Abstract
Background:
Breast cancer is the major concern worldwide and in India too. Lack of awareness is one of the causes of increasing mortality rate in India. Social media is playing an important role in health communication including breast cancer information. In India, number of women are using social media.
Objective:
To explore the impact of social media usage and engagement in enhancing knowledge and practices to prevent breast cancer among women of India.
Methodology:
A cross-sectional study was conducted in Delhi-National Capital Region of India with a sample of 649 women (response rate 83.51%). The questionnaire consisted of three sections. In first section, sociodemographic details (four items) were collected, second section contained five items on social media use and engagement and third part included items on knowledge about risk factors (seven items), symptoms (eight items), and screening (six items) of breast cancer and practice (seven items). Descriptive statistics, Chi-square, Cramer-V test, and structural equation modeling-Analysis of a moment structure were used to identify the relationship between social media engagement and knowledge and practices of women.
Results:
Around 80% (431/542) of women have medium level of social media engagement and 20% are highly engaged. The slope coefficient of the relationship between social media engagement and knowledge is 0.805 and between knowledge and practice is 0.309, Chi-square value is 52.053 and 29.624, Cramer-V statistics is 0.310 and 0.165, respectively, which indicates significant relationship.
Conclusion:
The study result justified significant impact of social media engagement on knowledge and practices of women to prevent breast cancer.
Keywords: Awareness, breast cancer, engagement, preventive practices, social media, women
INTRODUCTION
Breast cancer is the most widespread female cancer worldwide[1,2] including India where cases are rising,[3] advanced-stage cancer is diagnosed[4] and the mortality rate ranks to the highest.[5] Low cancer awareness among women contributes to advance stage diagnosis of breast cancer and high mortality rate.[5,6,7] Although long-standing national programs under 5 year plan were launched to increase awareness and early detection behavior,[8] mortality rates for breast cancer could not be curbed.[8] Less' informed coverage in newspapers and television is also a reason for low awareness about the disease.[9,10,11] In recent times, social media channels, known for its participatory and interactive features, have become a popular and preferred tool for health communication and promotion.[12,13] Facebook, Twitter, and YouTube are used as health information sources[14] and have large number of users, so education through these channels is accessible to more diverse population[15] in a country such as India.
Significant amount of breast cancer information (24.6%) is being posted in social media of all four cancers (Breast lung, prostate, and colorectal).[16] There are so many breast cancer campaigns in social media such as Facebook pages, communities, groups, and tweets on Twitter as well as by the various governmental and nongovernmental organizations.[17] Internet and Mobile Association, 2013 reports that 52% working women and 55% of nonworking women use social media in India.[18]
People of all demographics are accessing this convenient, cost-effective and easy media for their health purposes.[19] Few study findings suggest that eight out of ten Internet users are accessing health information online.[20,21] One study findings have suggested that almost 75% (out of 241 female students) women in Sharjah received breast cancer information through social media and almost 50% of them were getting knowledge of breast self-examination (BSE) from social media itself.[22] There was an urgent need to understand how social media engagement of Indian women is resulting in enhancing their awareness about breast cancer and practices to prevent it. Hence, the present study aimed to study the impact of social media engagement on breast cancer awareness and screening practices of women in Delhi-National capital region (NCR) of India.
METHODOLOGY
Face-to-face questionnaire survey was conducted to fill up the questionnaire with women using social media and staying in Delhi-NCR. Sampling method was purposive; nonprobability sampling, due to the unavailability of female population frame of social media users. A total of 649 women had given their consent for data collection. In total, 542 fully filled-up questionnaires were considered for analysis. Because of cultural factors, privacy reasons, and busy working schedule around 16% of women were not able to complete the questionnaire.[23] Study quality, utility, and validity were not affected by the nonresponses as the remaining sample was representative of study population[24] and sample size was taken more than required[25] for structural equation modeling (SEM); that is ten times of the number of variables (total = 33 variable × 10 = 330).[26] Data collection were done from March 2019 to December 2019.
