Quality of Life and Age-Related Predictor Symptoms in Breast Cancer Survivors Undergoing Hormone Therapy: A Study from the Northern Region of Morocco
PDF
Cite
Share
Request
Original Article
VOLUME: ISSUE:
P: -

Quality of Life and Age-Related Predictor Symptoms in Breast Cancer Survivors Undergoing Hormone Therapy: A Study from the Northern Region of Morocco

1. Laboratory of Biotechnology, Genomic and Bioinformatics, Faculty of Science and Techniques,Tangier, Abdelmalek Essaâdi University, Tetouan, Morocco
2. Institute of Nursing,Tetouan, Morocco
3. Department of Biology and Health, Faculty of Sciences, Abdelmalek Essâadi University, Tétouan, Morocco
4. Faculty of medicine and pharmacy, Abdelmalek Essaadi University, Tetouan, Morocco
No information available.
No information available
Received Date: 08.11.2024
Accepted Date: 15.01.2025
Online Date: 18.02.2025
PDF
Cite
Share
Request

ABSTRACT

Objective

The aim of this study was to assess the health-related quality of life (HRQoL) of breast cancer (BC) survivors during adjuvant hormone therapy (AHT) as a function of age and to identify predictor symptoms.

Materials and Methods

The study was based on a cross-sectional survey of 216 BC survivors undergoing AHT, in the Northern Region of Morocco. HRQoL was assessed using a validated HRQoL questionnaire, the Functional Assessment of Cancer Treatment (FACT-ES). Multiple linear regression analysis was used to identify predictor symptoms for the subscales of the FACT-ES.

Results

Younger women (<45 years) had lower scores on the emotional well-being subscale (p = 0.021). Irritability (b: -0.786; p = 0.001) and mood swings (b: -0.835; p = 0.031) were the strongest negative predictors of emotional quality of life. In both age groups, items related to social support had a positive effect on survivors’ social HRQoL (p<0.05).

Conclusion

BC survivors’ HRQoL during AHT differed by age group. Emotional problems negatively influenced HRQoL in younger women. Knowledge of the symptoms that predict HRQoL in BC survivors may help clinicians develop personalized interventions.

Keywords:
Age, breast cancer, hormone therapy, quality of life, predictor symptoms, survivors

Key Points

• Young survivors are more prone to emotional distress.

• Overweight and physical problems are more prevalent among older survivors.

• Social support has a positive effect on health-related quality of life for breast cancer survivors of all ages.

• Clinicians must manage breast cancer survivors during adjuvant hormone therapy, taking account of the predominant symptoms in each age group.

Introduction

Female breast cancer (BC) is a global burden. It ranks first in terms of incidence in the vast majority of the world’s countries (1). In Morocco, BC is the leading cancer in women, with an incidence rate of 38.8% of all cancers, and a death toll exceeding 4000 in 2022 (1). It is an age-related disease, most often affecting older women. However, several studies from Morocco have reported that the disease frequently affects younger women (2). These include a study of 265 female BC patients in North-East Morocco, which showed that the average age of the participants was 45 years (3).

BC is currently considered one of the most curable cancers, with a steadily improving 5-year survival rate, reaching 80.6% in Morocco (4). This is essentially due to the evolution of diagnostic methods and the development of new therapeutic techniques. With the increasing number of survivors of BC, the assessment of health-related quality of life (HRQoL) in these patients is considered a fundamental necessity, particularly in the case of long-term treatment, including adjuvant hormone therapy (AHT). HRQoL is currently considered a key determinant of treatment success in modern oncology, not only for young women who are exposed to psychological distress due to the disease or the effects of treatment (5), but also for older women, who represent the highest prevalence of BC (6). Indeed, several researchers have assessed HRQoL of BC survivors as a function of age in several countries (7-9). However, the relationship was not explicitly examined in most of these studies, sometimes leading to contradictory results. For example, some authors found that HRQoL was poorer in older patients than in younger women (9, 10). In contrast, other studies have reported better HRQoL in older women than in younger women, particularly in psychological terms, despite their impaired physical function and comorbidities (11, 12).

Currently, the majority of studies of BC survivors seek to explore socioeconomic and clinical predictors of HRQoL (13-15). Nevertheless, studies investigating predictors in terms of symptoms as a function of age remain very scarce, particularly during AHT. A recent study (2023) aimed at identifying the main symptoms in BC patients during AHT, showed that loss of sexual interest and joint pain were the symptoms most commonly reported by women. However, the study did not examine existing differences between younger and older women (10).

