (2013). Parent-proxy perception of overweight adolescents’ health-related quality of life is different according to adolescent gender and age and parent gender. European Journal of Pediatrics, 172(10), 1371–1377.PubMedCrossRef

18.

Herranz Barbero, A., Lopez de Mesa, R., & Azcona San Julian, C. (2013). Parent and child perception about the health related quality of life by weight status at Navarra, Spain. Arch Argent Pediatr, 111(6), 508–515.PubMed

19.

Jalali-Farahani, S., Chin, Y. S., Amiri, P., & Mohd Taib, M. N. (2014). Body mass index (BMI)-for-age and health-related quality of life (HRQOL) among high school students in Tehran. Child: Care, Health and Development, 40(5), 731–739.

20.

Ahuja, B., Klassen, A. F., Satz, R., Malhotra, N., Tsangaris, E., Ventresca, M., et al. (2014). A review of patient-reported outcomes for children and adolescents with obesity. Quality of Life Research, 23(3), 759–770.PubMedCrossRef

21.

Jafari, P., Bagheri, Z., Ayatollahi, S. M., & Soltani, Z. (2012). Using Rasch rating scale model to reassess the psychometric properties of the Persian version of the PedsQL 4.0 Generic Core Scales in school children. Health and Quality of Life Outcomes, 10, 27.PubMedPubMedCentralCrossRef

22.

Mirmohammadi, S. J., Hafezi, R., Mehrparvar, A. H., Rezaeian, B., & Akbari, H. (2011). Prevalence of overweight and obesity among Iranian school children in different ethnicities. Iranian Journal of Pediatrics, 21(4), 514–520.PubMedPubMedCentral

23.

Kelishadi, R., Haghdoost, A. A., Sadeghirad, B., & Khajehkazemi, R. (2014). Trend in the prevalence of obesity and overweight among Iranian children and adolescents: A systematic review and meta-analysis. Nutrition, 30(4), 393–400.PubMedCrossRef

24.

Choi, S. W., Gibbons, L. E., & Crane, P. K. (2011). Lordif: An R package for detecting differential item functioning using iterative hybrid ordinal logistic regression/item response theory and Monte Carlo simulations. Journal of Statistical Software, 39(8), 1–30.PubMedPubMedCentralCrossRef

25.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). New York: Lawrence Erlbaum Associates.

26.

Hughes, A. R., Farewell, K., Harris, D., & Reilly, J. J. (2007). Quality of life in a clinical sample of obese children. International Journal of Obesity, 31(1), 39–44.PubMedCrossRef

27.

Ingerski, L. M., Janicke, D. M., & Silverstein, J. H. (2007). Brief report: Quality of life in overweight youth-the role of multiple informants and perceived social support. Journal of Pediatric Psychology, 32(7), 869–874.PubMedCrossRef

28.

Williams, J., Wake, M., Hesketh, K., Maher, E., & Waters, E. (2005). Health-related quality of life of overweight and obese children. JAMA, 293(1), 70–76.PubMedCrossRef

29.

Pinhas-Hamiel, O., Singer, S., Pilpel, N., Fradkin, A., Modan, D., & Reichman, B. (2006). Health-related quality of life among children and adolescents: Associations with obesity. International Journal of Obesity (London), 30(2), 267–272.CrossRef

30.

Riazi, A., Shakoor, S., Dundas, I., Eiser, C., & McKenzie, S. A. (2010). Health-related quality of life in a clinical sample of obese children and adolescents. Health and Quality of Life Outcomes, 8, 134.PubMedPubMedCentralCrossRef

31.

Schwimmer, J. B., Burwinkle, T. M., & Varni, J. W. (2003). Health-related quality of life of severely obese children and adolescents. JAMA, 289(14), 1813–1819.PubMedCrossRef

32.

Stevanovic, D., & Jafari, P. (2015). A cross-cultural study to assess measurement invariance of the KIDSCREEN-27 questionnaire across Serbian and Iranian children and adolescents. Quality of Life Research, 24(1), 223–230.PubMedCrossRef

33.

