Evidence map›Paper›PMID 32361830›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2021

Comparing the roles of social context, networks, and perceived social functioning with health-related quality of life among self-reported rural female cancer survivors.

Leslie R Carnahan, Garth H Rauscher, Karriem S Watson, Susan Altfeld, Kristine Zimmermann, Carol E Ferrans, Yamilé Molina

Abstract read
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2021. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Similarities and differences across the underlying dimensions of social functioning in rural and nonrural cancer survivors: A mixed-methods study.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2023
    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

7 authors.

Leslie R CarnahanDivision of Community Health Sciences, School of Public Health, University of Illinois at Chicago, 1603 W. Taylor St., MC 923, Chicago, IL, 60612, USA. lcarna2@uic.edu.ORCID http://orcid.org/0000-0002-5813-2757
Garth H RauscherDivision of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, 1603 W. Taylor St., MC 923, Chicago, IL, 60612, USA.
Karriem S WatsonDivision of Community Health Sciences, School of Public Health, University of Illinois at Chicago, 1603 W. Taylor St., MC 923, Chicago, IL, 60612, USA.
Susan AltfeldDivision of Community Health Sciences, School of Public Health, University of Illinois at Chicago, 1603 W. Taylor St., MC 923, Chicago, IL, 60612, USA.
Kristine ZimmermannDivision of Community Health Sciences, School of Public Health, University of Illinois at Chicago, 1603 W. Taylor St., MC 923, Chicago, IL, 60612, USA.
Carol E FerransDepartment of Biobehavioral Health Sciences, College of Nursing, University of Illinois at Chicago, 845 S. Damen Ave., Chicago, IL, 60612, USA.
Yamilé MolinaDivision of Community Health Sciences, School of Public Health, University of Illinois at Chicago, 1603 W. Taylor St., MC 923, Chicago, IL, 60612, USA.

Funding

Empowering Latinas to Obtain Breast Cancer ScreeningsK01CA193918 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MOLINA, YAMILE · 2016 to 2020
$729k
NCI NIH HHS K01 CA193918
6 · The paper itself

Abstract

purposeRural women, compared to urban, experience worse survivorship outcomes, including poorer health-related quality of life (QOL). There is a need to characterize the role of multilevel social factors that contribute to QOL, including context, networks, and functioning. Our objectives were to (1) use latent class analysis to identify distinct classes of social context and social networks and (2) examine how multilevel social factors (context, networks, and functioning) are associated with health-related QOL.

methodsWe recruited self-identified rural survivors to the Illinois Rural Cancer Assessment (2017-2018), via community-based sampling methods, and participants completed the survey online, by phone, or on paper. We used latent class analysis to generate multidimensional variables for contextual and network factors. We next modeled each social factor sas a predictor in separate, bivariable linear regressions for the QOL outcomes, followed by multivariable, adjusted regressions.

resultsFor our first objective, there were three classes each of county-level contexts (1, highly rural, socioeconomically disadvantaged, and mostly lacking in cancer-related services; 2, mostly rural, moderately disadvantaged, and underserved; 3, mostly metropolitan, less disadvantaged, and most-resourced) and social networks (1, no caregivers; 2, only spousal caregivers with whom they communicated daily; 3, multiple caregivers with varying daily communication). For our second objective, among all social factors, only functioning was associated with better mental health-related QOL. No factors were associated with physical health-related QOL.

conclusionsOur findings suggest a rich diversity of social context and networks among rural female cancer survivors, and social functioning is particularly important for mental health-related QOL.

Indexed as

Social SupportAgedAged, 80 and overCancer SurvivorsCaregiversFemaleHumansMiddle AgedNeoplasmsQuality of LifeRural PopulationSelf ReportSocial AdjustmentSocial EnvironmentSurveys and QuestionnairesSurvivorshipCancer survivorsLatent class analysesQuality of lifeRural healthSociological factors

Identifiers

PMID32361830
PMCPMC7606329

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Registered trials

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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 OpenQuestion graph.