scholarly journals How Social Networks May Influence Cancer Patients' Situated Identity and Illness-Related Behaviors

2018 ◽  
Vol 6 ◽  
Author(s):  
Eric C. Jones ◽  
Martin Storksdieck ◽  
Maria L. Rangel
Keyword(s):  
Social Networks ◽  
Cancer Patients ◽  
Situated Identity

scholarly journals Cancer Narratives in Instagram: Self-presentation of Cancer Patients

Discourse ◽  
2021 ◽  
Vol 6 (6) ◽  
pp. 99-112
Author(s):  
V. G. Silantieva ◽  
A. V. Kozhokina
Keyword(s):  
Social Networks ◽  
Cancer Patients ◽  
English Language ◽  
Identification Procedure ◽  
Self Presentation ◽  
Alternative Discourse ◽  
Incurable Disease ◽  
The Media ◽  
War Metaphor ◽  
Language Corpus

Introduction. The paper aims to establish whether cancer discourse can alter when being communicated via social networks. We supposed that every platform has intrinsic characteristics which might affect the way certain topics are being delivered. Because there has been much criticism from the cancer community about the media representation, we decided to observe what might be called an alternative discourse of cancer of social networks. Therefore, we chose to review Instagram accounts of two cancer influencers, who aspire to revise existing stereotypes about people with an incurable disease.Methodology and sources. The chosen methodology includes the statistical concordance analysis, Metaphorical Identification Procedure (MIP), structural semantic and syntactic studies of two narratives organized as a minicorpus. The combined approach was employed to reveal lexical markers of both cancer discourse and Instagram narratives in the narratives of two Insta influencers Nicky Newman and Laura Hughes.Results and discussion. The results of the study suggest that Instagram narratives of cancer patients differ from other texts about cancer. Bloggers strive to maintain constant simultaneous communication with a large number of people; therefore, their texts are designed to be entertaining, involving and diverse in subject matter. When narrating about their life with the cancer diagnosis, bloggers broadcast a positive media image of a happygo-lucky person. In the narratives chosen for this study, there is hardly an example of the CANCER-WAR metaphor. The main ways of conceptualizing cancer are the CANCERCONSPIRACY, CANCER-JOURNEY, CANCER-COHABITANT metaphors.Conclusion. Quantitative analysis of the English language corpus aimed at identifying key words and concordances of the lexeme ”cancer”, does not help fully define the cancer discourse. It is necessary to further research into the obtained data. Consequently, it is necessary to take into account the genre of ”cancer” narratives.

scholarly journals Social networks and quality of life among female breast cancer patients at Tikur Anbessa Specialzed Hospital, Addis Ababa, Ethiopia 2019

2019 ◽  
Author(s):  
Rahle Aberaraw ◽  
Addisu Yeshambel ◽  
Abdisa Boka ◽  
Roza Teshome
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Social Networks ◽  
Cancer Patients ◽  
Addis Ababa ◽  
Female Breast Cancer ◽  
Breast Cancer Patients ◽  
Female Breast ◽  
Specialized Hospital

Abstract Background Breast cancer is a major life-threatening public health problem in the world. It is the most common form of cancer among women in many developing countries including Ethiopia. Social networks could change the course of cancer and can influence the quality of life among breast cancer patients. Therefore, the purpose of this study was to assess social networks and quality of life among female breast cancer patients attending in Tikur Anbassa Specialized Hospital, Addis Ababa, Ethiopia 2019. Methods An institutional based cross-sectional study was conducted in Tikur Anbessa Specialized Hospital Addis Ababa, Ethiopia from March to April 2019. A total of 214 female breast cancer patients were included and systematic sampling method was used. A structured and pre-tested questionnaire was used. Data entry was done using epi data-manager version 4.2. Data analysis was done using Statistical Package for the Social Sciences version 25. Binary and multiple logistic regression was used to show the association of social networks and quality of life. The strength of association was declared P-value <0.05 and 95%CI was used. Result A total of 214 women with breast cancer were recruited. The mean age was 41.85. Among total participants, 13(6%), 65(30%) and 136(64%) had limited, medium and diverse social networks respectively. Whereas, 198(92.52%) of them had affected quality of life. Participants who were illiterate were more likely to have affected quality of life by 3 times than who were more educated (AOR=3, 95%CI: 1.3,6.9, COR=4.8) and who had systematic therapy side effects were more likely to have affected QoL by 3.8 times than who had no systemic therapy side effect (AOR=3.8, 95%CI: 1.1,13, COR=4). Conclusion and recommendation In this study finding quality of life in breast cancer was low. Healthcare providers especially working at oncology department need to focus on addressing side effects of therapy and social networks which may help to improve quality of life of women with breast cancer.

scholarly journals Impact of Family and Social Network on Tobacco Cessation Amongst Cancer Patients

2021 ◽  
Vol 28 ◽  
pp. 107327482110566
Author(s):  
Melissa Neumann ◽  
Neal Murphy ◽  
Nagashree Seetharamu
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Cancer Survivors ◽  
Cancer Patients ◽  
Tobacco Cessation ◽  
Family Members ◽  
Second Primary ◽  
Entire Family ◽  
Second Primary Cancers ◽  
Diagnosis Of Cancer

