Evidence map›Paper›PMID 41310610›Full record

ArticleBMC public health2025

Census-tract broadband connectivity and the risk of diabetes, hypertension and obesity/overweight in California.

Shane DeGrace, Norman Turk, Yasmine Alhoch, O Kenrik Duru

Abstract read
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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Shane DeGraceUniversity of California San Diego School of Medicine, 9500 Gilman Drive La Jolla, San Diego, CA, 92093, USA.
Norman TurkDavid Geffen School of Medicine, University of California, Los Angeles, 1100 Glendon Avenue, Suite 900, Los Angeles, CA, 90024, USA.
Yasmine AlhochUCLA Center for Health Policy Research, University of California, Los Angeles, 10960 Wilshire Blvd, Suite 1550, Los Angeles, CA, 90024, USA.
O Kenrik DuruDavid Geffen School of Medicine, University of California, Los Angeles, 1100 Glendon Avenue, Suite 900, Los Angeles, CA, 90024, USA. kduru@mednet.ucla.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the digital age, a growing literature suggests that broadband coverage and high-speed internet access are social determinants of health. However, there is little research on regional broadband connectivity and its relationship to the prevalence of common health conditions such as type 2 diabetes, hypertension, and obesity/overweight. Using the California Health Interview Survey (CHIS) and US Census data, we aimed to assess if local broadband connectivity at the census tract level was related to prevalence of cardiometabolic dysfunction (diabetes, hypertension, and obesity/overweight) in these census tracts.

methodsUsing a cross-sectional design, we analyzed data from 2019 California Health Interview Survey (CHIS) respondents aged 18 years or older (n = 21,905). Broadband connectivity and population density at the census tract level was determined from 2010 US Census data. Health information, secondary predictors, and covariates were self-reported by California Health Interview Survey CHIS respondents.

resultsThe prevalence of type 2 diabetes was greater in broadband connectivity areas with less than 40% high-speed connectivity (OR 2.4, 95% CI 1.6-3.7, p < 0.001) as compared with broadband connectivity areas with greater than 80% high-speed connectivity. As compared to areas with greater than 80% high-speed connectivity, we did not find differences in diabetes prevalence for areas with 40-60% high-speed connectivity (OR 1.2, 95% CI 0.8-1.7) or areas with 60-80% high-speed connectivity (OR 1.2, 95% CI 0.97-1.4). There were trends toward greater hypertension prevalence in areas with lower high-speed broadband connectivity as compared to higher broadband connectivity, but none of the differences reached statistical significance (all p values between 0.05 and 0.1). We did not find statistically differences in the prevalence of obesity/overweight for areas with different penetration of high-speed broadband connectivity.

conclusionsIn California, the prevalence of cardiometabolic conditions, particularly type 2 diabetes, is highest in areas with lowest broadband connectivity. More research is needed to better understand the direct relationship between broadband connectivity, the usage of online health resources and the management or prevention of cardiometabolic dysfunction.

Indexed as

Diabetes Mellitus, Type 2HypertensionInternet AccessObesityAdolescentAdultAgedCaliforniaCensusesCross-Sectional StudiesFemaleHealth SurveysHumansMaleMiddle AgedPrevalenceBroadbandDiabetesHypertensionInternetObesity

Identifiers

PMID41310610
PMCPMC12752227

What Socratic holds

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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 Socratic graph.