Investigation Risk Factors for Breast Cancer in Women: A Case–Control Study in Arak, Iran

DOI: https://doi.org/10.21203/rs.3.rs-57287/v1

Abstract

Background

Breast cancer is the most common malignant in women globally. In Iran, breast cancer incidence rate is continuously increasing. This study aimed to investigate the risk factors for breast cancer in Iranian women.

Methods

A hospital-based case-control study was conducted between September 2016 and July 2019 in Arak, Iran. The sample size was 400 breast cancer patients and 400 healthy women. Demographical records and risk factor related data were collected. Logistic regression analysis used to calculate odds ratios (ORs) and 95% confidence intervals (CIs).

Results

Data showed that among various factors, urban life (OR = 1.361, 95% CI 1.025–1.808, P = 0.033), height (OR = 3.347, 95% CI 2.0443–5.480, P = 0.000), BMI (OR = 0.397, 95% CI 0.273–0.577, P = 0.000), education level (OR = 7.048, 95% CI 3.985–12.467, P = 0.000), awareness level (OR = 0.507, 95% CI 0.349–0.736, P = 0.000), job status (OR = 0.321, 95% CI 0.122–0.846, P = 0.022), economic status (OR = 4.333, 95% CI 1.424–13.184, P = 0.010), early menarche (OR = 2.815, 95% CI 1.745–4.541, P = 0.000), Stillbirth status (OR = 1.935, 95% CI 1.087–3.446, P = 0.025), family history (OR = 10.281, 95% CI 3.628–29.134, P = 0.000), behavioral habits (OR = 0.554, 95% CI 0.386–0.796, P = 0.001), and second-hand smoking (OR = 1.472, 95% CI 1.108–1.955, P = 0.008) significantly were associated with an increased risk for breast cancer.

Conclusion

The data suggest that lifestyle may have more impact on the incidence of breast cancer in Iranian women, suggesting change unhealthy lifestyle and screening for preventing breast cancer.

Background

Cancer is one of the main global health issues, with an estimated 10 million incidents and 6 million annual mortality rates, and this figure is estimated to reach 11 million by 2030 [1]. Breast cancer is the most prevalent cancer and the leading cause of death among women globally [1, 2]. The incidence of breast cancer and mortality rates differs in various centuries, the highest incidence rate belongs to the USA and the lowest reported in Asia. Nevertheless, the incidence is increasing in Asian countries [3]. In Iran, breast cancer is one of the most frequent cancers in women and its incidence rate is continuously increasing. Incidence age in Iranian women is in the fourth and fifth decades of life, which is a decade younger than the global age of incidence [4]. Breast cancer is a multifactorial disease that caused due genetics, hormones, environmental, sociobiology, physiology, reproductive, dietary and lifestyle-related risk factors [57]. Identifying risk factors can play an important role in reducing/preventing the risk of breast cancer which, in turn, results in reducing mortality rates, improving the health of women, increasing the quality of life, and reducing the economic and social costs [1]. When risk factors are well understood, healthcare providers can supply women with more accurate information regarding their risk of developing breast cancer [8]. Worldwide, numerous studies have sought to know the risk factors for breast cancer. However, there has been no consensus because of differences in sample sizes, races that comprised study populations, and local customs [9, 10]. Besides, the risk factors of breast cancer may vary among different populations [11]. Currently, national monitoring data on risk factors among the Chinese general population are limited. The aim of this study was to investigate the risk factors for breast cancer in Iranian women in Arak. Risk factors determined in our study will help to identify Iranian women who have an increased risk of breast cancer and support effective early detection and disease prevention interventions.

Methods

This hospital-based and case-control study was approved from the ethics committee of Arak University of Medical Sciences, Arak, Iran (IR.ARAKMU.REC.1395.288) and conducted between September 2016 and July 2019 at the Ayatollah Khansari Hospital in Arak, Iran. The sample size is determined using Quanto 1.2 application. That was obtained using substitution on the software with α = 0.05 and power of 80% and calculated sample size of 400 in each group [12]. A sample size of 400 cases including women with breast cancer that diagnosed with breast cancer by an oncologist with pathological tests and 400 controls including healthy women without breast cancer was found to be adequate to test the significance. Control samples were prepared by women in the same hospital. Cases and controls were age-matched. Socio-demographic, reproductive, behavioral habits and chronic diseases data as probable risk factors data were collected from both groups using a questionnaire face to face. The questionnaire consisted of details including socio-demographic data such as name, age, height, weight, location, education status, job status, economic status, awareness of breast cancer and reproductive information including age at menarche, age at menopause, nulliparous status, number of births, marital status and first childbirth status, stillbirth, abortion status, oral contraceptives status, breastfeeding, and behavioral habits information like diet (lack of consumption of vegetables and fruits and consumption of food high-fat, fried food and fast food), smoking, physical activity, second-hand smoking and chronic diseases information including hypertension, diabetes mellitus, family history of breast cancer (first and second degree relatives). BMI (kg/m2) was categorized as; normal range 18.5 to 24.9 kg/m2, overweight 25 to 30 kg/m2 and obese ≥ 30 kg/m2 [13, 14]. Statistical analysis was done using the software SPSS version 16. Binary logistic regression analysis was performed to evaluate the association of various risk factors with the risk of breast cancer, displayed as odds ratios (OR) with 95% confidence intervals. P < 0.05 was considered statistically significant.

Results

Risk factors for breast cancer in a statistical population that total of 800 women, including women who have been diagnosed with breast cancer (cases, n = 400) and women who don’t have breast cancer (controls, n = 400), were studied. Socio-demographic characteristics and their association with risk of breast cancer for the case and control groups are shown in Table 1. Mean age of the cases was 51.50 years ranging from 26 to 87 years and mean age of control was 50.47 years ranging from 24 to 85 years. As shown in Table 1, of the 400 cases, 4 (1%) were aged 20–30 years, 40 (10%) were aged 31–40 years, 149 (37.25%) were aged 41–50 years, 131 (32.75%) were aged 51–60 years, 55 (13.75%) were aged 61–70 years, 17 (4.25%) were aged 71–80 years and 4 (1%) were aged 81–90 years. There were no significant differences between cases and controls about age (Table 1).

Table 1

Socio-demographic risk factors for breast cancer derived from binary logistic regression analysis.

