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Health Promotion Journal of Australia Health Promotion Journal of Australia Society
Journal of the Australian Health Promotion Association
RESEARCH ARTICLE

Familial risk for lifestyle-related chronic diseases: can family health history be used as a motivational tool to promote health behaviour in young adults?

I. Prichard A B F , A. Lee C , A. D. Hutchinson D and C. Wilson B E
+ Author Affiliations
- Author Affiliations

A School of Health Sciences, Flinders University, GPO Box 2100, Adelaide, SA 5001, Australia.

B Flinders Centre for Innovation in Cancer, Flinders University, Adelaide, SA 5001, Australia.

C School of Psychology, Flinders University, Adelaide, SA 5001, Australia.

D School of Psychology, Social Work and Social Policy, University of South Australia, Adelaide, SA 5001, Australia.

E Cancer Council SA, 202 Greenhill Road, Eastwood, SA 5063, Australia.

F Corresponding author. Email: ivanka.prichard@flinders.edu.au

Health Promotion Journal of Australia 26(2) 122-128 https://doi.org/10.1071/HE14104
Submitted: 10 November 2014  Accepted: 26 May 2015   Published: 16 July 2015

Abstract

Issue addressed: Risk for colorectal cancer, breast cancer, heart disease and diabetes has both a familial and a lifestyle component. This quasi-experimental study aimed to determine whether a Family Health History (FHH) assessment and the subsequent provision of risk information would increase young adults’ (17–29 years) intentions to modify health behaviours associated with the risk of these chronic diseases (i.e. alcohol consumption, fruit and vegetable intake and physical activity) and to talk to their family about their risk.

Methods: After baseline measures of current and intended health-related behaviours, participants (n = 116) were randomly allocated to either a FHH assessment or control information. Based on the FHH provided, participants in the FHH condition were then classified as ‘above-average risk’ or ‘average risk’. One week later, participants were provided with tailored health information and completed follow-up measures of intended health-related behaviours and perceived vulnerability.

Results: Participants classified as ‘above-average risk’ had increased perceptions of vulnerability to a chronic disease. Despite this, no group differences were found in intentions to change physical activity or fruit and vegetable consumption. Participants with above-average risk reported greater intentions to decrease the frequency of their alcohol consumption than average risk/control participants. In addition, completing a FHH assessment promoted intended communication with family members about chronic disease risk.

Conclusions: FHH assessments may have the greatest value within the family context.

So what?: Future research could examine the impact of providing FHH information to different family members as a health promotion strategy.

Key words: behaviour change, behavioural theory, chronic disease, health behaviours.


References

[1]  World Health Organization. Global status report on noncommunicable diseases 2014. Geneva, Switzerland: World Health Organization; 2014.

[2]  Australian Institute of Health and Welfare. Cancer in Australia: an overview, 2008. Canberra, ACT: Australian Institute of Health and Welfare; 2008. Contract No.: CAN 42.

[3]  Australian Bureau of Statistics. Leading causes of death. Canberra, ACT: Australian Bureau of Statistics; 2010. Contract No.: 3303.0.

[4]  Australian Bureau of Statistics. Diabetes in Australia: a snapshot, 2004–05. Canberra, ACT: Australian Bureau of Statistics; 2006. Contract No.: 4820.0.55.001.

[5]  Hellénius ML, de Faire U, Berglund B, Hamsten A, Krakau I (1993) Diet and exercise are equally effective in reducing risk for cardiovascular disease. Results of a randomized controlled study in men with slightly to moderately raised cardiovascular risk factors. Atherosclerosis 103, 81–91.
Diet and exercise are equally effective in reducing risk for cardiovascular disease. Results of a randomized controlled study in men with slightly to moderately raised cardiovascular risk factors.Crossref | GoogleScholarGoogle Scholar | 8280188PubMed |

[6]  Kushi LH, Byers T, Doyle C, Bandera EV, McCullough M, Gansler T, Andrews K, Thun MJ (2006) American Cancer Society Guidelines on nutrition and physical activity for cancer prevention: reducing the risk of cancer with healthy food choices and physical activity. CA Cancer J Clin 56, 254–81.
American Cancer Society Guidelines on nutrition and physical activity for cancer prevention: reducing the risk of cancer with healthy food choices and physical activity.Crossref | GoogleScholarGoogle Scholar | 17005596PubMed |

