Reproductive Factors and Breast Cancer Risk in Palestine: A Case Control Study

DOI: https://doi.org/10.21203/rs.3.rs-122076/v2

Abstract

Background: Early age at menarche, late age at menopause, and late age at first full-term pregnancy are linked to a modest increase in the risk of developing breast cancer (breast ca). This study aims to investigate the reproductive determinants of breast cancer among women in the West Bank of Palestine.

A structured questionnaire was used to collect data in a case-control study (237 registered cases and 237 controls). A multivariate analysis model was used to adjust for the association between women’s reproductive factors and breast ca risk. This study was approved by Al Quds University Ethical Research Committee and the Ministry of Health research unit. 

Results: In the multivariate analysis, menarche after 13 years of age, use of oral contraceptives for more than two months, hormonal contraceptives use, and becoming pregnant at an early age (≤18 years) significantly doubled the risk for breast ca. Women who used hormone replacement therapy (HRT) were significantly associated with higher odds (6 times) of having breast ca versus those who did not use them (p <0.05). Similarly, nulliparous women showed 6 times the odds of breast ca compared with women with one or more children (p = 0.005). Also, parental consanguinity marriage and positive family history of the condition can be strong determinants for breast ca in this study. 

Conclusion: This study provides clear evidence that the use of reproductive hormones, whether as a birth control tool or for therapeutic purposes, must be rationalized worldwide and in Palestine in particular.

Introduction

Breast cancer (breast ca) is the most common form of cancer mortality among women in the world1.Breast cancer is a multi-factorial type of cancer. Being genetically predisposed or having a family history of a first-degree relative with breast ca was shown to increase the cancer incidence 2-4. Parental marriage to a relative was also shown to increase the risk 5. Among women aged 40 years or more, breast ca is related to increased risk 6,7. Modifiable risk factors such as obesity, physical inactivity, sedentary behavior, and poor dietary patterns were also shown to be related to breast cancer risk 8-10.

The effect of reproductive factors strongly supports a hormonal role in its aetiology 11-14. Early age at menarche, late age at menopause, and late age at first full-term pregnancy are linked to a modest increase in the risk of developing breast cancer 14,15. However, multiple full-term pregnancies and long-term breastfeeding decrease the risk of breast cancer16,17.

Reproductive surgeries such as ovariectomy, tubal sterilization, and hysterectomy may also affect the breast cancer risk by altering hormone levels before menopause or by bringing forward the age at menopause 18,19 . Long-term use of hormone replacement therapy (HRT) 20, but not long-term use of oral contraceptives (OC), was also related to an increased risk of breast ca 21 . Moreover, it was noted that the time elapsed since last oral contraceptive use was associated with a higher risk of breast ca than recent use 22.

Breast cancer is the most common and widespread type of cancer in Palestine, and ranks as the third cancer that causes death. It constitutes 17% of all cancer cases. At the end of 2017, there were 503 new cases documented in the West Bank and 327 new cases recorded in the Gaza Strip. The rate was 33.1 new cases per 100,000 females annually 23 . Few studies have tackled the risk factors of breast ca in Palestine 2,24. In Gaza, a study among women aged 18 to 60 years suggested that a positive family history of breast ca, high body mass index, and some common diseases (hypertension, diabetes mellitus) maybe epigenetic factors that promote the occurrence of breast ca 2. The reproductive determinants of breast cancer among women in the southern region of the West Bank will be presented here. The study findings may help to clarify the interaction of these factors in the development of breast cancer among Palestinian women. 

Study context

The cancer burden in Palestine is expected to increase and will pose a substantial challenge for the healthcare system. The limited financial and infrastructural resources, plus political uncertainty, exacerbate the problem 25. Cancer care, diagnosis and treatment services are provided in four West Bank hospitals. However, isotope scans like PET-CT are not available and all such cases are referred to Israeli hospitals. The shortage of specialized physicians and of drugs, chemotherapy, and radiation therapy present a challenge in providing proper care for cancer patients 26 . This study was conducted at the major governmental hospital: BeitJala hospital in the southern West Bank. BeitJala hospital has an oncology department and daycare clinic that offers daycare medical services for cancer patients in the central and southern areas of the West Bank. Therefore, this study aimed to explore the various reproductive risk factors for breast cancer in the West Bank of Palestine.

Material And Methods

Study design

This case-control study was conducted at Beit Jala governmental hospital in the West Bank of Palestine over the period 2016 to 2017.

Study cases and control selection

Based on hospital chart number, 237 women were selected at random as study cases from those attending the daycare oncology department or the chemotherapy unit of BeitJala hospital. These women had a pathologically confirmed breast carcinoma and were aged 40 years or more at the time of interview.

To serve as a comparable and representative control group, 237 women of the same age distribution and geographic area were randomly recruited from the screening program for breast ca. The subjects in the control group were confirmed as free from breast ca and had never been suspected of having any previous neoplastic disease or any other cancer. Their medical records were checked to include a normal (BIRADS 1) mammography. Those referred by a physician for a suspected history of breast problems were excluded. Only a very low proportion (2%) of selected women (study cases and controls) refused to participate in this study.

This study was approved by Al Quds University Ethical Review Committee. Written approval was obtained from the Ministry of Health to access the patients' records from the oncology department and cancer registry. All women provided written informed consent.

Data collection

The medical records of cancer patients were used to retrieve information related to the breast ca: date of diagnosis, stage at diagnosis, type of cancer, and therapy strategy. 

