Skip to main content
Journal of Taibah University Medical Sciences logoLink to Journal of Taibah University Medical Sciences
. 2021 Mar 17;16(4):497–503. doi: 10.1016/j.jtumed.2021.01.013

Prevalence of depression, trait anxiety, and social support during the diagnostic phases of breast cancer

Nor Zuraida Zainal a, Chong Guan Ng a,, Angelvene Wong b, Beatrice Andrew c, Nur Aishah Mohd Taib d, Sue-Yin Low a
PMCID: PMC8348272  PMID: 34408606

Abstract

Objective

This study aims to determine the prevalence of depression, trait anxiety, and social support among women suspected of breast cancer (BC) and to investigate the association of these factors with the diagnosis of BC.

Methods

A cross-sectional study was conducted on 745 women who presented with breast symptoms in a university breast clinic in Malaysia. Participants were instructed to respond to self-report questionnaires on depression, trait anxiety, and social support while they were waiting for assessment of their suspected BC. The final diagnoses of these patients were traced one month after examining their medical records. Descriptive statistics were performed to examine the socio-demographic and clinical characteristics of all participants. A multiple regression analysis was carried out to determine the association of the abovementioned factors with the diagnosis of BC.

Results

The analysis showed that BC was diagnosed in 109 (14.6%), benign breast disease (BBD) in 550 (73.8%), and healthy breast (HB) in 86 (11.5%) women. The prevalence of depression was 53.2% in women with BC, 53.6% in women with BBD, and 60.5% in women with HB prior to diagnosis. The prevalence of trait anxiety was 33%. Mean scores for trait anxiety were 42.2 ± 9.0 and 41.8 ± 9.1 for the BC group and BBD group, respectively. The level of perceived social support was similar in all three groups.

Conclusion

We found no significant difference in depression, trait anxiety, and social support among women with newly diagnosed BC, BBD, and HB in women with breast symptoms while undergoing diagnostic evaluation. A longitudinal study is essential to establish the association between chronic mental stress and BC.

Keywords: Breast cancer, Depression, Pre-diagnosis, Social support, Trait anxiety

Introduction

Common presentations of breast disease in outpatient clinics are breast lumps, breast pain, swelling and inflammation, nipple discharge, breast distortion, and scaling nipple.1, 2, 3 Identification of these signs or symptoms reported by women may indicate underlying breast cancer (BC) in those with abnormal mammograms,3 with further histopathology diagnostic procedures possibly confirming the diagnosis. It is estimated that 1 in 20 women in Malaysia develop BC in their lifetime, making BC one of the most common cancers among women in the country.4

Undergoing a diagnostic evaluation of suspected cancer and waiting for the results can be very frightening and threatening. There are many well-established studies on depression and anxiety following the diagnosis of BC or among BC survivors.5, 6, 7, 8 In a systematic review, the prevalence of depression among BC survivors was reported to be between 13% and 56%.9 Studies have found that this is due in part to the uncertainty of the situation and the knowledge that painless breast lumps are highly indicative of malignant BC, which can often trigger high levels of distress, anxiety, and depressive symptoms.10,11 Additionally, high levels of psychological distress were identified in women undergoing breast diagnostic evaluations, where the distress manifested as anxiety.12,13 This is further supported by research findings which indicate that the prevalence of anxiety is often high among patients awaiting diagnostic procedures.14,15 This may be further exacerbated by an individual's trait anxiety, which has been found to largely impact the experience of psychological distress.16

Hilakivi-Clarke et al.17 proposed that factors such as the number of stressful events and their significance to the individual, personality characteristics, and social support may play a more crucial role in the development of mammary growths than the stressor itself. This implies that an individual's ability to cope with the uncertainty and threat posed by the risk of BC diagnosis could be vital in identifying the potential preventive factors for BC. In the past, researchers have investigated the plausibility of the association among depression, personality types, and life events with the incidence of BC.18, 19, 20 Previous research has even examined social support, which is associated with an individual's coping mechanism with stress.21 However, findings from these studies have been conflicting, ranging from positive associations, negative associations, to even no associations.19,22,23 Furthermore, there exists a gap in research studying the association between social support and the onset of BC, with limited recent studies examining this association and most studies measuring social support at post-diagnosis and not pre-diagnosis.

