Colorado stride (COSTRIDE): Testing genetic and physiological moderators of response to an intervention to increase physical activity

International Journal of Behavioral Nutrition and Physical Activity

Volumn 10, Issue , 2013, Pages

  Bryan, Angela D ^a   Magnan, Renee E ^b   Hooper, Ann E C ^c   Ciccolo, Joseph T ^d   Marcus, Bess ^e   Hutchison, Kent E ^a  

^a UNIVERSITY OF COLORADO   (United States)

^b WASHINGTON STATE UNIVERSITY   (United States)

^c UNIVERSITY OF NEW MEXICO   (United States)

^d Och Spine at New York Presbyterian Hospitals   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Exercise; Genetics; Intervention; Physical activity; Transdisciplinary

Indexed keywords

BRAIN DERIVED NEUROTROPHIC FACTOR;

ADULT; AEROBIC EXERCISE; ARTICLE; BEHAVIOR; BEHAVIOR THERAPY; COLORADO STRIDE; COMPARATIVE EFFECTIVENESS; CONTROLLED STUDY; EXERCISE; FEMALE; FOLLOW UP; GENE FREQUENCY; GENETIC SCREENING; HEART RATE; HEREDITY; HUMAN; LACTATE BLOOD LEVEL; LEISURE; MALE; NORADRENALIN BLOOD LEVEL; OUTCOME ASSESSMENT; PHYSICAL ACTIVITY; RANDOMIZED CONTROLLED TRIAL; SINGLE NUCLEOTIDE POLYMORPHISM; SYSTOLIC BLOOD PRESSURE; TEMPERATURE; TREATMENT OUTCOME; TREATMENT RESPONSE; UNITED STATES; WELLBEING;

ADOLESCENT; ADULT; BLOOD PRESSURE; BODY MASS INDEX; BODY TEMPERATURE; BRAIN-DERIVED NEUROTROPHIC FACTOR; COLORADO; EXERCISE; FEMALE; FOLLOW-UP STUDIES; HEALTH BEHAVIOR; HEART RATE; HUMANS; INTERVENTION STUDIES; LACTIC ACID; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; MOTOR ACTIVITY; NOREPINEPHRINE; PROTEINS; YOUNG ADULT;

EID: 84890460269     PISSN: None     EISSN: 14795868     Source Type: Journal    
DOI: 10.1186/1479-5868-10-139     Document Type: Article

References (62)

