ecancermedicalscience

Review

Examining the prevalence and predictors of anxiety and depression across treatment stages in prostate cancer: a systematic review

Oluwafemi E Adesina1,a, Oluwadamilare Akingbade1,2,b, Emmanuel O Adesuyi1,3,c, Yetunde Tola1,4,d, Ooreofe Bolanle Adeyemi1,e, Tosin Akintunde5,f, Stephan Osei1, Julius Maitanmi6,f and Deborah T Esan7,g

1Institute of Nursing Research Nigeria, Osogbo 232111, Nigeria

2University of Alberta, Edmonton, AB T6G 2R3, Canada

3Birmingham City University, B4 7RJ Birmingham, UK

4 School of Nursing, Dalhousie University, B3H 4R2, Canada

5 Hohai University, Nanjing, 211100 China

6Babcock University, Ilishan 121103, Nigeria

7Bowen University, Iwo, Osun 220103, Nigeria

ahttps://orcid.org/0009-0005-7567-3431

bhttps://orcid.org/0000-0003-1049-668X

chttps://orcid.org/0000-0003-0214-6401

dhttps://orcid.org/0000-0001-9408-0694

ehttps://orcid.org/0000-0001-6039-9568

fhttps://orcid.org/0000-0001-9136-6603

ghttps://orcid.org/0000-0002-3896-8207


Abstract

Anxiety and depression are common in prostate cancer (PCa) patients and negatively impact the quality of life, treatment outcome, survival and overall well-being, thus, requiring interventions to meet the psychosocial needs of PCa patients across treatment stages. However, there is not enough information to guide the design of these interventions, as there are still areas of lack of clarity regarding the prevalence and predictors of anxiety and depression in PCa patients. Therefore, this review was conducted to examine the literature to identify the overall prevalence of anxiety and depression across treatment stages in PCa patients and to identify the predictors of anxiety and depression in this population. A literature search was conducted from the Cochrane library, Ovid Medline and APA PsycINFO databases. Eighteen eligible studies were included in the final review. The findings were analysed using a narrative synthesis. The study quality was assessed using the Joanna Briggs Institute critical appraisal checklist. The prevalence of anxiety and depression was found to be between 6% to 44.8% and 10% to 48%, respectively. Notably, the prevalence of depression was higher in the post-treatment phase than in the treatment phase. Finally, the result demonstrates that socio-economic/demographic, clinical and lifestyle factors determine patients’ predisposition to anxiety and depression. These demonstrate that the prevalence of anxiety and depression is high across the PCa disease trajectory and that some patients are more likely to experience anxiety and depression than others. Therefore, we recommend periodic assessment to identify at risk patients and those with clinically significant or worsening levels of anxiety and depression for timely interventions to mitigate the risks or ameliorate the symptoms of anxiety and depression.

Keywords: anxiety, depression, prostate cancer, prostatic neoplasm, prevalence, predictors

Correspondence to: Oluwafemi E Adesina
Email: femiadesina10@gmail.com

Published: 19/11/2025
Received: 17/05/2025

Publication costs for this article were supported by ecancer (UK Charity number 1176307).

Copyright: © the authors; licensee ecancermedicalscience. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Introduction

Globally, prostate cancer (PCa) is the leading type of cancer in men Global Cancer Observatory [19]. As of 2020, it accounted for 7.3% of all cancers diagnosed worldwide and is implicated in 3.8% of every cancer-related death recorded [19]. The incidence and prevalence of PCa have witnessed a steady rise over the years, increasing by 3% annually between 2014 and 2019 in the US [45].

By 2020, 1 in every 1,000 cancers diagnosed in the USA was PCa, thus surpassing lung cancer to become the second most diagnosed cancer in the USA [49]. In the same year, PCa surpassed breast cancer in the UK to become the most diagnosed cancer type, with PCa accounting for 12.4% of all new cases [9, 20].

The PCa disease trajectory consists of three time-points: pre-treatment, on-treatment and post-treatment/survival phase. The whole diagnosis and treatment journey is an emotional experience for several reasons, including the shock of the diagnosis, thoughts of the possibility of death, uncertainty about treatment outcome, impaired sexuality and a decline in quality of life [43], which affects the psychological wellbeing of patients.

Evidence shows that anxiety and depression are common in PCa, with prevalence rates higher than in the general population [27] and vary according to the phase of treatment the patient is in (2019). Both disorders have been strongly linked with poor adherence to treatment, poor treatment outcomes and increased risk of suicide among PCa patients [8, 46], which highlights a crucial clinical problem requiring the development of interventions to address.

To plan an effective intervention, understanding the factors that predict anxiety and depression among PCa patients is essential. In addition, a clear understanding of where a patient is more likely to experience anxiety and depression in the PCa disease trajectory is also crucial. However, these remain unclear.

