- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07387393
To Test the Effectiveness and Implementation Approach of a 3-month PILI Pasifika Program Lifestyle Program With Components of Social Determinants of Health Activities in Real-world Settings (Clinical and Non-clinical Settings) Across 3 Years
Peau o le Vasa: Accelerating the Currents of Health Advances for Pasifika People
In this study, the investigators are conducting a Type 3 hybrid effectiveness-implementation trial to evaluate the implementation of the Community Health Workers (CHW)-delivered PILI Pasifika Program (PPP) across 3 regions, the U.S. Affiliated Pacific Islands (USAPI), the continental U.S., and Hawai'i, among 400 Native Hawaiian and Pacific Islander (NHPI) participants in two settings, (clinical and non-clinical) over a 3-year period. The PPP is a 3-month lifestyle intervention that includes a Social Determinants of Health (SDOH) component and was NHPI-adapted from the Diabetes Prevention Program's Lifestyle Program, renamed to the PILI Lifestyle Program (PLP), which demonstrated effectiveness in improving weight, blood pressure, physical activity, and diet among NHPIs. The PPP consists of 8 lifestyle lessons and 4 SDOH activities delivered over a 3-month period.
The aims of this study are threefold:
- To evaluate the implementation of the PPP across multiple community sites using a Type 3 hybrid effectiveness-implementation design guided by established frameworks such as RE-AIM and PRISM.
- To examine participant-level outcomes associated with PPP implementation, including changes in cardiometabolic risk factors, health behaviors, and SDOH factors from baseline to 3 and 9-month follow-up.
- To evaluate the cost and cost-effectiveness of implementing the PPP across community settings.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Native Hawaiians and Pacific Islanders (NHPIs) continue to disproportionally experience high rates of cardiometabolic conditions, including obesity, hypertension, type 2 diabetes, and cardiovascular disease. To address these inequities, the Diabetes Prevention Program's Lifestyle Intervention (DPP-LI) was developed and subsequently culturally and contextually adapted into the PILI Lifestyle Program (PLP). Through consolidation and collaboration with NHPIs to revamp the DPP-LI, the original 16 lessons were modified into 8 lessons delivered over a 3-month period. These lessons offer empirically supported strategies, based on the Social Cognitive Theory, to improve healthy eating, physical activity, and time and stress management.
Community Health Workers (CHWs) serve as frontline public health workers and trusted community resources who can effectively disseminate and implement cardiometabolic-related interventions across diverse settings. The trusting relationship CHWs have with communities enables them to serve as a liaison and intermediaries between health, social, and cultural services and the community, facilitating access to services and improving their quality and cultural competence. NHPI CHWs are uniquely positioned to deliver effective interventions that improve cardiometabolic health outcomes and address their social determinants.
The PLP was adapted to include a Social Determinants of Health (SDOH) component and evaluated for its effectiveness in ClinicalTrials NCT06471595, resulting in what is now known as the PILI Pasifika Program (PPP).
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Anna Fan, BA
- Phone Number: 808-206-4790
- Email: annafan@hawaii.edu
Study Contact Backup
- Name: Claire T Ing, DrPH
- Phone Number: 808-692-1042
- Email: clairemt@hawaii.edu
Study Locations
-
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Arkansas
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Fayetteville, Arkansas, United States, 72704
- National Association of Pasifika Organizations
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Hawaii
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Honolulu, Hawaii, United States, 96813
- Papa Ola Lokahi
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Self-identify as Native Hawaiian or Pacific Islander
- 18 years of age or older
- Have at least one of the following self-reported cardiometabolic conditions (Overweight or obesity defined as BMI ≥ 25, pre-diabetes or diabetes, high blood pressure, and/or high cholesterol)
- Able to do a moderate level of physical activity or exercise
Exclusion Criteria:
- Do not identify as Native Hawaiian or Pacific Islander
- Under 18 years of age
- Currently a student
- Do not have any of the following conditions (overweight/obesity, pre-diabetes/diabetes, high blood pressure, or high cholesterol)
- Have special dietary needs/dietary restrictions (due to cultural reasons and/or told by a healthcare provider)
- Pregnant women
- Have physical activity limitations/restrictions (told by a healthcare provider)
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Non-Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
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Experimental: PILI Pasifika Program - Clinical Setting
Participants in this group will engage in a 3-month PILI Pasifika Program (PPP) with a trained Community Health Worker (CHW).