Variable

Defined status

Cases, n (%)

Controls, n (%)

OR

95% CI

p-value

Age (year)

81–90

71–80

61–70

51–60

41–50

31–40

20–30

4 (1%)

17 (4.25%)

55 (13.75%)

131 (32.75%)

149 (37.25%)

40 (10%)

4 (1%)

6 (1.5%)

16 (4%)

56 (14%)

114 (28.5%)

134 (33.5%)

69 (17.25%)

5 (1.25%)

1.00 (ref.)

1.594

1.473

1.724

1.668

0.780

1.200

1.00 (ref.)

0.379–6.711

0.394–5.508

0.475–6.261

0.461–6.038

0.231–3.267

0.194–7.441

0.525

0.565

0.408

0.436

0.836

0.845

Weight (Kg)

≥ 76

63–75

≤ 62

108 (27%)

208 (52%)

84 (21%)

96 (24%)

200 (50%)

104 (26%)

1.00 (ref.)

0.924

0.718

1.00 (ref.)

0.660–1.294

0.482–1.069

0.647

0.103

Height (Cm)

≥ 165

158–164

≤ 157

24 (6%)

164 (41%)

212 (53%)

96 (24%)

196 (49%)

108 (27%)

1.00 (ref.)

3.347

7.852

1.00 (ref.)

2.044–5.480

4.745–12.994

0.000

0.000

Body mass index (kg/m2)

≥ 30

25–30

18.5–24.9

144 (36%)

176 (44%)

80 (20%)

100 (25%)

160 (40%)

140 (35%)

1.00 (ref.)

0.764

0.397

1.00 (ref.)

0.548–1.066

0.273–0.577

0.113

0.000

Location status

Urban

Rural

NA*

249 (62.25%)

148 (37%)

3 (0.75%)

220 (55%)

178 (44.5%)

2 (0.5%)

1.00 (ref.)

1.361

1.00 (ref.)

1.025–1.808

0.033

Education level

College

High school

Elementary

Uneducated

NA

19 (4.75%)

51 (12.75%)

186 (46.5%)

139 (34.75%)

5 (1.25%)

79 (19.75%)

134 (33.5%)

101 (25.25%)

82 (20.5%)

4 (1%)

1.00 (ref.)

1.582

7.657

7.048

1.00 (ref.)

0.872–2.871

4.390-13.356

3.985–12.467

0.131

0.000

0.000

Awareness level of BC*

High

Poor

NA

52 (13%)

339 (84.75%)

9 (2.25%)

92 (23%)

304 (76%)

4 (1%)

1.00 (ref.)

0.507

1.00 (ref.)

0.349–0.736

0.000

Job status

Retired

Housewife

Employee

Farmer

University student

NA

13 (3.25%)

338 (84.5%)

36 (9%)

6 (1.5%)

4 (1%)

3 (0.75%)

8 (2%)

301 (75.25%)

69 (17.25%)

5 (1.25%)

10 (2.5%)

7 (1.75%)

1.00 (ref.)

0.691

0.321

0.738

0.246

1.00 (ref.)

0.238–1.690

0.122–0.846

0.168–3.237

0.057–1.056

0.418

0.022

0.688

0.059

Economic status

High

Poor

Average

Good

NA

6 (1.5%)

52 (13%)

258 (64.5%)

79 (19.75%)

5 (1.25%)

11 (2.75%)

22 (5.5%)

243 (60.75%)

120 (30%)

4 (1%)

1.00 (ref.)

4.333

1.947

1.207

1.00 (ref.)

1.424–13.184

0.709–5.344

0.429–3.396

0.010

0.196

0.722

BC: Breast Cancer, NA: Not Available, CI: Confidence Interval, OR: Odds Ratio.

 

We found a significant difference in the height value of controls (158.6 ± 4.2 cm) and cases (161.4 ± 5.3 cm) (P < 0.05). The mean weight of controls was 70 ± 7.5 kg and that of cases 68 ± 7.3 kg (P > 0.05). In addition, 37% of the cases and 44.5% of the controls lived in the rural area. 7.25% of cases lived in the urban area, which was higher than of controls; there was statistical significant difference between location statuses and breast cancer in two groups (OR = 1.361, 95% CI 1.025–1.808, P = 0.033) (Table 1).

The mean BMI was 27.3 for cases and 25.7 for controls. 36% of cases had BMI ≥ 30 kg/m2 against 25% of controls. The BMI 18.5 to 24.9 kg/m2 for controls was 1.75 times higher than that of cases. We found a significant association between BMI 25 to 30 kg/m2 and breast cancer (OR = 0.397, 95% CI 0.273–0.577, P = 0.000). In other words, high BMI (overweight and obese) is associated with an increased risk of breast cancer.

The impact of education status was studied in two groups. The level of college education in controls was about 4-fold that of cases. There was a significant association between the level of education in statuses uneducated (OR = 7.048, 95% CI 3.985–12.467, P = 0.000) and elementary (OR = 7.657, 95% CI 4.390–13.356, P = 0.000) and breast cancer; so that increased levels of education are associated with a reduced risk of breast cancer. In case of awareness level, there was a significant association between awareness level and breast cancer (OR = 0.507, 95% CI 0.349–0.736, P = 0.000). In addition, the job status of the employee exhibited a significant association with the risk of breast cancer (OR = 0.321, 95% CI 0.122–0.846, P = 0.022) (Table 1). The economic status was investigated. We showed a significant relationship between the economic status of the poor and breast cancer in two groups (OR = 4.333, 95% CI 1.424–13.184, P = 0.010).

In keeping, we studied the association between reproductive factors and breast cancer (Table 2). We found that the mean age of menarche was 12.9 for cases and 13.3 for controls. There was significant statistical difference between the age of menarche in statuses < 12 (OR = 2.815, 95% CI 1.745–4.541, P = 0.000) and 12–13 (OR = 2.013, 95% CI 1.485–2.729, P = 0.000) with risk of breast cancer. Early menarche is associated with increased risk of breast cancer. Furthermore, menopause status (yes or no) and age were studied, which can be seen in Fig. 3. Mean age of menopause was 47.7 for cases and 47.5 for controls. There was no significant association between risk of breast cancer and menopause status as well as age (Table 2).

Table 2

Reproductive risk factors for breast cancer derived from binary logistic regression analysis.

Variable

Defined status

Cases, n (%)

Controls, n (%)

OR

95% CI

p-value

Age at menarche (year)

≥ 14

12–13

< 12

NA*

121 (30.25%)

212 (53%)

60 (15%)

7 (1.75%)

193 (48.25%)

168 (42%)

34 (8.5%)

5 (1.25%)

1.00 (ref.)

