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NIA, one of the 27 Institutes and Centers of NIH, leads a broad scientific effort to understand the nature of aging and to extend the healthy, active years of life. NIA is the primary Federal agency supporting and conducting Alzheimer’s disease and related dementias research

2-day webinar/workshop (Oct 16-17):  Leveraging Adaptive Technology (“Just-in-Time”) Interventions for Aging and Alzheimer’s Disease and Alzheimer’s Disease-related Dementias (AD/ADRD) (based on intensive longitudinal measurement approaches) Register & More Info

The Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS) is an international research collaboration platform that aims to bring together existing and future observational studies of thigh-worn accelerometers. Those methods are increasingly used in large scale epidemiological studies. Thigh-worn placement is unique among accelerometry methods for its capacity to record information on physical activity volumes as well as posture allocation data simultaneously.

The objectives of the consortium are:

• to establish a pooled data resource on physical activity, posture allocation, sleep, and health outcomes;
• to develop methods for processing, harmonising, and pooling data of existing such studies;
• to develop methods for collecting data for future studies (prospective harmonization)

The ultimate scientific objective of ProPASS is to produce evidence on the effects of PA, sitting, and sleep on long-term health outcomes and longevity. As of February 2019, ProPASS is supported by twelve international cohorts totalling over 70,000 participants. The ProPASS cohorts are also rich in health outcome data, many contain genotypic information, and most can be linked to administrative health and mortality records, opening a endless possibilities for generation of new knowledge.

ProPASS is looking forward to hearing from researchers from any discipline who have collected or consider collecting thigh-worn accelerometry data in observational studies, and scientists with an interest in health-related data consortia.