Management of Antipsychotic Medication Associated Obesity - 2

抗精神病药物相关肥胖的管理 - 2

基本信息

项目摘要

DESCRIPTION (provided by applicant): Project Summary/Abstract: Introduction: Obesity and its related conditions such as diabetes and heart disease are unfortunate side effects of the medications used to treat veterans with severe mental illness. In combination, obesity and severe mental illness pose a huge public health problem. The FDA and the VA inspector general are concerned about the monitoring and safety of severely mentally ill patients taking antipsychotic medications. This research is designed to test a multi-modal approach to the problem of antipsychotic medication associated obesity over a 12-month period at 4 different VA settings. Though the MOVE program has been developed to combat obesity in the general VA population, there exists a large portion of patients with severe mental illness who cannot or will not access MOVE. This program is designed to fill the gap that usual care does not provide. This study will test this special intervention for severely mentally ill patients taking antipsychotic medications and comparing this intervention to usual care at 4 VA sites. Methods: 120 veterans from four different VA sites will be randomly assigned to either a 12 month multi-modal behavioral treatment program vs. usual care for the monitoring and treatment of medication associated obesity. The multi modal treatment approach, the Lifestyle Balance Program adopted from the federally funded Diabetes Prevention Program, is aimed at changing lifestyles and includes individual health coaching, and group classes weekly for the first 8 weeks, as well as a prescribed individualized plan for exercise and dietary changes that will result in weight loss. Additionally, counseling with caregivers on support of lifestyle changes will be provided and meal substitution will be implemented for veterans who have no control over food provided to them in institutional type settings (e.g. board and care homes). Following the initial 8 weeks, individual coaching and group booster classes will occur for the next 10 months on a monthly basis. This study will also test the ability of other VA sites to adopt a weight loss program for this particular population. Preliminary Results: This is a continuation of an ongoing program in which 120 veterans have already participated. Thus far, our preliminary results have been promising. We have observed twice the weight loss that we anticipated in the initial grant period over a year long weight loss program. We have seen improvements in certain symptoms of mental illness, as veterans appear to be more outgoing and less withdrawn. We also have seen a positive impact on veterans' well being and the quality of their lives. Additionally we have achieved with weight loss an improvement in risk factors for heart disease. This prolongs the lives of veterans with severe mental illness and translates into cost savings for veterans, their families, and society in general. This new study will determine if the success at our one site can be achieved at three additional sites.
描述(由申请人提供): 项目摘要/摘要:简介:肥胖及其相关状况(例如糖尿病和心脏病)是用于治疗患有严重精神疾病的退伍军人的药物的不幸副作用。结合起来,肥胖和严重的精神疾病构成了一个巨大的公共卫生问题。 FDA和VA监察长担心服用抗精神病药的严重患者的监测和安全性。这项研究旨在测试一种多模式方法,以解决在4个不同的VA环境中的12个月内抗精神病药物相关肥胖的问题。尽管已制定了该行动计划来打击普通VA人口中的肥胖症,但仍有大部分精神疾病患者无法获得或将无法移动。该程序旨在填补通常的护理所没有提供的空白。这项研究将测试这种特殊的干预措施,以针对服用抗精神病药物的严重患者,并将这种干预措施与4 VA部位的常规护理进行比较。方法:来自四个不同VA站点的120名退伍军人将被随机分配给12个月的多模式行为治疗计划,而对药物相关的肥胖症的监测和治疗通常。多模态治疗方法,即联邦资助的糖尿病预防计划采用的生活方式平衡计划,旨在改变生活方式,包括个人健康教练,每周在头8周内每周进行小组班,以及一项规定的个性化运动计划和饮食变化,这将导致体重减轻。此外,将向护理人员提供有关改变生活方式改变的咨询,并将针对无法控制在机构类型环境中提供给他们的食物的退伍军人(例如董事会和养老院)。在最初的8周之后,将在接下来的10个月内每月进行个人教练和小组助推课。这项研究还将测试其他VA站点对该特定人群采用减肥计划的能力。初步结果:这是一个正在进行的计划的延续,其中120名退伍军人已经参加了该计划。到目前为止,我们的初步结果一直很有希望。我们已经观察到了我们在一年长的减肥计划中预期的重量损失的两倍。我们已经看到了精神疾病的某些症状的改善,因为退伍军人似乎更外向,而撤离更少。我们还看到了对退伍军人的健康和生活质量的积极影响。此外,我们已经通过减肥来改善心脏病的危险因素。这延长了严重精神疾病的退伍军人的生命,并为退伍军人,他们的家庭和整个社会节省了成本。这项新的研究将确定在我们一个站点的成功是否可以在其他三个站点上取得成功。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Impact of a 10 minute Seated Yoga Practice in the Management of Diabetes.
  • DOI:
    10.4172/2157-7595.1000224
  • 发表时间:
    2016-01
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Rashmi Mullur;D. Ames
  • 通讯作者:
    Rashmi Mullur;D. Ames
共 1 条
  • 1
前往

