Evidence map›Paper›PMID 30935543›Full record

ArticleComplementary therapies in medicine2019

Diagnoses associated with dietary supplement use in a national dataset.

Julie Friedman, Jen Birstler, Gayle Love, David Kiefer

Abstract read
In one paragraph

Article in Complementary therapies in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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.

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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. iDISK: the integrated DIetary Supplements Knowledge base.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
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

4 authors.

Julie FriedmanUniversity of Wisconsin School of Medicine and Public Health, United States.
Jen BirstlerUniversity of Wisconsin-Madison, Department of Biostatistics and Informatics, United States.
Gayle LoveUniversity of Wisconsin-Madison Institute on Aging, United States.
David KieferUniversity of Wisconsin, Department of Family Medicine and Community Health, United States. Electronic address: david.kiefer@fammed.wisc.edu.

Funding

U19 MIDlife in the United States-Diversity Supplement-WellsU19AG051426 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CAROL D. RYFF · 2016 to 2026
$74.8M
STATISTICS COREP01AG020166 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RYFF, CAROL D. · 2002 to 2015
$50.6M
Longitudinal Perspectives on Race and Health in MIDUS: Insights from MilwaukeeR01AG047154 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RYFF, CAROL D. · 2015 to 2017
$1000k
NIA NIH HHS P01 AG020166NIA NIH HHS R01 AG047154NIA NIH HHS U19 AG051426
6 · The paper itself

Abstract

objectivesThe purpose of this study was to determine if participant diagnosis, as determined by a health care provider, is associated with dietary supplement (DS) use. DESIGN/

settingSurveys from 1255 study participants aged 34-84, part of the Midlife in the US Study (MIDUS 2 Survey) Biomarker Project, were reviewed. Participant data included pharmaceutical use (prescription and over-the-counter medications (OTC)), clinical symptoms and diagnosis, and laboratory results. Associations were calculated between the above participant characteristics and DS use.

main outcome measuresFrequency of DS use for physician-reported diagnoses.

resultsOverall prevalence of DS use was 32.4%. Participants taking DS were more often female (p = .048), white (p < 0.001), and older (mean age 57 years, p < 0.001). Participants taking DS reported taking more OTC (p < .001) and prescription medications (p = .024), and had an increased number of chronic conditions (p = .004). Participants reporting physician-diagnosed diabetes were significantly less likely to be taking DS (p = .0066), while participants with eye disease (p = .001), high cholesterol (p = 0.041), cancer (p = 0.042), and arthritis (p = 0.044) were more likely to be taking DS than those without those conditions. No difference in DS use was found between patients with and without other identified medical conditions. After adjusting for age, race/ethnicity, and gender, only diabetes remained a significant predictor of decreased DS use (OR 0.588, CI 0.388-0.873, p = .01).

conclusionsSome physician-reported participant diagnoses were associated, positively or negatively, with DS use.

Indexed as

AdultAgedAged, 80 and overChronic DiseaseDietary SupplementsFemaleHumansMaleMiddle AgedNonprescription DrugsPrescription DrugsPrevalenceSurveys and QuestionnairesNonprescription DrugsPrescription DrugsDiabetesDietary supplementsHerbal medicinesMIDUSNational dataset

Identifiers

PMID30935543
PMCPMC6638564

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.