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This study projects ADRD prevalence and associated economic burdens across provinces in China from 2025 to 2060.\n                    <jats:bold>Methods:<\/jats:bold>\n                    Using data from the China Health and Retirement Longitudinal Study (CHARLS) supplemented by national demographic and provincial statistics, we projected the prevalence and care costs of ADRD for each of the 31 provinces in China from 2025 to 2060. Cost projections included formal care expenses and informal caregiving valued through replacement cost methods. We conducted uncertainty analysis to provide robust estimates for ADRD prevalence and costs.\n                    <jats:bold>Results:<\/jats:bold>\n                    By 2060, ADRD cases in China are projected to reach approximately 49.89 million, with the highest prevalence and economic burden concentrated in provinces such as Shandong, Sichuan, Jiangsu, Henan, and Guangdong. Formal care costs alone are expected to exceed $1 trillion annually, while the total economic value\u2014including informal caregiving\u2014could surpass $5 trillion. Geographic disparities highlight that Eastern and Central regions, with a higher proportions of older adults, will bear disproportionate costs. Informal caregiving is projected to constitute 60% to 80% of total ADRD-related costs.\n                    <jats:bold>Conclusion:<\/jats:bold>\n                    China faces an unprecedented rise in ADRD-related economic burden over the next 4 decades, with substantial regional disparities. Strengthening long-term care infrastructure, expanding financial and social support for caregivers, and implementing regionally tailored healthy aging policies are essential to ensuring equitable and sustainable ADRD care across China.\n                  <\/jats:p>","DOI":"10.34133\/hds.0377","type":"journal-article","created":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T13:25:53Z","timestamp":1760361953000},"update-policy":"https:\/\/doi.org\/10.34133\/aaas_crossmark_01","source":"Crossref","is-referenced-by-count":8,"title":["Projected Prevalence and Economic Burden of Alzheimer\u2019s Disease and Related Dementias in China: Regional Disparities and Policy Implications"],"prefix":"10.34133","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9208-7144","authenticated-orcid":true,"given":"Xinyi","family":"Liu","sequence":"first","affiliation":[{"name":"School of Public Health, \rShanghai Jiao Tong University School of Medicine, Shanghai, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simiao","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Population Medicine and Public Health, \rChinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China."},{"name":"Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital, \rHeidelberg University, Heidelberg, Germany."},{"name":"State Key Laboratory of Respiratory Health and Multimorbidity","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Donglan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Center for Population Health and Health Services Research, Department of Foundations of Medicine, \rNew York University Grossman Long Island School of Medicine, Mineola, NY, USA."},{"name":"Department of Population Health, \rNew York University Grossman School of Medicine, New York, NY, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yian","family":"Gu","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, Joseph P. Mailman School of Public Health, \rColumbia University, New York, NY, USA."},{"name":"Taub Institute for Research on Alzheimer\u2019s Disease and the Aging Brain, Gertrude H. Sergievsky Center, and Department of Neurology, \rColumbia University, New York, NY, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gang","family":"Li","sequence":"additional","affiliation":[{"name":"School of Public Health, \rShanghai Jiao Tong University School of Medicine, Shanghai, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bei","family":"Wu","sequence":"additional","affiliation":[{"name":"Rory Meyers College of Nursing, \rNew York University, New York, NY, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jos\u00e9 A.","family":"Pag\u00e1n","sequence":"additional","affiliation":[{"name":"Department of Public Health Policy and Management, School of Global Public Health, \rNew York University, New York, NY, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luxia","family":"Zhang","sequence":"additional","affiliation":[{"name":"National Institute of Health Data Science at Peking University","place":["China"]},{"name":"Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, State Key Laboratory of Vascular Homeostasis and Remodeling, \rPeking University, Beijing, China."},{"name":"Center for Digital Health and Artificial Intelligence, \rPeking University First Hospital, Beijing, China."},{"name":"Advanced Institute of Information Technology, \rPeking University, Hangzhou, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6155-0389","authenticated-orcid":true,"given":"Yan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Public Health, \rShanghai Jiao Tong University School of Medicine, Shanghai, China."},{"name":"Department of Population Health Science and Policy, \rIcahn School of Medicine at Mount Sinai, New York, NY, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"221","published-online":{"date-parts":[[2025,11,21]]},"reference":[{"key":"e_1_3_4_2_2","unstructured":"United Nations. 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