This research-validated a questionnaire using previous literature suitable for Indian context on seven-point Likert scale. This study had structured questionnaire consisting of three parts. Part one had four items about sociodemographic details. Part two had five items related to social media engagement, namely, social media is part of my daily life, I perform various activities on social media such as liking, sharing, commenting, and uploading posts, I come across various posts, content, and videos that benefit me a lot, I often learn interesting and new things while using social media, one can make her life better using social media. Part three consisted of seven items measuring knowledge of breast cancer risk factors, that is smoking, alcohol consumption, consumption of fatty food, obesity, use of contraceptive pills, hormonal replacement therapy, symptoms of the diseases (eight items), that is nipple discharge, pain in breast, enlargement of one breast, arm swelling, lump in the breast, axillary lump, nipple retraction, dimpling of breast size and screening knowledge measured with six items included BSE, clinical breast examination, ultrasound, mammography, mammography is a method of early detection, suitable time for BSE is 7 days after periods. Practice was measured with seven items, namely, I perform BSE, I go to specialist for clinical breast examination, I go for mammogram as suggested by the clinician, I go for ultrasound, I do not consume fatty food, I do not consume alcohol, I do not do smoking. Using confirmatory factor analysis, convergent and discriminant validity was checked and statistical fitness of the scale was calculated which were found to be as per required value. The independent variable of this study was social media engagement and dependant variable was women's knowledge about breast cancer and practice of screening and healthy lifestyle to prevent breast cancer.
SEM-Analysis of a moment structures, statistical software graphics, was used to examine the relationship between the independent and dependant variables. SEM is a multivariate (multi-variation equation model) regression model which is meant to represent causal relationship among variables in the model. Result of SEM was assessed by the overall model fit data which was evaluated in the study.[27] Descriptive statistics such as frequency, mean score, and standard deviation was calculated to understand the engagement, knowledge of breast cancer, and practices of women. To confirm the association and its strength between independent and dependent variables, Chi-square and Cramer-V test were applied. Further, Kruskal–Wallis test was conducted to test the association between selected sociodemographic variables with knowledge and practice domain scores. Following were the two hypotheses tested:
The social media engagement of women users had a significant positive impact on their knowledge about breast cancer
The knowledge gained from social media about breast cancer had a significant impact on the practices adopted by women in order to prevent breast cancer.
Ethical clearance was taken before the inception of the study. Consent of the women was obtained. Privacy and anonymity concern of the participants was ensured.
RESULTS
Out of total 542 complete responses, almost 40% women were of 18–35 years, 38.7% were 36–47 years and 21.8% were 48 and above years of age. Most of the women were graduates (54.4%) and one-fourth were postgraduate (28.6%). High school or equivalent degree holders were merely 17%. Almost half of the respondents (43.9%) were homemakers and 32.5% were students. Only 23.6% of them were in service. Out of 542 women, almost 85% of women acknowledged that their source of knowledge about breast cancer was social media.
The slope coefficient of the relationship between social media engagement and knowledge was 0.805 (P < 0.05) which indicated that interaction with social media engagement leads to significant enhancement of the knowledge about breast cancer in the women users [Table 1]. Further, the slope coefficient of the relationship between knowledge of the women about breast cancer and practices to prevent breast cancer was 0.390 (P < 0.05) [Table 1].
Table 1.
Relationship between social media engagement, knowledge of breast cancer risk factors, symptoms, screening, and practices by structural equation analysis
| Endogenous construct | Path | Exogenous construct | Standardized construct loading | Estimate | SE | Critical ratio | P | R 2 |
|---|---|---|---|---|---|---|---|---|
| Knowledge | <-- | Social media engagement | 0.805 | 0.490 | 0.062 | 7.908 | 0.000 | 64.8% |
| Practice | <-- | Knowledge | 0.390 | 0.901 | 0.154 | 5.870 | 0.000 | 15.2% |
| Knowledge risk | <-- | Knowledge | 0.495 | 1 | - | - | - | |
| Knowledge screening | <-- | 0.705 | 1.384 | 0.178 | 7.756 | 0.000 | ||
| Knowledge symptoms | <-- | 0.578 | 1.598 | 0.214 | 7.474 | 0.000 |
SE: Standard error
The R2 (a squared multiple correlation) of the knowledge as endogenous construct was found to be 0.64 which means 64% of the variance of knowledge was explained with the help of the model. The R2 of practice was found to be 0.152 which means 15.2% of the variance of screening and healthy lifestyle practices of women to prevent breast cancer can be explained with the help of this model [Table 1]. The statistical accuracy of the structural equation model was also examined with the measures of goodness fit which indicated the presence of significant statistical fitness [Table 2].