To the best of our knowledge, the present study is the first in Morocco and in the African context, to assess HRQoL of BC survivors as a function of age while identifying predictor symptoms related to AHT.

This study may have important clinical implications, as knowledge of these differences in HRQoL will enable personalized management of women according to their age. In addition, this research will provide valuable information on the symptoms that predict HRQoL in both age groups (younger and older), with a view to improving the overall health of these patients by acting on these predictors.

The primary aim of this study was to evaluate HRQoL in BC survivors based on their age, as well as to identify predictor symptoms during AHT.

Materials and Methods

Study Design

The present study was a cross-sectional study of 216 BC survivors undergoing AHT between 2015 and 2020. Those women were identified from the local cancer registry located at the focal point of each province in the northern region of Morocco. Data collection was done over two periods (8 months in total), 4 months in each province. The data was collected after authorization to collect data from the health authorities of the region, in collaboration with the archiving managers and head nurses of each oncology center. Participants were invited to participate in the study. For literate women, they individually completed the questionnaire assessing HRQoL which was the Functional Assessment of Cancer Treatment (FACT-ES) Arabic version. For illiterate women, the data collection was done via direct interviews. The compilation of data was completed using different sources: consultation of women’s medical records and examination reports.

Study Population

Sample

To calculate the size of our sample, we used the following formula:

n= z² p q / e²

where n = sample size; z = the confidence level (for a 95% confidence interval, z = 1.96); p = the total population (2023); q = 1-p; and e = the tolerated margin of error (5%). The minimum sample size found was n = 324.

The sampling method used for this study is proportional stratified probabilistic sampling, which makes it possible to have a representation closest to the general population. The choice of this sampling technique was imposed by the fact that the population naturally presents itself in strata, each stratum corresponding to a province. Thus, two strata were determined (Al Hoceima/Tetouan). However, since the size of each stratum is uneven, we opted for proportions corresponding to the percentage of women represented by the stratum to which they belong in relation to the minimum sample size determined beforehand (n = 324). Then inside each stratum, a simple random sample was carried out, after compiling the data in Excel.

The study database initially included 324 women, 216 of whom successfully completed our questionnaire, a response rate of 67%. Participants were stratified according to age (<45 years versus ≥45 years) to compare younger and older patients, based on available literature.

Women with early BC undergoing AHT [tamoxifen or aromatase inhibitors (AI)] were eligible to participate in this study.

Assessment of HRQoL

HRQoL was assessed using the FACT-ES, which is an international scale, initially developed by Fallowfield in 1999 (16) to assess HRQoL in BC patients undergoing AHT. It has been translated into several languages, including Arabic. Previous studies have demonstrated that the Arabic version of the FACT-ES is sensitive and reliable for assessing HRQoL in cancer patients in Arab populations (17). This questionnaire includes four domains: physical well-being (PWB); social well-being (SWB); emotional well-being (EWB); and functional well-being (FWB). There is also a 19-question subscale on endocrine symptoms (ES). The PWB, SWB and FWB each comprise seven items, and the EWB contains five items. FACT-ES has been translated and validated in several languages, including Arabic. Version 4 of FACT-ES Arabic was used for this study. Participants’ responses to the various items were assessed using a 5-point Likert scale, with response scores ranging from 0 to 4 (0 = not at all; 1 = a little bit; 2 = somewhat; 3 = quite a bit and 4 = very much). A higher overall HRQoL score FACT-ES and higher individual domain and ES scores indicate a better HRQoL. Missing values were calculated as an average of the observed items, if more than half of the items making up the subscale were answered, as suggested by its developer.

Statistical Analysis

Data were analyzed using Statistical Package for the Social Sciences (SPSS), version 21.0 (IBM Inc., Armonk, NY, USA). Descriptive statistics included frequencies and percentages for categorical variables (socio-demographic and clinical) and mean and standard deviation for continuous variables (FACT-ES scores). Differences between variables were obtained using chi-square tests for categorical variables and non-parametric tests (Wilcoxon-Mann-Whitney) for continuous variables. A multivariate analysis including significant variables from the univariate analysis was performed to identify predictors of the FACT-ES subscales in both age groups. Regression coefficients were used for linear regression results. In all multivariate analyses, the significance level (p) was set at 0.05. The minimum important difference for interpreting group differences in HRQoL for the FACT-ES scales is estimated at 3 to 8 points and at two points or more for the subscales, as recommended by the developer of FACT (16).

