Hoogendijk Emiel O, van Schoor Natasja M, Qi Yuwei, Visser Marjolein, Swinkels Joukje C, Broese van Groenou Marjolein I, Kok Almar A L, Holwerda Tjalling J, Pasman H Roeline W, Onwuteaka-Philipsen Bregje D, Remmelzwaal Sharon, van Ingen Erik, van Tilburg Theo G, van Haaster Aimée-Claire, van der Horst Marleen, Poppelaars Jan, Deeg Dorly J H, Huisman Martijn
Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC- Location VU University Medical Center, Amsterdam, The Netherlands.
Department of General Practice, Amsterdam Public Health Research Institute, Amsterdam UMC- Location VU University Medical Center, Amsterdam, The Netherlands.
Eur J Epidemiol. 2025 May 14. doi: 10.1007/s10654-025-01238-5.
The Longitudinal Aging Study Amsterdam (LASA) is an ongoing prospective cohort study of older adults in the Netherlands, with data on multiple domains of functioning available over a period of more than 30 years of follow-up. The study started in 1992 with a nationally representative sample of older adults aged 55-84 years. Over the years, three refresher cohorts (two cohorts aged 55-64 years in 2002 and in 2012, and one cohort aged 60-86 years in 2024) were added. The main aim of LASA was to describe determinants, trajectories and consequences of (changes in) physical, cognitive, emotional and social functioning. LASA has multiple strengths, including its multidisciplinary character, the very long period of follow-up, and the cohort-sequential design which enables the study of longitudinal changes as well as historical time trends in functioning. So far, findings based on data from LASA have been reported in more than 800 scientific publications (see www.lasa-vu.nl ). In this article, we provide an update of the design and methods of LASA, including a description of several ancillary studies such as the Loneliness study and the COVID-19 study.
阿姆斯特丹纵向衰老研究(LASA)是一项针对荷兰老年人的正在进行的前瞻性队列研究,在超过30年的随访期内可获得多个功能领域的数据。该研究始于1992年,样本为全国范围内具有代表性的55至84岁老年人。多年来,又增加了三个补充队列(2002年和2012年的两个55至64岁队列,以及2024年的一个60至86岁队列)。LASA的主要目的是描述身体、认知、情感和社会功能(变化)的决定因素、轨迹和后果。LASA有多个优点,包括其多学科性质、很长的随访期以及队列序贯设计,这使得能够研究功能的纵向变化以及历史时间趋势。到目前为止,基于LASA数据的研究结果已发表在800多篇科学出版物中(见www.lasa-vu.nl)。在本文中,我们提供了LASA设计和方法的最新情况,包括对一些辅助研究的描述,如孤独研究和COVID-19研究。