Literature DB >> 8655904

Monitoring dietary change in a low-fat diet intervention study: advantages of using 24-hour dietary recalls vs food records.

I M Buzzard1, C L Faucett, R W Jeffery, L McBane, P McGovern, J S Baxter, A C Shapiro, G L Blackburn, R T Chlebowski, R M Elashoff, E L Wynder.   

Abstract

OBJECTIVE: The purpose of the study was to evaluate two methods of dietary assessment for monitoring change in fat intake in a low-fat diet intervention study.
DESIGN: The two dietary assessment methods were a 4-day food record (4DFR) and an unannounced 24-hour dietary recall conducted by telephone interview (referred to as a telephone recall [TR]). Subjects were assigned randomly to either a low-fat diet intervention group or a control group that received no counseling about fat intake. Dietary data were collected at baseline, 6 months, and 12 months.
SUBJECTS: Two hundred ninety postmenopausal women with localized breast cancer were recruited at seven clinical centers in the United States. STATISTICAL ANALYSIS: Analysis of variance was used to test for significant differences in mean fat and energy intakes.
RESULTS: Three sources of error were identified: (a) an instrument effect, suggesting underreporting at baseline of approximately 8% in mean energy intake and 11% in mean fat intake in the TR group compared with the 4DFR group (P = .0001); (b) a repeated measures effect observed for the 4DFR, suggesting underreporting of approximately 7% for energy intake and 14% for fat intake in the control group at 6 and 12 months compared with baseline values (P < .001); and (c) an adherence effect (or compliance bias), suggesting greater compliance to the low-fat intervention diet when subjects were keeping food records than when estimates were based on the unannounced TR. Compared with the TR, the 4DFR overestimated the extent of fat reduction in the low-fat diet intervention group by 41% (P = .08) and 25% (P = .62) at 6 and 12 months, respectively. APPLICATION: Multiple days of unannounced 24-hour recalls may be preferable to multiple-day food records for monitoring dietary change in diet intervention studies.

Entities:  

Mesh:

Year:  1996        PMID: 8655904     DOI: 10.1016/S0002-8223(96)00158-7

Source DB:  PubMed          Journal:  J Am Diet Assoc        ISSN: 0002-8223


  33 in total

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4.  A diet, physical activity, and stress reduction intervention in men with rising prostate-specific antigen after treatment for prostate cancer.

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6.  A Prospective Study of Alcohol Use Patterns and Short-Term Weight Change in College Freshmen.

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7.  Association between carbohydrate intake and serum lipids.

Authors:  Yunsheng Ma; Youfu Li; David E Chiriboga; Barbara C Olendzki; James R Hebert; Wenjun Li; Katherine Leung; Andrea R Hafner; Ira S Ockene
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8.  Fruit and vegetables are similarly categorised by 8-13-year-old children.

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9.  Motivational interviewing fails to improve outcomes of a behavioral weight loss program for obese African American women: a pilot randomized trial.

Authors:  Christie A Befort; Nicole Nollen; Edward F Ellerbeck; Debra K Sullivan; Janet L Thomas; Jasjit S Ahluwalia
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10.  Accuracy of fourth-graders' dietary recalls of school breakfast and school lunch validated with observations: in-person versus telephone interviews.

Authors:  Suzanne Domel Baxter; William O Thompson; Mark S Litaker; Caroline H Guinn; Francesca H A Frye; Michelle L Baglio; Nicole M Shaffer
Journal:  J Nutr Educ Behav       Date:  2003 May-Jun       Impact factor: 3.045

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