Children’s social media activity highlights emotional stress of living with long-term health issues

Children with multiple long-term health issues undergo severe emotional stress at the same time as they are trying to cope with the physical challenges of their condition, a study has found.

Research led by the University of Plymouth used AI language models to analyse sentiments and emotions expressed by almost 400 paediatric patients and their caregivers on social media.

In particular, they wanted to assess young people's opinions regarding their care and experiences during the COVID-19 pandemic, and the impact that had on their emotional and psychological wellbeing.

Using anonymous data sourced from the Care Opinion platform, they found that of the narratives analysed, almost 94% of the comments posted were classed as negative and less than 6% were positive.

More than six out of ten negative comments were classed as being association with sadness, with feelings of fear (at almost one in every six comments) also being prevalent.

Children with conditions such as cancer, asthma, chronic pain and mental health conditions showed particularly high emotional distress, highlighting the emotional burden of managing multiple long-term health issues.

The COVID-19 pandemic was also shown to exacerbate the negative sentiments, particularly sadness and disgust, with patients expressing frustration with the healthcare system while isolation and disrupted care routines triggered intense emotional responses.

And while just 6% of the comments were classed as positive, the study found that most of them related to effective communication, compassionate care, and successful treatment outcomes.

The researchers say the study highlights the importance of supporting vulnerable young patients managing complex medical conditions, and the need for integrated care approaches to both physical and emotional well-being.

This research was conceived and led by Professor of e-Health Professor Shang-Ming Zhou , and its data analysis was implemented by MSc Data Science and Business Analytics student Temidayo (Israel) Oluwalade with support from Dr Hossein Ahmadi in Plymouth's Centre for Health Technology , Dr Richard Sharpe with Cornwall Council, and Professor Lin Huo with Guangxi University.