School of Pharmacy, Keele University, Keele, UK.
BMJ Open. 2018 Mar 14;8(3):e020270. doi: 10.1136/bmjopen-2017-020270.
While older age and ill health are known to be associated with polypharmacy, this paper aims to identify whether wealth, body mass index (BMI), smoking and alcohol consumption are also associated with polypharmacy (5-9 prescribed medications) and hyperpolypharmacy prevalence (≥10 prescribed medications), among older people living in England.
Cross-sectional study.
The English Longitudinal Study of Ageing Wave 6 (2012-2013).
7730 participants aged over 50 years.
Two multivariate models were created. HR with corresponding 95% CI, for polypharmacy and hyperpolypharmacy, were calculated after adjusting for gender, age, wealth, smoking, alcohol consumption, BMI, self-rated health and the presence of a chronic health condition.
Lower wealth (lowest wealth quintile vs highest wealth quintile, adjusted HR 1.28; 95% CI 1.04 to 1.69, P=0.02) and obesity (adjusted HR 1.81; 95% CI 1.53 to 2.15, p<0.01) were significantly associated with polypharmacy. Increasing age (50-59 years vs 70-79 years, adjusted HR 3.42; 95% CI 2.81 to 4.77, p<0.01) and the presence of a chronic health condition (adjusted HR 2.94; 95% CI 2.55 to 3.39, p<0.01) were also associated with polypharmacy. No statistically significant association between smoking and polypharmacy (adjusted HR 1.06; 95% CI 0.86 to 1.29, P=0.56) was established; while, very frequent alcohol consumption (consuming alcohol >5 times per week) was inversely associated with polypharmacy (never drank alcohol vs very frequently, adjusted HR 0.64; 95% CI 0.52 to 0.78, p<0.01). The adjusted HR for hyperpolypharmacy was accentuated, compared with polypharmacy.
This study has identified that lower wealth, obesity, increasing age and chronic health conditions are significantly associated with polypharmacy and hyperpolypharmacy prevalence. The effect of these factors, on polypharmacy and especially hyperpolypharmacy prevalence, is likely to become more pronounced with the widening gap in UK wealth inequalities, the current obesity epidemic and the growing population of older people. The alcohol findings contribute to the debate on the relationship between alcohol consumption and health.
虽然年龄较大和健康状况不佳与多种药物治疗有关,但本文旨在确定财富、体重指数(BMI)、吸烟和饮酒是否也与老年人的多种药物治疗(5-9 种规定药物)和高多种药物治疗(≥10 种规定药物)有关。
横断面研究。
英国老龄化纵向研究第 6 波(2012-2013 年)。
7730 名 50 岁以上的参与者。
创建了两个多变量模型。在调整性别、年龄、财富、吸烟、饮酒、BMI、自我评估健康状况和慢性健康状况后,计算了多种药物治疗和高多种药物治疗的优势比(HR)和相应的 95%置信区间(CI)。
较低的财富(最低财富五分位数与最高财富五分位数相比,调整后的 HR 为 1.28;95%CI 为 1.04 至 1.69,P=0.02)和肥胖(调整后的 HR 为 1.81;95%CI 为 1.53 至 2.15,p<0.01)与多种药物治疗显著相关。年龄增长(50-59 岁与 70-79 岁相比,调整后的 HR 为 3.42;95%CI 为 2.81 至 4.77,p<0.01)和存在慢性健康状况(调整后的 HR 为 2.94;95%CI 为 2.55 至 3.39,p<0.01)也与多种药物治疗有关。吸烟与多种药物治疗之间没有建立统计学上显著的关联(调整后的 HR 为 1.06;95%CI 为 0.86 至 1.29,P=0.56);然而,频繁饮酒(每周饮酒>5 次)与多种药物治疗呈负相关(从不饮酒与频繁饮酒相比,调整后的 HR 为 0.64;95%CI 为 0.52 至 0.78,p<0.01)。与多种药物治疗相比,高多种药物治疗的调整后的 HR 更加明显。
本研究确定,较低的财富、肥胖、年龄增长和慢性健康状况与多种药物治疗和高多种药物治疗的流行显著相关。随着英国财富不平等差距的扩大、当前肥胖流行和老年人人口的增长,这些因素对多种药物治疗,尤其是高多种药物治疗流行的影响可能会更加明显。饮酒方面的发现有助于就饮酒与健康之间的关系展开辩论。