Predicting sun-protective intentions and behaviours using the theory of planned behaviour: a systematic review and meta-analysis

Psychology and Health

Volumn 31, Issue 11, 2016, Pages 1272-1292

  Starfelt Sutton, Louise C ^a   White, Katherine M ^a  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

meta analysis; skin cancer; sun protection; sunscreen; theory of planned behaviour; theory of reasoned action

Indexed keywords

SUNSCREEN;

ADVERSE EFFECTS; BEHAVIOR; HEALTH BEHAVIOR; HUMAN; META ANALYSIS; PROSPECTIVE STUDY; PROTECTIVE CLOTHING; PSYCHOLOGICAL THEORY; PSYCHOLOGY; SKIN NEOPLASMS; SUNLIGHT; UTILIZATION;

HEALTH BEHAVIOR; HUMANS; INTENTION; PROSPECTIVE STUDIES; PROTECTIVE CLOTHING; PSYCHOLOGICAL THEORY; SKIN NEOPLASMS; SUNLIGHT; SUNSCREENING AGENTS;

EID: 84978036010     PISSN: 08870446     EISSN: 14768321     Source Type: Journal    
DOI: 10.1080/08870446.2016.1204449     Document Type: Review

References (59)

1. I.Ajzen, (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211. doi:10.1016/0749-5978(91)90020-t
2. I.Ajzen, (2006a). Behavioral interventions based on the theory of planned behaviour. Retrieved February 25, 2013, from http://people.umass.edu/aizen/tpb.html
3. I.Ajzen, (2006b). Constructing a TPB questionnaire:Conceptual and methodological considerations. Retrieved from http://people.umass.edu/aizen/tpb.html
4. I.Ajzen, & M.Fishbein, (1980). Understanding attitudes and predicting social behaviour. Englewood Cliffs, NJ:Prentice-Hall.
5. V.Allom, B.Mullan, & J.Sebastian, (2013). Closing the intention–behaviour gap for sunscreen use and sun protection behaviours. Psychology and Health, 28, 477–494. doi:10.1080/08870446.2012.745935
6. C.J.Armitage, & M.Conner, (2001). Efficacy of the theory of planned behaviour:A meta-analytic review. British Journal of Social Psychology, 40, 471–499. doi:10.1348/014466601164939
7. H.Bodimeade, E.Anderson, S.La Macchia, J.R.Smith, D.J.Terry, & W.R.Louis, (2014). Testing the direct, indirect, and interactive roles of referent group injunctive and descriptive norms for sun protection in relation to the theory of planned behavior. Journal of Applied Social Psychology, 44, 739–750. doi:10.1111/jasp.12264
8. M.Borenstein, L.V.Hedges, J.P.T.Higgins, & H.R.Rothstein, (2009). Introduction to meta-analysis. Hoboken, NJ:Wiley.10.1002/9780470743386
9. Cancer Council Australia. (2015, June 5). Skin cancer. Retrieved August 10, 2015, from http://www.cancer.org.au/about-cancer/types-of-cancer/skin-cancer.html
10. Cancer Research UK. (2015). Ways to enjoy the sun safely. Retrieved August 10, 2015, from http://www.cancerresearchuk.org/about-cancer/causes-of-cancer/sun-uv-and-cancer/ways-to-enjoy-the-sun-safely
11. J.Cohen, (1992). A power primer. Psychological Bulletin, 112, 155–159. doi:10.1037/0033-2909.112.1.155
12. V.Cokkinides, M.Weinstock, K.Glanz, J.Albano, E.Ward, & M.Thun, (2006). Trends in sunburns, sun protection practices, and attitudes toward sun exposure protection and tanning among US adolescents, 1998–2004. Pediatrics, 118, 853–864. doi:10.1542/peds.2005-3109
13. Comprehensive Meta-Analysis (Version 3 [Computer software]). (2014). Englewood, NJ:Biostat. Retrieved from www.meta-analysis.com
14. M.Conner, R.McEachan, N.Taylor, J.O’Hara, & R.Lawton, (2015). Role of affective attitudes and anticipated affective reactions in predicting health behaviors. Health Psychology, 34, 642–652. doi:10.1037/hea0000143
