The mediating role of health behaviors in the association between depression, anxiety and cancer incidence: an individual participant data meta-analysis.

BACKGROUND: Although behavioral mechanisms in the association among depression, anxiety, and cancer are plausible, few studies have empirically studied mediation by health behaviors. We aimed to examine the mediating role of several health behaviors in the associations among depression, anxiety, and the incidence of various cancer types (overall, breast, prostate, lung, colorectal, smoking-related, and alcohol-related cancers). METHODS: Two-stage individual participant data meta-analyses were performed based on 18 cohorts within the Psychosocial Factors and Cancer Incidence consortium that had a measure of depression or anxiety (N = 319 613, cancer incidence = 25 803). Health behaviors included smoking, physical inactivity, alcohol use, body mass index (BMI), sedentary behavior, and sleep duration and quality. In stage one, path-specific regression estimates were obtained in each cohort. In stage two, cohort-specific estimates were pooled using random-effects multivariate meta-analysis, and natural indirect effects (i.e. mediating effects) were calculated as hazard ratios (HRs). RESULTS: Smoking (HRs range 1.04-1.10) and physical inactivity (HRs range 1.01-1.02) significantly mediated the associations among depression, anxiety, and lung cancer. Smoking was also a mediator for smoking-related cancers (HRs range 1.03-1.06). There was mediation by health behaviors, especially smoking, physical inactivity, alcohol use, and a higher BMI, in the associations among depression, anxiety, and overall cancer or other types of cancer, but effects were small (HRs generally below 1.01). CONCLUSIONS: Smoking constitutes a mediating pathway linking depression and anxiety to lung cancer and smoking-related cancers. Our findings underline the importance of smoking cessation interventions for persons with depression or anxiety.

Psychosocial factors, health behaviors and risk of cancer incidence: Testing interaction and effect modification in an individual participant data meta-analysis.

Depression, anxiety and other psychosocial factors are hypothesized to be involved in cancer development. We examined whether psychosocial factors interact with or modify the effects of health behaviors, such as smoking and alcohol use, in relation to cancer incidence. Two-stage individual participant data meta-analyses were performed based on 22 cohorts of the PSYchosocial factors and CAncer (PSY-CA) study. We examined nine psychosocial factors (depression diagnosis, depression symptoms, anxiety diagnosis, anxiety symptoms, perceived social support, loss events, general distress, neuroticism, relationship status), seven health behaviors/behavior-related factors (smoking, alcohol use, physical activity, body mass index, sedentary behavior, sleep quality, sleep duration) and seven cancer outcomes (overall cancer, smoking-related, alcohol-related, breast, lung, prostate, colorectal). Effects of the psychosocial factor, health behavior and their product term on cancer incidence were estimated using Cox regression. We pooled cohort-specific estimates using multivariate random-effects meta-analyses. Additive and multiplicative interaction/effect modification was examined. This study involved 437,827 participants, 36,961 incident cancer diagnoses, and 4,749,481 person years of follow-up. Out of 744 combinations of psychosocial factors, health behaviors, and cancer outcomes, we found no evidence of interaction. Effect modification was found for some combinations, but there were no clear patterns for any particular factors or outcomes involved. In this first large study to systematically examine potential interaction and effect modification, we found no evidence for psychosocial factors to interact with or modify health behaviors in relation to cancer incidence. The behavioral risk profile for cancer incidence is similar in people with and without psychosocial stress.

Evidence that ovarian hormones, but not diet and exercise, contribute to the sex disparity in post-traumatic stress disorder.