To date, one published systematic review by Watts et al [52] examined the prevalence of anxiety and depression across the PCa disease trajectory. The review found the prevalence of anxiety and depression to range from 15% to 27%, with higher rates in the post-treatment phase than during treatment.

However, since the last systematic review was published (2014) nearly a decade ago, several primary studies have emerged on this topic, all reporting varying prevalence rates across the PCa disease trajectory. For instance, Erim et al [14, 15] reported that the prevalence of depression was lower in the post-treatment stage compared to the treatment stage, yet others argue it is higher in the post-treatment stage [13]. Additionally, previous studies, including the systematic review by Watts et al [52], did not explore the predictors of anxiety and depression across the PCa disease trajectory. Thus, an updated systematic review is warranted.

The current study aims to systematically analyse the literature to ascertain the current prevalence rates of anxiety and depression in PCa patients across the treatment and post-treatment phases of PCa. Second, the review aims to examine the potential predictors of anxiety and depression in this patient group.


Methods

Protocols and registration

The systematic review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. The review protocol was registered with PROSPERO (registration number: CRD42023469982).

Eligibility criteria

The CocoPop framework [34] was used to frame the research question and eligibility criteria. It consists of three elements: 1) the disease condition being studied, 2) the context of its occurrence and 3) the characteristics of the population it is being studied in [34]. The framework applied to this current review can be summarised as follows:

  • Condition: Studies that examined the prevalence and predictors of anxiety and depression in PCa patients were included in the review.
  • Context: Studies examining patients in the on-treatment and post-treatment/survival phases of the PCa disease trajectory were also included.
  • Population: Studies involving men aged 15 and above diagnosed with PCa were included, as evidence shows an increasing prevalence of PCa in adolescents and young adult males [5].

Search strategy

A systematic search was conducted on the Cochrane Library, APA PsycINFO and Ovid Medline to identify studies that reported the prevalence of anxiety and/or depression in individuals diagnosed with PCa across the treatment stages of the disease. The details of the search strategy are presented in Table 1. The databases were searched from 2013 to June 2023. Also, to supplement the search, the reference lists of included studies were screened to identify studies not initially retrieved from the database search.

Article screening and selection process

Studies retrieved from the database search were de-duplicated using Endnote 20, after which Oluwafemi E Adesina (OEA) and Akingbade Oluwadamilare (AO) independently screened the articles. First, the title and abstract of the articles were screened against the inclusion and exclusion criteria. Next, the full texts of potentially eligible studies were retrieved and further screened. Throughout the review process, conflicts were discussed and resolved through consensus. The article screening and selection process is summarised using a PRISMA flow diagram in Figure 1.

Risk of bias assessment

OEA and AO assessed the methodological quality of the included studies using the Joanna Briggs Institute (JBI) critical appraisal checklist [34] as summarised in Table 2. Also, a scoring system was used to rate the studies as having low, moderate or high quality based on the overall score. Similarly, where there were disagreements, they were resolved by discussing with another team member. The scoring and quality rating criteria are summarise in Supplementary Tables 1 and 2.

Table 1. Database search terms.

Figure 1. Data base search and article selection.

Data extraction and analysis

Further, the two reviewers independently conducted the data extraction from the included studies, using a modified JBI data extraction form. The following data were extracted: sample size, age, treatment received, treatment stage, the instrument used to evaluate anxiety and depression, study design, prevalence of anxiety and/or depression and the predictors of anxiety and/or depression.

Finally, a narrative synthesis was conducted to analyse the key findings of the review, particularly the prevalence and predictors of anxiety and depression across the treatment stages. While statistical pooling of prevalence estimates and meta-analysis were considered, the wide variation in the study designs, instrument for data collection and cut-off scores for determining caseness precluded these. Therefore, a narrative review/synthesis was adopted.

Missing or incomplete data were retrieved by contacting the study authors. Where this was not possible, the available findings were described and the assumptions made about the missing data were clearly stated.


Results

After the database search and article screening process, 18 eligible studies were included in the review. The article screening and selection process is summarised in Figure 1. The studies included in the review examined the prevalence of anxiety and/or depression in PCa patients in the on-treatment and/or post-treatment phase. The characteristics of the studies included in this review are summarised in Table 3.

Table 2. Summary of the methodological quality appraisal using the JBI critical appraisal checklist.

Table 3. Summarising the characteristics of studies included in the review.

The included studies were conducted in a range of countries, including China (n = 2), Australia (n = 2), the Netherlands (n = 1), UK (n = 1), Republic of Ireland and UK (n = 2), USA (n = 4), Italy (n = 2), Taiwan (n = 1), Japan (n = 1) and Spain (n = 2). All the studies were published between 2013 and 2021, with a pooled sample size of 21,718.

