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Healthy Lifestyles for Mentally Ill People Who Have Experienced Weight Gain From Their Antipsychotic Medications (MAMAO)

Primary Purpose

Diabetes, Obesity, Weight Gain

Status
Completed
Phase
Not Applicable
Locations
United States
Study Type
Interventional
Intervention
Behavioral Weight Loss Program
Sponsored by
VA Office of Research and Development
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional treatment trial for Diabetes focused on measuring Antipsychotic, Bipolar, Diabetes, Mental Illness, Nutrition, Obesity, Schizoaffective, Schizophrenia, Weight Gain, Weight Loss

Eligibility Criteria

18 Years - 70 Years (Adult, Older Adult)All SexesDoes not accept healthy volunteers

Inclusion Criteria: Must be a Veteran Diagnosis of psychotic disorders, schizophrenia, schizoaffective disorder and bipolar illness Age 18-70 Clinically determined to require ongoing treatment with Second Generation Antipsychotics (SGA) such as olanzapine, risperidone, quetiapine, ziprasidone, aripiprazole, clozapine Experienced weight gain since treatment with SGA's Inpatient or outpatient at the West Los Angeles VA Competent to sign informed consent Exclusion Criteria: Have recently been diagnosed with schizophrenia (less than 1 year) Are pregnant or breast feeding a baby Have a medically unstable condition

Sites / Locations

  • VA Greater Los Angeles Healthcare System, West Los Angeles, CA

Arms of the Study

Arm 1

Arm 2

Arm Type

No Intervention

Active Comparator

Arm Label

Usual Care

Lifestyle Balance

Arm Description

Usual Care

Behavioral Weight Loss Program

Outcomes

Primary Outcome Measures

Mean Weight
Average weight of subjects attending each of the first 8 weekly visits and the 10 monthly visits which followed, per study group.
Change in Predicted Trajectory of Mean BMI Per GLMM Analysis
General Linear Mixed Model (GLMM) is a full information maximum likelihood approach that permits inclusion of all available data and provides unbiased parameter estimates even if there are missing data under the condition that data are missing at random. The GLMM approach assumes that every patient is on a specific trajectory over time and that both the slope and the shape of this trajectory are a potential function of group membership or other person-level covariates. Using a likelihood ratio test, we compared different options to model these trajectories and found a linear model, which assumes that the same rate of change is maintained over the whole study, provided a good fit to the data. We used a linear model of the average rate of change over time (slope) for all comparisons. To illustrate the magnitude of difference between slopes for major outcomes, we report the estimated difference at 12 months between two hypothetical participants with identical baseline characteristics.
Change in Predicted Trajectory of Mean Body Fat Percentage Per GLMM Analysis
Computed as % body fat at 12 month - % body fat at baseline. General Linear Mixed Model (GLMM) is a full information maximum likelihood approach that permits inclusion of all available data and provides unbiased parameter estimates even if there are missing data under the condition that data are missing at random. The GLMM approach assumes that every patient is on a specific trajectory over time and that both the slope and the shape of this trajectory are a potential function of group membership or other person-level covariates. Using a likelihood ratio test, we found a linear model, assuming the same rate of change throughout the study, provided a good fit to the data compared to other models. We used a linear model of the average rate of change over time (slope) for all comparisons. To illustrate the magnitude of difference between slopes for major outcomes, we report the estimated difference at 12 months between two hypothetical participants with identical baseline characteristics.

Secondary Outcome Measures

Full Information

First Posted
June 22, 2006
Last Updated
March 8, 2016
Sponsor
VA Office of Research and Development
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1. Study Identification

Unique Protocol Identification Number
NCT00344500
Brief Title
Healthy Lifestyles for Mentally Ill People Who Have Experienced Weight Gain From Their Antipsychotic Medications
Acronym
MAMAO
Official Title
Management of Antipsychotic Medication Associated Obesity
Study Type
Interventional

2. Study Status

Record Verification Date
March 2016
Overall Recruitment Status
Completed
Study Start Date
October 2005 (undefined)
Primary Completion Date
September 2009 (Actual)
Study Completion Date
September 2009 (Actual)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
VA Office of Research and Development

