Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| East Carolina University | OTHER |
Not provided
Not provided
Not provided
Not provided
Increasing fruit and vegetable (FV) intake, and reducing saturated fat, salt, and added sugar are central lifestyle recommendations in the Dietary Guidelines for Americans to prevent chronic disease. Yet, while diet is modifiable, numerous barriers exist for lower-resourced families to engage in healthy dietary behaviors. In particular, rural families face structural and systemic disparities, such as inadequate access to affordable healthy food. Thus, this project. Thus, this study, PhytoRx Families, an innovative produce prescription (Prx) program, addresses health disparities in rural North Carolina (NC). This project will pilot test and explore the impact of PhytoRx Families (PhtyoRxF) on nutrition-related, health-related, and healthcare utilization outcomes.
Increasing fruit and vegetable (FV) intake, and reducing saturated fat, salt, and added sugar are central lifestyle recommendations in the Dietary Guidelines for Americans to prevent chronic disease. Yet, while diet is modifiable, numerous barriers exist for lower-resourced families to engage in healthy dietary behaviors. In particular, rural families face structural and systemic inequities, such as inadequate access to affordable healthy food. Thus, this project, PhytoRx Families, an innovative produce prescription (Prx) program, will address health disparities in rural North Carolina (NC). This project will pilot test and explore the impact of PhytoRx Families (PhtyoRxF) on nutrition-related outcomes. This study will define impact on FV intake using the ASA24 dietary recall (primary outcome) among n=30 adults and school-aged children (adult-child dyads; children 8-14 year olds, 2nd-9th grade). The study will also explore the impact of PhytoRxF on cardiovascular health-related outcomes (blood pressure, glycated hemoglobin (HbA1C), height, weight (BMI calculated)). Finally the study will examine the change in healthcare utilization among PhytoRxF participants.
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Pilot test participants | Experimental | Participants will be referred by healthcare providers during office visits at local clinics. Providers will refer school-aged children (8-14 year olds) or adults, who are also a caregiver for a school-aged child, who screen positive for food insecurity and will submit patient referrals to the Project Coordinator utilizing a HIPAA-compliant KiteWorks platform. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| PhytoRx Families: A Pilot Test to Address Food Security in Rural North Carolina | Other | This project will pilot test and explore the impact of PhytoRx Families (PhtyoRxF) on nutrition-related, health-related, and healthcare utilization outcomes among n=30 adults and school-aged children (adult-child dyads; children 8-14 year olds, 2nd-9th grade). |
| Measure | Description | Time Frame |
|---|---|---|
| Fruit and vegetable intake | Measured by ASA24 dietary recall | Baseline and end of study at 16 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Skin carotenoids | Objective measure of fruit and vegetable intake measured by skin carotenoids, derived from a validated reflection spectroscopy device, Veggie Meter® | Baseline and end of study at 16 weeks |
| Diet quality |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Basheerah Enahora, PhD | Contact | 9195159125 | benahor@ncsu.edu |
| Name | Affiliation | Role |
|---|---|---|
| Basheerah Enahora, PhD | North Carolina State University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| North Carolina State University | Recruiting | Raleigh | North Carolina | 27695 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 37571400 | Background | Norris K, Jilcott Pitts S, Reis H, Haynes-Maslow L. A Systematic Literature Review of Nutrition Interventions Implemented to Address Food Insecurity as a Social Determinant of Health. Nutrients. 2023 Aug 5;15(15):3464. doi: 10.3390/nu15153464. | |
| 33521534 | Background | Kerr D, Barua S, Glantz N, Conneely C, Kujan M, Bevier W, Larez A, Sabharwal A. Farming for life: impact of medical prescriptions for fresh vegetables on cardiometabolic health for adults with or at risk of type 2 diabetes in a predominantly Mexican-American population. BMJ Nutr Prev Health. 2020 Oct 5;3(2):239-246. doi: 10.1136/bmjnph-2020-000133. eCollection 2020 Dec. |
Not provided
Not provided
