Evidence map›Paper›PMID 23235350›Full record

ArticlePublic health genomics2013

Genetic and lifestyle causal beliefs about obesity and associated diseases among ethnically diverse patients: a structured interview study.

S C Sanderson, M A Diefenbach, S A Streicher, E W Jabs, M Smirnoff, C R Horowitz, R Zinberg, C Clesca, L D Richardson

Open access · bronzeAbstract read
In one paragraph

Article in Public health genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Beliefs about the causes of hypertension and associations with pro-health behaviors.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2018
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Stakeholder engagement: a key component of integrating genomic information into electronic health records.Genetics in medicine : official journal of the American College of Medical Genetics · 2013
    Review
  15. 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

9 authors at 4 institutions in 2 countries.

S C SandersonDepartment of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, NY 10029, USA. saskia.sanderson@mssm.edu
M A Diefenbach
S A Streicher
E W Jabs
M Smirnoff
C R Horowitz
R Zinberg
C Clesca
L D Richardson
Icahn School of Medicine at Mount Sinai · USChild Health and Development Institute · USCentre for Nursing Innovation · GBYale University · US

Funding

MOUNT SINAI INSTITUTES FOR CLINICAL AND TRANSLATIONAL SCIENCESUL1RR029887 · NCRR · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SAMPSON, HUGH A · 2009 to 2011
$19.2M
Mount Sinai Institutes for Clinical and Translational SciencesUL1TR000067 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SAMPSON, HUGH A · 2012 to 2014
$16.5M
Disseminating Effective Community-Led Programs to Elimanate Diabetes DisparitiesR24MD001691 · NIMHD · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI HOROWITZ, CAROL R · 2005 to 2015
$6.0M
Genomic Medicine Pilot For Hypertension And Kidney Disease In Primary CareU01HG007278 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HOROWITZ, CAROL R · 2013 to 2018
$5.7M
Biorepository for Genomic Medicine in diverse CommunitiesU01HG006380 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BOTTINGER, ERWIN P. · 2011 to 2015
$4.5M
NCATS NIH HHS UL1 TR000067NCRR NIH HHS UL1 RR029887NCRR NIH HHS UL1RR029887NHGRI NIH HHS U01 HG006380NHGRI NIH HHS U01 HG007278NIMHD NIH HHS R24 MD001691
6 · The paper itself

Abstract

backgroundNew genetic associations with obesity are rapidly being discovered. People's causal beliefs about obesity may influence their obesity-related behaviors. Little is known about genetic compared to lifestyle causal beliefs regarding obesity, and obesity-related diseases, among minority populations. This study examined genetic and lifestyle causal beliefs about obesity and 3 obesity-related diseases among a low-income, ethnically diverse patient sample.

methodsStructured interviews were conducted with patients attending an inner-city hospital outpatient clinic. Participants (n=205) were asked how much they agreed that genetics influence the risk of obesity, type 2 diabetes, heart disease, and cancer. Similar questions were asked regarding lifestyle causal beliefs (overeating, eating certain types of food, chemicals in food, not exercising, smoking). In this study, 48% of participants were non-Hispanic Black, 29% Hispanic and 10% non-Hispanic White.

resultsOver two-thirds (69%) of participants believed genetics cause obesity 'some' or 'a lot', compared to 82% for type 2 diabetes, 79% for heart disease and 75% for cancer. Participants who held genetic causal beliefs about obesity held more lifestyle causal beliefs in total than those who did not hold genetic causal beliefs about obesity (4.0 vs. 3.7 lifestyle causal beliefs, respectively, possible range 0-5, p=0.025). There were few associations between causal beliefs and sociodemographic characteristics.

conclusionsHigher beliefs in genetic causation of obesity and related diseases are not automatically associated with decreased lifestyle beliefs. Future research efforts are needed to determine whether public health messages aimed at reducing obesity and its consequences in racially and ethnically diverse urban communities may benefit from incorporating an acknowledgement of the role of genetics in these conditions.

Indexed as

EthnicityLife StyleAdultAgedAged, 80 and overFemaleHumansInterviews as TopicMaleMiddle AgedObesityYoung Adult

Identifiers

PMID23235350
PMCPMC4351705
OpenAlexW2094294272

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.