Therefore, this study aims to determine the prevalence and level of depression, trait anxiety, and the level of social support among women who presented with breast symptoms and were suspected of BC. Furthermore, we aim to investigate whether there exists any association between depression, trait anxiety, and social support at the time of evaluation with subsequent confirmed diagnosis of BC.

Materials and Methods

This cross-sectional study was conducted at a university breast clinic in Malaysia on women who presented with breast symptoms and came for the investigation of suspected BC. These women were either referred to the clinic by their primary care doctors or self-referred. The assessment was performed over a two-year period from March 2013 until December 2015. Ethical approval from the Medical Ethics Committee was obtained before the commencement of the study. The inclusion criteria were as follows: (1) female patients presenting with any breast symptom(s), (2) less than 60 years old, (3) and understanding Malay or English. The exclusion criterion was severely ill patients who were confused or delirious. Every consecutive patient was approached and given a consent form to sign. Patients who consented were given questionnaires to fill in private before their consultation with the surgical team. Diagnoses were made by the breast surgeon based on the clinical presentation, mammogram, and histopathology results. The final confirmed breast diagnosis was traced from the participants’ medical notes after one month. Both the participants and investigators were blinded to the diagnosis at the time the questionnaires were completed.

Measures

The socio-demographic information and clinical symptoms gathered were age, ethnic group, marital status, employment status, breast symptoms (breast lump, swelling, pain, abscess, rash, and other complaints), and duration of the symptoms. Participants could report more than one breast symptom. Hormonal factors, lifestyle, and other variables such as the age of menarche, history of breastfeeding, history of using oral contraceptive pills, history of using hormonal replacement therapy, history of drinking alcohol, history of smoking, and family history of BC were also obtained.

The Center for Epidemiologic Studies–Depression Scale (CES-D) was used to screen for depression.24 The psychometric properties of the CES-D have been studied for women with and without BC in a previous study. The CES-D was found to have good internal consistency, with alpha coefficients > 0.85 for both groups, as well as adequate test-retest reliability.25 Additionally, the 20-item scale has been validated for the Malaysian population.26 The total CES-D score ranges from 0 to 60, with higher scores indicating more depressive symptoms. A cut-off score of ≥16 was used to indicate a ‘case’ of depression.

The State-Trait Anxiety Inventory Form Y-2 (STAI) was used to measure long-standing anxiety experienced by our participants by measuring trait anxiety. Trait anxiety is an individual's predisposition to experiencing anxiety in life-threatening situations and consists of 20 items that are rated on a 4-point Likert scale ranging from 1, ‘never at all’, to 4, ‘almost always’. The total STAI score ranges from 20 to 80. Typical scores for those diagnosed with anxiety fall within the range of 47–61.27 The investigator rated the test as follows: grade I (20–29), seldom anxious; grade II (30–49), sometimes anxious; grade III (50–69), often anxious; and grade IV (70–80), always anxious.28

To assess the level of social support perceived by women in our study, we used the Multidimensional Scale of Perceived Social Support (MSPSS) questionnaire. The MSPSS is a 12-item self-administered scale that measures perceived social support systems from three sources: family, friends, and significant others. The items are rated on a 7-point Likert scale that ranges from 1 for ‘very strongly disagree’ to 7 for ‘very strongly agree’.29,30 This scale enables data to be analysed in four categories: total MSPSS score and total levels of perceived social support in its respective subscale categories; total family score; total friends score; and total significant others score. Both the English and Malay versions of the MSPSS have good internal consistency and reliability.31 As such, both versions of the scale were employed in this study.

Sample size calculations

The sample size, n, was determined using the following formula:32

n=Z2P(1P)d2,

where Z and d were determined to be 1.96 and 0.02, respectively, to achieve a 95% confidence level. P, the expected prevalence, was determined based on a previous study at the UMMC Breast Clinic from 2005 to 2006, where the prevalence of malignancy of all excision biopsies conducted was found to be 8.2%.33 Calculations yielded a required sample size of 722.

Statistical analysis

Data collected from this study were entered and analysed using the Statistical Package for Social Science, SPSS version 22. Descriptive analyses were done for the socio-demographic and clinical characteristics of all participants and also the three groups; namely, participants with BC, BBD, and HB. The means and standard deviations for the depressive symptoms, trait anxiety, and social support of the three groups were presented. For trait anxiety, the percentage of each grade (I, II, III, and IV) was calculated. Lastly, multiple regression analysis was done to determine the significant associated factors for newly diagnosed BC. Normality of data was tested using Kruskal Wallis, and all tests were two-tailed with 0.05 significance level.