Further, participants’ mean age was reported in 13 studies [7, 10, 11, 14, 21, 23, 37, 41, 47, 48, 50, 51, 55] and it varied from 62.5 to 76. The mean age of all the participants across the 13 studies was 68.73 years.

Notably, two treatment stages were identified in this review: the on-treatment stage and the post-treatment/ survival stage. Most of the studies (n= 15) assessed anxiety or depression or both in the post-treatment phase of PCa only, one assessed depression in the on-treatment phase only [55], while two assessed the same outcome in both the on-treatment and the post-treatment phase [39, 41] and one study assessed depression in the on-treatment stage alone [55]. Seven studies reported the prevalence rates of both anxiety and depression [11, 23, 37, 40, 42, 48, 51], eight reported rates of only depression [1, 4, 7, 10, 21, 39, 41, 55] and three reported rates of only anxiety [14, 47, 50]. Regarding the predictors of anxiety and depression, only nine studies reported them [4, 10, 11, 39, 40, 42, 48, 51, 55].

The cancer treatments received by the participants were reported in all but one study [42]. The treatment modalities reported across the six studies are radical prostatectomy/surgery (n = 12) [1, 7, 21, 23, 37, 39, 40, 47, 48, 50, 51, 55], radiotherapy (n = 9) [1, 4, 11, 21, 39, 40, 47, 50, 51], ADT/hormone therapy (n = 8) [4, 10, 11, 39, 41, 51, 55] and chemotherapy (n = 1) [4]. The most common treatment that patients received was surgery/radical prostatectomy [1, 48, 50, 51, 55], while the least identified treatment received by patients was chemotherapy [4].

Most studies (n = 10) reported the prevalence of anxiety, all of which were assessed in the post-treatment phase [11, 14, 23, 37, 40, 42, 47, 48, 50, 51]. The rates varied across these studies, ranging from 6% to 44.8%. Also, no study in the review assessed anxiety prevalence in the on-treatment stage.

For depression, 12 studies reported the prevalence in the post-treatment phase of PCa alone [1, 4, 7, 10, 11, 21, 23, 37, 40, 42, 48, 51], two reported depression prevalence in both the on-treatment and post-treatment phase [39, 41], while one reported depression prevalence in the on-treatment phase only, at multiple times and across three sub-groups [55] as shown in Table 3.

The prevalence of depression varied across all the studies, ranging from 9.1% to 46.9% in the on-treatment phase and 7% to 48% in the post-treatment phase.

The predictors of anxiety and depression were reported in only nine of the studies, with seven of these studies assessing PCa patients in the post-treatment phase [4, 10, 11, 41, 42, 48, 51], one in the on-treatment phase [55] and the last across both the on-treatment and post-treatment phases [39]. The predictors of anxiety and depression identified in the current review can be categorised into three domains: socio-economic factors, clinical factors and lifestyle factors. These predictors include age, marital status, level of education, employment status, living in Northern Ireland, a history of depression, cancer symptoms at diagnosis, comorbidities, treatment modality, post-operative erectile dysfunction, smoking, alcohol consumption and inadequate physical activity.


Discussion

This review was conducted to identify the overall prevalence as well as the predictors of anxiety and depression in PCa patients across treatment stages. The findings offer crucial insight into the psychosocial needs of PCa patients and how to best support them, as discussed subsequently.

Prevalence of anxiety and depression

The prevalence of anxiety varied across the ten studies that reported it. Notably, the reported prevalence of anxiety covered only the post-treatment stage, as none of the studies assessed or reported the prevalence of anxiety in the on-treatment stage. The post-treatment prevalence ranged from 6% to 44.8%. This finding is not unexpected, as a similar range of anxiety prevalence was reported in previous studies [27, 54], confirming that PCa patients still experience high anxiety levels after completing treatment. It also suggests that the psychosocial needs of PCa patients in these stages of treatment are not being met.

The variation observed in the prevalence of anxiety may be due to the use of different instruments with different cut-off scores to assess anxiety and varying sample size [52], as the studies in this review reporting the highest prevalence of anxiety had low to moderate sample sizes [23, 47].

Finally, the study location may also explain the difference observed in the prevalence rate of anxiety. The two studies included in this review with the highest anxiety prevalence (41.7% and 44.8%) were conducted in Asia [23, 47]. Another study conducted in China, an Asian country, found the prevalence of anxiety in PCa patients to be 43.2% [54]. This observation strengthens the argument that there is a possible link between the study location and the variation in anxiety prevalence reported. It also suggests that Asian men with PCa might be more susceptible to anxiety than their European counterparts. However, more empirical studies are required to validate this view.

This review found the prevalence of depression to be between 7% and 48%, a rate unexpectedly higher than what was previously reported in the literature (8.2% to 25%) [3, 16, 27]. This may be due to the use of different instruments to assess depression, as it has been demonstrated that the use of different instruments in assessing depression accounts for the difference in the reported prevalence [44].

