Abstract
Background
Living with breast cancer has been associated with increased risk for common mental health problems including depression and anxiety. However, the prevalence of comorbid anxiety and depression (CAD) and their associated factors have received little attention especially in low- and middle-income countries (LMICs) including Ghana.
Objectives
This study examined the prevalence of CAD and its correlates in the context of breast cancer.
Methods
Participants were 205 women receiving care for breast cancer at a Tertiary Hospital in Ghana. The Hospital Anxiety and Depression Scale (HADS) and socio-demographic questionnaires were administered to the participants.
Results
Findings from the study showed that the prevalence of CAD, anxiety and depression was 29.4%, 48.5% and 37.3% respectively. CAD was significantly predicted by patients' English language reading ability, shared decision making and good doctor-patient relationship. Anxiety was significantly predicted by shared decision making and good doctor-patient relationship whereas depression was significantly predicted educational status, patients' English language reading ability, shared decision making and good doctor-patient relationship.
Conclusion
The findings suggest relatively high prevalence of comorbid anxiety and depression which could negatively impact breast cancer treatment outcomes and therefore, improved interpersonal relationships between doctors and their patients as well as literacy skills are warranted.
Keywords: Breast cancer, depression, anxiety, doctor-patient relationship, shared decision making, Ghana
Introduction
Breast cancer is of the leading cancer types diagnosed among women and contributes to major disease burden1. Global mortality and morbidity rates contribute to substantial loss to the individual and society as a whole. However, advances in treatment strategies and preventive measures have led to improved survival chances. The treatment strategies have their associated complications ranging from physical, psychosocial, economic to spiritual distortions2, 3. For example, it has been reported that cancer patients experience physical health complications, psychological problems, social problems and economic challenges4, 5.
Mental health problems have been reported among breast cancer patients with the most prevalent ones being anxiety and depression6, 7. For instance, a systematic review revealed a global prevalence of depression among breast cancer patients to be 32.2% in studies from 30 countries6. A recent systematic review reported 41% prevalence of anxiety among women living with breast cancer7. These high rates of anxiety and depression pose a significant challenge to breast cancer management as the presence of anxiety and depression could interfere with treatment and overall health outcomes. Evidence in the oncology literature suggests that increased anxiety and depression levels among women living with breast cancer are predictive of poor quality of life and overall health outcomes8.
Some important socio-demographic and health system related factors are reported to be significantly associated with the presence of anxiety and depression among women living with breast cancer. Women's socio-demographic characteristics such as age, education, marital status, religions, employment status and incomes have been found to be significantly associated with the presence of anxiety and depression9–11. It has also been reported that the doctor- patient relationship and patients' involvement in their healthcare decision making contribute to the overall health and wellbeing including improved quality of life12. Patients' involvement and good relationships with their healthcare providers may serve to lessen the uncertainties that surround breast cancer and its treatment outcomes. The current study seeks to examine the prevalence of comorbid anxiety and depression (CAD), depression and anxiety among women living with breast cancer as most of the previous studies focused on either anxiety or depression in isolation. Co-occurrence of anxiety and depression in breast cancer patients may worsen their plight as the symptoms of these common mental health problems negatively affect treatment outcomes. The associated factors of CAD have also been examined to highlight the key risk and protective factors of the probability of experiencing co-occurrence of anxiety and depression among women living with breast cancer.
Methods
Participants and research design
Two hundred and five (205) womenreceiving care for breast cancer at the Korle-Bu Teaching Hospital were sampled. The participants had an average age of 52.49 years with majority being married (67.8%). About 90% of the participants identified as Christians and majority were employed (61%). A cross-sectional survey design was used as the main study design as a cross-section of the women receiving care for breast cancer was sampled for this study. Ethical clearance was sought from the Institutional Review Board of the Korle-Bu Teaching Hospital (KBTH-IRB/00035/2016) and all ethical guidelines were strictly adhered to in the study.
Measures
Depression and anxiety were measured with the 14-item Hospital depression and anxiety scale13. This questionnaire has two sub-scales with 7-items each measuring depression and anxiety respectively with a 4-point Likert scale (0–3). A cut-off score of 8 and above out of 21 was classified as a case of depression and anxiety.
Shared decision making was measured with a single item (“Do you feel that you have been involved by your doctors/nurses in your treatment decision making?”) with a Yes/No response. Doctor-patient relationship was measured with the Doctor-Patien Relationship Questionnaire14 consisting of 9 items. The total score ranged between 9 and 45 and the mean score was used as a cut-off for good vs. poor doctor-patient relationship.