Each week during the 3-months, participants will meet for approximately 1-1.5 hours to receive a Weekly Lesson or engage in an SDOH activity.
Participants will also complete an assessment at baseline, at the 3-month program completion, and at the 9-month follow-up.
|
The PILI Pasifika Program (PPP) is an adapted 3-month behavioral lifestyle intervention with an enhanced social determinants of health (SDOH) component focused on initiating weight loss and addressing social and cultural challenges, such as access to healthy foods, housing, and employment issues, among Native Hawaiians and Pacific Islanders (NHPIs).
The 3-month PPP includes 8 lessons that offer empirically supported strategies (e.g., plate method, stimulus control), grounded in Social Cognitive Theory, to improve healthy eating, physical activity, and time and stress management, as well as 4 SDOH activities that guide community needs, such as food access, transportation, and housing throughout the program.
Other Names:
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Experimental: PILI Pasifika Program - Community (Non-Clinical) Setting
Participants in this group will engage in a 3-month PILI Pasifika Program (PPP) with a trained Community Health Worker (CHW).
Each week during the 3-months, participants will meet for approximately 1-1.5 hours to receive a Weekly Lesson or engage in an SDOH activity.
Participants will also complete an assessment at baseline, at the 3-month program completion, and at the 9-month follow-up.
|
The PILI Pasifika Program (PPP) is an adapted 3-month behavioral lifestyle intervention with an enhanced social determinants of health (SDOH) component focused on initiating weight loss and addressing social and cultural challenges, such as access to healthy foods, housing, and employment issues, among Native Hawaiians and Pacific Islanders (NHPIs).
The 3-month PPP includes 8 lessons that offer empirically supported strategies (e.g., plate method, stimulus control), grounded in Social Cognitive Theory, to improve healthy eating, physical activity, and time and stress management, as well as 4 SDOH activities that guide community needs, such as food access, transportation, and housing throughout the program.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Hemoglobin A1C
Time Frame: Assessment data will be collected at baseline, 3-month follow-up, and 9-month follow-up.
|
A finger stick sample will be collected to measure hemoglobin A1C using the A1CNow+ kit.
|
Assessment data will be collected at baseline, 3-month follow-up, and 9-month follow-up.
|
|
Lipid Panel
Time Frame: Assessment data will be collected at baseline, 3-month follow-up, and 9-month follow-up.
|
A fingerstick sample will be collected to measure Total Cholesterol, High-Density Lipoprotein (HDL), Low-Density Lipoprotein (LDL), and Triglycerides using the CardioChek Plus Analyzer.
|
Assessment data will be collected at baseline, 3-month follow-up, and 9-month follow-up.
|
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Weight
Time Frame: Assessment data will be collected at baseline, 3-month follow-up, and 9-month follow-up.
|
Weight will be calculated using a standardized mobile medical flat scale (Seca 876).
|
Assessment data will be collected at baseline, 3-month follow-up, and 9-month follow-up.
|
|
Blood Pressure
Time Frame: Assessment data will be collected at baseline, 3-month follow-up, and 9-month follow-up.
|
Systolic and diastolic blood pressure will both be measured by a digital blood pressure monitor device (Omron HEM-907XL IntelliSense).
|
Assessment data will be collected at baseline, 3-month follow-up, and 9-month follow-up.
|
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Body Mass Index (BMI)
Time Frame: Assessment data will be collected at baseline and 3-month follow-up.
|
Height data will be measured at baseline using a standardized portable stadiometer.
Weight will be measured using a standardized mobile medical flat scale.
BMI will be calculated.
|
Assessment data will be collected at baseline and 3-month follow-up.
