An explainable predictive model for anxiety symptoms risk among Chinese older adults with abdominal obesity using a machine learning and SHapley Additive exPlanations approach.

Background: Early detection of anxiety symptoms can support early intervention and may help reduce the burden of disease in later life in the elderly with abdominal obesity, thereby increasing the chances of healthy aging. The objective of this research is to formulate and validate a predictive model that forecasts the probability of developing anxiety symptoms in elderly Chinese individuals with abdominal obesity.

Method: This research's model development and internal validation encompassed 2,427 participants from the 2017-2018 Study of the Chinese Longitudinal Healthy Longevity Survey (CLHLS).

Mental Health Benefits of Listening to Music During COVID-19 Quarantine: Cross-Sectional Study.

Background: COVID-19 has posed a significant global threat to public health due to its high contagion risk and lack of effective treatment. While quarantine measures have been crucial in controlling the virus' spread, they have also contributed to negative impacts on individuals' mental health. Music listening has emerged as a potential coping mechanism, yet it remains unclear whether mental well-being varies across music preferences.

Cyanobacteria in late lag and exponential phases suit different pre-chlorination and coagulation strategies.

Pre-chlorination is usually applied to facilitate coagulation process when treating cyanobacteria-laden source waters. However, the responses of cyanobacteria after chlorination were varied in different growth phases, hence how these differences affect the coagulation is not clear. In this study, Microcystis aeruginosa (M.