2.013

2.815

1.00 (ref.)

1.485–2.729

1.745–4.541

0.000

0.000

Age at menopause (years)

No

> 50

45–50

< 45

NA

197 (49.25%)

47 (11.75%)

99 (24.75%)

49 (12.25%)

8 (2%)

204 (51%)

41 (10.25%)

92 (23%)

57 (14.25%)

6 (1.5%)

1.00 (ref.)

1.187

1.114

0.890

1.00 (ref.)

0.748–1.885

0.789–1.573

0.580–1.367

0.467

0.538

0.595

Marital status

Widowed

Single

Married

Divorced

NA

26 (6.5%)

33 (8.25%)

321 (80.25%)

13 (3.25%)

7 (1.75%)

25 (6.25%)

37 (9.25%)

318 (79.5%)

15 (3.75%)

5 (1.25%)

1.00 (ref.)

0.858

0.986

0.625

1.00 (ref.)

0.416–1.766

0.557–1.745

0.257–1.519

0.677

0.962

0.300

Number of children

≥ 2

< 2

No children

NA

219 (54.75%)

113 (28.25%)

61 (15.25%)

7 (1.75%)

202 (50.5%)

136 (34%)

57 (14.25%)

5 (1.25%)

1.00 (ref.)

0.766

0.987

1.00 (ref.)

0.560–1.049

0.656–1.485

0.097

0.950

Use of oral contraceptive pills

Yes

No

NA

199 (49.75%)

183 (45.75%)

18 (4.5%)

197 (49.25%)

187 (46.75%)

16 (4%)

1.00 (ref.)

0.980

1.00 (ref.)

0.737–1.304

0.892

Abortion status

Yes

No

NA

48 (12%)

345 (86.25%)

7 (1.75%)

39 (9.75%)

356 (89%)

5 (1.25%)

1.00 (ref.)

1.270

1.00 (ref.)

0.812–1.987

0.295

Stillbirth status

Yes

No

NA

35 (8.75%)

356 (89%)

9 (2.25%)

19 (4.75%)

374 (93.5%)

7 (1.75%)

1.00 (ref.)

1.935

1.00 (ref.)

1.087–3.446

0.025

Breastfeeding status

Yes

No

NA

312 (78%)

81 (20.25%)

7 (1.75%)

326 (81.5%)

69 (17.25%)

5 (2.25%)

1.00 (ref.)

0.815

1.00 (ref.)

0.571–1.165

0.262

NA: Not Available, CI: Confidence Interval, OR: Odds Ratio.

 

Marital status was investigated in two groups (Table 2). The frequency of single and married individuals in both groups did not differ much, thus, we found no association between the marital statuses and breast cancer.

Having children (yes or no) and number it (< 2 or ≥ 2) was investigated in two groups. Our finding indicated that there was no relationship between the numbers of children and breast cancer. In addition, data from Table 2 demonstrated that there was no significant relationship between the uses of oral contraceptive pills (OR = 0.980, 95% CI 0.737–1.304, P = 0.892), abortion status (OR = 1.270, 95% CI 0.812–1.987, P = 0.295) and breastfeeding status (OR = 0.815, 95% CI 0.571–1.165, P = 0.262) and breast cancer; in contrast there was a significant relationship between the stillbirth status (OR = 1.935, 95% CI 1.087–3.446, P = 0.025) and breast cancer.

Through Table 3, we presented the association between risk of breast cancer and either chronic diseases or behavioral habits. There was no significant association between breast cancer and the hypertension (OR = 1.252, 95% CI 0.737–1.304, P = 0.306) as well as diabetes mellitus (OR = 1.332, 95% CI 0.638–2.781, P = 0.445). However, we showed a statistically significant association between the family history and breast cancer (first-degree relatives, OR = 10.281, 95% CI 3.628–29.134, P = 0.000) and (second-degree relatives, OR = 3.324, 95% CI 1.403–7.874, P = 0.000).

Table 3

Chronic diseases and behavioral habits risk factors for breast cancer derived from binary logistic regression analysis.

Variable

Defined status

Cases, n (%)

Controls, n (%)

OR

95% CI

p-value

Hypertension

Yes

No

NA*

52 (13%)

340 (85%)

8 (2%)

43 (10.75%)

352 (88%)

5 (1.25%)

1.00 (ref.)

1.252

1.00 (ref.)

0.814–1.926

0.306

Diabetes mellitus

Yes

No

NA

17 (4.25%)

375 (93.75%)

8 (4%)

13 (3.25%)

382 (95.5%)

5 (1.25%)

1.00 (ref.)

1.332

1.00 (ref.)

0.638–2.781

0.445

Family history of BC (first-degree relatives)

Yes

No

NA

37 (9.25%)

350 (87.5%)

13 (3.25%)

4 (1%)

389 (97.25%)

7 (1.75%)

1.00 (ref.)

10.281

1.00 (ref.)

3.628–29.134

0.000

Family history of BC (second-degree relatives)

Yes

No

NA

22 (5.5%)

365 (91.25%)

13 (3.25%)

7 (1.75%)

386 (96.5%)

7 (1.75%)

1.00 (ref.)

3.324

1.00 (ref.)

1.403–7.874

0.006

Dietary status

Healthy diet

Unhealthy diet

NA

295 (73.75%)

94 (23.5%)

11 (2.75%)

334 (83.5%)

59 (14.75%)

7 (1.75%)

1.00 (ref.)

0.554

1.00 (ref.)

0.386–0.796

0.001

Physical activity

Yes

No

NA

119 (29.75%)

270 (67.5%)

11 (2.75%)

128 (32%)

265 (66.25%)

7 (1.75%)

1.00 (ref.)

0.912

1.00 (ref.)

0.675–1.234

0.552

Smoking status

Yes

No

NA

4 (1%)

389 (97.25%)

7 (1.75%)

3 (0.75%)

392 (98%)

5 (1.25%)

1.00 (ref.)

1.344

1.00 (ref.)

0.299–6.043

0.700

Second-hand smoking status

Yes

No

NA

244 (61%)

149 (37.25%)

7 (1.75%)

208 (52%)

187 (46.75%)

5 (1.25%)

1.00 (ref.)

1.472

1.00 (ref.)