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Dietary Questionnaire
Time Frame: Assessment data will be collected at baseline, 3-month follow-up, and 9-month follow-up.
|
A 5-item will be used to estimate the frequency and types of food a participant consumed in the past month.
Taken directly from Common Survey IV, the dietary questionnaire consists of 5 items, documenting how many times per week in the past month participants have consumed specific types of food.
The responses range from Never, 1-2 times per week, 3-4 times per week, 5-6 times per week, More than 6 times per week, and Don't know.
|
Assessment data will be collected at baseline, 3-month follow-up, and 9-month follow-up.
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|
Brief Physical Activity Questionnaire
Time Frame: Assessment data will be collected at baseline, 3-month follow-up, and 9-month follow-up.
|
A 2-item physical activity questionnaire will be used to briefly assess average physical activity behavior per week and the duration of the physical activity.
|
Assessment data will be collected at baseline, 3-month follow-up, and 9-month follow-up.
|
|
Food Literacy Form
Time Frame: Assessment data will be collected at baseline, 3-month follow-up, and 9-month follow-up.
|
An 11-item questionnaire on food literacy will be used to ask participants' food literacy in regard to planning, managing, selecting, preparing, and eating healthy foods.
The responses and scores range from 1-not at all/never, 2-disagree, 3-slightly disagree, 4-slightly agree, 5-yes/always.
Higher scores indicate greater food literacy.
|
Assessment data will be collected at baseline, 3-month follow-up, and 9-month follow-up.
|
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Well-Being Questionnaire
Time Frame: Assessment data will be collected at baseline, 3-month follow-up, and 9-month follow-up.
|
A 6-item questionnaire used to briefly assess satisfaction of well-being in standard of living, health, past and present achievements in life, personal relationships, safety, and feeling of belonging.
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Assessment data will be collected at baseline, 3-month follow-up, and 9-month follow-up.
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Food Insecurity Form
Time Frame: Assessment data will be collected at baseline, 3-month follow-up, and 9-month follow-up.
|
An 11-item questionnaire on food literacy will be used to assess participants' food literacy in regard to planning, managing, selecting, preparing, and eating healthy foods.
The responses and scores range from 1-not at all/never, 2-disagree, 3-slightly disagree, 4-slightly agree, 5-yes/always.
Higher scores indicate greater food literacy.
|
Assessment data will be collected at baseline, 3-month follow-up, and 9-month follow-up.
|
|
Food Access Form
Time Frame: Assessment data will be collected at baseline and 3-month follow-up.
|
An 11-item food access questionnaire will be used to assess household food access and the frequency with which households experience food-related challenges.
Responses of "All the time (every day)", "Pretty often (3-6x per week)", "Once in a while (1-2x per week)", "Hardly at all (<1x per week)", and "Never".
Higher scores indicate lower levels of food access.
|
Assessment data will be collected at baseline and 3-month follow-up.
|
|
Food Access SDOH Form
Time Frame: Assessment data will be collected at baseline and 3-month follow-up.
|
A 5-item form on food access will be used to assess household food access over the past 12 months, including food availability, affordability, and ability to obtain balanced meals.
|
Assessment data will be collected at baseline and 3-month follow-up.
|
|
Medical Care Access SDOH Form
Time Frame: Assessment data will be collected at baseline and 3-month follow-up.
|
A 5-item measure to assess medical healthcare access and utilization, source of care, insurance coverage, cost-related delays, provider availability, and health literacy.
|
Assessment data will be collected at baseline and 3-month follow-up.
|
|
Dental Care SDOH Form
Time Frame: Assessment data will be collected at baseline and 3-month follow-up.
|
A 3-item measure to assess barriers to dental care.
|
Assessment data will be collected at baseline and 3-month follow-up.
|
|
Housing SDOH Form
Time Frame: Assessment data will be collected at baseline and 3-month follow-up.
|
A 4-item measure to assess housing situation.
|
Assessment data will be collected at baseline and 3-month follow-up.
|
|
Transportation and Environment SDOH Form
Time Frame: Assessment data will be collected at baseline and 3-month follow-up.
