- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06080425
Promoting Intergenerational Health in Rural Kentuckians With Diabetes (PIHRK'D) (PIHRK'D)
Addressing Intergenerational Obesity and Promoting Healthy Eating and Physical Activity Among Individuals [PIHRK'D] Living With Diabetes in Rural Kentucky
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.
Study Overview
Status
Conditions
Intervention / Treatment
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.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Kindness Akwari
- Phone Number: (409)772-1011
- Email: kcakwari@utmb.edu
Study Locations
-
-
Texas
-
Galveston, Texas, United States, 77566
- Recruiting
- University of Texas Medical Branch, Galveston
-
Contact:
- Kindness Setser
- Phone Number: 409-772-1011
- Email: kcakwari@utmb.edu
-
Principal Investigator:
- Brittany L. Smalls, PhD, MPH
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
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:
- potential participants without consent
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Supportive Care
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Other: Medical Nutrition Therapy
Medical Nutrition therapy is an intervention that will be administered to the participants for 6 months.
|
Counselling
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
hemoglobin A1c values measured at the five post-baseline follow-up points
Time Frame: baseline, 3 months, 6 months, 9 months and 12 months
|
This is a test that measures average blood sugar levels over the past 3 months
|
baseline, 3 months, 6 months, 9 months and 12 months
|
|
body weight measured at the five post-baseline follow-up points
Time Frame: baseline, 3 months, 6 months, 9 months and 12 months
|
This is an indices used in the estimation of BMI
|
baseline, 3 months, 6 months, 9 months and 12 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Dietary Intake
Time Frame: baseline, 3 months, 6 months, 9 months and 12 months
|
24-hour dietary will be used to estimate the dietary intake of the participants
|
baseline, 3 months, 6 months, 9 months and 12 months
|
|
Diabetes Distress
Time Frame: baseline, 3 months, 6 months, 9 months and 12 months
|
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)
|
baseline, 3 months, 6 months, 9 months and 12 months
|
|
Diabetes Knowledge
Time Frame: baseline, 3 months, 6 months, 9 months and 12 months
|
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.
|
baseline, 3 months, 6 months, 9 months and 12 months
|
|
Diabetes self-management
Time Frame: baseline, 3 months, 6 months, 9 months and 12 months
|
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). |
baseline, 3 months, 6 months, 9 months and 12 months
|
Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Brittany Smalls, PhD, University of Texas Medical Branch, Galveston
Publications and helpful links
General Publications
- 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.
- 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.
- 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.
- 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.
- Ali O. Genetics of type 2 diabetes. World J Diabetes. 2013 Aug 15;4(4):114-23. doi: 10.4239/wjd.v4.i4.114.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
- 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.
- 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.
- 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.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 25-0225
- 3048115811 (Other Grant/Funding Number: American Diabetes Association)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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