Additional file 1 of Current status and influencing factors of self-management in knee joint discomfort among middle-aged and elderly people: a cross-sectional study

The occurrence of major health events can have a significant impact on public mood and mental health. In this study, we selected Shanghai during the 2019 novel coronavirus pandemic as a case study and Weibo texts as the data source. The ERNIE pre-training model was used to classify the text data into five emotional categories: gratitude, confidence, sadness, anger, and no emotion. The changes in public sentiment and potential influencing factors were analyzed with the emotional sequence diagram method. We also examined the causal relationship between the epidemic and public sentiment, as well as positive and negative emotions. The study found: (1) public sentiment during the epidemic was primarily affected by public behavior, government behavior, and the severity of the epidemic. (2) From the perspective of time series changes, the changes in public emotions during the epidemic were divided into emotional fermentation, emotional climax, and emotional chaos periods. (3) There was a clear causal relationship between the epidemic and the changes in public emotions, and the impact on negative emotions was greater than that of positive emotions. Additionally, positive emotions had a certain inhibitory effect on negative emotions.

/pdf/changes-in-public-sentiment-under-the-background-of-major-2vkqrjh6.pdf

Changes in Public Sentiment under the Background of Major Emergencies—Taking the Shanghai Epidemic as an Example

This study aims to identify the current status and factors influencing self-management of knee discomfort in middle-aged and elderly people in China.A stratified multistage cluster sampling method was used to select participants from communities in China from January 15 to May 31, 2020. A cross-sectional survey was conducted using the general information questionnaire and the Knee Joint Discomfort Self-management Scale. Univariate analysis and a generalized linear model were used to analyze the factors influencing self-management.The prevalence of knee discomfort was 77%. Moderate to severe discomfort accounted for 30.5%. The average item score of self-management in 9640 participants was 1.98 ± 0.76. The highest and lowest levels were: 'daily life management' and 'information management'. Gender, ethnicity, education level, economic source, chronic disease, knee pain in the past month, and the degree of self-reported knee discomfort were significant predictors of self-management.The self-management of knee discomfort in middle-aged and elderly people is poor, and the degree of discomfort is a significant predictor. Healthcare providers should consider socioeconomic demographic and clinical characteristics to help these individuals improve their self-management skills. Attention should also be given to improving their ability to access health information and making them aware of disease risks. 

pdf/current-status-and-influencing-factors-of-self-management-in-2z29lq9j7h.pdf

Current status and influencing factors of self-management in knee joint discomfort among middle-aged and elderly people: a cross-sectional study

GenDT

To explore the mechanism of negative emotions of the elderly in normalization period of COVID-19. The self-rating Depression Anxiety Stress Scale, epidemic attention scale, subjective economic status scale and physical health perception scale were used to investigate 318 elderly people in 2021. There were significant differences in negative emotions among the elderly in Henan in China with different gender, education background, medical insurance and whether they contacted suspected cases (all P < 0.05), but there was no significant difference on religious belief (P > 0.05); Attention to epidemic information was positively correlated with negative emotion (r = 0.492, P < 0.01), and negatively correlated with subjective economic status (r = −0.138, P < 0.05); Negative emotions were negatively correlated with subjective economic status (r = −0.455, P < 0.01) and health perception (r = −0.277, P < 0.01); health perception was no significant correlation with epidemic attention(r = −0.047, P > 0.05) and subjective economic status (r = −0.033, P > 0.05). Bootstrap test found that epidemic attention can significantly predict negative emotion of the elderly (β = 0.492, P < 0.001), subjective economic status played a partial mediating role between epidemic attention and negative emotions (β = 0.438, −0.395, P < 0.001), and health perception moderated the first half of the mediating path (β = 0.403, P < 0.001, 95% CI = [0.286~0.521]). Epidemic attention has a significant positive impact on the negative emotions of the elderly in Henan during normalization period of COVID-19, and it has effect indirectly through subjective economic status; health perception plays a moderator role in the impact of epidemic attention on subjective economic status.

/pdf/mechanism-of-negative-emotions-of-the-elderly-in-2hxfzr4c.pdf

Mechanism of Negative Emotions of the Elderly in Normalization Period of COVID-19: A Mediated Mediation Model

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Mechanism of Negative Emotions of the Elderly in Normalization Period of COVID-19: A Mediated Mediation Model