Results

A total of 745 women who presented with breast symptoms were included in this study. They came as walk-ins or were referred cases for breast lumps, breast swelling, breast pain, or breast abscess for the assessment and investigation of suspected BC. The mean age of the participants was 35.30 ± 12.14 years. More than half of the participants were Malays (56.1%), followed by Chinese (18.9%), Indians (18.4%), and other races (6.6%). A total of 61.5% were ever married, 60% were employed, 19.2% were housewives, and 88% presented with a breast lump. The majority (89%) of the symptoms were from a unilateral breast. The socio-demographic profiles and clinical presentations of the patients are shown in Table 1.

Table 1.

Socio-demographic profiles and clinical presentations of the participants (n = 745).

Variables Mean + SD N %
Age (years) 35.3 ± 12.1
Age of menarche (years) 12.9 ± 4.5
Age of menopause (years) 49.4 ± 4.6
Ethnic
 Malay 418 56.1
 Chinese 141 18.9
 Indian 137 18.4
 Others 49 6.6
Marital status
 Married 414 55.6
 Single 287 38.5
 Divorcee/separated/widow 44 5.9
Employment
 Employed 443 59.5
 Not employed 20 2.7
 Housewife 143 19.2
 Student 139 18.7
Breast lump
 Yes 655 87.9
 No 90 12.1
Breast swelling
 Yes 132 17.7
 No 613 82.3
Breast pain
 Yes 336 45.1
 No 409 54.9
Breast abscess
 Yes 16 2.1
 No 729 97.9
Breast rash
 Yes 28 3.8
 No 717 96.2
Other symptoms
 Yes 89 11.9
 No 656 88.1
Site of breast symptom
 Right 343 46.0
 Left 320 43.0
 Both 81 10.9
Mean duration of symptoms (weeks) 39.3 ± 95.4
History of breastfeeding
 Yes 226 30.3
 No 519 69.7
History of using oral contraceptive pills
 Yes 97 14.8
 No 557 85.2
History of using hormonal replacement Therapy
 Yes 15 2.3
 No 639 97.7
History of drinking alcohol
 Yes 23 3.5
 No 629 96.5
History of cigarette smoking
 Yes 20 3.1
 No 634 96.9
Positive family history of BC
 Yes 50 6.7
 No 695 93.3
CES-D total score 17.35 ± 9.3
STAI total score 42.1 ± 9.1
MSPSS total score 67.6 ± 10.6

CES-D: Center for Epidemiologic Studies–Depression; RR: risk ratio; STAI: State-Trait Anxiety Inventory Form Y-2; MSPSS: Multidimensional Scale to Perceived Social Support.

Of all the women presenting with breast symptoms for investigation, 405 (54.4%) had depression. The assessment revealed that 243 (32.6%) of the women had trait anxiety. The total score for depression was significantly correlated with the total scores for trait anxiety (r = 0.54, p < 0.001), and social support was negatively correlated with depression (r = −0.28, p < 0.001) and trait anxiety (r = −0.36, p < 0.001).

A total of 109 (14.6%) women presenting with breast symptoms at the university breast clinic received a final diagnosis of BC, while benign breast disease (BBD) was diagnosed in 550 (73.8%) patients and healthy breast (HB) in 86 (11.5%) patients.

Table 2 shows the socio-demographic and clinical characteristics of the three groups. The mean age of participants in the BC group was 47.2 years, which was significantly older than the mean age of participants in the BBD (32.9 years) and HB (35.6 years) groups. Additionally, presenting with a breast lump or breast swelling was significantly associated with subsequent BC diagnosis. History of breastfeeding, history of using oral contraceptive pills, and positive history of BC in family members were also significantly associated with subsequent BC diagnosis.

Table 2.

The socio-demographic and clinical characteristics of the three groups: BC, BBD, and HB.