Females are twice as likely as males to receive a diagnosis of post-traumatic stress disorder (PTSD). One hypothesis for this sex disparity is that ovarian hormones, including estrogen and progesterone, contribute to PTSD risk. Alternatively, sex differences in lifestyle factors, such as diet and exercise, may play a role in PTSD risk. Using data from the Atlantic Partnership for Tomorrow's Health (PATH) cohort (n = 16,899), the relationship between endogenous hormone fluctuations (e.g., menarche, pregnancy, and menopause), exogenous hormone use (e.g., hormonal contraception and hormone replacement therapy (HRT)) and lifestyle variables (diet and exercise habits, as measured by the Mediterranean Diet Adherence Screener, Healthy Eating Index, and International Physical Activity Questionnaire) with PTSD diagnosis and treatment were analyzed. While several hormonal variables, including contraceptive use, higher total number of pregnancies, younger menarche age, and having undergone menopause increased the risk of PTSD, no lifestyle variables contributed to an increased risk of PTSD diagnosis. These findings support the theory that ovarian hormones contribute to the sex-linked disparity in PTSD diagnosis.

Depression, anxiety, and the risk of cancer: An individual participant data meta-analysis.

BACKGROUND: Depression and anxiety have long been hypothesized to be related to an increased cancer risk. Despite the great amount of research that has been conducted, findings are inconclusive. To provide a stronger basis for addressing the associations between depression, anxiety, and the incidence of various cancer types (overall, breast, lung, prostate, colorectal, alcohol-related, and smoking-related cancers), individual participant data (IPD) meta-analyses were performed within the Psychosocial Factors and Cancer Incidence (PSY-CA) consortium. METHODS: The PSY-CA consortium includes data from 18 cohorts with measures of depression or anxiety (up to N = 319,613; cancer incidences, 25,803; person-years of follow-up, 3,254,714). Both symptoms and a diagnosis of depression and anxiety were examined as predictors of future cancer risk. Two-stage IPD meta-analyses were run, first by using Cox regression models in each cohort (stage 1), and then by aggregating the results in random-effects meta-analyses (stage 2). RESULTS: No associations were found between depression or anxiety and overall, breast, prostate, colorectal, and alcohol-related cancers. Depression and anxiety (symptoms and diagnoses) were associated with the incidence of lung cancer and smoking-related cancers (hazard ratios [HRs], 1.06-1.60). However, these associations were substantially attenuated when additionally adjusting for known risk factors including smoking, alcohol use, and body mass index (HRs, 1.04-1.23). CONCLUSIONS: Depression and anxiety are not related to increased risk for most cancer outcomes, except for lung and smoking-related cancers. This study shows that key covariates are likely to explain the relationship between depression, anxiety, and lung and smoking-related cancers. PREREGISTRATION NUMBER: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=157677.

Toenail arsenic species and metallome profiles associated with breast, cervical, prostate, and skin cancer prevalence in the Atlantic Partnership for Tomorrow's Health cohort.

Introduction: Chronic exposure to arsenic through drinking water has been linked to several cancers. The metabolism of arsenic is thought to play a key role in arsenic-related carcinogenesis as metabolites of varying toxicity are produced and either stored in or excreted from the body. Atlantic Canada has the highest age-standardized incidence rates of all cancers in the country. This may be due to its high levels of environmental arsenic and the prevalence of unregulated private wells for water consumption. Here, we aimed to characterize the profiles of arsenic species and metallome in the toenails of four cancer groups, compare them to healthy participants (N = 338), and assess potential associations between the profiles with cancer prevalence. Methods: This study employed a case-control design. Toenail samples and questionnaire data from cases (breast, cervical, prostate, and skin cancers) and controls were sourced from the Atlantic Partnership for Tomorrow's Health (PATH) cohort study. The levels of arsenic species were measured using Inductively Coupled Plasma-Mass Spectrometry (ICP-MS) paired with High Performance Liquid Chromatography (HPLC) and total concentrations of metallome (23 metals) were determined by ICP-MS separately. Multivariate analyses were conducted to compare cases with controls within each cancer group. Results: Arsenic speciation profiles varied by cancer type and were significantly different between cases and controls in the breast (p = 0.0330), cervical (p = 0.0228), and skin (p = 0.0228) cancer groups. In addition, the profiles of metallome (nine metals) were significantly differentiated in the prostate (p = 0.0244) and skin (p = 0.0321) cancer groups, with higher zinc concentrations among cases compared to controls. Conclusion: History of cancer diagnosis was associated with specific profiles of arsenic species and metallome. Our results indicate that arsenic methylation and zinc levels, as measured in toenails, may be an important biomarker for cancer prevalence. Further research is needed to use toenails as a prognostic measure of arsenic-and other metal-induced cancer.

