CR risk in population studies error-caused?

[Guest guest]

Hi All,

Might the below not in Medline yet pdf-not-available paper address the disparate

effects of CR as we know it with the CR indicated from population-based studies

of

energy consumption and body mass index (BMI)? Is it unreasonable that the

conundrum

is explained by those people who were “high BMI, large waist circumference,

short

education and being a blue-collar worker being significantly associated with

low-energy reporting” might be at relatively reduced risk and those who said

they

had greater calorie intake were “with low BMI, living alone and current smoking”

were at relatively inflated in their mortality risk?

Intra- and interindividual variability of resting energy expenditure in healthy

male subjects biological and methodological variability of resting energy

expenditure

British Journal of Nutrition, Volume 94, Number 5, November 2005, pp.

832-842(11)

Abstract:

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.

Al Pater, PhD; email: old542000@...

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