Table 2.
Statistical fitness indices of structural equation model for social media engagement, knowledge, and practices
| GFI | CMIN/df | GFI | AGFI | CFI | TLI | RMSEA |
|---|---|---|---|---|---|---|
| Calculated value | 2.789 | 0.852 | 0.831 | 0.924 | 0.918 | 0.057 |
| Expected value | <5 | >0.8 | >0.8 | >0.9 | >0.9 | <0.08 |
CMIN/df: Chi-square value/degree of freedom, GFI: Goodness of fit index, AGFI: Adjusted GFI, CFI: Comparative fit index, TLI: Tucker lewis index, RMSEA: Root mean square error of approximation
The mean score of all the constructs was close to five (agree) which is lying on the higher side of the seven-point scale. The respondents were further divided into three categories, i.e., low level, moderate level, and high level of social media engagement, knowledge, and practice. Almost 80% of women were moderately engaged in social media and 20% of them were highly engaged. Around 60% of women were having moderate knowledge of risk factors, symptoms, and screening of breast cancer and taking some actions moderately to prevent it. Thirty percent of women were having good knowledge of risk factors, symptoms, and screening. They practiced BSE, sometimes went for clinical check and ultrasound and some of them went for mammography as per doctor's suggestions. They take care of physical fitness and do not do smoking or consume alcohol. Result also indicated that high engagement in social media was resulting in positive outcome for breast cancer awareness and practice [Table 3].
Table 3.
Descriptive analysis of social media engagement, knowledge, and practice for breast cancer
| Dimensions | Mean score | SD | Frequency distribution | ||
|---|---|---|---|---|---|
|
| |||||
| Low (%) | Medium (%) | High (%) | |||
| SME | 4.638 | 0.889 | 0 | 431 (79.5) | 111 (20.5) |
| Knowledge risk factors | 4.528 | 1.397 | 56 (10.3) | 318 (58.7) | 168 (31) |
| Knowledge screening | 4.889 | 1.108 | 18 (3.3) | 361 (66.6) | 163 (30.1) |
| Knowledge symptoms | 4.819 | 1.338 | 34 (6.3) | 321 (59.2) | 187 (34.5) |
| Practice to prevent breast cancer | 4.566 | 1.380 | 48 (8.9) | 338 (62) | 156 (28.8) |
SD: Standard deviation, SME: Social media engagement
To examine the association between the engagements of women in social media and their knowledge of risk factors, symptoms, and screening of breast cancer, the Chi-square test was applied. The Chi-square statistics was found to be 52.053 (P < 0.05) and Cramer's v statistics was 0.310 (P < 0.05), which indicated the presence of moderate level of association between social media engagement and knowledge of breast cancer risk factors, symptoms, and screening was significant [Table 4].
Table 4.
Chi-square and Cramer’s-V statistics for association and strength between social media engagement and knowledge of breast cancer
| SME | Knowledge level | Chi-square statistic | Cramer’s V statistic | ||
|---|---|---|---|---|---|
|
| |||||
| Low | Moderate | High | |||
| Moderate | |||||
| Observed count | 9 | 353 | 69 | 52.053 (0.000) | 0.310 (0.000) |
| Expected count | 7.2 | 326.8 | 97.0 | ||
| High | |||||
| Observed count | 0 | 58 | 53 | ||
| Expected count | 1.8 | 84.2 | 25.0 | ||
SME: Social media engagement
Chi-square test and Cramer's v statistics were calculated to examine the association and its strength between knowledge of breast cancer and practices to prevent the disease. Chi-square value was 29.624 (P < 0.05) and Cramer's v value was 0.165 (P < 0.05) which indicated moderate level of association was significant [Table 5]. Knowledge and practice domain scores were significantly associated with some sociodemographic variables such as age, education status, and occupation of the participants [Table 6].
Table 5.
