Murray EK, Baker SS, Betts NM, Hess A, Auld G. Development of a National Dietary Behaviors Questionnaire for EFNEP Adult Participants.
JOURNAL OF NUTRITION EDUCATION AND BEHAVIOR 2020;
52:1088-1099. [PMID:
32763052 DOI:
10.1016/j.jneb.2020.06.003]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Revised: 06/03/2020] [Accepted: 06/09/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVE
Develop and establish the reliability and validity of dietary behavior evaluation questions for the Expanded Food and Nutrition Education Program (EFNEP).
DESIGN
A mixed-methods study using cognitive interviews, expert panels, test/retest reliability, and pretests/posttests.
SETTING
14 states across the US.
PARTICIPANTS
A convenience sample of low-income EFNEP or EFNEP-eligible participants for cognitive interviews (n = 111), reliability testing (n = 181), and sensitivity to change testing (n = 382).
MAIN OUTCOMES MEASURES
Indicators of face and content validity, temporal reliability, and sensitivity to change.
ANALYSIS
Questions interpreted as intended in cognitive interviews, intraclass correlation coefficient and Spearman rank-order correlation for reliability testing; paired t tests or Wilcoxon signed-rank tests for sensitivity to change; and exploratory factor analyses to identify possible scales.
RESULTS
Cognitive interviews resulted in 3 rounds of question revisions; reliability value ranges were 0.48-0.77 for intraclass correlation coefficient and 0.43-0.77 for Spearman rank-order correlation. For sensitivity to change, 9 items had evidence of change (P < 0.05) between pretests and posttests, whereas 5 items had evidence for change after removing those with little room to change. Two scales were identified: diet quality and non-cheese dairy.
CONCLUSIONS AND IMPLICATIONS
The EFNEP's new dietary behavior evaluation questions demonstrated face and content validity, moderate to strong reliability, and sensitivity to detect self-reported behavior changes among low-income, diverse populations (culturally, racially/ethnically, and level of education) across 14 states. Nutrition education programs targeting similar behaviors with English speaking clients could consider this dietary behavior questionnaire.
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