4. Oversight

Data Monitoring Committee
Yes

5. Study Description

Brief Summary
This program aims to help Veterans who take antipsychotic medications lose weight. The investigators use a program based on the American Diabetes Association's "Diabetes Prevention Program," and the investigators have modified it to fit the lifestyles of people with mental illness. All participants are educated about nutrition and cutting down fat intake, how and when to exercise, and the causes of diabetes and how to prevent it. Participants must be Veterans who live within one hour of the West Los Angeles VA hospital.
Detailed Description
Rationale: The focus of this project is to develop a strategy to combat medication associated weight gain, the most problematic side effect of the newer antipsychotic medications. Improvements in long-term health outcomes might then be expected to change quality of life, promote treatment adherence, rehabilitative potential, and decrease resource utilization. Procedures: Half of the patients will randomized to the behavioral weight loss program (Lifestyle Balance Program) and do the following: Meet with their psychiatrist and a nutritionist who will go over diet recommendations with the patient Given a 7% weight loss goal Assisted in obtaining a 500 calorie reduction per day Asked to exercise for at least 30 min/day, at least 5 days a week Maintain weekly food and exercise diaries Be quizzed on their knowledge of healthy eating habits and nutrition The other half of the patients will be randomized to "Usual Care" and will: Receive pamphlets about Lifestyle Balance, starting exercise, and general nutritional information regarding food pyramids and the amount of calories in fast foods. Be encouraged to exercise and eat a healthy diet Not receive classes on nutrition or exercise Be seen on the same schedule as the experimental group, in order to equalize contact time. After six months, if patients in the "usual care group" wish to participate in the more rigorous behavioral weight loss program they will be given that opportunity. Visits: Time Line: Each subject will be followed for one year. Healthy Lifestyles courses will take eight weeks to complete. Visits will be monthly for the remaining 12 months Enrollment: 120 patients Course of study: October 2005-October 2008 At Beginning and Termination: Informed Consent (at start of study only) Psychiatric interviews and assessments Physical Examination Framingham risk assessment for cardiovascular disease Electrocardiogram Lipid Profile, fasting glucose, Hemoglobin A1C At Each Visit: Vitals, weight, waist circumference, BMI, and % Fat Food and exercise diaries will be reviewed At Month One and Month Six: Lipid Profile, fasting glucose, Hemoglobin A1C Electrocardiogram Psychiatric assessments At Month Nine: Lipid Profile, fasting glucose, Hemoglobin A1C Electrocardiogram Clinical Care: All patients will continue their clinical care with their current psychiatrist and general physician. Medications will not be manipulated for the purpose of this study. Incentives: The group participating in the behavioral intervention program will receive rewards for achieving weight loss goals and be given incentives such as a pedometer and Slimfast meal replacements.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Diabetes, Obesity, Weight Gain
Keywords
Antipsychotic, Bipolar, Diabetes, Mental Illness, Nutrition, Obesity, Schizoaffective, Schizophrenia, Weight Gain, Weight Loss

7. Study Design

Primary Purpose
Treatment
Study Phase
Not Applicable
Interventional Study Model
Crossover Assignment
Masking
None (Open Label)
Allocation
Randomized
Enrollment
122 (Actual)