Continued smoking after a cancer diagnosis adversely affects outcomes, including recurrence of the primary cancer and/or the development of second primary cancers. Despite this, prevalence of smoking is high in cancer survivors and higher in survivors of tobacco-related cancers. The diagnosis of cancer provides a teachable moment, and social networks, such as family, friends, and social groups, seem to play a significant role in smoking habits of cancer patients. Interventions that involve members of patients’ social network, especially those who also smoke, might improve tobacco cessation rates. Very few studies have been conducted to evaluate and target patients’ social networks. Yet, many studies have demonstrated that cancer survivors who received higher levels of social support were less likely to be current smokers. Clinicians should be doing as much as they can to encourage smoking cessation in both patients and relevant family members. Research aimed at influencing smoking behavioral change in the entire family is needed to increase cessation intervention success rate, which can ultimately improve the health and longevity of patients as well as their family members.

scholarly journals Social networks and quality of life among female breast cancer patients at Tikur Anbessa Specialzed Hospital, Addis Ababa, Ethiopia 2019

2019 ◽  
Author(s):  
Rahel Aberaraw(Former Corresponding Author) ◽  
Abdisa Boka ◽  
Roza Teshome ◽  
Addisu Yeshambel(New Corresponding Author)
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Social Networks ◽  
Cancer Patients ◽  
Addis Ababa ◽  
Female Breast Cancer ◽  
P Value ◽  
Breast Cancer Patients ◽  
Female Breast

Abstract Background : Breast cancer is a major life-threatening public health problem in the world. It is the most common form of cancer on females in many developing countries including Ethiopia. Social networks could change the course of cancer and can influence the quality of life among breast cancer patients. Therefore, the purpose of this study was to assess social networks and quality of life among female breast cancer patients attending in Tikur Anbassa Specialized Hospital, Addis Ababa, Ethiopia 2019. Methods : An institutional-based cross-sectional study was conducted in Tikur Anbessa Specialized Hospital Addis Ababa, Ethiopia from March to April 2019. A total of 214 female breast cancer patients were included and a systematic sampling method was used. A structured and pre-tested questionnaire was used. Data entry was done using epi data version 4.2. Data analysis was done using Statistical Package for the Social Sciences version 25. Binary and multiple logistic regression was used to show the association of social networks and quality of life. The strength of association was declared P-value <0.05 and 95%CI was used. Result: A total of 214 female with breast cancer were recruited with a mean age of 41.85. From participants, 13(6%), 65(30%) and 136(64%) had limited, medium and diverse social networks respectively. However, 198(92.52%) of them had affected the quality of life. It was found that participants who had children (AOR=5, 95%CL:1.3,21 COR=6), and other relatives(AOR=6, 95%CI: 1.2,30, COR=7), were more likely to have good social networks. In addition, it was found that participants who had systematic therapy side effects(AOR=3.8, 95%CI: 1.1,13, COR=4, p value=0.035), problem of appetite loss(AOR=3.5, 95%CI: 1.02,12 COR=4, p-value= 0.047) were more likely to have affected Quality of life. Conclusion: In this study finding, the quality of life and social networks on breast cancer females was relatively low. Healthcare providers especially working at the oncology department need to focus on addressing the side effects of therapy and social networks which may help to improve the quality of life of females with breast cancer.

scholarly journals Social networks and quality of life among female breast cancer patients at Tikur Anbessa Specialzed Hospital, Addis Ababa, Ethiopia 2019

2020 ◽  
Author(s):  
Rahle Aberaraw ◽  
Abdisa Boka ◽  
Roza Teshome ◽  
Addisu Yeshambel
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Social Networks ◽  
Cancer Patients ◽  
Addis Ababa ◽  
Female Breast Cancer ◽  
Breast Cancer Patients ◽  
Female Breast ◽  
Specialized Hospital

Abstract Background: Breast cancer is a major life-threatening global public health problem. It is the most common form of cancer in females in many developing countries including Ethiopia. Social networks could change the course of cancer and can influence the quality of life among breast cancer patients. Therefore, the purpose of this study was to assess social networks and quality of life among female breast cancer patients attending in Tikur Anbassa Specialized Hospital, Addis Ababa, Ethiopia 2019. Methods: An institutional-based cross-sectional study was conducted in Tikur Anbessa Specialized Hospital Addis Ababa, Ethiopia from March 1 to April 30/2019. A total of 214 female breast cancer patients were included Binary and multiple logistic regression was used to show the association of social networks and quality of life. Result: A total of 214 females with breast cancer were recruited with a mean age of 41.85. Participants who had children (AOR=5, 95%CL: 1.3,21 COR=6), and other relatives (AOR=6, 95%CI: 1.2,30, COR=7), were more likely to have good social networks. Participants who were not married (AOR=0.02, 95%CI: 0.03, 0.28), had no parents living (AOR=0.1, 95%CI: 0.02, 0.4), no close friends (AOR=0.06, 95%CI: 0.01, 0.4), and no neighbors (AOR=0.09, 95%CI: 0.03, 0.5) had poor social networks. Conclusion: The quality of life was relatively low and social networks were found to be poor in women with breast cancer. Health-care providers in oncology departments need to focus on addressing the side effects of therapy and social networks which may help to improve the quality of life of females with breast cancer.

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