Literature DB >> 26845048

Utilizing Genomics through Family Health History with the Theory of Planned Behavior: Prediction of Type 2 Diabetes Risk Factors and Preventive Behavior in an African American Population in Florida.

Cynthia Seaborn1, Sandra Suther, Torhonda Lee, Gebre-Egziabher Kiros, Alan Becker, Ellen Campbell, Jackie Collins-Robinson.   

Abstract

AIM: African Americans are disproportionately affected by type 2 diabetes. The purpose of this study was to assess to what extent African Americans' knowledge and awareness of family health history and related risk factors for developing type 2 diabetes influence their likelihood of adopting a preventive behavior.
METHODS: This study employed an anonymous pencil-and-paper, self-administered survey consisting of two sections. Section 1 was a modified version of the US Surgeon General's Family Health History Initiative and the American Diabetes Association Diabetes Risk Factor Survey. Section 2 of the survey was based on the constructs of the theory of planned behavior. Over 394 African American participants completed the survey.
RESULTS: 'Perceived behavioral control' was the strongest predictor of 'likelihood of adopting preventive behavior'. Participants were aware of their family history as a risk factor for type 2 diabetes, but it was not a significant predictor of behavior modifications based on that knowledge.
CONCLUSION: The lack of perceived risk in this population shows the importance of not only knowing one's risk factors but translating those risk factors to a more personalized form that fits into the current lifestyle of the individual in a meaningful way.
© 2016 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2016        PMID: 26845048     DOI: 10.1159/000443471

Source DB:  PubMed          Journal:  Public Health Genomics        ISSN: 1662-4246            Impact factor:   2.000


  3 in total

1.  Heart disease risk information, encouragement, and physical activity among Mexican-origin couples: Self- or spouse-driven change?

Authors:  Kaley F Skapinsky; Susan Persky; Megan Lewis; Andrea Goergen; Sato Ashida; Hendrik D de Heer; Donald Hadley; Anna V Wilkinson; Laura M Koehly
Journal:  Transl Behav Med       Date:  2018-01-29       Impact factor: 3.046

Review 2.  Personalized Medicine Implementation with Non-traditional Data Sources: A Conceptual Framework and Survey of the Literature.

Authors:  Casey Overby Taylor; Peter Tarczy-Hornoch
Journal:  Yearb Med Inform       Date:  2019-08-16

3.  ACE gene haplotypes and social networks: Using a biocultural framework to investigate blood pressure variation in African Americans.

Authors:  Kia C Fuller; Christopher McCarty; Cynthia Seaborn; Clarence C Gravlee; Connie J Mulligan
Journal:  PLoS One       Date:  2018-09-18       Impact factor: 3.240

  3 in total

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