Indicators of Co-occurrence of Mood Disorder with Chronic Medical Conditions: Evidence from an Administrative Claims Data Analysis

Author:

Chhabria KarishmaORCID,Krause Trudy MillardORCID,Hamden RandaORCID,Jabbi MbembaORCID

Abstract

ABSTRACTObjectiveMood disorder (including major depression and bipolar disorder) prevalence is over 10% and accounts for a significant share of global disease burden. Mental and physical illness are related, however, the association between mood disorders and acute/chronic disease subclasses remains poorly understood.MethodsThis observational cross-sectional study used administrative claims data from 6,709,258 adult enrollees with a full-year enrollment in the 2018 OPTUM Clinformatics® database. Data of enrollees with/without diagnoses of a mood disorder co-occurring with chronic comorbid conditions (defined by the Elixhauser Comorbidity Index) using the International Classification of Diseases (ICD-10) were analyzed by accounting for age, race, and ethnicity.ResultsOverall, the sample was predominantly non-Hispanic Caucasians (64.56%), with 48.59% females and a mean age of 43.54 years±12.46 years. The prevalence of mood disorders was 3.71% (248,890), of which 0.61% (n=40,616) had bipolar disorders and 3.10% (n=208,274) had Major Depressive Disorder (MDD). Logistic regression odds ratios revealed a strong association between mood disorder diagnoses and peptic ulcers (2.11; CI=2.01-2.21), weight loss (2.53; CI, 2.46-2.61), renal failure (2.37, CI = 2.31-2.42), peripheral vascular disease (2.24; CI=2.19-2.30), and pulmonary circulation disorder (1.77; CI=1.70-1.84).ConclusionsOverall, mood disorders were associated with vascular and cardiac chronic medical conditions, suggesting a possible pathophysiological link between these conditions. The results highlight the importance of understanding the prevalence of co-occurring mood and medical conditions and may inform novel biological diagnostics and future identification of mechanisms for multimorbidity.

Publisher

Cold Spring Harbor Laboratory

全球学者库

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3