Furthermore, the difference in treatment type received in different sample populations could also explain the variation observed in the reported depression prevalence. The current review found that in most of the studies that reported the highest levels of depression, the participants were primarily treated with ADT. In contrast, the other studies that reported low to moderate rates of depression had patients who received other treatments (i.e., prostatectomy and RT), with or without ADT. This is corroborated by a previous finding that ADT is linked to a higher risk of depression [18].

The prevalence of depression, but not anxiety, is higher after treatment than during treatment. This result is corroborated by Watts et al [52]’s meta-analysis result, which showed that the overall prevalence of anxiety and depression among PCa patients in the post-treatment stage was higher compared to the treatment stage. A plausible explanation for this pattern is that treatments for PCa result in debilitating after-effects such as impaired sexual function, impaired bowel and urinary function, which can all negatively impact patients’ mental health [27]. Additionally, fear of cancer recurrence is a common concern among PCa patients [28] and may also contribute to the increased level of anxiety and depression experienced by PCa patients in the post-treatment stage. Thus, highlighting the need for targeted psychosocial interventions in this treatment phase of PCa.

Conversely, Erim et al [14, 15] found the prevalence of depression to decline in the post-treatment phase. However, they did not compare on-treatment rates to the post-treatment rates. Instead, the authors compared pre-treatment rates and post-treatment rates. Based on their findings, no conclusion can be made regarding the level of depression experienced by PCa patients during treatment compared to after treatment. Therefore, this review confirms that the prevalence of depression in PCa patients is higher in the post-treatment phase compared to the treatment phase.

Notably, none of the studies in this review reported the prevalence of anxiety in the treatment phase. Thus, making it difficult to identify the difference in the anxiety levels experienced by patients while on treatment compared to after treatment. However, the review of Watts et al [52] shows a similar trend of fewer studies in the on-treatment stage. For instance, of the 27 studies included in the review, only four assessed anxiety in the on-treatment stage and of the four, two were studies that assessed patients on active surveillance.

Predictors of anxiety and depression

Socio-economic factors

Regarding the predictors, being younger was found to predict both anxiety and depression in PCa patients. This corroborates the result of two studies that assessed anxiety in PCa and ovarian cancer patients [24, 29] and debunks the finding of Yu and Li [54], which suggests that older age predicts anxiety. Younger PCa patients are more likely than their older counterparts to experience anxiety and depression because older age is associated with higher levels of resilience [38], which is believed to ameliorate the impact of stressful life events on psychological well-being [30]. Thus, it can be inferred that younger PCa patients would benefit from interventions aimed at improving resilience.

Furthermore, being unmarried predicted both anxiety and depression in PCa patients. This confirms previous findings that reveal that divorced and unmarried PCa patients are more likely to experience anxiety and depression than their married counterparts [36, 53]. It is possible that being married provides the needed psychosocial support to cope with the distress of PCa. Therefore, this highlights a need for alternative psychosocial support systems, such as support groups for unmarried PCa patients.

Additionally, educational attainment predicts the occurrence of anxiety and depression. Less educated PCa patients were more likely to experience anxiety and depression than the more educated ones. This finding is echoed by other studies that have previously demonstrated the link between educational attainment and anxiety [40, 54]. Besides, a low level of education is associated with unemployment and consequent financial difficulty [33]. Similarly, the physical impact of PCa symptoms and treatment after-effects, such as fatigue, can affect patients’ ability to work [6], resulting in low or no income. The ensuing financial difficulty predisposes patients to depression [25, 26].

Clinical factors

It was observed that medical comorbidities increased the likelihood of developing anxiety and depression in PCa patients [11, 42, 51]. This is possibly owing to the correlation between chronic illnesses and anxiety [28], as the comorbidities identified in this review were primarily chronic illnesses such as hypertension, chronic obstructive pulmonary disease, asthma, diabetes, arthritis, inflammatory bowel disease and so on [51]. Given that PCa can also independently contribute to the experience of anxiety and depression among patients [27], it is difficult to establish if the anxiety experienced is attributable to PCa itself or the comorbidities. This highlights a need for longitudinal controlled studies to compare the level of anxiety in PCa patients with comorbidities and those without co-morbidities to ascertain if co-morbidities indeed predict anxiety in PCa.

Furthermore, treatment modalities, particularly receiving ADT and open robotic surgery, have been shown to predict depression and not anxiety. This is because of the after-effects of treatments. For instance, ADT causes breast tenderness, impaired sexual function, weight gain, hot flushes and irritability [35, 37]. Similarly, prostate surgery results in erectile dysfunction and impaired urinary function [54] and all these put the PCa patient at a higher risk of depression. Since these are inevitable side effects of treatments, their impact on a patient’s mental health can only be minimised. This can be achieved by equipping patients with adequate information about treatment and side effects before treatment and providing ongoing support while on treatment and even after treatment.

