Literature DB >> 27086320

The role of time and risk preferences in adherence to physician advice on health behavior change.

Marjon van der Pol1, Deirdre Hennessy2, Braden Manns3.   

Abstract

Changing physical activity and dietary behavior in chronic disease patients is associated with significant health benefits but is difficult to achieve. An often-used strategy is for the physician or other health professional to encourage behavior changes by providing advice on the health consequences of such behaviors. However, adherence to advice on health behavior change varies across individuals. This paper uses data from a population-based cross-sectional survey of 1849 individuals with chronic disease to explore whether differences in individuals' time and risk preferences can help explain differences in adherence. Health behaviors are viewed as investments in health capital within the Grossman model. Physician advice plays a role in the model in that it improves the understanding of the future health consequences of investments. It can be hypothesized that the effect of advice on health behavior will depend on an individuals' time and risk preference. Within the survey, which measured a variety of health-related behaviors and outcomes, including receipt and compliance with advice on dietary and physical activity changes, time preferences were measured using financial planning horizon, and risk preferences were measured through a commonly used question which asked respondents to indicate their willingness to take risks on a ten-point scale. Results suggest that time preferences play a role in adherence to physical activity advice. While time preferences also play a role in adherence to dietary advice, this effect is only apparent for males. Risk preferences do not seem to be associated with adherence. The results suggest that increasing the salience of more immediate benefits of health behavior change may improve adherence.

Entities:  

Keywords:  Adherence; Risk preference; Time preference

Mesh:

Year:  2016        PMID: 27086320     DOI: 10.1007/s10198-016-0800-7

Source DB:  PubMed          Journal:  Eur J Health Econ        ISSN: 1618-7598


  23 in total

1.  Private and social time preferences for health and money: an empirical estimation.

Authors:  A Lazaro; R Barberan; E Rubio
Journal:  Health Econ       Date:  2001-06       Impact factor: 3.046

2.  Uncertainty and the demand for medical care.

Authors:  V Dardanoni; A Wagstaff
Journal:  J Health Econ       Date:  1990-06       Impact factor: 3.883

3.  Time preference, time discounting, and smoking decisions.

Authors:  Ahmed Khwaja; Dan Silverman; Frank Sloan
Journal:  J Health Econ       Date:  2007-03-12       Impact factor: 3.883

4.  Time perspective, personality and smoking, body mass, and physical activity: an empirical study.

Authors:  Jean Adams; Daniel Nettle
Journal:  Br J Health Psychol       Date:  2008-04-23

5.  Perceived probability, perceived severity, and health-protective behavior.

Authors:  N D Weinstein
Journal:  Health Psychol       Date:  2000-01       Impact factor: 4.267

6.  Time and risk preferences and the use of asthma controller medication.

Authors:  Sylvia Brandt; Brenton Dickinson
Journal:  Pediatrics       Date:  2013-03-11       Impact factor: 7.124

7.  A population-based risk algorithm for the development of diabetes: development and validation of the Diabetes Population Risk Tool (DPoRT).

Authors:  Laura C Rosella; Douglas G Manuel; Charles Burchill; Thérèse A Stukel
Journal:  J Epidemiol Community Health       Date:  2010-06-01       Impact factor: 3.710

Review 8.  Does temporal discounting explain unhealthy behavior? A systematic review and reinforcement learning perspective.

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Journal:  Front Behav Neurosci       Date:  2014-03-12       Impact factor: 3.558

9.  Predicting Stroke Risk Based on Health Behaviours: Development of the Stroke Population Risk Tool (SPoRT).

Authors:  Douglas G Manuel; Meltem Tuna; Richard Perez; Peter Tanuseputro; Deirdre Hennessy; Carol Bennett; Laura Rosella; Claudia Sanmartin; Carl van Walraven; Jack V Tu
Journal:  PLoS One       Date:  2015-12-04       Impact factor: 3.240

10.  Determinants of patient adherence: a review of systematic reviews.

Authors:  Przemyslaw Kardas; Pawel Lewek; Michal Matyjaszczyk
Journal:  Front Pharmacol       Date:  2013-07-25       Impact factor: 5.810

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  9 in total

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Authors:  David Zweiker; Robert Zweiker; Elisabeth Winkler; Konstantina Roesch; Martin Schumacher; Vinzenz Stepan; Peter Krippl; Norbert Bauer; Martin Heine; Gerhard Reicht; Gudrun Zweiker; Martin Sprenger; Norbert Watzinger
Journal:  BMJ Open       Date:  2017-09-25       Impact factor: 2.692

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Authors:  Jaeho Lee; Yeol Kim; Mina Suh; Seri Hong; Kui Son Choi
Journal:  BMJ Open       Date:  2020-07-23       Impact factor: 2.692

4.  The Effect of Individual Time Preferences on Smoking Behavior: Insights from Behavioral Economics.

Authors:  Moslem Soofi; Ali Akbari Sari; Farid Najafi
Journal:  Iran J Public Health       Date:  2020-09       Impact factor: 1.429

5.  Ancestry specific associations of a genetic risk score, dietary patterns and metabolic syndrome: a longitudinal ARIC study.

Authors:  Dale S Hardy; Susan B Racette; Jane T Garvin; Hirut T Gebrekristos; Tesfaye B Mersha
Journal:  BMC Med Genomics       Date:  2021-05-01       Impact factor: 3.622

6.  Behavioural and patient-individual determinants of quality of life, functioning and physical activity in older adults (MobilE-TRA 2): study protocol of an observational cohort study in a tertiary care setting.

Authors:  Benedict Katzenberger; Lars Schwettmann; Martin Weigl; Alexander Paulus; Sara Pedron; Sebastian Fuchs; Daniela Koller; Eva Grill
Journal:  BMJ Open       Date:  2021-12-09       Impact factor: 2.692

Review 7.  Patient Preferences for Oral Anticoagulation Therapy in Atrial Fibrillation: A Systematic Literature Review.

Authors:  Thomas Wilke; Sabine Bauer; Sabrina Mueller; Thomas Kohlmann; Rupert Bauersachs
Journal:  Patient       Date:  2017-02       Impact factor: 3.883

8.  Using Insights from Behavioral Economics to Mitigate the Spread of COVID-19.

Authors:  Moslem Soofi; Farid Najafi; Behzad Karami-Matin
Journal:  Appl Health Econ Health Policy       Date:  2020-06       Impact factor: 3.686

9.  Time preference, outcome expectancy, and self-management in patients with type 2 diabetes.

Authors:  Florian M Karl; Rolf Holle; Lars Schwettmann; Annette Peters; Michael Laxy
Journal:  Patient Prefer Adherence       Date:  2018-09-26       Impact factor: 2.314

  9 in total

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