Evidence map›Paper›PMID 37954690›Full record

ArticleDigital health

Feasibility of using the Automated Self-Administered 24-hour (ASA-24) dietary assessment tool in older adults.

Hillary B Spangler, Tiffany Driesse, Michael Fowler, David H Lynch, Xiaohui Liang, Danae Gross, Curtis Petersen, John A Batsis

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Hillary B SpanglerDivision of Geriatric Medicine, UNC School of Medicine, Chapel Hill, NC, USA.ORCID https://orcid.org/0000-0003-4027-4113
Tiffany DriesseDivision of Geriatric Medicine, UNC School of Medicine, Chapel Hill, NC, USA.
Michael FowlerDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
David H LynchDivision of Geriatric Medicine, UNC School of Medicine, Chapel Hill, NC, USA.
Xiaohui LiangDepartment of Computer Science, University of Massachusetts Boston, Boston, MS, USA.
Danae GrossDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Curtis PetersenThe Dartmouth Institute for Health Policy and Clinical Practice, Dartmouth College, Hanover, NH, USA.
John A BatsisDivision of Geriatric Medicine, UNC School of Medicine, Chapel Hill, NC, USA.

Funding

SCH: INT: Collaborative Research: Exploiting Voice Assistant Systems for Early Detection of Cognitive DeclineR01AG067416 · NIA · UNIVERSITY OF MASSACHUSETTS BOSTON · PI LIANG, XIAOHUI · 2019 to 2022
$1.2M
NIA NIH HHS R01 AG067416
6 · The paper itself

Abstract

Background: Dietary patterns can impact the trajectories of healthy aging. However, dietary assessment tools can be challenging to use. With the increased use of technology in older adults, we aimed to evaluate the feasibility of older adults completing the online, Automated Self-Administered 24-h (ASA-24) dietary assessment tool. Methods: We conducted a randomized, two-period, two-sequence, crossover design of twenty community-dwelling older adults (≥65 years) comparing their preference for completing the ASA-24 alone versus with a research assistant (RA). Participants were recruited via ResearchMatch.com and randomly allocated 1:1 to a sequence of completing both an ASA-24 alone or with an RA, separated by one week. After each session, participants completed an online 11-item feasibility survey (Likert-scale range of 1-5, strongly disagree to strongly agree). Mean and standard deviations were reported for each question. Results: Mean age was 69 ± 3.5 years (90% females), with no differences were observed for sex, age, race, ethnicity, education, or income. Neither group felt a need for RA assistance ( Conclusion: While older adults were able to complete the ASA-24 independently, the use of an RA led to improved confidence. Enhancing the sample diversity in a larger number of participants could provide helpful data to improve the science of dietary assessment.

Indexed as

dietlifestyleolder adultpersonalized medicineself-efficacytelehealthtelemedicine

Identifiers

PMID37954690
PMCPMC10637164

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.