Public Discourse and Sentiment Toward Dementia on Chinese Social Media: Machine Learning Analysis of Weibo Posts.

BACKGROUND: Dementia is a global public health priority due to rapid growth of the aging population. As China has the world's largest population with dementia, this debilitating disease has created tremendous challenges for older adults, family caregivers, and health care systems on the mainland nationwide. However, public awareness and knowledge of the disease remain limited in Chinese society. OBJECTIVE: This study examines online public discourse and sentiment toward dementia among the Chinese public on a leading Chinese social media platform Weibo. Specifically, this study aims to (1) assess and examine public discourse and sentiment toward dementia among the Chinese public, (2) determine the extent to which dementia-related discourse and sentiment vary among different user groups (ie, government, journalists/news media, scientists/experts, and the general public), and (3) characterize temporal trends in public discourse and sentiment toward dementia among different user groups in China over the past decade. METHODS: In total, 983,039 original dementia-related posts published by 347,599 unique users between 2010 and 2021, together with their user information, were analyzed. Machine learning analytical techniques, including topic modeling, sentiment analysis, and semantic network analyses, were used to identify salient themes/topics and their variations across different user groups (ie, government, journalists/news media, scientists/experts, and the general public). RESULTS: Topic modeling results revealed that symptoms, prevention, and social support are the most prevalent dementia-related themes on Weibo. Posts about dementia policy/advocacy have been increasing in volume since 2018. Raising awareness is the least discussed topic over time. Sentiment analysis indicated that Weibo users generally attach negative attitudes/emotions to dementia, with the general public holding a more negative attitude than other user groups. CONCLUSIONS: Overall, dementia has received greater public attention on social media since 2018. In particular, discussions related to dementia advocacy and policy are gaining momentum in China. However, disparaging language is still used to describe dementia in China; therefore, a nationwide initiative is needed to alter the public discourse on dementia. The results contribute to previous research by providing a macrolevel understanding of the Chinese public's discourse and attitudes toward dementia, which is essential for building national education and policy initiatives to create a dementia-friendly society. Our findings indicate that dementia is associated with negative sentiments, and symptoms and prevention dominate public discourse. The development of strategies to address unfavorable perceptions of dementia requires policy and public health attention. The results further reveal that an urgent need exists to increase public knowledge about dementia. Social media platforms potentially could be leveraged for future dementia education interventions to increase dementia awareness and promote positive attitudes.

Employment among people with epilepsy in Hong Kong.

BACKGROUND: People with epilepsy (PWE) face difficulties in employment. Hong Kong depends heavily on tertiary industry and enjoys a low unemployment rate. However, there have been rare reports on employment of PWE in Hong Kong. We aimed at (1) investigating the employment status among PWE; (2) correlating demographic and clinical factors with employment status of PWE; and (3) describing the self-perceived impact of epilepsy on employment and their correlations with employment status. METHOD: This was a single center cross-sectional study conducted in 2019. Adult with epilepsy but without intellectual disability of year age 16-65 were recruited. Homemakers and retired persons were excluded. A questionnaire with two parts was given to each patient. The first part focused on objective data about employment. The second part focused on self-perception on the impact of epilepsy on employment. Responders expressed their opinions in 5-point Likert scale. Clinical data were retrieved from the computerized medical record system for interpretation. RESULTS: A total of 138 PWE were recruited. Unemployment rate among the PWE was 33%, which was much higher than the general population. Low education levels, drug-resistant epilepsy, psychiatric comorbidities, and high Charlson Comorbidity Index were correlated to unemployment in PWE. Unemployed respondents significantly more tend to regard that lack of education, stigma of epilepsy, and seizure frequency were main hurdles in employment. CONCLUSIONS: Unemployment is a severe social problem among PWE in Hong Kong. Various objective clinical and demographic factors correlated with unemployment. Work beliefs of a patient may also correlate with the employment status.

Development and validation of a life satisfaction scale for Chinese elders.

This study reports the development and validation of a culturally sensitive, domain-specific measure of life satisfaction for Chinese Elders--The Life Satisfaction Scale--Chinese (LSS-C). The LSS-C was administered to 1,502 randomly-selected older Chinese persons in three newly developed towns in Mainland China. Confirmatory factor analysis supported a conceptually meaningful two-factor model-one of instrumental needs of daily life and one of social and relational needs. Criterion-related validity was satisfactory when positively correlated with a single-item global life satisfaction measure and the Life Satisfaction Index A, and negatively correlated with the Center for Epidemiological Studies Depression Scale. The reliability of the eight-item scale was satisfactory, with the internal consistency coefficient equal to .78 and the split half coefficient equal to .81. LSS-C was direct and easy to administer, and it is recommended for use on Chinese elders.