In conclusion, since these clinical predictors are easy for clinicians to spot, they offer a promising avenue to identify and provide prompt management for PCa patients at risk of experiencing anxiety/depression.

Lifestyle factors

This review found smoking and alcohol consumption to predict depression but not anxiety in PCa patients [55]. It is thought that depressed PCa patients may resort to smoking as a coping mechanism. However, the causal links between them remain unclear [17]. Similarly, it is thought that PCa patients consume alcohol as a coping mechanism for the distress of the illness. A previous study suggested a causal relationship between alcohol use and depression, stating that alcohol use increases the risk of depression [32]. Thus, highlighting the need to pay attention to the alcohol use pattern in PCa patients, as it can provide an avenue for early detection and prevention of depression.

Also, reduced physical activities predicted depression but not anxiety among PCa patients [11]. Several reviews also found that engaging in exercise can prevent or improve the symptoms of depression in cancer patients [22, 31] and is most effective in the on-treatment phase. Given these, it could be inferred that incorporating exercise in managing PCa patients would prevent or reduce the risk of depression.

Finally, seven of the studies in which these predictors were identified assessed PCa patients in the post-treatment phase, while one assessed the patients in the on-treatment phase [55], and the last assessed them across both the on-treatment and post-treatment phases [39]. This uneven distribution of studies across treatment stages makes it difficult to ascertain which predictors may account for the different levels of anxiety and depression experienced in the treatment and post-treatment phases of PCa.

Strengths and limitations of the study

On the one hand, this systematic review has some strengths. First, all the included studies utilised a standardised instrument to assess anxiety and depression. Also, the methodological quality of the included studies was assessed utilising an appraisal tool that has been previously tested.

On the other hand, owing to the wide variation in the study designs, instruments for data collection and cut-off scores for determining caseness, a meta-analysis or a pooled prevalence estimate was not feasible. Instead, a narrative synthesis was conducted.

Further, there was a paucity of on-treatment studies included in the review because most studies utilised a cross-sectional design, which measured point prevalence and, thus, was not a suitable design to measure changes in the prevalence of anxiety and depression over time. Furthermore, this current review did not count studies on active surveillance as on-treatment studies. This is because active surveillance is considered a management approach that monitors rather than actively treats a disease [2, 12]. Hence, active surveillance studies were excluded from this review.

Notwithstanding, these limitations do not undermine the findings of this review. They only highlight areas readers need to consider while interpreting the results.

Recommendations for future research

There is a paucity of research that assessed anxiety and depression in PCa patients in low and middle-income countries (LMICs), especially in Africa and the Caribbean, geographical regions that have the largest population of black men who are the most affected by PCa. Thus, highlighting a crucial research gap and a need to conduct quality studies in LMICs.

Finally, future research assessing anxiety and depression across treatment stages should utilise longitudinal designs to address the limitations of cross-sectional designs.

Implications for clinical practice

Given the findings, it is recommended that an assessment of anxiety and depression should be conducted pre-treatment (as a baseline for subsequent evaluations), during treatment and after treatment to identify those with clinically significant or worsening levels of anxiety and depression for timely referral for appropriate mental healthcare. Preferably, the assessment tool should be concise, easy to use and have an empirically proven internal validity, such as the HADS, MAX-PC or PHQ-9 [40].

Further, cancer multi-disciplinary teams could utilise the supportive evidence provided in this study in designing guidelines and pathways for the screening, stratification and management or referral of at-risk patients.

Considering that anxiety and depression persist into the PCa survivorship phase, there is a clear need to provide ongoing patient support post-treatment through support groups and uro-oncology clinical nurse specialist (CNS) clinics. Although in developed countries, CNS clinics and PCa support groups are available and have proven useful, it would be beneficial to incorporate more programs aimed at improving resilience, as high levels of resilience can serve as a buffer against anxiety and depression [38].

Finally, as evidence suggests that the lack of adequate physical activity increases the risk of experiencing depression in PCa patients, it may be worthwhile to incorporate supervised exercise in the management of PCa, as it has been demonstrated to prevent and improve depression symptoms in cancer patients [22].


Conclusion

This review confirms that anxiety and depression prevalence are high across the PCa disease trajectory, and depression prevalence is higher in the post-treatment phase. It also demonstrates that socio-economic/demographic, clinical and lifestyle factors determine patients’ predisposition to anxiety and depression. This suggests that some PCa patients are more likely to experience anxiety and depression than others. Therefore, we recommend periodic screening to identify patients with clinically significant or worsening levels of anxiety and depression for timely interventions. Finally, incorporating exercise and supportive care via CNS clinics and PCa support groups are likely to reduce the risk of or ameliorate anxiety and depression symptoms.