1. Bianchini F, Kaaks R, Vainio H. Overweight, obesity, and cancer risk. Lancet Oncol 2002, 3:565-574. 10.1016/S1470-2045(02)00849-5, 12217794.
2. Booth FW, Gordon SE, Carlson CJ, Hamilton MT. Waging war on modern chronic diseases: primary prevention through exercise biology. J Appl Physiol 2000, 88:774-787.
3. Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc 2008, 40:181-188. 10.1249/mss.0b013e31815a51b3, 18091006.
4. Pleis JR, Lucas JW, Ward BW. Summary health statistics for U.S. Adult: national health interview survey, 2008. National center for health statistics. Vital Health Stat 2009, 10:74-75.
5. Marcus BH, Dubbert PM, Forsyth LH, McKenzie TL, Stone EJ, Dunn AL, Blair SN. Physical activity behavior change: issues in adoption and maintenance. Health Psychol 2000, 19(1 Suppl):32-41.
6. Sherwood NE, Jeffrey RW. The behavioral determinants of exercise: implications for physical activity interventions. Annu Rev Nutr 2000, 20:21-44. 10.1146/annurev.nutr.20.1.21, 10940325.
7. McBride CM, Alford SH, Reid RJ, Larson EB, Baxevanix AD, Brody LC. Putting science over supposition in the arena of personalized genomics. Nat Genet 2008, 40:939-942. 10.1038/ng0808-939, 2531214, 18665132.
8. Bryan AD, Magnan RE, Nilsson R, Marcus BH, Tompkins SA, Hutchison KE. The big picture of individual differences in physical activity behavior change: a transdisciplinary approach. Psychol Sport Exerc 2011, 12:20-26. 10.1016/j.psychsport.2010.05.002, 3026580, 21278837.
9. Marcus BH, Napolitano MA, King AC, Lewis BA, Whiteley JA, Albrecht A, Parisi A, Bock B, Pinto B, Sciamanna C, et al. Telephone versus print delivery of an individualized motivationally tailored physical activity intervention: project STRIDE. Health Psychol 2007, 26:401-409.
10. Marcus BH, Napolitano MA, King AC, Lewis BA, Whiteley JA, Albrecht AE, Parisi AF, Bock BC, Pinto BM, Sciamanna CA, et al. Examination of print and telephone channels for physical activity promotion: rationale, design, and baseline data from project STRIDE. Contemp Clin Trials 2007, 28:90-104. 10.1016/j.cct.2006.04.003, 16839823.
11. Marcus BH, Williams DM, Dubbert PM, Sallis JF, King AC, Yancey AK, Franklin BA, Buchner D, Daniels SR, Claytor RP. Physical activity intervention studies: what we know and what we need to know: a scientific statement from the american heart association council on nutrition, physical activity, and metabolism subcommittee on physical activity); council on cardiovascular disease in the young; and the interdisciplinary working group on quality of care and outcomes research. Circulation 2006, 114:2739-2752. 10.1161/CIRCULATIONAHA.106.179683, 17145995.
12. Short CE, James EL, Plotnikoff RC, Girgis A. Efficacy of tailored-print interventions to promote physical activity: a systematic review of randomised trials. Int J Behav Nutr Phys Act 2011, 17:113.
13. Prochaska JO, DiClemente CC, Norcross JC. In search of how people change. Applications to addictive behaviors. Am Psychol 1992, 47:1102-1114.
14. Bandura A. Self-efficacy: the exercise of control 1997, New York: Freeman.
15. Luszczynska A, Schwarzer R, Lippke S, Mazurkiewicz M. Self-efficacy as a moderator of the planning-behavior relationship in interventions designed to promote physical activity. Psychol Health 2011, 26:151-166. 10.1080/08870446.2011.531571, 21318927.
16. Kremers SPJ, de Bruijn GJ, Droomers M, van Lenthe F, Brug J. Moderators of environmental intervention effects on diet and activity in youth. Am J Prev Med 2007, 32:163-172. 10.1016/j.amepre.2006.10.006, 17197152.
17. Burke V, Beilin LJ, Cutt HE, Mansour J, Mori TA. Moderators of behavior change in a lifestyle program for treated hypertensives: a randomized controlled trial (ADAPT). Health Educ Res 2008, 23:583-591.
18. Conn VS, Hafdahl AR, Mehr DR. Interventions to increase physical activity among healthy adults: meta-analysis of outcomes. Am J Public Health 2011, 101:751-758. 10.2105/AJPH.2010.194381, 3052337,3052337, 21330590.
19. Bryan A, Hutchison KE, Seals DR, Allen DL. A transdisciplinary model integrating genetic, physiological, and psychological correlates of voluntary exercise. Health Psychol 2007, 26:30-39. 1896050, 17209695.
20. Magnan RE, Nilsson R, Marcus BH, Ciccolo JT, Bryan AD. A transdisciplinary approach to the selection of moderators of an exercise promotion intervention: baseline data and rationale for Colorado STRIDE. J Behav Med 2013, 36:20-33. 10.1007/s10865-011-9385-x, 22083142.