Use of Wearable Activity-Monitoring Technologies to Promote Physical Activity in Cancer Survivors: Challenges and Opportunities for Improved Cancer Care.

The aim of this review was to explore the acceptability, opportunities, and challenges associated with wearable activity-monitoring technology to increase physical activity (PA) behavior in cancer survivors. A search of Medline, Embase, CINAHL, and SportDiscus was conducted from 1 January 2011 through 3 October 2022. The search was limited to English language, and peer-reviewed original research. Studies were included if they reported the use of an activity monitor in adults (+18 years) with a history of cancer with the intent to motivate PA behavior. Our search identified 1832 published articles, of which 28 met inclusion/exclusion criteria. Eighteen of these studies included post-treatment cancer survivors, eight were on active cancer treatment, and two were long-term cancer survivor studies. ActiGraph accelerometers were the primary technology used to monitor PA behaviors, with Fitbit as the most commonly utilized self-monitoring wearable technology. Overall, wearable activity monitors were found to be an acceptable and useful tool in improving self-awareness, motivating behavioral change, and increasing PA levels. Self-monitoring wearable activity devices have a positive impact on short-term PA behaviors in cancer survivors, but the increase in PA gradually attenuated through the maintenance phase. Further study is needed to evaluate and increase the sustainability of the use of wearable technologies to support PA in cancer survivors.

Arsenic Speciation and Metallomics Profiling of Human Toenails as a Biomarker to Assess Prostate Cancer Cases: Atlantic PATH Cohort Study.

Chronic exposure to inorganic arsenic and trace metals has been linked to prostate cancer, and altered arsenic methylation capacity may have an important role in arsenic carcinogenesis. Biomarkers may be able to elucidate this role. Our objectives were to characterize profiles of arsenic species and metallome in toenails and urine samples, compare profiles between prostate cancer cases and controls, and determine the discriminant ability of toenail and urine biomarkers. Toenail samples (n = 576), urine samples (n = 152), and questionnaire data were sourced from the Atlantic Partnership for Tomorrow's Health (PATH) cohort study. Healthy controls were matched to prostate cancer cases (3:1 ratio) on sex, age, smoking status, and the province of residence. Metallome profiles and proportions of arsenic species were measured in toenail and urine samples. Analysis of covariance (ANCOVA) was used to compare the mean percent monomethylarsonic acid (%MMA), dimethylarsonic acid (%DMA), inorganic arsenic (%iAs), primary methylation index (PMI, MMA/iAs), and secondary methylation index (SMI, DMA/MMA). Multivariate analysis of covariance (MANCOVA) was used to compare selected metal concentrations. Mean %MMA was significantly lower and SMI was significantly higher in toenails from prostate cancer cases compared to controls in unadjusted and adjusted models. Proportions of arsenic species were correlated with total arsenic in toenails. Arsenic speciation in urine was not different between cases and controls, nor were metallome profiles in toenails and urine. Our results indicate that toenails are a viable biomarker for altered arsenic speciation in prostate cancer cases and may have greater utility than urine in this context.

Substituting bouts of sedentary behavior with physical activity: adopting positive lifestyle choices in people with a history of cancer.

