CClinicalTrials.gg
CompletedNCT06080425PIHRK'DUpdated Aug 5, 2026

Promoting Intergenerational Health in Rural Kentuckians With Diabetes (PIHRK'D)

An interventional study of Medical Nutrition Therapy in Diabetes Mellitus, Type 2, sponsored by The University of Texas Medical Branch, Galveston. Completed at 1 site in United States. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-08-05.

Sponsored by The University of Texas Medical Branch, Galveston · Not applicable, Interventional, and Supportive care

Phase
Not applicable
Study type
Interventional
Enrollment
48
Allocation
Not applicable
Ages
18 Years and older
Sex
All
01

Study summary

The goal of this feasibility study is to use family units as support to promote nutrition and physical activity of individuals with type 2 diabetes. The main question it aims to answer is:

  • How does the family structure impact the health of its members living with type 2 diabetes?

Participants will be asked to;

  • Tell us about their access to food sources and places in the community to engage in physical activity.
  • A nutrition and physical activity plan will be developed for participants and their families to use for 6 months.
Read the detailed description

The proposed project is informed by the National Framework for Health Equity and Well Being, which was recently developed by the Cooperative Extension Service. This framework explicitly acknowledges the multiple levels of influence on health outcomes and the role of Cooperative Extension Service as a mitigator of community-level health inequities. The framework acknowledges factors that contribute to health inequities at various societal levels, including root causes of structural inequity; norms, policies, and practices; and social determinants of health. As individuals flow through multiple sectors of the environment, each is known to have a direct influence individually and collectively. For the proposed grant, the study will focus on how county-level Extension agents (federally funded program) can be used to mitigate health disparities that contribute to intergenerational obesity and T2DM management in rural Kentucky. Community-level factors also impact health outcomes, such as lack of access to healthy, affordable food, as well as availability of health-related resources. Community assets will be gathered using subjective and objective community audits and assessed at the participant level using social network analysis. Societal-level factors include social norms and cultural health beliefs that impact health decision-making within the community, particularly families/households.

Participants will be recruited on a staggered basis from 2 rural counties in Kentucky. Recruitment will be conducted via Extension Offices, word-of-mouth, social media, UK Healthcare outpatient clinics (e.g., internal medicine, family medicine, endocrinology), as well as UK's Barnstable Brown Diabetes and Obesity Center. Once enrolled, participants will be screened by the RD to confirm obesity/overweight, T2DM diagnosis, and identify each participant's placement within the Transtheoretical Model (Six Stages of Change): pre-contemplation, contemplation, preparation, action, maintenance, or relapse. The enrollment stage of change will be used to develop appropriate goals for each participant. Beyond the primary enrolled participant in the study, members of the household will be invited to attend meetings with the RD and Dining with Diabetes program sessions.

Aim 1: Use social network analysis to describe (a) community assets (e.g., access to healthy eating and ways to participate in physical activity) and (b) intergenerational links to obesity and diabetes (e.g., parent, sibling, child).

Social network analysis will be used to map food sources and food assistance (e.g., supermarket, convenience store, fast food, food pantries), including the types of food offered and frequency of engagement with food sources. Similar methods will be used to identify areas/places within the community that could be used to engage in physical activities (e.g., gym, community center, green space, walking trails). A network map will be developed per household to be used to develop a tailored program that that is feasible and accessible to overweight/obese individuals living with diabetes and members of their household.

Participants will be asked to provide the following information on up to 5 immediate family members: age; sex; education level; relationship (e.g., spouse, child, sibling, parent); whether that individual is overweight/obese; and current T2DM diagnosis status (e.g., no diagnosis, diagnosed by a healthcare provider, told by a healthcare provider to be prediabetic). Additional information will be gathered regarding the interconnectedness (e.g., person 1 and person 3 are siblings) of the known relationships between family members.

Aim 2: Develop a household-specific nutrition and physical activity plan. A 6-month nutrition and physical activity intervention will be implemented with eligible, enrolled Kentucky residents focused on leveraging household/familial social networks. Medical nutrition therapy will be used within a household to tailor healthy eating and physical activity. The 4-week Dining with Diabetes Program will be used to supplement medical nutrition therapy. The participant will be engaged to take someone from their household with them to the Dining with Diabetes sessions to promote and reinforce healthy lifestyle choices.

