Psychological determinants and evidence-based behavior change interventions in adherence to therapy for familial hypercholesterolemia.

Martin S Hagger, Kyra Hamilton
Author Information
  1. Martin S Hagger: Department of Psychological Sciences.
  2. Kyra Hamilton: Health Sciences Research Institute, University of California, Merced, California.

Abstract

PURPOSE OF REVIEW: Patients with familial hypercholesterolemia have an elevated risk of premature atherosclerotic cardiovascular disease. Risks can be minimized through pharmacological and 'lifestyle' behavioral (low fat diet, physical activity) therapies, although therapeutic adherence is sub-optimal. Behavioral interventions to promote familial hypercholesterolemia therapy adherence should be informed by theory-based psychological determinants for maximal efficacy. The current review summarizes research on determinants of familial hypercholesterolemia therapy adherence and behavior change interventions, identifies limitations of the extant research, and sets future research agenda.
RECENT FINDINGS: A recent meta-analysis identified attitudes, subjective norms, self-efficacy, and risk perceptions as key determinants of familial hypercholesterolemia therapy adherence intentions, with intentions identified as a key correlate of concurrent behavior. Studies have specified techniques targeting key theory-based determinants that may be efficacious in interventions. Research is limited by overuse of cross-sectional correlational study designs, use of self-report behavioral measures, few theory-based intervention tests, and limited consideration of nonconscious processes and effects of socio-structural variables.
SUMMARY: Researchers should adopt study designs permitting better directional and causal inferences in determinant effects, provide tests of interventions targeting determinants and their mechanisms of action, consider determinants representing nonconscious processes (habits, implicit attitudes), and test determinants as mediators of socio-structural variables on familial hypercholesterolemia therapy adherence.

