Classification of high-risk depressed mood groups in cancer patients based on Health Ecology Model

ElsevierVolume 347, 15 February 2024, Pages 327-334Journal of Affective DisordersAuthor links open overlay panel, , , , , , , , , , Highlights•

52.96 % of cancer patients met criteria for depressed mood based on the CES-D.

Health Ecology Model can analyze the influencing factors in different dimensions.

Harvard Cancer Index works well in classifying the high-risk groups of depressed mood.

AbstractBackground

Depressed mood affects a significant number of patients with cancer, and can impair their quality of life and interfere with successful treatment. Our study aims to create a predictive model for identifying high-risk groups of depressed mood in cancer patients, offering a theoretical support for preventing depressed mood in these individuals.

Methods

The China Health and Retirement Longitudinal Study (CHARLS) provided the data for this research, which used CES-D as a tool to identify individuals with depressed mood. Influencing factors of depressed mood in cancer patients was analyzed using a binary logistic regression model. Using the Harvard Cancer Index, we classified the high-risk patients for depressed mood.

Results

In present study, 52.96 % of cancer patients met criteria for depressed mood based on the CES-D. Significant correlations were found between depressed mood and factors such as gender, self-rated health, sleep duration, exercise, satisfaction with family, residence, education, life satisfaction, and medical insurance. Utilizing the Harvard Cancer Index, we classified patients into five risk levels for depressed mood, revealing a significant variation in the number of depressive patients across these levels (x2=99.82, P < 0.05). Notably, the incidence of depressed mood increased with the risk level among cancer patients (x2=103.40, P < 0.05).

Limitations

Lack of data on tumor typing and subgroups makes it unlikely to explore the specifics of depressed mood in patients with various types of cancer.

Conclusion

The determinants of depressed mood in cancer patients are multi-dimensional. The Harvard Cancer Index may be helpful in identifying high-risk populations.

Keywords

Cancer

Depressed mood

Influencing factors

Health Ecology Model

High-risk groups

Harvard Cancer Index

© 2023 The Authors. Published by Elsevier B.V.

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