Data will be reported in aggregate for publication in academic journals (means and standard deviations). No identifying information will be reported in any publications arising from this research. No direct personal identifiers will be used in any published research.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
|
|
Measured by ASA24 dietary recall
| Baseline and end of study at 16 weeks |
| Food security status | USDA 6-Item Food Security Survey. Score range is 0 to 6. Responses of "often" or "sometimes" on questions HH3 and HH4, and "yes" on AD1, AD2, and AD3 are coded as affirmative (yes). Responses of "almost every month" and "some months but not every month" on AD1a are coded as affirmative (yes). The sum of affirmative responses to the six questions in the module is the household's raw score on the scale. Food security status is assigned as follows: Raw score 0-1-High or marginal food security; Raw score 2-4-Low food security; Raw score 5-6-Very low food security | Baseline and end of study at 16 weeks |
| Nutrition security status | 4-Item Household Nutrition Security Screener (Gretchen Swanson/Center for Nutrition & Health Impact), Score range is 0 (if the participant selects "Always") to 4 (if the participant selects "Never"), with higher scores indicating a greater degree of Household Nutrition Security | Baseline and end of study at 16 weeks |
| Blood pressure | Measured by automated monitor; Omron HEM-907XL, Vernon Hills | Baseline and end of study at 16 weeks |
| Hemoglobin A1C | Measured by point-of-care (PoC) testing via A1C+ Now Analyzer, PTS Diagnostics | Baseline and end of study at 16 weeks |
| Body Mass Index | Weight in kilograms and height in meters (collected at baseline only) will be assessed by electronic scale with stadiometer, SECA 874dr scale. BMI will be calculated by dividing weight (kg) by height (m) squared | Baseline and end of study at 16 weeks |
| Self-efficacy for Healthy Eating | Self-efficacy for Eating Behaviors Scale. Score range from 1 (participant responds strongly disagree) to 5 (participant responds strongly agree), with higher scores indicating higher self efficacy for choosing healthy foods | Baseline and end of study at 16 weeks |
| Food-related Parenting Practices | Comprehensive Home Environment Survey (CHES). Measurement of social and physical home environment to assess food-related parenting practices. Scale from 1 (participant responds "Never") to 5 (participant responds "Always"), with higher scores indicating positive food-related parenting practices (ie eating meals together as a family, modeling healthy behaviors, cooking at home, involving children in the meal planning/cooking process). | Baseline and end of study at 16 weeks |
| Barriers and Facilitators to Fruit and Vegetable Consumption | Adapted instruments from the Family Life, Activity, Sun, Health, and Eating (FLASHE) Parent Module and the Singleton et al 2018 study to assess barriers and facilitators to fruit and vegetable consumption. Score range from 1 (participant responds "Strongly Disagree") to 5 (participant responds "Strongly Agree"), with higher scores representing more barriers to eating fruits and vegetables. | Baseline to end of study at 16 weeks |
| Body Mass Index-For-Age Percentile | Weight in kilograms and height in meters (collected at baseline only) will be assessed by electronic scale with stadiometer, SECA 874dr scale. BMI will be calculated by dividing weight (kg) by height (m) squared, then plotted on a growth chart. | Baseline and end of study at 16 weeks |
| 34301335 | Background | Heasley C, Clayton B, Muileboom J, Schwanke A, Rathnayake S, Richter A, Little M. "I was eating more fruits and veggies than I have in years": a mixed methods evaluation of a fresh food prescription intervention. Arch Public Health. 2021 Jul 23;79:135. doi: 10.1186/s13690-021-00657-6. eCollection 2021. |
| 35631144 | Background | Fischer L, Bodrick N, Mackey ER, McClenny A, Dazelle W, McCarron K, Mork T, Farmer N, Haemer M, Essel K. Feasibility of a Home-Delivery Produce Prescription Program to Address Food Insecurity and Diet Quality in Adults and Children. Nutrients. 2022 May 10;14(10):2006. doi: 10.3390/nu14102006. |
| 31105493 | Background | Harkin N, Johnston E, Mathews T, Guo Y, Schwartzbard A, Berger J, Gianos E. Physicians' Dietary Knowledge, Attitudes, and Counseling Practices: The Experience of a Single Health Care Center at Changing the Landscape for Dietary Education. Am J Lifestyle Med. 2018 Nov 23;13(3):292-300. doi: 10.1177/1559827618809934. eCollection 2019 May-Jun. |
