Abstract
Background:
Breast cancer (BC) is one of the most common cancers in women. Among factors reducing BC mortality, referring to health centers for early diagnosis is important. The level of knowledge, attitude, and performance of women toward BC risk factors has a major contribution in deciding to refer to a health center for early diagnosis.Objectives:
The present study aimed to assess the level of knowledge, attitude, and performance of women referring to Kashan and Aran-O-Bidgol comprehensive health centers toward breast cancer risk factors.Methods:
This cross-sectional study was conducted on 820 women aged 30 years and above in 2020 using a standard questionnaire, including sections of sociodemographic and existence risk factors, 20 items for women's awareness of the signs and symptoms of BC, risk factors, and breast self-examination, 10 items for attitude measurement, and 5 items for performance measurement. Data analysis was administered by SPSS using relative frequency and Chi-square tests.Results:
Data of 776 (94.6%) participants were included in the analysis. The majority of participants had a moderate level of knowledge (66.4%) and attitude (76.6%) towards BC. For performance, about 44% of the participants had no breast self-examination during the last year. The results showed a significant association between marital status and education level with knowledge and attitude; employment with knowledge; age and income with attitude and performance (P < 0.05).Conclusions:
Given the low level of knowledge, attitude, and performance of old aged and low educated women, as well as the increased risk of the disease in the elderly, it is necessary to provide educational interventions to this high-risk group.Keywords
1. Background
Breast cancer (BC) is one of the most common cancers in women (1). Its global prevalence increased by 3.1% from 1980 to 2010. In addition, it has claimed 521,817 lives, according to the reports, in 2012 (2, 3). According to the statistics of the profile of Iran's cancer indicators announced to the World Health Organization (WHO), in 2014, 9795 Iranian women were diagnosed with BC, causing an annual death rate of more than 10 per 100,000 women (4, 5). In its early stage when the tumor is small, BC has no symptoms. However, as the tumor grows, one or more symptoms and signs may appear, including a painless lump in the breast, a lump under the armpit, breast pain, swelling or thickness of the breast skin, spontaneous discharge of the nipple particularly blood, and erosion or inversion in the nipple (6).
Knowledge of these symptoms and risk factors of BC, as well as having a positive attitude to screening and early diagnosis of the disease, play a significant role in the performance and preventing the disease while decreasing the mortality rate (6-9). Although merely having a high level of knowledge may not lead to appropriate performance for breast self-examination, clinical breast examination, and mammography, studies have shown that higher mortality rates of cancers are related to lack of knowledge and late-stage diagnosis (10, 11). In addition, a study indicated that identifying individual and clinical factors related to BC can provide basic information for developing health education programs, screening, and providing appropriate solutions to remove barriers to treatment and care (12). Therefore, measuring women's knowledge is necessary for planning educational interventions regarding this disease (13).
Kashan University of Medical Sciences, covering the two cities of Kashan, Aran, and Bidgol, with a population of about half a million people in Isfahan province, has an annual incidence rate of BC of 38 per 100,000 people (14, 15). Based on the literature review, the only study conducted in this regard on women in Kashan is related to 2001. Given the many changes in age composition, literacy level, health awareness, and health intervention plans during this period, it is necessary to re-evaluate the level of knowledge and performance of women covered by this university to make necessary interventions.
2. Objectives
This study aimed to assess the knowledge, attitude, and performance of women about BC and its risk factors in patients referred to comprehensive health centers in Kashan and Aran-O-Bidgol.
3. Methods
This cross-sectional study was conducted on women with an electronic health record referring to comprehensive health centers in Kashan and Aran-O-Bidgol during 2018 - 2019. The research purpose and methodology were subjected to scrutiny by the Isfahan University of Medical Sciences (Ethics Code: IR.MUI.RESEARCH.REC.1398.322). Informed consent was obtained from all participants.
For estimating the study sample size, the performance score was defined as the primary dependent variable, and the standard deviation of the performance score was reported as 30 (16). Considering the population of more than 110,000 women above the age of 30 in the region and taking into account a drop-out rate of 20%, at least 820 random samples were studied to be able to estimate the mean performance score with 95% confidence with a maximum error of 1.5 points.
Sampling was done by stratified random sampling method. Initially, based on the information available in the health information integration system (named as SIB), the units providing health services (health base and comprehensive health service center) of the two cities were listed (Kashan: 33 units, Aran and Bidgol: 6 units). Based on the available information, 25% of the population in Aran and Bidgol and 75% of the population (out of two cities) live in Kashan; therefore, 75% of the study sample was from Kashan and 25% from Aran and Bidgol (615 participants from Kashan and 205 samples from Aran and Bidgol). Then, the units were divided according to geographical location (ie, north, south, east, west, and center), and a unit was randomly selected from each direction. Afterward, 123 participants were taken from each of the five selected units of Kashan city, and 41 participants were randomly taken from each unit of Aran and Bidgol cities.