DONNA Ames AMES的其他基金

Management of Antipsychotic Medication Associated Obesity - 2
抗精神病药物相关肥胖的管理 - 2
  • 批准号:
    8838090
    8838090
  • 财政年份:
    2010
  • 资助金额:
    --
    --
  • 项目类别:
Management of Antipsychotic Medication Associated Obesity - 2
抗精神病药物相关肥胖的管理 - 2
  • 批准号:
    8256525
    8256525
  • 财政年份:
    2010
  • 资助金额:
    --
    --
  • 项目类别:
Management of Antipsychotic Medication Associated Obesity - 2
抗精神病药物相关肥胖的管理 - 2
  • 批准号:
    7862073
    7862073
  • 财政年份:
    2010
  • 资助金额:
    --
    --
  • 项目类别:

相似国自然基金

坚持还是转型?反馈驱动的创业者机会信念认知更新及响应决策机理
  • 批准号:
  • 批准年份:
    2022
  • 资助金额:
    45 万元
  • 项目类别:
    面上项目
坚持还是转型?反馈驱动的创业者机会信念认知更新及响应决策机理
  • 批准号:
    72272131
  • 批准年份:
    2022
  • 资助金额:
    45.00 万元
  • 项目类别:
    面上项目
不确定性下创业团队能量和抗逆力对创业坚持的权变影响研究
  • 批准号:
    72162025
  • 批准年份:
    2021
  • 资助金额:
    29 万元
  • 项目类别:
    地区科学基金项目
创造性思维中灵活性和坚持性动态交互的神经基础
  • 批准号:
  • 批准年份:
    2021
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
创造性思维中灵活性和坚持性动态交互的神经基础
  • 批准号:
    32100850
  • 批准年份:
    2021
  • 资助金额:
    24.00 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

Applying Population Management Best Practices to Preventive Genomic Medicine
将人口管理最佳实践应用于预防性基因组医学
  • 批准号:
    10674202
    10674202
  • 财政年份:
    2023
  • 资助金额:
    --
    --
  • 项目类别:
Applying Computational Phenotypes To Assess Mental Health Disorders Among Transgender Patients in the United States
应用计算表型评估美国跨性别患者的心理健康障碍
  • 批准号:
    10604723
    10604723
  • 财政年份:
    2023
  • 资助金额:
    --
    --
  • 项目类别:
Pharmacy-led Transitions of Care Intervention to Address System-Level Barriers and Improve Medication Adherence in Socioeconomically Disadvantaged Populations
药房主导的护理干预转型,以解决系统层面的障碍并提高社会经济弱势群体的药物依从性
  • 批准号:
    10594350
    10594350
  • 财政年份:
    2023
  • 资助金额:
    --
    --
  • 项目类别:
Development of a Video-based Personal Protective Equipment Monitoring System
基于视频的个人防护装备监控系统的开发
  • 批准号:
    10585548
    10585548
  • 财政年份:
    2023
  • 资助金额:
    --
    --
  • 项目类别:
Applying Deep Learning for Predicting Retention in PrEP Care and Effective PrEP Use among Key Populations at Risk for HIV in Thailand
应用深度学习预测泰国主要艾滋病毒高危人群中 PrEP 护理的保留情况以及 PrEP 的有效使用
  • 批准号:
    10619943
    10619943
  • 财政年份:
    2023
  • 资助金额:
    --
    --
  • 项目类别: