278
Views
0
CrossRef citations to date
0
Altmetric
Articles

What Motivates Individuals to Get Obesity Related Direct-To-Consumer Genetic Tests? A Reasoned Action Approach

ORCID Icon &
Pages 356-365 | Received 24 Apr 2019, Accepted 03 Jun 2019, Published online: 04 Oct 2019

References

  • Flegal KM, Kruszon-Moran D, Carroll MD, et al. Trends in obesity among adults in the United States, 2005 to 2014. JAMA. 2016;315(21):2284–2291. doi:10.1001/jama.2016.6458.
  • Daviglus ML. Relation of body mass index in young adulthood and middle age to Medicare expenditures in older age. JAMA. 2004;292(22):2743–2749. doi:10.1001/jama.292.22.2743.
  • Woo JG, Cole TJ. Assessing adiposity using BMI z-Score in children with severe obesity. Obesity. 2017;25(4):662. doi:10.1002/oby.21800.
  • Hernandez LM, Blazer DG. Genes, Behavior, and the Social Environment Moving beyond the Nature/Nurture Debate. Washington, DC: National Academies Press; 2006.
  • Verdich C, Clement K, Sorensen T. Nutrient-gene interactions contributing to the development of obesity. In: David JM, ed. Food, Diet and Obesity. New Delhi, IN: Woodhead Publishing; 2005:17–47.
  • Covolo L, Rubinelli S, Ceretti E, et al. Internet-based direct-to-consumer genetic testing: a systematic review. J Med Internet Res. 2015;17(12):e279. doi:10.2196/jmir.4378.
  • Saukko P. State of play in direct-to-consumer genetic testing for lifestyle-related diseases: market, marketing content, user experiences and regulation. Proc Nutr Soc. 2013;72(1):53–60. doi:10.1017/s0029665112002960.
  • Frosch DL. Behavioral consequences of testing for obesity risk. Cancer Epidemiol Biomarkers Prev. 2005;14(6):1485–1489. doi:10.1158/1055-9965.epi-04-0913.
  • Marteau TM. Genetic risk and behavioral change. BMJ. 2001;322(7293):1056–1059. doi:10.1136/bmj.322.7293.1056.
  • Marteau T, Senior V, Humphries SE, et al. Psychological impact of genetic testing for familial hypercholesterolemia within a previously aware population: a randomized controlled trial. Am J Med Genet A. 2004;128A(3):285–293. doi:10.1002/ajmg.a.30102.
  • Wang C, Gordon ES, Stack CB, et al. A randomized trial of the clinical utility of genetic testing for obesity: design and implementation considerations. Clin Trials. 2014;11(1):102–113. doi:10.1177/1740774513508029.
  • Mehnert A, Bergelt C, Koch U. Knowledge and attitudes of gynecologists regarding genetic counseling for hereditary breast and ovarian cancer. Patient Educ Couns. 2003;49(2):183–188. doi:10.1016/s0738-3991(02)00117-9.
  • Janssens ACJ, Gwinn M, Bradley LA, et al. A critical appraisal of the scientific basis of commercial genomic profiles used to assess health risks and personalize health interventions. Am J Hum Genet. 2008;82(3):593–599. doi:10.1016/j.ajhg.2007.12.020.
  • Zielinski SL. As genetic tests move into the mainstream, challenges await for doctors and patients. J Natl Cancer Inst. 2005;97(5):334–336. doi:10.1093/jnci/97.5.334.
  • Lohmann K, Klein C. Next generation sequencing and the future of genetic diagnosis. Neurotherapeutics. 2014;11(4):699–707. doi:10.1007/s13311-014-0288-8.
  • O’Leary P, Zimmern R. Genomics and public health: translating research into public benefit. Public Health Genomics. 2010;13(4):193–196. doi:10.1159/000279620.
  • Caulfield T, Borry P, Toews M, et al. Marginally scientific? genetic testing of children and adolescents for lifestyle and health promotion. J Law Biosci. 2015;2(3):627–644. doi:10.1093/jlb/lsv038.
  • Chalela P, Pagán JA, Su D, et al. Breast cancer genetic testing awareness, attitudes and intentions of Latinas living along the US-Mexico border: a qualitative study. J Community Med Health Educ. 2012;2:1000152. doi:10.4172/2161-0711.1000152.