Data were collected using a self-administered questionnaire that its content validity and reliability (alpha Cronbach) were confirmed. The Content Validity Index (CVI) of items on knowledge, attitude, and performance was 0.86, 0.96, and 1, respectively. Also, Cronbach's alpha (internal reliability) for knowledge and attitude was 0.86 and 0.68, respectively. The questionnaire has four sections, including sociodemographic and existing risk factors items, 20 items for women's knowledge of the signs and symptoms of BC, risk factors and breast self-examination, 10 items for attitude measurement, and 5 items for performance measurement. The response options for items on knowledge included "Yes", "No", and "I do not know"; with scores of 2 for Yes, 0 for No, and 1 for "I do not know". The minimum and maximum scores of knowledge were 0 and 38, respectively, which the higher score, the more the level of knowledge. Before calculating the scores of knowledge, items with opposite direction were aligned with the other items. Knowledge scoring was classified into three levels after adding the scores of each item (11 to 19 = good, 1 to 10 = moderate, and -19 to 0 = poor). Attitude items had a five-point Likert-scale response, ranging from 1 (''strongly disagree'') to 5 (''strongly agree''). Attitude scoring contained two steps. First, "strongly agree" and ''strongly disagree" responses were merged with "agree" and "disagree" responses, respectively. Then, correct answers were allocated with a score of 1, incorrect answers received a score of -1, and the answers nor agreed-nor disagreed were given a score of zero. Afterward, scores were summed up. Positive scores were classified with a good label, negative scores with a poor label, and scores of zero with a moderate label (16). Two items were used to assess performance. The first item was about the frequency of breast self-examination, and the second was about the appearance of abnormal breast symptoms during the last year. The response options of the recent item were "Yes", "No", "I do not remember". The response options of breast self-examination were "Never", "1 to 6 times a year irregularly", "7 to 11 times a year", "Monthly".
3.1. Data Analysis
Given that all of the variables were categorical, counts and percentages were used for calculations. Chi-square and Fisher's exact tests were used to compare proportions of demographic variables and risk factors across levels of knowledge, attitude, and performance. Statistical significance was considered when P-value < 0.05. Data analysis was administered using SPSS version 16.
4. Results
In this study, out of 820 participants, 776 (94.6%) completed the questionnaire correctly, of which 708 (91.2%) of them were married. In terms of age, 258 (33%) participants were under the age of 34, 381 (49%) were 35 - 39 years old, and 137 (18%) were above the age of 50. In terms of education, 243 (31.3%) had a diploma, and 247 (31.8%) hold a graduate degree.
According to the findings, 88 (11.3%), 515 (66.4%), and 173 (22.3%) of the subjects had good, moderate, and poor levels of knowledge, respectively. Based on the Chi-square and Fish tests, the women’s level of knowledge in the two cities was significantly different (P < 0.001), details of which are presented in Table 1.
Level of Knowledge of Breast Cancer in Terms of Demographic Variables and Risk Factors
Variables | Knowledge Level, No. (%) | P-Value | |||
---|---|---|---|---|---|
Poor | Moderate | Good | Total | ||
No. (%) | 173 (22.3) | 515 (66.4) | 88 (11.3) | 776 (100) | |
City | < 0.001 | ||||
Kashan | 139 (24) | 388 (67.0) | 52 (9.0) | 579 (100) | |
Aran-O-Bidgol | 34 (17.3) | 127 (64.5) | 36 (18.3) | 197 (100) | |
Marital status | 0.029 | ||||
Married | 152 (21.5) | 472 (66.7) | 84 (11.9) | 708 (100) | |
Single | 9 (28.1) | 20 (62.5) | 3 (4.9) | 32 (100) | |
Divorced | 7 (33.3) | 14 (66.7) | (0) | 21 (100) | |
Widow | 5 (33.3) | 9 (60.0) | 1 (6.7) | 15 (100) | |
level of education | < 0.001 | ||||
Elementary school and lower | 46 (31.7) | 90 (62.1) | 9 (6.2) | 145 (100) | |
Junior high school | 35 (24.8) | 93 (66.0) | 13 (9.2) | 141 (100) | |
Diploma | 55 (22.6) | 167 (68.7) | 21 (8.6) | 243 (100) | |
Graduate degree | 37 (15.0) | 165 (66.8) | 45 (18.2) | 247 (100) | |
Spouse’s occupation | 0.076 | ||||
Self-employed | 88 (21.3) | 281 (67.9) | 45 (1.9) | 414 (100) | |
Employed | 46 (18.9) | 162 (66.7) | 35 (14.4) | 243 (100) | |
Unemployed | 18 (35.3) | 29 (56.9) | 4 (7.8) | 51 (100) | |
Client’s occupation | < 0.001 | ||||
Housewife | 148 (24.8) | 394 (66.0) | 55 (9.2) | 597 (100) | |
