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\n[https://doi.org/10.1186/s13104-023-06458-0](https://doi.org/10.1186/s13104-023-06458-0)  \nDATA NOTE Open Access  \nWLCD: a dataset of lifestyle in relation with women’s cancer  \nAlireza Ardalani1 and Mojtaba Daneshvar2*  \nAbstract  \nObjectives Social media text mining has been widely used to extract information about the experiences and needs of patients regarding various diseases, especially cancer. Understanding these issues is necessary for further management in primary care. Researchers have identified that lifestyle factors such as diet, exercise, alcohol, and Smoking are associated with cancer risks, particularly women’s cancer. Considering the growing trend in the global burden of women’s cancer, it is essential to monitor up-to-date data sources using text mining.  \nData description We have prepared six independent datasets regarding lifestyle components and women’s cancer:  \n(1) a dataset of nutrition containing 10,161 tweets; (2) a dataset of exercise containing 9412 tweets; (3) a dataset of alcohol containing 2132 tweets; (4) a dataset of Smoking containing 4316 tweets; and (5) a dataset of lifestyle (term) containing 1861 tweets. We also construct an additional dataset: (6) a dataset by summing other components containing 27,882 tweets. These data are provided to discover people’s perspectives, knowledge, and experiences regarding lifestyle and women’s cancer. Hence, it should be valuable for healthcare providers to develop more efficient patient management approaches.  \nKeywords Twitter, Text-mining, Cancer, Women, Lifestyle  \nObjective  \nCancer is one of the leading causes of mortality and morbidity worldwide. Growing trends in cancer burden, especially among women, have become a significant global health issue [1]. Lifestyle factors, including unhealthy diet, physical inactivity [2], smoking, and alcohol use [3], are among the risk factors of cancer targeted for primary control. On the other hand, cancer progression and treatments might affect different aspects of lifestyle in cancer patients [4].  \n*Correspondence:  \nMojtaba Daneshvar  \n[aref.daneshvar@gmail.com](aref.daneshvar@gmail.com)  \n1Iran University of Science and Technology, Tehran, Iran 2Tehran University of medical sciences, Tehran, Iran  \nNowadays, the data mining of social media platforms has become an important emerging tool for understanding the experiences and needs of cancer patients. Thereis a wealth of information available that can be used to gain insight into the patient experience relating to lifestyle patterns [5]. In a previous study, assisted with Twitter data related to breast cancer, researchers identified that physical activity and healthy eating are important factors in symptom management in cases [6]. Another study by analyzing tweets related to site-specific cancers found that physical activity and alcohol consumption are among lifestyle habits that might be associated with liver and breast cancer [7].  \nBy analyzing social media conversations, researchers can identify patterns and trends related to these factors, which can be used to develop targeted public health policies to prevent or manage cancer risk [5, 8].  \n© The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission","cbCailk6nQIvytO6","https://ap.wps.com/l/cbCailk6nQIvytO6","pdf",894142,"English","# Abstract\n# Objective\n# Data description\n## Overview of data files/data sets\n# Licensing","[{\"question\":\"What is the purpose of WLCD in this data note?\",\"answer\":\"WLCD is designed to provide up-to-date, tweet-based lifestyle data related to women’s cancer so researchers and healthcare providers can explore perspectives, knowledge, and experiences.\"},{\"question\":\"What datasets are included in WLCD?\",\"answer\":\"It includes five independent datasets based on lifestyle components—nutrition, exercise, alcohol, smoking, and lifestyle terms—plus a sixth “Total” dataset that combines the other components.\"},{\"question\":\"How were the datasets constructed?\",\"answer\":\"The datasets were prepared from Twitter texts, with counts reported for each component dataset (and a summed total for the combined dataset).\"}]","WLCD: a dataset of lifestyle in relation with women’s cancer - Data note | PDF",1790260597]