SBIR/STTR Research Award

Picture Me Fit: Engaging Youth in Community-Based Prevention

Award identifier d8e358fb938a9211bbeec361fedbdd92a3844fa4cb67a3921e4a06f2e2390af9Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$240,018

Program and phase

STTR · Phase I

Award year

2014

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
PREVENTION STRATEGIES, LLC
Proposal award date
2014-09-26
Contract end date
2016-08-31
UEI
NLRPH2MGNFB6
Solicitation number
PA12-089
Topic code
600

Research abstract

DESCRIPTION provided by applicant Approximately one third of all U S adults and children are obese and at risk for a wide range of related chronic health conditions such as cardiovascular disease hypertension diabetes stroke osteoarthritis sleep apnea and certain types of cancer The Center for Disease Control and Prevention CDC and other expert resources recognize that although individual level factors such as good nutrition and physical activity are core determinants of obesity a comprehensive approach that includes environmental and policy level changes is necessary to promote healthy behaviors and prevent obesity Communities are being called upon to implement environmental strategies evidenced to promote good nutrition and physical activity Guidelines for recommended environmental strategies and measurements have been created to help communities plan and monitor environmental and policy changes that promote good nutrition and physical activity Although the expert recommendations are helpful in guiding communities on what to do i e specific environmental and policy level strategies to implement several challenges exist regarding how to go about the work of engaging a community in obesity prevention The proposed project will use a qualitative ethnographic method of using documentary photography photo exhibits and advocacy to empower groups of youth and adults to do the work of obesity prevention in their communities The overall goal of this Phase I STTR project is to test the feasibility of developing Picture Me Fit PMFit a multi component online resource designed to train community members including youth to a represent environmental factors contributing to obesity in their communities by using a process known as photovoice and b use photo projects to assess the physical environment of a community raise community awareness mobilize stakeholders and inform environmental and policy changes PUBLIC HEALTH RELEVANCE This project has the potential to increase the capacity of communities to employ comprehensive strategies to reduce and prevent overweight and obesity and ultimately improve the health and well being of children and adults A contribution to the science of prevention will be made by developing and testing an approach to community based prevention that can be applied to other social and health issues

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

13 SBIR/STTR records share this UEI (2007–2024). Reported award amounts total $8,992,424. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.