Design effects associated with dietary nutrient intakes from a clustered design of 1 to 14-year-old children

European Journal of Clinical Nutrition

Volumn 61, Issue 9, 2007, Pages 1064-1071

  Metcalf, P A ^a   Scragg, R K R ^a   Stewart, A W ^a   Scott, A J ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

ALPHA TOCOPHEROL; BETA CAROTENE; CARBOHYDRATE; CHOLESTEROL; FRUCTOSE; PROTEIN; RETINOL; SATURATED FATTY ACID; SELENIUM; VITAMIN D;

ADOLESCENT; ARTICLE; CALORIC INTAKE; CHILD; CHILD NUTRITION; CLUSTER ANALYSIS; CONTROLLED STUDY; CORRELATION COEFFICIENT; DIETARY INTAKE; FEMALE; HEALTH SURVEY; HUMAN; MALE; NEW ZEALAND; NUTRITIONAL ASSESSMENT; NUTRITIONAL STATUS; PROBABILITY SAMPLE; VITAMIN INTAKE;

ADOLESCENT; CHILD; CHILD NUTRITION PHYSIOLOGY; CHILD, PRESCHOOL; CLUSTER ANALYSIS; DIET RECORDS; DIET SURVEYS; FEMALE; FOOD HABITS; HUMANS; INFANT; MALE; MENTAL RECALL; NEW ZEALAND; NUTRITION ASSESSMENT; RANDOM ALLOCATION; SAMPLE SIZE;

EID: 34548580596     PISSN: 09543007     EISSN: 14765640     Source Type: Journal    
DOI: 10.1038/sj.ejcn.1602618     Document Type: Article

References (15)

1. Armitage P, Berry G (1994). Statistical methods in medical research 3rd ed. Blackwell Scientific Publications: Oxford.
2. Campbell MK, Grimshaw JM (1998). Cluster randomised trials: Time for improvement. The implications of adopting a cluster design are still largely being ignored. BMJ 317, 1171-1172.
3. Connelly LB (2003). Balaricing the number and size of sites: An economic approach to the optimal design of cluster samples. Control Clin Trials 24, 544-559.
4. Donner A, Brown KS, Brasher P (1990). A methodological review of non-therapeutic intervention trials employing cluster randomisation, 1979-1989. Int J Epidemiol 19, 795-800.
5. Donner A, Klahr N (2000). Design and analysis of cluster randomization trials in health research. Arnold: London.
6. Food Files (2004). Data Files of the New Zealand Food Composition Database. Palmerston North, New Zealand: New Zealand Institute of Crop & Food Research.
7. Gulliford MC, Ukoumunne OC, Chinn S (1999)., Components of variance and intraclass correlations for the design of community-based surveys and intervention studies: Data from the Health Survey for England 1994. Am J Epidemiol 149, 876-883.
8. Hampel FR (1974). The influence curve and its role in robust estimation. J Am Stat Assoc 69, 383-393.
9. Harville DA (1977). Maximum likelihood approaches to variance component estimations and to related problems. J Am Stat Assoc 72, 320-338.
10. Kerry SM, Bland JM (1998). The intracluster correlation coefficient in cluster randomisation. BMJ 316, 1455-1460.
11. Koepsell TD, Wagner EH, Cheadle AC, Patrick DL, Martin DC, Diehr PH et al. (1992). Selected methodological issues in evaluating community-based health promotion and disease prevention programs. Annu Rev Public Health 13, 31-57.
12. Metcalf PA, Scragg RK, Sharpe S, Fitzgerald ED, Schaff D, Watts C (2003). Short-term repeatability of a food frequency questionnaire in New Zealand children aged 1-14 years. Eur J Clin Nutr 57, 1498-1503.
13. Reading R, Harvey I, Mclean M (2000). Cluster randomised trials in maternal and child health: Implications for power and sample size. Arch Dis Child 82, 79-83.
14. Rice N, Leyland A (1996). Multilevel models: Applications to health data. J Health Services Res Policy 1, 154-164.
15. SAS Institute Inc (2004). SAS/STAT User's Guide Version 91. SAS Institute Inc.: Cary, NC.