The impact of community health educators on uptake of cervical and breast cancer prevention services in Nigeria

2017 ◽  
Vol 137 (3) ◽  
pp. 319-324 ◽  
Author(s):  
Chibuike O. Chigbu ◽  
Azubuike K. Onyebuchi ◽  
Tonia C. Onyeka ◽  
Boniface U. Odugu ◽  
Cyril C. Dim
2006 ◽  
Vol 101 (1) ◽  
pp. 95-104 ◽  
Author(s):  
Peter A. Fasching ◽  
Gunter von Minckwitz ◽  
Thorsten Fischer ◽  
Manfred Kaufmann ◽  
Beate Schultz-Zehden ◽  
...  

Breast Care ◽  
2018 ◽  
Vol 13 (2) ◽  
pp. 108-113 ◽  
Author(s):  
Jacqueline Lammert ◽  
Sabine Grill ◽  
Marion Kiechle

Increasing rates of obesity, lack of physical activity, sedentary behavior, and frequent alcohol consumption are major lifestyle-related risk factors for breast cancer. In fact, it has been estimated that about one-third of breast cancer cases are attributable to factors women can change. Most research has focused on examining the impact of one single exposure on breast cancer risk while adjusting for other risk modifiers. Capitalizing on big data, major efforts have been made to evaluate the combined impact of well-established lifestyle factors on overall breast cancer risk. At the individual level, data indicate that even simple behavior modifications could have a considerable impact on breast cancer prevention. Moreover, there is emerging new evidence that adopting a healthy lifestyle may be particularly relevant for women with hereditary susceptibility to breast cancer. On the absolute risk scale, studies suggest that the presence of certain risk factors, such as excessive body weight, had a substantially higher impact on breast cancer risk if women had a hereditary predisposition to cancer. The existing body of knowledge gives the medical professionals guidance as to which factors to focus on when counseling patients. However, well-designed randomized controlled trials utilizing objective methods are crucial to providing concrete recommendations.


Nutrients ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1559
Author(s):  
Dominika Kuran ◽  
Anna Pogorzelska ◽  
Katarzyna Wiktorska

Breast cancer is the most prevalent type of cancer among women worldwide. There are several recommended methods of breast cancer prevention, including chemoprevention. There are several approved drugs used to prevent breast cancer occurrence or recurrence and metastasizing. There are also a number of new substances undergoing clinical trials and at the stage of initial study. Studies suggest that dietary factors play a crucial role in breast cancer etiology. Epidemiological studies indicate that in particular vegetables from the Brassicaceae family are a rich source of chemopreventive substances, with sulforaphane (SFN) being one of the most widely studied and characterized. This review discusses potential applicability of SFN in breast cancer chemoprevention. A comprehensive review of the literature on the impact of SFN on molecular signalling pathways in breast cancer and breast untransformed cells is presented. The presented results of in vitro and in vivo studies show that this molecule has a potential to act as a preventive molecule either to prevent disease development or recurrence and metastasizing, and as a compound protecting normal cells against the toxic effects of cytostatics. Finally, the still scanty attempts to develop an improved analog are also presented and discussed.


Author(s):  
Chiara Jongerius ◽  
Selena Russo ◽  
Ketti Mazzocco ◽  
Gabriella Pravettoni

BACKGROUND The use of mobile health (mHealth) apps in clinical settings is increasing widely. mHealth has been used to promote prevention, improve early detection, manage care, and support survivors and chronic patients. However, data on the efficacy and utility of mHealth apps are limited. OBJECTIVE The main objective of this review was to provide an overview of the available research-tested interventions using mHealth apps and their impact on breast cancer care. METHODS A systematic search of Medline, PsycINFO, Embase, and Scopus was performed to identify relevant studies. From the selected studies, the following information was extracted: authors, publication date, study objectives, study population, study design, interventions’ features, outcome measures, and results. RESULTS We identified 29 empirical studies that described a health care intervention using an mHealth app in breast cancer care. Of these, 7 studies were about the use of an mHealth application in an intervention for breast cancer prevention and early detection, 12 targeted care management, and 10 focused on breast cancer survivors. CONCLUSIONS Our results indicate consistent and promising findings of interventions using mHealth apps that target care management in breast cancer. Among the categories of mHealth apps focusing on survivorship, mHealth-based interventions showed a positive effect by promoting weight loss, improving the quality of life, and decreasing stress. There is conflicting and less conclusive data on the effect of mHealth apps on psychological dimensions. We advocate further investigation to confirm and strengthen these findings. No consistent evidence for the impact of interventions using mHealth apps in breast cancer prevention and early detection was identified due to the limited number of studies identified by our search. Future research should continue to explore the impact of mHealth apps on breast cancer care to build on these initial recommendations.


2019 ◽  
Author(s):  
Liang Chen ◽  
Xiaodong Yang ◽  
Lunrui Fu ◽  
Xiaoming Liu ◽  
Congyi Yuan

BACKGROUND With the rise of mobile technology, an increasing number of people use mobile-based social media to access health information. Many scholars have explored the nature of health information on social media; however, the impact of such information on people was understudied. OBJECTIVE This study aimed to examine the nature and impact of health information on mobile-based social media. Specifically, we investigated how the levels of threat and efficacy of breast cancer prevention information affect individuals’ engagement with the information, such as readings and likes. METHODS Breast cancer prevention articles posted on a Chinese mobile-based social media platform (ie, WeChat Subscription Account [WeChat SA]) from January 1 to December 31, 2017, were extracted using the Python Web Crawler. We used content analysis and analysis of covariance to analyze our data. RESULTS The results revealed that the vast majority of titles and main bodies of the articles involved one of the extended parallel process model components: threat or efficacy. CONCLUSIONS Breast cancer prevention information on WeChat SA was well designed. Both threat and efficacy significantly affected the number of readings, whereas only efficacy had a significant effect on the number of likes. Moreover, breast cancer prevention information that contained both high levels of threat and efficacy gained the largest number of readings and likes.


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