A transformative goal would be to use precision medicine to individualize and make far more effective dose-response interventions and prescriptions for physical activity and other health behaviors. Methods could include data collection through wearable technology, validated self-reports, other existing health data, and the unique insights from All of Us, especially related to sources and effects of lifestyle influence.... more »

An improved understanding of the wide-ranging interplay of community design, programs, policies, worksite health, physician counseling, and other factors in influencing health behaviors and lifestyle choices is crucial to improving health outcomes. Methods could include data collection through wearable technology, validated self-reports, medical reimbursement, predictive analytics, and the unique insights from All of... more »

Determine the lifestyle strategies and interventions that produce the most gains in prevention and treatment of diseases in a comparative and complementary context with pharmaceutical, surgical, and other approaches. Methods could include data collection through wearable technology, validated self-reports, comparative effectiveness data, medical reimbursement, predictive analytics, and the unique insights from All of... more »

Intentionally aim to ensure that All of Us insights extend to everyone, particularly regarding lifestyles and improved health for population segments of need and opportunity. Methods could include data collection through wearable technology, validated self-reports, comparative effectiveness data, medical reimbursement, predictive analytics, and the unique insights from All of Us. ACSM applauds this pathway to health innovation.... more »

There is a need to understand the inter-relationships among sleep, diet, physical activity and stress on one another and health outcomes.

Sports play a unique role as a platform for physical activity, but can also increase the risk of injury. All of Us offers an opportunity to identify health benefits and risks of sports by population segment, sport, and level of play. A resulting "sports prescription for health" could be a powerful leap forward in improving health. Methods could include data on sports injuries, wearable technology, validated self-reports,... more »

Lower urinary tract symptoms (LUTS, eg incontinence, overactive bladder, slow urinary stream) negatively affect quality of life of many individuals as they age, yet some people never experience LUTS. Different types of physical activity (eg walking versus heavy lifting) may protect against or increase the risk of LUTS. We propose to identify people >65 years old, with and without LUTS, and identify how physical activities... more »

Fatigue is commonly reported as prodromal to acute and chronic illness. At this point, we do not understand the etiology of fatigue; it is often confused with sleepiness. Longitudinal assessments of self-reported symptoms (fatigue, sleep, pain, depression), comorbid conditions, physical activity, and biomarkers will be collected monthly over 1 year to allow us to assess potential temporal effects of fatigue on daytime... more »

Sleep (quantity, quality, timing), sedentary behavior, and physical activity of various intensities, affect each other and many health outcomes. Health conditions affect individuals’ sleep and activity patterns. Capturing 24-hour device data repeatedly will allow exploration of multiple hypotheses about sleep, sedentary behavior, physical activity and health. Longitudinal data will allow exploration of causality in both... more »

Most research is devoted understanding factors which increase disease risk. Here we specifically seek to find individuals who are healthy despite exposure to high levels of environmental pollutants, e.g. living in areas with elevated air pollution, and examine the lifestyle factors which may be protective. Protective lifestyle factors may be modifiable by the individual and may represent a means to improve environmental... more »

Although the presence of a relationship between physical activity and diabetic foot ulcers is widely accepted, there is limited understanding of this relationship. Most studies to date have included sample sizes less than 100 participants and monitored physical activity for less than 6 months (often for only a period of several weeks). This prospective longitudinal study will evaluate the association of physical activity... more »

Health benefits of mind-body exercises are 'under-researched' compared to health benefits of aerobic exercises. Many people do not meet the current physical activity recommendations for maintaining health, in particular older adults and individuals with chronic health issues. Thus, it is of high importance to facilitate the potential health effects of mind-body exercises. Funding for well-designed randomized controlled... more »

We propose to investigate risk of developing cancer in a cohort of 100,000 AoU participants using NCIs Activities Completed over Time in 24-hours (ACT24) recall system (doi.org/10.1249/MSS.0000000000001428), and research grade accelerometers. Cases of incident cancer will be captured via linkage to state cancer registries.

Biological, psychological & social domains interact at multiple levels (genes, human & environment microbiomes, stress, behavior, broad SES & environment) outlined by the biopsychosocial ecological model (BPSEM). The BPSEM specifies pathways aligned with the AoU pillars of biology, lifestyle, & environment. Simultaneous examination of the interacting domains and levels of the BPSEM is now computationally possible and... more »

The goal would be to examine how body fat, pre-pregnancy, and activity levels before and during pregnancy were related to pregnancy outcomes (e.g., miscarriage, full-term, low birthweight, etc.) in athletes with a normal or high BMI and normal ovulatory function; prior studies focus solely on BMI, which is often an inaccurate measure for athletes. All of Us should collect data on body fat preconception, physical activity... more »