Department of Epidemiology, School of Public Health, University of Pittsburgh, 130 N Bellefield Avenue, Suite 300, Pittsburgh, PA, 15213, USA.
Department of Health Policy and Management, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
BMC Geriatr. 2024 Sep 19;24(1):773. doi: 10.1186/s12877-024-05301-w.
Most older adults use medications that may increase falls, often defined as fall risk increasing drugs or "FRIDs". Two definitions for FRIDs, the Centers for Disease Control and Prevention's (CDC) Stopping Elderly Accidents, Deaths & Injuries (STEADI-R) and Swedish National Board of Health and Welfare (SNBHW) definitions, are widely accepted, though include different FRIDs in their definitions. Whether factors associated with FRID use in older adults differ by definition is unknown.
We hypothesized that factors for FRID use will vary by FRID definition in 1,352 community-dwelling older Black and White adults with medication information in the Health, Aging and Body Composition Study (Health ABC; 2007-08 clinic visit; 83.4 ± 2.8 years; 54.1% women; 65.1% White). Multivariable logistic regression and multivariable negative binomial regression, progressively entering groups of covariates (demographics, lifestyle/behavior factors, and multimorbidity), modeled FRID use (yes/no) and count.
Of 87.0% participants using SNBHW FRIDs, 82.9% used cardiac medications, with lower use of all other FRIDs (range:1.1-12.4%). Of 86.6% participants using STEADI-R FRIDs, 80.5% used cardiac medications, with lower use of all other FRIDs (range:1.1-16.1%). Participants with FRID use by either definition were more likely to have chronic health conditions, a hospitalization in the prior year, higher non-FRIDs medication counts, higher Center for Epidemiologic Studies Depression Scale (CES-D) scores, and less physical activity (all p < 0.05). Participants with STEADI-R FRID use had poorer vision and higher Modified Mini-Mental State (3MS) scores. In multivariable logistic regression for SNBHW use, hypertension, body mass index (BMI), 3MS scores, and non-FRID count were positively associated with FRID use and poorer vision and Digit Symbol Substitution Test (DSST) scores were negatively associated. In addition to SNBHW factors, higher CES-D scores were associated with STEADI-R FRID use. In multivariable negative binomial regression, hypertension, higher BMI, CES-D scores, and non-FRID count were associated with higher FRID count and sleep problems with lower FRID count for both definitions. Higher 3MS and lower DSST scores were associated with higher STEADI-R FRID count. Women had lower SNBHW FRID count after adjustments.
Risk factors for FRID use in older adults differ slightly by STEADI-R and SNBHW FRIDs definition, but are largely similar.
大多数老年人使用可能增加跌倒风险的药物,这些药物通常被定义为增加跌倒风险的药物或“FRIDs”。两种 FRIDs 的定义,即疾病控制与预防中心(CDC)的停止老年人意外、死亡和伤害(STEADI-R)和瑞典国家卫生和福利委员会(SNBHW)的定义,被广泛接受,但在其定义中包含不同的 FRIDs。在老年人中,与 FRID 使用相关的因素是否因定义而异尚不清楚。
我们假设在有药物信息的 1352 名社区居住的黑人和白人老年人中(健康、衰老和身体成分研究;2007-08 年诊所就诊;83.4±2.8 岁;54.1%为女性;65.1%为白人),FRID 使用的因素将根据 FRID 定义而有所不同。多变量逻辑回归和多变量负二项回归,逐步纳入组间协变量(人口统计学、生活方式/行为因素和多种合并症),对 FRID 使用(是/否)和计数进行建模。
在使用 SNBHW FRIDs 的 87.0%参与者中,82.9%使用心脏药物,而其他所有 FRIDs 的使用率较低(范围:1.1-12.4%)。在使用 STEADI-R FRIDs 的 86.6%参与者中,80.5%使用心脏药物,而其他所有 FRIDs 的使用率较低(范围:1.1-16.1%)。根据任何一种定义使用 FRID 的参与者更有可能患有慢性健康状况、过去一年中有住院治疗、服用非 FRID 药物的数量更多、接受了更高的流行病学研究中心抑郁量表(CES-D)评分、以及更少的身体活动(所有 p 值均<0.05)。使用 STEADI-R FRID 的参与者视力更差,改良简易精神状态检查(3MS)评分更高。在 SNBHW 使用的多变量逻辑回归中,高血压、体重指数(BMI)、3MS 评分和非 FRID 计数与 FRID 使用呈正相关,而视力和数字符号替代测试(DSST)评分与 FRID 使用呈负相关。除了 SNBHW 因素外,更高的 CES-D 评分与 STEADI-R FRID 使用相关。在多变量负二项回归中,高血压、更高的 BMI、CES-D 评分和非 FRID 计数与更高的 FRID 计数相关,而睡眠问题与 FRID 计数较低相关,两种定义均如此。更高的 3MS 和更低的 DSST 评分与 STEADI-R FRID 计数更高相关。调整后,女性 SNBHW FRID 计数较低。
老年人 FRID 使用的风险因素略有不同,但与 STEADI-R 和 SNBHW FRIDs 定义基本相似。