21. Karoly HC, Stevens CJ, Magnan RE, Harlaar N, Hutchison KE, Bryan AD. Genetic influences on physiological and subjective responses to an aerobic exercise session among sedentary adults. J Cancer Epidemiol 2012, 2012:540563. 3414053, 22899923.
22. Kwan BM, Bryan AD. Affective response to exercise as a component of exercise motivation: attitudes, norms, self-efficacy, and temporal stability of intentions. Psychol Sport Exerc 2010, 11:71-79. 10.1016/j.psychsport.2009.05.010, 2782828, 20161385.
23. Kwan BM, Bryan A. In-task and post-task affective response to exercise: translating exercise intentions into behaviour. Br J Health Psychol 2010, 15:115-131. 10.1348/135910709X433267, 19397847.
24. Williams DM, Dunsiger S, Jennings EG, Marcus BH. Does affective valence during and immediately following a 10-min walk predict concurrent and future physical activity?. Ann Behav Med 2012, 44:43-51. 10.1007/s12160-012-9362-9, 22532005.
25. Bauman AE, Sallis JF, Dzewaltowski DA, Owen N. Toward a better understanding of the influences on physical activity: the role of determinants, correlates, causal variables, mediators, moderators, and confounders. J Prev Med 2002, 23:5-14.
26. Hagger MS, Chatzisarantis NLD, Biddle SJH. Meta-analysis of the theories of reasoned action and planned behavior in physical activity: an examination of predictive validity and the contribution of additional variables. J Sport Exerc Psychol 2002, 24:3-32.
27. Mastorakos G, Pavlatou M. Exercise as a stress model and the interplay between the hypothalamus-pituitary-adrenal and the hypothalamus-pituitary-thyroid axes. Horm Metab Res 2005, 37:577-584. 10.1055/s-2005-870426, 16175498.
28. Booth F, Neufer PD. Exercise genomics and proteomics. ACSM's advanced exercise physiology 2006, 623-651. Baltimore, MD: Lippincott, Williams, & Wilkins, Tipton CM.
29. Annesi JJ. Relations of self-motivation, perceived physical condition, and exercise-induced changes in revitalization and exhaustion with attendance in women initiating a moderate cardiovascular exercise regimen. Women Health 2005, 42:77-93.
30. McAuley E, Jerome GJ, Marquez DX, Elavsky MS, Blissmer B. Exercise self-efficacy in older adults: social, affective, and behavioral influences. Ann Behav Med 2003, 25:1-7. 10.1207/S15324796ABM2501_01, 12581930.
31. Blair SN, Haskell WL, Ho P, Paffenbarger RS, Vranizan KM, Farquhar JW, Wood PD. Assessment of habitual physical activity by a seven-day recall in a community survey and controlled experiments. Am J Epidemiol 1985, 122:794-804.
32. Dishman RK, Washburn RA, Schoeller DA. Measurement of physical activity. Quest 2001, 53:295-309.
33. Pereira MA, FitzerGerald SJ, Gregg EW, Joswiak ML, Ryan WJ, Suminski RR, Utter AC, Zmuda JM. A collection of physical activity questionnaires for health-related research. Med Sci Sports Exerc 1997, 29(6 Suppl):S1-S205.
34. Dunn AL, Marcus BH, Kampert JB, Garcia ME, Kohl HW, Blair SN. Comparison of lifestyle and structured interventions to increase physical activity and cardiorespiratory fitness: a randomized trial. J Am Med Assoc 1999, 281:327-334.
35. Bryan AD, Rocheleau CA. Predicting aerobic versus resistance exercise using the theory of planned behavior. Am J Health Behav 2002, 26:83-94. 10.5993/AJHB.26.2.1, 11926678.
36. Christou DD, Gentile CL, DeSouza CA, Seals DR, Gates PE. Fatness is a better predictor of cardiovascular disease risk factor profile than aerobic fitness in healthy men. Circulation 2005, 111:1904-1914. 10.1161/01.CIR.0000161818.28974.1A, 15837943.
37. Bryan AD, Magnan RE, Hooper AE, Harlaar N, Hutchison KE. Physical activity and differential methylation of breast cancer genes assayed from saliva: a preliminary investigation. Ann Behav Med 2013, 45:89-98. 10.1007/s12160-012-9411-4, 23054940.
38. Borg G. Borg's perceived exertion and pain scales 1998, Champaign, IL: Human Kinetics.
39. Hardy CJ, Rejeski WJ. Not what, but how one feels: the measurement of affect during exercise. J Sport Exerc Psychol 1989, 11:304-317.
40. Russell JA. A circumplex model of affect. J Pers Soc Psychol 1980, 39:1161-1478.
41. Hall EE, Ekkekakis P, Petruzzello SJ. The affective beneficence of vigorous exercise revisted. Brit J Health Psychol 2002, 11:47-66.
