Chronic Stress, Immune Suppression, and Cancer Occurrence: Unveiling the Connection using Survey Data and Predictive Models

Fuente: arXiv
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Main Authors: Lazebnik, Teddy, Aharonson, Vered
Format: Preprint
Published: 2025
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author Lazebnik, Teddy
Aharonson, Vered
author_facet Lazebnik, Teddy
Aharonson, Vered
contents Chronic stress was implicated in cancer occurrence, but a direct causal connection has not been consistently established. Machine learning and causal modeling offer opportunities to explore complex causal interactions between psychological chronic stress and cancer occurrences. We developed predictive models employing variables from stress indicators, cancer history, and demographic data from self-reported surveys, unveiling the direct and immune suppression mitigated connection between chronic stress and cancer occurrence. The models were corroborated by traditional statistical methods. Our findings indicated significant causal correlations between stress frequency, stress level and perceived health impact, and cancer incidence. Although stress alone showed limited predictive power, integrating socio-demographic and familial cancer history data significantly enhanced model accuracy. These results highlight the multidimensional nature of cancer risk, with stress emerging as a notable factor alongside genetic predisposition. These findings strengthen the case for addressing chronic stress as a modifiable cancer risk factor, supporting its integration into personalized prevention strategies and public health interventions to reduce cancer incidence.
format Preprint
id arxiv_https___arxiv_org_abs_2509_22275
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Chronic Stress, Immune Suppression, and Cancer Occurrence: Unveiling the Connection using Survey Data and Predictive Models
Lazebnik, Teddy
Aharonson, Vered
Applications
Computers and Society
Information Retrieval
Chronic stress was implicated in cancer occurrence, but a direct causal connection has not been consistently established. Machine learning and causal modeling offer opportunities to explore complex causal interactions between psychological chronic stress and cancer occurrences. We developed predictive models employing variables from stress indicators, cancer history, and demographic data from self-reported surveys, unveiling the direct and immune suppression mitigated connection between chronic stress and cancer occurrence. The models were corroborated by traditional statistical methods. Our findings indicated significant causal correlations between stress frequency, stress level and perceived health impact, and cancer incidence. Although stress alone showed limited predictive power, integrating socio-demographic and familial cancer history data significantly enhanced model accuracy. These results highlight the multidimensional nature of cancer risk, with stress emerging as a notable factor alongside genetic predisposition. These findings strengthen the case for addressing chronic stress as a modifiable cancer risk factor, supporting its integration into personalized prevention strategies and public health interventions to reduce cancer incidence.
title Chronic Stress, Immune Suppression, and Cancer Occurrence: Unveiling the Connection using Survey Data and Predictive Models
topic Applications
Computers and Society
Information Retrieval
url https://arxiv.org/abs/2509.22275