Incorporating the ‘Theory of Planned Behavior’ Into Personalized Healthcare Behavior Change Research: A Call to Action

References

• Ajzen I . The theory of planned behavior . Orgnizational Behav. Hum. Decis. Process50 , 179 – 211 ( 1991 ).
   Web of Science ®Google Scholar
• Ajzen I . Icek Ajzen: theory of planned behavior ( 2006 ). http://people.umass.edu/aizen/tpb.html .
   Google Scholar
• Fishbein M , AjzenI . Predicting and Changing Behavior: The Reasoned Action Approach . Taylor & Francis Group Ltd , NY, USA ( 2010 ).
   Google Scholar
• Mceachan R , HonsBA , TaylorN , GardnerP , ConnerM . Meta-analysis of the reasoned action approach (RAA) to understanding health behaviors . Ann. Behav. Med.50 ( 4 ), 592 – 612 ( 2016 ).
   PubMed Web of Science ®Google Scholar
• Ajzen I . The theory of planned behaviour: reactions and reflections . Psychol. Health26 ( 9 ), 1113 – 1127 ( 2011 ).
   PubMed Web of Science ®Google Scholar
• Rivis A , SheeranP . Descriptive norms as an additional predictor in the theory of planned behaviour: a meta-analysis . Curr. Psychol.22 ( 3 ), 218 – 233 ( 2003 ).
   Web of Science ®Google Scholar
• Armitage CJ , ConnerM . Efficacy of the theory of planned behaviour: a meta-analytic review . Br. J. Soc. Psychol.40 ( Pt 4 ), 471 – 499 ( 2001 ).
   PubMed Web of Science ®Google Scholar
• Cheung SF , ChanD . The role of perceived behavioral control in predicting human behavior: a meta-analytic review of studies on the theory of planned behavior . Chinese University Hong Kong ( 2000 ) ( Unpublished ).
   Google Scholar
• McEachan RRC , ConnerM , TaylorNJ , LawtonRJ . Prospective prediction of health-related behaviours with the theory of planned behaviour: a meta-analysis . Health Psychol. Rev.5 ( 2 ), 97 – 144 ( 2011 ).
   Web of Science ®Google Scholar
• Notani A . Moderators of perceived behavioral control’s predictiveness in the theory of planned behavior: a meta-analysis . J. Consum. Psychol.7 ( 3 ), 247 – 271 ( 1998 ).
   Google Scholar
• Schulze R , WittmannW . A meta-analysis of the theory of reasoned action and the theory of planned behavior: the principle of compatibility and multidimensionality of beliefs as moderators . In : Meta-Analysis: New Developments and Applications in Medical and Social Sciences . SchulzeR . HollingH . BohningD ( Eds ). Hogrefe & Huber Ltd. , WA, USA , 219 – 250 ( 2003 ).
   Google Scholar
• Cooke R , DahdahM , NormanP , FrenchDP . How well does the theory of planned behaviour predict alcohol consumption? A systematic review and meta-analysis . Health. Psychol. Rev.10 ( 2 ), 148 – 167 ( 2016 ).
   PubMed Web of Science ®Google Scholar
• Andrew BJ , MullanBA , WitDet al. Does the theory of planned behaviour explain condom use behaviour among men who have sex with men? A meta-analytic review of the literature . AIDS Behav.20 ( 12 ), 2834 – 2844 ( 2016 ).
   PubMed Web of Science ®Google Scholar
• Rich A , BrandesK , MullanB , HaggerMS , RichA . Theory of planned behavior and adherence in chronic illness: a meta-analysis . J. Behav. Med.38 ( 4 ), 673 – 688 ( 2015 ).
   PubMed Web of Science ®Google Scholar
• Mcdermott MS , OliverM , SimnadisTet al. The theory of planned behaviour and dietary patterns: a systematic review and meta-analysis . Prev. Med.81 , 150 – 156 ( 2015 ).
   PubMed Web of Science ®Google Scholar
• Nielsen DE , El-SohemyA . Disclosure of genetic information and change in dietary intake: a randomized controlled trial . PLoS ONE9 ( 11 ), e112665 ( 2014 ).
   PubMed Web of Science ®Google Scholar
• Nielsen DE , ShihS , El-SohemyA . Perceptions of genetic testing for personalized nutrition: a randomized trial of DNA-based dietary advice . J. Nutrigenet. Nutrigenomics7 ( 2 ), 94 – 104 ( 2014 ).