Huang, I. C., Shenkman, E. A., Leite, W., Knapp, C. A., Thompson, L. A., & Revicki, D. A. (2009). Agreement was not found in adolescents’ quality of life rated by parents and adolescents. Journal of Clinical Epidemiology, 62(3), 337–346.PubMedCrossRef

34.

Jafari, P., Bagheri, Z., Hashemi, S. Z., & Shalileh, K. (2013). Assessing whether parents and children perceive the meaning of the items in the PedsQL™ 4.0 quality of life instrument consistently: A differential item functioning analysis. Global Journal of Health Science, 5(5), 80–88.PubMedCrossRef

35.

Lin, C. Y., Luh, W. M., Cheng, C. P., Yang, A. L., Su, C. T., & Ma, H. I. (2013). Measurement equivalence across child self-reports and parent-proxy reports in the Chinese version of the pediatric quality of life inventory version 4.0. Child Psychiatry and Human Development, 44(5), 583–590.PubMedCrossRef

36.

Bagheri, Z., Jafari, P., Tashakor, E., Kouhpayeh, A., & Riazi, H. (2014). Assessing whether measurement invariance of the KIDSCREEN-27 across child–parent dyad depends on the child gender: A multiple group confirmatory factor analysis. Global Journal of Health Science, 6(5), 142–153.PubMedCrossRef

37.

Su, C. T., Wang, J. D., & Lin, C. Y. (2013). Child-rated versus parent-rated quality of life of community-based obese children across gender and grade. Health and Quality of Life Outcomes, 11, 206.PubMedPubMedCentralCrossRef

38.

Doostfatemeh, M., Ayatollahi, S. M., & Jafari, P. (2015). Testing parent dyad interchangeability in the parent proxy-report of PedsQL 4.0: A differential item functioning analysis. Quality of Life Research. doi:10.1007/s11136-015-0931-9.

39.

Kopf, J., Zeileis, A., & Strobl, C. (2015). A framework for anchor methods and an iterative forward approach for DIF detection. Applied Psychological Measurement, 39(2), 83–103.CrossRef

40.

Woods, C. M. (2009). Empirical selection of anchors for tests of differential item functioning. Applied Psychological Measurement, 33(1), 42–57.CrossRef

41.

Petersen, M. A., Groenvold, M., Bjorner, J. B., Aaronson, N., Conroy, T., Cull, A., et al. (2003). Use of differential item functioning analysis to assess the equivalence of translations of a questionnaire. Quality of Life Research, 12(4), 373–385.PubMedCrossRef

42.

Jafari, P., Sharafi, Z., Bagheri, Z., & Shalileh, S. (2014). Measurement equivalence of the KINDL questionnaire across child self-reports and parent proxy-reports: A comparison between item response theory and ordinal logistic regression. Child Psychiatry and Human Development, 45(3), 369–376.PubMedCrossRef

Titel: Item-level informant discrepancies across obese–overweight children and their parents on the PedsQL™ 4.0 instrument: an iterative hybrid ordinal logistic regression
verfasst von: Peyman Jafari
Elahe Allahyari
Mina Salarzadeh
Zahra Bagheri
Publikationsdatum: 17.06.2015
Verlag: Springer International Publishing
Erschienen in: Quality of Life Research / Ausgabe 1/2016
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-015-1046-z

Springer Professional

Abstract

Purpose

Methods

Results

Conclusions

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 1/2016

Cultural adaptation and validation of the Chinese version of the Fatigue Severity Scale in patients with major depressive disorder and nondepressive people

Relevance of community structures and neighbourhood characteristics for participation of older adults: a qualitative study

The joint subclinical elevation of CRP and IL-6 is associated with lower health-related quality of life in comparison with no elevation or elevation of only one of the biomarkers

Reliability and validity of the Cancer Therapy Satisfaction Questionnaire in lung cancer

Relationships among symptom severity, coping styles, and quality of life in community-dwelling women with urinary incontinence: a multiple mediator model

Development and validation of a carers quality-of-life questionnaire for parkinsonism (PQoL Carers)

Premium Partner