Trained female interviewers administered an in-person structured questionnaire during the patient visit to the oncology department. Controls were contacted by a nurse from the mammography department and were invited to participate. If a control refused to come to the clinic, the interview was conducted via a phone call.

The questionnaire included questions on demographic and lifestyle factors; parental consanguinity marriage; contraceptive history; use of hormone therapy; menstrual history; pregnancy and breastfeeding history; medical history, including cancer and mammogram history; and family history of malignancy. Women were also asked whether they had undergone surgery to remove one or both ovaries partially or fully. Women were also asked whether they had undergone a hysterectomy or tubal sterilization, and the approximate month and year of the procedure(s).

Statistical analysis

SPSS version 23 (IBM Corp., Chicago, IL, USA) was used for the data analysis. Bivariate and multivariate unconditional logistic regressions were used to assess the association of breast ca with independent variables. Crude and adjusted odds ratio (AOR) and 95% confidence intervals (CIs) were calculated to determine the precision of the estimates. The level of significance used was 5%. The p-value < 0.05 indicated significance.

Results

In total, 237 cases and 237 age-matched controls were included. The mean age of those in the study was 54.6 (SD=10.9) years and 54 (SD= 9.9) years for the control group (p>0.05).

Most of the study cases were diagnosed at stage 2 and 3 of cancer (35% and 30% respectively). Most of the study cases (83%) discovered that they had cancer after they noticed a mass and only 17% were diagnosed by screening. More than half of the study cases had ductal carcinoma (n=138, 58%); 19 women had lobular carcinoma (8%); 5 women had follicular carcinoma (2.1%); 4 had mixed type (ductal lobular 1.7%); and 30% did not have a documented type in their files. Almost all cases had undergone chemotherapy treatment (98%). About 83% of cases had undergone partial mastectomy and half of them had undergone a full mastectomy. Furthermore, 75% of cases had surgery as the first-line treatment and did not receive neo-adjuvant therapy.

Socio-demographic factors

Table 1 shows the socio-demographic characteristics for cases and controls. Study cases and controls had significantly different distributions for multiple characteristics such as educational level, home type, family size, and parental consanguinity, but not for others (Table 1). Study cases had higher levels of education than those in the control group (41%) had more than 10 years of education versus 24.5%). Controls had larger families than study cases (mean 6.35, SD 2.6 versus mean 5.61, SD 2.96 respectively) but lived in smaller residences than the study cases. About 43% of study cases had married a first-degree relative compared with 21% in the control group. 

Table 1: Socio-demographic characteristic of study participants

Characteristics

Controls

N=237

Study cases

=237

Chi square

Frequency (%)

Frequency (%)

P-value

Age groups

(years)

39-44

50 (21.1)

50 (21.1)

--

45-49

40 (16.9)

40 (16.9)

50-54

37 (15.6)

37 (15.6)

55-59

40 (16.9)

40 (16.9)

60-64

19 (8.0)

19 (8.0)

65-69

27 (11.4)

27 (11.4)

More than 70

24 (10.1)

24 (10.1)

Educational level (years)

1-6

117 (49.3)

81 (34.2)

0.001

7-9

62 (26.2)

59 (24.9)

10-12

44 (18.6)

49 (20.7)

>12

14 (5.9)

48 (20.2)

Home type

Separate house

147 (62)

198 (83.5)

0.001

Apartment

90 (38)

39 (16.5)

Family monthly income**

Less than 1000

55 (23.2)

78 (32.9)

0.012

1000 to 2000

182 (76.8)

159 (67.1)

Working status

Yes (now or then)

23 (9.7)

35 (14.8)

0.09

No

214 (90.3)

202 (85.2)

Period of work (years)

Less than 15

15 (65.3)

16 (45.7)

0.31

15-30

7 (30.4)

15 (42.9)

More than 30

1 (4.3)

4 (11.4)

Marital status

Single

10 (4.2)

19 (8.0)

0.20

Married

189 (79.7)

185 (78.1)

Divorced or widowed

38 (16.1)

33 (13.9)

Parity

No

12 (5.1)

36 (15.2)

0.000

Yes

225 (94.9)

201 (84.8)

Family size

(persons)

1-5

93 (39.2)

108 (45.6)

0.16

6 or more

144 (60.8)

129 (54.4)

Parental consanguinity

relation

No Relation

123 (51.9)

100 (42.2)

0.001

1st degree

52 (21.9)

102 (43.0)

2nd degree

62 (26.2)

35 (14.8)

*p-value was calculated by using Pearson’s chi square test

** NIS: new Israeli Shekels: 1000 NIS is about 300 dollars

Socio-demographic factors and their association with breast cancer

The odds ratio between socio-demographic factors and breast ca are summarised in Table 2. The odds of breast ca were higher among women with more than 12 years of education versus those with less education. The odds of breast ca were 3.87 times higher among women living in separate houses compared with those living in apartments (95% CI: 2.36-6.33, p =0.00). Women with no children were 2.5 times more likely to get breast ca versus women with children. Interestingly, the odds of breast ca were 2.5 times higher among women married to a first cousin (consanguinity marriage) compared with those whose spouse was not related or were married to a second-degree relative (95% CI: 1.60-4.08, p=000).