| 31496507 | Background | Rahman V. Time to Revamp Nutrition Education for Physicians. Perm J. 2019;23:19-052. doi: 10.7812/TPP/19.052. Epub 2019 Aug 19. |
| 30792944 | Background | Wolfson JA, Ramsing R, Richardson CR, Palmer A. Barriers to healthy food access: Associations with household income and cooking behavior. Prev Med Rep. 2019 Jan 31;13:298-305. doi: 10.1016/j.pmedr.2019.01.023. eCollection 2019 Mar. |
| 28958671 | Background | Reicks M, Kocher M, Reeder J. Impact of Cooking and Home Food Preparation Interventions Among Adults: A Systematic Review (2011-2016). J Nutr Educ Behav. 2018 Feb;50(2):148-172.e1. doi: 10.1016/j.jneb.2017.08.004. Epub 2017 Sep 25. |
| 35287656 | Background | Levi R, Schwartz M, Campbell E, Martin K, Seligman H. Nutrition standards for the charitable food system: challenges and opportunities. BMC Public Health. 2022 Mar 14;22(1):495. doi: 10.1186/s12889-022-12906-6. |
| 22490063 | Background | Lutfiyya MN, Chang LF, Lipsky MS. A cross-sectional study of US rural adults' consumption of fruits and vegetables: do they consume at least five servings daily? BMC Public Health. 2012 Jun 1;12:280. doi: 10.1186/1471-2458-12-280. |
| 23493536 | Background | Laraia BA. Food insecurity and chronic disease. Adv Nutr. 2013 Mar 1;4(2):203-12. doi: 10.3945/an.112.003277. |
| 35318149 | Background | Backonja U, Park S, Kurre A, Yudelman H, Heindel S, Schultz M, Whitman G, Turner AM, Marchak NT, Bekemeier B. Supporting rural public health practice to address local-level social determinants of health across Northwest states: Development of an interactive visualization dashboard. J Biomed Inform. 2022 May;129:104051. doi: 10.1016/j.jbi.2022.104051. Epub 2022 Mar 19. |
| 36558409 | Background | Byker Shanks C, Andress L, Hardison-Moody A, Jilcott Pitts S, Patton-Lopez M, Prewitt TE, Dupuis V, Wong K, Kirk-Epstein M, Engelhard E, Hake M, Osborne I, Hoff C, Haynes-Maslow L. Food Insecurity in the Rural United States: An Examination of Struggles and Coping Mechanisms to Feed a Family among Households with a Low-Income. Nutrients. 2022 Dec 9;14(24):5250. doi: 10.3390/nu14245250. |
| 36321395 | Background | Schipper HS, de Ferranti S. Cardiovascular Risk Assessment and Management for Pediatricians. Pediatrics. 2022 Dec 1;150(6):e2022057957. doi: 10.1542/peds.2022-057957. |
| 32078375 | Background | Harrington RA, Califf RM, Balamurugan A, Brown N, Benjamin RM, Braund WE, Hipp J, Konig M, Sanchez E, Joynt Maddox KE. Call to Action: Rural Health: A Presidential Advisory From the American Heart Association and American Stroke Association. Circulation. 2020 Mar 10;141(10):e615-e644. doi: 10.1161/CIR.0000000000000753. Epub 2020 Feb 10. |
| 36622491 | Background | Abrahamowicz AA, Ebinger J, Whelton SP, Commodore-Mensah Y, Yang E. Racial and Ethnic Disparities in Hypertension: Barriers and Opportunities to Improve Blood Pressure Control. Curr Cardiol Rep. 2023 Jan;25(1):17-27. doi: 10.1007/s11886-022-01826-x. Epub 2023 Jan 9. |
| 33768240 | Background | Ducharme-Smith K, Caulfield LE, Brady TM, Rosenstock S, Mueller NT, Garcia-Larsen V. Higher Diet Quality in African-American Adolescents Is Associated with Lower Odds of Metabolic Syndrome: Evidence from the NHANES. J Nutr. 2021 Jun 1;151(6):1609-1617. doi: 10.1093/jn/nxab027. |
| 34858039 | Background | Esquivel Zuniga R, DeBoer MD. Prediabetes in Adolescents: Prevalence, Management and Diabetes Prevention Strategies. Diabetes Metab Syndr Obes. 2021 Nov 25;14:4609-4619. doi: 10.2147/DMSO.S284401. eCollection 2021. |
| 16182882 | Background | Alberti KG, Zimmet P, Shaw J; IDF Epidemiology Task Force Consensus Group. The metabolic syndrome--a new worldwide definition. Lancet. 2005 Sep 24-30;366(9491):1059-62. doi: 10.1016/S0140-6736(05)67402-8. No abstract available. |
| 32114851 | Background | Yang L, Magnussen CG, Yang L, Bovet P, Xi B. Elevated Blood Pressure in Childhood or Adolescence and Cardiovascular Outcomes in Adulthood: A Systematic Review. Hypertension. 2020 Apr;75(4):948-955. doi: 10.1161/HYPERTENSIONAHA.119.14168. Epub 2020 Mar 2. |
| 36407424 | Background | Falkner B. The enigma of primary hypertension in childhood. Front Cardiovasc Med. 2022 Nov 4;9:1033628. doi: 10.3389/fcvm.2022.1033628. eCollection 2022. |
| ID | Term |
|---|---|
| D015438 | Health Behavior |
| D010342 | Patient Acceptance of Health Care |
| ID | Term |
|---|---|
| D001519 | Behavior |
| D000074822 | Treatment Adherence and Compliance |
Not provided
Not provided