Nagy Danielle K, Bresee Lauren C, Eurich Dean T, Simpson Scot H
Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, 2-35, Medical Sciences Building, 8613- 114 St, Edmonton, AB, T6G1C9, Canada.
Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N4Z6, Canada.
BMC Med Res Methodol. 2025 Mar 18;25(1):76. doi: 10.1186/s12874-025-02531-3.
An individual's location of residence may impact health, however, health services and outcomes research generally use a single point in time to define where an individual resides. While this estimate of residence becomes inaccurate when the study subject moves, the impact on observed associations is not known. This study quantifies the impact of different methods to define residence (rural, urban, metropolitan) on the association with all-cause mortality.
A diabetes cohort of new metformin users was identified from administrative data in Alberta, Canada between 2008 and 2019. An individual's residence (rural/urban/metropolitan) was defined from postal codes using 4 different methods: residence defined at 1-year before first metformin (this served as the reference model), comparison 1- stable residence for 3 years before first metformin, comparison 2- residence as time-varying (during the outcome observation window), and comparison 3 - nested case control (residence closest to the index date after identifying cases and controls). Multivariable Cox proportional hazard and logistic regression models were constructed to examine the association between residence definitions and all-cause mortality.
We identified 157,146 new metformin users (mean age of 55 years and 57% male) and 8,444 (5%) deaths occurred during the mean follow up of 4.7 (SD 2.3) years. There were few instances of moving after first metformin; 2.6% of individuals moved to a smaller centre (metropolitan to urban or rural, or urban to rural) and 3.1% moved to a larger centre (rural to urban or metropolitan, or urban to metropolitan). The association between rural residence and all-cause mortality was consistent (aHR:1.18; 95%CI:1.12-1.24), regardless of the method used to define residence.
The method used to define residence in a population of adults newly treated with metformin for type 2 diabetes has minimal impact on measures of all-cause mortality, possibly due to infrequent migration. The observed association between residence and mortality is compelling but requires further investigation and more robust analysis.
个人居住地点可能会影响健康,然而,卫生服务和结局研究通常使用某个时间点来定义个人的居住位置。当研究对象迁移时,这种居住位置的估计就会变得不准确,但其对观察到的关联的影响尚不清楚。本研究量化了不同居住位置定义方法(农村、城市、大都市)对全因死亡率关联的影响。
从加拿大艾伯塔省2008年至2019年的行政数据中识别出一个新使用二甲双胍的糖尿病队列。使用4种不同方法根据邮政编码定义个人的居住位置(农村/城市/大都市):在首次使用二甲双胍前1年定义的居住位置(作为参考模型),比较1 - 在首次使用二甲双胍前稳定居住3年,比较2 - 居住位置随时间变化(在结局观察窗口期间),以及比较3 - 巢式病例对照(在识别病例和对照后最接近索引日期的居住位置)。构建多变量Cox比例风险模型和逻辑回归模型,以检验居住位置定义与全因死亡率之间的关联。
我们识别出157,146名新使用二甲双胍的患者(平均年龄55岁,男性占57%),在平均4.7(标准差2.3)年的随访期间发生了8444例(5%)死亡。首次使用二甲双胍后迁移的情况很少;2.6%的个体迁移到较小的中心(从大都市到城市或农村,或从城市到农村),3.1%的个体迁移到较大的中心(从农村到城市或大都市,或从城市到大都市)。无论使用何种方法定义居住位置,农村居住位置与全因死亡率之间的关联都是一致的(校正风险比:1.18;95%置信区间:1.12 - 1.24)。
在新接受二甲双胍治疗的2型糖尿病成年人群中,用于定义居住位置的方法对全因死亡率测量的影响最小,这可能是由于迁移不频繁。观察到的居住位置与死亡率之间的关联很有说服力,但需要进一步调查和更有力的分析。