Table 2: Socio-demographic factors and their association with breast cancer

Characteristics

Controls

N=237

Study cases

N=237

Univariate analysis

Multivariate analysis

Frequency (%)

Frequency (%)

OR

95% CI

L-U

AOR

95% CI

L-U

P value

Educational level (years)

1-6

117 (49.3)

81 (34.2)

0.20

0.10-0.39

0.14

0.07-0.30

.000

7-9

62 (26.2)

59 (24.9)

0.28

0.14-0.56

0.27

0.13-0.57

.001

10-12

44 (18.6)

49 (20.7)

0.33

0.16-0.67

0.32

0.14-0.69

.004

>12

14 (5.9)

48 (20.2)

1.0

(Ref)

1.0

(Ref)

 

Family monthly income

(NIS)**

Less than 1000

55 (23.2)

78 (32.9)

1.62

1.08-2.43

1.80

1.13-2.90

0.012

1000 to 2000

182 (76.8)

159 (67.1)

1.0

(Ref)

1.0

(Ref)

 

Home type

Separate house

147 (62)

198 (83.5)

3.1

2.02-4.79

3.87

2.36-6.33

.000

Apartment

90 (38)

39 (16.5)

1.0

(Ref)

1.0

(Ref)

 

Parity

Yes

225 (94.9)

201 (84.8)

0.30

0.15-0.59

0.39

0.19-0.80

.010

NO

12 (5.1)

36 (15.2)

1.0

(Ref)

1.0

(Ref)

 

Parental consanguinity

relation

2nd degree

62 (26.2)

35 (14.8)

0.69

0.43-1.13

0.68

0.39-1.16

0.16

1st degree

52 (21.9)

102 (43.0)

2.41

1.58-3.69

2.56

1.60-4.08

.000

No Relation

123 (51.9)

100 (42.2)

1.0

(Ref)

1.0

(Ref)

 

Legend: L lower, U upper, COR crude odds ratio, AOR adjusted odds ratio, Ref reference, CI confidence interval

OR was calculated by using logistic regression, p-value < 0.05. NIS: new Israeli Shekels

Reproductive factors and their association with breast cancer

A woman’s age at menarche was significantly higher among the control group compared with study cases mean 13.2 (SD=1.01) years versus 13.6 (SD=1.08) years in the study cases, T-test significance <0.001. The odds of breast ca were 2.6 times higher among women with late menarche (≥ 13 years) versus those who got their menarche earlier (< 13 years old) (95% CI: 1.44–4.69, p value=0.002) (Table 3). More than half of both study cases and controls were postmenopausal women with no significant difference in the age of menopause (mean 49.21 (SD=3.55) years versus 48.5 (SD=4.38) years, T-test significance>0.05. 

The mean age for use of OC in the control group was 29.28 years (SD=6.02) and 28.91 years (SD=5.96) in the study cases (T-test significance >0.05).Ceasing use of OC was also not significantly different between the two groups 34.38 years (SD=6.61) in control group and 33.91 years (SD=7.68) in study, T-test significance >0.05). Women who used hormonal contraceptives and hormone replacement therapy (HRT) were significantly associated with higher odds of having breast ca at 2.09 (95% CI: 1.10-3.95, p <0.001) and 6.37 (95% CI: 2.40-16.9, p = 0.002) respectively, compared for those who did not use them. Similarly, nulliparous women showed 6 times the odds of breast ca (95% CI: 1.71-20, p = 0.005) compared with women with one or more children. Women who became pregnant at an early age (≤18 years) were also at higher risk of breast cancer than women who became pregnant later (>18 years) (AOR 2.09, CI: 1.30-6.55, p=0.01) (Table 3). Breastfeeding showed fewer odds for breast ca but the association was not statistically significant (AOR 0.59, CI: 0.32-1.58).The longer the duration of breastfeeding, the lower the odds for breast ca (Table 3).

Table 3: Reproductive factors and their association with breast cancer

characteristic

Controls

N= 237

Study cases

N= 237

Univariate

 analysis

Multivariate

analysis

   

Freq (%)

Freq (%)

P-

value

OR

95% CI

L-U

AOR

95% CI

L-U

P value

Age at menarche *

(years)

≥13

179 (75.5)

205 (86.5)

0.002

2.07

1.29-3.34

2.6

1.44-4.69

.002

<13

58 (24.5)

32 (13.5)

1.0

(Ref)

1.0

(Ref)

 


Ever OC use for

≥ 2 months*

Yes

25 (10.5%)

47 (19.8%)

0.005

2.09

1.24-3.52

2.09

1.10-3.95

0.01

No

212 (89.5)

190 (80.2)

1.0

(Ref)

 

 

 

Use of HRT*

Yes

8 (3.4)

36 (15.2)

00

5.13

2.33-11.2

6.37

2.40-16.9

0.002

No

229 (96.6)

201 (84.8)

1.0

(Ref)

1.0

(Ref)

 

Age at first marriage (years) **

≤18

124 (54.4)

95 (43.6)

0.02

1.54

1.06-2.24

1.48

1.01-2.16

0.042

>18

104 (45.6)

123 (56.4)

1.0

(Ref)

1.0

(Ref)

 

Parity **

No

12 (5.1)

36 (15.2)

0.00

3.36

1.71-6.63

5.90

1.71-20

0.005

Yes

225 (94.9)

201 (84.8)

1.0

(Ref)

1.0

(Ref)

 

Age at first pregnancy (years)†

≤18

105 (46.5)

63 (30.9)

0.001

1.94

1.31-2.89

2.90

1.30-6.55

0.01

>18

121 (53.5)

141 (69.1)

1.0

(Ref)

1.0

(Ref)

 

Age at first

Delivery (years)†

≤18

81 (36)

54 (26.9)

0.045

1.0

(Ref)

1.0

(Ref)

 

>18

144 (64)

147 (73.1)

0.65

0.43-0.99

0.56

0.24-1.29

0.17

Number of full term pregnancies†

>5 children

177 (74.7)