1.108–1.955

0.008

Alcohol consumption

Yes

No

NA

1 (0.25%)

392 (98%)

7 (1.75%)

2 (0.5%)

393 (98.25%)

5 (1.25%)

1.00 (ref.)

0.501

1.00 (ref.)

0.045–5.551

0.573

NA: Not Available, BC: Breast Cancer, CI: Confidence Interval, OR: Odds Ratio.

 

In keeping, we evaluated the impact of behavioral habits on the risk of breast cancer. Dietary status of individuals in both groups was studied by asking questions. In this regard, 73.75% of cases have healthy diet including high or sufficient consumption of vegetables and fruits, low or no consumption of high-fat food, fried food and fast food and 23.5% of controls have unhealthy diet including low or no consumption of vegetables and fruits, high consumption of high-fat food, fried food and fast food. The dietary status was associated with risk of breast cancer in cases and controls (OR = 0.554, 95% CI 0.386–0.796, P = 0.001). There was no significant association between the physical activity (OR = 0.912, 95% CI 0.675–1.234, P = 0.552), smoking status (OR = 1.344, 95% CI 0.299–6.043, P = 0.700) and alcohol drinking status (OR = 0.501, 95% CI 0.045–5.551, P = 0.573) and breast cancer, in contrast the second-hand smoking status exhibited a significant relationship with risk of breast cancer (OR = 1.472, 95% CI 1.108–1.955, P = 0.008) (Table 3).

Discussion

In Iran, along with worldwide, breast cancer is one of the most frequent cancers [4]. We performed a case-control study involving 800 Iranian women to evaluate the relationship between breast cancer and such risk factors as socio-demographic, reproductive, chronic diseases, and behavioral habits.

As shown in Table 1, we found that more than 48% of patients were younger than 50 years, patients were between 41–50 years, which is in line with results of Akbari et al. study [4]. This confirms breast cancer patients in Iran are relatively young and breast cancer occurs a decade earlier in Iranian women in comparison with women of western countries [15]. In addition, our study provides additional support for a great risk factor for patients living in urban regions, a finding that is consistent with previous studies [16, 17]. Breast cancer shows a large urban-rural difference worldwide [18]. Due to differences in lifestyle, dietary choices, and the environmental pollution in urban life, it was considered as a risk factor for breast cancer incidence in contrast to rural life factor [14, 19, 20]. In contrast, in a study conducted on Chinese women by Liu et al. the converse results were reported, where the rural life was considered as a risk factor for breast cancer [11].

Weight gain increases the risk of breast cancer [21]. Weight loss in early adulthood and after menopause is related to reduced breast cancer risk [22, 23]. In contrast, it was confirmed that excess body weight protects against premenopausal breast cancer risk [24]. Our study showed no significant relationship between weights and breast cancer. Besides, previous studies showed that taller women have a higher risk of breast cancer than shorter women [25, 26]. But in our study, there was a significant association between height status of short and the risk of breast cancer. Further studies are needed on the association between height and the risk of breast cancer. High values of BMI are associated with increased risk of breast cancer after menopause [27, 28]. Similar to previous reports, we found an association between increasing BMI and the risk of breast cancer [11, 13]. This is probably due, in part, to higher estrogen levels because fat tissue is the largest source of estrogen in postmenopausal women [22].

The findings of various studies on the relationship of levels of education and breast cancer risk are controversial, but some studies have suggested an association [29, 30]. We found a correlation between low levels of education with an increased risk of breast cancer. In contrast, it was reported that there is no relationship between education status and risk of breast cancer [13, 31]. In keeping, in consistent with Liu et al.[11], we also showed a statistical significance difference between awareness level with risk of breast cancer. The high level of awareness about risk factors related to breast cancer and screening may help to prevent/ reduce the risk of breast cancer [32]. Women’s job is another factor that we involved in our study and showed a significant association between job status and breast cancer, supporting the results of previous studies [33, 34]. Women in professional and managerial jobs have 1.4-2.0 times greater risk of breast cancer than women in lower-status jobs [35]. A case-control study conducted by Chatchai et al. [36] reported an increased risk of breast cancer in women who worked in manufacturing, transport equipment operators and laborers. There was a significant association between the job status of the employee and the risk of breast cancer. In another word, the job status of the employee is associated with a reduced risk of breast cancer. Researchers believe that employee women generally have higher income and are more likely to use health insurance and spend the most on healthcare [37]. However, it seems that the association of job status with risk of breast cancer remains unknown or controversial [38, 39]. This needs further investigation. It was suggested that higher economic status is associated with increased breast cancer risk [40]. In contrast, our result suggested an association of the economic status of the poor with breast cancer that is consistent with data of Liu and co-workers [11].

The association between reproductive risk factors and breast cancer has previously been reported [41]. As can be seen in Table 2, we found the early menarche increased risk of breast cancer. Correlation between early menarche and increased breast cancer risk may be attributed to the earlier exposure and higher levels of estrogen experienced by women who had early menarche [42]. The results of our study on the age of menarche are consistent with other studies [42, 43]. Breast cancer risk increases with later menopause [44]. Women who experience menopause at age 55 or older have about a 12% higher risk compared to those who do so between ages 50–54 [45, 46]. In our study, we found no significant association between breast cancer risk and late menopauses. This is in good agreement with previous studies [29, 31]. In case of the marital status, in consistent with previous reports [13, 33], we demonstrated that there was no relationship between the marital status with the risk of breast cancer. However, others found a significant correlation between marital status and breast cancer [47].

A growing body of evidence showed that single women have a higher risk of breast cancer than married women [48]. Married, divorced, and widowed women have no inherent differences in their risk of breast cancer than with single women, and that the apparent protective effect of marriage maybe because of the age of their first pregnancy and childbirth [31, 49]. Nulliparous women are more at risk to attain breast cancer than those who have given birth many times. Women having children have 30% reduced risk compared to nulliparous women, in other words with each full-term pregnancy, the risk falls overall by 7% [50]. But in our study, as shown in Table 2, there was no association between the number of children (having or not having children) with breast cancer, which substantiates previous findings in the literature [13, 29]. These findings significantly differ from previous results reported in the literature [11, 31].