Variables BC (n = 109) BBD (n = 550) HB (n = 86) p-value
Age (mean, years) 47.2 ± 8.9 32.9 ± 11.4 35.6 ± 11.0 <0.001∗
Age at menarche (mean, years) 12.9 ± 1.2 12.9 ± 5.3 12.8 ± 1.5 0.981
Age at menopause (mean, years) 49.7 ± 4.2 49.4 ± 4.9 48.0 ± 4.6 0.602
Being a Malay 56 (51.4%) 314 (57.1%) 48 (55.8%) 0.546
Being married 74 (67.9%) 280 (50.9%) 60 (69.8%) <0.001∗
Being employed 67 (61.5%) 326 (59.3%) 50 (58.1%) 0.881
Being a housewife 37 (33.9%) 84 (15.3%) 22 (25.6%) <0.001∗
Breast lump 102 (93.6%) 486 (88.4%) 67 (77.9%) 0.003∗
Breast swelling 34 (31.2%) 86 (15.6%) 12 (14.0%) <0.001∗
Breast pain 53 (48.6%) 240 (43.6%) 43 (50.0%) 0.395
Breast abscess 0 (0.0%) 14 (2.5%) 2 (2.3%) 0.244
Breast rash 4 (3.7%) 21 (3.8%) 3 (3.5%) 0.988
Other symptoms 12 (11.0%) 63 (11.5%) 14 (16.3%) 0.416
Unilateral breast symptom 106 (97.2%) 479 (87.1%) 78 (91.8%) 0.006∗
Duration of symptoms (mean, weeks) 28.0 ± 39.6 42.0 ± 95.0 35.6 ± 1138.1 0.356
History of breastfeeding 47 (43.1%) 148 (26.9%) 31 (36.0%) 0.002∗
History of using OCP 23 (22.5%) 58 (12.2%) 16 (21.3%) 0.007∗
History of using HRT 4 (3.9%) 8 (1.7%) 3 (3.9%) 0.231
History of drinking alcohol 4 (3.9%) 16 (3.4%) 3 (3.9%) 0.948
History of cigarette smoking 5 (4.9%) 13 (2.7%) 2 (2.6%) 0.499
Positive family history of BC 13 (11.9%) 30 (5.5%) 7 (8.1%) 0.041∗

OCP: oral contraceptive pill; HRT: hormone replacement therapy; ∗ statistically significant difference.

We also found that 58 (53.2%) of the women diagnosed with BC had depression, while 295 (53.6%) of the BBD patients had depression. Table 3 shows the mean total scores for depression, trait anxiety, and social support among the three groups. The levels of depression were high for all three groups and were not significantly different from each other. Similarly, there were no significant differences in the mean total scores for trait anxiety and perceived social support in the BC, BBD, and HB groups. Those diagnosed with BC had a mean total score for trait anxiety of 42.2 ± 9.0 and 41.8 ± 9.1 for the BBD group. The level of perceived social support was also similar in all the three groups. Table 4 shows the severity of trait anxiety in the BC, BBD, and HB groups.

Table 3.

Depressive symptoms, trait anxiety, and social support of the three groups: BC, BBD, and HB.

Variables BC (n = 109) BBD (n = 550) HB (n = 86) p-value
CES-D total score (mean ± SD) 17.3 ± 9.1 17.3 ± 9.5 17.6 ± 8.6 0.947
STAI total score (mean ± SD) 42.2 ± 9.4 41.8 ± 9.1 43.6 ± 8.6 0.259
MSPSS total score (mean ± SD) 68.0 ± 9.8 67.5 ± 10.8 67.4 ± 10.6 0.873
Family (mean ± SD) 23.6 ± 3.7 23.5 ± 4.2 23.2 ± 4.6 0.747
Friends (mean ± SD) 21.1 ± 4.5 21.0 ± 4.4 20.9 ± 4.4 0.943
Significant others (mean ± SD) 23.2 ± 4.2 23.0 ± 4.6 23.2 ± 4.5 0.862

CES-D: Center for Epidemiologic Studies–Depression; STAI: State-Trait Anxiety Inventory Form Y-2; MSPSS: Multidimensional Scale to Perceived Social Support.

Table 4.

The severity of trait anxiety (Spielberger trait) in the BC, BBD, and HB groups.

Severity of the trait anxiety level BC n = 109 (100%) BBD n = 550 (100%) HB n = 86 (100%) p-value (Overall)
Gr I (seldom) 10 (9.2) 54 (9.8) 6 (7.0) 0.89
Gr II (sometimes) 76 (69.7) 378 (68.9) 57 (66.3)
Gr III (often) 23 (21.1) 116 (21.1) 23 (26.7)
Gr IV (always) 0 1 (0.2) 0

Further multivariate analysis (Table 5) showed that older age, history of being married, symptom(s) of breast swelling, and breast lump(s) were significantly associated with the incidence of BC. The level of depression, anxiety, and perceived social support during the time of evaluation, however, were not associated with the incidence of BC.

