Realo Anu, van Middendorp Henriët, Kööts-Ausmees Liisi, Allik Jüri, Evers Andrea W M
Department of Psychology, University of Warwick, Coventry, UK.
Department of Psychology, University of Tartu, Tartu, Estonia.
BMJ Open. 2018 Jul 10;8(7):e022428. doi: 10.1136/bmjopen-2018-022428.
To examine the role of the Five Factor Model (FFM) personality traits in reporting the development of adverse drug reactions (ADRs) when controlling for sociodemographic variables and health status.
Prospective cohort study.
The Estonian Biobank of the Estonian Genome Centre, University of Tartu.
814 women and 543 men (mean age=47.9 years; =15.2) who after the initial enrolment in the Estonian Biobank were re-contacted for follow-up purposes about 5.3 years after the enrolment and for whom both self- and informant-reported personality data were available.
Participants who did not report having any ADRs at baseline but who reported ADRs at the follow-up about 5.3 years later versus participants who did not report any ADRs at either time point. The reports of developing ADRs were predicted from the FFM personality traits after statistically controlling for sociodemographic variables (age, gender and education), baseline indicators of health status (number of diagnoses and medicines taken, body mass index and blood pressure), and the change in health status between the two measurements.
The results of a hierarchical binary logistic regression analysis showed that participants who reported the development of ADRs between the two measurements had higher levels of conscientiousness, were more likely to be women, were taking more medicines at baseline and had a higher increase in the number of medicines taken during the study period than participants who did not report any ADRs at either time point (all p values <0.05). Higher neuroticism (p=0.067) and a higher number of diagnosed diseases at baseline (p=0.053) also made marginal contributions to predicting the development of ADRs.
This study shows for the first time that higher levels of conscientiousness and neuroticism are associated with reporting the development of ADRs.
在控制社会人口统计学变量和健康状况的情况下，研究五因素模型（FFM）人格特质在报告药物不良反应（ADR）发生情况中的作用。
前瞻性队列研究。
塔尔图大学爱沙尼亚基因组中心的爱沙尼亚生物银行。
814名女性和543名男性（平均年龄=47.9岁；标准差=15.2），他们在最初加入爱沙尼亚生物银行后，在入组约5.3年后被再次联系进行随访，且同时有自我报告和他人报告的人格数据。
在基线时未报告有任何ADR，但在约5.3年后的随访中报告有ADR的参与者，与在两个时间点均未报告任何ADR的参与者进行对比。在对社会人口统计学变量（年龄、性别和教育程度）、健康状况的基线指标（诊断次数和服用药物数量、体重指数和血压）以及两次测量之间的健康状况变化进行统计学控制后，从FFM人格特质预测ADR的发生情况。
分层二元逻辑回归分析结果显示，在两次测量之间报告有ADR发生的参与者，与在两个时间点均未报告任何ADR的参与者相比，尽责性水平更高，更可能为女性，基线时服用的药物更多，且在研究期间服用药物数量的增加幅度更大（所有p值<0.05）。较高的神经质水平（p=0.067）和基线时较高的确诊疾病数量（p=0.053）对预测ADR的发生也有边际贡献。
本研究首次表明，较高的尽责性和神经质水平与报告ADR的发生有关。
