ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2018
Disparities in women's cancer-related quality of life by Southern Appalachian residence.
Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
3 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Associations between IPV and non-communicable diseases: a systematic review.BMC public health · 2025Pooled it
- Psychosocial well-being and supportive care needs of cancer patients and survivors living in rural or regional areas: a systematic review from 2010 to 2021.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022Pooled it
- Functional Disability Among Older Versus Younger Adults With Advanced Non-Small-Cell Lung Cancer.JCO oncology practice · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
purposeThe purpose was to determine whether Appalachian residence alone or in combination with violence was linked to poorer quality of life (QOL).
methodsWomen recently diagnosed and included in either the Kentucky or North Carolina Cancer Registries were interviewed by phone between 2009 and 2015 (n = 3320; mean age = 56.74). Response rates were similar by state (40.1 in Kentucky and 40.9% in North Carolina). Appalachian (N = 990) versus non-Appalachian residents (N = 2330) were hypothesized to have poorer QOL defined as (a) lower Functional Assessment of Cancer Therapy-General (FACT-G) scores and (b) more symptoms of depression, stress, or comorbid physical conditions. Lifetime intimate partner or sexual violence was first investigated as a moderator then mediator of regional differences. Multiple analyses of covariance (MANCOVA) models were used.
resultsViolence modified the effect of Appalachian residence on poorer QOL outcomes; FACT-G total scores (p = .02) were lowest for women living in Appalachia who had additionally experienced violence. Socioeconomic indicators appeared to mediate or explain differences in QOL outcomes by Appalachian residence such that when adjusting for income, education and insurance, Appalachian residence remained associated only with poorer physical QOL outcomes (p < .05).
conclusionsWhile violence rates did not differ by residence, the combined effect of living in Appalachia and experiencing violence resulted in significantly greater impact on poorer QOL among women recently diagnosed with cancer. Clinical consideration of patients' residence, socioeconomic status and violence experienced may help identify and mitigate the longer-term impact of these identifiable factors associated with poorer QOL.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.