At the baseline study visit, the research coordinator will provide a study overview and conduct consent. After consent has been obtained, the research coordinator will collect demographics, baseline clinical outcomes, validated surveys, and social network data for the perceived community resources and family characteristics. The research coordinator will conduct an objective community assessment and provide that information as well as the perceived community assets data to the dietitian to be used as part of the medical nutrition therapy. The research coordinator will collect relevant clinical measures, specifically blood pressure, HbA1c, and lipid panel, and validated surveys at baseline and 3 and 6 months post-intervention. The dietitian will schedule and complete the first session medical nutrition therapy within 2 weeks of baseline data collection and will continue to conduct medical nutrition therapy monthly for 6 months. The dietitian will also collect relevant clinical measures, specifically blood pressure, HbA1c, and lipid panel, and validated surveys at 3 and 6 months during the intervention period.

Aim 3: Determine the preliminary effectiveness of tailored nutrition and physical activity for those living within the household.

Data will be collected at five times per participant throughout the intervention. Data collection time points will include baseline and twice during the 6 months intervention period (3 and 6 months) and then again at 3 months and 6 months post-intervention.

To evaluate the feasibility of the proposed intervention, the investigators will use guiding questions that address the following: evaluation of recruitment capability and resulting sample characteristics, evaluation and refinement of data collection procedures and outcome measures, evaluation of acceptability and suitability of intervention and study procedures, evaluation of resources and ability to manage and implement the study and intervention, and preliminary evaluation of participant responses to interventions. Acceptability of community health workers will be assessed using a previously published assessment of community health workers. This assessment measures attributes, such as the participants' perception of cooperative extension agents and a registered dietician to address health concerns, respect and dignity, honesty, interpersonal relationships, and assistance with changing behaviors.

02

Conditions studied

  • Diabetes Mellitus, Type 2
03

In context

Diabetes Mellitus, Type 2

9,359 studies on the registry are indexed under Diabetes Mellitus, Type 2; 1,318 are open to participants now.

This study's enrollment of 48 is below the median of 80 across 7,525 interventional studies indexed under Diabetes Mellitus, Type 2.

Browse Diabetes Mellitus, Type 2 studies →

Lead sponsor

The University of Texas Medical Branch, Galveston is the lead sponsor of 251 studies on the registry; 38 are open to participants now.

Of its 30 completed or terminated interventional studies of FDA-regulated products, 25 (83%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

  • must be diagnosed with type 2 diabetes
  • must be from rural Kentucky
  • must be living in rural Kentucky for at least 1 year

Exclusion criteria

Exclusion Criteria:

  • potential participants without consent
05

Study design

Phase
Not applicable
Primary purpose
Supportive care
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
48 participants (actual)

Study arms

  • Other
    Medical Nutrition Therapy

    Medical Nutrition therapy is an intervention that will be administered to the participants for 6 months.

    Behavioral: Medical Nutrition Therapy

Interventions

  • BehavioralMedical Nutrition Therapy

    Counselling

06

What researchers measure

Primary outcomes

  1. hemoglobin A1c values measured at the five post-baseline follow-up points

    This is a test that measures average blood sugar levels over the past 3 months

    Time frame: baseline, 3 months, 6 months, 9 months and 12 months

  2. body weight measured at the five post-baseline follow-up points

    This is an indices used in the estimation of BMI

    Time frame: baseline, 3 months, 6 months, 9 months and 12 months

Secondary outcomes

  1. Diabetes Knowledge

    Diabetes knowledge of the participants will be assessed using a validated Diabetes Knowledge Questionnaire (DKQ). The DKQ is a 24-item questionnaire, designed by Starr County Diabetes Education Study, to elicit information about patients' understanding of the cause of their disease, its associated complications, blood glucose levels, diet, and physical activity. The DKQ has three response options "yes", "no", and "don't know". One point is awarded for each correct option, whereas, no point or negative scoring for the incorrect option. Its scoring involves summing-up the points obtained by each participant. A higher score represents better disease knowledge.

