Relational Discord in Urban Primary Care: Prevalence Rates and Psychiatric Comorbidities

The current study primarily assesses uninsured, low-income patients (n = 125) in a primary care practice. Despite the knowledge that family relationships affect the management and outcomes of chronic illness, the rates of relational discord among primary care patients are unknown. Findings reveal th...

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Bibliographic Details
Published inJournal of health care for the poor and underserved Vol. 25; no. 2; pp. 913 - 929
Main Authors Woods, Sarah B, Priest, Jacob B, Fish, Jessica N, Rodriguez, José E, Denton, Wayne H
Format Journal Article
LanguageEnglish
Published United States Johns Hopkins University Press 01.05.2014
Subjects
Alcohol
Alcoholism - epidemiology
Anxiety
Anxiety - epidemiology
Anxiety - psychology
Anxiety-Depression
Cardiovascular disease
Chronic Disease - epidemiology
Chronic Disease - psychology
Chronic Disease - therapy
Comorbidity
Cross-Sectional Studies
Depression - epidemiology
Drinking behavior
Family
Family Conflict - psychology
Female
Florida - epidemiology
Humans
Latent class analysis
Low income people
Male
Medical research
Medical service
Mental Disorders - epidemiology
Mental Disorders - psychology
Mental Disorders - therapy
Middle Aged
Mortality
Patients
Population
Prevalence
Primary care
Primary health care
Primary Health Care - statistics & numerical data
Socioeconomic factors
Uninsured persons
Urban Population
Florida
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Summary:The current study primarily assesses uninsured, low-income patients (n = 125) in a primary care practice. Despite the knowledge that family relationships affect the management and outcomes of chronic illness, the rates of relational discord among primary care patients are unknown. Findings reveal that 54% of patients met criteria for problematic family functioning, while 40% of those in a romantic relationship reported relationship distress. In addition, 67% reported depression, 32% reported clinical levels of anxiety, and 33% at-risk alcohol use. Researchers used latent class analysis to explore characteristics of the sample, which revealed four classes. Comparisons with prior research with similar populations are made and implications for behavioral health providers working within primary care are discussed.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:1049-2089
1548-6869
1548-6869
DOI:10.1353/hpu.2014.0101