Evidence map›Paper›PMID 40185234›Full record

ArticleThe American journal of clinical nutrition2025

Methods matter for dietary supplement exposure assessment: comparing prevalence, product types, and amounts of nutrients from dietary supplements in the Interactive Diet and Activity Tracking in the American Association of Retired Persons cohort study.

Alexandra E Cowan-Pyle, Regan L Bailey, Jaime J Gahche, Johanna T Dwyer, Lindsay M Reynolds, Raymond J Carroll, Bani K Mallick, Diane C Mitchell, Janet A Tooze

Abstract readComparative Study
In one paragraph

Article in The American journal of clinical nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Alexandra E Cowan-PyleDepartment of Nutrition, Texas A&M University, College Station, TX, United States. Electronic address: alexandra.cowan@ag.tamu.edu.
Regan L BaileyDepartment of Behavioral Sciences and Social Medicine, College of Medicine, Florida State University, Tallahassee, FL, United States.
Jaime J GahcheNIH Office of Dietary Supplements, Bethesda, MD, United States.
Johanna T DwyerNIH Office of Dietary Supplements, Bethesda, MD, United States; Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States.
Lindsay M ReynoldsDepartment of Epidemiology and Prevention, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, NC, United States.
Raymond J CarrollDepartment of Statistics, Texas A&M University, College Station, TX, United States.
Bani K MallickDepartment of Statistics, Texas A&M University, College Station, TX, United States.
Diane C MitchellInstitute for Advancing Health Through Agriculture, Texas A&M AgriLife Research, College Station, TX, United States.
Janet A ToozeDepartment of Biostatistics and Data Science, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, NC, United States.

Funding

Development of a Total Nutrient IndexU01CA215834 · NCI · TEXAS A&M AGRILIFE RESEARCH · PI REGAN BAILEY, JANET A. TOOZE · 2017 to 2026
$2.2M
NCI NIH HHS U01 CA215834
6 · The paper itself

Abstract

backgroundValid dietary supplement (DS) assessment methods are critical for nutrition research and monitoring as DS contributes substantially toward micronutrient exposures for millions of Americans. Little is known about how DS assessment tools vary in estimating the prevalence of use and micronutrient amounts from DS.

objectivesWe compared repeat collections over a year of 2 commonly used DS assessment methods: the diet history questionnaire-II (DHQII) and the automated-self-administered 24-h dietary recall (ASA24), within the longitudinal Interactive Diet and Activity Tracking in American Association of Retired Persons (IDATA) study.

methodsDS information was collected among IDATA participants (n = 795; 50-74 y) who completed 2-6 ASA24s and a second DHQII. Agreement [Kappa (κ)] at the individual level and group-level prevalence of DS use (McNemar's test) overall and by product type were compared among all participants. Mean calcium and vitamin D intakes, by source, and nutrient amounts per consumption day (i.e., dosages) from DS were compared between the DHQII and ASA24 among DS users. Calcium and vitamin D were chosen as priority nutrients, as they reflect vitamins and minerals and are ubiquitous in DS.

resultsPrevalence of DS use varied by product type [13 of 28 comparisons differed in prevalence (McNemar's test); Kappa agreement range: κ = -0.03 to 0.73)]. Mean consumption day amounts of vitamin D (but not calcium) were remarkably different as assessed by the DHQII and ASA24 (mean ± standard error): vitamin D ranged from 24 ± 2.7 to 45 ± 9.5 μg/d on the ASA24 and from 12 ± 0.3 to 14 ± 0.3 μg/d on the DHQII (P < 0.0001).

conclusionsWithin IDATA, the comparability of ASA24 and DHQII in estimating the prevalence of use of and nutrient intakes from DS fluctuates by nutrient and product type. DS approaches beyond a questionnaire may be warranted for estimating absolute nutrient amounts, and the choice of the DS assessment method depends on the nutrient/dietary component of interest.

Indexed as

DietDietary SupplementsNutrientsAgedCohort StudiesDiet SurveysFemaleHumansMaleMicronutrientsMiddle AgedNutrition AssessmentPrevalenceRetirementSurveys and QuestionnairesUnited StatesMicronutrientsNutrientsVitamin Ddietary supplementdietary supplement assessment methodsIDATAmicronutrientsnutrient intake

Identifiers

PMID40185234
PMCPMC12226753

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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.