PURPOSE: To determine in people with a history of cancer, whether substituting sitting time with other daily activities (i.e., sleeping, walking, moderate and vigorous physical activity) was associated with changes in waist circumference (WC), an important surrogate marker of cardiometabolic risk. METHODS: Cross-sectional analyses from the Atlantic Partnership for Tomorrow's Health (Atlantic PATH) cohort was conducted using isotemporal substitution models to explore the associations of substituting sedentary time, physical activity behavior (International Physical Activity Questionnaire), or sleep (Pittsburgh Sleep Quality Index) with changes in WC. Analyses were conducted using sex-specific WC classifications. RESULTS: In 3,684 people with a history of cancer [mean age (SD) 58.2 (7.3) years; BMI 28.9 (5.2) kg m-2; 71% female], reallocating 10 min of sleep or sedentary time for 10 min of walking was associated with lower WC in women (p < 0.01). In men, PA intensity appeared to be more strongly associated with a reduced WC. Replacing 10 min of sedentary time with 10 min of moderate or vigorous PA and replacing 10 min of sleep with moderate PA were associated with a significantly reduced WC (p < 0.001). The largest effect was when 10 min of moderate PA was replaced with vigorous PA, a reduction in WC (p < 0.01) was evident. CONCLUSION: For people with a history of cancer, adopting small but positive changes in lifestyle behaviors could help reduce WC and potentially offset negative health-related outcomes associated with higher WC. Further research is required to examine whether such an intervention may be acceptable and manageable among this population.

Applying Machine Learning to Arsenic Species and Metallomics Profiles of Toenails to Evaluate Associations of Environmental Arsenic with Incident Cancer Cases.

Chronic exposure to environmental arsenic has been linked to a number of human diseases affecting multiple organ systems, including cancer. The greatest concern for chronic exposure to arsenic is contaminated groundwater used for drinking as it is the main contributor to the amount of arsenic present in the body. An estimated 40% of households in Nova Scotia (Canada) use water from private wells, and there is a concern that exposure to arsenic may be linked to/associated with cancer. In this preliminary study, we are aiming to gain insights into the association of environmental metal's pathogenicity and carcinogenicity with prostate cancer. We use toenails as a novel biomarker for capturing long-term exposure to arsenic, and have performed toxicological analysis to generate data about differential profiles of arsenic species and the metallome (entirety of metals) for both healthy and individuals with a history cancer. We have applied feature selection and machine learning algorithms to arsenic species and metallomics profiles of toenails to investigate the complex association between environmental arsenic (as a carcinogen) and prostate cancer. We present machine learning based models to ultimately predict the association of environmental arsenic exposure in cancer cases.

Plant-Based Diets and Cancer Risk: What is the Evidence?

PURPOSE OF REVIEW: The purpose of this review is to summarize the recent (past 5 years) available evidence regarding the association between plant-based diets on cancer risk from clinical trials and observational studies. Biological mechanisms and gaps in the current literature will also be discussed. RECENT FINDINGS: There is a lack of intervention studies but there are abundant observational studies assessing the association between plant-based diets and cancer risk, including multiple longitudinal cohort studies and similar data from case-control studies that demonstrate a decreased overall cancer risk with plant-based diets. Case-control studies support a decreased risk of colorectal and breast cancers with plant-based diets, but results for specific cancers remain inconsistent in cohort studies. Current evidence from observational studies indicates an inverse association between plant-based diets and overall cancer risk. Future research should include intervention studies, address inconsistencies in dietary assessment methods and provide greater detail on underrepresented groups.

Lifestyle factors and lung cancer risk among never smokers in the Canadian Partnership for Tomorrow's Health (CanPath).

