Evidence map›Paper›PMID 26679491›Full record

ArticlePreventing chronic disease2015

Patterns of Chronic Conditions and Their Associations With Behaviors and Quality of Life, 2010.

John P Barile, Sandra A Mitchell, William W Thompson, Matthew M Zack, Bryce B Reeve, David Cella, Ashley Wilder Smith

Abstract read
In one paragraph

Article in Preventing chronic disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 4 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

11 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  11. Predictors of health-related quality of life and association with survival may identify colorectal cancer patients at high risk of poor prognosis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2017
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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

7 authors.

John P BarileDepartment of Psychology, University of Hawai'i at Mānoa, 2530 Dole St, Sakamaki C400, Honolulu, HI 96822. Email: Barile@hawaii.edu.
Sandra A MitchellNational Cancer Institute, Rockville, Maryland.
William W ThompsonCenters for Disease Control and Prevention, Atlanta, Georgia.
Matthew M ZackCenters for Disease Control and Prevention, Atlanta, Georgia.
Bryce B ReeveUniversity of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
David CellaNorthwestern University, Chicago, Illinois.
Ashley Wilder SmithNational Cancer Institute, Rockville, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCo-occurring chronic health conditions elevate the risk of poor health outcomes such as death and disability, are associated with poor quality of life, and magnify the complexities of self-management, care coordination, and treatment planning. This study assessed patterns of both singular and multiple chronic conditions, behavioral risk factors, and quality of life in a population-based sample.

methodsIn a national survey, adults (n = 4,184) answered questions about the presence of 27 chronic conditions. We used latent class analysis to identify patterns of chronic conditions and to explore associations of latent class membership with sociodemographic characteristics, behavioral risk factors, and health.

resultsLatent class analyses indicated 4 morbidity profiles: a healthy class (class 1), a class with predominantly physical health conditions (class 2), a class with predominantly mental health conditions (class 3), and a class with both physical and mental health conditions (class 4). Class 4 respondents reported significantly worse physical health and well-being and more days of activity limitation than those in the other latent classes. Class 4 respondents were also more likely to be obese and sedentary, and those with predominantly mental health conditions were most likely to be current smokers.

conclusionsSubgroups with distinct patterns of chronic conditions can provide direction for screening and surveillance, guideline development, and the delivery of complex care services.

Indexed as

Chronic DiseaseHealth BehaviorQuality of LifeAdolescentAdultAgedFemaleHealth StatusHumansMaleMental HealthMiddle AgedObesityRisk FactorsSedentary BehaviorSelf Care

Identifiers

PMID26679491
PMCPMC5241639

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.