Ethical Considerations

The study was conducted in accordance with the Declaration of Helsinki, after obtaining authorization for data collection from the health authorities of the region under no. 488/00 of 05/02/2000 due to the non-existence of an ethics committee at the time of the study. Informed consent was obtained and confidentiality of participants’ private information was respected.

Results

Sociodemographic and Clinical Characteristics

The basic demographic data of patients receiving AHT are presented in Table 1. About 76% (n = 117) of women aged over 45 years were illiterate. More than half of the participants in both age groups were married. The results also show that almost half (n = 77) of women aged over 45 years have three or more children. Regarding employment status, almost all (90%) of the participants in both categories were unemployed. Regarding clinical variables (Table 2), data analysis revealed that more than 60% of women in both age groups had stage II BC. In addition, almost all women under 45 years (94.4%) were taking Tamoxifen, 70% of whom had treatment-induced menopause. In women aged over 45 years, nearly 60% were on AI, of whom 70% reported being postmenopausal. Regarding the duration of AHT use, the study results showed that more than half (53%) of women aged over 45 years had used this therapy for more than 2 years.

HRQoL According to Age

Table 3 compares HRQoL between younger (≤45 years) and older (>45 years) women. The results show that older women have a significantly better overall HRQoL, as well as a lower burden from the endocrine therapy, in addition to a better emotional quality of life. Nevertheless, younger women had significantly better mean PWB scores. However, no significant differences were observed for either SWB or FWB between the two age groups.

Predictor Symptoms of HRQoL According to Age

Table 4 highlights the symptoms that predict HRQoL in both age groups. The main symptoms that negatively influenced HRQoL in young women were psychological symptoms, namely: I feel nervous (β: -1.087), I am afraid that my health will deteriorate (β: -1.306), mood swings (β: -0.835), irritability (β: -0.786). Younger women also reported that gynecological symptoms also had a negative effect on HRQoL, including vaginal irritation (β: -0.931) and vaginal dryness (β: -1.115). For older women, physical problems such as generalized pain (β: -0.697), joint pain (β: -1.206) and lack of energy (β: -0.593), in addition to vasomotor symptoms including day and night sweats (β: -0.595), hot flashes (β: -0.628) and weight gain (β: -1,105) had a negative effect on their HRQoL.

In terms of variables related to social support (“I feel close to my partner”) or family support (“My family supports me morally”), these had a positive impact on the HRQoL in both age groups.

Discussion and Conclusion

The present study is the first to assess the HRQoL of BC survivors during five years of AHT as a function of age in the population of northern Morocco. Then, the predictor symptoms in the same population using the FACT-ES questionnaire were investigated. It is hoped that this will enable healthcare providers to identify survivors who may be at risk of impaired HRQoL and therefore provide targeted and appropriate care for each woman.

Most studies conducted in Western countries consider the boundary between “young” and “old” women to be 50 years (18, 19), as this is the average age at which menopause begins. However, the age of onset of menopause depends on several hormonal, hereditary and environmental factors. According to the World Health Organization the age of onset of menopause varies widely both between individuals in the same population and between different populations around the world, ranging from 45 to 55 years (20). Based on a literature review, the mean age of menopause used in most epidemiological and HRQoL studies of women with BC in the Moroccan and similar contexts was 45 years (2, 21). Thus, we opted to subdivide our study sample into two age groups: <45 years and ≥45 years. Several studies have examined the influence of age on HRQoL in BC patients (22). However, the majority of these studies do not directly explain this relationship, with contradictory results. For example, some authors found that the HRQoL of older patients was poorer than that of younger women
(23, 24), while other studies reported the opposite, concluding that young age was an important risk factor for poor HRQoL (19, 25). Other results mentioned the influence of age only on certain dimensions of HRQoL, notably the physical role (26). Still other studies have found no significant difference between older and younger patients (27).

In the present report, younger age (<45 years) was associated with lower overall HRQoL (FACT-ES), except for PWB. This corroborates with some previous studies (28, 29), which highlighted a positive relationship between younger age and better physical functioning.