BACKGROUND: Although smoking is the primary risk factor for lung cancer, 15-25% of lung cancers occur in never smokers. Emerging evidence suggests lifestyle factors are associated with lung cancer risk, but few studies among never smokers exist. METHODS: A case-control study of never smokers within the Canadian Partnership for Tomorrow's Health was conducted. At recruitment, participants provided data on lifestyle, health history and sociodemographic factors. Incident lung cancers were identified through linkage with administrative health records. Cases (n = 190) were matched to controls (n = 760) on age, sex, and follow-up time. Logistic regression analyses, adjusted for matching factors and annual income, were used to identify associations between lifestyle factors and lung cancer risk. RESULTS: Consumption of < 5 servings of fruits and vegetables/day was associated with higher risk of lung cancer (OR 1.50, 95% CI 1.03-2.17). Short or long sleep (≤ 6 or > 9 h/night) was also associated with increased risk of lung cancer (OR 1.52, 95% CI 1.01-2.29). No associations were observed for obesity measures, alcohol consumption, or physical activity. CONCLUSION: Our findings provide evidence of a potential role between sleep, fruits and vegetable consumption, and lung cancer risk in a pan-Canadian, non-smoking population. However, the sample size is modest, and further investigation is needed.

Toenail speciation biomarkers in arsenic-related disease: a feasibility study for investigating the association between arsenic exposure and chronic disease.

Long-term exposure to environmental arsenic has been associated with many chronic diseases, including several cancers, and diabetes. Urinary studies have implicated arsenic speciation as an important risk factor, however, such associations have not been replicated using toenail samples: a relatively new biosample for estimating long-term internal dose-exposure to arsenic. Despite having several advantages over conventional biosamples such as ease of collection and storage, standard methods for arsenic speciation analysis in toenails have not yet been established. The primary objectives of this study were to 1) establish an analytical method for arsenic speciation analysis in toenails, 2) describe preliminary arsenic speciation profiles of toenail samples from individuals with skin, lung, bladder, and kidney cancer, type II diabetes, and no known disease, and 3) determine if these speciation patterns differ between disease groups to inform the feasibility of subsequent research. A small cross-sectional feasibility study was carried out using 60 toenail samples and baseline questionnaire data from the Atlantic Partnership for Tomorrow's Health (Atlantic PATH) study. Arsenic speciation profiles were determined using high performance liquid chromatography (HPLC) paired with inductively coupled plasma-mass spectrometry (ICP-MS). While no differences in total arsenic were found, arsenic speciation profiles were significantly different between certain cancer groups and the reference group with no known disease. Specifically, the percentage of monomethylarsonic acid (%MMA) was found to be significantly higher in the toenails of individuals with lung cancer and kidney cancer, compared to healthy individuals with similar total arsenic exposure. To the best of our knowledge, this is the first study to describe arsenic speciation patterns in individuals with several arsenic-related diseases using toenails: a convenient, non-invasive, biobankable sample capable of longer-term exposure estimation than conventional biosamples. These preliminary data provide evidence that toenail arsenic speciation patterns differ between groups with arsenic-related disease, and those with no known disease. Toenail arsenic speciation analysis is feasible and could potentially have important implications for research on arsenic-related diseases. Further investigation is warranted and would benefit from including detailed arsenic exposure data to explore the observed heterogeneity in arsenic speciation profiles.

Age and Sex-Specific Associations in Health Risk Factors for Chronic Disease: Evidence from the Atlantic Partnership for Tomorrow's Health (PATH) Cohort.

The objective of this study was to discern health risk factors for chronic disease by age and sex in a Canadian cohort. Participants of the Atlantic Partnership for Tomorrow's Health (PATH) cohort with health risk factor data (physical activity, smoking, alcohol consumption, diet, body mass index [BMI]) were included (n = 16,165). Multivariable logistic regression models were used to evaluate the relationship among health risk factors, age, and sex. Regression analysis revealed that the odds of engaging in high levels of physical activity and having a BMI ≥ 25 was lower for females than males across all age groups, whereas the odds of abdominal obesity was substantially higher for females of all ages than for males. The odds of habitually consuming alcohol was lower for females of all ages than for males, and the odds of being a former/current smoker was lower for older (57-74 years of age) females than for males. The odds of consuming five or more servings of fruit and vegetables per day was higher for females of all ages than for males. There are evident differences in health risk factors for males and for females, as well as across age groups, and public health efforts need to account for the role played by sex and age in addressing chronic disease burden in Canadian adults.

