PTSD Treatment: Effects on Health Behavior, Cardiovascular and Metabolic Disease
PTSD 治疗:对健康行为、心血管和代谢疾病的影响
基本信息
- 批准号:9265123
- 负责人:
- 金额:$ 69.12万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-05-01 至 2020-03-31
- 项目状态:已结题
- 来源:
- 关键词:AdoptionAffectAfghanistanAgeAlcohol abuseAlcoholsAmericanArteriosclerosisBehaviorBehavior TherapyBody Weight decreasedCardiovascular Diagnostic TechniquesCardiovascular DiseasesCharacteristicsClinicClinical Practice GuidelineComorbidityCox Proportional Hazards ModelsDataData SourcesDatabasesDiagnosisDisease remissionDrug abuseDrug usageDyslipidemiasEnrollmentEvidence based treatmentHealthHealth PromotionHealth behaviorHealth behavior changeHealthcareHeavy DrinkingHypertensionIncidenceIndividualIraqLifeLinkMeasuresMedicalMedical RecordsMental HealthMental disordersMetabolicMetabolic DiseasesModelingModificationMorbidity - disease rateMyocardial InfarctionNon-Insulin-Dependent Diabetes MellitusObesityPathway interactionsPatient MonitoringPatient Self-ReportPatientsPersonsPopulationPost-Traumatic Stress DisordersPrevention strategyPreventive carePrivate SectorProbabilityPsychiatric DiagnosisRecordsRecoveryResearchResourcesRetrospective cohortRiskRisk FactorsSiteSmokeSmokingSourceStressSymptomsTestingTimeTrainingUnited StatesUnited States Department of Veterans AffairsVeteransWeightWeight maintenance regimenWomancardiovascular disorder riskcardiovascular risk factorclinically relevantcohortcost efficientdemographicsdesigndisease diagnosisdisorder riskevidence baseexperienceimprovedmedication compliancemenmortalitynutritionphysical inactivitypredictive modelingprematureprogramspublic health relevancereduce symptomssedentary lifestylesmoking cessationsymptom treatmenttreatment effecttreatment programunhealthy lifestyle
项目摘要
DESCRIPTION (provided by applicant): The objective of this study is to determine if evidence based treatment (EBT) for posttraumatic stress disorder (PTSD) leads to reduced risk of cardiovascular and metabolic disease (CMD) through adoption of healthy behaviors. PTSD affects approximately 7.7 million of Americans each year and is the 4th most common psychiatric disorder in the United States. One reason persons with PTSD develop CMD is poor health behaviors such as smoking, excessive drinking and sedentary lifestyle. Many patients will suffer premature morbidity and mortality unless we identify the mechanisms that mitigate the link between PTSD, poor health behavior and CMD. This 4-year R01 uses a cost efficient approach to investigate these issues by leveraging real-world clinic data from 4 sites in the Veterans Administration in which EBT is delivered with high fidelity, paired with repeat assessment of PTSD symptoms and merged with comprehensive medical records. We are not aware of similar multi-site sources of real world EBT clinic data in the private sector. EBT treatment data will be abstracted and merged with national medical record files resulting in a unique data base of 5,940 patients who engaged in EBT with about 40% completing treatment and 5,940 controls without PTSD. These data will allow us to determine, in Aim 1, if patients with PTSD, compared to controls, are less likely to engage in healthy behavior. In Aim 2, we determine if PTSD symptom reduction is associated with improved health behavior such as medication adherence, weight management and preventive care. In Aim 3 we determine if health behaviors moderate the contribution of PTSD symptom reduction to the risk of diagnosed CMD. In aim 4 we determine if a diagnosis of PTSD remains a risk factor for CMD even in patients who have symptom remission and improved health behavior. Last, in Aim 5, we derive a parsimonious predictive model of PTSD and incident CMD. Using propensity scores and inverse probability of treatment weighting, results from Cox proportional hazard models will disentangle the patient level factors, e.g. orientation toward health, associated with seeking and completing treatment from symptom reduction. This allows determining the independent contribution of PTSD symptom reduction and health behaviors. We believe the findings from our study will have important implications for clinical practice, guideline modifications, and the allocation of healthcare resources for all people with PTSD. If health behavior improves via PTSD symptom reduction, then clinicians should be trained to encourage health promotion during EBT. If patients remain at risk for CMD despite improved mental health and improved health behaviors, then life-long intensive monitoring of patients with PTSD is warranted to detect early signs of CMD.