8. Arms, Groups, and Interventions

Arm Title
Usual Care
Arm Type
No Intervention
Arm Description
Usual Care
Arm Title
Lifestyle Balance
Arm Type
Active Comparator
Arm Description
Behavioral Weight Loss Program
Intervention Type
Behavioral
Intervention Name(s)
Behavioral Weight Loss Program
Other Intervention Name(s)
Lifestyle Balance Program
Intervention Description
Patients randomized to the behavioral weight loss program (Lifestyle Balance Program) will do the following: -Meet with their psychiatrist and a nutritionist who will go over diet recommendations with the patient Be given a 7% weight loss goal Be assisted in obtaining a 500 calorie reduction per day Exercise for at least 30 min/day, at least 5 days a week Maintain weekly food and exercise diaries Be quizzed on their knowledge of healthy eating habits and nutrition
Primary Outcome Measure Information:
Title
Mean Weight
Description
Average weight of subjects attending each of the first 8 weekly visits and the 10 monthly visits which followed, per study group.
Time Frame
Weekly/Monthly, up to 1 year
Title
Change in Predicted Trajectory of Mean BMI Per GLMM Analysis
Description
General Linear Mixed Model (GLMM) is a full information maximum likelihood approach that permits inclusion of all available data and provides unbiased parameter estimates even if there are missing data under the condition that data are missing at random. The GLMM approach assumes that every patient is on a specific trajectory over time and that both the slope and the shape of this trajectory are a potential function of group membership or other person-level covariates. Using a likelihood ratio test, we compared different options to model these trajectories and found a linear model, which assumes that the same rate of change is maintained over the whole study, provided a good fit to the data. We used a linear model of the average rate of change over time (slope) for all comparisons. To illustrate the magnitude of difference between slopes for major outcomes, we report the estimated difference at 12 months between two hypothetical participants with identical baseline characteristics.
Time Frame
12 months
Title
Change in Predicted Trajectory of Mean Body Fat Percentage Per GLMM Analysis
Description
Computed as % body fat at 12 month - % body fat at baseline. General Linear Mixed Model (GLMM) is a full information maximum likelihood approach that permits inclusion of all available data and provides unbiased parameter estimates even if there are missing data under the condition that data are missing at random. The GLMM approach assumes that every patient is on a specific trajectory over time and that both the slope and the shape of this trajectory are a potential function of group membership or other person-level covariates. Using a likelihood ratio test, we found a linear model, assuming the same rate of change throughout the study, provided a good fit to the data compared to other models. We used a linear model of the average rate of change over time (slope) for all comparisons. To illustrate the magnitude of difference between slopes for major outcomes, we report the estimated difference at 12 months between two hypothetical participants with identical baseline characteristics.
Time Frame
12 months

10. Eligibility

Sex
All
Minimum Age & Unit of Time
18 Years
Maximum Age & Unit of Time
70 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria: Must be a Veteran Diagnosis of psychotic disorders, schizophrenia, schizoaffective disorder and bipolar illness Age 18-70 Clinically determined to require ongoing treatment with Second Generation Antipsychotics (SGA) such as olanzapine, risperidone, quetiapine, ziprasidone, aripiprazole, clozapine Experienced weight gain since treatment with SGA's Inpatient or outpatient at the West Los Angeles VA Competent to sign informed consent Exclusion Criteria: Have recently been diagnosed with schizophrenia (less than 1 year) Are pregnant or breast feeding a baby Have a medically unstable condition
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Donna Ames, MD
Organizational Affiliation
VA Greater Los Angeles Healthcare System, West Los Angeles, CA
Official's Role
Principal Investigator
Facility Information:
Facility Name
VA Greater Los Angeles Healthcare System, West Los Angeles, CA
City
West Los Angeles
State/Province
California
ZIP/Postal Code
90073
Country
United States

12. IPD Sharing Statement

Citations:
PubMed Identifier
17978266
Citation
Guzik LH, Wirshing DA. Behavioral weight loss classes for patients with severe mental illness. Psychiatr Serv. 2007 Nov;58(11):1498. doi: 10.1176/ps.2007.58.11.1498. No abstract available.
Results Reference
background
PubMed Identifier
26930534
Citation
Erickson ZD, Mena SJ, Pierre JM, Blum LH, Martin E, Hellemann GS, Aragaki DR, Firestone L, Lee C, Lee P, Kunkel CF, Ames D. Behavioral interventions for antipsychotic medication-associated obesity: a randomized, controlled clinical trial. J Clin Psychiatry. 2016 Feb;77(2):e183-9. doi: 10.4088/JCP.14m09552.
Results Reference
result
PubMed Identifier
32687629
Citation
Tully A, Smyth S, Conway Y, Geddes J, Devane D, Kelly JP, Jordan F. Interventions for the management of obesity in people with bipolar disorder. Cochrane Database Syst Rev. 2020 Jul 20;7(7):CD013006. doi: 10.1002/14651858.CD013006.pub2.
Results Reference
derived

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Healthy Lifestyles for Mentally Ill People Who Have Experienced Weight Gain From Their Antipsychotic Medications

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