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Nutrition Intervention Optimization to Better Utilize Resources and Support Health

Optimizing Interventions to Improve Nutrition Security and Reduce Diabetes Risk Among Food Pantry Clients

Status
Not yet recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07713836
Acronym
NOURISH
Enrollment
400
Registered
2026-07-20
Start date
2027-01-01
Completion date
2031-02-01
Last updated
2026-07-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diabete Type 2, Food Insecurity, Nutritional Intervention, Obesity & Overweight

Keywords

Food is Medicine, Medically tailored meals, Medically tailored groceries, Type 2 Diabetes, Culinary medicine

Brief summary

Not having enough food for each person in a household, also called food insecurity, makes it hard to eat a nutritious diet, maintain a healthy weight, and manage diabetes risk. Food banks and pantries provide direct food assistance that can mitigate food insecurity among people with lower income, however, people that utilize these organizations face time, resource, and physical constraints that limit their ability to consistently select and cook healthier meals and the organizations face budget constraints that limit their bandwidth for implementing nutrition programs. This research will test four innovative nutrition programs (nutritious prepared meals, medically tailored groceries in the form of meal kits, culinary medicine, motivational text messages) to identify which are the most effective for supporting healthy eating and food security and the most cost effective for organizations to implement, as an effort to reduce diabetes risk, improve diabetes self-management, and diminish health disparities.

Interventions

BEHAVIORALMeal kits

Meal kits combine ingredients (e.g., chicken, tomatillo salsa verde, peppers, sweet potatoes) in a bag with a recipe that instructs how to make a healthier meal (e.g., Chicken Tomatillo Salsa Verde with Peppers and Sweet Potatoes).

BEHAVIORALNo-prep meals

The meals were created to meet nutrition standards for people with or at-risk for cardiometabolic diseases. Each entree has at least one serving of proteins, whole grains, and two vegetables. Entrees are low in sodium and sugar and meet carbohydrate recommendations for people with diabetes.

BEHAVIORALCulinary nutrition classes

Participants randomly assigned to receive culinary nutrition classes will receive six-weeks of hybrid instruction from the Health Meets Food™ curriculum. Health Meets Food™ improves adherence to a nutritious diet, reduces food costs by encouraging more home food preparation, and reduces blood pressure and cholesterol among people with diabetes.

BEHAVIORALText messages

Participants will receive four culturally tailored SMS and MMS texts per week with motivational messages and nutrition education developed and tested by Dr. Leng as part of the SANOS trial (R01MD012819) and slightly adapted to our community's food preferences identified through extensive preliminary research. Texts will be delivered in the participants preferred language (English/Spanish) and scheduled for their preferred time (e.g., AM/PM).

Sponsors

Tufts University
Lead SponsorOTHER
University of Texas Southwestern Medical Center
CollaboratorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
FACTORIAL
Primary purpose
OTHER
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Aged 18+, * Body mass index (BMI)≥ 25; * Access to a device with SMS and MMS (picture) text and Wi-Fi capabilities (e.g., phone, tablet, computer) and willingness to use the device regularly during the study; * Willingness to complete four in-person data collection appointments; * Willing and able to consent.

Exclusion criteria

* Presence of a condition or dietary restriction precluding eating study meals or weight loss (e.g., condition requiring liquid diet, pregnancy); * Another member of the household participating; * Planning to move within the next 12 months; * Unwilling to participate.

Design outcomes

Primary

MeasureTime frameDescription
DietRecorded at baseline (Appt 1, prior to randomization), midpoint (Appt 2, month 3), immediately following the intervention period (Appt 3, month 6), and three months post-intervention (Appt 4, month 9).24-hour recall based on recommendations from the National Cancer Institute and prior evidence suggesting feasibility and validity of the measure with Spanish speakers. Diet will be assessed using 24-hour recall administered via the Automated Self-Administered 24-hour Dietary Assessment Tool (ASA24) in English and Spanish. Will be used to calculate a Healthy Eating Index (HEI) score. The HEI is a scale from 0 to 100.

Secondary

MeasureTime frameDescription
Household food securityRecorded at baseline (Appt 1, prior to randomization), midpoint (Appt 2, month 3), immediately following the intervention period (Appt 3, month 6), and three months post-intervention (Appt 4, month 9).Measured using the USDA 6-item household food security survey and will be treated as a continuous variable if normally distributed or a categorical variable if data is non-normal. Categorical scoring will be based on USDA recommendations (0-1 affirmative responses = high or marginal food security, 2-4 = low food security, 5-6 = very low food security).
Percent body weight changeRecorded at baseline (Appt 1, prior to randomization), midpoint (Appt 2, month 3), immediately following the intervention period(Appt 3, month 6), and three months post-intervention (Appt 4, month 9).Will be calculated as (Baseline weight minus follow-up weight) / (Baseline weight) x 100. Height and weight will be measured using an externally validated and calibrated Tanita DC-240MA scale.
Hemoglobin A1C (HbA1c)Recorded at baseline (Appt 1, prior to randomization), midpoint (Appt 2, month 3), immediately following the intervention period(Appt 3, month 6), and three months post-intervention (Appt 4, month 9).Will be measured using the externally validated point-of-care instrument, DCA VantageAnalyzer (1μl finger stick, nonfasting). This method has been implemented in food pantries and is less invasive and more cost effective than a venous blood draw.

Countries

United States

Contacts

CONTACTNICHE Lab Team
niche@tufts.edu‪(469) 240-9112‬
PRINCIPAL_INVESTIGATORKelseanna Hollis-Hansen, PhD, MPH

Tufts University

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 21, 2026