The other socio-demographic variables were assessed with a demographic questionnaire consisting of age, duration of illness, treatment, English language ability, Religion, comorbidities among others.
Data Analysis
Descriptive statistics such as frequencies and means were used to summarize the data. Bivariate and multivariate associations between the correlates and the outcome variables (CAD, Anxiety and Depression) were done using chi-square and logistic regression (Unadjusted and Adjusted Odd Ratios) at the 0.05 level of significance.
Results
Results from the analysis showed prevalence rates of 29.4%, 48.5% and 37.3% of CAD, anxiety and depression respectively. From the chi-square Table 1, it was observed that education status (χ2 = 3.739, p = .05), English language reading ability (χ2 = 7.218, p = .01), shared decision making (χ2 = 18.314, p < .01) and doctor-patient relationship (χ2 = 12.152, p < .01) were significantly associated with the presence of CAD among the participants.
Table 1.
Bivariate associations between socio-demographic characteristics and CAD in breast cancer
Variables | Sample (205) | CAD | χ2 | ρ | |
Age (195)a | |||||
Below 50years | 44.1% | (26/88) 29.5% | .003 | .96 | |
50years+ | 55.9% | (32/107) 29.9% | |||
Marital status (197)a | |||||
Married | 67.8% | (38/137) 27.7% | .629 | .53 | |
Unmarried | 32.2% | (20/60) 33.3% | |||
Education (197)a | |||||
Formal | 89.3% | (48/176) 27.3% | 3.739 | .05* | |
No formal | 10.7% | (10/21) 47.6% | |||
Employment (196)a | |||||
Employed | 61.3% | (33/122) 27.0% | 1.003 | .40 | |
Unemployed | 38.7% | (25/74) 33.8% | |||
Average monthly income (197)a | |||||
Less than $100 | 48.3% | (28/95) 29.5% | .001 | .99 | |
$100 or more | 51.7% | (30/102) 29.4% | |||
Religion (197)a | |||||
Christian | 89.8% | (51/176) 29.0% | .171 | .87 | |
Non-Christian | 10.2% | (7/21) 33.3% | |||
Comorbid medical condition (194)a | |||||
Yes | 38.1% | (20/75) 26.7% | .434 | .62 | |
No | 61.9% | (37/119) 31.1% | |||
English reading ability (196)a | |||||
Yes | 70.1% | (33/138) 23.9% | 7.218 | .01** | |
No | 29.9% | (25/58) 43.1% | |||
Shared decision making (196)a | |||||
Yes | 84.2% | (38/164) 23.2% | 18.314 | <.01*** | |
No | 15.85 | (19/31) 61.3% | |||
Doctor-patient relationship (196)a | |||||
Poor | 58.8% | (45/115) 39.1% | 12.152 | <.01*** | |
Good | 41.2% | (13/81) 16.0% |
CAD= Comorbid anxiety and depression
missing values observed
significant at .05)
Results from Table 2 showed that only shared decision making (χ2 = 5.345, p =02) and doctor-patient relationship (χ2 = 10.051, p < .01) were significantly associated with the presence of anxiety among the participants.
Table 2.
Bivariate associations between socio-demographic characteristics and anxiety in breast cancer
Variables | Anxiety | χ2 | ρ | |
Age (198)a | ||||
Below 50years | (48/88) 54.5% | 1.956 | .21 | |
50years+ | (49/110) 44.5% | |||
Marital status (200)a | ||||
Married | (67/137) 48.9% | .029 | .99 | |
Unmarried | (30/63) 47.6% | |||
Education (200)a | ||||
Formal | (84/178) 47.2% | 1.110 | .41 | |
No formal | (13/22) 59.1% | |||
Employment (199)a | ||||
Employed | (60/125) 48.0% | .074 | .90 | |
Unemployed | (37/74) 50.0% | |||
Average monthly income (200)a | ||||
Less than $100 | (47/97) 48.5% | .001 | .99 | |
$100 or more | (50/103) 48.5% | |||
Religion (200)a | ||||
Christian | (85/179) 47.5% | .702 | .54 | |
Non-Christian | (12/21) 57.1% | |||
Comorbid medical condition (197)a | ||||
Yes | (37/75) 49.3% | .060 | .92 | |
No | (58/122) 47.5% | |||
English reading ability (199)a | ||||
Yes | (63/139) 45.3% | 2.158 | .19 | |
No | (34/60) 56.7% | |||
Shared decision making (198)a | ||||
Yes | (74/166) 44.6% | 5.345 | .02* | |
No | (22/32) 68.8% | |||
Doctor-patient relationship (199)a | ||||
Poor | (69/118) 58.5% | 10.051 | <.01*** | |
Good | (28/81) 34.6% |
missing values observed
significant at .05
It was observed from Table 3 that education status (χ2 = 4.946, p = .03), English language reading ability (χ2 = 13.272, p < .01), shared decision making (χ2 = 24.198, p < .01) and doctor-patient relationship (χ2 = 8.758, p < .01) were significantly associated with the presence of depression among the participants.