Analysis of human serum and urine for tentative identification of potentially carcinogenic pesticide-associated N-nitroso compounds using high-resolution mass spectrometry.

Human serum and urine samples were analyzed for a suite of nitrosatable pesticides and potentially carcinogenic pesticide-associated N-nitroso (PANN) compounds. Formation of PANN compounds may occur in vivo after consumption of food or water containing trace amounts of nitrosatable pesticide residues and nitrate. Using a modified version of the Quick, Easy, Cheap, Effective, Rugged, and Safe (QuEChERS) method, nine nitrosatable pesticides and byproducts were extracted from serum and urine from 64 individuals from two different sample populations in Atlantic Canada: (i) Prince Edward Island, a region where nitrate and trace amounts of nitrosatable pesticides have been detected in groundwater; and (ii) Halifax, Nova Scotia, a non-agricultural urban area. Samples were then analyzed using ultra-high pressure liquid chromatography (UHPLC) coupled with high-resolution accurate mass (HRAM) single-stage orbitrap mass spectrometry (MS), which allows for semi-targeted analysis and tentative identification of a virtually limitless number of exposure biomarkers. Two nitrosatable target analytes, ethylenethiourea (ETU) and 3,5,6-trichloro-2-pyridinol (TCPy) were found in serum, while atrazine (ATR) and ETU were detected in urine. Five and six PANN compounds were tentatively identified in serum and urine, respectively. The two PANN compounds that were most frequently tentatively identified in serum were N-nitroso dimethoate (N-DIM) and N-nitroso omethoate (N-OME) with detection frequencies of 78% and 95%, respectively. This is the first biomonitoring study of its kind to investigate PANN compounds in human serum and urine.

Psychosocial factors and cancer incidence (PSY-CA): Protocol for individual participant data meta-analyses.

OBJECTIVES: Psychosocial factors have been hypothesized to increase the risk of cancer. This study aims (1) to test whether psychosocial factors (depression, anxiety, recent loss events, subjective social support, relationship status, general distress, and neuroticism) are associated with the incidence of any cancer (any, breast, lung, prostate, colorectal, smoking-related, and alcohol-related); (2) to test the interaction between psychosocial factors and factors related to cancer risk (smoking, alcohol use, weight, physical activity, sedentary behavior, sleep, age, sex, education, hormone replacement therapy, and menopausal status) with regard to the incidence of cancer; and (3) to test the mediating role of health behaviors (smoking, alcohol use, weight, physical activity, sedentary behavior, and sleep) in the relationship between psychosocial factors and the incidence of cancer. METHODS: The psychosocial factors and cancer incidence (PSY-CA) consortium was established involving experts in the field of (psycho-)oncology, methodology, and epidemiology. Using data collected in 18 cohorts (N = 617,355), a preplanned two-stage individual participant data (IPD) meta-analysis is proposed. Standardized analyses will be conducted on harmonized datasets for each cohort (stage 1), and meta-analyses will be performed on the risk estimates (stage 2). CONCLUSION: PSY-CA aims to elucidate the relationship between psychosocial factors and cancer risk by addressing several shortcomings of prior meta-analyses.

Post-Treatment Adverse Health Correlates among Prostate Cancer Survivors in a Sample of Men Residing in Atlantic Canada.

