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<p>Arthritis is a common condition that causes articular cartilage damage, joint tissue destruction, and ligament involvement, representing one of the leading causes of disability worldwide.&#xa0;This study aimed to analyze long-term trends and characterize seasonal patterns in global online information-seeking behavior related to arthritis and its associated terms using Google Trends data.&#xa0;We retrieved monthly relative search volume (RSV) data for the search terms “arthritis”, “ankylosing spondylitis (AS)”, “gout”, “juvenile idiopathic arthritis (JIA)”, “osteoarthritis (OA)”, “psoriatic arthritis (PsA)”, “rheumatoid arthritis (RA)”, and “systemic lupus erythematosus (SLE)” from Jan 2004 to Dec 2022. Long-term trends were visualized using time-series plots, and seasonal patterns were assessed using cosinor analysis.&#xa0;Analysis of global RSV from 2004 to 2022 revealed distinct and divergent long-term trends across arthritis-related terms. The general term “arthritis,” along with “OA” and “RA,” displayed an initial decline until around 2010–2011, followed by a sustained recovery and gradual increase. In contrast, “AS,” “gout,” and “PsA” exhibited consistent upward trends throughout the period, while “JIA” progressively declined and “SLE” remained stable. More importantly, cosinor analysis confirmed statistically significant seasonal patterns (all <i>P</i> &lt; 0.05) for “arthritis”, “JIA”, “OA”, “PsA”, and “RA”, with amplitudes ranging from 2.28 to 4.22. These rhythms were characterized by a reproducible peak in late winter to early spring (acrophase: Feb 5–Apr 5) and a trough in late summer to early autumn. Thematic analysis of rising queries highlighted public focus on disease classification, clinical manifestations, and treatment-related information.&#xa0;Global online interest in arthritis, as measured by RSV, demonstrated significant long-term and seasonal patterns. The changes in the public’s interest in arthritis-related terms can reflect the public awareness and potential medical needs. Our findings underscore the importance of infodemiology in public health monitoring.</p>

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Seasonal pattern, global search trend, and public interest in arthritis from 2004 to 2022: an infodemiology study

  • 期刊论文

  • 发表日期：

    2025年10月31日

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  • Yan-Yu Zhu,
  • Xiao Hu,
  • Xiao-Song Wang,
  • Sheng Li,
  • Peng Wang,
  • Hai-Feng Pan

摘要

Arthritis is a common condition that causes articular cartilage damage, joint tissue destruction, and ligament involvement, representing one of the leading causes of disability worldwide. This study aimed to analyze long-term trends and characterize seasonal patterns in global online information-seeking behavior related to arthritis and its associated terms using Google Trends data. We retrieved monthly relative search volume (RSV) data for the search terms “arthritis”, “ankylosing spondylitis (AS)”, “gout”, “juvenile idiopathic arthritis (JIA)”, “osteoarthritis (OA)”, “psoriatic arthritis (PsA)”, “rheumatoid arthritis (RA)”, and “systemic lupus erythematosus (SLE)” from Jan 2004 to Dec 2022. Long-term trends were visualized using time-series plots, and seasonal patterns were assessed using cosinor analysis. Analysis of global RSV from 2004 to 2022 revealed distinct and divergent long-term trends across arthritis-related terms. The general term “arthritis,” along with “OA” and “RA,” displayed an initial decline until around 2010–2011, followed by a sustained recovery and gradual increase. In contrast, “AS,” “gout,” and “PsA” exhibited consistent upward trends throughout the period, while “JIA” progressively declined and “SLE” remained stable. More importantly, cosinor analysis confirmed statistically significant seasonal patterns (all P < 0.05) for “arthritis”, “JIA”, “OA”, “PsA”, and “RA”, with amplitudes ranging from 2.28 to 4.22. These rhythms were characterized by a reproducible peak in late winter to early spring (acrophase: Feb 5–Apr 5) and a trough in late summer to early autumn. Thematic analysis of rising queries highlighted public focus on disease classification, clinical manifestations, and treatment-related information. Global online interest in arthritis, as measured by RSV, demonstrated significant long-term and seasonal patterns. The changes in the public’s interest in arthritis-related terms can reflect the public awareness and potential medical needs. Our findings underscore the importance of infodemiology in public health monitoring.