   PubMedGoogle Scholar
• Celis-Morales C , LivingstoneKM , MarsauxCFMet al. Design and baseline characteristics of the Food4Me study: a web-based randomised controlled trial of personalised nutrition in seven European countries . Genes Nutr.10 ( 1 ), 450 ( 2015 ).
   PubMed Web of Science ®Google Scholar
• Hendershot CS , OttoJM , CollinsSE , LiangT , WallTL . Evaluation of a brief web-based genetic feedback intervention for reducing alcohol-related health risks associated with ALDH2 . Ann. Behav. Med.40 ( 1 ), 77 – 88 ( 2010 ).
   PubMed Web of Science ®Google Scholar
• Marsaux CFM , Celis-MoralesC , LivingstoneKMet al. Changes in physical activity following a genetic-based internet-delivered personalized intervention: randomized controlled trial (Food4Me) . J. Med. Internet Res.18 ( 2 ), 1 – 15 ( 2016 ).
   Web of Science ®Google Scholar
• Hishida A , TerazawaT , MamiyaTet al. Efficacy of genotype notification to Japanese smokers on smoking cessation: an intervention study at workplace . Cancer Epidemiol.34 ( 1 ), 96 – 100 ( 2010 ).
   PubMed Web of Science ®Google Scholar
• Bloss CS , SchorkNJ , TopolEJ . Effect of direct-to-consumer genomewide profiling to assess disease risk . N. Engl. J. Med.364 ( 6 ), 524 – 534 ( 2011 ).
   PubMed Web of Science ®Google Scholar
• Roke K , WaltonK , KlingelSet al. Evaluating changes in omega-3 fatty acid intake after receiving personal FADS1 genetic information: a randomized nutrigenetic intervention . Nutrients9 ( 3 ), 240 ( 2017 ).
   PubMed Web of Science ®Google Scholar
• Middlemass J , DavyZ , CavanaghKet al. Integrating online communities and social networks with computerised treatment for insomnia . Br. J. Gen. Pract.62 ( 605 ), E840 – E850 ( 2012 ).
   PubMed Web of Science ®Google Scholar
• Denison FC , ReaderM , HealthFet al. Physical activity in pregnant women with class III obesity: a qualitative exploration of attitudes and behaviours . Midwifery31 ( 12 ), 1163 – 1167 ( 2015 ).
   PubMed Web of Science ®Google Scholar
• Kattel S , OnyekweluT , BrownS-A , JouniH , AustinE , KulloIJ . Motivation, perception, and treatment beliefs in the myocardial infarction genes (MI-GENES) randomized clinical trial . J. Genet. Couns. doi:10.1007/s10897-017-0092-9 ( 2017 ) ( Epub ahead of print ).
   PubMed Web of Science ®Google Scholar
• Berezowska A , FischerARH , RonteltapAet al. Understanding consumer evaluations of personalised nutrition services in terms of the privacy calculus: a qualitative study . Public Health Genomics17 ( 3 ), 127 – 140 ( 2014 ).
   PubMed Web of Science ®Google Scholar
• Gibney MJ , WalshMC . The future direction of personalised nutrition: my diet, my phenotype, my genes . Proc. Nutr. Soc.72 ( 2 ), 219 – 225 ( 2013 ).
   PubMed Web of Science ®Google Scholar
• Vickery CE , CotugnaN . Incorporating human genetics into dietetics curricula remains a challenge . J. Am. Diet Assoc.105 ( 4 ), 583 – 588 ( 2005 ).
   PubMedGoogle Scholar
• Bouwman L , MolderH , HiddinkG . Patients, evidence and genes: an exploration of GPs’ perspectives on gene-based personalized nutrition advice . Fam. Pract.25 ( Suppl. 1 ), 116 – 122 ( 2009 ).
   Google Scholar
• Collins J , BertrandB , HayesVet al. The application of genetics and nutritional genomics in practice: an international survey of knowledge, involvement and confidence among dietitians in the US, Australia and the UK . Genes Nutr.8 ( 6 ), 523 – 533 ( 2013 ).
   PubMed Web of Science ®Google Scholar
• Cormier H , TremblayBL , ParadisAMet al. Nutrigenomics – perspectives from registered dietitians: a report from the Quebec-wide e-consultation on nutrigenomics among registered dietitians . J. Hum. Nutr. Diet.27 ( 4 ), 391 – 400 ( 2014 ).
