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Medicine-related beliefs predict attribution of symptoms to a sham medicine: A prospective study

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Medicine-related beliefs predict attribution of symptoms to a sham medicine : A prospective study. / Webster, Rebecca K.; Weinman, John; Rubin, G. James.

In: British Journal of Health Psychology, Vol. 23, No. 2, 05.2018, p. 436-454.

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Harvard

Webster, RK, Weinman, J & Rubin, GJ 2018, 'Medicine-related beliefs predict attribution of symptoms to a sham medicine: A prospective study', British Journal of Health Psychology, vol. 23, no. 2, pp. 436-454. https://doi.org/10.1111/bjhp.12298

APA

Webster, R. K., Weinman, J., & Rubin, G. J. (2018). Medicine-related beliefs predict attribution of symptoms to a sham medicine: A prospective study. British Journal of Health Psychology, 23(2), 436-454. https://doi.org/10.1111/bjhp.12298

Vancouver

Webster RK, Weinman J, Rubin GJ. Medicine-related beliefs predict attribution of symptoms to a sham medicine: A prospective study. British Journal of Health Psychology. 2018 May;23(2):436-454. https://doi.org/10.1111/bjhp.12298

Author

Webster, Rebecca K. ; Weinman, John ; Rubin, G. James. / Medicine-related beliefs predict attribution of symptoms to a sham medicine : A prospective study. In: British Journal of Health Psychology. 2018 ; Vol. 23, No. 2. pp. 436-454.

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@article{e91ee196d0174c679672574cb0b4fb36,
title = "Medicine-related beliefs predict attribution of symptoms to a sham medicine: A prospective study",
abstract = "ObjectivesTo investigate a range of possible predictors of nocebo responses to medicines.DesignProspective cohort study.MethodsIn total, 203 healthy adult volunteers completed measures concerning demographics, psychological factors, medicine-related beliefs, baseline symptoms, and symptom expectations before taking a sham pill, described as {\textquoteleft}a well-known tablet available without prescription{\textquoteright} that was known to be associated with several side effects. Associations between these measures and subsequent attribution of symptoms to the tablet were assessed using a hurdle model consisting of a joint logistic and truncated negative binomial regression.ResultsMen had an increased odds of attributing symptoms to the tablet OR = 1.52, and older participants had decreased odds, OR = 0.97. Medicine-related beliefs were important, with modern health worries, belief that medicines cause harm and perceived sensitivity to medicines associated with increased odds of symptom attribution, OR = 1.02, 1.10, 1.09, respectively. Trust in medicines and pharmaceutical companies decreased the odds of symptom attribution, OR = 0.91, 0.88, respectively. The number of symptoms at baseline and the expected likelihood of symptoms were associated with an increased odds of attributing symptoms to the tablet, OR = 1.07, 1.06, respectively. Anxiety, previous symptom experience, symptom expectations, and modern health worries were also important in predicting the number of symptoms participants attributed to the tablet.ConclusionIt is hard to predict who is at risk of developing nocebo responses to medicines from demographic or personality characteristics. Context-specific factors such as beliefs about and trust in medicines, current symptoms and symptom expectations are more useful as predictors. More work is needed to investigate this in a patient sample.",
author = "Webster, {Rebecca K.} and John Weinman and Rubin, {G. James}",
year = "2018",
month = may,
doi = "10.1111/bjhp.12298",
language = "English",
volume = "23",
pages = "436--454",
journal = "British Journal of Health Psychology",
issn = "1359-107X",
publisher = "Wiley-Blackwell",
number = "2",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - Medicine-related beliefs predict attribution of symptoms to a sham medicine

T2 - A prospective study

AU - Webster, Rebecca K.

AU - Weinman, John

AU - Rubin, G. James

PY - 2018/5

Y1 - 2018/5

N2 - ObjectivesTo investigate a range of possible predictors of nocebo responses to medicines.DesignProspective cohort study.MethodsIn total, 203 healthy adult volunteers completed measures concerning demographics, psychological factors, medicine-related beliefs, baseline symptoms, and symptom expectations before taking a sham pill, described as ‘a well-known tablet available without prescription’ that was known to be associated with several side effects. Associations between these measures and subsequent attribution of symptoms to the tablet were assessed using a hurdle model consisting of a joint logistic and truncated negative binomial regression.ResultsMen had an increased odds of attributing symptoms to the tablet OR = 1.52, and older participants had decreased odds, OR = 0.97. Medicine-related beliefs were important, with modern health worries, belief that medicines cause harm and perceived sensitivity to medicines associated with increased odds of symptom attribution, OR = 1.02, 1.10, 1.09, respectively. Trust in medicines and pharmaceutical companies decreased the odds of symptom attribution, OR = 0.91, 0.88, respectively. The number of symptoms at baseline and the expected likelihood of symptoms were associated with an increased odds of attributing symptoms to the tablet, OR = 1.07, 1.06, respectively. Anxiety, previous symptom experience, symptom expectations, and modern health worries were also important in predicting the number of symptoms participants attributed to the tablet.ConclusionIt is hard to predict who is at risk of developing nocebo responses to medicines from demographic or personality characteristics. Context-specific factors such as beliefs about and trust in medicines, current symptoms and symptom expectations are more useful as predictors. More work is needed to investigate this in a patient sample.

AB - ObjectivesTo investigate a range of possible predictors of nocebo responses to medicines.DesignProspective cohort study.MethodsIn total, 203 healthy adult volunteers completed measures concerning demographics, psychological factors, medicine-related beliefs, baseline symptoms, and symptom expectations before taking a sham pill, described as ‘a well-known tablet available without prescription’ that was known to be associated with several side effects. Associations between these measures and subsequent attribution of symptoms to the tablet were assessed using a hurdle model consisting of a joint logistic and truncated negative binomial regression.ResultsMen had an increased odds of attributing symptoms to the tablet OR = 1.52, and older participants had decreased odds, OR = 0.97. Medicine-related beliefs were important, with modern health worries, belief that medicines cause harm and perceived sensitivity to medicines associated with increased odds of symptom attribution, OR = 1.02, 1.10, 1.09, respectively. Trust in medicines and pharmaceutical companies decreased the odds of symptom attribution, OR = 0.91, 0.88, respectively. The number of symptoms at baseline and the expected likelihood of symptoms were associated with an increased odds of attributing symptoms to the tablet, OR = 1.07, 1.06, respectively. Anxiety, previous symptom experience, symptom expectations, and modern health worries were also important in predicting the number of symptoms participants attributed to the tablet.ConclusionIt is hard to predict who is at risk of developing nocebo responses to medicines from demographic or personality characteristics. Context-specific factors such as beliefs about and trust in medicines, current symptoms and symptom expectations are more useful as predictors. More work is needed to investigate this in a patient sample.

U2 - 10.1111/bjhp.12298

DO - 10.1111/bjhp.12298

M3 - Article

VL - 23

SP - 436

EP - 454

JO - British Journal of Health Psychology

JF - British Journal of Health Psychology

SN - 1359-107X

IS - 2

ER -

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