List of abbreviations

PCa, Prostate cancer; CRUK, Cancer Research UK; PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-analaysis; PROSPERO, International Prospective Register of Systematic Reviews.


Conflicts of interest

The authors have no conflicts of interest to declare.


Funding

No funding was received for this work.


References

1. Baden M, Lu L, and Drummond FJ, et al (2020) Pain, fatigue and depression symptom cluster in survivors of prostate cancer Supportive Care Cancer 28(10) 4813–4824

2. Bates AS, Kostakopoulos N, and Ayers J, et al (2020) A narrative overview of active surveillance for clinically localised prostate cancer Seminars Oncol Nursing 36(4) 151045 https://doi.org/10.1016/j.soncn.2020.151045

3. Belete AM, Alemagegn A, and Mulu AT, et al (2022) Prevalence of depression and associated factors among adult cancer patients receiving chemotherapy during the era of COVID-19 in Ethiopia PLoS One 17(6) 270293 https://doi.org/10.1371/journal.pone.0270293

4. Bensley JG, Dhillon HM, and Evans SM, et al (2022) Self‐reported lack of energy or feeling depressed 12 months after treatment in men diagnosed with prostate cancer within a population‐based registry Psycho‐Oncology 31(3) 496–503 https://doi.org/10.1002/pon.5833

5. Bleyer A, Spreafico F, and Barr R (2020) Prostate cancer in young men: an emerging young adult and older adolescent challenge Cancer 126(1) 46–57 https://doi.org/10.1002/cncr.32498

6. Boelhouwer IG, Vermeer W, and Van Vuuren T (2021) The associations between late effects of cancer treatment, work ability and job resources: a systematic review Int Arch Occupational Environ Health 94 147–189 https://doi.org/10.1007/s00420-020-01567-w

7. Boeri L, Capogrosso P, and Ventimiglia E, et al (2018) Depressive symptoms and low sexual desire after radical prostatectomy: early and long-term outcomes in a real-life setting J Urology 199(2) 474–480 https://doi.org/10.1016/j.juro.2017.08.104

8. Brunckhorst O, Hashemi S, and Martin A, et al (2021) Depression, anxiety, and suicidality in patients with prostate cancer: a systematic review and meta-analysis of observational studies Prostate Cancer Prostatic Dis 24(2) 281–289 https://doi.org/10.1038/s41391-020-00286-0

9. Cancer Research UK (2020) Twenty Most Common Cancers [https://www.cancerresearchuk.org/health-professional/cancer-statistics/incidence/common-cancers-compared#ref] Date accessed: 29/08/2023

10. Chen YZ, Chiang PK, and Lin WR, et al (2020) The relationship between androgen deprivation therapy and depression symptoms in patients with prostate cancer Aging Male 23(5) 629–634 https://doi.org/10.1080/13685538.2018.1560404

11. Chipperfield K, Fletcher J, and Millar J, et al (2013) Predictors of depression, anxiety and quality of life in patients with prostate cancer receiving androgen deprivation therapy Psycho‐Oncology 22(10) 2169–2176 https://doi.org/10.1002/pon.3269 PMID: 23483679

12. De Vos II, Luiting HB, and Roobol MJ (2023) Active surveillance for prostate cancer: past, current, and future trends J Pers Med 13(4) 629 https://doi.org/10.3390/jpm13040629 PMID: 37109015 PMCID: 10145015

13. Duarte V, Araújo N, and Lopes C, et al (2022) Anxiety and depression in patients with prostate cancer, at cancer diagnosis and after a one-year follow-up Int J Environ Res Public Health 19(15) 9122 https://doi.org/10.3390/ijerph19159122 PMID: 35897487 PMCID: 9368515

14. Erim DO, Bennett AV, and Gaynes BN, et al (2019) Mapping the memorial anxiety scale for Prostate cancer to the SF-6D Qual Life Res 30 2919–2928 https://doi.org/10.1007/s11136-021-02871-9

15. Erim DO, Bensen JT, and Mohler JL, et al (2019) Prevalence and predictors of probable depression in prostate cancer survivors Cancer 125(19) 3418–3427 https://doi.org/10.1002/cncr.32338 PMID: 31246284 PMCID: 7465428

16. Fervaha G, Izard JP, and Tripp DA, et al (2020) Psychological morbidity associated with prostate cancer: rates and predictors of depression in the RADICAL PC study Can Urological Assoc J 15(6) 181

17. Fluharty M, Taylor AE, and Grabski M, et al (2016) The association of cigarette smoking with depression and anxiety: a systematic review Nicotine & Tobacco Res 19(1) 3–13 https://doi.org/10.1093/ntr/ntw140

18. Gagliano-Jucá T, Travison TG, and Nguyen PL, et al (2018) Effects of androgen deprivation therapy on pain perception, quality of life, and depression in men with prostate cancer J Pain Symptom Manage 55(2) 307–317 https://doi.org/10.1016/j.jpainsymman.2017.09.017

19. GLOBOCAN (2020) Prostate [https://gco.iarc.fr/today/data/factsheets/cancers/27-Prostate-fact-sheet.pdf] Date accessed: 16, 2023.