Employed | 9 (10) | 62 (68.9) | 19 (21.1) | 90 (100) | |
Self-employed | 16 (18) | 59 (66.3) | 14 (15.7) | 89 (100) | |
Number of referrals during the last year | 0.021 | ||||
No referral | 37 (18.9) | 143 (73.0) | 16 (8.2) | 196 (100) | |
Once | 95 (25.1) | 241 (63.6) | 43 (11.3) | 379 (100) | |
2 times | 35 (23.5) | 97 (65.1) | 17 (11.4) | 149 (100) | |
3 times and more | 6 (11.5) | 34 (65.4) | 12 (23.1) | 52 (100) | |
BMI (kg/m2) | 0.019 | ||||
Normal | 80 (27.3) | 182 (62.1) | 31 (1.6) | 293 (100) | |
Overweight (9 / 29 - 25) | 45 (15.6) | 205 (70.9) | 39 (13.5) | 289 (100) | |
Grade 1 obesity 99/34-30 | 26 (21.7) | 79 (65.8) | 15 (12.5) | 120 (100) | |
Grade 2 obesity 35 and above | 10 (27.0) | 26 (70.3) | 1 (2.7) | 37 (100) | |
Number of children | 0.804 | ||||
None | 25 (26.9) | 59 (63.4) | 9 (9.7) | 93 (100) | |
1 - 3 | 136 (21.5) | 422 (66.8) | 74 (11.7) | 632 (100) | |
4 and more | 12 (23.5) | 34 (66.7) | 5 (9.8) | 51 (100) | |
Breastfeeding history | 0.489 | ||||
No | 31 (25.8) | 78 (65.0) | 11 (9.2) | 120 (100) | |
Yes | 142 (21.6) | 437 (66.6) | 77 (11.7) | 656 (100) | |
Breastfeeding duration (total months) | 0.902 | ||||
Zero | 31 (25.8) | 78 (65.0) | 11 (9.2) | 120 (100) | |
Under 23 | 26 (2.3) | 89 (69.5) | 13 (1.2) | 128 (100) | |
24 - 59 | 98 (21.8) | 297 (66.1) | 54 (12.0) | 449 (100) | |
Over 60 | 18 (22.8) | 51 (64.6) | 10 (12.7) | 79 (100) | |
Menopause status | 0.15 | ||||
Having menstrual cycle | 139 (21.4) | 431 (66.4) | 79 (12.2) | 649 (100) | |
Menopausal | 34 (26.8) | 84 (66.1) | 9 (7.1) | 127 (100) | |
Menopausal age (y) | 0.23 | ||||
53 and low | 32 (28.3) | 72 (63.7) | 9 (8.0) | 113 (100) | |
54 and above | 2 (14.3) | 12 (85.7) | 0 (.0) | 14 (100) | |
Age of first menstruation (y) | 0.775 | ||||
Under 11 | 26 (25.2) | 68 (66.0) | 9 (8.7) | 103 (100) | |
11 - 15 | 134 (21.5) | 415 (66.6) | 74 (11.9) | 623 (100) | |
Above 16 years | 13 (26.0) | 32 (64.0) | 5 (1.0) | 50 (100) |
There was a significant relationship between the level of knowledge and some of the variables, such as marital status (P = 0.029), level of education (P < 0.001), Client’s occupation (P < 0.001), and the number of referrals during the last year (P = 0.021). Moreover, there was a significant relationship between the level of knowledge with body mass index (P = 0.019). However, there was no significant relationship between the level of knowledge with spouse’s occupation, the number of children, history of breastfeeding, menopausal status, menopausal age, age of first menstruation, and family history of BC (P > 0.05) (Table 1).
There was a significant relationship between attitude score with spouse’s age and occupation. Moreover, 86 (11.1%), 595 (76.7%), and 95 (12.2%) participants had poor, moderate, and good attitude toward cancer risk factors (Table 2).
The Subjects’ Attitude Level in Terms of Demographic Variables of Breast Cancer
Variables | Attitude Level, No. (%) | P-Value | |||
---|---|---|---|---|---|
Poor | Moderate | Good | Total | ||
No. (%) | 86 (11.1) | 595 (76.7) | 95 (12.2) | 776 (100) | |
City | 0.926 | ||||
Kashan | 63 (10.9) | 444 (76.7) | 72 (12.4) | 579 (100) | |
Aran-O-Bidgol | 23 (11.7) | 151 (76.6) | 23 (11.7) | 197 (100) | |
Age (y) | 0.003 | ||||
Under 34 | 33 (12.8) | 201 (77.9) | 24 (9.3) | 258 (100) | |
35 - 49 | 32 (8.4) | 287 (75.3) | 62 (16.3) | 381 (100) | |
Above 50 | 21 (15.3) | 107 (78.1) | 9 (6.6) | 137 (100) | |
Education level | 0.1 | ||||
Elementary school and lower | 20 (13.8) | 104 (71.7) | 21 (14.5) | 145 (100) | |
Junior high school | 10 (7.1) | 112 (79.4) | 19 (13.5) | 141 (100) | |
Diploma | 27 (11.1) | 180 (74.1) | 36 (14.8) | 243 (100) | |
Graduate degree | 29 (11.7) | 199 (80.6) | 19 (7.7) | 247 (100) | |
Income (million Toman) | 0.016 | ||||
Under one | 14 (8.9) | 115 (73.2) | 28 (17.8) | 157 (100) | |
From 1.5 - 2 | 27 (11.2) | 187 (77.6) | 27 (11.2) | 241 (100) | |
From 2 - 3 | 16 (14.0) | 85 (74.6) | 13 (11.4) | 114 (100) | |
From 3 and above | 5 (19.2) | 19 (73.1) | 2 (7.7) | 26 (100) | |
Spouse’s occupation | 0.005 | ||||
Self-employed | 45 (10.9) | 314 (75.8) | 55 (13.3) | 414 (100) | |
Employed | 20 (8.2) | 197 (81.1) | 26 (10.7) | 243 (100) | |
Unemployed | 13 (25.5) | 31 (60.8) | 7 (13.7) | 51 (100) |
According to Table 3, there was a significant relationship between age, marital status, education level, and income with the performance of breast self-examination (P < 0.05). The married people had more breast self-examination than single people, and by increasing education level, age and income, more breast self-examination was observed.
