Evidence map›Paper›PMID 25931282›Full record

ArticleDiabetes research and clinical practice2015

Family history and body mass index predict perceived risks of diabetes and heart attack among community-dwelling Caucasian, Filipino, Korean, and Latino Americans--DiLH Survey.

Yoshimi Fukuoka, JiWon Choi, Melinda S Bender, Prisila Gonzalez, Shoshana Arai

Open access · greenAbstract read
In one paragraph

Article in Diabetes research and clinical practice, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
3.3field-weighted citation impact, top 8% of its field
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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Dynamics of diabetes and obesity: Epidemiological perspective.Biochimica et biophysica acta. Molecular basis of disease · 2017
    Review
  13. Review
  14. Article
  15. Article
  16. 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

5 authors at 1 institution in 1 country.

Yoshimi FukuokaUniversity of California, Institute for Health & Aging/Department of Social & Behavioral Sciences, School of Nursing, 3333 California Street, BOX0646, San Francisco, CA 94118, United States. Electronic address: Yoshimi.Fukuoka@ucsf.edu.
JiWon ChoiUniversity of California, Institute for Health & Aging/Department of Social & Behavioral Sciences, School of Nursing, 3333 California Street, BOX0646, San Francisco, CA 94118, United States.
Melinda S BenderUniversity of California, Institute for Health & Aging/Department of Social & Behavioral Sciences, School of Nursing, 3333 California Street, BOX0646, San Francisco, CA 94118, United States.
Prisila GonzalezUniversity of California, Institute for Health & Aging/Department of Social & Behavioral Sciences, School of Nursing, 3333 California Street, BOX0646, San Francisco, CA 94118, United States.
Shoshana AraiUniversity of California, Institute for Health & Aging/Department of Social & Behavioral Sciences, School of Nursing, 3333 California Street, BOX0646, San Francisco, CA 94118, United States.
University of California, San Francisco · US

Funding

NURSING RESEARCH TRAINING IN SYMPTOM MANAGEMENTT32NR007088 · NINR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEE, KATHRYN · 1996 to 2015
$7.5M
Applying Mobile-Persuasive Technologies to Increase Physical Activity in WomenR01HL104147 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FUKUOKA, YOSHIMI · 2010 to 2014
$3.7M
NHLBI NIH HHS 3R01HL104147-02S1NHLBI NIH HHS R01 HL104147NHLBI NIH HHS R01HL104147NINR NIH HHS T32 NR007088
6 · The paper itself

Abstract

aimThe purpose of the study was to explore the perceived risk for diabetes and heart attack and associated health status of Caucasian, Filipino, Korean, and Latino Americans without diabetes.

methodsA cross-sectional survey was conducted with 904 urban adults (mean age 44.3±16.1 years; 64.3% female) in English, Spanish or Korean between August and December 2013.

resultsPerceived risk for developing diabetes was indicated by 46.5% (n=421), and 14.3% (n=129) perceived themselves to be at risk for having a heart attack in their lifetime. Significant predictors of pessimistic diabetes risk perceptions: Filipino (adjusted odds ratio [AOR]=1.7; 95% CI: 1.04-2.86) and Korean (AOR=2.4; 1.33-4.48) ethnicity, family history of diabetes (AOR=1.4; 1.00-1.84), female gender (AOR=1.4; 1.04-1.96), high cholesterol (AOR= 1.6; 1.09-2.37) and higher body mass index (BMI) (AOR=1.1; 1.08-1.15). Predictors of pessimistic heart attack risk perceptions were family history of an early heart attack (AOR=2.9; 1.69-5.02), high blood pressure (AOR=2.4; 1.45-3.84), and higher BMI (AOR=1.1; 1.04-1.12) after controlling for socio-demographic factors. Older age, physical inactivity, smoking, and low HDL levels were not associated with risk perceptions.

conclusionMultiple risk factors were predictive of greater perceived diabetes risk, whereas, only family history of heart attack, high blood pressure and increases in BMI significantly contributed to perceived risk of heart attack among ethnically diverse at risk middle-aged adults. It is important that healthcare providers address the discordance between an individual's risk perceptions and the presence of actual risk factors.

Indexed as

Body Mass IndexFamily HealthAdultAgedAged, 80 and overAsian PeopleCross-Sectional StudiesDiabetes MellitusFemaleHispanic or LatinoHumansMaleMiddle AgedMyocardial InfarctionPerceptionPrognosisBody mass indexDiabetes mellitusFamily historyFilipinoHeart attackKoreanLatinoRisk factorsRisk perception

Identifiers

PMID25931282
PMCPMC4470846
OpenAlexW2046702185

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.