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Explanatory Models of Genetics and Genetic Risk among a Selected Group of Students

Overview of attention for article published in Frontiers in Public Health, June 2016
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Title
Explanatory Models of Genetics and Genetic Risk among a Selected Group of Students
Published in
Frontiers in Public Health, June 2016
DOI 10.3389/fpubh.2016.00111
Pubmed ID
Authors

Heather Honoré Goltz, Margo Bergman, Patricia Goodson

Abstract

This exploratory qualitative study focuses on how college students conceptualize genetics and genetic risk, concepts essential for genetic literacy (GL) and genetic numeracy (GN), components of overall health literacy (HL). HL is dependent on both the background knowledge and culture of a patient, and lower HL is linked to increased morbidity and mortality for a number of chronic health conditions (e.g., diabetes and cancer). A purposive sample of 86 students from three Southwestern universities participated in eight focus groups. The sample ranged in age from 18 to 54 years, and comprised primarily of female (67.4%), single (74.4%), and non-White (57%) participants, none of whom were genetics/biology majors. A holistic-content approach revealed broad categories concerning participants' explanatory models (EMs) of genetics and genetic risk. Participants' EMs were grounded in highly contextualized narratives that only partially overlapped with biomedical models. While higher education levels should be associated with predominately knowledge-based EM of genetic risk, this study shows that even in well-educated populations cultural factors can dominate. Study findings reveal gaps in how this sample of young adults obtains, processes, and understands genetic/genomic concepts. Future studies should assess how individuals with low GL and GN obtain and process genetics and genetic risk information and incorporate this information into health decision making. Future work should also address the interaction of communication between health educators, providers, and genetic counselors, to increase patient understanding of genetic risk.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 11%
Student > Doctoral Student 4 11%
Student > Master 4 11%
Researcher 4 11%
Lecturer 3 8%
Other 6 16%
Unknown 13 34%
Readers by discipline Count As %
Social Sciences 5 13%
Medicine and Dentistry 5 13%
Psychology 4 11%
Nursing and Health Professions 2 5%
Arts and Humanities 2 5%
Other 6 16%
Unknown 14 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 June 2016.
All research outputs
#20,716,759
of 23,316,003 outputs
Outputs from Frontiers in Public Health
#8,014
of 10,846 outputs
Outputs of similar age
#295,069
of 342,262 outputs
Outputs of similar age from Frontiers in Public Health
#78
of 79 outputs
Altmetric has tracked 23,316,003 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,846 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.