Frequency of Breast Self-examination in Terms of Demographic Variables
Variables | Breast Self-examination, No. (%) | P-Value | |||
---|---|---|---|---|---|
Never | 1 to 6 Times a Year Irregularly | 7 to 11 Times a Year | Monthly | ||
Total | 341 (43.9) | 330 (42.5) | 35 (4.5) | 70 (9.0) | |
City | 0.26 | ||||
Kashan | 261 (45.1) | 247 (42.7) | 22 (3.8) | 49 (8.5) | |
Aran-O-Bidgol | 80 (40.6) | 83 (42.1) | 13 (6.6) | 21 (10.7) | |
Age (y) | < 0.001 | ||||
Under 34 | 142 (55.0) | 84 (32.6) | 8 (3.1) | 24 (9.3) | |
35 - 49 | 165 (43.3) | 160 (42.0) | 19 (5.0) | 37 (9.7) | |
Above 50 | 34 (24.8) | 86 (62.8) | 8 (5.8) | 9 (6.6) | |
Marital status | 0.031 | ||||
Married | 304 (42.9) | 309 (43.6) | 30 (4.2) | 65 (9.2) | |
Single | 22 (68.8) | 6 (18.8) | 1 (3.1) | 3 (9.4) | |
Divorced | 11 (52.4) | 7 (33.3) | 3 (14.3) | 0 (0.0) | |
Widow | 4 (26.7) | 8 (53.3) | 1 (6.7) | 2 (13.3) | |
Education level | 0.003 | ||||
Elementary school and lower | 54 (37.2) | 77 (53.1) | 8 (5.5) | 6 (4.1) | |
Junior high school | 63 (44.7) | 59 (41.8) | 8 (5.7) | 11 (7.8) | |
Diploma | 113 (46.5) | 105 (43.2) | 9 (3.7) | 16 (6.6) | |
Graduate degree | 111 (44.9) | 89 (36.0) | 10 (4.0) | 37 (15.0) | |
Income (million Toman) | 0.026 | ||||
Under one | 75 (47.8) | 57 (36.3) | 14 (8.9) | 11 (7.0) | |
From 1.5 - 2 | 85 (35.3) | 120 (49.8) | 11 (4.6) | 25 (10.4) | |
From 2 - 3 | 51 (44.7) | 43 (37.7) | 4 (3.5) | 16 (14.0) | |
From 3 and above | 9 (34.6) | 11 (42.3) | 1 (3.8) | 5 (19.2) |
The findings indicated that 134 (23.7%) subjects observed abnormal breast symptoms. Moreover, there was a significant relationship between observing abnormal breast symptoms with the variables of city, age, and income. There was a significant relationship between performance in observing abnormal breast symptoms and variables of the number of children, breastfeeding history, breastfeeding duration, menopause status, and age of first menstruation (Table 4).