42. Shadish W, Cook TD, Campbell DT. Experimental and quasi-experimental designs for generalized causal inference 2002, Boston, MA: Houghton-Mifflin.
43. McClelland GH, Judd CM. Statistical difficulties of detecting interactions and moderator effects. Psychol Bull 1993, 114:376-390.
44. Schafer JL, Graham JW. Missing data: our view of the state of the art. Psychol Methods 2002, 7:147-177.
45. Little RJA, Rubin DB. Statistical analysis with missing data 1987, New York: Wiley.
46. Cohen J, Cohen P, West SG, Aiken LS. Applied multiple regression/correlation analysis for the behavioral sciences 2003, Mahwah, NJ: Lawrence Erlbaum, 3.
47. Jurs SG, Glass GV. The effect of experimental mortality on the internal and external vilidity of the randomized comparative experiment. J Exp Ed 1971, 40:62-66.
48. Enoksen E, Shalfawi SA, Tønnessen E. The effect of high- vs. low-intensity training on aerobic capacity in well-trained male middle-distance runners. J Strength Cond Res 2011, 25:812-818. 10.1519/JSC.0b013e3181cc2291, 20647950.
49. Gormley SE, Swain DP, High R, Spina RJ, Dowling EA, Kotipalli US, Gandrakota R. Effect of intensity of aerobic training on VO2max. Med Sci Sports Exerc 2008, 40:1336-1343. 10.1249/MSS.0b013e31816c4839, 18580415.
50. Rognmo O, Hetland E, Helgerud J, Hoff J, Slordahl SA. High intensity aerobic interval exercise is superior to moderate intensity exercise for increasing aerobic capacity in patients with coronary artery disease. Eur J Cardiovasc Prev Rehabil 2004, 11:216-222. 10.1097/01.hjr.0000131677.96762.0c, 15179103.
51. Wisløff U, Støylen A, Loennechen JP, Bruvold M, Rognmo O, Haram PM, Tjønna AE, Helgerud J, Slørdahl SA, Lee SJ, et al. Superior cardiovascular effect of aerobic interval training versus moderate continuous training in heart failure patients: a randomized study. Circulation 2007, 115:3086-3094. 10.1161/CIRCULATIONAHA.106.675041, 17548726.
52. Bryan AD, Hutchison KE. The role of genomics in health behavior change: challenges and opportunities. Public Health Genomics 2012, 15:139-145. 10.1159/000335226, 22488456.
53. McBride CM, Bryan AD, Bray MS, Swan GE, Green ED. Health behavior change: can genomics improve behavioral adherence?. Am J Public Health 2012, 102:401-405. 10.2105/AJPH.2011.300513, 22390502.
54. Conn VS, Valentine JC, Cooper HM. Interventions to increase physical activity among aging adults: a meta-analysis. Ann Behav Med 2002, 24:190-200. 10.1207/S15324796ABM2403_04, 12173676.
55. Michie S, Abraham C, Whittington C, McAteer J, Gupta S. Effective techniques in healthy eating and physical activity interventions: a meta-regression. Health Psychol 2009, 28:690-701.
56. Kwan BM, Tompkins SA, Bryan AD, Marcus BH, Ciccolo JT. Physical activity measures in sedentary participants: comparison of 3 day PAR, 3-item self-report, and accelerometer 2007, New Orleans, LA: In American College of Sports Medicine conference.
57. Sallis JF, Cervero RB, Ascher W, Henderson KA, Kraftm MK, Kerr J. An ecological approach to creating active living communities. Annu Rev Public Health 2006, 27:297-322. 10.1146/annurev.publhealth.27.021405.102100, 16533119.
58. Dubbert PM. Physical activity and exercise: recent advances and current challenges. J Consult Clin Psychol 2002, 70:526-536.
59. Dishman RK, Berthoud H, Booth FW, Cotman CW, Edgerton VR, Fleshner MR, Gandevia SC, Gomez-Pinilla F, Greenwood BN, Hillman CH, et al. Neurobiology of exercise. Obesity 2006, 14:345-356. 10.1038/oby.2006.46, 16648603.
60. Eriksson M, Rasmussen F, Tynelius P. Genetic factors in physical activity and the equal environment assumption - the Swedish young male twins study. Behav Genet 2006, 36:238-247. 10.1007/s10519-005-9018-7, 16502139.
61. Kilpeläinen TO, Laaksonen DE, Lakka TA, Herder C, Koenig W, Lindstrom J, Eriksson JG, Uusitupa M, Kolb H, Laakso M, et al. The rs1800629 polymorphism in the TNF gene interacts with physical activity on the changes in c-reatice protein levels in the finnish diabetes prevention study. Exp Clin Endocrinol Diabetes 2010, 118:757-759. 10.1055/s-0030-1249686, 20361391.
62. Feldstein Ewing SW, LaChance H, Bryan AD, Hutchinson KE. Do individual and genetic risk factors moderate the efficacy of MET? Drinking outcomes with an emerging adult sample. Addict Biol 2009, 14:356-365. 10.1111/j.1369-1600.2009.00149.x, 2913542, 19298319.