Table 5.

Multiple regression analyses of the factors predicting newly diagnosed BC.

Model Standardised coefficients beta t Significance
(Constant) 9.303 0.000
Age -.391 −9.365 0.000
Married .157 3.663 0.000
Housewife .006 .153 .879
Breast lump .163 4.637 0.000
Breast swelling .121 3.479 0.001
Unilateral site -.028 -.818 .414
Breast feeding .042 1.078 .281
Family history of BC -.035 −1.008 .341
MSPSS -.128 -.347 .729
Significant others' support .075 .462 .644
Family support -.017 -.115 .908
Friends' support .059 .375 .707
CES-D -.016 -.382 .702
STAI .020 .460 .646

Dependent variable: Diagnosis

CES-D: Center for Epidemiologic Studies–Depression; STAI: State-Trait Anxiety Inventory Form Y-2; MSPSS: Multidimensional Scale to Perceived Social Support.

Discussion

Slightly more than half of the women presenting with breast symptoms in this study experienced clinical depression irrespective of their final diagnosis. Our findings support those of several studies which reported the prevalence of depression before the diagnosis of BC.11,28,34 For instance, Montazeri et al., in their study on Iranian BC patients, stated that the prevalence of depression at pre-diagnosis was 38%, irrespective of diagnoses, with no significant changes at follow-up post-diagnosis.34 Regarding the association between depression and the incidence of BC, we found no significant association between depression and subsequent diagnosis. Similarly, the Kuopio Breast Cancer study in Finland that involved a smaller cohort of patients concluded that there was no association between depression and newly diagnosed BC during the diagnostic period.28 This corroborates the findings from a meta-analysis by Sun et al.,35 which found that epidemiological studies often do not indicate the presence of any association between depression and BC incidence as compared to experimental studies and clinical evidence, which inversely suggest positive associations.

Waiting for diagnostic procedures for suspected BC has been found to lead to a higher prevalence of anxiety.15 One-quarter of the women in this study had trait anxiety, which has been found to predict a higher level of distress in BC patients.12,13,16,36 However, there was no association between trait anxiety and BC incidence. This is consistent with a larger prospective cohort study.37 Additionally, we found no difference in the prevalence of trait anxiety between the respective diagnoses.

In our study, we found social support to be significantly negatively correlated with depression and trait anxiety. As such, this finding potentially supports the literature suggesting that high levels of social support could protect against the risk of BC.17 However, this still remains unconfirmed as there is likely a more complicated relationship between the two; social support is not directly related to BC risk but may be related to it via other factors.17,21,38 For instance, it was reported that women's perceptions of social support availability could protect them against some adverse emotional consequences of heightened BC risk perceptions.21 Social support, along with emotional responses and defence mechanisms, have additionally been found to influence the level of uncertainty while waiting for definitive diagnoses.10 Given this, it might be beneficial to examine the moderation relationship among these variables and BC incidence.

The risk of BC is attributed to a combination of factors. In this study, we found that older age is associated with the incidence of cancer, which is in line with previous research where BC is mostly seen in women over 50 years of age.39 Our results also showed that a history of marriage, symptoms of breast swelling, and breast lumps are statistically associated with the incidence of BC. This finding warrants caution that all married women get regular breast examinations or screenings to detect early breast symptoms or cancer as early detection increases the likelihood of receiving suitable treatment before the advancement of the disease.

There are several limitations to the current study. For instance, participants were recruited from a single centre, and therefore, the results may not be generalised to all women with breast symptoms. Additionally, this study employs a cross-sectional design, and as such, we are unable to describe any causal links between the variables. Another limitation of the study is that we neglected to examine state anxiety, which may shed some light on the lack of significance in the relationships studied. Other risk factors of cancer that may be of concern were not included in the study, such as obesity, alcohol consumption, lifestyle, and diet patterns.

Conclusion

This study found that women who attended the clinic with breast symptoms, regardless of a final diagnosis of BC, BB, or HB, had a similar level of depression, trait anxiety, and social support during the diagnostic period. Additionally, we did not find depression, trait anxiety, and social support to be associated with BC. Nonetheless, a high proportion of depressed patients and patients with high trait anxiety were found among women with breast symptoms. This number is appalling, and earlier psychological intervention would be beneficial for these women.