描述(由申请人提供):本研究的目的是确定创伤后应激障碍(PTSD)的循证治疗(EBT)是否可以通过采取健康的行为来降低心血管和代谢疾病(CMD)的风险。创伤后应激障碍 (PTSD) 每年影响约 770 万美国人,是美国第四大常见精神疾病。患有创伤后应激障碍 (PTSD) 的人患上 CMD 的原因之一是不良的健康行为,如吸烟、过量饮酒和久坐的生活方式。除非我们找到减轻 PTSD、不良健康行为和 CMD 之间联系的机制,否则许多患者将过早发病和死亡。这项为期 4 年的 R01 采用经济高效的方法来调查这些问题,利用来自退伍军人管理局 4 个站点的真实临床数据,其中以高保真度提供 EBT,配合对 PTSD 症状的重复评估,并与全面的医疗记录合并。我们不知道私营部门是否有类似的真实世界 EBT 诊所数据的多站点来源。 EBT 治疗数据将被提取并与国家医疗记录文件合并,形成一个包含 5,940 名接受 EBT 的患者的独特数据库,其中约 40% 完成治疗,以及 5,940 名没有 PTSD 的对照患者。在目标 1 中,这些数据将使我们能够确定,与对照组相比,PTSD 患者是否不太可能采取健康行为。在目标 2 中,我们确定 PTSD 症状的减轻是否与健康行为的改善相关,例如药物依从性、体重管理和预防性护理。在目标 3 中,我们确定健康行为是否会调节 PTSD 症状减少对诊断 CMD 风险的影响。在目标 4 中,我们确定即使在症状缓解且健康行为改善的患者中,PTSD 的诊断是否仍然是 CMD 的危险因素。最后,在目标 5 中,我们推导出 PTSD 和事件 CMD 的简约预测模型。使用倾向评分和治疗权重的逆概率,Cox 比例风险模型的结果将理清患者水平因素,例如健康导向,与寻求并完成减轻症状的治疗有关。这可以确定 PTSD 症状减轻和健康行为的独立贡献。我们相信,我们的研究结果将对临床实践、指南修改以及所有 PTSD 患者的医疗资源分配产生重要影响。如果通过减少 PTSD 症状来改善健康行为,那么临床医生应该接受培训,鼓励在 EBT 期间促进健康。如果患者尽管心理健康和健康行为有所改善,但仍面临 CMD 风险,那么有必要对 PTSD 患者进行终生强化监测,以发现 CMD 的早期症状。
项目成果
期刊论文数量(0)
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Jeffrey F. Scherrer其他文献
Self-Reported Lifetime Depression and Current Mental Distress Among Veterans Across Service Eras.
各服役时期退伍军人自我报告的终生抑郁症和当前精神困扰。
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:1.2
- 作者:
E. Boakye;P. Buchanan;Jing Wang;L. Stringer;Christian Geneus;Jeffrey F. Scherrer - 通讯作者:
Jeffrey F. Scherrer
Is obesity associated with odds of prescription opioid use independent of depression?
肥胖与处方阿片类药物使用的几率相关,与抑郁无关吗?
- DOI:
10.1097/j.pain.0000000000002105 - 发表时间:
2021 - 期刊:
- 影响因子:7.4
- 作者:
Jeffrey F. Scherrer;M. Sullivan - 通讯作者:
M. Sullivan
Endothelin-C-terminal hexapeptide increases grooming in mice
内皮素 C 末端六肽可增强小鼠的梳理行为
- DOI:
10.1016/0091-3057(94)90216-x - 发表时间:
1994 - 期刊:
- 影响因子:3.6
- 作者:
Jeffrey F. Scherrer;J. Morley;J. Flood - 通讯作者:
J. Flood
Response and Rebuttal to Editorial Comment Regarding "Sexual Dysfunction in Primary Care: An Exploratory Descriptive Analysis of Medical Record Diagnoses".
对有关“初级保健中的性功能障碍:病历诊断的探索性描述性分析”的编辑评论的回应和反驳。
- DOI:
10.1016/j.jsxm.2017.11.011 - 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
K. Heiden;J. Salas;S. Gebauer;M. Witthaus;Jeffrey F. Scherrer;Kristin McDaniel;D. Carver - 通讯作者:
D. Carver
Achievement of glycemic control and antidepressant medication use in comorbid depression and type 2 diabetes.
共病抑郁症和 2 型糖尿病的血糖控制和抗抑郁药物使用的成就。
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:6.6
- 作者:
Jay A Brieler;J. Salas;Elizabeth Keegan;Jeffrey F. Scherrer - 通讯作者:
Jeffrey F. Scherrer
Jeffrey F. Scherrer的其他文献
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{{ truncateString('Jeffrey F. Scherrer', 18)}}的其他基金
Clinically Meaningful PTSD Improvement: Reducing Risk for Adverse Outcomes in Comorbid Cardiometabolic Disease
具有临床意义的 PTSD 改善:降低共病心脏代谢疾病不良后果的风险
- 批准号:
10510354 - 财政年份:2022
- 资助金额:
$ 69.12万 - 项目类别:
Clinically Meaningful PTSD Improvement: Reducing Risk for Adverse Outcomes in Comorbid Cardiometabolic Disease
具有临床意义的 PTSD 改善:降低共病心脏代谢疾病不良后果的风险
- 批准号:
10683312 - 财政年份:2022
- 资助金额:
$ 69.12万 - 项目类别:
Pathways from Chronic Prescription Opioid Use to New Onset Mood Disorder
从长期处方阿片类药物使用到新发情绪障碍的途径
- 批准号:
10348114 - 财政年份:2019
- 资助金额:
$ 69.12万 - 项目类别:
Pathways from Chronic Prescription Opioid Use to New Onset Mood Disorder
从长期处方阿片类药物使用到新发情绪障碍的途径
- 批准号:
9908067 - 财政年份:2019
- 资助金额:
$ 69.12万 - 项目类别:
Pathways from Chronic Prescription Opioid Use to New Onset Mood Disorder
从长期处方阿片类药物使用到新发情绪障碍的途径
- 批准号:
10553647 - 财政年份:2019
- 资助金额:
$ 69.12万 - 项目类别:
A Big Data Research Study on the Relationship Between Metformin Use and Dementia
二甲双胍使用与痴呆症关系的大数据研究
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9289078 - 财政年份:2017
- 资助金额:
$ 69.12万 - 项目类别:
Prescription Opioid Analgesics and Risk of Major Depression
处方阿片类镇痛药与重度抑郁症的风险
- 批准号:
8700918 - 财政年份:2014
- 资助金额:
$ 69.12万 - 项目类别:
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