P167 Feasibility of ASA-24 in Community-Based Settings


      While many valid dietary assessment methods are available for nutrition research, feasibility is a concern in community-based settings. ASA-24 is a self-guided option for collecting 24-hour dietary recalls, but its use in community-based settings is limited.


      To determine the feasibility of utilizing ASA-24 for collecting 24-hour dietary recalls in community-based settings.

      Study Design, Setting, Participants

      A cross-sectional study design was used to evaluate feasibility of ASA-24 among overweight and obese adults at high risk for type 2 diabetes participating in the National Diabetes Prevention Program (NDPP). NDPPs were delivered in 12 Georgia counties (7 metropolitan; 5 nonmetropolitan) by Cooperative Extension. Participants were asked to complete two 24-hour recalls, 1 weekday and 1 weekend day, using ASA-24, without individual instruction.

      Measurable Outcome/Analysis

      Number and percentage of participants who completed >1 ASA-24s and mean + standard deviation Calorie, carbohydrate, protein, and fat intakes were calculated.


      Of the 86 participants asked to complete 2 ASA-24s, 54 (63%) completed >1 recall. Forty-eight (56%) participants completed 1 weekday; 27 (31%) completed 1 weekend day; and 31 (36%) completed >2 days, with 20 (23%) completing 1 weekday and 1 weekend day as instructed. Mean reported Calorie intake was 1,691+1,088 kcal (range, 128-7444 kcal). Mean carbohydrate, protein, and fat intakes reported were 180+109 g (range, 10-688 g), 77+47 g (range, 2-233 g), and 75+60 (range, 10-418 g), respectively. Of those who completed >1 recall, 83% were female and had at least some college education, with 100% being high school graduates and 48% college graduates.


      While a majority (63%) of participants completed >1 ASA-24 recall, <25% completed 1 weekday and 1 weekend day as instructed. While mean nutrient intakes were reasonable, standard deviations indicate further instruction may be needed. Future analyses will assess other factors influencing feasibility.
      Funding: University of Georgia Presidential Interdisciplinary Seed Grant Program.

      Appendix. Supplementary data