Table 3.
Bivaria te associations between socio-demographic characteristics and depression in breast cancer
Variables | Depression | χ2 | ρ | |
Age (198)a | ||||
Below 50years | (32/88) 36.4% | .013 | .91 | |
50years+ | (42/110) 38.2% | |||
Marital status (201)a | ||||
Married | (48/139) 34.5% | 1.130 | .29 | |
Unmarried | (27/62) 43.5% | |||
Education (201)a | ||||
Formal | (62/180) 34.4% | 4.946 | .03* | |
No formal | (13/21) 61.9% | |||
Employment (200)a | ||||
Employed | (42/122) 34.4% | .947 | .33 | |
Unemployed | (33/78) 42.3% | |||
Average monthly income (201)a | ||||
Less than $100 | (36/97) 37.1% | .003 | .96 | |
$100 or more | (39/104) 37.5% | |||
Religion (201)a | ||||
Christian | (65/180) 36.1% | .630 | .42 | |
Non-Christian | (10/21) 47.6% | |||
Comorbid medical condition (198)a | ||||
Yes | (28/77) 36.4% | .007 | .93 | |
No | (46/121) 38.0% | |||
English reading ability (200)a | ||||
Yes | (41/141) 29.1% | 13.272 | <.01** | |
No | (34/59) 57.6% | |||
Shared decision making (199)a | ||||
Yes | (49/168) 29.2% | 24.198 | <.01** | |
No | (24/31) 77.4% | |||
Doctor-patient relationship (200)a | ||||
Poor | (54/116) 46.6% | 8.758 | <.01*** | |
Good | (21/84) 25.0% | |||
missing values observed
significant at .05)
Table 4: Multivariate associations between socio-demographic factors and CAD in breast cancer
Table 4.
Multivariate associations between socio-demographic factors and CAD in breast cancer
Variables | CAD | Anxiety | Depression | ||||
OR | AOR | OR | AOR | OR | AOR | ||
Age in years | |||||||
Below 50years | 1 | 1 | 1 | 1 | 1 | 1 | |
50years+ | .98 (.53 –1.82) | .92 (.42–2.00) | .67 (.38–1.18) | .59 (.30–1.17) | 1.08 (.61–1.93) | .84 (.39–1.83) | |
Marital status | |||||||
Married | 1 | 1 | 1 | 1 | 1 | 1 | |
Unmarried | .77 (.34–1.48) | .68 (.31–1.51) | .95 (.52–1.73) | .93 (.47–1.85) | .68 (.37–1.26) | .60 (.27–1.29) | |
Education | |||||||
No formal | 1 | 1 | 1 | 1 | 1 | 1 | |
Formal | .41 (.17–1.00) | .84 (.24–2.96) | .62 (.25–1.52) | 1.04 (.32–3.38) | .32* (.13–.82) | .72 (.20–2.58) | |
Employment status | |||||||
Unemployed | 1 | 1 | 1 | 1 | 1 | 1 | |
Employed | .73 (.34–1.34) | .70 (.31–1.57) | .92 (.52–1.64) | .83 (.41–1.68) | .72 (.40–1.28) | .63 (.29–1.39) | |
Average monthly income (USD$) | |||||||
Less than $100 | 1 | 1 | 1 | 1 | 1 | 1 | |
$100 or more | .99 (.54–1.84) | 1.39 (.63–3.07) | 1.00 (.58–1.75) | 1.12 (.57–2.20) | 1.02 (.57–1.80) | 1.59 (.74–3.42) | |
Religion | |||||||
Non-Christian | 1 | 1 | 1 | 1 | 1 | 1 | |
Christian | .82 (.31–2.14) | 1.24 (.36–4.35) | .68 (.27–1.69) | .84 (.28–2.48) | .62 (.25–1.54) | .96 (.29–1.39) | |
Comorbid medical condition | |||||||
No | 1 | 1 | 1 | 1 | 1 | 1 | |
Yes | .81 (.42–1.53) | .75 (.34–1.65) | 1.07 (.60–1.91) | 1.21 (.62–2.38) | .93 (.52–1.68) | 1.04 (.49–2.21) | |
English reading ability | |||||||
No | 1 | 1 | 1 | 1 | 1 | 1 | |
Yes | .42** (.22–.80) | .31** (.12–.77) | .63 (.34–1.17) | .47 (.21–1.08) | .30*** (.16–.57) | .25** (.10–.62) | |
Shared decision making | |||||||
No | 1 | 1 | 1 | 1 | 1 | 1 | |
Yes | .19*** (.09–.43) | .26** (.10–.64) | .37* (.16–.82) | .48 (.19–1.19) | .12*** (.05–.30) | .12** (.04–.34) | |
Doctor-patient relationship | |||||||
Poor | 1 | 1 | 1 | 1 | 1 | 1 | |
Good | .30** (.15–.60) | .36 (.16–.80) | .38** (.21–.67) | .41** (.22–.80) | .38** (.21–.71) | .52 (.25–1.10) |