140 (59.1)

0.001

1.61

1.04-2.49

1.35

0.85-2.14

0.20

1-4 children

49 (20.7)

64 (27)

1.0

(Ref)

1.0

(Ref)

 

Ever breastfeeding†

Yes

217 (95.2)

187 (85.8)

0.001

0.31

0.25-0.63

0.59

0.32-1.58

0.26

No

11 (4.8)

13 (12.4)

1.0

(Ref)

1.0

(Ref)

 

Age at first breastfeeding

(years)† †

≤18

77 (35.5)

48 (25.7)

0.034

1.59

1.04-2.45

1.17

0.73-1.86

0.51

>18

140 (64.5)

139 (74.3)

1.0

(Ref)

1.0

(Ref)

 

Total breastfeeding durations (all children) (years) ††

≤3 

12 (5.5)

28 (15)

00

1.0

(Ref)

1.0

(Ref)

 

4-6

32 (15.2)

58 (31)

0.75

0.34-1.67

0.75

0.34-1.67

0.49

7-9

59 (27.0)

48 (25.7)

0.35

0.16-0.76

0.35

0.11-0.76

0.008

>9

113 (52.1)

53 (28.3)

0.20

0.09-0.43

0.21

0.06-0.45

0.000

Legend Hormone Replacement Therapy (HRT), Chi square p value

*Among all participating women

** Age of marriage and parity calculations were based on number of non single women

†Age at first pregnancy, at first delivery, and number of full pregnancy calculations were based on married women with children

†† Age of first breastfeeding and duration were calculated bases on the number of breastfeeding

 

Discussion

The reason for international variations in the incidence of breast ca remains unclear. These variations can be seen between both high and low-income countries. Many of the risk factors for breast ca have been investigated but require further examination in individual nations.

In this study, we examined a broad spectrum of risk factors for breast ca, including female reproductive factors. The reproductive risk factors for breast ca identified in Palestinian women are similar to those observed in other studies. This study provides clear evidence that late menarche poses an additional risk for breast ca. Early marriage and having children early in life, both popular in the Palestinian community, were shown to increase the odds of breast ca. The role of oral contraceptives and hormonal replacement therapy on women’s health was also clearly shown and there should be rational use of hormones, whether as a birth control tool or for therapeutic purposes. Having children proved to be protective against breast ca but as most married women in Palestine breastfeed their children, we could not show that breastfeeding is a protective factor for breast cancer among the study group. However, we can still highlight the role of breastfeeding in breast ca protection. More in-depth investigations are needed to identify the relationship between various factors, especially the protective role of having children and breastfeeding practices on breast ca in Palestine. Special attention should be devoted to the particular social and cultural factors related to sexual and reproductive issues among women in Palestine.

Several studies have indicated that women with high socioeconomic status (SES) are at risk for breast ca with an overall estimate of 20% increased risk 27. This positive association was clearer among Hispanic and Asian women 28, and not only for breast ca but for other cancers such as colon, ovary, and melanoma cancers 29. Our study found that breast ca was more common among more educated rather than less educated women, and in women with a lower family income rather than women with a higher family income. In the north of Palestine, a previous study showed that there was a four-fold increase in the risk of breast ca among highly educated women 24; this was also reported among Egyptian women 30. In European women, a direct dose-response relationship was seen between educational level and postmenopausal breast ca incidence 31.

Our results found that women living in an apartment had a significantly lower risk of getting breast ca compared with those living in a separate home; this was assumed to be due to a higher SES. Several studies showed that lower SES increased the risk of breast ca because women were less aware of screening techniques and diagnosis 32. Our results could be explained by the fact that women with a higher family income can afford health insurance and are more willing to spend money on their health and better medical care access. Greater awareness among educated women about mammography screening tests is very clear in Palestine. It is worth mentioning that screening in Palestine is free of charge for all women over 40 years of age. Another possible explanation is that the more a woman is educated, the later she marries, the later the age of pregnancy, the shorter the period of breastfeeding, and the lower parity is characteristic of women from higher SES. Indeed, socio-economic inequalities could affect the time of diagnosis, survival or mortality due to cancer despite improved knowledge, reduction of risk factors for cancer, early diagnosis, and treatment 33.

Consanguinity is becoming a very strong factor for cancers and other genetic diseases in many countries 34,35. Our study showed that daughters of unrelated parents had a decreased breast ca risk, whereas the risk increased 2.5-fold for those with first-degree related parents. A similar finding was reported in the United Arab of Emirates (UAE) in which having unrelated parents halved the risk (RR=0.5, 95%CI: 0.27- 0.93) 35. A study among Israeli Arabs of Palestinian origin showed an increase in diabetes and duodenal ulcers 34. Consanguineous practices in populations might affect the gene frequency in these populations, which could have a major effect on the carrier rate of such genes. Therefore, in countries with high consanguinity, the incidence of diseases and syndromes should be monitored with caution. 

It is believed that up to 10% of breast ca cases in Western countries were due to genetic predisposition with a threefold increase in the risk of breast ca among those with a family history of breast ca 36.  In our study, women with a family history of breast cancer had a fourfold increased risk of breast ca. In Qatar, a country with high consanguinity marriage, a study showed that consanguinity was lower in breast cancer patients than in controls, but a family history of breast cancer was significantly more prevalent in breast cancer patients 37. The risk of breast ca ranged from 1.5 to 3.6 in a pooled analysis depending on the relative in question, with the highest risk reported among women who had a mother or a sister with breast ca 38. Furthermore, women living in the Gaza Strip and who had a positive family history of breast ca showed an increased risk of breast ca (OR=2.7, 95%CI: 1.04-7.20). Similar results were reported among Algerian women, where the odds for breast cancer were four times higher among those with a family history of the disease (95% CI: 2.22-7.77) 39. These two factors, i.e. consanguinity and family history of breast cancer, may have a synergistic effect in such studies and the risk might be greater if combined in these women. 

