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Patterns in negative emotions, sleep disorders, and temperature: Evidence from microblog big data
Xiaowen Li1,2, Jun Zhang2, Bing Li3
1College of Geography and Tourism, Anhui Normal University, Wuhu, 241000, China.
Heliyon
|November 29, 2023
Summary
Extreme temperatures significantly impact microblog negative emotions (MNE) and sleep disorders, with apparent air temperature being a key predictor. Females are more susceptible to these effects, highlighting the link between climate, mental health, and behavior.
Area of Science:
- Environmental Psychology
- Public Health
- Computational Social Science
Background:
- Previous research links temperature to mental illness and sleep disorders.
- The relationship between temperature, microblog negative emotions (MNE), and sleep disorders remains underexplored.
- This study investigates the climate-psychology-behavior schema.
Purpose of the Study:
- To elucidate temperature patterns associated with MNE and sleep disorders.
- To examine the predictive capability of MNE on sleep disorders.
- To analyze the moderating role of gender in these relationships.
Main Methods:
- A negative binomial regression model (NBR) was developed.
- Data included temperature, apparent air temperature (AAT), microblog MNE, and sleep disorder records.
- Statistical analysis explored non-linear associations and predictive effects.
Main Results:
- Both temperature and AAT showed non-linear associations with MNE and sleep disorders.
- Extreme temperatures (high and low) had substantial effects, while moderate temperatures had modest effects.
- AAT was a stronger predictor than actual temperature, and MNE effectively predicted sleep disorders.
Conclusions:
- Social media data can enhance the identification and prevention of mental and public health issues.
- Understanding temperature's impact on MNE and sleep disorders is crucial for public health strategies.
- Gender moderates the susceptibility to temperature-related MNE and sleep disorder risks.
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