Regarding SWB, the present study found a significant age-related difference, with higher scores in older women, which is consistent with the results of some studies that found a strong association between young age and low SWB (11). Previous reports have explained this finding by suggesting that older women are likely to live in better conditions of social stabilization than younger women, who may experience divorce and problems with spouses who do not accept their illness (30). However, this result contradicts other studies that have detected a strong association between younger age and better SWB (31). Given the inconsistency of these results, further research is needed to clarify the influence of age on the SWB of BC survivors, particularly among Moroccan patients in other regions.

Linear regression analysis demonstrated a positive effect of social support on SWB in both age groups. These results corroborate those of a recent study (32) and with other previous studies, demonstrating that adequate social support from family members, husband, friends and neighbors was associated with a significant improvement in HRQoL of BC patients (33).

Concerning the psychological and emotional dimension, the present study showed that younger survivors exhibit more psychological distress than older women. The literature also presents similar results. Indeed, the results of some systematic reviews have revealed that depressive syndromes are more pronounced in younger patients (12), which can be explained by the fact that younger women have more difficulty adapting to life with BC than older women. In addition, they complain and pay more attention to adverse effects, especially those related to menopause and infertility (34).

Given the paucity of literature on age-related predictive symptoms of HRQoL in BC survivors on AHT, our analysis and discussion included some results from studies of women classified according to menopausal status, given that premenopausal women are considered young and postmenopausal women older.

The results of our study concerning ES, showed a greater weight of these symptoms in younger patients than in older women, which is contradictory to the results of a study conducted in Saudi Arabia that revealed that women over 60 years old had more ES than younger women (23). However, these results align perfectly with those reported by Borreani et al. (35), highlighting that 64% of younger (premenopausal) patients reported a clinically significant worsening of their ES.

Our results showed that the main predictors of the ES subscale having a negative impact on young women’s HRQoL were both psychological and gynecologicalphysical. These findings align with those of Borreani et al. (36), which reported that items on the EWB subscale were predictive of the symptom group classified as “worse”. In terms of gynecological symptoms, a previous study showed that the older (menopausal) group of women suffered less vaginal dryness than younger (premenopausal) women (37). These results contradict those of the present study.

For older women in the present study, joint pain and lack of energy were the symptoms most commonly reported. This agrees with the majority of previous studies (38), demonstrating a failure of physical function associated with joint pain in this group of women. Similarly, a further study found that lethargy, joint stiffness, shoulder and knee joint pain were significantly more frequent/severe in older BC survivors (39). This is because older women are at risk of declining physical function due to the combined effect of basic age-related symptoms and the side effects of AHT (40).

Our study also found that the sensation of hot flushes and night sweats were negatively predicted in elderly women. A study showed similar results, highlighting that hot flushes and night sweats are less frequent in younger women and increase with age (41). Regarding weight gain, the results of a previous study demonstrated a strong relationship between weight gain and advanced age (post-menopausal) (42).

Finally, the inherent limitations of this study should not be overlooked. The most important limitations relate to the descriptive and cross-sectional nature of the study, as some factors were collected retrospectively, which may have influenced the results obtained. Another limitation is the study instrument. The FACT-ES does not include questions relating to spiritual well-being, whereas religious practice is an important daily activity for elderly patients and should be included in HRQoL surveys conducted in the Moroccan context, as suggested by a recent study (6). Despite its limitations, the conclusions drawn from this research may contribute to improving HRQoL in BC survivors on AHT. They may pave the way to identify optimal patient-centered interventions, while taking into account the HRQoL predictors corresponding to each age group. This study may also provide valuable opportunities for further work. Thus, the results of this study may provide a basis for a subsequent study examining the influence of AHT associated symptoms on adherence and treatment compliance.

In conclusion, the present study showed that over the five years of AHT, older BC survivors had better HRQoL than younger women. The main predictors of HRQoL in the latter group were symptoms related to psychological distress and gynaecological problems. Joint pain and impaired physical function had a negative impact on HRQoL in older women. The results of our study add to previous data in the literature and suggest self-management of BC survivors on AHT, through the implementation of interventions targeting predictors relative to each age group.

Ethics

Ethics Committee Approval: The study was conducted in accordance with the Declaration of Helsinki, after obtaining authorization for data collection from the health authorities of the region under no. 488/00 of 05/02/2000 due to the non-existence of an ethics committee at the time of the study.

