Anxiety, Depression, and Colorectal Cancer Survival: Results from Two Prospective Cohorts.
Claudia Trudel-FitzgeraldShelley T TworogerXuehong ZhangEdward L GiovannucciJeffrey A MeyerhardtLaura D KubzanskyPublished in: Journal of clinical medicine (2020)
Given the unalterable nature of most risk factors for colorectal cancer (CRC) survival (e.g., disease stage), identifying modifiable determinants is critical. We investigated whether anxiety and depression were related to CRC survival using data from the Nurses' Health Study (NHS) and Health Professional Follow-up Study (HPFS). Participants who received a CRC diagnosis and provided information about anxiety (nNHS = 335; nHPFS = 232) and depression (nNHS = 893; nHPFS = 272) within 4 years of diagnosis were included. Cox regression models estimated hazard ratios (HR) and 95% confidence intervals (CI) of overall mortality, while controlling for covariates (sociodemographics, cancer characteristics, and lifestyle factors). Pooled risk estimates were derived from fixed effects meta-analyses of the cohorts. Among 1732 CRC patients, 814 deaths occurred during the 28-year follow-up. Each 1 standard deviation increase in anxiety or depression symptoms was associated with a similar 16% higher mortality risk (anxiety: 95% CI = 1.05-1.29; depression: 95% CI = 1.07-1.26). Comparable results were observed across all sensitivity analyses (introducing a 1-year lag, restricting to CRC-related mortality, considering potential behavioral pathways) and stratified models (cancer stage, sex). Our findings suggest greater anxiety and depression symptoms can not only impede adherence to healthy habits and reduce quality of life in cancer patients but could also be a marker for accelerated CRC progression.
Keyphrases
- sleep quality
- depressive symptoms
- healthcare
- physical activity
- papillary thyroid
- mental health
- public health
- meta analyses
- systematic review
- end stage renal disease
- health information
- squamous cell
- cardiovascular events
- cardiovascular disease
- metabolic syndrome
- randomized controlled trial
- human health
- chronic kidney disease
- mass spectrometry
- machine learning
- coronary artery disease
- adipose tissue
- big data
- childhood cancer
- peritoneal dialysis
- patient reported outcomes
- social media