Early age at menarche, late age at menopause, and late age at first full-term pregnancy are linked to a modest increase in the risk of developing breast cancer 14-16. Also, parity and age of marriage are among the most common extrinsic factors that modulate breast cancer risk. It is well documented that parity has a dual effect on breast cancer risk, with an increased risk during 5 to 10 years after pregnancy, followed by a strong and life-long protective effect 15

In several studies, older age at menarche was inversely associated with breast ca risk. The high-risk groups were females with menarche before the age of 11 years 4 . Around 117 studies showed that the breast ca risk increased by a factor of 1.050 for every year less at menarche 15, and a delay of two years at menarche led to a 10% reduction in breast ca worldwide 40. In our study, older age at menarche was shown to be associated with an increased risk of breast ca. The risk increased three-fold with menarche at the age of 13 or more. In the north of the West Bank, the estimated risk was 6.5 which also showed an increase the risk for breast ca 24 . The protective result of menarche at an older age was explained by the lower cumulative number of ovulatory cycles, which is negatively associated with the risk, younger age at menarche, and older age at menopause, means a female would have more cycles and an increased risk 41,42 .

According to the Palestinian Central Bureau of Statistics (2016), the mean age of first marriage was 19.8 years in the southern region of Palestine 43. Consequently, many women may have their first pregnancy and first delivery at a young age (below 18 years). Women with breast ca in our study had a mean age of marriage of 20.4 years (SD=5.44). Our multivariate results showed an inverse association between age at first marriage and age of first pregnancy for breast ca. We could not see any difference according to whether a woman had her first child before the age of 18 years or after. In contrast, a study in the north of the West Bank showed that there was a 10% increase in the risk of breast ca when the first marriage was below 20 years of age 24. Another study in the Gaza Strip showed that women who had their first pregnancy after the age of 35 years had an 11-fold increase in breast cancer risk 2.

Our results revealed no significant association between full-term pregnancies and the risk of breast ca. However, the number of full-term pregnancies was negatively associated with breast ca risk in almost all studies, even in the Western world. This result was consistent for not only one type but for all subtypes of breast ca in pre- and post-menopausal women. The reduction in the risk ranged from 18% to 60% 44. In the north of Palestine, a 50% decrease in risk was reported among women with four full-term pregnancies or more 24.

One of the well-established protective factors against breast ca is breastfeeding. In our results, almost all women who had children had engaged in breastfeeding, but the protective effect in our analysis was not in the breastfeeding itself but in its duration. Previous studies found that breastfeeding itself was protective. A Saudi study reported that never having breastfed doubled the risk (OR=1.89, 95%CI: 1.19-2.94) 45. Furthermore, breastfeeding decreased the risk of having breast ca by almost 60% in an Israeli study in our region (OR=0.39, 95%CI: 0.26-0.59) 46. Breastfeeding is assumed to protect against breast ca through hormonal mechanisms that include postponing the resumption of ovulatory menstrual cycles after pregnancy, reducing estrogen levels in the breast, and having fully differentiated breast tissue that is less susceptible to hormones 47.

The results of studies about the duration of breastfeeding have been inconsistent. A study that summarized findings from developed countries showed that for every year a woman breastfed, her risk of developing breast ca was reduced by 4.3% 48. Similar results were reported in an American study for different age and ethnic groups 49. In our study, a very clear inverse dose-response relationship was found with AOR=0.39 for the group of 9 years or more of breastfeeding versus those who had never breastfed, with a decrease in risk of 25-30% for an additional three years of breastfeeding. Among Palestinian women in the north, the risk for those who had never breastfed was doubled compared with those who had lactated for four years or more 24 . No association was found between breastfeeding duration and the risk of breast ca in either developed or developing countries 48.

Regarding the use of hormonal contraceptive pills (OCP) and their association with breast ca, our study showed that previous oral OCP use for more than two months significantly doubled the risk of breast ca (AOR=2.22), but failed to show any link to the duration of using OCP. Similar results were revealed among Jordanian females 50,51. Regular use of OCPs in Jordanian women was shown to be associated with an increased risk of breast cancer (OR = 2.25, 95% CI 1.34-2.79; p = 0.002), although the duration of use was not associated with an increased risk of breast cancer (p > 0.05) 51. However, many studies found a slight increase in the risk 52. Other studies reported that the increased risk was only for the 10 years that followed the last OCP use 31. Other studies have found a decreased risk among women, but at least 10 years after the last use of OCPs 53. A study in Iran showed that long term OCP use (>/=10 years) (OR = 3.17, 95% CI: 1.27-7.95, P = 0.01) increased the risk of breast ca 54. On the contrary, some studies showed that OCP played a protective role against breast ca. A study in the Central African Republic showed a decrease in the risk for breast ca (0.62) 55. In Palestine, 54.8% of married women aged 15-49 years reported using contraception and 44.0% of women of reproductive age used modern contraceptives 56.

