{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T05:54:10Z","timestamp":1781589250016,"version":"3.54.5"},"reference-count":19,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T00:00:00Z","timestamp":1781568000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Osteoporosis (OP) is a systemic bone disease often coexisting with multiple conditions. However, the population-level, real-time epidemiological links and synchronized seasonal trends between OP and a broad spectrum of comorbidities remain poorly characterized. This study aimed to utilize internet big data to analyze correlation in search trends between OP and associated diseases and assess the potential impact of COVID-19 containment measures on public attention.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We employed the Baidu Index (BI) to collect monthly average search volume data for the Chinese keyword \u201costeoporosis\u201d and 14 related diseases [including Leukemia, Multiple Myeloma (MM), Hyperthyroidism (hyperT), Osteoarthritis (OA), Rheumatoid Arthritis [RA], Lymphoma, Chronic Pancreatitis (CP), Anorexia Nervosa (AN), Diabetes Mellitus (DM), Gaucher Disease (GD), Menopausal Syndrome, Stiff Person Syndrome (SPS), Cushing Syndrome (CS), Langerhans Cell Histiocytosis (LCH)] from January 2011 to December 2024. Spearman\u2019s correlation coefficients were used for trend analysis. Search volumes during the first 5\u202fmonths of 2019, 2020, and 2021 were compared to assess the short-term impact of isolation measures.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Over 14\u202fyears, OP search trends showed strikingly synchronous seasonal patterns with Leukemia, MM, hyperT, OA, RA, Lymphoma, CP, AN, and DM (all\n                      <jats:italic>R<\/jats:italic>\n                      \u202f&amp;gt;\u202f0.615,\n                      <jats:italic>p<\/jats:italic>\n                      \u202f&amp;lt;\u202f0.05), featuring a February trough, a March spike, a summer peak, and a gentle April\u2013December trend. Monthly correlations were significant for OP with MM, OA, hyperT, Lymphoma, CP, Leukemia, Menopausal Syndrome, SPS, CS, LCH, AN, and DM (R range: 0.212\u20130.591,\n                      <jats:italic>p<\/jats:italic>\n                      \u202f&amp;lt;\u202f0.05), but not with GD or RA. During the pandemic intervention, search volumes for OP, OA, Leukemia, MM, Lymphoma, hyperT, CP, DM, and Menopausal Syndrome in Jan-May 2020 decreased significantly vs. 2019 (\n                      <jats:italic>p<\/jats:italic>\n                      \u202f&amp;lt;\u202f0.05). By Jan-May 2021, searches for OA, Leukemia, MM, and DM remained below 2019 levels.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Significant seasonal co-occurrence patterns in public attention exist between OP and several diseases, suggesting potential areas for further clinical investigation, but not direct epidemiological linkage. The short-term decline in search volumes associated with containment measures indirectly reflects the influence of societal interventions on disease-related information-seeking behavior. These findings provide a novel big-data perspective on OP comorbidities and population-level responses to public health events, informing integrated bone health strategies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpubh.2026.1849728","type":"journal-article","created":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T05:38:52Z","timestamp":1781588332000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Epidemiological correlations and seasonal patterns of osteoporosis and its comorbidities: a 14-year big data analysis using search engine trends"],"prefix":"10.3389","volume":"14","author":[{"given":"Wei","family":"Tao","sequence":"first","affiliation":[{"name":"Nanchang County People\u2019s Hospital","place":["Nanchang, Jiangxi, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cheng","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Otorhinolaryngology Head and Neck Surgery, Guangzhou First People's Hospital, School of Medicine, South China University of Technology","place":["Guangzhou, Guangdong, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinhua","family":"Zhu","sequence":"additional","affiliation":[{"name":"Nanchang County People\u2019s Hospital","place":["Nanchang, Jiangxi, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Cui","sequence":"additional","affiliation":[{"name":"Department of Emergency, Foshan Women and Children Hospital","place":["Guangzhou, Guangdong, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiantian","family":"Li","sequence":"additional","affiliation":[{"name":"Nanchang County People\u2019s Hospital","place":["Nanchang, Jiangxi, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhe","family":"Chen","sequence":"additional","affiliation":[{"name":"Nanchang County People\u2019s Hospital","place":["Nanchang, Jiangxi, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingjun","family":"Liu","sequence":"additional","affiliation":[{"name":"Nanchang County People\u2019s Hospital","place":["Nanchang, Jiangxi, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linlin","family":"Pan","sequence":"additional","affiliation":[{"name":"Department of Otorhinolaryngology Head and Neck Surgery, The Fourth Affiliated Hospital of Guangzhou Medical University","place":["Guangzhou, Guangdong, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongbo","family":"Li","sequence":"additional","affiliation":[{"name":"Nanchang County People\u2019s Hospital","place":["Nanchang, Jiangxi, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,6,16]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"afac147","DOI":"10.1093\/ageing\/afac147","article-title":"The UN decade of healthy ageing: strengthening measurement for monitoring health and wellbeing of older people","volume":"51","author":"Amuthavalli Thiyagarajan","year":"2022","journal-title":"Age Ageing"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"1552","DOI":"10.4067\/S0034-98872015001200008","article-title":"Hip fracture. 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