Evidence map›Paper›PMID 32105300›Full record

ArticleJAMA ophthalmology2020

Patterns of Chronic Conditions and Their Association With Visual Impairment and Health Care Use.

D Diane Zheng, Sharon L Christ, Byron L Lam, Daniel J Feaster, Kathryn McCollister, David J Lee

Open access · bronzeAbstract read
In one paragraph

Article in JAMA ophthalmology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.4field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 44 citations in OpenAlex.

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  19. Assessment of Physical Activity and Related Factors among Adults with Visual Impairments in Japan.International journal of environmental research and public health · 2022
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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

6 authors at 2 institutions in 1 country.

D Diane ZhengDepartment of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida.
Sharon L ChristDepartment of Human Development and Family Studies and Statistics, Purdue University, West Lafayette, Indiana.
Byron L LamBascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida.
Daniel J FeasterDepartment of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida.
Kathryn McCollisterDepartment of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida.
David J LeeDepartment of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida.
University of Miami · USPurdue University West Lafayette · US

Funding

Miami Clinical and Translational Science InstituteUL1TR002736 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, KOBETZ, ERIN N · 2018 to 2022
$23.2M
Health Disparities in Visually Impaired Adults with MultimorbidityF31EY025936 · NEI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ZHENG, DANDAN DIANE · 2016 to 2018
$132k
NCATS NIH HHS UL1 TR002736NEI NIH HHS F31 EY025936
6 · The paper itself

Abstract

Importance: Visual impairment and visual disorders often co-occur with other chronic conditions. Understanding patterns of multimorbidity is important for reducing health care use and improving health outcomes. Objective: To identify chronic condition patterns and their association with visual impairment and health care use in a nationally representative sample. Design, Setting, and Participants: This cross-sectional study used National Health Interview Survey data for 387 780 individuals aged 18 years and older, representative of the civilian noninstitutionalized US population, from January 1, 2002, to December 31, 2014. Statistical analysis was performed from June to November 2018. Exposures: Participants were classified in subgroups with different combinations of self-reported chronic conditions using latent class analysis. Main Outcomes and Measures: Self-reported visual impairment, emergency department visit, and hospitalization use in the previous 12 months. Results: Among the 387 780 individuals included in the study, 51.8% were female, 77.6% were white, and the mean (SD) age was 46.2 (18.0) years. Latent class analysis identified 5 different classes, with 70.5% of the participants belonging to the healthy group. The other 4 groups represented various degrees and patterns of multimorbidity. The hypertensive group (19.6%) had a high prevalence of hypertension (62.6%), the respiratory conditions group (4.4%) had a high prevalence of emphysema (47.7%) and asthma (45.6%), the heart disease group (3.6%) had high prevalence of coronary heart disease (69.8%), and the severely impaired group (1.8%) had higher prevalence of most conditions compared with the other groups. In the adjusted analysis, compared with the healthy group, participants in all 4 disease groups had elevated risk of visual impairment: heart condition group (odds ratio [OR], 3.19; 95% CI, 2.92-3.48), hypertensive group (OR, 3.28; 95% CI, 3.10-3.48), respiratory condition group (OR, 3.87; 95% CI, 3.56-4.20), and severely impaired group (OR, 10.19; 95% CI, 9.20-11.28). All 4 disease groups had elevated risk of reporting emergency department use and hospitalization. For the severely impaired group, the OR for emergency department use was 9.39 (95% CI, 8.53-10.34), and the OR for hospitalization was 10.80 (95% CI, 9.80-11.92). Conclusions and Relevance: In this study, individuals in all 4 multimorbidity groups had an elevated risk of visual impairment and health care use compared with the healthy group. Characteristics of high-risk groups identified by this study may help in the development and implementation of interventions to avert the more serious consequences of having multiple chronic conditions.

Indexed as

AdultAgedChronic DiseaseCross-Sectional StudiesFemaleHealth BehaviorHealth StatusHospitalizationHumansMaleMiddle AgedNutrition SurveysPatient Acceptance of Health CarePersons with Visual DisabilitiesPrevalenceRisk Factors

Identifiers

PMID32105300
PMCPMC7047855
OpenAlexW3007147439

What OpenQuestion holds

Textmetadata
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.