Use oral contraceptives pills has been associated with increased risk of breast cancer in young women [51, 52]. The International Agency for Research on Cancer came to deduction that there was sufficient evidence to support combined estrogen–progestin oral contraceptives carcinogenicity in humans, with an increased breast cancer risk [53]. In our study, there was no association between the use the oral contraceptives pills and breast cancer that is consistent with previous reports [5457]. Similarly, we found no association between abortion and breast cancer, which is consistent with previous studies [11, 54]. To best our knowledge, few studies have been conducted on the association between stillbirth and breast cancer. In a study, a significant association between stillbirth and reduced risk of breast cancer was reported [58]. We also found an association between the stillbirths and increased risk of breast cancer [58]. Breastfeeding has a protective role against risk of breast cancer [59]. In the 47 studies in 30 countries, the risk of breast cancer was reduced by 4% for any 12 months of breastfeeding [59]. Breastfeeding considered as an uncertain protective factor due to indecisive results [60]. But we obtained different results so that, there was no significant association between breastfeeding and breast cancer. Our results share a number of similarities with previous findings [11, 54]. It may discuss that marital status by itself is not a decisive factor for reduced or increased breast cancer risk.

We also investigated an association between chronic diseases and behavioral habits and risk of breast cancer. As shown in Table 3, the hypertension was not associated with breast cancer risk. Our data is consistent with studies conducted by Wang et al. [61] and Sun et al. [62]. One cohort study, one nested case-control study and ten case-control studies showed that hypertension is associated with increased risk of breast cancer [63]. In addition, in our study, in contrast with literature, there was no significant association between the risk of breast cancer and either diabetes [6466] or the physical activity [33, 67] and or the smoking status [33, 68]. But we found a significant association between the second-hand smoking and breast cancer, which shares similarity with findings of Reynolds et al. [69]. The majority of studies have shown that a family history of breast cancer is one of the major risk factors [24, 25]. In our study, we demonstrated that the family history of breast cancer, in the first degree relatives and second-degree relative was associated with the susceptibility to breast cancer.

We investigated behavioral habits as a risk factor for breast cancer (Table 3). The positive association between unhealthy dietary patterns (low or no consumption of vegetables and fruits, high consumption of high-fat food, fried food and fast food) and breast cancer has been reported [68]. In our study, we found that a healthy dietary was associated with a reduced risk for breast cancer risk, while an unhealthy dietary pattern was increased the risk of breast cancer. Our finding is consistent with previous reports [70, 71]. Increased consumption of fatty, fried, and fast foods should be replaced with an increase intake of fruits and vegetables so that, it is necessary to raise awareness about healthy diets and reduced risk of breast cancer. In some studies, the role of alcohol carcinogens and its association with breast cancer has been addressed [72, 73]. Numerous studies show that alcohol consumption increases the risk of breast cancer in the female by about 7%-10% for each 10 grams of alcohol consumed per day on average [74, 75]. We found a non-significant relationship between alcohol consumption and breast cancer so that consistent with some studies conducted [11, 76].

Our study has some limitations; since the present study is a hospital-based case-control study rather than population-based, it may make selection bias. In addition, it is notable that this hospital treats a part of the breast cancer cases in Arak, Iran. Most of the data were recorded from the women’s self-reports, thus bias was more possible; thus participants history records were checked.

Conclusion

In the present study, we showed that breast cancer patients in Iran are relatively young. We found a significant association between risk of breast cancer and urban life, height, BMI, awareness level, job status, economic status, early menarche, second-hand smoking, family history, and behavioral habits. However, we showed that there was no a significant association between breast cancer and such factors as weight, education level, late menopauses, marital status, the number of children, the oral contraceptives pills, abortion, chronic diseases, alcohol consumption, and breastfeeding. It seems that lifestyle factors exhibit a greater risk than the effects of chronic diseases and reproductive factors for breast cancer of women in Arak, Iran. Therefore, various modifiable factors may participate in the prevention of breast cancer risk in women in Iran. Determining and identifying the risk factors of breast cancer can play an important role in preventing the incidence of this disease so that a screening plan for high-risk female must be put on the agenda.

Abbreviations

BC: Breast Cancer, BMI: Body Mass Index, NA: Not Available, CI: Confidence Interval, OR: Odds Ratio

Declarations

Availability of data and materials

The primary data for this study is available from the authors on direct request.

Acknowledgments

Not applicable.

Funding

The current study was supported by a grant from Arak University of Medical Sciences, Arak, Iran (IR.ARAKMU.REC.1395.288)

Contributions

M.P. and J.A. conceived and designed the experiments. M.P performed the experiments. M.P and M. A, validated and analyzed the data and wrote the manuscript. J.R reviewed and edited the manuscript. All the authors discussed and approved the manuscript

Ethics declarations

Ethics approval and consent to participate

This hospital-based and case-control study was approved from the ethics committee of Arak University of Medical Sciences, Arak, Iran (IR.ARAKMU.REC.1395.288).