Frequency of Performance Score in Observing Abnormal Breast Symptoms Based on Demographic Variables and Risk Factors
Variables | Observing Abnormal Breast Symptoms, No. (%) | P-Value | ||
---|---|---|---|---|
Yes | No | I Do Not Remember | ||
Total | 134 (23.7) | 511 (65.8) | 81 (10.4) | |
City | 0.005 | |||
Kashan | 154 (26.6) | 368 (63.6) | 57 (9.8) | |
Aran-O-Bidgol | 30 (15.2) | 143 (72.6) | 24 (12.2) | |
Age (y) | 0.03 | |||
Under 34 | 48 (18.6) | 181 (70.2) | 29 (11.2) | |
35 - 49 | 91 (23.9) | 248 (65.1) | 42 (11.0) | |
Above 50 | 45 (32.8) | 82 (59.9) | 10 (7.3) | |
Income (million Toman) | 0.012 | |||
Under 1 | 31 (19.7) | 106 (67.5) | 20 (12.7) | |
From 1.5 - 2 | 76 (31.5) | 144 (59.8) | 21 (8.7) | |
From 2 - 3 | 19 (16.7) | 82 (71.9) | 13 (11.4) | |
From 3 and above | 9 (34.6) | 17 (65.4) | 0 (0.0) | |
Spouse’s occupation | 0.012 | |||
Self-employed | 89 (21.5) | 279 (67.4) | 46 (11.1) | |
Employed | 59 (24.3) | 161 (66.3) | 23 (9.5) | |
Unemployed | 22 (43.1) | 27 (52.9) | 2 (3.9) | |
Number of children | 0.008 | |||
None | 8 (8.6) | 72 (77.4) | 13 (14.0) | |
1 - 3 | 163 (25.8) | 407 (64.4) | 62 (9.8) | |
4 and more | 13 (25.5) | 32 (62.7) | 6 (11.8) | |
Breastfeeding history | 0.012 | |||
No | 16 (13.3) | 88 (73.3) | 16 (13.3) | |
Yes | 168 (25.6) | 423 (64.5) | 65 (9.9) | |
Breastfeeding duration (total months) | 0.009 | |||
Zero | 16 (13.3) | 88 (73.3) | 16 (13.3) | |
Under 23 | 25 (19.5) | 86 (67.2) | 17 (13.3) | |
24 - 59 | 124 (27.6) | 289 (64.4) | 36 (8.0) | |
Over 60 | 19 (24.1) | 48 (60.8) | 12 (15.2) | |
Menopause status | 0.013 | |||
Having menstrual cycle | 142 (21.9) | 434 (66.9) | 73 (11.2) | |
Menopausal | 42 (33.1) | 77 (60.6) | 8 (6.3) | |
Age of first menstruation (y) | 0.039 | |||
Under 11 | 30 (29.1) | 60 (58.3) | 13 (12.6) | |
11 - 15 | 149 (23.9) | 409 (65.7) | 65 (1.4) | |
Above 16 | 5 (1.0) | 42 (84.0) | 3 (6.0) |
There was a significant relationship between performance score with the number of breast self-examination and variables of the number of children, breastfeeding history, breastfeeding duration, menopausal status, and the number of referrals (Table 5).
Frequency of Breast Self-examination in Terms of Risk Factors
Variables | Breast Self-examination, No. (%) | P-Value | |||
---|---|---|---|---|---|
Never | 1 to 6 Times a Year Irregularly | 7 to 11 Times a Year | Monthly | ||
Total | Total | 341 (43.9) | 330 (42.5) | 35 (4.5) | |
City | 0.26 | ||||
Kashan | 261 (45.1) | 247 (42.7) | 22 (3.8) | 49 (8.5) | |
Aran-O-Bidgol | 80 (40.6) | 83 (42.1) | 13 (6.6) | 21 (10.7) | |
Number of children | 0.001 | ||||
None | 59 (63.4) | 21 (22.6) | 3 (3.2) | 10 (10.8) | |
1 - 3 | 267 (42.2) | 281 (44.5) | 30 (4.7) | 54 (8.5) | |
4 and more | 15 (29.4) | 28 (54.9) | 2 (3.9) | 6 (11.8) | |
Breastfeeding history | 0.002 | ||||
No | 70 (58.3) | 33 (27.5) | 4 (3.3) | 13 (10.8) | |
Yes | 271 (41.3) | 297 (45.3) | 31 (4.7) | 57 (8.7) | |
Breastfeeding duration (total months) | < 0.001 | ||||
Zero | 70 (58.3) | 33 (27.5) | 4 (3.3) | 13 (10.8) | |
Under 23 | 64 (50.0) | 47 (36.7) | 4 (3.1) | 13 (10.2) | |
24 - 59 | 181 (40.3) | 218 (48.6) | 20 (4.5) | 30 (6.7) | |
Over 60 | 26 (32.9) | 32 (40.5) | 7 (8.9) | 14 (17.7) | |
Menopause status | < 0.001 | ||||
Having menstrual cycle | 309 (47.6) | 251 (38.7) | 28 (4.3) | 61 (9.4) | |
Menopausal | 32 (25.2) | 79 (62.2) | 7 (5.5) | 9 (7.1) | |
Number of referrals (during the last year) | < 0.001 | ||||
No referral | 100 (51.0) | 63 (32.1) | 14 (7.1) | 19 (9.7) | |
Once | 161 (42.5) | 182 (48.0) | 11 (2.9) | 25 (6.6) | |
2 times | 59 (39.6) | 68 (45.6) | 4 (2.7) | 18 (12.1) | |
3 times and more | 21 (40.4) | 17 (32.7) | 6 (11.5) | 8 (15.4) |
The highest correlation coefficient was found between the status of knowledge and attitude of women toward BC, but the linear correlation coefficient between attitude and knowledge as well as attitude and performance were -0.072 and -0.052, respectively.
5. Discussion
This study showed that more than half of the participants had a moderate level of knowledge and attitude about the signs, symptoms, and risk factors for breast cancer and the correct method of self-examination and clinical examination of the breast. The results indicated that only 11% of the participants had a good level of knowledge. A good level of knowledge was significantly higher in married, graduated, and employed women. Those with a good level of knowledge had a higher number of referrals during the last year. Also, the findings showed that 12% of the participants had a good level of attitude. The women with an age range of 35 to 49 and those who were self-employed had a higher level of attitude.
