{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T06:50:43Z","timestamp":1762930243245,"version":"3.45.0"},"reference-count":49,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"17","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2025,9,2]]},"abstract":"<jats:sec xml:lang=\"en\">\n                    <jats:title>Backgrounds<\/jats:title>\n                    <jats:p xml:lang=\"en\">Maternal hypertensive disorders (MHDs) remain a critical global health challenge, disproportionately impacting low\u2010resource regions. Using GBD (Global Burden of Disease, Injury, and Risk Factor Study) 2021 data, we first analyze global MHD epidemiology from 1990 to 2021 and project trends to 2035.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p xml:lang=\"en\">Age\u2010standardized rates and estimated annual percentage change quantified incidence, prevalence, mortality rate, and disability\u2010adjusted life years. Trends were stratified by sociodemographic index (SDI) and geography. Decomposition analysis attributed temporal variances (1990\u20132021) to demographic aging, population dynamics, and epidemiological shifts. Temporal patterns were assessed via age\u2013period\u2013cohort and Bayesian models, while socioeconomic disparities were measured using Slope and Concentration Index of Inequality, and frontier analysis identified SDI\u2010specific optimal burden thresholds.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p xml:lang=\"en\">New MHD cases rose 15.2% (1990: 15.7 million; 2021: 18.1 million), while deaths and disability\u2010adjusted life years declined by \u224829% (0.038 million deaths; 2.47 million disability\u2010adjusted life years in 2021). Age\u2010standardized incidence fell from 554 to 462 per 100\u2009000 (estimated annual percentage change: \u22120.51). Sub\u2010Saharan Africa and South Asia bore the highest burden. Higher SDI quintiles demonstrated lower MHD burdens, though all metrics exhibited more pronounced declines in lower\u2010SDI regions during 1990\u20132021. Women aged 25 to 29\u2009years faced elevated risks, with incidence peaking in this group. Bayesian age\u2013period\u2013cohort modeling projects consistent global declines in incidence, disability\u2010adjusted life years, prevalence, and mortality rates through 2035.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p xml:lang=\"en\">Despite progress, inequities in MHD burden persist across SDI levels. Targeted interventions in high\u2010risk regions, particularly enhancing prenatal care access and mitigating age\u2010specific risks, are critical. Strengthening primary health care systems and prioritizing maternal health quality could reduce preventable complications.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1161\/jaha.125.043796","type":"journal-article","created":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T05:23:38Z","timestamp":1755926618000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["Geographic Age Cohort Study of Maternal Hypertensive Disorders"],"prefix":"10.1161","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-0270-4341","authenticated-orcid":false,"given":"Rui","family":"Yang","sequence":"first","affiliation":[{"name":"Shanghai Jiao Tong University School of Medicine","place":["Shanghai, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Chen","sequence":"additional","affiliation":[{"name":"Fudan University","place":["Shanghai, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-4002-9835","authenticated-orcid":false,"given":"Qiong","family":"Li","sequence":"additional","affiliation":[{"name":"Jinan University","place":["Guangzhou, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9202-658X","authenticated-orcid":false,"given":"Ying","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shanghai Key Lab of Female Reproductive Endocrine Related Diseases","place":["Shanghai, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4030-0166","authenticated-orcid":false,"given":"Chaoyan","family":"Yue","sequence":"additional","affiliation":[{"name":"Shanghai Key Lab of Female Reproductive Endocrine Related Diseases","place":["Shanghai, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"276","reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1161\/hypertensionaha.117.10803"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.5334\/gh.854"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.3109\/01443615.2012.689891"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0085273"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2020.03.028"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41574-022-00734-y"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cjca.2015.12.011"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.preghy.2016.08.229"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1161\/circulationaha.122.062177"},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1161\/hypertensionaha.124.23765"},{"key":"e_1_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/s2214-109x(14)70227-x"},{"key":"e_1_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12884-021-03809-2"},{"key":"e_1_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12884-024-06931-z"},{"key":"e_1_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1053\/j.semperi.2009.02.010"},{"key":"e_1_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/s0140-6736(24)00757-8"},{"key":"e_1_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/s0140-6736(24)00367-2"},{"key":"e_1_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/s0140-6736(24)00476-8"},{"key":"e_1_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cpcardiol.2023.101982"},{"key":"e_1_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1080\/07853890.2022.2074535"},{"key":"e_1_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.1136\/bmj-2023-078432"},{"key":"e_1_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1016\/s0140-6736(20)30977-6"},{"key":"e_1_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neo.2025.101122"},{"key":"e_1_3_1_24_2","volume-title":"Glbobal Burden of Disease Study 2021 (GBD 2021) Socio\u2010Demographic Index (SDI) 1950\u20132021","author":"Network GBoDC","year":"2024","unstructured":"Network GBoDC . 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