Estimating the prevalence of mental disorders in patients with newly diagnosed cancer in relation to socioeconomic status: a multi-center prospective observational study
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Abstract
Background
The purpose of this study was to provide the 4-week prevalence estimates of mental disorders in newly diagnosed cancer patients in relation to socioeconomic status (SES).
Patients and methods
We enrolled newly diagnosed patients with a confirmed solid tumor within 2 months of diagnosis. We calculated patients’ SES on the basis of their educational level, professional qualification, income and occupational status. We used the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition—Clinical Version (SCID-5-CV) to assess the 4-week prevalence of mental disorders in addition to a comorbidity questionnaire to assess the level of physical impairment.
Results
We identified a total of 1702 patients with mixed cancers after reviewing their medical records and contacting them in person or by post due to coronavirus pandemic patient safety restrictions. 1030 patients (53.2% men, mean age 60.2 years) had completed SCID-5-CV. When weighted according to the SES distribution to account for over- and under-sampling of SES groups, 20.9% [95% confidence interval (CI) 18.1% to 23.6%] of patients were diagnosed with any mental disorder. The most prevalent were depressive disorders (9.9%, 95% CI 7.9% to 11.9%), trauma and stress-related disorders (6.3%, 95% CI 4.7% to 7.9%) and anxiety disorders (4.2%, 95% CI 2.9% to 5.6%). We found no difference in any mental disorder between patients with high, medium or low SES. Multivariate logistic regression analyses revealed higher proportion of patients with any mental disorder in patients younger than 60 years [odds ratio (OR) 0.42; P < 0.001], in patients without a partner (OR 1.84; P < 0.001), in women with tumor in female genital organs (OR 2.45; P < 0.002) and in those with a higher level of impairment (OR 1.05, 95% CI 1.03-1.07; P < 0.001).
Conclusions
SES had no significant influence on mental comorbidity in early cancer survivorship.
The purpose of this study was to provide the 4-week prevalence estimates of mental disorders in newly diagnosed cancer patients in relation to socioeconomic status (SES).
Patients and methods
We enrolled newly diagnosed patients with a confirmed solid tumor within 2 months of diagnosis. We calculated patients’ SES on the basis of their educational level, professional qualification, income and occupational status. We used the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition—Clinical Version (SCID-5-CV) to assess the 4-week prevalence of mental disorders in addition to a comorbidity questionnaire to assess the level of physical impairment.
Results
We identified a total of 1702 patients with mixed cancers after reviewing their medical records and contacting them in person or by post due to coronavirus pandemic patient safety restrictions. 1030 patients (53.2% men, mean age 60.2 years) had completed SCID-5-CV. When weighted according to the SES distribution to account for over- and under-sampling of SES groups, 20.9% [95% confidence interval (CI) 18.1% to 23.6%] of patients were diagnosed with any mental disorder. The most prevalent were depressive disorders (9.9%, 95% CI 7.9% to 11.9%), trauma and stress-related disorders (6.3%, 95% CI 4.7% to 7.9%) and anxiety disorders (4.2%, 95% CI 2.9% to 5.6%). We found no difference in any mental disorder between patients with high, medium or low SES. Multivariate logistic regression analyses revealed higher proportion of patients with any mental disorder in patients younger than 60 years [odds ratio (OR) 0.42; P < 0.001], in patients without a partner (OR 1.84; P < 0.001), in women with tumor in female genital organs (OR 2.45; P < 0.002) and in those with a higher level of impairment (OR 1.05, 95% CI 1.03-1.07; P < 0.001).
Conclusions
SES had no significant influence on mental comorbidity in early cancer survivorship.
Bibliographical data
| Original language | English |
|---|---|
| Article number | 103655 |
| ISSN | 2059-7029 |
| DOIs | |
| Publication status | Published - 08.2024 |
