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Feasibility and Acceptability of Dietary Intake Assessment Via 24-Hour Recall and Food Frequency Questionnaire among Women with Low Socioeconomic Status

Published:November 06, 2017DOI:https://doi.org/10.1016/j.jand.2017.08.011

      Abstract

      Background

      Comprehensive evaluation of dietary interventions depends on effective and efficient measurement to quantify behavior change. To date, little is known regarding which self-reported measure of dietary intake is most feasible and acceptable for use in evaluation of the effectiveness of diet intervention studies among underserved populations.

      Objective

      This research focused on evaluating feasibility and acceptability of two self-report measures of diet.

      Design

      Cross-sectional.

      Participants/setting

      Two interviewer-administered 24-hour recalls and a 110-item food frequency questionnaire (FFQ) were administered to both English- and Spanish-speaking participants (n=36) by native English- and Spanish-speaking research assistants. On completion of both dietary assessments, participants were interviewed regarding their preference of measure.

      Main outcome measures

      Feasibility for completion of the dietary assessment measures was determined for contacts and retention. Acceptability of the measures was determined through responses to open- and closed-ended questions.

      Results

      During the 5-month trial, 36 participants were enrolled; 29 completed both intake measures, and 26 completed both measures and the interview. Participants were mainly Hispanic/Latina (72%), with a mean age of 37.0 (±7.6) years. Feasibility targets were met for contacts (1.9, 1.6, 1.8 contact attempts to complete each diet assessment measure with a target of ≤2) and for retention with 89% and 91% completing two 24-hour recalls and the FFQ, respectively. Participants indicated both diet assessment methods were generally acceptable; both positive and negative comments were received for use of the FFQ.

      Conclusion

      Dietary assessment with the use of 24-hour recalls or an FFQ can be feasible and acceptable among women with low socioeconomic status, although care should be taken to address cultural appropriateness in the selection of the measurement method.

      Keywords

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      References

        • Krebs-Smith S.
        • Kirkpatrick S.
        • Subar A.F.
        • et al.
        The National Cancer Institute’s Dietary Assessment Primer.
        FASEB J. 2015; 29 (905-1)
        • Thompson F.E.
        • Kirkpatrick S.I.
        • Subar A.F.
        • et al.
        The National Cancer Institute’s Dietary Assessment Primer: A resource for diet research.
        J Acad Nutr Diet. 2015; 115: 1986-1995
        • Lombard M.J.
        • Steyn N.P.
        • Charlton K.E.
        • Senekal M.
        Application and interpretation of multiple statistical tests to evaluate validity of dietary intake assessment methods.
        Nutr J. 2015; 14: 1-11
        • Johnson R.K.
        Dietary intake—How do we measure what people are really eating?.
        Obesity. 2002; 10: 63S-68S
        • Thompson F.E.
        • Subar A.F.
        Dietary assessment methodology.
        Nutr Prev Treat Dis. 2015; 2: 3-39
        • Willett W.
        Nutritional Epidemiology.
        3rd ed. Oxford University Press, New York, NY2013
        • Schacter D.
        • Gilbert D.T.
        • Wegner D.M.
        Semantic and episodic memory.
        in: Psychology. 2nd ed. Worth, Inc, New York, NY2011: 240-241
      1. Dietary Assessment Primer, 24-hour Dietary Recall (24HR) At a Glance. National Institutes of Health, National Cancer Institute. https://dietassessmentprimer.cancer.gov/. Accessed April 22, 2017.

      2. Dietary Assessment Primer, Food Frequency Questionnaire at a Glance. National Institutes of Health, National Cancer Institute. https://dietassessmentprimer.cancer.gov/. Accessed April 22, 2017.