Results from logistic regression analysis (Table 4) showed that participants with English language reading ability were 58% less likely to report CAD, participants who felt involved in their treatment decision making were 81% less likely to experience CAD and participants who reported a good doctor-patient relationship were 70% less likely to experience CAD in the unadjusted model but only shared decision making and doctor-patient relationship remained significant in the adjusted model. For anxiety, it was observed that participants who felt involved in their treatment decision making were 63% less likely to experience anxiety and participants who reported a good doctor-patient relationship were 62% less likely to experience anxiety in the unadjusted model but only doctor-patient relationship remained significant in the adjusted model. For depression, it was observed that participants with formal education were 68% less likely to experience depression, participants with English language reading ability were 70% less likely to report depression, participants who felt involved in their treatment decision making were 88% less likely to experience depression and participants who reported a good doctor-patient relationship were 62% less likely to experience depression in the unadjusted model but only English language reading ability and shared decision making remained significant in the adjusted model.
Discussion
Findings from the study showed relatively high prevalence of common mental health problems among women receiving care for breast cancer with prevalence rates of 29.4%, 48.5% and 37.3% of CAD, anxiety and depression respectively. These high rates of common mental health problems reported in this study are consistent with previous literature on depression and anxiety among women living with breast cancer6,7. However, the prevalence of CAD in the study was lower than 87% anxiety-depressive syndrome (ADS) reported among breast cancer patients in Morocco4. The disparities could be due to differences in the socio-economic and other prevailing circumstances in the two countries. The Moroccan study period coincided with the COVID-19 which might explain some of the variations in the prevalence rates.
Evidence from this study showed that educational status, English language reading ability, shared decision making and good doctor-patient relationship were significant predictors of CAD, anxiety and depression. Participnts with English reading ability, involved by the healthcare providers in their treatment decisions and good doctor-patient relationship were less likely to experience comorbid anxiety and depression. The findings showed similar predictors for the common mental problems except for depression with formal education being a protective factor against the experience of depression. The role of doctor-patient relationship and shared decision making in health outcomes has been reported in some studies among women living with breast cancer12, 15, 16.
Limitations
This study is limited by the relatively small sample size used and data from only one oncology centre which may not reflect what pertains in other parts of the country. Despite these limitations, this study is an exploratory one which is likely to serve as basis for a multicentre study exploring mental health issues and their associated factors on a large scale.
Conclusion
This study highlights the burden of common mental health problems especially comorbid anxiety and depression (CAD) among women receiving medical care for breast. There is the need for regular psychological screening as part of routine oncology care using brief mental health assessment tools such Distress Thermometer (DT) to inform treatment decisions and appropriate referrals.
