Several studies of good quality demonstrated changes in lifestyle habits arising from the provision of genetic interventions .
The most promising lifestyle changes were changes in nutrition .
Conclusions : It is possible to facilitate behaviour change using genetic testing as the catalyst .
Background : Study ing the impact of  genetic testing interventions on lifestyle behaviour change  has been a priority area of research in recent years .
Substantial heterogeneity exists in the results and conclusions of this literature , which has yet to be explained using vali date d behaviour change theory and an assessment of the quality of genetic interventions .
The theory of planned behaviour ( TPB ) helps to explain key contributors to behaviour change .
It has been hypothesized that personalization could be added to this theory to help predict changes in health behaviours .
Purpose : This systematic review provides a detailed , comprehensive identification , assessment , and summary of primary research articles pertaining to  lifestyle behaviour change  ( nutrition , physical activity , sleep , and smoking ) result ing from  genetic testing interventions .
The present review further aims to provide in-depth analyses of studies conducted to date within the context of the TPB and the quality of genetic interventions provided to participants while aim ing to determine whether or not genetic testing facilitates changes in lifestyle habits .
This review is timely in light of a recently published “ call-to-action ” paper , highlighting the need to incorporate the TPB into personalized healthcare behaviour change research .
Impact of direct-to-consumer genomic testing at long term follow-up
Background There are few empirical data to inform the debate surrounding the use and regulation of direct-to-consumer ( DTC ) genome-wide disease risk tests . This study aim ed to determine the long term psychological , behavioural , and clinical impacts of genomic risk testing for common disease . Methods The Scripps Genomic Health Initiative is a prospect i ve longitudinal cohort study of adults who purchased the Navigenics Health Compass , a commercially available genomic test . Web based assessment s were administered at baseline , short ( 3 months ) , and long term ( 1 year ) follow-up . Results 2240 participants completed either or both follow-ups and a subset of 1325 completed long term follow-up . There were no significant differences from baseline in anxiety ( p=0.50 ) , fat intake ( p=0.34 ) , or exercise ( p=0.39 ) at long term follow-up , and 96.8 % of the sample had no test related distress . Longitudinal linear mixed model analyses were consistent with results of cross-sectional analyses . Screening test completion was associated with sharing genomic test results with a physician ( 36.0 % shared ; p<0.001 ) and perceived utility of the test ( 61.5 % high perceived utility ; p=0.002 ) , but was not associated with the genomic risk estimate values themselves . Conclusions Over a third of DTC genomic test recipients shared their results with their own physician during an approximate 1 year follow-up period , and this sharing was associated with higher screening test completion . Genomic testing was not associated with long term psychological risks , and most participants reportedly perceived the test to be of high personal utility
Several studies of good quality demonstrated changes in lifestyle habits arising from the provision of genetic interventions .
The most promising lifestyle changes were changes in nutrition .
Conclusions : It is possible to facilitate behaviour change using genetic testing as the catalyst .
Background : Study ing the impact of  genetic testing interventions on lifestyle behaviour change  has been a priority area of research in recent years .
Substantial heterogeneity exists in the results and conclusions of this literature , which has yet to be explained using vali date d behaviour change theory and an assessment of the quality of genetic interventions .
The theory of planned behaviour ( TPB ) helps to explain key contributors to behaviour change .
It has been hypothesized that personalization could be added to this theory to help predict changes in health behaviours .
Purpose : This systematic review provides a detailed , comprehensive identification , assessment , and summary of primary research articles pertaining to  lifestyle behaviour change  ( nutrition , physical activity , sleep , and smoking ) result ing from  genetic testing interventions .
The present review further aims to provide in-depth analyses of studies conducted to date within the context of the TPB and the quality of genetic interventions provided to participants while aim ing to determine whether or not genetic testing facilitates changes in lifestyle habits .
This review is timely in light of a recently published “ call-to-action ” paper , highlighting the need to incorporate the TPB into personalized healthcare behaviour change research .