BACKGROUND: Breast cancer is the most common cancer among women worldwide. High-income countries have a greater incidence and mortality rate of breast cancer than low-income countries. As a result, raising awareness about breast cancer is crucial in increasing the chances of early detection and treatment. Social media has evolved into an essential tool for Breast Cancer Awareness Month campaigns, allowing people to share their breast cancer stories and experiences while also providing a venue for education and support.
OBJECTIVE: The aim of this study was to assess the level of public interest in searches linked to breast cancer among a sample of high-income nations with a sizable internet user base from 2012 to 2022. We also sought to compare the proportional search volume for breast cancer during Breast Cancer Awareness Month with that during other months of the year.
METHODS: Google Trends was used to retrieve data on internet user search behaviors in the context of breast cancer from 2012 to 2022. Seven countries were evaluated in this study: Australia, Canada, Ireland, New Zealand, the United Kingdom, Saudi Arabia, and the United States, in addition to global data. Breast cancer relative search volume trends were analyzed annually, monthly, and weekly from 2012 to 2022. The annual percent change (APC) was calculated for each country and worldwide. Monthly and weekly data were used to identify potential trends.
RESULTS: A fluctuating pattern in APC rates was observed, with a notable increase in 2018 and a significant decrease in 2020, particularly in Saudi Arabia. Monthly analysis revealed a consistent peak in search volume during October (Breast Cancer Awareness Month) each year. Weekly trends over a 20-year period indicated significant decreases in Australia, Canada, New Zealand, and the United States, while increases were noted in Ireland. Heatmap analysis further highlighted a consistent elevation in median search volume during October across all countries.
CONCLUSIONS: These findings underscore the impact of Breast Cancer Awareness Month and suggest potential influences of governmental COVID-19 pandemic control measures in 2020 on internet search behavior.

UNASSIGNED: Suicide is a global health concern, exacerbated by stigma around mental illnesses. Online platforms like Twitter and Sina Weibo have seen a rise in \"online broadcast suicide,\" where individuals share suicidal thoughts and actions. However, there is limited understanding of the epidemiological characteristics, particularly in China. This study aims to analyze the demographics and behaviors of individuals engaging in online broadcast suicide in China to inform targeted prevention strategies.
UNASSIGNED: A total of 525 incidents were identified through systematic retrieval of relevant news reports from online sources. Subsequently, a content analysis was performed on these reports to extract detailed information on the characteristics of each individual incident.
UNASSIGNED: Among the incidents analyzed, the male-to-female ratio was 1:1.6, with an average age of 23.1 ± 5.9 years. Approximately 71.9% took place in Southern China. Unemployment was reported in 15.0% of incidents. Relationship breakup (62.3%) was cited as the leading cause of suicide. Wrist cutting (58.2%) emerged as the predominant suicide method, and home (36.2%) was the most common location for these tragic events. Instant messaging apps were the primary platforms (54.7%) for conveying suicidal thoughts and actions. Additionally, among the 525 incidents examined, 12.0% disclosed having a mental disorder, and 7.6% had a history of prior suicide attempts. Significant variations were observed across age, gender, region, and occupation categories.
UNASSIGNED: This study emphasizes the importance of developing suicide prevention programs for internet users. Besides, interventions should be customized to meet the specific needs of various populations.

There is a growing demand for energy to support economic and social development. There will be many shifts in the energy sector as a result of digitization. Hence, we aim analyzing the linkage between digitalization and environment sustainability by incorporating energy consumption as a moderating factor using data of UK from 1990 to 2020. Different dimensions of digitalization are used as explanatory variables, ecological and carbon footprints are used as outcomes and energy consumption is used as moderator. The findings of autoregressive distributed lag model show that internet users and technological advancement (fixed telephone subscription and mobile cellular) are negatively (positively) linked with ecological and carbon footprints. Energy consumption causes to enhance ecological and carbon footprints and plays an antagonistic role in the nexus of internet users, technological advancement, and ecological and carbon footprints. The effects of mobile cellular and fixed telephone subscription have increased in the presence of energy consumption as moderator which exhibits that energy consumption plays an enhancing role in the links between mobile cellular, fixed telephone subscription and ecological and carbon footprints. The results underscore the importance of taking a holistic approach to addressing the environmental impact of digital technologies. By promoting sustainable communication practices and investing in the development of more energy-efficient technologies, practitioners, managers, and society as a whole can work together to reduce the carbon and ecological footprints of digital technologies and create a more sustainable future for all.

