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

被引:23
作者
Li, Sherly X. [1 ]
Ye, Zheng [1 ]
Whelan, Kevin [2 ]
Truby, Helen [3 ]
机构
[1] Univ Cambridge, Med Res Council Epidemiol Unit, Cambridge CB2 0QQ, England
[2] Kings Coll London, Diabet & Nutr Sci Div, London SE1 9NH, England
[3] Monash Univ, Dept Nutr & Dietet, Level 1,264 Ferntree Gully Rd, Notting Hill, Vic 3168, Australia
关键词
Genetic risk; Behaviour change; Systematic reviews; Cardiometabolic disorders; PERSONALIZED NUTRITION; GENOMIC RISK; IMPACT; SUSCEPTIBILITY; INFORMATION; POPULATION; MEDICINE; UTILITY; ADVICE; DESIGN;
D O I
10.1017/S0007114516002488
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Genetic risk prediction of chronic conditions including obesity, diabetes and CVD currently has limited predictive power but its potential to engage healthy behaviour change has been of immense research interest. We aimed to understand whether the latter is indeed true by conducting a systematic review and meta-analysis investigating whether genetic risk communication affects motivation and actual behaviour change towards preventative lifestyle modification. We included all randomised controlled trials (RCT) since 2003 investigating the impact of genetic risk communication on health behaviour to prevent cardiometabolic disease, without restrictions on age, duration of intervention or language. We conducted random-effects meta-analyses for perceived motivation for behaviour change and clinical changes (weight loss) and a narrative analysis for other outcomes. Within the thirteen studies reviewed, five were vignette studies (hypothetical RCT) and seven were clinical RCT. There was no consistent effect of genetic risk on actual motivation for weight loss, perceived motivation for dietary change (control v. genetic risk group standardised mean difference (smd) -015; 95 % CI -103, 073, P=074) or actual change in dietary behaviour. Similar results were observed for actual weight loss (control v. high genetic risk SMD 029 kg; 95 % CI -074, 131, P=058). This review found no clear or consistent evidence that genetic risk communication alone either raises motivation or translates into actual change in dietary intake or physical activity to reduce the risk of cardiometabolic disorders in adults. Of thirteen studies, eight were at high or unclear risk of bias. Additional larger-scale, high-quality clinical RCT are warranted.
引用
收藏
页码:924 / 934
页数:11
相关论文
共 62 条
[21]   "It's Not Like Judgment Day": Public Understanding of and Reactions to Personalized Genomic Risk Information [J].
Gordon, Erynn S. ;
Griffin, Georgia ;
Wawak, Lisa ;
Pang, Hauchie ;
Gollust, Sarah E. ;
Bernhardt, Barbara A. .
JOURNAL OF GENETIC COUNSELING, 2012, 21 (03) :423-432
[22]   The clinical application of genetic testing in type 2 diabetes: a patient and physician survey [J].
Grant, R. W. ;
Hivert, M. ;
Pandiscio, J. C. ;
Florez, J. C. ;
Nathan, D. M. ;
Meigs, J. B. .
DIABETOLOGIA, 2009, 52 (11) :2299-2305
[23]   Personalized Genetic Risk Counseling to Motivate Diabetes Prevention A randomized trial [J].
Grant, Richard W. ;
O'Brien, Kelsey E. ;
Waxler, Jessica L. ;
Vassy, Jason L. ;
Delahanty, Linda M. ;
Bissett, Laurie G. ;
Green, Robert C. ;
Stember, Katherine G. ;
Guiducci, Candace ;
Park, Elyse R. ;
Florez, Jose C. ;
Meigs, James B. .
DIABETES CARE, 2013, 36 (01) :13-19
[24]   Charting a course for genomic medicine from base pairs to bedside [J].
Green, Eric D. ;
Guyer, Mark S. .
NATURE, 2011, 470 (7333) :204-213
[25]   Impact of Delivery Models on Understanding Genomic Risk for Type 2 Diabetes [J].
Haga, S. B. ;
Barry, W. T. ;
Mills, R. ;
Svetkey, L. ;
Suchindran, S. ;
Willard, H. F. ;
Ginsburg, G. S. .
PUBLIC HEALTH GENOMICS, 2014, 17 (02) :95-104
[26]   An Intervention Study of Individual, apoE Genotype-Based Dietary and Physical-Activity Advice: Impact on Health Behavior [J].
Hietaranta-Luoma, Hanna-Leena ;
Tahvonen, Raija ;
Iso-Touru, Terhi ;
Puolijoki, Hannu ;
Hopia, Anu .
JOURNAL OF NUTRIGENETICS AND NUTRIGENOMICS, 2014, 7 (03) :161-174
[27]  
Higgins JP., 2011, BMJ-BRIT MED J, V343, P5928, DOI [10.1136/bmj.d5928, DOI 10.1136/BMJ.D5928]
[28]  
HIGGINS JPT, 2011, COCHRANE HDB SYSTEMA, V0001
[29]   Susceptibility to type 2 diabetes mellitus-from genes to prevention [J].
Hivert, Marie-France ;
Vassy, Jason L. ;
Meigs, James B. .
NATURE REVIEWS ENDOCRINOLOGY, 2014, 10 (04) :198-205
[30]   The impact of communicating genetic risks of disease on risk-reducing health behaviour: systematic review with meta-analysis [J].
Hollands, Gareth J. ;
French, David P. ;
Griffin, Simon J. ;
Prevost, A. Toby ;
Sutton, Stephen ;
King, Sarah ;
Marteau, Theresa M. .
BMJ-BRITISH MEDICAL JOURNAL, 2016, 352