Predicting intention to participate in self-management behaviors in patients with Familial Hypercholesterolemia: A cross-national study

Imagem de Miniatura
Arquivos
art_HAGGER_Predicting_intention_to_participate_in_selfmanagement_behaviors_in_2019.PDF (373.27 KB)
Citações na Scopus
13
Tipo de produção
article
Data de publicação
2019
DOI
Scopus
Web of Science
PubMed
Título da Revista
ISSN da Revista
Título do Volume
Editora
PERGAMON-ELSEVIER SCIENCE LTD
Autores
HAGGER, Martin S.
HAMILTON, Kyra
HARDCASTLE, Sarah J.
HU, Miao
KWOK, See
LIN, Jie
NAWAWI, Hapizah M.
PANG, Jing
SORAN, Handrean
Citação
SOCIAL SCIENCE & MEDICINE, v.242, article ID 112591, 10p, 2019
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Rationale: Familial Hypercholesterolemia (FH) is a genetic condition that predisposes patients to substantially increased risk of early-onset atherosclerotic cardiovascular disease. FH risks can be minimized through regular participation in three self-management. Behaviors: physical activity, healthy eating, and taking cholesterol lowering medication. Objective: The present study tested the effectiveness of an integrated social cognition model in predicting intention to participate in the self-management behaviors in FH patients from seven countries. Method: Consecutive patients in FH clinics from Australia, Hong Kong, Brazil, Malaysia, Taiwan, China, and UK (total N = 726) completed measures of social cognitive beliefs about illness from the common sense model of self-regulation, beliefs about behaviors from the theory of planned behavior, and past behavior for the three self-management behaviors. Results: Structural equation models indicated that beliefs about behaviors from the theory of planned behavior, namely, attitudes, subjective norms, and perceived behavioral control, were consistent predictors of intention across samples and behaviors. By comparison, effects of beliefs about illness from the common sense model were smaller and trivial in size. Beliefs partially mediated past behavior effects on intention, although indirect effects of past behavior on intention were larger for physical activity relative to taking medication and healthy eating. Model constructs did not fully account for past behavior effects on intentions. Variability in the strength of the beliefs about behaviors was observed across samples and behaviors. Conclusion: Current findings outline the importance of beliefs about behaviors as predictors of FH self-management behaviors. Variability in the relative contribution of the beliefs across samples and behaviors highlights the imperative of identifying sample- and behavior-specific correlates of FH self-management behaviors.
Palavras-chave
Illness perceptions, Hyperlipidaemia, Theoretical integration, Common sense model, Theory of planned behavior, Theories of social cognition, Attitudes
URI
https://observatorio.fm.usp.br/handle/OPI/34320
Referências
  1. Ainsworth B, 2015, PROG CARDIOVASC DIS, V57, P387, DOI 10.1016/j.pcad.2014.10.005
  2. Ajzen I, 2002, PERS SOC PSYCHOL REV, V6, P107, DOI 10.1207/S15327957PSPR0602_02
  3. AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
  4. Ajzen I., 2006, TIME, V2002, P1, DOI 10.1002/HEP.22759
  5. Albarracin D, 2000, J PERS SOC PSYCHOL, V79, P5, DOI 10.1037//0022-3514.79.1.5
  6. Albarracin D, 2001, PSYCHOL BULL, V127, P142, DOI 10.1037//0033-2909.127.1.142
  7. Amireault S, 2013, HEALTH PSYCHOL REV, V7, P55, DOI 10.1080/17437199.2012.701060
  8. Bagozzi RP, 2001, PSYCHOL HEALTH, V16, P29, DOI 10.1080/08870440108405488
  9. BAUMANN LJ, 1989, HEALTH PSYCHOL, V8, P449, DOI 10.1037/0278-6133.8.4.449
  10. BISHOP GD, 1986, HEALTH PSYCHOL, V5, P95, DOI 10.1037/0278-6133.5.2.95
  11. Blanchard CM, 2003, AM J HEALTH BEHAV, V27, P579, DOI 10.5993/AJHB.27.6.1
  12. Brewer NT, 2002, BRIT J HEALTH PSYCH, V7, P433, DOI 10.1348/135910702320645408
  13. Broadbent E, 2019, HEALTH PSYCHOL REV, V13, P406, DOI 10.1080/17437199.2018.1558088
  14. Brown DJ, 2018, APPETITE, V121, P326, DOI 10.1016/j.appet.2017.11.106