    Time frame: baseline, 3 months, 6 months, 9 months and 12 months

  2. Diabetes self-management

    Diabetes self-management/self-efficacy will be assessed using the Diabetes Empowerment Scale. Diabetes Empowerment Scale is a 28-item scale that measures diabetes-related psychosocial self-efficacy with an overall Cronbach's uses 3 subscales: Managing the Psychosocial Aspects of Diabetes, Assessing Dissatisfaction and Readiness to Change, and Setting and Achieving Diabetes Goals (Anderson et al, 2000). The questionnaires consist of 28 items with 3 subscales, with each item rated along a 5-point Likert scale (1 = strongly disagree, 2 = disagree, 3 = neutral, 4 = agree, 5 = strongly agree). The range of score is divided in three subgroups as low (28-65 scores), middle (66-103) and high (104-140).

    Time frame: baseline, 3 months, 6 months, 9 months and 12 months

  3. Dietary Intake

    24-hour dietary will be used to estimate the dietary intake of the participants

    Time frame: baseline, 3 months, 6 months, 9 months and 12 months

  4. Diabetes Distress

    The Diabetes Distress Scale (DDS) is a 17-item scale that measures patient concerns about disease management, support, emotional burden and access to care. The response scale for each question ranges from "1" (not a problem) to "6" (a very serious problem). An average score of greater than or equal to 3 indicated moderate distress and discriminated between high and low distressed groups (Fisher et al, 2008)

    Time frame: baseline, 3 months, 6 months, 9 months and 12 months

07

Study locations

1 site
  • University of Texas Medical Branch, Galveston
    Galveston, Texas 77566, United States
08