Chi-square and Cramer’s-V statistics for association and strength between breast cancer knowledge and practice
| Knowledge | Practice level | Chi-square statistic | Cramer’s V statistic | ||
|---|---|---|---|---|---|
|
| |||||
| Low | Moderate | High | |||
| Low | |||||
| Observed count | 1 | 8 | 0 | 29.624 (0.000) | 0.165 (0.000) |
| Expected count | 0.8 | 5.6 | 2.6 | ||
| Moderate | |||||
| Observed count | 40 | 273 | 98 | ||
| Expected count | 36.4 | 256.3 | 118.3 | ||
| High | |||||
| Observed count | 7 | 57 | 58 | ||
| Expected count | 10.8 | 76.1 | 35.1 | ||
Table 6.
Association of some demographic variables with breast cancer knowledge and practice scores
| Club Demographic characteristics and Category column. | Knowledge domain scores (median) | Practice domain scores (median) |
|---|---|---|
| Age (years) *,# | ||
| 18-35 | 86 | 31 |
| 36-47 | 92 | 34 |
| 48 and above | 104 | 38 |
| Education *,# | ||
| Intermediate | 81.5 | 26 |
| Graduation | 90 | 34 |
| Postgraduation and above | 100 | 37 |
| Occupation *,# | ||
| Service | 90 | 27 |
| Student | 92.5 | 35 |
| Homemaker | 95 | 33 |
*Knowledge scores: Significant, p<0.001, #Practice scores: Significant, p<0.001
DISCUSSION
To the best of our knowledge, this was the first study that summarized the evidence of social media engagement impact on knowledge and practice of women users to prevent breast cancer. This study aimed to test two hypotheses, that social media usage and engagement of women had significant positive impact on their knowledge of breast cancer risk factors, symptoms, and screening methods. Further, knowledge of breast cancer had a significant impact on their healthy lifestyle practices and screening behavior. We found that around 65% of knowledge of risk factors, symptoms, and screening methods of women regarding breast cancer can be explained with the help of this model. This means 65% of knowledge of breast cancer risk factors, symptoms, and screening methods was coming from social media. Fifteen percent of healthy lifestyle and screening behavior practice among women was coming from the knowledge they had received from social media about breast cancer.
These study findings justified that engagement in social media helped in providing significant knowledge about breast cancer and this knowledge helped some of the women to go for preventive practices such as BSE, clinical examination, ultrasound, mammography, and lifestyles changes to prevent the disease. This finding was in accordance with earlier studies where educational programs and interventions made positive impact on breast cancer knowledge of women.[28,29] However, ours was not intervention study but health information available on social media made an impact on knowledge and preventive practices of women. This study result also confirmed that mostly women had received the knowledge of breast cancer through social media which was consistent with previous study findings.[22] Our study result indicated that women were getting more knowledge from social media but their practices were limited.
In our study, we found that age played an important role in receiving knowledge through social media about breast cancer. Higher age women significantly gained more knowledge of risk factors, symptoms, and screening methods of breast cancer than younger age women. This result was not consistent with earlier study where younger age women gained more knowledge after intervention.[28] However, it may be analyzed with the fact that higher age women were more prone to breast cancer disease[30] so they were more receptive to breast cancer information and practicing various screening methods and healthy lifestyles to prevent the disease.
Our study result indicated that education significantly impacted knowledge enhancement of breast cancer through social media and preventive practices among women. Postgraduation and above degree holders were getting more knowledge through social media than intermediate and graduates. This may be explained with the fact that education makes people more receptive to knowledge and its execution. This fact can also be added that educated women were having extended social network[30] on social media and getting more exposure to breast cancer information. This finding was consistent with earlier study finding where educational intervention increased knowledge of breast cancer among more educated women.[29]
Occupational status of women was also found significantly associated with knowledge enhancement. Homemakers were found to be receiving more knowledge through social media about breast cancer than students and service women. They were also practicing more screening methods and healthy lifestyle than women in service and students. This finding was not as per earlier study finding where working women were more aware[30] and practicing more after intervention.[29]
Our study holds limitation of having purposive sampling method and restricted to Delhi-NCR. Hence, the result cannot be generalized on the total population of the country. This study was conducted on overall social media. Separate social media such as YouTube and Facebook should be taken into consideration by future researchers to understand comparative impact on breast cancer awareness. Future study should also be conducted on smartphone users that were the limitation of this study.