Conflict of Interest
The author has no conflict of interest to declare
References
- 1.Fitzmaurice C, Abate D, Abbasi N, Abbastabar H, Abd-Allah F, Abdel-Rahman O, Abdelalim A, Abdoli A, Abdollahpour I, Abdulle AS, Abebe ND. Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 29 cancer groups, 1990 to 2017: a systematic analysis for the global burden of disease study. JAMA Oncology. 2019;5(12):1749–1768. doi: 10.1001/jamaoncol.2019.2996. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Bonsu AB, Aziato L, Clegg-Lamptey JN. Living with advanced breast cancer among Ghanaian women: emotional and psychosocial experiences. International Journal of Palliative Care. 2014;2014 [Google Scholar]
- 3.Kugbey N, Meyer-Weitz A, Oppong Asante K, Yarney J, Vanderpuye V. Lived Experiences of Women Receiving Medical Treatments for Breast Cancer in Ghana: A Qualitative Study. SAGE Open. 2021;11(3):21582440211045077. [Google Scholar]
- 4.Aquil A, Mouallif M, Daghi M, Guerroumi M, Benider A, Jayakumar AR, Elgot A. Anxiety and Depression Comorbidities in Moroccan Patients With Breast Cancer. Frontiers in Psychiatry. 2021:1478. doi: 10.3389/fpsyt.2020.584907. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.İzci F, İlgün A, Fındıklı E, Özmen V. Psychiatric Symptoms and Psychosocial Problems in Patients with Breast Cancer. The Journal of Breast Health. 2016;12(3):94–101. doi: 10.5152/tjbh.2016.3041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Pilevarzadeh M, Amirshahi M, Afsargharehbagh R, Rafiemanesh H, Hashemi S, Balouchi A. Global prevalence of depression among breast cancer patients: a systematic review and meta-analysis. Breast Cancer Research and Treatment. 2019;176(3):519–533. doi: 10.1007/s10549-019-05271-3. [DOI] [PubMed] [Google Scholar]
- 7.Hashemi S-M, Rafiemanesh H, Aghamohammadi T, Badakhsh M, Amirshahi M, Sari M, et al. Prevalence of anxiety among breast cancer patients: a systematic review and meta-analysis. Breast Cancer. 2020;27(2):166–178. doi: 10.1007/s12282-019-01031-9. [DOI] [PubMed] [Google Scholar]
- 8.Kugbey N, Asante KO, Meyer-Weitz A. Depression, Anxiety and Quality of Life Among Women Living With Breast Cancer in Ghana: Mediating Roles of Social Support and Religiosity. Supportive care in cancer: official journal of the Multinational Association of Supportive. Care in Cancer. 2020;28(6):2581–2588. doi: 10.1007/s00520-019-05027-1. [DOI] [PubMed] [Google Scholar]
- 9.Beatty L, Kissane D. Cancer Forum. 2017. Anxiety and depression in women with breast cancer. [Google Scholar]
- 10.Hassan MR, Shah SA, Ghazi HF, Mujar NMM, Samsuri MF, Baharom N. Anxiety and depression among breast cancer patients in an urban setting in Malaysia. Asian Paci Journal of Cancer Prevention. 2015;16(9):4031–4035. doi: 10.7314/apjcp.2015.16.9.4031. [DOI] [PubMed] [Google Scholar]
- 11.Tsaras K, Papathanasiou IV, Mitsi D, Veneti A, Kelesi M, Zyga S, et al. Assessment of Depression and Anxiety in Breast Cancer Patients: Prevalence and Associated Factors. Asian Pacific Journal of Cancer Prevention. 19(6):1661–1669. doi: 10.22034/APJCP.2018.19.6.1661. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Kugbey N, Oppong Asante K, Meyer-Weitz A. Doctor-patient relationship mediates the effects of shared decision making on health-related quality of life among women living with breast cancer. South African Journal of Psychology. 2019;49(3):364–375. [Google Scholar]
- 13.Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta psychiatrica scandinavica. 1983;67(6):361–370. doi: 10.1111/j.1600-0447.1983.tb09716.x. [DOI] [PubMed] [Google Scholar]
- 14.Van der Feltz-Cornelis CM, Van Oppen P, Van Marwijk HW, De Beurs E, Van Dyck R. A patient-doctor relationship questionnaire (PDRQ-9) in primary care: development and psychometric evaluation. General hospital psychiatry. 2004;26(2):115–120. doi: 10.1016/j.genhosppsych.2003.08.010. [DOI] [PubMed] [Google Scholar]
- 15.Farin E, Nagl M. The patient-physician relationship in patients with breast cancer: influence on changes in quality of life after rehabilitation. Quality of Life Research. 2013;22(2):283–294. doi: 10.1007/s11136-012-0151-5. [DOI] [PubMed] [Google Scholar]
- 16.Vogel BA, Leonhart R, Helmes AW. Communication matters: the impact of communication and participation in decision making on breast cancer patients' depression and quality of life. Patient education and counseling. 2009;77(3):391–397. doi: 10.1016/j.pec.2009.09.005. [DOI] [PubMed] [Google Scholar]