De Por Vida: A Diabetes Risk Reduction Intervention for Hispanic Women
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The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. |
| ClinicalTrials.gov Identifier: NCT03113916 |
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Recruitment Status :
Completed
First Posted : April 14, 2017
Results First Posted : September 23, 2020
Last Update Posted : September 23, 2020
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| Condition or disease | Intervention/treatment | Phase |
|---|---|---|
| Diabetes Weight Loss PreDiabetes Obesity | Behavioral: Behavioural Lifestyle Intervention | Not Applicable |
Show detailed description
| Study Type : | Interventional (Clinical Trial) |
| Actual Enrollment : | 195 participants |
| Allocation: | Randomized |
| Intervention Model: | Parallel Assignment |
| Intervention Model Description: | Trial participants are randomly assigned to one of two conditions: 1) Enhanced usual care control, or 2) a culturally tailored behavioral intervention. |
| Masking: | Double (Participant, Outcomes Assessor) |
| Primary Purpose: | Prevention |
| Official Title: | Culturally Competent Behavioral Intervention for Diabetes Risk Reduction |
| Actual Study Start Date : | June 23, 2014 |
| Actual Primary Completion Date : | March 5, 2018 |
| Actual Study Completion Date : | March 5, 2018 |
| Arm | Intervention/treatment |
|---|---|
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Experimental: Behavioral
26 weekly behavioral intervention sessions 6 monthly behavioral intervention sessions Sessions focused on diet, physical activity, behavior change
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Behavioral: Behavioural Lifestyle Intervention
A culturally tailored behavioral intervention. |
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No Intervention: Enhanced usual care
Printed materials
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- Weight in Kilograms [ Time Frame: Baseline, 6, 12, and 18 months ]Comparison of body weight trajectories in kilograms between the intervention and usual-care control groups.
- Waist Circumference in Centimeters [ Time Frame: Baseline, 6, 12, and 18 months ]Comparison of waist circumference trajectories in centimeters between the intervention and usual-care control groups.
- Hemoglobin HbA1c % (Transformed Using the Inverse Cube, or 1/HbAlc%^3) [ Time Frame: Baseline, 6, 12 and 18 months from enrollment ]
Comparison of hemoglobin HbA1c trajectories between the intervention and usual-care control groups.
Because of the severe kurtosis and skewness present in this outcome, a transformation (using the inverse cube, or 1/HbAlc%^3) was undertaken to better meet the assumptions of the analysis. Thus, the trajectory differences between arms were formally tested using the inverse cube of HbA1c, and back transforming the least square mean estimates from this model will not result in the least square means in the original metric. We performed a sensitivity analysis using the untransformed HbA1c, and that model exhibited poorer model fit. We can present the crude, observed means, or the least square means from the model using the untransformed HbA1c if it is of greater priority to have more direct interpretability of the HbA1c values than using the model that better meets the statistical assumptions.
- Fasting Blood Glucose (Fbg; Transformed Using the Inverse Square, or 1/Fbg in mg/dl^2 ) [ Time Frame: Baseline, 6, 12, and 18 months ]
Comparison of fasting blood glucose trajectories between the intervention and usual-care control groups.
Because of the severe kurtosis and skewness present in this outcome, a transformation (using the inverse square, or 1/fasting blood glucose in mg/dl^2) was undertaken to better meet the assumptions of the analysis. Thus, the trajectory differences between arms were formally tested using the inverse square of fasting blood glucose, and back transforming the least square mean estimates from this model will not result in the least square means in the original metric. We performed a sensitivity analysis using the untransformed fasting blood glucose, and that model exhibited poorer model fit. We can present the crude, observed means, or the least square means from the model using the untransformed fasting blood glucose if it is of greater priority to have more direct interpretability of the fasting blood glucose values than using the model that better meets the statistical assumptions.
- Total Cholesterol [ Time Frame: Baseline, 6, 12, and 18 months ]Comparison of total cholesterol trajectories between the intervention and usual-care control groups.
- Number of Fruit Servings Per Day (Transformed Using the Natural Log) [ Time Frame: Baseline, 6, 12, and 18 months ]
Comparison of number fruit servings per day trajectories between the intervention and usual-care control groups.
Because of the severe kurtosis and skewness present in this outcome, a transformation (using the natural log) was undertaken to better meet the assumptions of the analysis. Thus, the trajectory differences between arms were formally tested using the log of the number of fruit servings per day, and back transforming the least square mean estimates from this model will not result in the least square means in the original metric. We performed a sensitivity analysis using the untransformed number of fruit servings per day, and that model exhibited poorer model fit. We can present the crude, observed means, or the least square means from the model using the untransformed number of fruit servings per day if it is of greater priority to have more direct interpretability of the # of fruit servings per day values than using the model that better meets the statistical assumptions.
- Number of Kilocalories [ Time Frame: Baseline, 6, 12, and 18 months ]Comparison of the number of kilocalories trajectories between the intervention and usual-care control groups.