According to the findings, most women had irregular breast self-examination. The women who were under 34 years of age, single, and graduated had the lowest irregular frequency of breast self-examination, which may indicate their high-risk perception.
The results of the present study are consistent with those of Godazandeh and Jorgensen, who reported that about 2.3% of the Iranian women had a moderate to low level of this knowledge, and it seems that they have less knowledge of the benefits of BC screening when they have no symptoms (17). Montazeri et al., in 2002, reported that the level of knowledge and attitude of health workers was moderate, and implementing educational programs related to cancer prevention was recommended for this group (18). Although mammography is more sensitive in the early diagnosis of BC, compared to clinical breast examination, most research institutions in the world, perform a clinical breast examination and mammography together following a specific screening program in women aged above 20 years, especially those older than 40 years (1, 19). Nevertheless, regular breast self-examination can, in addition to helping in the early diagnosis of the disease, improve the level of knowledge and attitude of the community towards cancer and its prevention methods (20, 21).
Accordingly, education has an effective role in advancing community health promotion. By educating the community regarding the correct implementation of prevention programs, the level of their knowledge and attitude about BC increases, leading to the implementation of more prevention and screening programs for BC, as well as the implementation of educational programs related to women. A study conducted in the southern coast of the Caspian Sea mentioned that lack of intervention programs for health education in Iranian society and lack of regular community-based screening programs have reduced the level of knowledge and attitude towards BC. Therefore, there was a significant decrease in the level of acceptance of Iranian women even at high levels of education in the implementation of BC prevention programs, especially clinical breast examination and mammography (22). Similar results have been observed in studies conducted in other countries (23, 24).
These results are in line with the studies by Tawafian et al. (25), Montazeri et al. (18), and Jervandi et al. (26), which indicated that low economic and social status, low level of education, and lack of knowledge about BC and breast self-examination are the most important reasons for low breast self-examination. However, in several studies, including Haririchi et al. (27), Peerson and Saunders (13), Arndt et al. in Germany (28), Huo et al. in China (29), and Mirfarhadi et al. (30), a strong relationship was observed between the disease and referral time. According to these studies, the mortality rate of this cancer over the past 30 years, despite technical advances in surgery, chemotherapy, and radiotherapy, has been constant due to the referral of most patients in the advanced stages of the disease. Similar studies have shown that low levels of education and income are among factors affecting patients' referral in the advanced stages of the disease (27, 28, 30).
The results of this study indicated the need for paying more attention to increasing women's knowledge about the risk factors of BC and effective screening methods. Due to the high burden of cancer in the region and the referral of patients in the advanced stages of the disease, it is necessary to organize and implement a well-organized educational program for the public and establish facilities for mammography every three years for those aged above 40. In addition, another important measure would be expanding health insurance coverage to diagnostic and therapeutic examinations.
Breast self-examination is the easiest and cheapest way for early diagnosis of the disease and is the only method of BC screening for women who do not have sufficient access to health care (31). In the present study, 9.05% of the subjects regularly performed breast self-examination.
Various studies suggested that improving public knowledge and attitude toward BC can play a positive role in screening behaviors of women in the community (32-34). Comparing the results of different studies with those of the present study revealed a significant similarity between breast self-examinations in developing countries, which is very different from that of developed ones. These results indicate that, among other factors, cultural similarities or differences may have a significant contribution to such differences. The study population had a moderate to poor level of knowledge about BC prevention and screening programs. However, they had a positive attitude toward BC prevention and screening programs.
Considering the high level of education in the Iranian women's community, in comparison with other developing countries in Central Asia, the Middle East, the Caucasus, Africa, and Latin America, it seems that designing and implementing health education interventional programs on cancer, especially BC, will increase the effectiveness of BC screening programs among the Iranian women's community compared to other countries.
It is necessary to mention some limitations of our study, including using self-administered questionnaires to collect data, which is prone to measurement bias. Following a cross-sectional design, which does not allow to make any causal inference about the association between performance and knowledge and attitude. Last but not least, this study was conducted on only women with electronic health records in comprehensive health centers in Kashan and Aran-O-Bidgol, which limits its generalizability.
5.1. Conclusions
Given the low level of knowledge, attitude, and performance of older women with low education levels, as well as increasing the risk of the disease in the elderly, it is necessary to perform educational interventions appropriate for this age group. In addition, given the importance of early detection in breast cancer, training programs intended to update the knowledge about its risk factors and those intended to promote breast cancer screening practice in healthcare centers can potentially improve women's practice of healthy habits.
Acknowledgements
References
-
1.
Sun YS, Zhao Z, Yang ZN, Xu F, Lu HJ, Zhu ZY, et al. Risk Factors and Preventions of Breast Cancer. Int J Biol Sci. 2017;13(11):1387-97. [PubMed ID: 29209143]. [PubMed Central ID: PMC5715522]. https://doi.org/10.7150/ijbs.21635.
-
2.
