In recent years, the widespread use of social media and digital platforms has led to the emergence of behavioural patterns such as doomscrolling, which involves the compulsive consumption of negative or distressing online content. This can often lead to increased anxiety and psychological distress. While this phenomenon has been studied extensively in the general population, its impact on individuals with chronic pain conditions, particularly fibromyalgia, remains largely unexplored. FM is a complex disorder characterised by widespread musculoskeletal pain, fatigue, sleep disturbances and cognitive difficulties, often accompanied by heightened emotional distress. As FM patients often experience anxiety and depression and engage in maladaptive coping strategies, doomscrolling may exacerbate their symptoms and impair their overall well-being.

Existing research suggests that excessive social media use is linked to social media addiction (SMA), fear of missing out (FoMO) and poor sleep quality - all of which are particularly relevant to FM patients, who already struggle with sleep dysfunction and psychosocial challenges. Nevertheless, no investigation heretofore has specifically scrutinised the association between doomscrolling, SMA, FoMO and fibromyalgia-related disability. Understanding these associations could provide valuable insights into how digital behaviours influence FM symptomatology and help to identify potential intervention targets to mitigate negative outcomes.

In recent years, the widespread use of social media and digital platforms has led to the emergence of behavioural patterns such as doomscrolling, which involves the compulsive consumption of negative or distressing online content. This can often lead to increased anxiety and psychological distress. While this phenomenon has been studied extensively in the general population, its impact on individuals with chronic pain conditions, particularly fibromyalgia, remains largely unexplored. FM is a complex disorder characterised by widespread musculoskeletal pain, fatigue, sleep disturbances and cognitive difficulties, often accompanied by heightened emotional distress. As FM patients often experience anxiety and depression and engage in maladaptive coping strategies, doomscrolling may exacerbate their symptoms and impair their overall well-being.

Existing research suggests that excessive social media use is linked to social media addiction (SMA), fear of missing out (FoMO) and poor sleep quality - all of which are particularly relevant to FM patients, who already struggle with sleep dysfunction and psychosocial challenges. Nevertheless, no investigation heretofore has specifically scrutinised the association between doomscrolling, SMA, FoMO and fibromyalgia-related disability. Understanding these associations could provide valuable insights into how digital behaviours influence FM symptomatology and help to identify potential intervention targets to mitigate negative outcomes.

This cross-sectional study aims to: - assess the prevalence and severity of doomscrolling in fibromyalgia patients;- examine the relationships between doomscrolling, social media addiction (Bergen Scale), fear of missing out (FoMO Scale), fibromyalgia impact (Fibromyalgia Impact Questionnaire) and sleep disturbances (Pittsburgh Sleep Quality Index);- explore whether doomscrolling and related digital behaviours are associated with worse fibromyalgia symptom severity and quality of life.

By investigating these associations, the study will contribute to the growing body of literature on digital well-being in populations with chronic pain and inform future interventions aimed at promoting healthier media consumption habits among patients with fibromyalgia.

Inclusion Criteria:

• Being within the 18-49 age group (based on date of birth).
• Not practising any regular sport or exercise.
• Not having any chronic health problems or physical disabilities.
• Volunteering to participate in the study.

Exclusion Criteria:

• The presence of diagnosed neurological diseases that may adversely affect quality of life (similar to MS or migraine).
• The presence of diagnosed psychiatric diseases that may adversely affect quality of life (similar to depression or OCD).
• The presence of diagnosed rheumatological diseases that may adversely affect quality of life (e.g. rheumatoid arthritis or ankylosing spondylitis).
• Not using a smartphone as part of one's lifestyle (i.e. not using applications).

• The sample will consist of patients diagnosed with "Fibromyalgia" who are under the follow-up of Uşak Training and Research Hospital, Department of Physical Medicine and Rehabilitation.
• A small control group of 50 participants will be included in the study. To minimise confounding factors, healthy subjects will be matched with controls demographically (age, gender and education).

Research data supporting this publication are available upon request from the authors. The datasets generated and/or analyzed during the current study are available from the corresponding author

After the study was published

If the study is published in a journal, then the data will be open