Literature DB >> 18156427

Performance of a short percentage energy from fat tool in measuring change in dietary intervention studies.

Geoffrey C Williams1, Thomas G Hurley, Frances E Thompson, Douglas Midthune, Amy L Yaroch, Ken Resnicow, Deborah J Toobert, Geoffrey W Greene, Karen Peterson, Linda Nebeling, Heather Patrick, James W Hardin, James R Hebert.   

Abstract

Measurement of percentage energy from fat is important in surveillance of populations and in epidemiologic studies examining relationships between diet and disease as well as for behavioral intervention studies seeking to change dietary behavior. The NCI percentage energy from fat screener (PFat) has adequately predicted percentage of energy from fat compared with 24-h recalls (24HR) in cross-sectional analyses. However, the instrument has not been evaluated for its ability to assess change of percentage energy from fat over time or in response to interventions to change dietary intake of fat. The objective of this analysis is to evaluate the performance of the PFat in assessing change in percentage energy intake from fat in a behavioral intervention setting. Four individual sites participating in the Behavior Change Consortium Nutrition Working Group administered both the PF at and multiple 24HR at baseline and follow-up to 278 participants. A measurement error model was used to assess agreement between the PFat and 24HR at baseline and follow-up. The PFat was consistent with 24HR in finding there was no significant change in percentage energy from fat as a result of the intervention. Both male and female participants in the intervention group demonstrated a significant increase in the correlation between PFat and 24HR from baseline to follow-up. Percentage energy from fat measured by PFat may be useful to provide estimates of change in mean intake of populations over time in longitudinal studies. Further methodologic research is called for in interventions producing significant changes and in diverse populations with adequate sample size.

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Year:  2008        PMID: 18156427     DOI: 10.1093/jn/138.1.212S

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  10 in total

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2.  Self-efficacy, problem solving, and social-environmental support are associated with diabetes self-management behaviors.

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Journal:  J Occup Environ Med       Date:  2016-11       Impact factor: 2.162

4.  Racial Differences in Obesity-Related Risk Factors Between 2-Year-Old Children Born of Overweight Mothers.

Authors:  Bernard F Fuemmeler; Marissa Stroo; Chien-Ti Lee; Sharnail Bazemore; Brooke Blocker; Truls Østbye
Journal:  J Pediatr Psychol       Date:  2015-03-21

5.  Dash of faith: a faith-based participatory research pilot study.

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6.  The development of a tracking tool to improve health behaviors in African American adults.

Authors:  Melissa McDole; Penny A Ralston; Catherine Coccia; Iris Young-Clark
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Journal:  Clin Cardiol       Date:  2017-11-23       Impact factor: 2.882

8.  Sex Differences in Lifestyle Behaviors among U.S. College Freshmen.

Authors:  Melissa D Olfert; Makenzie L Barr; Camille C Charlier; Geoffrey W Greene; Wenjun Zhou; Sarah E Colby
Journal:  Int J Environ Res Public Health       Date:  2019-02-07       Impact factor: 3.390

9.  HPV prevalence at enrollment and baseline results from the Carolina Women's Care Study, a longitudinal study of HPV persistence in women of college age.

Authors:  Carolyn E Banister; Amy R Messersmith; Hrishikesh Chakraborty; Yinding Wang; Lisa B Spiryda; Saundra H Glover; Lucia Pirisi; Kim E Creek
Journal:  Int J Womens Health       Date:  2013-07-02

10.  Increasing Dietary Fiber Intake Is Associated with a Distinct Esophageal Microbiome.

Authors:  Yael R Nobel; Erik J Snider; Griselda Compres; Daniel E Freedberg; Hossein Khiabanian; Charles J Lightdale; Nora C Toussaint; Julian A Abrams
Journal:  Clin Transl Gastroenterol       Date:  2018-10-25       Impact factor: 4.488

  10 in total

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