[7]  Lykins EL, Graue LO, Brechting EH, Roach AR, Gochett CG, Andrykowski MA (2008) Beliefs about cancer causation and prevention as a function of personal and family history of cancer: a national, population-based study. Psychooncology 17, 967–74.
Beliefs about cancer causation and prevention as a function of personal and family history of cancer: a national, population-based study.Crossref | GoogleScholarGoogle Scholar | 18203236PubMed |

[8]  Acheson LS, Crabtree BF (2004) How do people interpret their family histories of diabetes, coronary disease, or cancer? Ann Fam Med 2, 532–3.
How do people interpret their family histories of diabetes, coronary disease, or cancer?Crossref | GoogleScholarGoogle Scholar | 15576536PubMed |

[9]  Valdez R, Yoon PW, Liu T, Khoury MJ (2007) Family history and prevalence of diabetes in the U.S. population: the 6-year results from the National Health and Nutrition Examination Survey (1999–2004). Diabetes Care 30, 2517–22.
Family history and prevalence of diabetes in the U.S. population: the 6-year results from the National Health and Nutrition Examination Survey (1999–2004).Crossref | GoogleScholarGoogle Scholar | 17634276PubMed |

[10]  Slattery ML, Kerber RA (1993) A comprehensive evaluation of family history and breast cancer risk: the Utah Population Database. JAMA 270, 1563–8.
A comprehensive evaluation of family history and breast cancer risk: the Utah Population Database.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK3szotF2lsw%3D%3D&md5=a5b07d44ed82579480eec0bd9a938972CAS | 8371466PubMed |

[11]  Slattery ML, Kerber RA (1994) Family history of cancer and colon cancer risk: the Utah Population Database. J Natl Cancer Inst 86, 1618–26.
Family history of cancer and colon cancer risk: the Utah Population Database.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK2M%2FhvVensw%3D%3D&md5=6eaa0b0ed7338bc15c25ca05d11c3307CAS | 7932826PubMed |

[12]  Williams RR, Hunt SC, Heiss G, Province MA, Bensen JT, Higgins M, Chamberlain RM, Ware J, Hopkins PN (2001) Usefulness of cardiovascular family history data for population-based preventive medicine and medical research (the Health Family Tree Study and the NHLBI Family Heart Study). Am J Cardiol 87, 129–35.
Usefulness of cardiovascular family history data for population-based preventive medicine and medical research (the Health Family Tree Study and the NHLBI Family Heart Study).Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD3M7gvVyhtg%3D%3D&md5=feb240ed157e7649141b4f61afa8bce2CAS | 11152826PubMed |

[13]  Guttmacher AE, Collins FS, Carmona RH (2004) The family history – more important than ever. N Engl J Med 351, 2333–6.
The family history – more important than ever.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2cXhtValtrrM&md5=e953375bbb5ba277e712a5754ea5315aCAS | 15564550PubMed |

[14]  Ruffin MT IV, Nease DE Jr, Sen A, Pace WD, Wang C, Acheson LS, Rubinstein WS, O’Neill S, Gramling R (2011) Effect of preventive messages tailored to family history on health behaviors: the Family Healthware Impact Trial. Ann Fam Med 9, 3–11.
Effect of preventive messages tailored to family history on health behaviors: the Family Healthware Impact Trial.Crossref | GoogleScholarGoogle Scholar |

[15]  Williams RR, Hunt SC, Barlow GK, Chamberlain RM, Weinberg AD, Cooper HP, Carbonari JP, Gotto AM Jr (1988) Health family trees: a tool for finding and helping young family members of coronary and cancer prone pedigrees in Texas and Utah. Am J Public Health 78, 1283–6.
Health family trees: a tool for finding and helping young family members of coronary and cancer prone pedigrees in Texas and Utah.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaL1czjvVyguw%3D%3D&md5=2338b434ff678667026feb3de8c69ea6CAS | 3421383PubMed |

[16]  Molster C, Kyne G, O’Leary P (2011) Motivating intentions to adopt risk-reducing behaviours for chronic diseases: Impact of a public health tool for collecting family health histories. Health Promot J Austr 22, 57–62.

[17]  Ponder M, Lee J, Green J, Richards M (1996) Family history and perceived vulnerability to some common diseases: a study of young people and their parents. J Med Genet 33, 485–92.
Family history and perceived vulnerability to some common diseases: a study of young people and their parents.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK28znsFOlsg%3D%3D&md5=40a23d80e0c66851103bd709e2aa0540CAS | 8782049PubMed |

[18]  Rosenstock IM (1974) The Health Belief Model and preventive health behavior. Health Educ Behav 2, 354–86.

