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考察加拿大老龄化纵向研究(CLSA)队列的市级代表性:基于卡尔加里参与者基线数据的分析。

Examining the municipal-level representativeness of the Canadian Longitudinal Study on Aging (CLSA) cohort: an analysis using Calgary participant baseline data.

机构信息

Faculty of Social Work, University of Calgary, Calgary, Alberta, Canada.

Brenda Strafford Centre on Aging, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.

出版信息

Health Promot Chronic Dis Prev Can. 2021 Feb;41(2):48-56. doi: 10.24095/hpcdp.41.2.03.

Abstract

INTRODUCTION

The Canadian Longitudinal Study on Aging (CLSA) is a rich, nationally representative population-based resource that can be used for multiple purposes. Although municipalities may wish to use CLSA data to address local policy needs, how well localized CLSA cohorts reflect municipal populations is unknown. Because Calgary, Alberta, is home to one of 11 CLSA data collection sites, our objective was to explore how well the Calgary CLSA sample represented the general Calgary population on select sociodemographic variables.

METHODS

Baseline characteristics (i.e. sex, marital status, ethnicity, education, retirement status, income, immigration, internal migration) of CLSA participants who visited the Calgary data collection site between 2011 and 2015 were compared to analogous profiles derived from the 2011 National Household Survey (NHS) and 2016 Census datasets, which spanned the years when data were collected on the CLSA participants.

RESULTS

Calgary CLSA participants were representative of the Calgary population for age, sex and Indigenous identity. Discrepancies of over 5% with the NHS and/or 2016 Census were found for marital status, measures of ethnic diversity (i.e. immigrant status, place of birth, non-official language spoken at home), internal migration, income, retirement status and education.

CONCLUSION

Voluntary studies face challenges in recruiting fully representative cohorts. Communities opting to use CLSA data at a municipal level, including the 10 other CLSA data collection sites, should exercise caution when interpreting the results of these analyses, as CLSA participants may not be fully representative of the local population on select characteristics of interest.

摘要

简介

加拿大老龄化纵向研究(CLSA)是一个丰富的、具有全国代表性的基于人群的资源,可用于多种目的。尽管市政当局可能希望使用 CLSA 数据来解决当地政策需求,但本地化的 CLSA 队列在多大程度上反映了城市人口尚不清楚。因为阿尔伯塔省卡尔加里是 11 个 CLSA 数据收集点之一,我们的目标是探索在选择社会人口统计学变量方面,卡尔加里 CLSA 样本与一般卡尔加里人口的代表性如何。

方法

比较了 2011 年至 2015 年期间访问卡尔加里数据收集点的 CLSA 参与者的基线特征(即性别、婚姻状况、族裔、教育、退休状况、收入、移民、国内迁移)与来自 2011 年全国住户调查(NHS)和 2016 年人口普查数据集的类似概况,这些数据集涵盖了收集 CLSA 参与者数据的年份。

结果

卡尔加里 CLSA 参与者在年龄、性别和原住民身份方面与卡尔加里人口具有代表性。在婚姻状况、族裔多样性衡量标准(即移民身份、出生地、家庭中使用的非官方语言)、国内迁移、收入、退休状况和教育方面,与 NHS 和/或 2016 年人口普查的差异超过 5%。

结论

自愿性研究在招募完全代表性队列方面面临挑战。选择在市级层面使用 CLSA 数据的社区,包括其他 10 个 CLSA 数据收集点,在解释这些分析的结果时应谨慎行事,因为 CLSA 参与者在某些感兴趣的特征上可能不完全代表当地人口。

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