References and documents

Publications

  • Albuquerque D, Nobrega C, Manco L, Padez C. The contribution of genetics and environment to obesity. Br Med Bull. 2017 Sep 1;123(1):159-173. doi: 10.1093/bmb/ldx022. PubMed 28910990 ↗
  • Ali O. Genetics of type 2 diabetes. World J Diabetes. 2013 Aug 15;4(4):114-23. doi: 10.4239/wjd.v4.i4.114. PubMed 23961321 ↗
  • Anders S, Schroeter C. Diabetes, diet-health behavior, and obesity. Front Endocrinol (Lausanne). 2015 Mar 16;6:33. doi: 10.3389/fendo.2015.00033. eCollection 2015. PubMed 25852643 ↗
  • Anderson RM, Funnell MM, Fitzgerald JT, Marrero DG. The Diabetes Empowerment Scale: a measure of psychosocial self-efficacy. Diabetes Care. 2000 Jun;23(6):739-43. doi: 10.2337/diacare.23.6.739. PubMed 10840988 ↗
  • Baig AA, Benitez A, Quinn MT, Burnet DL. Family interventions to improve diabetes outcomes for adults. Ann N Y Acad Sci. 2015 Sep;1353(1):89-112. doi: 10.1111/nyas.12844. Epub 2015 Aug 6. PubMed 26250784 ↗
  • Benjamini Y., Hochberg Y. (1995). Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society. Series B (Methodological), 57(1), 289-300
  • Bhupathiraju SN, Hu FB. Epidemiology of Obesity and Diabetes and Their Cardiovascular Complications. Circ Res. 2016 May 27;118(11):1723-35. doi: 10.1161/CIRCRESAHA.115.306825. PubMed 27230638 ↗
  • Chapman-Novakofski K, Karduck J. Improvement in knowledge, social cognitive theory variables, and movement through stages of change after a community-based diabetes education program. J Am Diet Assoc. 2005 Oct;105(10):1613-6. doi: 10.1016/j.jada.2005.07.010. PubMed 16183364 ↗
  • Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003 Aug;35(8):1381-95. doi: 10.1249/01.MSS.0000078924.61453.FB. PubMed 12900694 ↗
  • Demir D, Bektas M. The effect of childrens' eating behaviors and parental feeding style on childhood obesity. Eat Behav. 2017 Aug;26:137-142. doi: 10.1016/j.eatbeh.2017.03.004. Epub 2017 Mar 22. PubMed 28363115 ↗
  • Fisher L, Glasgow RE, Mullan JT, Skaff MM, Polonsky WH. Development of a brief diabetes distress screening instrument. Ann Fam Med. 2008 May-Jun;6(3):246-52. doi: 10.1370/afm.842. PubMed 18474888 ↗
  • Fruh SM. Obesity: Risk factors, complications, and strategies for sustainable long-term weight management. J Am Assoc Nurse Pract. 2017 Oct;29(S1):S3-S14. doi: 10.1002/2327-6924.12510. PubMed 29024553 ↗
  • Garcia AA, Villagomez ET, Brown SA, Kouzekanani K, Hanis CL. The Starr County Diabetes Education Study: development of the Spanish-language diabetes knowledge questionnaire. Diabetes Care. 2001 Jan;24(1):16-21. doi: 10.2337/diacare.24.1.16. PubMed 11194219 ↗
  • Griffie D, James L, Goetz S, Balotti B, Shr YH, Corbin M, Kelsey TW. Outcomes and Economic Benefits of Penn State Extension's Dining With Diabetes Program. Prev Chronic Dis. 2018 May 3;15:E50. doi: 10.5888/pcd15.170407. PubMed 29729134 ↗
  • Hales CM, Carroll MD, Fryar CD, Ogden CL. Prevalence of Obesity and Severe Obesity Among Adults: United States, 2017-2018. NCHS Data Brief. 2020 Feb;(360):1-8. PubMed 32487284 ↗
  • Hood KK, Hilliard M, Piatt G, Ievers-Landis CE. Effective strategies for encouraging behavior change in people with diabetes. Diabetes Manag (Lond). 2015;5(6):499-510. PubMed 30100925 ↗
  • Hoogland AI, Hoogland CE, Bardach SH, Tarasenko YN, Schoenberg NE. Health Behaviors in Rural Appalachia. South Med J. 2019 Aug;112(8):444-449. doi: 10.14423/SMJ.0000000000001008. PubMed 31375842 ↗
  • Kirkman MS, Briscoe VJ, Clark N, Florez H, Haas LB, Halter JB, Huang ES, Korytkowski MT, Munshi MN, Odegard PS, Pratley RE, Swift CS. Diabetes in older adults. Diabetes Care. 2012 Dec;35(12):2650-64. doi: 10.2337/dc12-1801. Epub 2012 Oct 25. No abstract available. PubMed 23100048 ↗
  • Kritchevsky SB. Taking Obesity in Older Adults Seriously. J Gerontol A Biol Sci Med Sci. 2017 Dec 12;73(1):57-58. doi: 10.1093/gerona/glx228. No abstract available. PubMed 29240912 ↗
  • Lawrence JM, Divers J, Isom S, Saydah S, Imperatore G, Pihoker C, Marcovina SM, Mayer-Davis EJ, Hamman RF, Dolan L, Dabelea D, Pettitt DJ, Liese AD; SEARCH for Diabetes in Youth Study Group. Trends in Prevalence of Type 1 and Type 2 Diabetes in Children and Adolescents in the US, 2001-2017. JAMA. 2021 Aug 24;326(8):717-727. doi: 10.1001/jama.2021.11165. PubMed 34427600 ↗