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests

References

  1. Al-Mahmood S, Sapiezynski J, Garbuzenko OB, Minko T. Metastatic and triple-negative breast cancer: challenges and treatment options. Drug delivery and translational research. 2018 Oct;8(5):1483-507.
  2. Antony MP, Surakutty B, Vasu TA, Chisthi M. Risk factors for breast cancer among Indian women: A case–control study. Nigerian journal of clinical practice. 2018;21(4).
  3. Rostami SM, Parsaei MR, Ahmadzadeh M: A survey on predicting breast cancer survivability and its challenges. UCT Journal of Research in Science, Engineering and Technology 2016:37-42.
  4. Akbari ME, Sayad S, Sayad S, Khayamzadeh M, Shojaee L, Shormeji Z, Amiri M. Breast cancer status in Iran: Statistical analysis of 3010 cases between 1998 and 2014. International journal of breast cancer. 2017;2017.
  5. Dine J, Deng CX. Mouse models of BRCA1 and their application to breast cancer research. Cancer and Metastasis Reviews. 2013 Jun 1;32(1-2):25-37.
  6. Momenimovahed Z, Salehiniya H. Epidemiological characteristics of and risk factors for breast cancer in the world. Breast Cancer: Targets and Therapy. 2019;11:151.
  7. Hegan DC, Lu Y, Stachelek GC, Crosby ME, Bindra RS, Glazer PM. Inhibition of poly (ADP-ribose) polymerase down-regulates BRCA1 and RAD51 in a pathway mediated by E2F4 and p130. Proceedings of the National Academy of Sciences. 2010 Feb 2;107(5):2201-6.
  8. Fei X, Wu J, Kong Z, Christakos G. Urban-rural disparity of breast cancer and socioeconomic risk factors in China. PLoS One. 2015;10(2).
  9. Andersen ZJ, Stafoggia M, Weinmayr G, Pedersen M, Galassi C, Jørgensen JT, Oudin A, Forsberg B, Olsson D, Oftedal B, Marit Aasvang G. Long-term exposure to ambient air pollution and incidence of postmenopausal breast cancer in 15 European cohorts within the ESCAPE project. Environmental health perspectives. 2017 Oct 13;125(10):107005.
  10. Balekouzou A, Yin P, Pamatika CM, Bekolo CE, Nambei SW, Djeintote M, Kota K, Mossoro-Kpinde CD, Shu C, Yin M, Fu Z. Reproductive risk factors associated with breast cancer in women in Bangui: a case–control study. BMC women's health. 2017 Dec;17(1):14.
  11. Al-Shaibani H, Bu-Alayyan S, Habiba S, Sorkhou E, Al-Shamali N, Al-Qallaf B. Risk factors of breast cancer in Kuwait: Case-Control study. Iranian Journal of Medical Sciences. 2006 Jun 1;31(2).
  12. Moradzadeh R, Mansournia MA, Baghfalaki T, Ghiasvand R, Noori-Daloii MR, Holakouie-Naieni K: Misclassification adjustment of family history of breast cancer in a case-control study: a Bayesian approach. Asian Pacific Journal of Cancer Prevention 2016, 16(18):8221-8226.
  13. Ebrahimi M, Vahdaninia M, Montazeri A. Risk factors for breast cancer in Iran: a case-control study. Breast cancer research. 2002 Oct;4(5):R10.
  14. Brophy JT, Keith MM, Watterson A, Park R, Gilbertson M, Maticka-Tyndale E, Beck M, Abu-Zahra H, Schneider K, Reinhartz A, DeMatteo R. Breast cancer risk in relation to occupations with exposure to carcinogens and endocrine disruptors: a Canadian case–control study. Environmental Health. 2012 Dec;11(1):87.
  15. Peplonska B, Stewart P, Szeszenia-Dąbrowska N, Lissowska J, Brinton LA, Gromiec JP, Brzeznicki S, Yang XR, Sherman M, García-Closas M, Blair A. Occupational exposure to organic solvents and breast cancer in women. Occupational and environmental medicine. 2010 Nov 1;67(11):722-9.
  16. Ekpanyaskul C, Khuhaprema T, Wiangnon S, Sangrajrang S. Case-control study of occupational categories and breast cancer risk in Thailand. Asian Pac J Cancer Prev. 2010 Jan 1;11(3):793-.
  17. Kuper H, Yang L, Theorell T, Weiderpass E. Job strain and risk of breast cancer. Epidemiology. 2007 Nov 1:764-8.
  18. Kruk J, Aboul-Enein HY. Environmental exposure, and other behavioral risk factors in breast cancer. Current Cancer Therapy Reviews. 2006 Feb 1;2(1):3-21.
  19. Brody JG, Moysich KB, Humblet O, Attfield KR, Beehler GP, Rudel RA. Environmental pollutants and breast cancer: epidemiologic studies. Cancer: Interdisciplinary International Journal of the American Cancer Society. 2007 Jun 15;109:2667-711.
  20. Akinyemiju TF, Pisu M, Waterbor JW, Altekruse SF. Socioeconomic status and incidence of breast cancer by hormone receptor subtype. Springerplus. 2015 Dec 1;4(1):508.
  21. Keum N, Greenwood DC, Lee DH, Kim R, Aune D, Ju W, Hu FB, Giovannucci EL. Adult weight gain and adiposity-related cancers: a dose-response meta-analysis of prospective observational studies. Journal of the National Cancer Institute. 2015 Feb 1;107(2):djv088.
  22. Picon‐Ruiz M, Morata‐Tarifa C, Valle‐Goffin JJ, Friedman ER, Slingerland JM. Obesity and adverse breast cancer risk and outcome: Mechanistic insights and strategies for intervention. CA: a cancer journal for clinicians. 2017 Sep;67(5):378-97.
  23. Chlebowski RT, Luo J, Anderson GL, Barrington W, Reding K, Simon MS, Manson JE, Rohan TE, Wactawski‐Wende J, Lane D, Strickler H. Weight loss and breast cancer incidence in postmenopausal women. Cancer. 2019 Jan 15;125(2):205-12.
  24. Nelson HD, Zakher B, Cantor A, Fu R, Griffin J, O'Meara ES, Buist DS, Kerlikowske K, van Ravesteyn NT, Trentham-Dietz A, Mandelblatt JS. Risk factors for breast cancer for women aged 40 to 49 years: a systematic review and meta-analysis. Annals of internal medicine. 2012 May 1;156(9):635-48.
  25. Elands RJ, Offermans NS, Simons CC, Schouten LJ, Verhage BA, van den Brandt PA, Weijenberg MP. Associations of adult‐attained height and early life energy restriction with postmenopausal breast cancer risk according to estrogen and progesterone receptor status. International journal of cancer. 2019 Apr 15;144(8):1844-57.
  26. Zhang B, Shu XO, Delahanty RJ, Zeng C, Michailidou K, Bolla MK, Wang Q, Dennis J, Wen W, Long J, Li C. Height and breast cancer risk: evidence from prospective studies and Mendelian randomization. Journal of the National Cancer Institute. 2015 Nov 1;107(11):djv219.
