Evidence map›Paper›PMID 28008416›Full record

ArticleGerontology & geriatric medicine

Comorbidities Among Persons With Incident Psychiatric Condition.

Kyle R Fluegge

Open access · goldAbstract read
In one paragraph

Article in Gerontology & geriatric medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Comparing anxiety and depression to obesity and smoking as predictors of major medical illnesses and somatic symptoms.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2019
    Article
  2. Article
  3. 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

1 author at 1 institution in 1 country.

Kyle R FlueggeCase Western Reserve University, Cleveland, OH, USA; Institute of Health and Environmental Research, Cleveland, OH, USA.
Case Western Reserve University · US

Funding

BIOMETRIC-GENETIC ANALYSIS OF CARDIOVASCULAR DISEASET32HL007567 · NHLBI · LOUISIANA STATE UNIV HSC NEW ORLEANS · PI ZHU, XIAOFENG · 1985 to 2021
$6.0M
NHLBI NIH HHS T32 HL007567
6 · The paper itself

Abstract

objectiveI sought to determine how medical comorbidities co-exist with incident psychiatric condition.

methodI used data from all 11 available waves (1992-2012) of the Health and Retirement Study (HRS). I identified 4,358 index participants with self-reported incident psychiatric condition. I collected comorbidity data from participants preceding, including, and succeeding that incident wave. Comorbidities assessed included high blood pressure (HBP), diabetes mellitus, cancer, lung disease, heart disease, stroke, and arthritis. Modified Poisson regression combined with log-linked binomial regression was used to estimate relative risks (RRs) of reporting a comorbidity preceding and following the incident wave. Multiple comparison testing dictated significance of RRs with

resultsFor the waves preceding the index wave, the RRs of reporting all comorbidities except HBP and cancer were significantly (

conclusionThe bidirectional association between a psychiatric condition and medical illnesses could only be statistically confirmed for lung disease, diabetes, and heart disease. It is of interest to determine how reporting a psychiatric condition may affect the sequelae of health care use and treatment outcomes for patients with either of these comorbidities or a combination of them.

Indexed as

comorbiditydiabetes mellitusheart diseaselung diseasemultimorbiditypsychiatric condition

Identifiers

PMID28008416
PMCPMC5172455
OpenAlexW2308505439

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.