References

  1. Romero-Jiménez MJ, Mansilla-Rodríguez ME. Predictors of cardiovascular risk in familial hypercholesterolemia. Curr Opin Endocrinol Diabetes Obes 2024; 31:191–196.
  2. Gidding SS. Special commentary: is diet management helpful in familial hypercholesterolemia? Curr Opin Clin Nutr Metab Care 2019; 22:135–140.
  3. Fahed AC, Wang M, Patel AP, et al. Association of the interaction between familial hypercholesterolemia variants and adherence to a healthy lifestyle with risk of coronary artery disease. JAMA Netw Open 2022; 5:e222687.
  4. Antoniazzi L, Arroyo-Olivares R, Bittencourt MS, et al. Adherence to a Mediterranean diet, dyslipidemia and inflammation in familial hypercholesterolemia. Nutr Metab Carbiovasc Dis 2021; 31:2014–2022.
  5. Pang J, Sanfilippo FM, Chan DC, et al. Adherence to pharmacotherapy: Sine qua non for reducing cumulative risk of premature coronary disease in familial hypercholesterolemia. Curr Opin Endocrinol Diabetes Obes 2024; 31:22–30.
  6. Watts GF, Gidding SS, Hegele RA, et al. International Atherosclerosis Society guidance for implementing best practice in the care of familial hypercholesterolaemia. Nat Rev Cardiol 2023; 20:845–869.
  7. Galema-Boers JMH, Lenzen MJ, van Domburg RT, et al. Predicting nonadherence in patients with familial hypercholesterolemia. Eur J Clin Pharmacol 2014; 70:391–397.
  8. Langslet G, Johansen AK, Bogsrud MP, et al. Thirty percentage of children and young adults with familial hypercholesterolemia treated with statins have adherence issues. Am J Prev Cardiol 2021; 6:100180.
  9. Hagger MS. Psychological determinants of health behavior. Ann Rev Psychol 2025; 76:21.21–21.30.
  10. Michie S, Carey RN, Johnston M, et al. From theory-inspired to theory-based interventions: a protocol for developing and testing a methodology for linking behaviour change techniques to theoretical mechanisms of action. Ann Behav Med 2018; 52:501–512.
  11. Sheeran P, Suls J, Bryan A, et al. Activation versus change as a principle underlying intervention strategies to promote health behaviors. Ann Behav Med 2023; 57:205–215.
  12. Albarracín D, Fayaz-Farkhad B, Granados Samayoa JA. Determinants of behaviour and their efficacy as targets of behavioural change interventions. Nat Rev Psychol 2024; 3:377–392.
  13. Rhodes RE, McEwan D, Rebar AL. Theories of physical activity behaviour change: a history and synthesis of approaches. Psychol Sport Exerc 2019; 42:
  14. Hagger MS, Hamilton K, Hardcastle SJ, et al. Predicting intention to participate in self-management behaviors in patients with familial hypercholesterolemia: a cross-national study. Soc Sci Med 2019; 242:112591.
  15. Mulder JWCM, Galema-Boers AMH, de Jong-Verweij LM, et al. The development and first results of a health-related outcomes set in familial hypercholesterolemia (FH) patients: knowledge is health. Atherosclerosis 2020; 293:11–17.
  16. Massey H, Jennings B, Miedzybrodzka Z. Understanding how educational interventions improve treatment adherence in patients with familial hypercholesterolaemia: a systematic review. J Commun Gen 2023; 14:5–15.
  17. Bandura A. Social cognitive theory: an agentic perspective on human nature. Hoboken, NJ:John Wiley & Sons; 2023.
  18. Balla J, Hagger MS. Protection motivation theory and health behavior: conceptual review, discussion of limitations, and recommendations for best practice and future research. Health Psychol Rev 2024; doi: https://doi.org/10.1080/17437199.2024.2413011. [Online ahead of print]. [DOI: 10.1080/17437199.2024.2413011.]
  19. Claassen L, Henneman L, Kindt I, et al. Perceived risk and representations of cardiovascular disease and preventive behaviour in people diagnosed with familial hypercholesterolemia. J Health Psychol 2010; 15:33–43.
  20. Majeed R, Hamilton K, Watts GF, et al. Social cognition correlates of self-management behaviors in patients with familial hypercholesterolemia (FH): a meta-analytic review. Soc Sci Med 2024; 351:116968.
  21. Hagger MS, Moyers S, McAnally K, et al. Known knowns and known unknowns on behavior change interventions and mechanisms of action. Health Psychol Rev 2020; 14:199–212.
  22. Jones LK, Gidding SS, Seaton TL, et al. Developing implementation strategies to improve uptake of guideline-recommended treatments for individuals with familial hypercholesterolemia: a protocol. Res Soc Adm Pharm 2020; 16:390–395.
  23. Kinnear FJ, Wainwright E, Bourne JE, et al. The development of a theory informed behaviour change intervention to improve adherence to dietary and physical activity treatment guidelines in individuals with familial hypercholesterolaemia (FH). BMC Health Serv Res 2020; 20:27.
  24. Roy G, Boucher A, Couture P, et al. Impact of diet on plasma lipids in individuals with heterozygous familial hypercholesterolemia: a systematic review of randomized controlled nutritional studies. Nutrients 2021; 13:235.
  25. Broekhuizen K, van Poppel MNM, Koppes LL, et al. Can multiple lifestyle behaviours be improved in people with familial hypercholesterolemia? Results of a parallel randomised controlled trial. PLoS One 2012; 7:8.
  26. Beyece İncazli S, Özer S, Kayikçioğlu M. Evaluation of the effectiveness of individually tailored lifestyle intervention in patients with familial hypercholesterolemia. J Cardiovasc Nurs 2022; 37:465–474.
  27. Hagger MS, Hardcastle SJ, Hu M, et al. Effects of medication, treatment, and behavioral beliefs on intentions to take medication in patients with familial hypercholesterolemia. Atherosclerosis 2018; 277:493–501.
  28. Hagger MS, Hardcastle SJ, Hingley C, et al. Predicting self-management behaviors in familial hypercholesterolemia using an integrated theoretical model: the impact of beliefs about illnesses and beliefs about behaviors. Int J Behav Med 2016; 23:282–294.