|
A 4-item measure to assess transportation access and neighborhood environment.
|
Assessment data will be collected at baseline and 3-month follow-up.
|
|
Social and Emotional Health SDOH Form
Time Frame: Assessment data will be collected at baseline and 3-month follow-up.
|
A 4-item measure to assess psychosocial well-being, social connectedness, perceived stress, and perceived safety.
|
Assessment data will be collected at baseline and 3-month follow-up.
|
|
Health Literacy SDOH Form
Time Frame: Assessment data will be collected at baseline and 3-month follow-up.
|
An 18-item measure to assess health literacy.
|
Assessment data will be collected at baseline and 3-month follow-up.
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Nia Aitaoto, PhD, National Association of Pasifika Organizations
- Principal Investigator: Joseph K Kaholokula, PhD, University of Hawaii, Department of Native Hawaiian Health
- Principal Investigator: Sheri-Ann Daniels, EdD, Papa Ola Lokahi
Publications and helpful links
General Publications
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- Proctor EK, Powell BJ, McMillen JC. Implementation strategies: recommendations for specifying and reporting. Implement Sci. 2013 Dec 1;8:139. doi: 10.1186/1748-5908-8-139.
- Powell BJ, Waltz TJ, Chinman MJ, Damschroder LJ, Smith JL, Matthieu MM, Proctor EK, Kirchner JE. A refined compilation of implementation strategies: results from the Expert Recommendations for Implementing Change (ERIC) project. Implement Sci. 2015 Feb 12;10:21. doi: 10.1186/s13012-015-0209-1.
- Ehrhart MG, Aarons GA, Farahnak LR. Assessing the organizational context for EBP implementation: the development and validity testing of the Implementation Climate Scale (ICS). Implement Sci. 2014 Oct 23;9:157. doi: 10.1186/s13012-014-0157-1.
- Waltz TJ, Powell BJ, Matthieu MM, Damschroder LJ, Chinman MJ, Smith JL, Proctor EK, Kirchner JE. Use of concept mapping to characterize relationships among implementation strategies and assess their feasibility and importance: results from the Expert Recommendations for Implementing Change (ERIC) study. Implement Sci. 2015 Aug 7;10:109. doi: 10.1186/s13012-015-0295-0.
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- Martiniuk AL, Lee CM, Lawes CM, Ueshima H, Suh I, Lam TH, Gu D, Feigin V, Jamrozik K, Ohkubo T, Woodward M; Asia-Pacific Cohort Studies Collaboration. Hypertension: its prevalence and population-attributable fraction for mortality from cardiovascular disease in the Asia-Pacific region. J Hypertens. 2007 Jan;25(1):73-9. doi: 10.1097/HJH.0b013e328010775f.
- Aluli NE, Reyes PW, Brady SK, Tsark JU, Jones KL, Mau M, Howard WJ, Howard BV. All-cause and CVD mortality in Native Hawaiians. Diabetes Res Clin Pract. 2010 Jul;89(1):65-71. doi: 10.1016/j.diabres.2010.03.003. Epub 2010 Apr 14.
- Mau MK, West MR, Shara NM, Efird JT, Alimineti K, Saito E, Sugihara J, Ng R. Epidemiologic and clinical factors associated with chronic kidney disease among Asian Americans and Native Hawaiians. Ethn Health. 2007 Apr;12(2):111-27. doi: 10.1080/13557850601081720.
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- Narcisse MR, Felix H, Long CR, Hudson T, Payakachat N, Bursac Z, McElfish PA. Frequency and predictors of health services use by Native Hawaiians and Pacific Islanders: evidence from the U.S. National Health Interview Survey. BMC Health Serv Res. 2018 Jul 21;18(1):575. doi: 10.1186/s12913-018-3368-3. Erratum In: BMC Health Serv Res. 2018 Dec 4;18(1):940. doi: 10.1186/s12913-018-3754-x.