15. M.Conner, P.Sheeran, P.Norman, & C.J.Armitage, (2000). Temporal stability as a moderator of relationships in the theory of planned behaviour. British Journal of Social Psychology, 39, 469–493. doi:10.1348/014466600164598
16. R.Cooke, M.Dahdah, P.Norman, & D.P.French, (2016). How well does the theory of planned behaviour predict alcohol consumption? A systematic review and meta-analysis. Health Psychology Review, 10, 148–167. doi:10.1080/17437199.2014.947547
17. R.Cooke, & D.P.French, (2008). How well do the theory of reasoned action and theory of planned behaviour predict intentions and attendance at screening programmes? A meta-analysis. Psychology & Health, 23, 745–765. doi:10.1080/08870440701544437
18. C.Craciun, N.Schüz, S.Lippke, & R.Schwarzer, (2012). A mediator model of sunscreen use:A longitudinal analysis of social-cognitive predictors and mediators. International Journal of Behavioral Medicine, 19, 65–72. doi:10.1007/s12529-011-9153-x
19. G.Cumming, (2012). Understanding the new statistics:Effect sizes, confidence intervals, and meta-analysis. New York, NY:Routledge.
20. I.N.Defoe, J.S.Dubas, B.Figner, & M.A.G.van Aken, (2015). A meta-analysis on age differences in risky decision making:Adolescents versus children and adults. Psychological Bulletin, 141, 48–84. doi:10.1037/a0038088
21. S.Del Bino, & F.Bernerd, (2013). Variations in skin colour and the biological consequences of ultraviolet radiation exposure. British Journal of Dermatology, 169, 33–40. doi:10.1111/bjd.12529
22. L.K.Dennis, M.J.Vanbeek, L.E.Beane Freeman, B.J.Smith, D.V.Dawson, & J.A.Coughlin, (2008). Sunburns and risk of cutaneous melanoma:Does age matter? A comprehensive meta-analysis Annals of Epidemiology, 18, 614–627. doi:10.1016/j.annepidem.2008.04.006
23. S.Duval, & R.Tweedie, (2000). A nonparametric “trim and fill” method of accounting for publication bias in meta-analysis. Journal of the American Statistical Association, 95, 89–98. doi:10.1080/01621459.2000.10473905
24. J.Ferlay, I.Soerjomataram, M.Ervik, R.Dikshit, S.Eser, C.Mathers, … F.Bray, (2013). GLOBOCAN 2012 v1.0, Cancer incidence and mortality worldwide:IARC CancerBase No. 11 [Internet]. Retrieved June 4, 2015, from http://globocan.iarc.fr
25. P.M.Gollwitzer, (1999). Implementation intentions:Strong effects of simple plans. American Psychologist, 54, 493–503. doi:10.1037/0003-066X.54.7.493
26. M.S.Hagger, N.L.D.Chatzisarantis, & S.J.H.Biddle, (2002). A meta-analytic review of the theories of reasoned action and planned behavior in physical activity:Predictive validity and the contribution of additional variables. Journal of Sport & Exercise Psychology, 24, 3–32.
27. B.L.Halpern-Felsher, & E.Cauffman, (2001). Costs and benefits of a decision. Decision-making competence in adolescents and adults. Journal of Applied Developmental Psychology, 22, 257–273. doi:10.1016/S0193-3973(01)00083-1
28. S.W.Helms, S.Choukas-Bradley, L.Widman, M.Giletta, G.L.Cohen, & M.J.Prinstein, (2014). Adolescents misperceive and are influenced by high-status peers’ health risk, deviant, and adaptive behavior. Developmental Psychology, 50, 2697–2714. doi:10.1037/a0038178
29. J.P.T.Higgins, & S.Green, (Eds.). (2011). Cochrane handbook for systematic reviews of interventions. The Cochrane Collaboration. Retrieved from http://handbook.cochrane.org/
30. J.E.Hunter, & F.L.Schmidt, (2000). Fixed effects vs. random effects meta-analysis models:Implications for cumulative research knowledge. International Journal of Selection & Assessment, 8, 275. doi:10.1111/1468-2389.00156
