Validation and application of a novel method of measuring non-response bias in school-based surveys of paediatric overweight and obesity

International Journal of Pediatric Obesity

Volumn 6, Issue 2 -2, 2011, Pages

  Booth, Michael L ^a,d   Okely, Anthony D ^b   Denney Wilson, Elizabeth ^b,c  

^a UNIVERSITY OF SYDNEY   (Australia)

^b UNIVERSITY OF WOLLONGONG   (Australia)

^c UNIVERSITY OF SYDNEY   (Australia)

^d NONE

Author keywords

Adolescent; Bias (epidemiology); Child; Data collection; Epidemiologic measurements

Indexed keywords

ARTICLE; AUSTRALIA; BODY HEIGHT; BODY MASS; BODY WEIGHT; CHILD; CHILDHOOD DISEASE; CONTROLLED STUDY; FEMALE; HEALTH SURVEY; HUMAN; KINDERGARTEN; MAJOR CLINICAL STUDY; MALE; NONRESPONSE BIAS; OBESITY; PREVALENCE; PRIORITY JOURNAL; SCHOOL; VALIDATION STUDY;

ADOLESCENT; BIAS (EPIDEMIOLOGY); BODY HEIGHT; BODY MASS INDEX; BODY WEIGHT; CHILD; CHILD, PRESCHOOL; EPIDEMIOLOGIC RESEARCH DESIGN; FEMALE; HEALTH SURVEYS; HUMANS; MALE; NEW SOUTH WALES; OBESITY; OVERWEIGHT; PREVALENCE; REPRODUCIBILITY OF RESULTS; SCHOOLS;

EID: 79960008872     PISSN: 17477166     EISSN: 17477174     Source Type: Journal    
DOI: 10.3109/17477166.2010.498917     Document Type: Article

References (15)

1. Lobstein T, Baur L, Uauy R. Obesity in children and young people: a crisis in public health. Obes Rev. 2004;5(Suppl. 1): 4-104. (Pubitemid 38967209)
2. Nihiser AJ, Lee SM, Wechsler H et al. Body mass index measurement in schools. J Sch Health. 2007;77:651-71.
3. Stubbs JM, Achat HM. Individual rights over public good? The future of anthropometric monitoring of school children in the fi ght against obesity. Med J Aust. 2009;190:140-2.
4. Dillman DA. Mail and internet surveys: The tailored design method. 2nd ed. New York: John Wiley & Sons; 2000.
5. Booth ML, Denney-Wilson E, Okely AD et al. Methods of the NSW Schools Physical Activity and Nutrition Survey (SPANS 2004). J Sci Med Sport. 2005;8:284-93 . (Pubitemid 41565474)
6. Brener ND, Kann L, Kinchem SA et al. Methodology of the Youth Risk Behavior Surveillance System. Mort Morbid Week Rep. 2004;53(RR12):1-13.
7. Blumberg SJ, Foster EB, Frasier AM et al. Design and Operation of the National Survey of Children ' s Health, 2007. National Center for Health Statistics. Vital Health Stat 1. Forthcoming.
8. Boutelle K, Fulkerson JA, Neumark-Sztainer D et al. Mothers ' perceptions of their adolescents ' weight status: are they accurate? Obes Res. 2004;12:1754-7. (Pubitemid 41133023)
9. Brener ND, Eaton DK, Lowry R et al. The association between weight perception and BMI among high school students. Obes Res. 2004;12:1866-74. (Pubitemid 41133038)
10. Goldberg LR. Analyses of Digman' s child-personality data: derivation of big-fi ve factor scores from each of six samples. J Personality. 2001;69:709-44.
11. Lehn H, Derks E, Hudziak JJ et al. Attention problems and attention-defi cit/hyperactivity disorder in discordant and concordant monozygotic twins: evidence of environmental mediators. J Am Acad Child Adol Psy. 2007;46: 83-91. (Pubitemid 46036983)
12. Adnams C, Sorour P, Kalberg W et al. Language and literacy outcomes from a pilot intervention study for children with fetal alcohol spectrum disorders in South Africa. Alcohol. 2007;41:403-14. (Pubitemid 47554482)
13. Cole TJ, Bellizzi MC, Flegal KM et al. Establishing a standard defi nition for child overweight and obesity worldwide: international survey. BMJ. 2000;320:1240-3. (Pubitemid 30240471)
14. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159-74. (Pubitemid 8054849)
15. Kuczmarski RJ, Ogden CL, Grummer-Strawn LM et al. CDC growth charts: United States. Adv Data. 2000 Jun 8; (314):1-27 .