  27. Monninkhof EM, Elias SG, Vlems FA, van der Tweel I, Schuit AJ, Voskuil DW, van Leeuwen FE. Physical activity and breast cancer: a systematic review. Epidemiology. 2007 Jan 1:137-57.
  28. Iyengar NM, Arthur R, Manson JE, Chlebowski RT, Kroenke CH, Peterson L, Cheng TY, Feliciano EC, Lane D, Luo J, Nassir R. Association of body fat and risk of breast cancer in postmenopausal women with normal body mass index: a secondary analysis of a randomized clinical trial and observational study. JAMA oncology. 2019 Feb 1;5(2):155-63.
  29. Ho PJ, Lau HS, Ho WK, Wong FY, Yang Q, Tan KW, Tan MH, Chay WY, Chia KS, Hartman M, Li J. Incidence of breast cancer attributable to breast density, modifiable and non-modifiable breast cancer risk factors in Singapore. Scientific Reports. 2020 Jan 16;10(1):1-1.
  30. Angahar LT. An overview of breast cancer epidemiology, risk factors, pathophysiology, and cancer risks reduction. MOJ Biol Med. 2017;1(4):00019.
  31. Li L, Ji J, Wang JB, Niyazi M, Qiao YL, Boffetta P. Attributable causes of breast cancer and ovarian cancer in china: reproductive factors, oral contraceptives and hormone replacement therapy. Chinese Journal of Cancer Research. 2012 Mar 1;24(1):9-17.
  32. Park B, Park S, Shin HR, Shin A, Yeo Y, Choi JY, Jung KW, Kim BG, Kim YM, Noh DY, Ahn SH. Population attributable risks of modifiable reproductive factors for breast and ovarian cancers in Korea. BMC cancer. 2016 Dec 1;16(1):5.
  33. Okobia M, Bunker C, Zmuda J, Kammerer C, Vogel V, Uche E, Anyanwu S, Ezeome E, Ferrell R, Kuller L. Case–control study of risk factors for breast cancer in Nigerian women. International journal of cancer. 2006 Nov 1;119(9):2179-85.
  34. Anjum F, Razvi N, Maqbool A, Jahan N. A review of breast cancer risk factors. Univ. J. Pharm. Res. 2017;2(5):40-5.
  35. Laamiri FZ, Bouayad A, Hasswane N, Ahid S, Mrabet M, Amina B. Risk Factors for Breast Cancer of Different Age Groups: Moroccan Data?. Open Journal of Obstetrics and Gynecology. 2015 Jan 30;5(02):79.
  36. Gierisch JM, Coeytaux RR, Urrutia RP, Havrilesky LJ, Moorman PG, Lowery WJ, Dinan M, McBroom AJ, Hasselblad V, Sanders GD, Myers ER. Oral contraceptive use and risk of breast, cervical, colorectal, and endometrial cancers: a systematic review. Cancer Epidemiology and Prevention Biomarkers. 2013 Nov 1;22(11):1931-43.
  37. Thakur P, Seam RK, Gupta MK, Gupta M, Sharma M, Fotedar V. Breast cancer risk factor evaluation in a Western Himalayan state: A case–control study and comparison with the Western World. South Asian journal of cancer. 2017 Jul;6(3):106.
  38. Kim Y, Yoo KY, Goodman MT. Differences in incidence, mortality and survival of breast cancer by regions and countries in Asia and contributing factors. Asian Pac J Cancer Prev. 2015 Apr;16(7):2857-70.
  39. Washbrook E. Risk factors and epidemiology of breast cancer. Women's Health Medicine. 2006 Jan 1;3(1):8-14.
  40. Shakerinejad G, Hidarnia A, Motlagh ME, Karami K, Niknami S, Montazeri A. Factors predicting mood changes in oral contraceptive pill users. Reproductive health. 2013 Dec 1;10(1):45.
  41. International Agency for Research on Cancer. Working Group on the Evaluation of Carcinogenic Risks to Humans. Combined estrogen-progestogen contraceptives and combined estrogen-progestogen menopausal therapy. IARC Monogr Eval Carcinog Risks Hum. 2007;91:1-528.
  42. Committee on Gynecologic Practice. ACOG Committee Opinion No. 434: induced abortion and breast cancer risk. Obstetrics and gynecology. 2009 Jun;113(6):1417.
  43. Collaborative Group on Hormonal Factors in Breast Cancer. Breast cancer and abortion: collaborative reanalysis of data from 53 epidemiological studies, including 83 000 women with breast cancer from 16 countries. The Lancet. 2004 Mar 27;363(9414):1007-16.
  44. Gentilini O, Veronesi U. Collaborative Group on Hormonal Factors in Breast Cancer Breast cancer and breastfeeding: collaborative reanalysis of individual data from 47 epidemiological studies in 30 countries, including 50302 women with breast cancer and 96973 women without the disease. Lancet. 2002;360:187-95.
  45. Williams LA, Nichols HB, Hoadley KA, Tse CK, Geradts J, Bell ME, Perou CM, Love MI, Olshan AF, Troester MA. Reproductive risk factor associations with lobular and ductal carcinoma in the Carolina Breast Cancer Study. Cancer Causes & Control. 2018 Jan 1;29(1):25-32.
  46. Tworoger SS, Eliassen AH, Sluss P, Hankinson SE. A prospective study of plasma prolactin concentrations and risk of premenopausal and postmenopausal breast cancer. Journal of Clinical Oncology. 2007 Apr 20;25(12):1482-8.
  47. Chow WH, Dong LM. Devesa, Epidemiology and risk factors for kidney cancer. Nat Rev Urol. 2010;7(5):245-57.
  48. Wang M, Cheng N, Zheng S, Wang D, Hu X, Ren X, Pei H, Ma H, Mu H, Bai Y. Metabolic syndrome and the risk of breast cancer among postmenopausal women in North-West China. Climacteric. 2015 Nov 2;18(6):852-8.
  49. Gąsowski J, Piotrowicz K. Breast cancer, age, and hypertension: a complex issue. Hypertension. 2012 Feb;59(2):186-8.
  50. Montero JC, Ocana A, Abad M, Ortiz-Ruiz MJ, Pandiella A, Esparís-Ogando A. Expression of Erk5 in early stage breast cancer and association with disease free survival identifies this kinase as a potential therapeutic target. PloS one. 2009;4(5).
  51. Harding J, Sooriyakumaran M, Anstey KJ, Adams R, Balkau B, Briffa T, Davis TM, Davis WA, Dobson A, Giles GG, Grant J. The metabolic syndrome and cancer: is the metabolic syndrome useful for predicting cancer risk above and beyond its individual components?. Diabetes & metabolism. 2015 Dec 1;41(6):463-9.
  52. Noh HM, Song YM, Park JH, Kim BK, Choi YH. Metabolic factors and breast cancer risk in Korean women. Cancer Causes & Control. 2013 Jun 1;24(6):1061-8.