31. J.E.Hunter, & F.L.Schmidt, (2004). Methods of meta-analysis:Correcting error and bias in research findings (2nd ed.). Thousand Oaks, CA:Sage.10.4135/9781412985031
32. S.Lawler, T.Sugiyama, & N.Owen, (2007). Sun exposure concern, sun protection behaviors and physical activity among Australian adults. Cancer Causes and Control, 18, 1009–1014. doi:10.1007/s10552-007-9041-5
33. A.Lee, K.Garbutcheon-Singh, S.Dixit, P.Brown, & S.Smith, (2015). The influence of age and gender in knowledge, behaviors and attitudes towards sun protection:A cross-sectional survey of Australian outpatient clinic attendees. American Journal of Clinical Dermatology, 16, 47–54. doi:10.1007/s40257-014-0106-4
34. A.C.Leon, C.H.Mallinckrodt, C.Chuang-Stein, D.G.Archibald, G.E.Archer, & K.Chartier, (2006). Attrition in randomized controlled clinical trials:Methodological issues in psychopharmacology. Biological Psychiatry, 59, 1001–1005. doi:10.1016/j.biopsych.2005.10.020
35. E.Mankarious, & E.Kothe, (2015). A meta-analysis of the effects of measuring theory of planned behaviour constructs on behaviour within prospective studies. Health Psychology Review, 9, 190–204. doi:10.1080/17437199.2014.927722
36. M.Manning, (2009). The effects of subjective norms on behaviour in the theory of planned behaviour:A meta-analysis. British Journal of Social Psychology, 48, 649–705. doi:10.1348/014466608X393136
37. R.R.C.McEachan, M.Conner, N.J.Taylor, & R.J.Lawton, (2011). Prospective prediction of health-related behaviours with the theory of planned behaviour:A meta-analysis. Health Psychology Review, 5, 97–144. doi:10.1080/17437199.2010.521684
38. D.Moher, A.Liberati, J.Tetzlaff, & D.G.Altman, (2009). Preferred reporting items for systematic reviews and meta-analyses:The PRISMA statement. Annals of Internal Medicine, 151, 264–269.10.7326/0003-4819-151-4-200908180-00135
39. T.Murray, W.Rodgers, & S.Fraser, (2012). Exploring the relationship between socioeconomic status, control beliefs and exercise behavior:a multiple mediator model. Journal of Behavioral Medicine, 35, 63–73. 10.1007/s10865-011-9327-7
40. D.L.Narayanan, R.N.Saladi, & J.L.Fox, (2010). Ultraviolet radiation and skin cancer. International Journal of Dermatology, 49, 978–986. doi:10.1111/j.1365-4632.2010.04474.x
41. A.S.Notani, (1998). Moderators of perceived behavioral control’s predictiveness in the theory of planned behavior:A meta-analysis. Journal of Consumer Psychology, 7, 247–271. doi:10.1207/s15327663jcp0703_02
42. C.Paul, F.Tzelepis, N.Parfitt, & A.Girgis, (2008). How to improve adolescents’ sun protection behavior? Age and gender issues. American Journal of Health Behavior, 32, 387–398. doi:10.5993/AJHB.32.4.6
43. V.Peacey, A.Steptoe, R.Sanderman, & J.Wardle, (2006). Ten-year changes in sun protection behaviors and beliefs of young adults in 13 European countries. Preventive Medicine, 43, 460–465. doi:10.1016/j.ypmed.2006.07.010
44. T.Pudrovska, (2015). Gender and health control beliefs among middle-aged and older adults. Journal of Aging and Health, 27, 284–303. doi:10.1177/0898264314549659
45. S.K.Riebl, P.A.Estabrooks, J.C.Dunsmore, J.Savla, M.I.Frisard, A.M.Dietrich, … B.M.Davy, (2015). A systematic literature review and meta-analysis:The theory of planned behavior’s application to understand and predict nutrition-related behaviors in youth. Eating Behaviors, 18, 160–178. doi:10.1016/j.eatbeh.2015.05.016