Informed Consent: Informed consent was obtained and confidentiality of participants’ private information was respected.

Authorship Contributions

Concept: F.E.B., A.L., Z.B.A.; Design: F.E.B., A.L., N.B., R.A., S.B.; Data Collection or Processing: F.E.B., N.B., Z.B.A.; Analysis or Interpretation: F.E.B., A.L., N.B., R.A.; Literature Search: F.E.B., A.L., Z.B.A., R.A.; Writing: F.E.B., S.B.

Conflict of Interest: No conflict of interest was declared by the authors.

Financial Disclosure: The authors declared that this study received no financial support.

Ethics

Ethics Committee Approval: The study was conducted in accordance with the Declaration of Helsinki, after obtaining authorization for data collection from the health authorities of the region under no. 488/00 of 05/02/2000 due to the non-existence of an ethics committee at the time of the study.
Informed Consent: Informed consent was obtained and confidentiality of participants’ private information was respected.

Authorship Contributions

Concept: F.E.B., A.L., Z.B.A.; Design: F.E.B., A.L., N.B., R.A., S.B.; Data Collection or Processing: F.E.B., N.B., Z.B.A.; Analysis or Interpretation: F.E.B., A.L., N.B., R.A.; Literature Search: F.E.B., A.L., Z.B.A., R.A.; Writing: F.E.B., S.B.
Conflict of Interest: No conflict of interest was declared by the authors.
Financial Disclosure: The authors declared that this study received no financial support.