  29. Rohrer JM. Causal inference for psychologists who think that causal inference is not for them. Soc Personal Psychol Compass 2024; 18:e12948.
  30. Hagger MS, Hamilton K. Longitudinal tests of the theory of planned behaviour: a meta-analysis. Eur Rev Soc Psychol 2024; 35:198–254.
  31. Rothman AJ, Klein WMP, Sheeran P. Moving from theoretical principles to intervention strategies: applying the experimental medicine approach. In: Hagger MS, Cameron LD, Hamilton K, et al., editors. The handbook of behavior change. New York, NY: Cambridge University Press; 2020. pp. 285--299.
  32. Hagger MS, Cameron LD, Hamilton K, et al. Changing behavior: a theory- and evidence-based approach. In: Hagger MS, Cameron LD, Hamilton K, et al., editors. The handbook of behavior change. New York, NY: Cambridge University Press; 2020. pp. 1--14.
  33. Dang J, King KM, Inzlicht M. Why are self-report and behavioral measures weakly correlated? Trends Cogn Sci 2020; 24:267–269.
  34. Chan D. So why ask me? Are self-report data really that bad? In: Lance CE, Vandenberg RJ, editors. Statistical and methodological myths and urban legends: doctrine, verity and fable in organizational and social sciences. 1st ed. New York, NY: Routledge; 2008. pp. 309--332.
  35. Hagger MS, Hamilton K, Phipps DJ, et al. Effects of habit and intention on behavior: meta-analysis and test of key moderators. Motiv Sci 2023; 9:73–94.
  36. Deutsch R, Strack F. Changing behavior using the reflective-impulsive model. In: Hagger MS, Cameron LD, Hamilton K, et al., editors. Handbook of behavior change. New York, NY: Cambridge University Press; 2020. pp. 164--177.
  37. Sheeran P, Gollwitzer PM, Bargh JA. Nonconscious processes and health. Health Psychol 2013; 32:460–473.
  38. Rebar AL, Dimmock JA, Jackson B, et al. A systematic review of the effects of nonconscious regulatory processes in physical activity. Health Psychol Rev 2016; 10:395–407.
  39. Gardner B, Rebar A, Lally P. Habit interventions. In: Hagger MS, Cameron LD, Hamilton K et al., editors. The handbook of behavior change. New York, NY: Cambridge University Press; 2020. pp. 599--616.
  40. Duckworth AL, Gross JJ. Behavior change. Organ Behav Hum Decis Process 2020; 161:39–49.
  41. Gardner B, Arden MA, Brown D, et al. Developing habit-based health behaviour change interventions: twenty-one questions to guide future research. Psychol Health 2023; 38:518–540.
  42. Masley S, Phillips S, Copeland J. Group office visits change dietary habits of patients with coronary artery disease: the Dietary Intervention and Evaluation Trial (D.I.E.T.). J Fam Prac 2001; 50:235–239.
  43. Couch SC, Daniels SR, Deckelbaum RJ. Current concepts of diet therapy for children with hypercholesterolemia. Prog Pediatr Cardiol 2003; 17:179–186.
  44. Petrovic D, de Mestral C, Bochud M, et al. The contribution of health behaviors to socioeconomic inequalities in health: a systematic review. Prev Med 2018; 113:15–31.
  45. Nutbeam D, Lloyd JE. Understanding and responding to health literacy as a social determinant of health. Ann Rev Pub Health 2021; 42:159–173.
  46. Stringhini S, Sabia S, Shipley M, et al. Association of socioeconomic position with health behaviors and mortality. JAMA 2010; 303:1159–1166.
  47. Amrock SM, Duell PB, Knickelbine T, et al. Health disparities among adult patients with a phenotypic diagnosis of familial hypercholesterolemia in the CASCADE-FH™ patient registry. Atherosclerosis 2017; 267:19–26.
  48. Hagger MS, Hardcastle SJ, Hu M, et al. Health literacy in familial hypercholesterolemia: a cross-national study. Eur J Prev Cardiol 2018; 25:936–943.
  49. Althoff T, Sosič R, Hicks JL, et al. Large-scale physical activity data reveal worldwide activity inequality. Nature 2017; 547:336–339.
  50. Doherty A, Jackson D, Hammerla N, et al. Large scale population assessment of physical activity using wrist worn accelerometers: the UK biobank study. PLoS One 2017; 12:e0169649.
  51. Schüz B, Webb Hooper M. Addressing underserved populations and disparities in behavior change. In: Hagger MS, Cameron LD, Hamilton K, et al., editors. Handbook of behavior change. New York, NY: Cambridge University Press; 2020. pp. 385--400.
  52. Hagger MS, Hamilton K. Effects of socio-structural variables in the theory of planned behavior: a mediation model in multiple samples and behaviors. Psychol Health 2021; 36:307–333.
  53. McAnally K, Hagger MS. Health literacy, social cognition constructs, and health behaviors and outcomes: a meta-analysis. Health Psychol 2023; 42:213–234.
  54. Orbell S, Szczepura A, Weller D, et al. South Asian ethnicity, socio-economic status and psychological mediators of faecal occult blood colorectal screening participation: a prospective test of a process model. Health Psychol 2017; 36:1161–1172.

Word Cloud

Created with Highcharts 10.0.0determinantsfamilialhypercholesterolemiaadherenceinterventionstherapytheory-basedresearchbehaviorkeyriskbehavioralchangeidentifiedattitudesintentionstargetinglimitedstudydesignstestsnonconsciousprocesseseffectssocio-structuralvariablesPURPOSEOFREVIEW:PatientselevatedprematureatheroscleroticcardiovasculardiseaseRiskscanminimizedpharmacological'lifestyle'lowfatdietphysicalactivitytherapiesalthoughtherapeuticsub-optimalBehavioralpromoteinformedpsychologicalmaximalefficacycurrentreviewsummarizesidentifieslimitationsextantsetsfutureagendaRECENTFINDINGS:recentmeta-analysissubjectivenormsself-efficacyperceptionscorrelateconcurrentStudiesspecifiedtechniquesmayefficaciousResearchoverusecross-sectionalcorrelationaluseself-reportmeasuresinterventionconsiderationSUMMARY:ResearchersadoptpermittingbetterdirectionalcausalinferencesdeterminantprovidemechanismsactionconsiderrepresentinghabitsimplicittestmediatorsPsychologicalevidence-based

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