Cognitive ability is associated with suspected reporting errors on food frequency questionnaires

S. K. Pope, S. B. Kritchevsky, M. C. Morris, G. Block, F. A. Tylavsky, J. S. Lee, S. Stewart, T. Harris, S. M. Rubin, Eleanor Marie Simonsick

Research output: Contribution to journalArticle

Abstract

Objective: To examine potential for bias in reported total energy intake on a Food Frequency Questionnaire (FFQ) among older adults. Design: Longitudinal cohort study. Subjects/setting: 2,706 Community-dwelling Black and White older adults, aged 70-79 years, enrolled in the Health, Aging, and Body Composition study. Multivariate logistic regression analyses were conducted with potential errors on reported total energy intake on the Food Frequency Questionnaire (FFQ) as the outcome variable and with cognitive ability, measured by the Modified Mini Mental State Exam (3MS) as the primary independent variable. The regression model controlled for site, race, gender, age, body size, and physical activity. Separate models were fit using 3MS as a continuous variable and for multiple 3MS cutpoints. All models revealed similar findings. Results: Cognitive ability was inversely associated with potential errors in reporting total energy intake, whereby a five-point increase in 3MS scores was associated with a 14% decreased likelihood of reporting errors (Odds Ratio=0.86, 95% Confidence Interval: 0.77, 0.95). Additionally, compared to White women, White men were 2 times more likely, and Black women and Black men were 3 times more likely, to have errors in reporting total energy intake. Conclusion: This study provides evidence that for older adults, lower cognition scores are associated with increased potential errors in reporting total energy intake. Applications: Dietary reporting from older adults may be inaccurate due to cognitive deficits. A brief assessment of cognitive function may assist clinicians in dietary evaluations and recommendation and may benefit studies using FFQ data where the measure of cognitive function could be utilized to stratify data analyses and conduct sensitivity analyses. The Journal of Nutrition, Health & Aging

Original languageEnglish (US)
Pages (from-to)55-58
Number of pages4
JournalThe journal of nutrition, health & aging
Volume11
Issue number1
StatePublished - Jan 2007
Externally publishedYes

Fingerprint

Aptitude
food frequency questionnaires
Energy Intake
energy intake
Food
cognition
Cognition
Independent Living
Health
Body Size
Body Composition
cohort studies
physical activity
odds ratio
body composition
Longitudinal Studies
confidence interval
Cohort Studies
body size
Logistic Models

Keywords

  • African Americans
  • Cognition
  • Diet surveys
  • Energy intake

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Aging
  • Endocrinology
  • Food Science

Cite this

Pope, S. K., Kritchevsky, S. B., Morris, M. C., Block, G., Tylavsky, F. A., Lee, J. S., ... Simonsick, E. M. (2007). Cognitive ability is associated with suspected reporting errors on food frequency questionnaires. The journal of nutrition, health & aging, 11(1), 55-58.

Cognitive ability is associated with suspected reporting errors on food frequency questionnaires. / Pope, S. K.; Kritchevsky, S. B.; Morris, M. C.; Block, G.; Tylavsky, F. A.; Lee, J. S.; Stewart, S.; Harris, T.; Rubin, S. M.; Simonsick, Eleanor Marie.

In: The journal of nutrition, health & aging, Vol. 11, No. 1, 01.2007, p. 55-58.

Research output: Contribution to journalArticle

Pope, SK, Kritchevsky, SB, Morris, MC, Block, G, Tylavsky, FA, Lee, JS, Stewart, S, Harris, T, Rubin, SM & Simonsick, EM 2007, 'Cognitive ability is associated with suspected reporting errors on food frequency questionnaires', The journal of nutrition, health & aging, vol. 11, no. 1, pp. 55-58.
Pope SK, Kritchevsky SB, Morris MC, Block G, Tylavsky FA, Lee JS et al. Cognitive ability is associated with suspected reporting errors on food frequency questionnaires. The journal of nutrition, health & aging. 2007 Jan;11(1):55-58.
Pope, S. K. ; Kritchevsky, S. B. ; Morris, M. C. ; Block, G. ; Tylavsky, F. A. ; Lee, J. S. ; Stewart, S. ; Harris, T. ; Rubin, S. M. ; Simonsick, Eleanor Marie. / Cognitive ability is associated with suspected reporting errors on food frequency questionnaires. In: The journal of nutrition, health & aging. 2007 ; Vol. 11, No. 1. pp. 55-58.
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abstract = "Objective: To examine potential for bias in reported total energy intake on a Food Frequency Questionnaire (FFQ) among older adults. Design: Longitudinal cohort study. Subjects/setting: 2,706 Community-dwelling Black and White older adults, aged 70-79 years, enrolled in the Health, Aging, and Body Composition study. Multivariate logistic regression analyses were conducted with potential errors on reported total energy intake on the Food Frequency Questionnaire (FFQ) as the outcome variable and with cognitive ability, measured by the Modified Mini Mental State Exam (3MS) as the primary independent variable. The regression model controlled for site, race, gender, age, body size, and physical activity. Separate models were fit using 3MS as a continuous variable and for multiple 3MS cutpoints. All models revealed similar findings. Results: Cognitive ability was inversely associated with potential errors in reporting total energy intake, whereby a five-point increase in 3MS scores was associated with a 14{\%} decreased likelihood of reporting errors (Odds Ratio=0.86, 95{\%} Confidence Interval: 0.77, 0.95). Additionally, compared to White women, White men were 2 times more likely, and Black women and Black men were 3 times more likely, to have errors in reporting total energy intake. Conclusion: This study provides evidence that for older adults, lower cognition scores are associated with increased potential errors in reporting total energy intake. Applications: Dietary reporting from older adults may be inaccurate due to cognitive deficits. A brief assessment of cognitive function may assist clinicians in dietary evaluations and recommendation and may benefit studies using FFQ data where the measure of cognitive function could be utilized to stratify data analyses and conduct sensitivity analyses. The Journal of Nutrition, Health & Aging",
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