[19]  Abraham C, Sheeran P. The Health Belief Model. In Conner M, Norman P, editors. Predicting health behaviour, 2nd edn (pp. 28–80). Maidenhead, UK: Open University Press; 2005.

[20]  Abraham C, Sheeran P. The Health Belief Model. In Ayers S, Baum A, McManus C, Newman S, Wallston, K, Weinman J, West R, editors. Cambridge handbook of psychology, health and medicine, 2nd edn (pp. 97–101). Cambridge, UK: Cambridge University Press; 2007.

[21]  Kreuter MW, Strecher VJ (1996) Do tailored behavior change messages enhance the effectiveness of health risk appraisal? Results from a randomized trial. Health Educ Res 11, 97–105.
Do tailored behavior change messages enhance the effectiveness of health risk appraisal? Results from a randomized trial.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK28zmvVeqtQ%3D%3D&md5=13b7a972a42483a8bad2c4f595fd6c01CAS | 10160231PubMed |

[22]  Engs RC. The student alcohol questionnaire 1975 [26 March 2011]. Available from: http://www.indiana.edu/~engs/quest/saq.html [Verified 23 June 2015].

[23]  Gerrard M, Gibbons FX, Bushman BJ (1996) Relation between perceived vulnerability to HIV and precautionary sexual behavior. Psychol Bull 119, 390–409.
Relation between perceived vulnerability to HIV and precautionary sexual behavior.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK283itVGlsA%3D%3D&md5=8dfded04266fcef6f406e1665cd510b5CAS | 8668745PubMed |

[24]  iSource National Breast Cancer Centre. Clinical practice guidelines: management of early breast cancer. National Health and Medical Research Council. 2001. Available from: http://www.nhmrc.gov.au/_files_nhmrc/publications/attachments/cp74.pdf [Verified 23 June 2015].

[25]  National Vascular Disease Prevention Alliance. Guidelines for the assessment of absolute cardiovascular disease risk. 2009. Available from: http://www.heartfoundation.org.au/SiteCollectionDocuments/guidelines-Absolute-risk.pdf [Verified 25 June 2015].

[26]  Australian Cancer Network Colorectal Cancer Guidelines Revision Committee. Guidelines for the prevention, early detection and management of colorectal cancer. Sydney, NSW: The Cancer Council Australia and Australian Cancer Network; 2005.

[27]  Australian Centre for Diabetes Strategies. National evidence based guidelines for the management of type 2 diabetes mellitus part 3: case detection and diagnosis of type 2 diabetes. Prince of Wales Hospital, Sydney, NSW: National Health and Medical Research Council; 2001.

[28]  Baron RM, Kenny DA (1986) The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol 51, 1173–82.
The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaL2s7ht1SrsQ%3D%3D&md5=9ba9bc4c5bf048697d76a49868857c36CAS | 3806354PubMed |

[29]  Hanson C, Novilla L, Barnes M, De La Cruz N, Meacham A (2007) Using family health history for chronic disease prevention in the age of genomics. Am J Health Educ 38, 219–29.
Using family health history for chronic disease prevention in the age of genomics.Crossref | GoogleScholarGoogle Scholar |

[30]  Steinberg L, Graham S, O’Brien L, Woolard J, Cauffman E, Banich M (2009) Age differences in future orientation and delay discounting. Child Dev 80, 28–44.
Age differences in future orientation and delay discounting.Crossref | GoogleScholarGoogle Scholar | 19236391PubMed |

[31]  Arnocky S, Milfont TL, Nicol JR (2014) Time perspective and sustainable behavior: evidence for the distinction between consideration of immediate and future consequences. Environ Behav 46, 556–82.
Time perspective and sustainable behavior: evidence for the distinction between consideration of immediate and future consequences.Crossref | GoogleScholarGoogle Scholar |

[32]  Kaphingst KA, Goodman M, Pandya C, Garg P, Stafford J, Lachance C (2012) Factors affecting frequency of communication about family health history with family members and doctors in a medically underserved population. Patient Educ Couns 88, 291–7.
Factors affecting frequency of communication about family health history with family members and doctors in a medically underserved population.Crossref | GoogleScholarGoogle Scholar | 22197261PubMed |