20. GLOBOCAN (2020) United Kingdom [https://gco.iarc.fr/today/data/factsheets/populations/826-united-kingdom-fact-sheets.pdf] Date accessed: 29/08/2023

21. Hoyt MA and Carpenter KM (2015) Sexual self‐schema and depressive symptoms after prostate cancer Psycho‐Oncology 24(4) 395–401 https://doi.org/10.1002/pon.3601

22. Hu MX, Turner D, and Generaal E, et al (2020) Exercise interventions for the prevention of depression: a systematic review of meta-analyses BMC Public Health 20 1 https://doi.org/10.1186/s12889-020-09323-y

23. Hu S, Li L, and Wu X, et al (2021) Post -surgery anxiety and depression in prostate cancer patients: prevalence, longitudinal progression, and their correlations with survival profiles during a 3-year follow-up Irish J Med Sci 1

24. James C, Brunckhorst O, and Eymech O, et al (2022) Fear of cancer recurrence and PSA anxiety in patients with prostate cancer: a systematic review Supportive Care Cancer 30(7) 5577–5589

25. Jones SMW (2022) Financial worry in people with cancer: relationship to employment and outcomes Psycho‐Oncology 31(11) 1835–1842 https://doi.org/10.1002/pon.6034 PMID: 36109869

26. Jones SMW, Ton M, and Heffner JL, et al (2023) Association of financial worry with substance use, mental health, and quality of life in cancer patients J Cancer Survivorship 17(6) 1824–1833 https://doi.org/10.1007/s11764-022-01319-4

27. Kim SH, Seong DH, and Yoon SM, et al (2017) Predictors of health-related quality of life in Korean prostate cancer patients receiving androgen deprivation therapy Eur J Oncol Nursing 30 84–90 https://doi.org/10.1016/j.ejon.2017.08.009

28. Lebel S, Mutsaers B, and Tomei C, et al (2020) Health anxiety and illness-related fears across diverse chronic illnesses: a systematic review on conceptualization, measurement, prevalence, course, and correlates PLoS One 15(7) 234124 https://doi.org/10.1371/journal.pone.0234124

29. Liu H and Yang L (2019) Dynamic change of depression and anxiety after chemotherapy among patients with ovarian cancer Medicine 98(31) e16620 https://doi.org/10.1097/MD.0000000000016620 PMID: 31374028 PMCID: 6709108

30. Macleod S, Musich S, and Hawkins K, et al (2016) The impact of resilience among older adults Geriatric Nursing 37(4) 266–272 https://doi.org/10.1016/j.gerinurse.2016.02.014 PMID: 27055911

31. Marconcin P, Marques A, and Ferrari G, et al (2022) Impact of exercise training on depressive symptoms in cancer patients: a critical analysis Biology 11(4) 614 https://doi.org/10.3390/biology11040614 PMID: 35453813 PMCID: 9031941

32. Mchugh R (2019) Alcohol use disorder and depressive disorders Alcohol Res Curr Rev 40(1) 40 https://doi.org/10.35946/arcr.v40.1.01

33. Mpendulo G and Mang’Unyi EE (2018) Exploring relationships between education level and unemployment J Social Sci (COESRJ-JSS) 7(2) 86–102

34. Munn Z, Stern C, and Aromataris E, et al (2018) What kind of systematic review should I conduct? A proposed typology and guidance for systematic reviewers in the medical and health sciences BMC Med Res Methodol 18 1–9 https://doi.org/10.1186/s12874-017-0468-4

35. National Institute for Health and Care Excellence (2019) Prostate Cancer: Diagnosis and Management (update) (London: National institute for Health and Care Excellence)

36. O’Shaughnessy P, Laws TA, and Esterman AJ (2015) The prostate cancer journey: results of an online survey of men and their partners Cancer Nursing 38(1) E1–E2 https://doi.org/10.1097/NCC.0b013e31827df2a9

37. Punnen S, Cowan JE, and Dunn LB, et al (2013) A longitudinal study of anxiety, depression and distress as predictors of sexual and urinary quality of life in men with prostate cancer BJU Int 112(2) E67–E75 https://doi.org/10.1111/bju.12209 PMID: 23795800

38. Rossi R, Jannini TB, and Socci V, et al (2021) Stressful life events and resilience during the COVID-19 lockdown measures in Italy: association with mental health outcomes and age Front Psychiatry 12 635832 https://doi.org/10.3389/fpsyt.2021.635832 PMID: 33762980 PMCID: 7982412