There is an increasing trend in the use of internet as a search tool for health-related informations. Insulin resistance is one of the most searched subjects online and some of the videos about insulin resistance have been watched by millions of YouTube users. This study aims to determine the quality and reliability of the most popular videos about insulin resistance on YouTube.
On March 1, 2022, the term \"insulin resistance\" was searched on YouTube. The videos\' popularity was assessed with Video Power Index (VPI). The quality and reliability were assessed with DISCERN score, modified DISCERN score and global quality score (GQS).
A total of 100 most popular videos were evaluated after applying the exclusion criteria. Fifty-four percent of the videos were very poor-poor, 35 % moderate, and 11 % good-excellent quality. Although few in number, the videos with relatively higher quality and more reliable had higher numbers of views, likes and comments (p < 0.01). There was a positive correlation between DISCERN score and VPI, duration, view, like, dislike, comment numbers of the videos (p < 0.01). Healthcare providers uploaded 58 % of the videos, while independent users uploaded 42 %. Video like ratio (VLR) at healthcare providers\' videos was significantly higher than independent users\' videos (p = 0.001).
Despite the high viewing rates of YouTube videos about insulin resistance, the overall quality and reliability were found to be very low. However, when high quality content regarding popular medical topics is produced, more people can be informed correctly.

As climate warming is intensifying, CO2 emission reduction has aroused the great attention of many governments and scholars. Compared with traditional industrial times, the influencing system of CO2 emission in modern society has taken great changes due to technological advancement, improvement in energy efficiency, and the popularity of the internet. But the current literature has not reached a consensus on this theme. Our study tends to investigate the nexus between international trade, international trade taxes, energy intensity, internet usage, renewable energy, and CO2 emission while incorporating income levels by using the data from Belt and Road countries in the 2008-2020 period. For this purpose, we applied the unit root test, CSD, Granger causality test, AMG, CCMG, and CS-ARDL methods. The results show that energy efficiency, GDP, and internet use have significantly negative effects on CO2 emission, while GDP has significant positive impacts on CO2 emission. By classifying 65 countries along Belt and Road into four groups of low-income level, low-middle income level, upper-middle income level, and a high-income level, the regional heterogeneities of influencing factors of CO2 emission is confirmed. Furthermore, this empirical study provides new insights to policymakers to reduce CO2 emissions through technology innovation, international cooperation, and human capital investment without deteriorating economic growth.

This scoping review has been conducted to summarise the information needs of internet users and their requirements for online health information.
We searched MEDLINE, Web of Science and Scopus up to July 2019. Qualitative, quantitative and mixed-method studies were included and a thematic synthesis with category formation and exact description of the items was carried out.
118 studies were included. To address all users\' needs mentioned in the included studies, we grouped them into nine main categories: authority, comprehension, currency, evidence-based information, exchange with others, independence, purpose, services, user experience. The evaluation showed that website users wanted qualifications of authors to be cited. Users preferred health information that offered interactive elements and resources for relatives, whilst also providing an opportunity for online contact with others. The ease with which information was accessed and the intelligibility of texts were regarded as being very important to users.
Given the rapid evolvement and changes of online health information, it is crucial to provide up to date insights and a comprehensive overview of the range of criteria.
With the results obtained through this scoping review, the creators of online health information could be assisted in providing user-specific resources.

BACKGROUND: Camoni.co.il, a Hebrew-language social health network offers advice, consultation, and connection to others with chronic illness. This study compared characteristics and objectives of Camoni.co.il users and individuals seeking medical information through general Internet sites.
METHODS: Similar questionnaires were sent to 1009 Internet and 900 Camoni users. Cluster analysis defined four modes of online social health network use: \"acquiring information and support\", \"communicating\", \"networking\" and \"browsing\".
RESULTS: Six hundred and five Internet and 125 Camoni users responded. Diabetes, hypertension, obesity and lung diseases were found more often among general Internet users than Camoni users. Among Camoni users, \"acquiring information and support\" was the main motivation for individuals over age 55 years, women, those with lower income, chronic pain, obesity and depression. \"Communicating\" was the main incentive of men, those 20-34 years old, those with less education, or an eating disorder. \"Networking\" was the most significant motivation for those with multiple sclerosis or depression. Browsing was most frequent among individuals with multiple sclerosis.
CONCLUSIONS: Identifying needs of social health network surfers will allow planning unique contents and enhancing social health sites. Physicians might advise patients to use them to obtain support and information regarding their conditions, possibly leading to improved compliance and self-management.

BACKGROUND: Internet addiction disorder is an interdisciplinary phenomenon and it has been studied from different viewpoints in terms of various sciences such as medicine, computer, sociology, law, ethics, and psychology. The aim of this study was to determine the association of psychiatric symptoms with Internet addiction while controlling for the effects of age, gender, marital status, and educational levels. It is hypothesized, that high levels of Internet addiction are associated with psychiatric symptoms and are specially correlated with obsessive-compulsive disorder symptoms.
METHODS: In a cross-sectional study, a total number of 250 students from Isfahan\'s universities were randomly selected. Subjects completed the demographic questionnaire, the Young Diagnostic Questionnaire (YDQ) and the Symptom Checklist-90-Revision (SCL-90-R). Data was analyzed using the multiple logistic regression method.
RESULTS: There was an association between psychiatric symptoms such as somatization, sensitivity, depression, anxiety, aggression, phobias, and psychosis with exception of paranoia; and diagnosis of Internet addiction controlling for age, sex, education level, marital status, and type of universities.
CONCLUSIONS: A great percentage of youths in the population suffer from the adverse effects of Internet addiction. It is necessary for psychiatrists and psychologists to be aware of the mental problems caused by Internet addiction.