- Sugar Intake in Grams [ Time Frame: Baseline, 6, 12, and 18 months ]Comparison of the sugar intake in grams trajectories between the intervention and usual-care control groups.
- Dietary Fiber Intake in Grams (Transformed Using the Natural Log) [ Time Frame: Baseline, 6, 12, and 18 months ]
Comparison of the dietary fiber intake in grams trajectories between the intervention and usual-care control groups.
Because of the severe kurtosis and skewness present in this outcome, a transformation (using the natural log) was undertaken to better meet the assumptions of the analysis. Thus, the trajectory differences between arms were formally tested using the log of the dietary fiber intake in grams and back transforming the least square mean estimates from this model will not result in the least square means in the original metric. We performed a sensitivity analysis using the untransformed dietary fiber intake in grams, and that model exhibited poorer model fit. We can present the crude, observed means, or the least square means from the model using the untransformed dietary fiber intake in grams if it is of greater priority to have more direct interpretability of the dietary fiber intake in grams values than using the model that better meets the statistical assumptions.
- Saturated Fat Intake as Percentage of Total Energy Intake [ Time Frame: Baseline, 6, 12, and 18 months ]Comparison of the saturated fat intake as percentage of total energy intake trajectories between the intervention and usual-care control groups.
- Number of Vegetable Servings Per Day (Transformed Using the Natural Log) [ Time Frame: Baseline, 6, 12, and 18 months ]
Comparison of the dietary intake of the number of vegetable servings per day trajectories between the intervention and usual-care control groups.
Because of the severe kurtosis and skewness present in this outcome, a transformation (using the natural log) was undertaken to better meet the assumptions of the analysis. Thus, the trajectory differences between arms were formally tested using the log of the number of vegetable servings per day, and back transforming the least square mean estimates from this model will not result in the least square means in the original metric. We performed a sensitivity analysis using the untransformed outcome, and that model exhibited poorer model fit. We can present the crude, observed means, or the least square means from the model using the untransformed number of vegetable servings per day if it is of greater priority to have more direct interpretability of the outcome values than using the model that better meets the statistical assumptions.
- Average Program Cost Per Participant [ Time Frame: 12 months ]Average cost per participant of the De Por Vida intervention and enhanced usual care
- Recruit Participants for Sustainability Phase [ Time Frame: Post-intervention for 12 months ]Number of participants recruited
Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies.
| Ages Eligible for Study: | 18 Years and older (Adult, Older Adult) |
| Sexes Eligible for Study: | Female |
| Gender Based Eligibility: | Yes |
| Accepts Healthy Volunteers: | Yes |
Inclusion Criteria:
- All participants will be patients who receive their primary medical care at the Virginia Garcia Memorial Health Center (VGMHC)
- Self-identified as Spanish-speaking Latina or Hispanic
- Female
- Age 18 and older
- BMI greater than or equal to 27kg/m2
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Classified as diabetic or prediabetic in the electronic medical record by at least one of the following:
- Fasting plasma glucose ≥ 100
- 2-h post glucose level on the 75-g oral glucose tolerance test ≥ 140-199 mg/dL (7.8-11.0 mmol/L)
- Hemoglobin HBA1c ≥ 5.7
- Diagnosis of diabetes in patient's medical chart
- Diagnosis of prediabetes in patient's medical chart
- Residing in the Portland metropolitan area, and having no plans to leave the area in the next 18 months.
- Willing and able to attend the 26-weekly group meetings and 6 monthly group meetings.
- Willing to accept random assignment to the active intervention or enhanced usual care control.
- Clearance by the patient's VGMHC primary care physician to participate in the intervention.
Exclusion Criteria:
- Treatment for cancer in the past two years (excluding non-melanoma skin cancers).
- Having conditions that require limitation of physical activity or that would be contraindicated for the DASH (Dietary Approaches to Stop Hypertension) diet patterns.
- Taking weight-loss medication currently or within the past 6 months.
- Current or recent (< 12 months) pregnancy, breastfeeding, or planning pregnancy in the next 18 months.
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT03113916
| Principal Investigator: | Nangel Lindberg, PhD | Kaiser Permanente |
Documents provided by Kaiser Permanente:
| Responsible Party: | Kaiser Permanente |
| ClinicalTrials.gov Identifier: | NCT03113916 |
| Other Study ID Numbers: |
5R01DK099277-04 ( U.S. NIH Grant/Contract ) |
| First Posted: | April 14, 2017 Key Record Dates |
| Results First Posted: | September 23, 2020 |
| Last Update Posted: | September 23, 2020 |
| Last Verified: | September 2020 |
| Individual Participant Data (IPD) Sharing Statement: | |
| Plan to Share IPD: | No |
| Studies a U.S. FDA-regulated Drug Product: | No |
| Studies a U.S. FDA-regulated Device Product: | No |
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Culturally-tailored Weight Loss Diabetes |
Women Hispanic Obesity |
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Diabetes Mellitus Weight Loss Glucose Metabolism Disorders Metabolic Diseases |
Endocrine System Diseases Body Weight Body Weight Changes |