Hormone replacement therapy (HRT) was very strongly associated with the risk of breast ca in our results (AOR=3.97). Similar results were reported among Saudi and Jordanian women, (OR=2.25, 95%CI: 1.65-3.08) 45,50. A population-based study in Korea showed that the risk of breast cancer in HRT users was 1.25 95% CI, 1.22-1.29 compared with non-HRT users. As the duration of use increased, so did the adjusted hazard ratio (HR) (adjusted HR for 2 to <5 years was 1.33 and was 1.72 for ≥ 5 years) 8. In our study, 77% of women used HRT for less than 5 years (mean 3 years, standard deviation 2.61 years) with no significant difference between the study cases and control group. An increased risk among HRT users was shown in most studies. Martino et al. showed a 30% increase in risk of breast ca in past users compared with 60% in current users, revealing a dose-response relationship with duration of use 57. Nevertheless, it was reported that HRT therapy using estrogen alone had a reduced breast ca risk in young women but increased the risk in older women 58. In our study, women could not tell us which type of HRT they used and the exact duration of its use.

Some limitations must be taken into consideration to explain the findings of this study. Firstly, the study was carried out on patients living in the south of Palestine. Thus, known risk factors may be different in the general population. Secondly, there could be information (recall) bias from the self-reporting of information of some variables such as the age of menarche, age of menopause, breastfeeding practices, and abortion experiences. Also, women were not able to report which type of OCP and HRT they used and the duration of its use. Thirdly, the use of women who came for screening of breast ca as the control group introduced some selection bias in the study. Nevertheless, the results and limitations of the study contribute to the ongoing research in the field of breast ca among Palestinian women. Also, this study was conducted in an Arab developing country where lifestyle changes can provide other important information about breast ca risk factors.

Conclusions

This is the first epidemiological study in Palestine to investigate the risk for breast ca based on women’s reproductive factors. Significant differences in breast ca were found between the study cases and control group: age at puberty, use of OCP and HRT, nullparity, early marriage, early pregnancy, and early delivery. All these factors indicated a higher risk of breast ca alongside being from a family with a history of breast cancer and married to a first cousin. In Palestine, most women breastfeed so more in-depth investigations are needed to identify the protective role of having children and breastfeeding practices on breast ca protection. Moreover, the Palestinian community must be aware of the effect of early marriage and parental consanguinity on the risk of breast cancer. These results are very important in clinical practice and women must be aware of the results on their health of the use of OCP and HRT. The use of reproductive hormones whether as a birth control tool or for therapeutic reasons must be rationalized. We encourage more studies to be conducted on breast cancer to tackle the specific types of breast ca in all areas of Palestine and other unknown determinants. Special attention should be given to the particular social and cultural factors related to sexual and reproductive issues among women in Palestine.

Declarations

This study was approved by Al Quds University Ethical Research Committee, which is based on the Helsinki declarations. Therefore, all study methods were performed following the Helsinki guidelines and regulations. Al Quds University ethical research regulations adhere to Helsinki regulations

Written approval was obtained from the Ministry of Health to access patient records from the oncology department and cancer registry. All women provided written informed consent.

NA

The datasets used and/or analysed during the current study are available from the corresponding author upon reasonable request.

The authors declare that they have no competing interests.

This study was funded by Al Quds University research funds.

NS and IK designed the survey and developed the study tool. IK was responsible for data collection, data entry, and primary analysis. NS and IK participated in the study of advanced analysis and the development of study tables. NS was responsible for writing the manuscript. All authors read and approved the final manuscript. 

The authors wish to thank all participants for their willingness to participate and the Ministry of Health teams for facilitating the study implementation. Also, the authors wish to express their gratitude to Al Quds University for funding this research.

Nuha El Sharif and Imtithal Khatib, AlQuds University School of Public Health, Abu Dis Campus, Jerusalem, Occupied Palestinian Authority.

References

  1. Ghoncheh M, Pournamdar Z, Salehiniya H: Incidence and Mortality and Epidemiology of Breast Cancer in the World. Asian Pacific Journal of Cancer Prevention: APJCP 2016, 17:43-46.

  2. Kariri M, Jalambo MO, Kanou B, Deqes S, Younis S, Zabut B et al.: Risk Factors for Breast Cancer in Gaza Strip, Palestine: A CaseControl Study. Clinical nutrition research 2017, 6:161-171.

  3. Liaw YY, Loong FS, Tan S, On SY, Khaw E, Chiew Y et al.: A retrospective study on breast cancer presentation, risk factors, and protective factors in patients with a positive family history of breast cancer. Breast J 2020, 26:469-473.

  4. Al Ajmi K, Lophatananon A, Ollier W, Muir KR: Risk of breast cancer in the UK biobank female cohort and its relationship to anthropometric and reproductive factors. PLoS One 2018, 13:e0201097.

  5. Malik SS, Zia A, Rashid S, Mubarik S, Masood N, Hussain M et al.: XPC as breast cancer susceptibility gene: evidence from genetic profiling, statistical inferences and protein structural analysis. Breast Cancer2020 Nov;27(6):1168-1176.

  6. Warner ET, Colditz GA, Palmer JR, Partridge AH, Rosner BA, Tamimi RM: Reproductive Factors and Risk of Premenopausal Breast Cancer by Age at Diagnosis: Are There Differences Before and After Age 40? Breast Cancer Res Treat 2014, 142(1):165-75. 

  7. Den Tonkelaar I, de Waard F. Regularity and length of menstrual cycles in women aged 41-46 in relation to breast cancer risk: results from the DOM-project. Breast Cancer Res Treat. 1996;38(3):253-8.

