Evidence map›Paper›PMID 27352770›Full record

ArticleJournal of medical Internet research2016

Health-Specific Information and Communication Technology Use and Its Relationship to Obesity in High-Poverty, Urban Communities: Analysis of a Population-Based Biosocial Survey.

Anjali Gopalan, Jennifer A Makelarski, Lori B Garibay, Veronica Escamilla, Raina M Merchant, Marcus B Wolfe, Rebecca Holbrook, Stacy Tessler Lindau

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Increasing the Impact of JMIR Journals in the Attention Economy.Journal of medical Internet research · 2019
    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

8 authors.

Anjali GopalanCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, United States. Anjali.Gopalan@kp.org.ORCID 0000-0002-9300-1154
Jennifer A MakelarskiORCID 0000-0001-6484-1675
Veronica EscamillaORCID 0000-0002-0051-2458
Stacy Tessler LindauORCID 0000-0002-9054-6538

Funding

PROGRAM DEVELOPMENT COREP30AG012857 · NIA · NATIONAL OPINION RESEARCH CENTER · PI WAITE, LINDA · 1999 to 2013
$5.7M
Evaluating a Self-Care Innovation for Older Adults using Agent-Based ModelingR01AG047869 · NIA · UNIVERSITY OF CHICAGO · PI LINDAU, STACY TESSLER · 2014 to 2018
$3.4M
NIA NIH HHS P30 AG012857NIA NIH HHS R01 AG047869
6 · The paper itself

Abstract

backgroundMore than 35% of American adults are obese. For African American and Hispanic adults, as well as individuals residing in poorer or more racially segregated urban neighborhoods, the likelihood of obesity is even higher. Information and communication technologies (ICTs) may substitute for or complement community-based resources for weight management. However, little is currently known about health-specific ICT use among urban-dwelling people with obesity.

objectiveWe describe health-specific ICT use and its relationship to measured obesity among adults in high-poverty urban communities.

methodsUsing data collected between November 2012 and July 2013 from a population-based probability sample of urban-dwelling African American and Hispanic adults residing on the South Side of Chicago, we described patterns of ICT use in relation to measured obesity defined by a body mass index (BMI) of ≥30 kg/m(2). Among those with BMI≥30 kg/m(2), we also assessed the association between health-specific ICT use and diagnosed versus undiagnosed obesity as well as differences in health-specific ICT use by self-reported comorbidities, including diabetes and hypertension.

resultsThe survey response rate was 44.6% (267 completed surveys/598.4 eligible or likely eligible individuals); 53.2% were African American and 34.6% were Hispanic. More than 35% of the population reported an annual income of less than US $25,000. The population prevalence of measured obesity was 50.2%. People with measured obesity (BMI≥30 kg/m(2)) were more likely to report both general (81.5% vs 67.0%, P=.04) and health-specific (61.1% vs 41.2%, P=.01) ICT use. In contrast, among those with measured obesity, being told of this diagnosis by a physician was not associated with increased health-specific ICT use. People with measured obesity alone had higher rates of health-specific use than those with comorbid hypertension and/or diabetes diagnoses (77.1% vs 60.7% vs 47.4%, P=.04).

conclusionsIn conclusion, ICT-based health resources may be particularly useful for people in high-poverty urban communities with isolated measured obesity, a population that is at high risk for poor health outcomes.

Indexed as

CommunicationObesityAdultAgedBlack or African AmericanChicagoComorbidityDiabetes MellitusFemaleHealth ResourcesHispanic or LatinoHumansHypertensionMaleMedical InformaticsMiddle AgedInternetobesitytechnologyurban health

Identifiers

PMID27352770
PMCPMC4942684

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.