  15. Catapano AL, 2016, EUR HEART J, V37, P2999, DOI 10.1093/eurheartj/ehw272
  16. Chew LD, 2004, FAM MED, V36, P588
  17. Claassen L, 2012, PSYCHOL HEALTH MED, V17, P511, DOI 10.1080/13548506.2011.644246
  18. Conner M, 1999, J APPL SOC PSYCHOL, V29, P1676, DOI 10.1111/j.1559-1816.1999.tb02046.x
  19. Conner M, 2001, PERS SOC PSYCHOL B, V27, P1547, DOI 10.1177/01461672012711014
  20. Conner M., 2015, PREDICTING CHANGING
  21. Durazo A, 2019, HEALTH PSYCHOL REV, V13, P447, DOI 10.1080/17437199.2019.1618725
  22. French DP, 2013, J PSYCHOSOM RES, V74, P327, DOI 10.1016/j.jpsychores.2012.12.008
  23. Gardner B, 2015, HEALTH PSYCHOL REV, V9, P277, DOI 10.1080/17437199.2013.876238
  24. Gidding SS, 2015, CIRCULATION, V132, P2167, DOI 10.1161/CIR.0000000000000297
  25. Grundy SM, 2019, CIRCULATION, V139, pE1082, DOI 10.1161/CIR.0000000000000625
  26. Haenlein M., 2004, Understanding Statistics, V3, P283, DOI 10.1207/s15328031us0304_4
  27. Hagger MS, 2019, PSYCHOL SPORT EXERC, V42, P118, DOI 10.1016/j.psychsport.2018.12.007
  28. Hagger MS, 2018, SOC SCI MED, V213, P85, DOI 10.1016/j.socscimed.2018.07.038
  29. Hagger MS, 2018, EUR J PREV CARDIOL, V25, P936, DOI 10.1177/2047487318766954
  30. Hagger MS, 2017, PSYCHOL BULL, V143, P1117, DOI 10.1037/bul0000118
  31. Hagger MS, 2016, PREV MED, V89, P154, DOI 10.1016/j.ypmed.2016.05.020
  32. Hagger MS, 2016, INT J BEHAV MED, V23, P282, DOI 10.1007/s12529-015-9531-x
  33. Hagger MS, 2005, PSYCHOL HEALTH, V20, P161, DOI 10.1080/0887044042000334724
  34. Hagger MS, 2003, PSYCHOL HEALTH, V18, P141, DOI 10.1080/088704403100081321
  35. Hardcastle SJ, 2015, INT J BEHAV MED, V22, P92, DOI 10.1007/s12529-014-9402-x
  36. Hopkins PN, 2011, J CLIN LIPIDOL, V5, pS9, DOI 10.1016/j.jacl.2011.03.452
  37. Kock N., 2018, WARPPLS 6 0 USER MAN
  38. Kock N, 2018, INFORM SYST J, V28, P227, DOI 10.1111/isj.12131
  39. Kock N, 2014, INT J E-COLLAB, V10, P1, DOI 10.4018/ijec.2014100101
  40. Kok G, 2016, HEALTH PSYCHOL REV, V10, P297, DOI 10.1080/17437199.2015.1077155
  41. LEVENTHAL H, 1980, CONTRIBUTIONS MED PS, P7
  42. LITTLE RJA, 1988, J AM STAT ASSOC, V83, P1198, DOI 10.2307/2290157
  43. McEachan RRC, 2011, HEALTH PSYCHOL REV, V5, P97, DOI 10.1080/17437199.2010.521684
  44. Milrad SF, 2019, SOC SCI MED, V237, DOI 10.1016/j.socscimed.2019.112392
  45. Moss-Morris R, 2002, PSYCHOL HEALTH, V17, P1, DOI 10.1080/08870440290001494
  46. Orbell S, 1998, BRIT J SOC PSYCHOL, V37, P151, DOI 10.1111/j.2044-8309.1998.tb01162.x
  47. Orbell S, 2006, HEALTH PSYCHOL, V25, P604, DOI 10.1037/0278-6133.25.5.604
  48. Ouellette JA, 1998, PSYCHOL BULL, V124, P54, DOI 10.1037/0033-2909.124.1.54
  49. Rich A, 2015, J BEHAV MED, V38, P673, DOI 10.1007/s10865-015-9644-3
  50. ROGERS RW, 1975, J PSYCHOL, V91, P93, DOI 10.1080/00223980.1975.9915803
  51. Schenker N, 2001, AM STAT, V55, P182, DOI 10.1198/000313001317097960
  52. Schwarzer R, 2008, APPL PSYCHOL-INT REV, V57, P1, DOI 10.1111/j.1464-0597.2007.00325.x
  53. SINGELIS TM, 1994, PERS SOC PSYCHOL B, V20, P580, DOI 10.1177/0146167294205014
  54. Sivell S, 2011, HEALTH EXPECT, V14, P6, DOI 10.1111/j.1369-7625.2009.00558.x
  55. Squires A, 2013, INT J NURS STUD, V50, P264, DOI 10.1016/j.ijnurstu.2012.02.015
  56. Tenenhaus M, 2005, COMPUT STAT DATA AN, V48, P159, DOI 10.1016/j.csda.2004.03.005
  57. van Bree RJH, 2015, PSYCHOL SPORT EXERC, V19, P95, DOI 10.1016/j.psychsport.2015.03.006
  58. Vo PT, 2015, FRONT PSYCHOL, V6, DOI 10.3389/fpsyg.2015.01114
  59. Watts GF, 2016, J ATHEROSCLER THROMB, V23, P891, DOI 10.5551/jat.35949
  60. Watts GF, 2015, INT J CARDIOL, V185, P69, DOI 10.1016/j.ijcard.2015.03.027
  61. Watts GF, 2011, ATHEROSCLEROSIS SUPP, V12, P221, DOI 10.1016/j.atherosclerosissup.2011.06.001
  62. Weinman J., 2018, ILLNESS PERCEPTION Q
  63. Wood W, 2017, PERS SOC PSYCHOL REV, V21, P389, DOI 10.1177/1088868317720362
  64. Zhang CQ, 2019, HEALTH PSYCHOL, V38, P623, DOI 10.1037/hea0000728

Coleções
Artigos e Materiais de Revistas Científicas - FM/MCP
Artigos e Materiais de Revistas Científicas - HC/InCor
Artigos e Materiais de Revistas Científicas - ODS/03