  8. Park JW, Han K, Shin DW, Yeo Y, Chang JW, Yoo JE et al.: Obesity and breast cancer risk for pre- and postmenopausal women among over 6 million Korean women. Breast Cancer Res Treat 3 October2020.

  1. Wu Yea: Physical activity and risk of breast cancer: a meta-analysis of prospective studies. Breast Cancer Res Treat 2013, 137(3):869-82.

  2. Dieli-conwright CM, Lee K, Kiwata JL: Reducing the Risk of Breast Cancer Recurrence : an Evaluation of the Effects and Mechanisms of Diet and Exercise. Current Breast Cancer Reports 2016:139-150.

  3. Gabrielson M, Chiesa F, Behmer C, Rnnow K, Czene K, Hall P: Association of reproductive history with breast tissue characteristics and receptor status in the normal breast. Breast Cancer Research and Treatment 2018, 170:487-497.

  4. Lambertini M, Santoro L, Del Mastro L, Nguyen B, Livraghi L, Ugolini D et al.: Reproductive behaviors and risk of developing breast cancer according to tumor subtype: A systematic review and meta-analysis of epidemiological studies. Cancer Treat Rev 2016, 49:65-76.

  5. Nguyen B, Venet D, Lambertini M, Desmedt C, Salgado R, Horlings HM et al.: Imprint of parity and age at first pregnancy on the genomic landscape of subsequent breast cancer. Breast Cancer Res 2019, 21:25.

  6. Nguyen J, Le QH, Duong BH, Sun P, Pham HT, Ta VT et al.: A Matched Case-Control Study of Risk Factors for Breast Cancer Risk in Vietnam. Int J Breast Cancer 2016:7164623.

  7. Collaborative Group on Hormonal Factors in Breast Cancer.: Menarche, menopause, and breast cancer risk: individual participant meta-analysis, including 118 964 women with breast cancer from 117 epidemiological studies. Lancet Oncol 2012, 13:1141-1151.

  8. Ramon EA: Age at first full-term pregnancy, lactation and parity and risk of breast cancer: a case-control study in Spain. Eur J epidemiology 1996, 12(5):449-453.

  9. Ma H, Henderson KD, Sullivan-Halley J, Duan L, Marshall SF, Ursin G et al.: Pregnancy-related factors and the risk of breast carcinoma in situ and invasive breast cancer among postmenopausal women in the California Teachers Study cohort. Breast cancer research 2010, 12 (3):R35.

  10. Parazzini Fea: Hysterectomy, oophorectomy in premenopause, and risk of breast cancer. Obstet Gynecol. 1997 Sep;90(3):453-6. 

  11. Press DJ, Sullivan-Halley J, Ursin G, Deapen D, McDonald JA, Strom BL et al.: Breast cancer risk and ovariectomy, hysterectomy, and tubal sterilization in the women's contraceptive and reproductive experiences study. American Journal of Epidemiology 2011, 173:38-47.

  12. Yoo TK, Han KD, Kim D, Ahn J, Park WC, Chae BJ: Hormone Replacement Therapy, Breast Cancer Risk Factors, and Breast Cancer Risk: A Nationwide Population-Based Cohort. Cancer Epidemiol Biomarkers Prev 2020, 29:1341-1347.

  13. Beral V, Banks E, Bull D, Reeves G: Breast cancer and hormone replacement therapy in the Million Women Study. Lancet 2003, 362:419-427.

  14. Gierisch JM, Coeytaux RR, Urrutia RP, Havrilesky LJ, Moorman PG, Lowery WJ et al.: Oral Contraceptive Use and Risk of Breast, Cervical, Colorectal, and Endometrial Cancers: A Systematic Review. Cancer Epidemiology Biomarkers & Prevention 2013, 22:1931-1943.

  15. Ministry of Health Palestine (MoH). Ministry of Health reveals statistics about cancer in Palestine. 2017.

  1. Darweesh A: Risk Factors of Breast Cancer among Palestinian Women in North West Bank. 2009. Master thesis.

  2. Kharroubi A, Abu Seir A: Cancer Care in Palestine. In  Cancer Care in Countries and Societies in Transition. 2016:77-97.

  3. Halahleh K, Gale RP: Cancer care in the Palestinian territories. Lancet Oncol 2018, 19:e359-e364.

  4. Robert et al SA: Socioeconomic Risk Factors for Breast Cancer. Epidemiology 2004, 15:442-450.

  5. Ysot Kea: Socioeconomic status and breast cancer incidence in California for different race/ethnic groups. Cancer Causes & Control 2001, 12:703-11.

  6. Faggiano F: Socioeconomic differences in cancer incidence and mortality. IARC Sci Publ. 1997, 138:65-176.

  7. El Saghir NS, Khalil MK, Eid T, El Kinge AR, Charafeddine M, Geara F et al.: Trends in epidemiology and management of breast cancer in developing Arab countries: A literature and registry analysis. International Journal of Surgery 2007, 5:225-233.

  8. Hvidtfeldt UA, Lange T, Andersen I, Diderichsen F, Keiding N, Prescott E, Sørensen TI, Tjønneland A, Rod NH. Educational differences in postmenopausal breast cancer--quantifying indirect effects through health behaviors, body mass index and reproductive patterns. PLoS One. 2013 Oct 24;8(10):e78690. 

  9. Malley MSO, Earp JA, Hawley ST, Schell MJ, Holly F: The Association of Race / Ethnicity , Socioeconomic Status , and Physician Recommendation for Mammography : Who Gets the Message About Breast Cancer Screening ?American Journal of Public Health 2001 January; 91(1): 49-54

  10. Clegg LX, Reichman ME, Miller BA, Hankey BF, Singh GK, Lin YD et al.: Impact of socioeconomic status on cancer incidence and stage at diagnosis: selected findings from the surveillance, epidemiology, and end results: National Longitudinal Mortality Study. Cancer Causes Control 2009, 20:417-435.