  53. Mourouti N, Papavagelis C, Kontogianni MD, Plytzanopoulou P, Vassilakou T, Malamos N, Linos A, Panagiotakos DB. Cardiometabolic factors and breast cancer: A case-control study in women. The Open Hypertension Journal. 2013 Nov 15;5(1).
  54. Bahrami A, Aledavood A, Anvari K, Hassanian SM, Maftouh M, Yaghobzade A, Salarzaee O, ShahidSales S, Avan A. The prognostic and therapeutic application of microRNAs in breast cancer: Tissue and circulating microRNAs. Journal of cellular physiology. 2018 Feb;233(2):774-86.
  55. Abdeahad H, Bahrami A, Saeedi N, Shabani M, Pezeshki M, Khazaei M, Shafiee M, Ghorbani E, Ferns GA, Soleimanpour S, Rahmani F. Association between genetic variants at 9p21 locus with risk of breast cancer: A systematic review and meta-analysis. Pathology-Research and Practice. 2020 Apr 26:152987.
  56. Largent JA, Bernstein L, Horn-Ross PL, Marshall SF, Neuhausen S, Reynolds P, Ursin G, Zell JA, Ziogas A, Anton-Culver H. Hypertension, antihypertensive medication use, and breast cancer risk in the California Teachers Study cohort. Cancer Causes & Control. 2010 Oct 1;21(10):1615-24.
  57. Inoue M, Noda M, Kurahashi N, Iwasaki M, Sasazuki S, Iso H, Tsugane S, Japan Public Health Center-based Prospective Study Group. Impact of metabolic factors on subsequent cancer risk: results from a large-scale population-based cohort study in Japan. European Journal of Cancer Prevention. 2009 Jun 1;18(3):240-7.
  58. Anderson GL, Chlebowski RT, Aragaki AK, Kuller LH, Manson JE, Gass M, Bluhm E, Connelly S, Hubbell FA, Lane D, Martin L. Conjugated equine oestrogen and breast cancer incidence and mortality in postmenopausal women with hysterectomy: extended follow-up of the Women's Health Initiative randomised placebo-controlled trial. The lancet oncology. 2012 May 1;13(5):476-86.
  59. Wolf I, Sadetzki S, Catane R, Karasik A, Kaufman B. Diabetes mellitus and breast cancer. The lancet oncology. 2005 Feb 1;6(2):103-11.
  60. Tabassum I, Mahmood H, Faheem M. Type 2 diabetes mellitus as a risk factor for female breast cancer in the population of Northern Pakistan. Asian Pacific Journal of Cancer Prevention. 2016 Jul 1;17(7):3255-8.
  61. Ahern TP, Sprague BL, Bissell MC, Miglioretti DL, Buist DS, Braithwaite D, Kerlikowske K. Family history of breast cancer, breast density, and breast cancer risk in a US breast cancer screening population. Cancer Epidemiology and Prevention Biomarkers. 2017 Jun 1;26(6):938-44.
  62. Sweeney C, Blair CK, Anderson KE, Lazovich D, Folsom AR. Risk factors for breast cancer in elderly women. American Journal of Epidemiology. 2004 Nov 1;160(9):868-75.
  63. McTiernan A, Friedenreich CM, Katzmarzyk PT, Powell KE, Macko R, Buchner D, Pescatello LS, Bloodgood B, Tennant B, Vaux-Bjerke A, George SM. Physical activity in cancer prevention and survival: a systematic review. Medicine & Science in Sports & Exercise. 2019 Jun 1;51(6):1252-61.
  64. Kyu HH, Bachman VF, Alexander LT, Mumford JE, Afshin A, Estep K, Veerman JL, Delwiche K, Iannarone ML, Moyer ML, Cercy K. Physical activity and risk of breast cancer, colon cancer, diabetes, ischemic heart disease, and ischemic stroke events: systematic review and dose-response meta-analysis for the Global Burden of Disease Study 2013. bmj. 2016 Aug 9;354:i3857.
  65. Pizot C, Boniol M, Mullie P, Koechlin A, Boniol M, Boyle P, Autier P. Physical activity, hormone replacement therapy and breast cancer risk: A meta-analysis of prospective studies. European Journal of Cancer. 2016 Jan 1;52:138-54.
  66. Rosner B, Eliassen AH, Toriola AT, Chen WY, Hankinson SE, Willett WC, Berkey CS, Colditz GA. Weight and weight changes in early adulthood and later breast cancer risk. International journal of cancer. 2017 May 1;140(9):2003-14.
  67. Cheraghi Z, Poorolajal J, Hashem T, Esmailnasab N, Irani AD. Effect of body mass index on breast cancer during premenopausal and postmenopausal periods: a meta-analysis. PloS one. 2012;7(12).
  68. Russo J, Tahin Q, Lareef MH, Hu YF, Russo IH. Neoplastic transformation of human breast epithelial cells by estrogens and chemical carcinogens. Environmental and molecular mutagenesis. 2002;39(2‐3):254-63.
  69. Kim A, Ko HJ, Kwon JH, Lee JM. Exposure to secondhand smoke and risk of cancer in never smokers: A meta-analysis of epidemiologic studies. International journal of environmental research and public health. 2018 Sep;15(9):1981.
  70. Shantakumar S, Gammon MD, Eng SM, Sagiv SK, Gaudet MM, Teitelbaum SL, Britton JA, Terry MB, Paykin A, Young TL, Wang LW. Residential environmental exposures and other characteristics associated with detectable PAH-DNA adducts in peripheral mononuclear cells in a population-based sample of adult females. Journal of Exposure Science & Environmental Epidemiology. 2005 Nov;15(6):482-90.
  71. White AJ, D’Aloisio AA, Nichols HB, DeRoo LA, Sandler DP. Breast cancer and exposure to tobacco smoke during potential windows of susceptibility. Cancer Causes & Control. 2017 Jul 1;28(7):667-75.
  72. Miller ER, Wilson C, Chapman J, Flight I, Nguyen AM, Fletcher C, Ramsey I. Connecting the dots between breast cancer, obesity and alcohol consumption in middle-aged women: ecological and case control studies. BMC public health. 2018 Dec 1;18(1):460.
  73. Vieira R, Tobar JS, Dardes R, Thuler LC. Alcohol Consumption as a Risk Factor for Breast Cancer Development: A Case-Control Study in Brazil. Asian Pacific journal of cancer prevention: APJCP. 2018;19(3):703.
  74. Liu Y, Nguyen N, Colditz GA. Links between alcohol consumption and breast cancer: a look at the evidence. Women’s health. 2015 Jan;11(1):65-77.
  75. Jayasekara H, MacInnis RJ, Hodge AM, Room R, Milne RL, Hopper JL, Giles GG, English DR. Is breast cancer risk associated with alcohol intake before first full-term pregnancy?. Cancer Causes & Control. 2016 Sep 1;27(9):1167-74.
  76. Horn J, Vatten LJ. Reproductive and hormonal risk factors of breast cancer: a historical perspective. International journal of women's health. 2017;9:265.