- Mau MK, Keawe'aimoku Kaholokula J, West MR, Leake A, Efird JT, Rose C, Palakiko DM, Yoshimura S, Kekauoha PB, Gomes H. Translating diabetes prevention into native Hawaiian and Pacific Islander communities: the PILI 'Ohana Pilot project. Prog Community Health Partnersh. 2010 Spring;4(1):7-16. doi: 10.1353/cpr.0.0111.
- Kaholokula JK, Wilson RE, Townsend CK, Zhang GX, Chen J, Yoshimura SR, Dillard A, Yokota JW, Palakiko DM, Gamiao S, Hughes CK, Kekauoha BK, Mau MK. Translating the Diabetes Prevention Program in Native Hawaiian and Pacific Islander communities: the PILI 'Ohana Project. Transl Behav Med. 2014 Jun;4(2):149-59. doi: 10.1007/s13142-013-0244-x.
- Townsend CK, Miyamoto RE, Antonio M, Zhang G, Paloma D, Basques D, Braun KL, Kaholokula JK. The PILI@Work Program: a translation of the diabetes prevention program to Native Hawaiian-serving worksites in Hawai'i. Transl Behav Med. 2016 Jun;6(2):190-201. doi: 10.1007/s13142-015-0383-3.
- Long CR, Rowland B, McElfish PA, Ayers BL, Narcisse MR. Food Security Status of Native Hawaiians and Pacific Islanders in the US: Analysis of a National Survey. J Nutr Educ Behav. 2020 Aug;52(8):788-795. doi: 10.1016/j.jneb.2020.01.009. Epub 2020 Mar 14.
- Tsark JU, Braun KL. Eyes on the Pacific: cancer issues of Native Hawaiians and Pacific Islanders in Hawai'i and the US-associated Pacific. J Cancer Educ. 2009;24(2 Suppl):S68-9. doi: 10.1080/08858190903404619. No abstract available.
- Chihara I, Hayes DK, Chock LR, Fuddy LJ, Rosenberg DL, Handler AS. Relationship between gestational weight gain and birthweight among clients enrolled in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC), Hawaii, 2003-2005. Matern Child Health J. 2014 Jul;18(5):1123-31. doi: 10.1007/s10995-013-1342-6.
- Wu Y, Braun K, Onaka AT, Horiuchi BY, Tottori CJ, Wilkens L. Life Expectancies in Hawai'i: A Multi-ethnic Analysis of 2010 Life Tables. Hawaii J Med Public Health. 2017 Jan;76(1):9-14.
- Panapasa SV, Mau MK, Williams DR, McNally JW. Mortality patterns of Native Hawaiians across their lifespan: 1990-2000. Am J Public Health. 2010 Nov;100(11):2304-10. doi: 10.2105/AJPH.2009.183541. Epub 2010 Sep 23.
- Nakagawa K, Koenig MA, Seto TB, Asai SM, Chang CW. Racial disparities among Native Hawaiians and Pacific Islanders with intracerebral hemorrhage. Neurology. 2012 Aug 14;79(7):675-80. doi: 10.1212/WNL.0b013e3182608c6f. Epub 2012 Jul 18.
- Watson RE, Karnchanasorn R, Gossain VV. Hypertension in Asian/Pacific Island Americans. J Clin Hypertens (Greenwich). 2009 Mar;11(3):148-52. doi: 10.1111/j.1751-7176.2009.00088.x.
- Bacong AM, Holub C, Porotesano L. Comparing Obesity-Related Health Disparities among Native Hawaiians/Pacific Islanders, Asians, and Whites in California: Reinforcing the Need for Data Disaggregation and Operationalization. Hawaii J Med Public Health. 2016 Nov;75(11):337-344.
- Glasgow RE, Trinkley KE, Ford B, Rabin BA. The Application and Evolution of the Practical, Robust Implementation and Sustainability Model (PRISM): History and Innovations. Glob Implement Res Appl. 2024;4(4):404-420. doi: 10.1007/s43477-024-00134-6. Epub 2024 Aug 31.