Augustovski F, Soto N, Caporale J, Gonzalez L, Gibbons L, Ciapponi A. Decision-making impact on adjuvant chemotherapy allocation in early node-negative breast cancer with a 21-gene assay: systematic review and meta-analysis. Breast Cancer Res Treat. 2015;152(3):611-25. [PubMed ID: 26126971]. https://doi.org/10.1007/s10549-015-3483-3.
-
3.
Nafissi N, Khayamzadeh M, Zeinali Z, Pazooki D, Hosseini M, Akbari ME. Epidemiology and histopathology of breast cancer in Iran versus other Middle Eastern countries. Middle East J Cancer. 2018;9(3):243-51.
-
4.
Mohammadian M, Salehiniya H, Mohammadian-Hafshejani A. Some facts on incidence and mortality of cancer in Iran. Iranian J Public Health. 2017;46(10):1446-7.
-
5.
Azgomi S, Rezaianzadeh A, Mokhtari A, Maghsoudi A, Nazarzadeh M, Dehghani S, et al. The Incidence of Breast Cancer in Iran: A Systematic Review and Meta-Analysis. J Anal Oncol. 2016;5(4):139-45. https://doi.org/10.6000/1927-7229.2016.05.04.2.
-
6.
Marmot M, Friel S, Bell R, Houweling TA, Taylor S. Closing the gap in a generation: health equity through action on the social determinants of health. The Lancet. 2008;372(9650):1661-9. https://doi.org/10.1016/s0140-6736(08)61690-6.
-
7.
Davis TC, Williams MV, Marin E, Parker RM, Glass J. Health literacy and cancer communication. CA Cancer J Clin. 2002;52(3):134-49. [PubMed ID: 12018928]. https://doi.org/10.3322/canjclin.52.3.134.
-
8.
Wang C, Lang J, Xuan L, Li X, Zhang L. The effect of health literacy and self-management efficacy on the health-related quality of life of hypertensive patients in a western rural area of China: a cross-sectional study. Int J Equity Health. 2017;16(1):1-11.
-
9.
Gonzalez-Chica DA, Mnisi Z, Avery J, Duszynski K, Doust J, Tideman P, et al. Effect of Health Literacy on Quality of Life amongst Patients with Ischaemic Heart Disease in Australian General Practice. PLoS One. 2016;11(3). e0151079. [PubMed ID: 26943925]. [PubMed Central ID: PMC4778924]. https://doi.org/10.1371/journal.pone.0151079.
-
10.
Hesami Arani M, Bagheri S, Ghaneian MT. The role of environmental education in increasing the awareness of primary school students and reducing environmental risks. J Environ Health Sustain Dev. 2016;1(1):9-17.
-
11.
Awad A, Al-Nafisi H. Public knowledge of cardiovascular disease and its risk factors in Kuwait: a cross-sectional survey. BMC Public Health. 2014;14(1):1-11. [PubMed ID: 25367768]. [PubMed Central ID: PMC4237772]. https://doi.org/10.1186/1471-2458-14-1131.
-
12.
Ginsburg O, Yip CH, Brooks A, Cabanes A, Caleffi M, Dunstan Yataco JA, et al. Breast cancer early detection: A phased approach to implementation. Cancer. 2020;126 Suppl 10:2379-93. [PubMed ID: 32348566]. [PubMed Central ID: PMC7237065]. https://doi.org/10.1002/cncr.32887.
-
13.
Peerson A, Saunders M. Health literacy revisited: what do we mean and why does it matter? Health Promot Int. 2009;24(3):285-96. [PubMed ID: 19372101]. https://doi.org/10.1093/heapro/dap014.
-
14.
Hesami Arani M, Jaafarzadeh N, Khaleghi Dehabadi P, Mostafaii G, Tazik M, Karimi Z, et al. Health and safety hazards identification and risk assessment in the swimming pools using combined HAZID and ALARP. Environ Health Eng Manag J. 2020;7(3):151-60. https://doi.org/10.34172/ehem.2020.18.
-
15.
Jalili F, Masoudi Alavi N, Abedzadeh Kalahroudi M. Frequency of Symptoms in Patients With Cancer Receiving Chemotherapy, According to Gender and the Primary Site of the Cancer in Kashan, Iran, 2017. Multidiscip Cancer Investig. 2019;3(1):17-24. https://doi.org/10.30699/acadpub.mci.3.1.17.
-
16.
Godazandeh GA, Khani H, Moslemizadeh N, Montazeri A, Ghorbani A. Breast cancer prevention: knowledge, attitudes and practices among iranian health workers in southern coastwise of the caspian sea in 2006: a multi center study. Iran Qtly J Breast Dis. 2008;2(1 (2)):28-37.
-
17.
Gotzsche PC, Jorgensen KJ. Screening for breast cancer with mammography. Cochrane Database Syst Rev. 2013;(6). CD001877. [PubMed ID: 23737396]. [PubMed Central ID: PMC6464778]. https://doi.org/10.1002/14651858.CD001877.pub5.
-
18.