   PubMed Web of Science ®Google Scholar
• Horne J , MadillJ , O’ConnorC . Exploring knowledge and attitudes of personal nutrigenomics testing among dietetic students and its value as a component of dietetic education and practice . Can. J. Clin. Nutr.4 ( 6 ), 50 – 62 ( 2016 ).
   Google Scholar
• Downie L , DonoghueS , StutterdC . Advances in genomic testing . AFP46 ( 4 ), 200 – 204 ( 2017 ).
   Google Scholar
• O’Donovan CB , WalshMC , GibneyMJ , BrennanL , GibneyER . Knowing your genes: does this impact behaviour change?Proc. Nutr. Soc.76 ( 3 ), 182 – 191 ( 2017 ).
   PubMed Web of Science ®Google Scholar
• Li SX , YeZ , WhelanK , TrubyH . The effect of communicating the genetic risk of cardiometabolic disorders on motivation and actual engagement in preventative lifestyle modification and clinical outcome: a systematic review and meta-analysis of randomised controlled trials . Br. J. Nutr.116 ( 5 ), 1 – 11 ( 2016 ).
   Web of Science ®Google Scholar
• Hollands GJ , FrenchDP , GriffinSJet al. The impact of communicating genetic risks of disease on risk-reducing health behaviour: systematic review with meta-analysis . BMJ352 , i1102 ( 2016 ).
   PubMed Web of Science ®Google Scholar
• French DP , CameronE , BentonJS , DeatonC , HarvieM . Can communicating personalised disease risk promote healthy behaviour change? A systematic review of systematic reviews . Ann. Behav. Med.51 ( 5 ), 718 – 729 ( 2017 ).
   PubMed Web of Science ®Google Scholar
• Food4Me . Food4Me: aims and objectives ( 2011 ). http://food4me.org/about/aims-and-objectives .
   Google Scholar
• Food4Me . Food4Me: scientific publications . http://food4me.org/scientific-publications .
   Google Scholar
• Marsaux CFM , Celis-MoralesC , LivingstoneKMet al. Changes in physical activity following a genetic-based internet-delivered personalized intervention: randomized controlled trial (Food4Me) . J. Med. Internet Res.18 ( 2 ), 1 – 20 ( 2016 ).
   Web of Science ®Google Scholar
• Fallaize R , MacreadyAL , ButlerLT , EllisJA , LovegroveJA . An insight into the public acceptance of nutrigenomic-based personalised nutrition . Nutr. Res. Rev.26 ( 1 ), 39 – 48 ( 2013 ).
   PubMed Web of Science ®Google Scholar
• Marsaux CFM , Celis-MoralesC , FallaizeRet al. Effects of a web-based personalized intervention on physical activity in European adults: a randomized controlled trial . J. Med. Internet Res.17 ( 10 ), 1 – 22 ( 2015 ).
   Web of Science ®Google Scholar
• Poinhos R , Van Der LansIA , RankinAet al. Psychological determinants of consumer acceptance of personalised nutrition in 9 European countries . PLoS ONE9 ( 10 ), e110614 ( 2014 ).
   PubMed Web of Science ®Google Scholar
• Stewart-Knox B , KuznesofS , RobinsonJet al. Factors influencing European consumer uptake of personalised nutrition. Results of a qualitative analysis . Appetite66 , 67 – 74 ( 2013 ).
   PubMed Web of Science ®Google Scholar
• Stewart-Knox BJ , BuntingBP , GilpinSet al. Attitudes toward genetic testing and personalised nutrition in a representative sample of European consumers . Br. J. Nutr.101 ( 7 ), 982 – 989 ( 2009 ).
   PubMed Web of Science ®Google Scholar
• Taylor JY , WuCY . Effects of genetic counseling for hypertension on changes in lifestyle behaviors among Africa-American women . J. Natl Black Nurses Assoc.20 ( 1 ), 1 – 10 ( 2010 ).
   Google Scholar
• Arena R , McNeilA , SagnerM , HillsAP . The current global state of key lifestyle characteristics: health and economic implications . Prog. Cardiovasc. Dis. Arena Ross Prog. Cardiovasc. Dis.59 ( 5 ), 422 – 429 ( 2017 ).
   PubMed Web of Science ®Google Scholar
• Public Health Agency of Canada . Social determinants of health ( 2016 ). http://cbpp-pcpe.phac-aspc.gc.ca/public-health-topics/social-determinants-of-health/ .
   Google Scholar