I would gather health stats over the course of five years from people that are within current "healthy" BMI ranges and people that are above and below the guidelines. Monitoring various aspects of their health over a period of five (to ten) years would allow researchers to see if current BMI ranges should be changed.

Gays, lesbians, and bisexuals are underrepresented in biomedical research. While much relevant data is already planned for collection by AllofUs, additional or elaborated measures (see "data items") would help in seeking new leads and advancing work on pre-existing questions in the field. These items include sociodemographic (e.g., trait information), clinical (various associated conditions), and biological (genomic,... more »

create a random control and intervention group. Intervention is healthful eating ( MyPlate), and activity (30 minutes of activity a day). Periodically measure biometrics and note if they are improved in those who are weight stable as well as those who lose weight. Theory- it is healthful behaviors that cause improvement in bio-metric measures of BP, BlGlu and cholesterol, not weight loss per se.

This would focus on incidence of health problems in the entire cohort to ask if loss of mobility or neurological impairment are separate risk factors. Demographic and pre-enrollment ICD codes will be obtained with the All of Us Core dataset. Volunteers will be followed for 5 years with annual PPI, physical exams, and blood draws. ICD codes will be obtained at any clinical encounters. Principle component analysis will... more »

Critics of the BMI and other current methods note that these methods do not take into account a persons body type, muscle mass, sexual features (breasts), and upper limb length. I would use actual physical measurements of our population as well as surveys for sexual features to determine a realistic model of the individual ideal weight and categories of body types here in the US. These models could be advanced with health... more »

Goal: To determine whether transit mode choice and travel time is associated with bmi and health status
Identify 3 neighborhoods with similar avg incomes, but different transport options
Select a random sample of households from each neighborhood.
One adult provides info on transit choice, travel time, destination distance, bmi and health status.
Expected outcome: Among similar income levels, adults who drive less have... more »