Recommendations

Screening for anxiety and depression among women who presented with breast symptoms.

Monitoring the mental health status of women with breast symptoms.

It may be beneficial for future studies to investigate the association between depression, anxiety, and symptom manifestation in BC.

Source of funding

The authors would like to acknowledge financial support from the University Malaya Research Program grant RP012/2012A.

Conflict of interest

The authors have no conflict of interest to declare.

Ethical approval

Ethical approval was obtained from the Medical Ethics Committee, University of Malaya Medical Centre (MEC-UMMC), before the commencement of the study. Ethical Approval number: 1059.57, Ethical body: MEC, UMMC, Date: 17th April 2014.

Authors contributions

NZZ and NCG conceived and designed the study, AW and BA collected the data, NAMT contributed the participants for study, NZZ analysed the data and wrote the first draft of the manuscript, and LSY reviewed and edited the paper. All authors have critically reviewed and approved the final draft and are responsible for the content and similarity index of the manuscript.

Acknowledgment

The authors would like to acknowledge financial support from the University Malaya Research Program grant RP012/2012A. Moreover, the authors also would like to thank the staff at the Breast Clinic in University Malaya Medical Centre for helping organise the data collection by the investigators.

Footnotes

Peer review under responsibility of Taibah University.

References

  • 1.Dixon J.M., Mansel R.E. ABC of breast diseases. Symptoms assessment and guidelines for referral. BMJ. 1994;309(6956):722–726. doi: 10.1136/bmj.309.6956.722. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Foxcroft L.M., Evans E.B., Hirst C., Hicks B.J. Presentation and diagnosis of adolescent breast disease. Breast. 2001;10(5):399–404. doi: 10.1054/brst.2001.0292. [DOI] [PubMed] [Google Scholar]
  • 3.Williams R.S., Brook D., Monypenny I.J., Gower-Thomas K. The relevance of reported symptoms in a breast screening programme. Clin Radiol. 2002;57(8):725–729. doi: 10.1053/crad.2001.0910. [DOI] [PubMed] [Google Scholar]
  • 4.Yip C.H., Taib N.A., Mohamed I. Epidemiology of breast cancer in Malaysia. Asian Pac J Cancer Prev APJCP. 2006;7(3):369–374. [PubMed] [Google Scholar]
  • 5.Faller H., Strahl A., Richard M., Niehues C., Meng K. Symptoms of depression and anxiety as predictors of physical functioning in breast cancer patients. A prospective study using path analysis. Acta Oncol. 2017;56(12):1677–1681. doi: 10.1080/0284186X.2017.1333630. [DOI] [PubMed] [Google Scholar]
  • 6.Izci F., Ilgun A.S., Findikli E., Ozmen V. Psychiatric symptoms and psychosocial problems in patients with breast cancer. J Breast Health. 2016;12(3):94–101. doi: 10.5152/tjbh.2016.3041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Maass S.W., Roorda C., Berendsen A.J., Verhaak P.F.M., de Bock G.H. The prevalence of long-term symptoms of depression and anxiety after breast cancer treatment: a systematic review. Maturitas. 2015;82(1):100–108. doi: 10.1016/j.maturitas.2015.04.010. [DOI] [PubMed] [Google Scholar]
  • 8.Ng C.G., Mohamed S., See M.H., Harun F., Dahlui M., Sulaiman A.H. Anxiety, depression, perceived social support and quality of life in Malaysian breast cancer patients: a 1-year prospective study. Health Qual Life Outcome. 2015;13:205. doi: 10.1186/s12955-015-0401-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Zainal N.Z., Nik-Jaafar N.R., Baharudin A., Sabki Z.A., Ng C.G. Prevalence of depression in breast cancer survivors: a systematic review of observational studies. Asian Pac J Cancer Prev APJCP. 2013;14(4):2649–2656. doi: 10.7314/apjcp.2013.14.4.2649. [DOI] [PubMed] [Google Scholar]