References

1
Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024; 74: 229-263. (PMID: 38572751)
2
Laamiri FZ, Hasswane N, Kerbach A, Aguenaou H, Taboz Y, Benkirane H, et al. Risk factors associated with a breast cancer in a population of Moroccan women whose age is less than 40 years: a case control study. Pan Afr Med J. 2016; 24: 19. (PMID: 27583083)
3
Znati K, Bennis S, Abbass F, Akasbi Y, Chbani L, Elfatemi H, et al. Cancer du sein chez la femme jeune dans le Nord-Est du Maroc. Gynecologie Obstetrique et Fertilite. 2014; 42: 149-154. (PMID: 22521987)
4
Mrabti H, Sauvaget C, Benider A, Bendahhou K, Selmouni F, Muwonge R, et al. Patterns of care of breast cancer patients in Morocco - a study of variations in patient profile, tumour characteristics and standard of care over a decade. Breast. 2021; 59: 193-202. (PMID: 34280610)
5
Roine E, Sintonen H, Kellokumpu-Lehtinen PL, Penttinen H, Utriainen M, Vehmanen L, et al. Long-term health-related quality of life of breast cancer survivors remains impaired compared to the age-matched general population especially in young women. Results from the prospective controlled BREX exercise study. Breast. 2021; 59: 110-116. (PMID: 34225091)
6
Amzerin M, Layachi M, Bazine A, Aassab R, Arifi S, Benbrahim Z, et al. Cancer in Moroccan elderly: the first multicenter transverse study exploring the sociodemographic characteristics, clinical profile and quality of life of elderly Moroccan cancer patients. BMC Cancer. 2020; 20: 983. (PMID: 33046017)
7
Al Qadire M, Alsaraireh M, Alomari K, Aldiabat KM, Al-Sabei S, Al-Rawajfah O, et al. Symptom clusters predictive of quality of life among Jordanian women with breast cancer. Semin Oncol Nurs. 2021; 37: 151144. (PMID: 33771404)
8
Ntekim A, Oluwasanu M, Odukoya O. Breast cancer in adolescents and young adults less than 40 years of age in nigeria: a retrospective analysis. Int J Breast Cancer. 2022; 2022: 9943247. (PMID: 35936820)
9
Ngan TT, Mai VQ, Van Minh H, Donnelly M, O’Neill C. Health-related quality of life among breast cancer patients compared to cancer survivors and age-matched women in the general population in Vietnam. Qual Life Res. 2022; 31: 777-787. (PMID: 34541610)
10
Jing F, Zhu Z, Qiu J, Tang L, Xu L, Xing W, et al. Contemporaneous symptom networks and correlates during endocrine therapy among breast cancer patients: a network analysis. Front Oncol. 2023; 13: 1081786. (PMID: 37064124)
11
Mokhtari-Hessari P, Montazeri A. Health-related quality of life in breast cancer patients: review of reviews from 2008 to 2018. Health Qual Life Outcomes. 2020; 18: 338. (PMID: 33046106)
12
Dialla PO, Chu WO, Roignot P, Bone-Lepinoy MC, Poillot ML, Coutant C, et al. Impact of age-related socio-economic and clinical determinants of quality of life among long-term breast cancer survivors. Maturitas. 2015; 81: 362-370. (PMID: 25911244)
13
Ismaili R, Loukili L, Mimouni H, Haouachim IE, Hilali A, Haddou Rahou B, et al. The impact of socioeconomic determinants on the quality of life of moroccan breast cancer survivors diagnosed two years earlier at the national institute of oncology in Rabat. Obstet Gynecol Int. 2021; 2021: 9920007. (PMID: 34257668)
14
El Battioui F, El Malki F, Barrijal S. Quality of life assessment of breast cancer survivors in Northern Morocco: rural-urban disparity. Breast Dis. 2023; 42: 291-298. (PMID: 37742628)
15
Winstead-Fry P, Schultz A. Psychometric analysis of the functional assessment of cancer therapy-general (FACT-G) scale in a rural sample. Cancer. 1997; 79: 2446-2452. (PMID: 9191537)
16
Fallowfield LJ, Leaity SK, Howell A, Benson S, Cella D. Assessment of quality of life in women undergoing hormonal therapy for breast cancer: validation of an endocrine symptom subscale for the FACT-B. Breast Cancer Res Treat. 1999; 55: 189-199. (PMID: 10481946)
17
Kobeissi L, Saad MA, Doumit M, Mohsen R, Salem Z, Tfayli A. Face validity of the functional assessment of cancer therapy-breast symptom index (FACT- B) into formal Arabic. Middle East Journal of Cancer. 2014; 5: 151-165.
18
Howard-Anderson J, Ganz PA, Bower JE, Stanton AL. Quality of life, fertility concerns, and behavioral health outcomes in younger breast cancer survivors: a systematic review. J Natl Cancer Inst. 2012; 104: 386-405. (PMID: 22271773)
19
Zheng C, Yu LX, Jia HY, Cui SD, Tian FG, Fan ZM, et al. Relationship between lifestyle habits and health-related quality of life of recently diagnosed breast cancer patients: a comparison between younger and older women in China. Front Public Health. 2021; 9: 767151. (PMID: 34976926)
20
WHO, World Health Organization. Availabale from URL: https://www.who.int/fr/news-room/fact-sheets/detail/menopause, update [17 October 2022].
21
Darwish AD, Helal AM, Aly El-Din NH, Solaiman LL, Amin A. Breast cancer in women aging 35 years old and younger: the Egyptian National Cancer Institute (NCI) experience. Breast. 2017; 31: 1-8. (PMID: 27771499)
22
