Healthy Lifestyles for Mentally Ill People Who Have Experienced Weight Gain From Their Antipsychotic Medications
MAMAO
Management of Antipsychotic Medication Associated Obesity
1 other identifier
interventional
122
1 country
1
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable diabetes
Started Oct 2005
Longer than P75 for not_applicable diabetes
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 1, 2005
CompletedFirst Submitted
Initial submission to the registry
June 22, 2006
CompletedFirst Posted
Study publicly available on registry
June 26, 2006
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 1, 2009
CompletedStudy Completion
Last participant's last visit for all outcomes
September 1, 2009
CompletedResults Posted
Study results publicly available
May 18, 2015
CompletedApril 6, 2016
March 1, 2016
3.9 years
June 22, 2006
April 3, 2015
March 8, 2016
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Mean Weight
Average weight of subjects attending each of the first 8 weekly visits and the 10 monthly visits which followed, per study group.
Weekly/Monthly, up to 1 year
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.
12 months
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.
12 months
Study Arms (2)
Usual Care
NO INTERVENTIONUsual Care
Lifestyle Balance
ACTIVE COMPARATORBehavioral Weight Loss Program
Interventions
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
Eligibility Criteria
You may qualify if:
- 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
You may not qualify if:
- Have recently been diagnosed with schizophrenia (less than 1 year)
- Are pregnant or breast feeding a baby
- Have a medically unstable condition
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
VA Greater Los Angeles Healthcare System, West Los Angeles, CA
West Los Angeles, California, 90073, United States
Related Publications (3)
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.
PMID: 17978266BACKGROUNDErickson 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.
PMID: 26930534RESULTTully 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.
PMID: 32687629DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Limitations and Caveats
Limitations to our study were its single-site recruitment yielding subjects mostly male and all veterans, limiting of statistical power by control subjects allowed to join treatment group resulting in exclusion from data, and a high dropout rate.
Results Point of Contact
- Title
- Dr. Donna Ames, Principal Investigator
- Organization
- Psychiatry Department at VA Greater Los Angeles Healthcare System
Study Officials
- PRINCIPAL INVESTIGATOR
Donna Ames, MD
VA Greater Los Angeles Healthcare System, West Los Angeles, CA
Publication Agreements
- PI is Sponsor Employee
- Yes
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- CROSSOVER
- Sponsor Type
- FED
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 22, 2006
First Posted
June 26, 2006
Study Start
October 1, 2005
Primary Completion
September 1, 2009
Study Completion
September 1, 2009
Last Updated
April 6, 2016
Results First Posted
May 18, 2015
Record last verified: 2016-03