Literature DB >> 15563434

Can a food frequency questionnaire be used to capture dietary intake data in a 4 week clinical intervention trial?

Pauline Xie Xinying1, Manny Noakes, Jennifer Keogh.   

Abstract

Collecting dietary data in the clinical research setting is labour intensive and can be burdensome for study participants. The aim of this study was to assess the agreement between data obtained from 2 different dietary assessment methods, a 74-item semi-quantitative food frequency questionnaire (FFQ) and 3-day weighed food records (WFR) used to estimate dietary intake over the preceding month. One hundred and fifty nine subjects, aged between 31 and 74 years (53 males, 65 females), enrolled in a clinical trial at the Commonwealth Scientific and Industrial Research Organisation, Division of Health Sciences and Nutrition, (CSIRO HSN) Adelaide, Australia. Group mean intakes and individual mean intakes estimated by the two measures were compared. One hundred and eighteen (91%) three-day WFR and their corresponding FFQ were analysed. Pearson correlation coefficients ranged from 0.22 for cholesterol to 0.78 for alcohol (median 0.41). Mean energy and nutrient intakes were within +/- 20% difference. The FFQ gave lower carbohydrate intake estimates, percentage energy from carbohydrate (P <0.001) and dietary fibre (P <0.05) and gave higher percentage energy from saturated fat estimates, poly-unsaturated fatty acids (P <0.001) and mono-unsaturated fatty acids (P <0.05). Subjects were also ranked into quintiles and the quintiles cross-tabulated. The FFQ classified more than two thirds of the subjects within +/-1 quintile difference for all nutrients. We conclude that this FFQ can capture similar information as WFR and may be used for estimation of dietary intakes over a relatively short time in clinical intervention trials.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15563434

Source DB:  PubMed          Journal:  Asia Pac J Clin Nutr        ISSN: 0964-7058            Impact factor:   1.662


  19 in total

1.  Health risk assessment of zinc, chromium, and nickel from cow meat consumption in an urban Nigerian population.

Authors:  Janefrances N Ihedioha; Chukwuma O B Okoye; Uchenna A Onyechi
Journal:  Int J Occup Environ Health       Date:  2014-07-31

2.  The Dietary Inflammatory Index Is Associated with Low Muscle Mass and Low Muscle Function in Older Australians.

Authors:  Marlene Gojanovic; Kara L Holloway-Kew; Natalie K Hyde; Mohammadreza Mohebbi; Nitin Shivappa; James R Hebert; Adrienne O'Neil; Julie A Pasco
Journal:  Nutrients       Date:  2021-04-01       Impact factor: 5.717

3.  Dairy consumption and cardiometabolic health: outcomes of a 12-month crossover trial.

Authors:  Georgina E Crichton; Peter R C Howe; Jonathan D Buckley; Alison M Coates; Karen J Murphy
Journal:  Nutr Metab (Lond)       Date:  2012-03-20       Impact factor: 4.169

4.  Validity and reproducibility of a food frequency questionnaire as a measure of recent dietary intake in young adults.

Authors:  Lana Hebden; Engracia Kostan; Fiona O'Leary; Allison Hodge; Margaret Allman-Farinelli
Journal:  PLoS One       Date:  2013-09-18       Impact factor: 3.240

5.  Sociodemographic correlates of food habits among school adolescents (12-15 year) in North Gaza Strip.

Authors:  Abdallah H Abudayya; Hein Stigum; Zumin Shi; Yehia Abed; Gerd Holmboe-Ottesen
Journal:  BMC Public Health       Date:  2009-06-15       Impact factor: 3.295

6.  Exploring the mechanisms of weight loss in the SHED-IT intervention for overweight men: a mediation analysis.

Authors:  David R Lubans; Philip J Morgan; Clare E Collins; Janet M Warren; Robin Callister
Journal:  Int J Behav Nutr Phys Act       Date:  2009-11-18       Impact factor: 6.457

7.  Effects of eating fresh lean pork on cardiometabolic health parameters.

Authors:  Karen J Murphy; Rebecca L Thomson; Alison M Coates; Jonathan D Buckley; Peter R C Howe
Journal:  Nutrients       Date:  2012-07-05       Impact factor: 5.717

8.  Feasibility of ω-3 fatty acid supplementation as an adjunct therapy for people with chronic obstructive pulmonary disease: study protocol for a randomized controlled trial.

Authors:  Ashley S Fulton; Alison M Hill; Marie T Williams; Peter R C Howe; Peter A Frith; Lisa G Wood; Manohar L Garg; Alison M Coates
Journal:  Trials       Date:  2013-04-24       Impact factor: 2.279

9.  A comparison of regular consumption of fresh lean pork, beef and chicken on body composition: a randomized cross-over trial.

Authors:  Karen J Murphy; Barbara Parker; Kathryn A Dyer; Courtney R Davis; Alison M Coates; Jonathan D Buckley; Peter R C Howe
Journal:  Nutrients       Date:  2014-02-14       Impact factor: 5.717

10.  Dairy foods and dairy protein consumption is inversely related to markers of adiposity in obese men and women.

Authors:  Karen J Murphy; Georgina E Crichton; Kathryn A Dyer; Alison M Coates; Tahna L Pettman; Catherine Milte; Alicia A Thorp; Narelle M Berry; Jonathan D Buckley; Manny Noakes; Peter R C Howe
Journal:  Nutrients       Date:  2013-11-20       Impact factor: 5.717

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.