Assogba ELF, Kamga AM, Costaz H, Jankowski C, Dumas A, Roignot P, et al. What are young women living conditions after breast cancer? Health-related quality of life, sexual and fertility issues, professional reinsertion. Cancers (Basel). 2020; 12: 1564. (PMID: 32545701)
23
Imran M, Al-Wassia R, Alkhayyat SS, Baig M, Al-Saati BA. Assessment of quality of life (QoL) in breast cancer patients by using EORTC QLQ-C30 and BR-23 questionnaires: a tertiary care center survey in the western region of Saudi Arabia. PLoS One. 2019; 14: e0219093. (PMID: 31291302)
24
Sert F, Ozsaran Z, Eser E, Alanyalı SD, Haydaroglu A, Aras A. Quality of life assessment in women with breast cancer: a prospective study including hormonal therapy. J Breast Cancer. 2013; 16: 220-228. (PMID: 23843857)
25
Kassem L, Mellas N, Tolba M, Lambertini M, Oualla K. Awareness and practices of Arab oncologists towards oncofertility in young women with cancer. Ecancermedicalscience. 2022; 16: 1388. (PMID: 35919230)
26
Al Ghaithi A, Al Rashdi E, Al Shukri M, Al Ghabshi R, Albalushi H. Oncologists’ knowledge, practice and attitude toward fertility preservation: a national survey. Life (Basel). 2023; 13: 801. (PMID: 36983955)
27
Arndt V, Stegmaier C, Ziegler H, Brenner H. Quality of life over 5 years in women with breast cancer after breast-conserving therapy versus mastectomy: a population-based study. J Cancer Res Clin Oncol. 2008; 134: 1311-1318. (PMID: 18504613)
28
Moro-Valdezate D, Buch-Villa E, Peiró S, Morales-Monsalve MD, Caballero-Gárate A, Martínez-Agulló Á, et al. Factors associated with health-related quality of life in a cohort of Spanish breast cancer patients. Breast Cancer. 2014; 21: 442-452. (PMID: 22926507)
29
Ho SY, Rohan KJ, Parent J, Tager FA, McKinley PS. A longitudinal study of depression, fatigue, and sleep disturbances as a symptom cluster in women with breast cancer. J Pain Symptom Manage. 2015; 49: 707-715. (PMID: 25461671)
30
Rosenberg SM, Stanton AL, Petrie KJ, Partridge AH. Symptoms and symptom attribution among women on endocrine therapy for breast cancer. Oncologist. 2015; 20: 598-604. (PMID: 25933930)
31
Champion VL, Wagner LI, Monahan PO, Daggy J, Smith L, Cohee A, et al. Comparison of younger and older breast cancer survivors and age-matched controls on specific and overall quality of life domains. Cancer. 2014; 120: 2237-2246. (PMID: 24891116)
32
Abu-Helalah M, Mustafa H, Alshraideh H, Alsuhail AI, A Almousily O, Al-Abdallah R, et al. Quality of life and psychological wellbeing of breast cancer survivors in the kingdom of Saudi Arabia. Asian Pac J Cancer Prev. 2022; 23: 2291-2297. (PMID: 35901334)
33
Ma Y, Lu Z, Qiu J, Luo H, Tang L, Li Y, et al. Symptom experience in endocrine therapy for breast cancer patients: a qualitative systematic review and meta-synthesis. Asia Pac J Oncol Nurs. 2023; 11: 100364. (PMID: 38293603)
34
Fearon D, Hughes S, Brearley SG. Experiences of breast cancer in Arab countries. A thematic synthesis. Qual Life Res. 2020; 29: 313-324. (PMID: 31646417)
35
Marschner N, Trarbach T, Rauh J, Meyer D, Müller-Hagen S, Harde J, et al. Quality of life in pre- and postmenopausal patients with early breast cancer: a comprehensive analysis from the prospective MaLife project. Breast Cancer Res Treat. 2019; 175: 701-712. (PMID: 30868393)
36
Borreani C, Alfieri S, Infante G, Miceli R, Mariani P, Bosisio M, et al. Aromatase inhibitors in postmenopausal women with hormone receptor-positive breast cancer: profiles of psychological symptoms and quality of life in different patient clusters. Oncology. 2021; 99: 84-95. (PMID: 32992318)
37
Gomaa S, Lopez A, Slamon R, Smith R, Telushi E, Lapitan E, et al. The lived experience of patients with breast cancer on adjuvant endocrine therapy: side effects and coping strategies during the first year of medication initiation. Support Care Cancer. 2023; 31: 719. (PMID: 38008817)
38
Zhu Y, Cohen SM, Rosenzweig MQ, Bender CM. Symptom map of endocrine therapy for breast cancer: a scoping review. Cancer Nurs. 2019; 42: E19-E30. (PMID: 30138143)
39
Honma N, Makita M, Saji S, Mikami T, Ogata H, Horii R, et al. Characteristics of adverse events of endocrine therapies among older patients with breast cancer. Support Care Cancer. 2019; 27: 3813-3822. (PMID: 30729298)
40
Sitlinger A, Shelby RA, Van Denburg AN, White H, Edmond SN, Marcom PK, et al. Higher symptom burden is associated with lower function in women taking adjuvant endocrine therapy for breast cancer. J Geriatr Oncol. 2019; 10: 317-321. (PMID: 30553719)
41
Ganz PA, Greendale GA, Petersen L, Kahn B, Bower JE. Breast cancer in younger women: reproductive and late health effects of treatment. J Clin Oncol. 2003; 21: 4184-4193. (PMID: 14615446)
42
Su HI, Sammel MD, Springer E, Freeman EW, DeMichele A, Mao JJ. Weight gain is associated with increased risk of hot flashes in breast cancer survivors on aromatase inhibitors. Breast Cancer Res Treat. 2010; 124: 205-211. (PMID: 20182796)