Screen school-age children for ADHD by testing, if feasible, or by electronic health record search. Perform WGS on children as the preferred strategy to identify new genetic associations and confirm previously reported genetic associations. If WGS is not possible, develop a marker panel and test children who have ADHD for known or suspected genetic factors. Follow children by periodic medical evaluations and school performance... more »

This study will focus on the entire cohort (infant-19 y/o) to provide health and behavior outcomes associated with sleep characteristics, including environmental and demographic factors. This information will help better define the development of sleep, help develop more precise strategies to target children with sleep characteristics predictive of poor health outcomes, and develop more precise strategies for children... more »

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

A cohort study of pre-teens with high functioning autism, formerly Aspergers, would collect data about pharmacological and behavioral therapies tried and obtain dose and duration of treatments. Survey data from parents would measure functioning and stress tolerance at age 10, 13 and 18.

Wearables that can capture sleep and circadian information-across the day/night and over time--should be included. Activity monitors, EEG, ECG and Oximetry measurement are increasingly accessible with miniaturization of technology. Consumer interest in many of these devices has accelerated development and driven costs down. Analysis of these data-perhaps using open-platforms- hold promise for deriving quantitative measurements... more »

Intensive data collection and analysis including genetic and epigenetic data over time, family history, physical environment (pollution, housing age, etc), social environment (income, household, employment/history, neighborhood, education resources, etc), nutrition, parenting (preparedness, skills, family composition, generational support, etc), early childhood stress, other exposures, demographics; to determine impact... more »

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 »

The CDC calls insufficient sleep a "public health problem." But sleep & circadian rhythms are oft-ignored—even derided--aspects of health.

When you ask subjects about lifestyle, don't stop @ diet/exercise. Ask about sleep. When you ask about sleep, don't stop @ length/quality. Ask about circadian timing: when ppl sleep. Is timing dictated by their body clock *or* work/family demands?

AOU is an unprecedented opp to... more »

Much of what we know about ACEs is retrospective yet we believe that there are developmental touch points and/or aspects of resilience that help or hinder the biologic stress that may or may not ensue after an adverse experience. Monitoring parent and child adversity and stress over time will clarify a much needed field where we know that ACEs cause acceleration of physical, mental and behavioral health problems in... more »

Study would seek to characterize the etiological bases, including genetic, socio-cultural and environmental, for the circadian timing, duration and quality of sleep and vulnerability to develop sleep disorders.

It is important that the All of Us database includes a range of nutrition-related measures which are used to help identify malnutrition risk. Additional measures of malnutrition-related characteristics are important for malnutrition diagnosis. Validated screening tools such as the Malnutrition Screening Tool (MST) could be used regularly to collect this data, as well as linked surveys to capture demographic information... more »

>60% of U.S. adults are classified as overweight/obese. Treatments to promote long-term weight loss (e.g. behavioral, pharmacological, surgical) are often not successful and result in high variability across individuals. Measurement of potential predictors from multiple domains (behavioral, biological, environmental, and psychosocial) can help identify the factors that best predict success in response to intentional weight... more »

Numerous controlled studies suggest gait speed is a marker of overall physical function, and is predictive of a range of adverse events - including death. The All of Us data set provides a unique opportunity to explore relationships between gait speed, lifestyle factors, and health outcomes over time in a diverse, representative group of individuals. Insights gained could allow for more timely intervention by both patients... more »

There is a need to include survey questions sensitive to sleep and circadian phenotypes, which may be easily administered via smart phone applications.

Biomarkers of sleep sufficiency need to be developed for use in safety for duty and also for use as longer term health indices.