CONCLUSION
This study summarizes the evidence of social media engagement impact on breast cancer knowledge of women and their practices to prevent the disease. In a vast country such as India social media can be a cost-effective tool for health communication with wide reach and interactive features. It also enables users' anonymity and social networking where discussions, suggestions, and clarification of confusions are possible. Special attention should be given to diverse language need, data security, and reliability.
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
REFERENCES
- 1.Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, et al. Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015;136:E359–86. doi: 10.1002/ijc.29210. [DOI] [PubMed] [Google Scholar]
- 2.Fitzmaurice C, Dicker D, Pain A, Hamavid H. Global burden of disease cancer collaboration the global burden of cancer 2013. JAMA Oncol. 2015;1:505–27. doi: 10.1001/jamaoncol.2015.0735. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Report of National Cancer Registry Programme (Indian Council of Medical Research-National Centre for Disease Informatics and Research), Bengaluru, India 2020 [Google Scholar]
- 4.Gupta A, Shridhar K, Dhillon PK. A review of breast cancer awareness among women in India: Cancer literate or awareness deficit? Eur J Cancer. 2015;51:2058–66. doi: 10.1016/j.ejca.2015.07.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Singh S, Pal A, Srivastava NK, Thakur P. Level of awareness and practices of women regarding breast cancer in Chhattisgarh, India: An institution based survey. Int J Med Public Health. 2018;8:145–51. [Google Scholar]
- 6.Dey S. Preventing breast cancer in LMICs via screening and/or early detection: The real and the surreal. World J Clin Oncol. 2014;5:509–19. doi: 10.5306/wjco.v5.i3.509. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Dikshit R, Gupta PC, Ramasundarahettige C, Gajalakshmi V, Aleksandrowicz L, Badwe R, et al. Cancer mortality in India: A nationally representative survey. Lancet. 2012;379:1807–16. doi: 10.1016/S0140-6736(12)60358-4. [DOI] [PubMed] [Google Scholar]
- 8.Chalkidou K, Marquez P, Dhillon PK, Teerawattananon Y, Anothaisintawee T, Gadelha CA, et al. Evidence-informed frameworks for cost-effective cancer care and prevention in low, middle, and high-income countries. Lancet Oncol. 2014;15:e119–31. doi: 10.1016/S1470-2045(13)70547-3. [DOI] [PubMed] [Google Scholar]
- 9.Seth T, Kotwal A, Thakur R, Singh P, Kochupillai V. Common cancers in India: Knowledge, attitudes and behaviours of urban slum dwellers in New Delhi. Public Health. 2005;119:87–96. doi: 10.1016/j.puhe.2004.05.013. [DOI] [PubMed] [Google Scholar]
- 10.Kumar YS, Mishra G, Gupta S, Shastri S. Level of cancer awareness among women of low socioeconomic status in Mumbai slums. Asian Pac J Cancer Prev. 2011;12:1295–8. [PubMed] [Google Scholar]
- 11.Puri S, Mangat C, Bhatia V, Kaur A, Kohli DR. Knowledge of cancer and its risk factors in Chandigarh, India. Int J Epidemiol. 2010;8:1. [Google Scholar]
- 12.Keefe B, Chou WY. Communicating about cancer through facebook: A qualitative analysis of a breast cancer awareness page. Artic J Heal Commun. 2014;20:237–43. doi: 10.1080/10810730.2014.927034. [DOI] [PubMed] [Google Scholar]
- 13.Wright K, Fisher C, Rising C, Medical BG, Afanaseva AD, Xiaomei C. Partnering with mommy bloggers to disseminate breast cancer risk information: Social media intervention. J Med Internet Res. 2019;21:e12441. doi: 10.2196/12441. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Kontos EZ, Emmons KM, Puleo E, Viswanath K. Communication inequalities and public health implications of adult social networking site use in the United States. J Health Commun. 2010;15(Suppl 3):216–35. doi: 10.1080/10810730.2010.522689. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Sharma RC. Elearning and social networking handbook – By Robin Mason & Frank Rennie. Br J Educ Technol. 2009;40:189. [Google Scholar]