  • Martire LM, Helgeson VS. Close relationships and the management of chronic illness: Associations and interventions. Am Psychol. 2017 Sep;72(6):601-612. doi: 10.1037/amp0000066. PubMed 28880106 ↗
  • Massey, C.N., Appel, S.J., Buchanan, K.L., et al. (2010) Improving Diabetes Care in Rural Communities: An Overview of Current Initiatives and a Call for Renewed Efforts. Clinical Diabetes, 28, 20-27. http://dx.doi.org/10.2337/diaclin.28.1.20
  • Mayberry LS, Berg CA, Greevy RA Jr, Wallston KA. Assessing helpful and harmful family and friend involvement in adults' type 2 diabetes self-management. Patient Educ Couns. 2019 Jul;102(7):1380-1388. doi: 10.1016/j.pec.2019.02.027. Epub 2019 Mar 1. PubMed 30922622 ↗
  • Misra R, Fitch C. A model exploring the relationship between nutrition knowledge, behavior, diabetes self-management and outcomes from the dining with diabetes program. Prev Med. 2020 Dec;141:106296. doi: 10.1016/j.ypmed.2020.106296. Epub 2020 Oct 23. PubMed 33132185 ↗
  • Okobi OE, Ajayi OO, Okobi TJ, Anaya IC, Fasehun OO, Diala CS, Evbayekha EO, Ajibowo AO, Olateju IV, Ekabua JJ, Nkongho MB, Amanze IO, Taiwo A, Okorare O, Ojinnaka US, Ogbeifun OE, Chukwuma N, Nebuwa EJ, Omole JA, Udoete IO, Okobi RK. The Burden of Obesity in the Rural Adult Population of America. Cureus. 2021 Jun 20;13(6):e15770. doi: 10.7759/cureus.15770. eCollection 2021 Jun. PubMed 34295580 ↗
  • Rollnick S, Butler CC, Kinnersley P, Gregory J, Mash B. Motivational interviewing. BMJ. 2010 Apr 27;340:c1900. doi: 10.1136/bmj.c1900. No abstract available. PubMed 20423957 ↗
  • Schmitt A, Gahr A, Hermanns N, Kulzer B, Huber J, Haak T. The Diabetes Self-Management Questionnaire (DSMQ): development and evaluation of an instrument to assess diabetes self-care activities associated with glycaemic control. Health Qual Life Outcomes. 2013 Aug 13;11:138. doi: 10.1186/1477-7525-11-138. PubMed 23937988 ↗
  • Schor EL. The influence of families on child health. Family behaviors and child outcomes. Pediatr Clin North Am. 1995 Feb;42(1):89-102. doi: 10.1016/s0031-3955(16)38910-6. PubMed 7854880 ↗
  • Sherbourne CD, Stewart AL. The MOS social support survey. Soc Sci Med. 1991;32(6):705-14. doi: 10.1016/0277-9536(91)90150-b. PubMed 2035047 ↗
  • Strasser B. Physical activity in obesity and metabolic syndrome. Ann N Y Acad Sci. 2013 Apr;1281(1):141-59. doi: 10.1111/j.1749-6632.2012.06785.x. Epub 2012 Nov 21. PubMed 23167451 ↗
  • Swift DL, Johannsen NM, Lavie CJ, Earnest CP, Church TS. The role of exercise and physical activity in weight loss and maintenance. Prog Cardiovasc Dis. 2014 Jan-Feb;56(4):441-7. doi: 10.1016/j.pcad.2013.09.012. Epub 2013 Oct 11. PubMed 24438736 ↗
  • van Dijk SJ, Molloy PL, Varinli H, Morrison JL, Muhlhausler BS; Members of EpiSCOPE. Epigenetics and human obesity. Int J Obes (Lond). 2015 Jan;39(1):85-97. doi: 10.1038/ijo.2014.34. Epub 2014 Feb 25. PubMed 24566855 ↗
  • Weihs, K., Fisher, L., & Baird, M. (2002). Families, health, and behavior: A section of the commissioned report by the Committee on Health and Behavior: Research, Practice, and Policy Division of Neuroscience and Behavioral Health and Division of Health Promotion and Disease Prevention Institute of Medicine, National Academy of Sciences. Families, Systems, & Health, 20(1), 7-46. https://doi.org/10.1037/h0089481
  • Smalls BL, Ortz CL, Barr-Porter M, Norman-Burgdolf H, McLouth CJ, Harlow B, Leshi O. Promoting Intergenerational Health in Rural Kentuckians With Diabetes (PIHRK'D): Protocol for a Longitudinal Cohort Study. JMIR Res Protoc. 2025 Jul 24;14:e69301. doi: 10.2196/69301. PubMed 40705414 ↗

Individual participant data

Plan to share: No — The participants have been informed that their personal data will not be shared, and their confidentiality will be kept.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Aug 5, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06080425
Lead sponsor
The University of Texas Medical Branch, Galveston
Collaborators
American Diabetes Association
Responsible party
Sponsor
First posted
Oct 12, 2023
Start date
Sep 1, 2023
Primary completion
Feb 25, 2026
Completion
Feb 28, 2026
Last update
Aug 5, 2026

Study contacts

Brittany Smalls, PhD
principal investigator · University of Texas Medical Branch, Galveston

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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