  • 10.Montgomery M. Uncertainty during breast diagnostic evaluation: state of the science. Oncol Nurs Forum. 2010;37(1):77–83. doi: 10.1188/10.ONF.77-83. [DOI] [PubMed] [Google Scholar]
  • 11.Moseholm E., Rydahl-Hansen S., Overgaard D., Wengel H.S., Frederiksen R., Brandt M. Health-related quality of life, anxiety and depression in the diagnostic phase of suspected cancer, and the influence of diagnosis. Health Qual Life Outcome. 2016;14:80. doi: 10.1186/s12955-016-0484-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Harding M.M. Incidence of distress and associated factors in women undergoing breast diagnostic evaluation. West J Nurs Res. 2014;36(4):475–494. doi: 10.1177/0193945913506795. [DOI] [PubMed] [Google Scholar]
  • 13.Montgomery M., McCrone S.H. Psychological distress associated with the diagnostic phase for suspected breast cancer: systematic review. J Adv Nurs. 2010;66(11):2372–2390. doi: 10.1111/j.1365-2648.2010.05439.x. [DOI] [PubMed] [Google Scholar]
  • 14.Brocken P., Prins J.B., Dekhuijzen P.N., Henricus F.M., van der Heijden The faster the better?-A systematic review on distress in the diagnostic phase of suspected cancer, and the influence of rapid diagnostic pathways. Psycho Oncol. 2012;21(1):1–10. doi: 10.1002/pon.1929. [DOI] [PubMed] [Google Scholar]
  • 15.Yu L.S., Chojniak R., Borba M.A., Girao D.S., Lourenco M.T.D.P.C. Prevalence of anxiety in patients awaiting diagnostic procedures in an oncology center in Brazil. Psycho Oncol. 2011:1242–1245. doi: 10.1002/pon.1842. [DOI] [PubMed] [Google Scholar]
  • 16.Ando N., Iwamitsu Y., Kuranami M., Okazaki S., Wada M., Yamamoto K. Psychological characteristics and subjective symptoms as determinants of psychological distress in patients prior to breast cancer diagnosis. Support Care Canc. 2009;17(11):1361–1370. doi: 10.1007/s00520-009-0593-7. [DOI] [PubMed] [Google Scholar]
  • 17.Hilakivi-Clarke L., Rowland J., Clarke R., Lippman M.E. Psychosocial factors in the development and progression of breast cancer. Breast Canc Res Treat. 1994;29(2):141–160. doi: 10.1007/BF00665676. [DOI] [PubMed] [Google Scholar]
  • 18.Bleiker E.M., van der Ploeg H.M. Psychosocial factors in the etiology of breast cancer: review of a popular link. Patient Educ Counsel. 1999;37(3):201–214. doi: 10.1016/s0738-3991(99)00027-0. [DOI] [PubMed] [Google Scholar]
  • 19.Mitchell A.M., Possel P., Van Voorhees B.W., Eaton W.W. Associations of depression status and hopelessness with breast cancer: a 24-year follow-up study. J Health Psychol. 2017;22(10):1322–1331. doi: 10.1177/1359105315626998. [DOI] [PubMed] [Google Scholar]
  • 20.Bleiker E.M., Hendriks J.H., Otten J.D., Verbeek A.L.M., van der Ploeg H.M. Personality factors and breast cancer risk: a 13-year follow-up. J Natl Cancer Inst. 2008;100(3):213–218. doi: 10.1093/jnci/djm280. [DOI] [PubMed] [Google Scholar]
  • 21.Kinsinger S.W., McGregor B.A., Bowen D.J. Perceived breast cancer risk, social support, and distress among a community-based sample of women. J Psychosoc Oncol. 2009;27(2):230–247. doi: 10.1080/07347330902776002. [DOI] [PubMed] [Google Scholar]
  • 22.Currier M.B., Nemeroff C.B. Depression as a risk factor for cancer: from pathophysiological advances to treatment implications. Annu Rev Med. 2014;65:203–221. doi: 10.1146/annurev-med-061212-171507. [DOI] [PubMed] [Google Scholar]
  • 23.Nyklicek I., Louwman W.J., Van Nierop P.W., Wijnands C.J., Coebergh J.W.W., Pop V.J. Depression and the lower risk for breast cancer development in middle-aged women: a prospective study. Psychol Med. 2003;33(6):1111–1117. doi: 10.1017/s0033291703007499. [DOI] [PubMed] [Google Scholar]
  • 24.Radloff L.S. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas. 1977;1:385–401. [Google Scholar]