- 16.Quinn EM, Corrigan MA, McHugh SM, Murphy D, O’Mullane J, Hill AD, et al. Breast cancer information on the internet: Analysis of accessibility and accuracy. Breast. 2012;21:514–7. doi: 10.1016/j.breast.2012.01.020. [DOI] [PubMed] [Google Scholar]
- 17.Thackeray R, Keller H, Heilbronner JM, Dellinger LK. Social marketing's unique contribution to mental health stigma reduction and HIV testing: Two case studies. Health Promot Pract. 2011;12:172–7. doi: 10.1177/1524839910394176. [DOI] [PubMed] [Google Scholar]
- 18.Velmurugan R. Implications of social media among working womens in Coimbatore (wrt Facebook, Twitter, YouTube, Skype, LinkedIn,Whatsapp) International Journal in Commerce, IT and Social Sciences. 2015;2:15–25. [Google Scholar]
- 19.Korda H, Itani Z. Harnessing social media for health promotion and behavior change. Health Promot Pract. 2013;14:15–23. doi: 10.1177/1524839911405850. [DOI] [PubMed] [Google Scholar]
- 20.Rutten LJ, Squiers L, Hesse B. Cancer-related information seeking: Hints from the 2003 Health Information National Trends Survey (HINTS) J Health Commun. 2006;11(Suppl 1):147–56. doi: 10.1080/10810730600637574. [DOI] [PubMed] [Google Scholar]
- 21.Atkinson NL, Saperstein SL, Pleis J. Using the internet for health-related activities: Findings from a national probability sample. J Med Internet Res. 2009;11:e5. doi: 10.2196/jmir.1035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Rahman SA, Al-Marzouki A, Otim M, Khalil Khayat NE, Yousuf R, Rahman P. Awareness about breast cancer and breast self-examination among female students at the university of Sharjah: A cross-sectional study. Asian Pac J Cancer Prev. 2019;20:1901–8. doi: 10.31557/APJCP.2019.20.6.1901. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Linsell L, Burgess CC, Ramirez AJ. Breast cancer awareness among older women. Br J Cancer. 2008;99:1221–5. doi: 10.1038/sj.bjc.6604668. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Morton SM, Bandara DK, Robinson EM, Carr PE. In the 21st Century, what is an acceptable response rate? Aust N Z J Public Health. 2012;36:106–8. doi: 10.1111/j.1753-6405.2012.00854.x. [DOI] [PubMed] [Google Scholar]
- 25.Nurul M, Uddin G, Uddin N, Rahaman Z, Ahmed S, Hossain S, et al. Heliyon A hospital based survey to evaluate knowledge, awareness and perceived barriers regarding breast cancer screening among females in Bangladesh. Heliyon. 2020;6:e03753. doi: 10.1016/j.heliyon.2020.e03753. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Nunnally JC. Psychometric Theory. 2nd ed. Hillsade, NJ: Mcgraw-hill; 1978. [Google Scholar]
- 27.Yuan J, Yi W, Miao M, Zhang L. Evaluating the impacts of health, social network and capital on craft efficiency and productivity: A case study of construction workers in China. Int J Environ Res Public Health. 2018;15:1–25. doi: 10.3390/ijerph15020345. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Gupta SK, Pal DK, Garg R, Tiwari R, Shrivastava AK, Bansal M. Impact of a health education intervention program regarding breast self examination by women in a Semi-Urban Area of Madhya Pradesh, India. Asian Pacific J Cancer Prev. 2009;10:1113–8. [PubMed] [Google Scholar]
- 29.Nisha B, Murali R. Impact of health education intervention on breast cancer awareness among rural women of Tamil Nadu. Indian J Community Med. 2020;45:149–53. doi: 10.4103/ijcm.IJCM_173_19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Masood I, Saleem A, Hassan A, Sadeeqa S, Akbar J. A quantitative study to assess breast cancer awareness among females in Bahawalpur Pakistan. Cogent Med. 2016;3:1236479. [Google Scholar]
