Scholarlink

<p>Swiss cohort studies provide high-quality longitudinal data, but finding and comparing relevant studies across cohorts has historically been challenging. The Swiss Personalized Health Network Cohort Consortium (SPHN-CC) was established to address these limitations by creating the first coordinated network of Swiss cohort studies within the internationally recognized Maelstrom Research catalogue. Participating cohorts were invited in 2021–2022, including longitudinal and cross-sectional studies with 1010–21,993 participants. Data collected include questionnaires, physical and cognitive assessments, administrative records, and biological samples. Variables were classified into 18 domains and 134 subdomains, and an online metadata catalogue was implemented to document study designs, explore variable content, and assess harmonization potential. The catalogue enables researchers to identify study-specific and harmonized variables for co-analysis. Core variables, such as age, sex/gender, anthropometrics, and medication use, are widely available, while other variables vary across cohorts. Harmonization assessments demonstrate that several key variables can be co-analyzed across multiple studies, supporting collaborative research with over 37,000 participants. A use case illustrates the potential for harmonizing and co-analyzing data across studies. The SPHN-CC strengthens Swiss cohort research by enhancing data discoverability, supporting harmonization, and facilitating cross-cohort and international research, providing a model for more efficient use of high-value longitudinal data.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Cohort profile: Swiss personalized health network cohort consortium

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月26日

查看全文
  • Murielle Bochud,
  • Samuel El Bouzaïdi Tiali,
  • Jan Armida,
  • Rita Wissa,
  • Sabine Österle,
  • Juan Manuel Blanco,
  • Jean Pierre Ghobril,
  • Yves Henchoz,
  • Valérie Pittet,
  • Pascal Benkert,
  • Jens Kuhle,
  • Enrique Castelao,
  • Martin Preisig,
  • Carlo Chizzolini,
  • Huldrych F. Günthard,
  • Katharina Kusejko,
  • Medea Imboden,
  • Nicole Probst-Hensch,
  • Michael Koller,
  • Pedro Marques-Vidal,
  • Peter Vollenweider,
  • Menno Pruijm,
  • Andri Rauch,
  • Camillo Ribi,
  • Almut Scherer,
  • Christoph Tellenbach,
  • Belen Ponte,
  • Julien Vaucher,
  • Isabel Fortier

摘要

Swiss cohort studies provide high-quality longitudinal data, but finding and comparing relevant studies across cohorts has historically been challenging. The Swiss Personalized Health Network Cohort Consortium (SPHN-CC) was established to address these limitations by creating the first coordinated network of Swiss cohort studies within the internationally recognized Maelstrom Research catalogue. Participating cohorts were invited in 2021–2022, including longitudinal and cross-sectional studies with 1010–21,993 participants. Data collected include questionnaires, physical and cognitive assessments, administrative records, and biological samples. Variables were classified into 18 domains and 134 subdomains, and an online metadata catalogue was implemented to document study designs, explore variable content, and assess harmonization potential. The catalogue enables researchers to identify study-specific and harmonized variables for co-analysis. Core variables, such as age, sex/gender, anthropometrics, and medication use, are widely available, while other variables vary across cohorts. Harmonization assessments demonstrate that several key variables can be co-analyzed across multiple studies, supporting collaborative research with over 37,000 participants. A use case illustrates the potential for harmonizing and co-analyzing data across studies. The SPHN-CC strengthens Swiss cohort research by enhancing data discoverability, supporting harmonization, and facilitating cross-cohort and international research, providing a model for more efficient use of high-value longitudinal data.