46. N.G.Robinson, K.M.White, & K.Hamilton, (2013). Examining young recreational sportswomen’s intentions to engage in sun-protective behavior:The role of group and image norms. Women and Health, 53, 244–261. doi:10.1080/03630242.2013.782939
47. S.L.Schneider, & C.M.Caffray, (2012). Affective motivators and experience in adolescents’ development of health-related behavior patterns. In V.F.Reyna, S.B.Chapman, M.R.Dougherty, J.Confrey, V.F.Reyna, S.B.Chapman, M.R.Dougherty, & J.Confrey (Eds.), The adolescent brain:Learning, reasoning, and decision making (pp. 291–335). Washington, DC:American Psychological Association.10.1037/13493-000
48. R.Schwarzer, (2008). Modeling health behavior change:How to predict and modify the adoption and maintenance of health behaviors. Applied Psychology:An International Review, 57(1), 1–29. doi:10.1111/j.1464-0597.2007.00325.x
49. F.F.Sniehotta, J.Presseau, & V.Araujo-Soares, (2014). Time to retire the theory of planned behaviour. Health Psychology Review, 8(1), 1–7. doi:10.1080/17437199.2013.869710
50. The Skin Cancer Foundation. (2015). Prevention guidelines. Retrieved August 10, 2015, from http://www.skincancer.org/prevention/sun-protection/prevention-guidelines
51. C.E.Thomson, K.M.White, & K.Hamilton, (2012). Investigating mothers’ decisions about their child’s sun-protective behaviour using the theory of planned behaviour. Journal of Health Psychology, 17, 1001–1010. doi:10.1177/1359105311433905
52. L.van Osch, A.Reubsaet, L.Lechner, M.Candel, L.Mercken, & H.De Vries, (2008). Predicting parental sunscreen use:Disentangling the role of action planning in the intention-behavior relationship. Psychology & Health, 23, 829–847. doi:10.1080/08870440701596577
53. A.Volkov, S.Dobbinson, M.Wakefield, & T.Slevin, (2013). Seven-year trends in sun protection and sunburn among Australian adolescents and adults. Australian and New Zealand Journal of Public Health, 37, 63–69. doi:10.1111/1753-6405.12012
54. M.Weinstock, J.Rossi, J.Redding, J.Maddock, & S.Cottrill, (2000). Sun protection behaviors and stages of change for the primary prevention of skin cancers among beachgoers in Southeastern New England. Annals of Behavioral Medicine:A Publication of the Society of Behavioral Medicine, 22, 286–293. doi:10.1007/BF02895664
55. K.M.White, M.K.Hyde, E.L.O’Connor, L.Naumann, & A.L.Hawkes, (2010). Testing a belief-based intervention encouraging sun-safety among adolescents in a high risk area. Preventive Medicine, 51, 325–328. doi:10.1016/j.ypmed.2010.07.003
56. K.M.White, J.R.Smith, D.J.Terry, J.H.Greenslade, & B.M.McKimmie, (2009). Social influence in the theory of planned behaviour:The role of descriptive, injunctive, and in-group norms. British Journal of Social Psychology, 48, 135–158. doi:10.1348/014466608x295207
57. K.M.White, L.C.Starfelt, R.M.Young, A.L.Hawkes, C.Cleary, S.Leske, & K.Wihardjo, (2015). A randomised controlled trial of an online theory-based intervention to improve adult Australians’ sun-protective behaviours. Preventive Medicine:An International Journal Devoted to Practice and Theory, 72, 19–22. doi:10.1016/j.ypmed.2014.12.025
58. K.M.White, L.C.Starfelt, R.M.Young, A.L.Hawkes, S.Leske, & K.Hamilton, (2015). Predicting Australian adults’ sun-safe behaviour:Examining the role of personal and social norms. British Journal of Health Psychology, 20, 396–412. doi:10.1111/bjhp.12108
59. World Health Organization. (2015). Skin cancers. Retrieved July 10, 2015, from http://www.who.int/uv/faq/skincancer/en/index1.html