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Misreporting of energy: prevalence, characteristics of misreporters and influence on observed risk estimates in the Malmö Diet and Cancer cohort

Published online by Cambridge University Press:  08 March 2007

Irene Mattisson*
Affiliation:
Department of Clinical Sciences, Malmö, Lund University, Malmö University Hospital, SE-205 02, Malmö, Sweden
Elisabet Wirfält
Affiliation:
Department of Clinical Sciences, Malmö, Lund University, Malmö University Hospital, SE-205 02, Malmö, Sweden
Carin Andrén Aronsson
Affiliation:
Department of Clinical Sciences, Malmö, Lund University, Malmö University Hospital, SE-205 02, Malmö, Sweden
Peter Wallström
Affiliation:
Department of Clinical Sciences, Malmö, Lund University, Malmö University Hospital, SE-205 02, Malmö, Sweden
Emily Sonestedt
Affiliation:
Department of Clinical Sciences, Malmö, Lund University, Malmö University Hospital, SE-205 02, Malmö, Sweden
Bo Gullberg
Affiliation:
Department of Clinical Sciences, Malmö, Lund University, Malmö University Hospital, SE-205 02, Malmö, Sweden
Göran Berglund
Affiliation:
Department of Clinical Sciences, Malmö, Lund University, Malmö University Hospital, SE-205 02, Malmö, Sweden
*
*Corresponding author: Dr Irene Mattisson, Malmö Diet and Cancer Study, UMAS, entrance 59, SE-205 02 Malmö, Sweden, fax +46 40 336215, email irene.mattisson@med.lu.se
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Abstract

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The present study investigates the prevalence of misreporting of energy in the Malmö Diet and Cancer cohort, and examines anthropometric, socio-economic and lifestyle characteristics of the misreporters. Further, the influence of excluding misreporters on risk estimates of post-menopausal breast cancer was examined. Information of reported energy intake (EI) was obtained from a modified diet history method. A questionnaire provided information on lifestyle and socio-economic characteristics. Individual physical activity level (PAL) was calculated from self-reported information on physical activity at work, leisure time physical activity and household work, and from estimates of hours of sleeping, self-care and passive time. Energy misreporting was defined as having a ratio of EI to BMR outside the 95% CI limits of the calculated PAL. Logistic regression analysed the risk of being a low-energy reporter or a high-energy reporter. Almost 18% of the women and 12% of the men were classified as low-energy reporters, 2·8% of the women and 3·5% of the men were classified as high-energy reporters. In both genders high BMI, large waist circumference, short education and being a blue-collar worker were significantly associated with low-energy reporting. High-energy reporting was significantly associated with low BMI, living alone and current smoking. The results add support to the practice of energy adjustment as a means to reduce the influence of errors in risk assessment.

Type
Research Article
Copyright
Copyright © The Nutrition Society 2005

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