  • 25.Hann D., Winter K., Jacobsen P. Measurement of depressive symptoms in cancer patients: evaluation of the center for epidemiological studies depression scale (CES-D) J Psychosom Res. 1999;46(5):437–443. doi: 10.1016/s0022-3999(99)00004-5. [DOI] [PubMed] [Google Scholar]
  • 26.Ahmad-Sabki Z.Z., Ng C.G. Exploratory factorial analysis and reliability of the Malay version of centre for epidemiological studies depression scale (MCES-D) in a group of Malaysian junior doctors. Int J Acad Res. 2014;6:333–337. [Google Scholar]
  • 27.Spielberg C.D. Mind garden. Palo Alto; CA: 1983. Manual for the state-trait anxiety inventory STAI(FormY) [Google Scholar]
  • 28.Ollonen P., Lehtonen J., Eskelinen M. Anxiety, depression, and the history of psychiatric symptoms in patients with breast disease: a prospective case-control study in Kuopio, Finland. Anticancer Res. 2015;25(3c):2527–2533. [PubMed] [Google Scholar]
  • 29.Zimet G.D.D., Zimet S.G., Farley G.K. The Multidimensional scale of perceived social support. J Pers Assess. 1988;52:30–41. doi: 10.1080/00223891.1990.9674095. [DOI] [PubMed] [Google Scholar]
  • 30.Zimet G.D.P., Farley G.K., Werkman S., Berkoff K.A. Psychometric characteristics of the multidimensional scale of perceived social support. J Pers Assess. 1990;55:610–617. doi: 10.1080/00223891.1990.9674095. [DOI] [PubMed] [Google Scholar]
  • 31.Ng C.G., Amer Siddiq A.N., Aida S.A., Zainal N.Z., Koh O.H. Validation of the Malay version of the multidimensional scale of perceived social support (MSPSS-M) among a group of medical students in faculty of medicine, univesity Malaya. Asian Journal of Psychiatry. 2010;3(1):3–6. doi: 10.1016/j.ajp.2009.12.001. [DOI] [PubMed] [Google Scholar]
  • 32.Naing L., Winn T., Rusli B.N. Practical issues in calculating the sample size for prevalence studies. Arch Orafacial Sci. 2006;1:9–14. [Google Scholar]
  • 33.Ng C.H., Nur-Aishah T., Yip C.H. Is it necessary to excise all breast lesions? Experience from a University-based Breast Unit. Malays Fam Physician. 2009;4(2–3):66–70. [PMC free article] [PubMed] [Google Scholar]
  • 34.Montazeri A., Harirchi I., Vahdani M., Khaleshi F., Jarvandi S., Ebrahimi M. Anxiety and depression in Iranian breast cancer patients before and after diagnosis. Eur J Canc Care. 2000;9(3):151–157. doi: 10.1046/j.1365-2354.2000.00219.x. [DOI] [PubMed] [Google Scholar]
  • 35.Sun H.L., Dong X.X., Cong Y.J., Gan Y., Deng J., Cao S.Y. Depression and the risk of breast cancer: a meta-analysis of cohort studies. Asian Pac J Cancer Prev APJCP. 2015;16(8):3233–3239. doi: 10.7314/apjcp.2015.16.8.3233. [DOI] [PubMed] [Google Scholar]
  • 36.Bleiker E.M., Pouwer F., van der Ploeg H.M., Leer J.W.H., Ader H.J. Psychological distress two years after diagnosis of breast cancer: frequency and prediction. Patient Educ Counsel. 2000;40(3):209–217. doi: 10.1016/s0738-3991(99)00085-3. [DOI] [PubMed] [Google Scholar]
  • 37.Aro A.R., De Koning H.J., Schreck M., Henriksson M., Anttila A., Pukkala E. Psychological risk factors of incidence of breast cancer: a prospective cohort study in Finland. Psychol Med. 2005;35(10):1515–1521. doi: 10.1017/S0033291705005313. [DOI] [PubMed] [Google Scholar]
  • 38.Garner M.J., McGregor B.A., Murphy K.M., Koenig A.L., Dolan E.D., Albano D. Optimism and depression: a new look at social support as a mediator among women at risk for breast cancer. Psycho Oncol. 2015;24(12):1708–1713. doi: 10.1002/pon.3782. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Siegel R., Ma J., Zou Z., Jemal A. Cancer statistics. Ca - Cancer J Clin. 2014;64:9–29. doi: 10.3322/caac.21208. [DOI] [PubMed] [Google Scholar]

Articles from Journal of Taibah University Medical Sciences are provided here courtesy of Taibah University

RESOURCES