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NIH funding notice RFA-MH-16-600

Improving Health and Reducing Cardiometabolic Risk in Youth with Serious Emotional Disturbance and Young Adults with Severe Mental Illness (R01)

Closed on November 6, 2015.

Posted
August 12, 2015
Close date
November 6, 2015
Activity codes
Not stated on the notice page
Institutes taking part
Not stated on the notice page

Read the notice on Grants.gov · NIH Guide page

The notices it replaced

Its page was not saved, so the notices it replaced are not known.

Who won it before

3 competing awards (new and renewals) from FY2014 to FY2025 under this notice and the notices it replaced: $1,875,541 in first-year total cost, median $612,811.

Most frequent study sections

  1. Special Emphasis Panel[ZMH1 ERB-I (05)]3

Most frequent institutions

  1. DARTMOUTH COLLEGE1
  2. JOHNS HOPKINS UNIVERSITY1
  3. UNIVERSITY OF MARYLAND BALTIMORE1
Competing awards under RFA-MH-16-600 and the notices it replaced
FYProjectPIsInstitutionFirst-year costStudy section
2016Randomized Trial of a Healthy Weight Intervention for Youth with Serious Emotional Disturbance1R01MH110968-01DAUMIT, GAIL L.JOHNS HOPKINS UNIVERSITY, MD$784,268ZMH1
2016A Community-based ,family Navigator intervention to improve cardiometabolic health of Medicaid-insured youth identified through an antipsychotic medication preauthorization program1R01MH110945-01REEVES, GLORIA MUNIVERSITY OF MARYLAND BALTIMORE, MD$612,811ZMH1
2016Peer Support and Mobile Technology Targeting Cardiometabolic Risk Reduction in Young Adults with SMI1R01MH110965-01ASCHBRENNER, KELLY ADARTMOUTH COLLEGE, NH$478,462ZMH1

Data: Grants.gov's daily extract and NIH's notice pages and award files, in ScienceGraph release conductgrants-2026-11-10-0.1.1. An award is listed only where NIH's own record names the notice, and a PI only by NIH's profile ID. Grants.gov and NIH do not endorse ScienceDex.

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RFA-MH-16-600: Improving Health and Reducing Cardiometabolic Risk in Youth with Serious Emotional Disturbance and Young Adults with Severe Mental Illness (R01) | ScienceDex | ConductScience