        • Thomson C.A.
        Measuring dietary change in a diet intervention trial: Comparing food frequency questionnaire and dietary recalls.
        Am J Epidemiol. 2003; 157: 754-762
        • Thomson C.A.
        • Ravia J.
        A systematic review of behavioral interventions to promote intake of fruit and vegetables.
        J Am Diet Assoc. 2011; 111: 1523-1535
        • Kristal A.R.
        • Feng Z.
        • Coates R.J.
        • Oberman A.
        • George V.
        Associations of race/ethnicity, education, and dietary intervention with the validity and reliability of a food frequency questionnaire: The Women’s Health Trial Feasibility Study in Minority Populations.
        Am J Epidemiol. 1997; 146: 856-869
        • Kraschnewski J.L.
        • Gold A.D.
        • Gizlice Z.
        • et al.
        Development and evaluation of a brief questionnaire to assess dietary fat quality in low-income overweight women in the southern United States.
        J Nutr Educ Behav. 2013; 45: 355-361
        • Quintiliani L.M.
        • DeBiasse M.A.
        • Branco J.M.
        • Bhosrekar S.G.
        • Rorie J.L.
        • Bowen D.J.
        Enhancing physical and social environments to reduce obesity among public housing residents: Rationale, trial design, and baseline data for the Healthy Families Study.
        Contemp Clin Trials. 2014; 39: 201-210
        • Block G.
        • Woods M.
        • Potosky A.
        • Clifford C.
        Validation of a self-administered diet history questionnaire using multiple diet records.
        J Clin Epidemiol. 1990; 43: 1327-1335
        • Blanton C.A.
        • Moshfegh A.J.
        • Baer D.J.
        • Kretsch M.J.
        The USDA Automated Multiple-Pass Method accurately estimates group total energy and nutrient intake.
        J Nutr. 2006; 136: 2594-2599
        • Moshfegh A.J.
        • Rhodes D.G.
        • Baer D.J.
        • et al.
        The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes.
        Am J Clin Nutr. 2008; 88: 324-332
        • Bowen D.J.
        • Kreuter M.
        • Spring B.
        • et al.
        How we design feasibility studies.
        Am J Prev Med. 2009; 36: 452-457
        • Leon A.C.
        • Davis L.L.
        • Kraemer H.C.
        The role and interpretation of pilot studies in clinical research.
        J Psychiatr Res. 2011; 45: 626-629
        • Tickle-Degnen L.
        Nuts and bolts of conducting feasibility studies.
        Am J Occup Ther. 2013; 67: 171-176
        • Lindner J.R.
        • Murphy T.H.
        • Briers G.E.
        Handling nonresponse in social science research.
        J Agric Educ. 2001; 42: 43-53
        • Gersten R.
        • Fuchs L.S.
        • Compton D.
        • et al.
        Quality indicators for group experimental and quasi-experimental research in special education.
        Except Child. 2005; 71: 149-164
        • Patton M.Q.
        Qualitative Research & Evaluation Methods: Integrating Theory and Practice.
        4th edition. SAGE Publications, Inc, Thousand Oaks, CA2015
        • Yancey A.K.
        • Ortega A.N.
        • Kumanyika S.K.
        Effective recruitment and retention of minority research participants.
        Annu Rev Public Health. 2006; 27: 1-28
        • Warner E.T.
        • Glasgow R.E.
        • Emmons K.M.
        • et al.
        Recruitment and retention of participants in a pragmatic randomized intervention trial at three community health clinics: Results and lessons learned.
        BMC Public Health. 2013; 13: 192
        • Loftin W.A.
        Recruitment and retention of rural African Americans in diabetes research: Lessons learned.
        Diabetes Educ. 2005; 31: 251-259
        • Tooze J.A.
        • Vitolins M.Z.
        • Smith S.L.
        • et al.
        High levels of low energy reporting on 24-hour recalls and three questionnaires in an elderly low-socioeconomic status population.
        J Nutr. 2007; 137: 1286-1293
        • Arab L.
        • Wesseling-Perry K.
        • Jardack P.
        • Henry J.
        • Winter A.
        Eight self-administered 24-hour dietary recalls using the Internet are feasible in African Americans and whites: The Energetics Study.
        J Am Diet Assoc. 2010; 110: 857-864
        • Jones K.K.
        • Zenk S.N.
        • McDonald A.
        • Corte C.
        Experiences of African-American women with Smartphone-based ecological momentary assessment.
        Publ Health Nurs. 2016; 33: 371-380
        • Daunt D.J.
        Ethnicity and recruitment rates in clinical research studies.
        Appl Nurs Res. 2003; 16: 189-195
        • George S.
        • Duran N.
        • Norris K.
        A systematic review of barriers and facilitators to minority research participation among African Americans, Latinos, Asian Americans, and Pacific Islanders.
        Am J Publ Health. 2014; 104: e16-e31
        • Ejiogu N.
        • Norbeck J.H.
        • Mason M.A.
        • Cromwell B.C.
        • Zonderman A.B.
        • Evans M.K.
        Recruitment and retention strategies for minority or poor clinical research participants: Lessons from the Healthy Aging in Neighborhoods of Diversity Across the Life Span Study.
        Gerontologist. 2011; 51: S33-S45

      Biography

      M. A. DeBiasse is a clinical assistant professor, Department of Health Sciences, Boston University, College of Health & Rehabilitation Sciences: Sargent College, Boston, MA.

      Biography

      P. A. Quatromoni is an associate professor and chair, Department of Health Sciences, Boston University, College of Health & Rehabilitation Sciences: Sargent College, Boston, MA.

      Biography

      D. J. Bowen is a professor, Department of Bioethics and Humanities, University of Washington School of Medicine, Seattle.

      Biography

      E. Quinn is a research manager, Data Coordinating Center, Boston University School of Public Health, Boston, MA.

      Biography

      L. M. Quintiliani is an assistant professor, Department of Medicine, Section of General Internal Medicine, Boston University School of Medicine, Boston, MA.