- Kaholokula JK, Look M, Mabellos T, Ahn HJ, Choi SY, Sinclair KA, Wills TA, Seto TB, de Silva M. A Cultural Dance Program Improves Hypertension Control and Cardiovascular Disease Risk in Native Hawaiians: A Randomized Controlled Trial. Ann Behav Med. 2021 Oct 4;55(10):1006-1018. doi: 10.1093/abm/kaaa127.
- DePue JD, Dunsiger S, Seiden AD, Blume J, Rosen RK, Goldstein MG, Nu'usolia O, Tuitele J, McGarvey ST. Nurse-community health worker team improves diabetes care in American Samoa: results of a randomized controlled trial. Diabetes Care. 2013 Jul;36(7):1947-53. doi: 10.2337/dc12-1969. Epub 2013 Feb 7.
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- McElfish PA, Purvis RS, Esquivel MK, Sinclair KA, Townsend C, Hawley NL, Haggard-Duff LK, Kaholokula JK. Diabetes Disparities and Promising Interventions to Address Diabetes in Native Hawaiian and Pacific Islander Populations. Curr Diab Rep. 2019 Mar 18;19(5):19. doi: 10.1007/s11892-019-1138-1.
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- Grandinetti A, Kaholokula JK, Theriault AG, Mor JM, Chang HK, Waslien C. Prevalence of diabetes and glucose intolerance in an ethnically diverse rural community of Hawaii. Ethn Dis. 2007 Spring;17(2):250-5.
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Study record dates
Study Major Dates
Study Start (Estimated)
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
Keywords
- Lifestyle Intervention
- Education
- Social Determinants of Health
- Community Health Workers
- Native Hawaiians
- PPP
- CHWs
- Community-Based Participatory Research (CBPR)
- Pacific Islanders
- Weight Loss Intervention
- PILI Lifestyle Program
- U.S. Pacific Jurisdictions
- Continental U.S.
- Hawai'i
- Pacific Islands
- Academic and Community Partnership
- PILI Pasifika Program
Additional Relevant MeSH Terms
- Endocrine System Diseases
- Vascular Diseases
- Cardiovascular Diseases
- Nutrition Disorders
- Metabolic Diseases
- Overnutrition
- Body Weight
- Glucose Metabolism Disorders
- Diabetes Mellitus
- Lipid Metabolism Disorders
- Hyperglycemia
- Pathological Conditions, Signs and Symptoms
- Nutritional and Metabolic Diseases
- Signs and Symptoms
- Overweight
- Hypertension
- Diabetes Mellitus, Type 2
- Dyslipidemias
- Glucose Intolerance
Other Study ID Numbers
- Peau o le Vasa Phase II
- OT2HL158287 (U.S. NIH Grant/Contract)
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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Daewon Pharmaceutical Co., Ltd.Completed
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Addpharma Inc.RecruitingMixed DyslipidemiaKorea, Republic of
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Hanlim Pharm. Co., Ltd.RecruitingMixed DyslipidemiaKorea, Republic of
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IlDong Pharmaceutical Co LtdNot yet recruiting
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Arrowhead PharmaceuticalsCompletedMixed DyslipidemiaUnited States, Australia, Canada, Hungary, New Zealand, Poland
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Shanghai Argo Biopharmaceutical Co., Ltd.Active, not recruiting
Clinical Trials on PILI (Partnership for Improving Lifestyle Intervention) Pasifika Program
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University of HawaiiNational Heart, Lung, and Blood Institute (NHLBI); National Association of... and other collaboratorsCompletedHypertension | Type 2 Diabetes Mellitus | Dyslipidemia | Pre-diabetes | Cardiometabolic Syndrome | Weight Loss TrialUnited States
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University of ArkansasPatient-Centered Outcomes Research InstituteCompletedDiabetes Mellitus, Type 2United States
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Université de SherbrookeCanadian Institutes of Health Research (CIHR); Ministere de la Sante et des...CompletedObesity | Polycystic Ovary Syndrome | Female InfertilityCanada
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University of ArkansasNational Institute on Minority Health and Health Disparities (NIMHD)Completed
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Vastra Gotaland RegionGöteborg UniversityRecruiting