BACKGROUND: Recent large population-based studies have shed light on an association between prostate cancer (PCa) survivorship and mental health, which emerged when the comparison group was either men without a history of cancer or those with any other type of cancer except prostate. Here we examine the role of surgery alone, compared to other types of treatment modalities in this association in a population-based sample of men with prostate or other types of cancer. METHODS: A cross-sectional analysis was conducted on a subsample of 632 male participants aged 36-69 from the 2009-2015 survey cycle of the Atlantic PATH cohort study. The primary outcomes were the presence of mild, moderate or severe depression or anxiety indicators and were assessed using the seven-item generalized anxiety disorder (GAD-7) scale and the nine-item Patient Health Questionnaire (PHQ-9), respectively. The presence of a lifetime history of PCa or other form of cancer (except PCa) was the main predictor variable and was assessed in cancer treatment modality (surgery or other types of treatment modalities) stratified analyses. Covariates included age, marital status, household income, comorbidity, and survivorship time. RESULTS: The presence of depression in this sample was prevalent among 17.7% of men, and of anxiety among 9.3% of men. Survivors who were treated with surgery for their PCa diagnosis had 7.55 statistically significantly higher odds of screening positive for current depression symptoms compared with those of other forms of cancer in controlled analyses. These differences were not observed for anxiety. CONCLUSIONS: These findings emphasize the need for multidisciplinary survivorship care plans among PCa patients, especially those who undergo surgery. Targeted programming aimed at prioritizing and delivering comprehensive mental health support to PCa survivors early in the survivorship journey is justified.

The association between mental health and shift work: Findings from the Atlantic PATH study.

We evaluated the relationship between mental health and shift work in the Atlantic Partnership for Tomorrow's Health (PATH) cohort study. In a matched study with 12,413 participants, including 4155 shift workers and 8258 non-shift workers, we utilized general linear models and logistic regression models to assess the differences in depression, anxiety, and self-rated health. Shift workers reported higher levels of each of the mental health-related domains compared to non-shift workers. There was a significant increased risk of depression (OR = 1.13, 95% CI, 1.00-1.27) and poor self-rated health (OR = 1.13, 95% CI, 1.14-1.55) among shift workers compared to non-shift workers. Shift workers were more likely to have increased rates of depression and poor self-rated health, as well as depressive and anxiety symptom scores compared to non-shift workers. As a result, shift workers may be at increased risk of comorbidity, poor quality of life, missed work, and early retirement.

An Examination of the Role of Socioeconomic Status in the Relationship between Depression and Prostate Cancer Survivorship in a Population-Based Sample of Men from Atlantic Canada.

OBJECTIVE: Prostate and skin cancer are among the most prevalent forms of cancer among men and have favorable survival rates compared to other, more aggressive forms of cancers. Recent studies have shown that the odds of depression among men with a lifetime history of prostate cancer are higher compared to men without a lifetime history of prostate cancer. Here we extend previous findings and examine the role of socioeconomic status in the relationship between depression and cancer survivorship status in a population-based sample of men from Atlantic Canada. METHODS: A cross-sectional analysis was conducted on a subsample of 6,585 male participants aged 49-69 years from the 2009-2015 survey cycle of the Atlantic PATH study. The primary outcome was screening positive for mild, moderate or severe depression using the Patient Health Questionnaire (PHQ-9). The main predictor variable was cancer survivorship status (the presence of a lifetime history of prostate cancer, skin cancer, forms of cancer other than prostate or skin cancer, or absence of a lifetime cancer diagnosis). Covariates included age, education, marital status, household income, province, ethnicity, comorbidity, and survivorship time. RESULTS: An estimated 14.7% of men in this sample screened positive for mild, moderate or severe depression. Men with a history of prostate cancer were 2.60 (95% CI: 1.02, 6.65) times more likely to screen positive for depression than men with a history of any other form of cancer. The odds ratios were 10.23 (95% CI: 2.82, 37.49) or 4.00 (95% CI: 1.20, 13.34) times higher for survivors of prostate or skin cancer who reported a low household income to screen positive for depression compared to men with a history of any other form of cancer and high household income. CONCLUSIONS: These results extend current evidence of the association between prostate cancer survivorship and depression compared with men who never had a history of cancer diagnosis by indicating that this association still stands when the survivors of prostate cancer are compared to survivors of any other form of cancer, and further indicates that this association is moderated by household income. The findings highlight the importance of delivering mental health screening and support to prostate cancer survivors during the cancer journey, especially those with low household incomes.