  • Kessler L, Collier A, Brewster K, et al. Attitudes about genetic testing and genetic testing intentions in African American women at increased risk for hereditary breast cancer. Genet Med. 2005;7(4):230–238. doi:10.1097/01.gim.0000159901.98315.fe.
  • Freedman AN, Wideroff L, Olson L, et al. US physicians’ attitudes toward genetic testing for cancer susceptibility. Am J Med Genet A. 2003;120A(1):63–71. doi:10.1002/ajmg.a.10192.
  • Ramirez AG, Chalela P, Gallion KJ, et al. Attitudes toward breast cancer genetic testing in five special population groups. J Health Dispar Res Pract. 2015;8(4):124–135.
  • Fishbein M, Ajzen I. Predicting and Changing Behavior: The Reasoned Action Approach. New York, NY: Psychology Press; 2010.
  • Mceachan R, Taylor N, Harrison R, et al. Meta-analysis of the reasoned action approach (RAA) to understanding health behaviors. Ann Behav Med. 2016;50(4):592–612. doi:10.1007/s12160-016-9798-4.
  • Baranowski T, Cullen KW, Nicklas T, et al. Are current health behavioral change models helpful in guiding prevention of weight gain efforts? Obes Res. 2003;11(Suppl):S23–S43. doi:10.1038/oby.2003.222.
  • Cohen J. Statistical Power Analysis for the Behavioral Sciences. New York, NJ: Psychology Press; 2009.
  • Carpenter MJ, Strange C, Jones Y, et al. Does genetic testing result in behavioral health change? Changes in smoking behavior following testing for alpha-1 antitrypsin deficiency. Ann Behav Med. 2007;33(1):22–28. doi:10.1207/s15324796abm3301_3.
  • Heshka JT, Palleschi C, Howley H, et al. A systematic review of perceived risks, psychological and behavioral impacts of genetic testing. Genet Med. 2008;10(1):19–32. doi:10.1097/gim.0b013e31815f524f.
  • Steinmetz H, Knappstein M, Ajzen I, et al. How effective are behavior change interventions based on the theory of planned behavior? A three-level meta-analysis. Z Psychol. 2016;224:216–233. doi:10.1027/2151-2604/a000255.
  • Branscum P, Lora K. Using the integrative behavioral model to predict monitoring of fruit and vegetable consumption among Hispanic mothers. Fam Community Health. 2017;40(1):32–38. doi:10.1097/fch.0000000000000130.
  • Branscum P, Bhochhibhoya A. Exploring gender differences in predicting physical activity among elementary aged children: an application of the integrated behavioral model. Am J Health Educ. 2016;47(4):234–242. doi:10.1080/19325037.2016.1178608.
  • Buhi ER, Goodson P, Neilands TB, et al. Adolescent sexual abstinence: a test of an integrative theoretical framework. Health Educ Behav. 2011;38(1):63–79. doi:10.1177/1090198110375036.
  • Housely A, Branscum P, Cheney M, et al. Predicting parental monitoring behaviors for sugar-sweetened beverages in parents of school-aged children: an application of the integrative behavioral model. Health Educ J. 2015;75(5):577–588. doi:10.1177/0017896915607918.
  • Coalition for Genetic Fairness. Faces of genetic discrimination how genetic discrimination affects real people. National Partnership for Women & Families. http://go.nationalpartnership.org/site/DocServer/FacesofGeneticDiscrimination.pdf. Published July, 2004. Accessed May 29, 2019.
  • Eaton DK, Kann L, Kinchen S, et al. Youth risk behavior surveillance: united States, 2007. MMWR Surveill Summ. 2008;57(SS04):1–131.
  • Kaiwar C, Mcallister TM, Lazaridis KN, et al. Preemptive sequencing in the genomic medicine era. Expert Rev Precis Med Drug Dev. 2017;2(2):91–98. doi:10.1080/23808993.2017.1322898.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.