  11. Jaber L, Shohat T, Rotter JI, Shohat M: Consanguinity and common adult diseases in Israeli Arab communities. Am J Med Genet 1997, 70:346-348.

  12. Bardaweel S.K, Akour A.A., Al Muhaissen S. AlSalamat H.A., Ammar, K., Oral contraceptive and breast cancer: do benefits outweigh the risks? A case - control study from Jordan. BMC Women Health, 2019; 19, 72.

  1. Slattery ML, Kerber RA. A Comprehensive Evaluation of Family History and Breast Cancer Risk: The Utah Population Database. JAMA.1993;270(13):1563–1568.

  2. Bener A, Ayoubi HR, Ali AI, Al Kubaisi A, Al Sulaiti H: Does consanguinity lead to decreased incidence of breast cancer? Cancer Epidemiol 2010, 34:413-418.

  3. Pharoah PD, Day NE, Duffy S, Easton DF, Ponder BA: Family history and the risk of breast cancer: a systematic review and meta-analysis. International Journal of Cancer 1997, 71:800-809.

  4. Hamdi-Cherif M, Serraino D, Bouad S, Dib A, Boudaoud K, Atoui S et al.: Sociodemographic and Reproductive Risk Factors for Breast Cancer: A Case-Control Study in the Setif Province, Northern Algeria. Asian Pac J Cancer Prev 2020, 21:457-464.

  5. Hsieh CC ea: Age at menarche, age at menopause, height and obesity as risk factors for breast cancer: associations and interactions in an international case-control study. pubmed 1990, 46(5): 796-800.

  1. Ma H, Bernstein L, Pike MC, Ursin G: Reproductive factors and breast cancer risk according to joint estrogen and progesterone receptor status : a meta-analysis of epidemiological studies. 2006, 8:1-11.

  2. Clavel chapelon ea: Cumulative number of menstrual cycles and breast cancer risk: results from the E3N cohort study of French women. Cancer Causes Control. 2002, 13(9):831-8

  3. PCBS (Palestinian Central Bureau of Statistics). Literacy Rate of Persons (15 Years and Over) in the West Bank by Age Groups and Sex, 1995, 1997, 2000-2016. 2017.

  4. Elkum, N., Al-Tweigeri, T., Ajarim, D. et al.Obesity is a significant risk factor for breast cancer in Arab women. BMC Cancer2014, 14 (788):2-10.

  5. Shema Lea: The association between breastfeeding and breast cancer occurrence among Israeli Jewish women: a case control study. J Cancer Res Clin Oncol. 2007, 133(8):539-546.

  6. Russo J, Hu YF, Yang X, Russo IH. Developmental, cellular, and molecular basis of human breast cancer. J Natl Cancer Inst Monogr. 2000;(27):17-37.

  7. Collaborative Group on Hormonal Factors in Breast Cancer: Breast cancer and breastfeeding: collaborative reanalysis. The Lancet 2002, 360 (9328)187-195.

  8. Furberg H, Newman B, Moorman P, Millikan R. Lactation and breast cancer risk. Int J Epidemiol. 1999 Jun;28(3):396-402. 

  9. Wasileh PN, Norton M, Al-Masarweh I: Risk Factors for Breast Cancer in Jordanian Women.  Journal of Nursing Scholarship 2004.19-25

  10. Bardaweel SK, Akour AA, Al Muhaissen S, AlSalamat HA, Ammar K: Oral contraceptive and breast cancer: do benefits outweigh the risks? A case - control study from Jordan. BMC Womens Health 2019, 19:72.

  11. Moorman PG, Havrilesky LJ, Gierisch JM, Coeytaux RR, Lowery WJ, Urrutia RP et al.: Oral contraceptives and risk of ovarian cancer and breast cancer among high-risk women: A systematic review and meta-analysis. Journal of Clinical Oncology 2013, 31:4188-4198.

  12. Marchbanks PA, McDonald JA, Wilson HG, Folger SG, Mandel MG, Daling JR et al.: Oral contraceptives and the risk of breast cancer. N Engl J Med 2002, 346:2025-2032.

  13. Alipour S, Omranipour R, Malekzadeh R, Poustchi H, Pourshams A, Khoshnia M et al.: A Case-Control Study of Breast Cancer in Northeast of Iran: The Golestan Cohort Study. Arch Iran Med 2019, 22:355-360.

  14. Balekouzou A, Yin P, Pamatika CM, Bekolo CE, Nambei SW, Djeintote M et al.: Reproductive risk factors associated with breast cancer in women in Bangui: a case-control study. BMC Womens Health 2017, 17:14.

  15. Bottcher B, Abu-El-Noor M, Abu-El-Noor N: Choices and services related to contraception in the Gaza strip, Palestine: perceptions of service users and providers. BMC Womens Health 2019, 19:165.

  16. Martino S, Cauley JA, Barrett-Connor E, Powles TJ, Mershon J, Disch D et al.: Continuing outcomes relevant to Evista: Breast cancer incidence in postmenopausal osteoporotic women in a randomized trial of raloxifene. Journal of the National Cancer Institute 2004, 96:1751-1761.

  17. Howell A, Evans GD. Hormone replacement therapy and breast cancer. Recent Results Cancer Res. 2011;188:115-24.