Montazeri A, Haji Mahmoudi M, Jarvandi S. Breast self-examination: do religious beliefs matter? A descriptive study. J Public Health. 2003;25(2):154-5. [PubMed ID: 12848405]. https://doi.org/10.1093/pubmed/fdg031.
-
19.
Smith RA, Andrews K, Brooks D, DeSantis CE, Fedewa SA, Lortet-Tieulent J, et al. Cancer screening in the United States, 2016: A review of current American Cancer Society guidelines and current issues in cancer screening. CA Cancer J Clin. 2016;66(2):96-114. [PubMed ID: 26797525]. https://doi.org/10.3322/caac.21336.
-
20.
Okobia MN, Bunker CH, Okonofua FE, Osime U. Knowledge, attitude and practice of Nigerian women towards breast cancer: a cross-sectional study. World J Surg Oncol. 2006;4(1):1-9. [PubMed ID: 16504034]. [PubMed Central ID: PMC1397833]. https://doi.org/10.1186/1477-7819-4-11.
-
21.
Anderson BO, Braun S, Lim S, Smith RA, Taplin S, Thomas DB, et al. Early detection of breast cancer in countries with limited resources. Breast J. 2003;9 Suppl 2:S51-9. [PubMed ID: 12713497]. https://doi.org/10.1046/j.1524-4741.9.s2.4.x.
-
22.
Miller AB, Baines CJ. The role of clinical breast examination and breast self-examination. Prev Med. 2011;53(3):118-20. [PubMed ID: 21596057]. https://doi.org/10.1016/j.ypmed.2011.05.001.
-
23.
Ramathuba DU, Ratshirumbi CT, Mashamba TM. Knowledge, attitudes and practices toward breast cancer screening in a rural South African community. Curationis. 2015;38(1):1-8. [PubMed ID: 26017152]. [PubMed Central ID: PMC6091642]. https://doi.org/10.4102/curationis.v38i1.1172.
-
24.
Shapiro S, Strax P, Venet L. Periodic breast cancer screening in reducing mortality from breast cancer. JAMA. 1971;215(11):1777-85. [PubMed ID: 5107709].
-
25.
Tawafian SS, Hasani L, Aghamolaei T, Zare S, Gregory D. Prediction of breast self-examination in a sample of Iranian women: an application of the Health Belief Model. BMC Womens Health. 2009;9(1):1-7. [PubMed ID: 20040093]. [PubMed Central ID: PMC2806255]. https://doi.org/10.1186/1472-6874-9-37.
-
26.
Jervandi S, Montazeri A, Harirchi I, Kazemnejad A. Beliefs and behaviours of Iranian teachers toward early detection of breast cancer and breast self-examination. Public Health. 2002;116(4):245-9. [PubMed ID: 12087485]. https://doi.org/10.1038/sj.ph.1900854.
-
27.
Haririchi I, Ebrahimi M, Zamani N, Jarvandi S, Montazeri A. Breast cancer in Iran: a review of 903 case records. Public health. 2000;114(2):143-5.
-
28.
Arndt V, Sturmer T, Stegmaier C, Ziegler H, Dhom G, Brenner H. Patient delay and stage of diagnosis among breast cancer patients in Germany -- a population based study. Br J Cancer. 2002;86(7):1034-40. [PubMed ID: 11953844]. [PubMed Central ID: PMC2364177]. https://doi.org/10.1038/sj.bjc.6600209.
-
29.
Huo Q, Cai C, Zhang Y, Kong X, Jiang L, Ma T, et al. Delay in diagnosis and treatment of symptomatic breast cancer in China. Ann Surg Oncol. 2015;22(3):883-8. [PubMed ID: 25212834]. https://doi.org/10.1245/s10434-014-4076-9.
-
30.
Mirfarhadi N, Ghanbari A, Rahimi A. Study of association between personal characteristics and clinical signs of patients with breast cancer. J Payavard Salamat. 2017;11(1):1-9.
-
31.
Farshbaf-Khalili A, Salehi-Pourmehr H, Shahnazi M, Yaghoubi S, Gahremani-Nasab P. Cervical cancer screening in women referred to healthcare centres in Tabriz, Iran. Niger Med J. 2015;56(1):28-34. [PubMed ID: 25657490]. [PubMed Central ID: PMC4314856]. https://doi.org/10.4103/0300-1652.149167.
-
32.
Heidari Z, Feizi A. Transcultural adaptation and validation of the Persian version of the breast cancer awareness measure (BCAM) questionnaire. Cancer Med. 2018;7(10):5237-51. [PubMed ID: 30152046]. [PubMed Central ID: PMC6198204]. https://doi.org/10.1002/cam4.1740.
-
33.
Allam MF, Abd Elaziz KM. Evaluation of the level of knowledge of Egyptian women of breast cancer and its risk factors. A cross sectional study. J prev med hyg. 2012;53(4):195-8.
-
34.
Terui-Kohbata H, Egawa M, Yura K, Yoshida M. Knowledge and attitude of hereditary breast cancer among Japanese university female students. J Hum Genet. 2020;65(7):591-9. [PubMed ID: 32203254]. https://doi.org/10.1038/s10038-020-0743-9.