Evidence map›Paper›PMID 36130856›Full record

ArticleDisability and health journal2023

Risk of type 2 diabetes mellitus among adults aging with vision impairment: The role of the neighborhood environment.

Philippa Clarke, Anam M Khan, Neil Kamdar, Kristian Seiler, Kenzie Latham-Mintus, Mark D Peterson, Michelle A Meade, Joshua R Ehrlich

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Disability and health journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Philippa ClarkeInstitute for Social Research, University of Michigan, Ann Arbor, MI, USA; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA; University of Michigan Center for Disability Health and Wellness, Ann Arbor, MI, USA. Electronic address: pjclarke@umich.edu.
Anam M KhanInstitute for Social Research, University of Michigan, Ann Arbor, MI, USA; University of Michigan Center for Disability Health and Wellness, Ann Arbor, MI, USA.
Neil KamdarInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA; University of Michigan Center for Disability Health and Wellness, Ann Arbor, MI, USA; Department of Surgery, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Obstetrics and Gynecology, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA.
Kristian SeilerInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
Kenzie Latham-MintusDepartment of Sociology, Indiana University School of Liberal Arts, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA.
Mark D PetersonInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA; University of Michigan Center for Disability Health and Wellness, Ann Arbor, MI, USA; Department of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA.
Michelle A MeadeInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA; University of Michigan Center for Disability Health and Wellness, Ann Arbor, MI, USA; Department of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA.
Joshua R EhrlichInstitute for Social Research, University of Michigan, Ann Arbor, MI, USA; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA; University of Michigan Center for Disability Health and Wellness, Ann Arbor, MI, USA; Department of Ophthalmology & Visual Sciences, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA.
University of Michigan–Ann Arbor · USIndiana University – Purdue University Indianapolis · USMichigan Medicine · US

Funding

Michigan Institute for Clinical and Health Research (MICHR)UL1TR002240 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUMENG, JULIE C, MASHOUR, GEORGE ALEXANDER · 2017 to 2022
$54.9M
A National Neighborhood Data Resource to Understand the Health and Socioeconomic Impacts of the 2020 Pandemic in the United StatesU01NR020556 · NINR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Philippa Clarke, Grace A Noppert · 2022 to 2026
$3.2M
Addressing Low Vision due to Severe Peripheral Field Loss: Development and Validation of a Patient-Centered Outcome MeasureK23EY027848 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI EHRLICH, JOSHUA ROBERT · 2017 to 2021
$1.2M
ACL HHS 90RTHF0001NCATS NIH HHS UL1 TR002240NEI NIH HHS K23 EY027848NINR NIH HHS U01 NR020556
6 · The paper itself

Abstract

backgroundVision impairment (VI) affects approximately 1 in 28 Americans over the age of 40 and the prevalence increases sharply with age. However, experiencing vision loss with aging can be very different from aging with VI acquired earlier in life. People aging with VI may be at increased risk for diabetes due to environmental barriers in accessing health care, healthy food, and recreational resources that can facilitate positive health behaviors.

objectiveThis study examined the relationship between neighborhood characteristics and incident type 2 diabetes mellitus (T2DM) among a cohort of 22,719 adults aging with VI.

methodsData are from Optum® Clinformatics® DataMart, a private administrative claims database (2008-2017). Individuals 18 years of age and older at the time of their initial VI diagnosis were eligible for analysis. VI was determined using vision impairment, low vision, and blindness codes (ICD-9-CM, ICD-10-CM). Covariates included age, sex, and comorbidities. Cox models estimated adjusted hazard ratios (HRs) for incident T2DM. Stratified models examined differences in those aging with (age 18-64) and aging into (age 65+) vision impairment.

resultsResidence in neighborhoods with greater intersection density (HR = 1.26) and high-speed roads (HR = 1.22) were associated with increased risk of T2DM among older adults with VI. Living in neighborhoods with broadband internet access (HR = 0.67), optical stores (HR = 0.62), supermarkets (HR = 0.78), and gyms/fitness centers (HR = 0.63) was associated with reduced risk of T2DM for both younger and older adults with VI.

conclusionsFindings emphasize the importance of neighborhood context for mitigating the adverse consequences of vision loss for health.

Indexed as

Diabetes Mellitus, Type 2Persons with DisabilitiesVision, LowAdolescentAdultAgedAgingBlindnessHumansMiddle AgedNeighborhood CharacteristicsVision DisordersYoung AdultAgingDiabetesNeighborhood environmentVision impairment

Identifiers

PMID36130856
PMCPMC9772041
OpenAlexW4293483649

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.