Evidence map›Paper›PMID 26611438›Full record

ArticleJournal of medical Internet research2015

The Association Between Online Health Information-Seeking Behaviors and Health Behaviors Among Hispanics in New York City: A Community-Based Cross-Sectional Study.

Young Ji Lee, Bernadette Boden-Albala, Haomiao Jia, Adam Wilcox, Suzanne Bakken

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
10.4field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
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  15. The Use of Fitness Influencers' Websites by Young Adult Women: A Cross-Sectional Study.International journal of environmental research and public health · 2020
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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 4 institutions in 1 country.

Young Ji LeeDepartment of Health and Community Systems, School of Nursing, University of Pittsburgh, Pittsburgh, PA, United States. leeyoung@pitt.edu.ORCID http://orcid.org/0000-0001-6359-4721
Columbia University · USIntermountain Healthcare · USNew York University · USUniversity of Pittsburgh · US

Funding

Washington Heights Initiative Community-based Comparative Effectiveness ResearchR01HS019853 · AHRQ · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BAKKEN, SUZANNE · 2010 to 2010
$8.9M
WICER 4UR01HS022961 · AHRQ · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BAKKEN, SUZANNE · 2013 to 2013
$750k
AHRQ HHS R01 HS019853AHRQ HHS R01HS019853AHRQ HHS R01 HS022961AHRQ HHS R01HS022961
6 · The paper itself

Abstract

backgroundHispanics are the fastest-growing minority group in the United States and they suffer from a disproportionate burden of chronic diseases. Studies have shown that online health information has the potential to affect health behaviors and influence management of chronic disease for a significant proportion of the population, but little research has focused on Hispanics.

objectiveThe specific aim of this descriptive, cross-sectional study was to examine the association between online health information-seeking behaviors and health behaviors (physical activity, fruit and vegetable consumption, alcohol use, and hypertension medication adherence) among Hispanics.

methodsData were collected from a convenience sample (N=2680) of Hispanics living in northern Manhattan by bilingual community health workers in a face-to-face interview and analyzed using linear and ordinal logistic regression. Variable selection and statistical analyses were guided by the Integrative Model of eHealth Use.

resultsOnly 7.38% (198/2680) of the sample reported online health information-seeking behaviors. Levels of moderate physical activity and fruit, vegetable, and alcohol consumption were low. Among individuals taking hypertension medication (n=825), adherence was reported as high by approximately one-third (30.9%, 255/825) of the sample. Controlling for demographic, situational, and literacy variables, online health information-seeking behaviors were significantly associated with fruit (β=0.35, 95% CI 0.08-0.62, P=.01) and vegetable (β=0.36, 95% CI 0.06-0.65, P=.02) consumption and physical activity (β=3.73, 95% CI 1.99-5.46, P<.001), but not alcohol consumption or hypertension medication adherence. In the regression models, literacy factors, which were used as control variables, were associated with 3 health behaviors: social networking site membership (used to measure one dimension of computer literacy) was associated with fruit consumption (β=0.23, 95% CI 0.05-0.42, P=.02), health literacy was associated with alcohol consumption (β=0.44, 95% CI 0.24-0.63, P<.001), and hypertension medication adherence (β=-0.32, 95% CI -0.62 to -0.03, P=.03). Models explained only a small amount of the variance in health behaviors.

conclusionsGiven the promising, although modest, associations between online health information-seeking behaviors and some health behaviors, efforts are needed to improve Hispanics' ability to access and understand health information and to enhance the availability of online health information that is suitable in terms of language, readability level, and cultural relevance.

Indexed as

AdolescentCross-Sectional StudiesFemaleHealth BehaviorHispanic or LatinoHumansInformation Seeking BehaviorMaleNew York CityTelemedicineUnited Statesconsumer health informationhealth behaviorHispanic Americansinformation-seeking behaviorInternet

Identifiers

PMID26611438
PMCPMC6858013
OpenAlexW2173952790

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.