Evidence map›Paper›PMID 35769866›Full record

ArticleJournal of Appalachian health2020

Skin Cancer and UV Exposure-Related Behaviors Among Appalachian and Non-Appalachian Adults.

Minal Patel, Katrina J Serrano, Elise L Rice, Chan L Thai, Kelly D Blake, Robin C Vanderpool

Abstract read
In one paragraph

Article in Journal of Appalachian health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Minal PatelSchroeder Institute, Truth Initiative.
Katrina J SerranoNational Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health.
Elise L RiceNational Institute of Dental and Craniofacial Research, National Institutes of Health.
Chan L ThaiDepartment of Communication, Santa Clara University.
Kelly D BlakeBehavioral Research Program, National Cancer Institute, National Institutes of Health.
Robin C VanderpoolBehavioral Research Program, National Cancer Institute, National Institutes of Health.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Appalachian communities experience elevated rates of cancer incidence and mortality relative to other regions in the U.S. Specifically, melanoma mortality rates are higher in Appalachia compared to the national average, despite comparable incidence rates. Purpose: To examine differences in self-reported history of skin cancer and prevalence of two UV exposure behaviors between Appalachian and non-Appalachian adults in a nationally representative sample. Methods: Data are from four cross-sectional cycles of the Health Information National Trends Survey (2011-2014) (N=14,451). We examined sunscreen use and tanning bed use, and self-reported history of melanoma and non-melanoma skin cancer. Descriptive and weighted multivariable analyses were conducted to examine sunscreen and tanning bed use, controlling for sociodemographic characteristics. Results: Approximately 8% of the study sample resided in Appalachia (n=1,015). Self-reported melanoma (0.6%) and non-melanoma (3.2%) skin cancer histories were low among Appalachians and did not differ statistically from non-Appalachians ( Implications: Appalachians had comparable histories of self-reported melanoma and non-melanoma skin cancer but were less likely to report sunscreen use than non-Appalachians. Enhanced communication efforts to promote sunscreen use and other UV protection behaviors in Appalachia may be valuable.

Indexed as

Appalachian regionskin cancersunscreentanning bedUV exposure

Identifiers

PMID35769866
PMCPMC9138723

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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.