ArticleJournal of behavioral medicine2011
Personal attributions for melanoma risk in melanoma-affected patients and family members.
Article in Journal of behavioral medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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
8 citing papers in PubMed, 15 citations in OpenAlex.
- Correlates of Sun Protection and Sunburn in Children of Melanoma Survivors.American journal of preventive medicine · 2016Trial
- Randomized controlled trial of a sun protection intervention for children of melanoma survivors.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2013Trial
- How are multifactorial beliefs about the role of genetics and behavior in cancer causation associated with cancer risk cognitions and emotions in the US population?Psycho-oncology · 2018Article
- "I don't believe it." Acceptance and skepticism of genetic health information among African-American and White smokers.Social science & medicine (1982) · 2017Article
- What women think: cancer causal attributions in a diverse sample of women.Journal of psychosocial oncology · 2015Article
- Barriers to risk-understanding and risk-reduction behaviors among individuals with a family history of melanoma.Melanoma management · 2014Review
- Perceived risk for breast cancer and its relationship to mammography in Blacks, Hispanics, and Whites.Journal of behavioral medicine · 2013Article
- Communication by mothers with breast cancer or melanoma with their children.International journal of environmental research and public health · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
Personal attributions for cancer risk involve factors that individuals believe contribute to their risk for developing cancer. Understanding personal risk attributions for melanoma may dictate gene-environment melanoma risk communication strategies. We examined attributions for melanoma risk in a population-based sample of melanoma survivors, first degree family members, and family members who are also parents (N = 939). We conducted qualitative examination of open-ended risk attributions and logistic regression examining predictors (demographics, family member type, perceived risk) of the attributions reported (ultraviolet radiation [UVR] exposure, heredity/genetics, phenotype, personal melanoma history, miscellaneous). We found a predominance of risk attributions to UVR and heredity/genetics (80 and 45% of the sample, respectively). Those reporting higher education levels were more likely to endorse attributions to heredity/genetics, as well as to phenotype, than those of lower education levels. First-degree relatives and parent family members were more likely to endorse heredity/genetic attributions than melanoma survivors; melanoma survivors were more likely to endorse personal history of melanoma attributions compared to first-degree relatives and parent family members. These findings inform the development of risk communication interventions for melanoma families.
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.