39. Saini A, Berruti A, and Cracco C, et al (2013) Psychological distress in men with prostate cancer receiving adjuvant androgen-deprivation therapy Urol Oncol Semin Original Investig 31(3) 352–358 https://doi.org/10.1016/j.urolonc.2011.02.005

40. Sánchez Sánchez E, González Baena AC, and González Cáliz C, et al (2020) Prevalence of anxiety and depression in prostate cancer patients and their spouses: an unaddressed reality Prostate Cancer 2020(1) 4393175 https://doi.org/10.1155/2020/4393175 PMID: 32231798 PMCID: 7097760

41. Sánchez-Martínez V, Buigues C, and Navarro-Martínez R, et al (2021) Analysis of brain functions in men with prostate cancer under androgen deprivation therapy: a one-year longitudinal study Life 11(3) 227 https://doi.org/10.3390/life11030227 PMID: 33802213 PMCID: 8000211

42. Sharp L, Morgan E, and Drummond FJ, et al (2018) The psychological impact of prostate biopsy: prevalence and predictors of procedure-related distress Psycho-Oncology 27(2) 500–507 https://doi.org/10.1002/pon.4521

43. Sharpley CF, Bitsika V, and Christie DR (2018) “The worst thing was…”: prostate cancer patients’ evaluations of their diagnosis and treatment experiences Am J Men’s Health 12(5) 1503–9 https://doi.org/10.1177/1557988318772752

44. Sharpley CF, Bitsika V, and Christie DRH, et al (2017) Measuring depression in prostate cancer patients: does the scale used make a difference? Eur J Cancer Care 26(1) e12393

45. Siegel RL, Miller KD, and Wagle NS, et al (2023) Cancer statistics, 2023 CA Cancer J For Clin 73(1) 17–48

46. Smith DP, Calopedos R, and Bang A, et al (2018) Increased risk of suicide in New South Wales men with prostate cancer: analysis of linked population-wide data PLoS One 13(6) 198679

47. Taoka R, Matsunaga H, and Kubo T, et al (2014) Impact of trait anxiety on psychological well-being in men with prostate cancer Int Braz J Urol 40(5) 620–626 https://doi.org/10.1590/S1677-5538.IBJU.2014.05.06 PMID: 25498273

48. Tavlarides AM, Ames SC, and Diehl NN, et al (2013) Evaluation of the association of prostate cancer‐specific anxiety with sexual function, depression and cancer aggressiveness in men 1 year following surgical treatment for localized prostate cancer Psycho‐Oncology 22(6) 1328–1335 https://doi.org/10.1002/pon.3138

49. United States Cancer Statistics (2022) Cancer Statistics at a Glance [https://gis.cdc.gov/Cancer/USCS/?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcancer%2Fdataviz%2Findex.htm#/AtAGlance/ ] Date accessed: 29/08//2023

50. Venderbos LDF, Aluwini S, and Roobol MJ, et al (2017) Long-term follow-up after active surveillance or curative treatment: quality-of-life outcomes of men with low-risk prostate cancer Qual Life Res 26 1635–1645 https://doi.org/10.1007/s11136-017-1507-7 PMID: 28168601 PMCID: 5420369

51. Watson E, Shinkins B, and Frith E, et al (2016) Symptoms, unmet needs, psychological well-being and health status in survivors of prostate cancer: implications for redesigning follow-up BJU Int 117(6B) E10–E19 https://doi.org/10.1111/bju.13122

52. Watts S, Leydon G, and Birch B, et al (2014) Depression and anxiety in prostate cancer: a systematic review and meta-analysis of prevalence rates BMJ Open 4(3) e003901 https://doi.org/10.1136/bmjopen-2013-003901 PMID: 24625637 PMCID: 3963074

53. Watts S, Leydon G, and Eyles C, et al (2015) A quantitative analysis of the prevalence of clinical depression and anxiety in patients with prostate cancer undergoing active surveillance BMJ Open 5(5) 6674 https://doi.org/10.1136/bmjopen-2014-006674

54. Yu R and Li H (2021) Longitudinal assessment of prevalence and risk factors of anxiety and depression among prostate cancer survivors post-resection Psychiatric Quart 92(3) 995–1009 https://doi.org/10.1007/s11126-020-09869-5

55. Zhang Z, Yang L, and Xie D, et al (2017) Depressive symptoms are found to be potential adverse effects of androgen deprivation therapy in older prostate cancer patients: a 15‐month prospective, observational study Psycho‐Oncology 26(12) 2238–2244 https://doi.org/10.1002/pon.4453 PMID: 28474429


Supplementary tables

Supplementary Table 1. The scoring criteria used to determine the methodological quality of included studies.

Supplementary Table 2. Quality rating of included studies per overall score.

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