{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T11:37:19Z","timestamp":1786621039352,"version":"build-2736575974"},"reference-count":33,"publisher":"BMJ","issue":"8","license":[{"start":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T00:00:00Z","timestamp":1786579200000},"content-version":"unspecified","delay-in-days":12,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"Taizhou Social Development Science and Technology Program","award":["23ywb98"],"award-info":[{"award-number":["23ywb98"]}]}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2026,7,30]]},"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To examine the association between baseline sleep quality and subsequent glycaemic outcomes in adults with type 2 diabetes mellitus (T2DM), using repeated fasting blood glucose measurements and longitudinal glycaemic pattern analyses.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>Prospective cohort study.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting<\/jats:title>\n                    <jats:p>The Taizhou Diabetes Family-based Cohort in Zhejiang Province, China.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Participants<\/jats:title>\n                    <jats:p>A total of 1421 adults with T2DM with baseline sleep quality assessment and follow-up fasting blood glucose measurements were included.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Main outcome measures<\/jats:title>\n                    <jats:p>Baseline sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Follow-up fasting blood glucose measurements were obtained through 30 June 2025. The primary outcomes were continuous fasting blood glucose levels and binary fasting blood glucose status defined as \u22657.0\u2009mmol\/L during follow-up. Secondary outcomes included glycaemic variability and latent glycaemic trajectory classes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Poorer baseline sleep quality was associated with less favourable glycaemic outcomes during follow-up. In the fully adjusted model, each 1-point increase in PSQI score was associated with a 0.096\u2009mmol\/L higher fasting blood glucose level (95%\u2009CI 0.081 to 0.111), and poor sleep quality was associated with a 0.669\u2009mmol\/L higher fasting blood glucose level (95%\u2009CI 0.547 to 0.791). For the binary outcome, each 1-point increase in PSQI score was associated with higher odds of fasting blood glucose \u22657.0\u2009mmol\/L (OR 1.10, 95%\u2009CI 1.08 to 1.12), and poor sleep quality was associated with 1.61-fold higher odds of fasting blood glucose \u22657.0\u2009mmol\/L (95%\u2009CI 1.37 to 1.91). Higher PSQI scores were also associated with greater glycaemic variability and higher odds of membership in less favourable glycaemic trajectory groups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Among adults with T2DM, poorer baseline sleep quality was associated with higher fasting blood glucose levels, poorer glycaemic control, greater glycaemic variability and less favourable long-term glycaemic trajectories. These findings suggest that sleep quality may be a relevant and easily assessable marker for identifying individuals at risk of suboptimal long-term glycaemic management.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2026-124032","type":"journal-article","created":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T11:10:28Z","timestamp":1786619428000},"page":"e124032","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["Association of poor sleep quality with adverse glycaemic outcomes in Chinese Itadults with type 2 diabetes: a family-based cohort study"],"prefix":"10.1136","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-6530-0289","authenticated-orcid":false,"given":"Bo","family":"Wu","sequence":"first","affiliation":[{"name":"School of Public Health; NHC Key Laboratory of Health Technology Assessment; Key Laboratory of Public Health Safety, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yilu","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Non-communicable Chronic Disease Control and Prevention, Taizhou Center for Disease Control and Prevention, Taizhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Donghui","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Public Health; NHC Key Laboratory of Health Technology Assessment; Key Laboratory of Public Health Safety, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zizhu","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Non-communicable Chronic Disease Control and Prevention, Taizhou Center for Disease Control and Prevention, Taizhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liangyou","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Non-communicable Chronic Disease Control and Prevention, Taizhou Center for Disease Control and Prevention, Taizhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0966-8552","authenticated-orcid":false,"given":"Chaowei","family":"Fu","sequence":"additional","affiliation":[{"name":"School of Public Health; NHC Key Laboratory of Health Technology Assessment; Key Laboratory of Public Health Safety, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"239","published-online":{"date-parts":[[2026,8,13]]},"reference":[{"key":"2026081304101614000_16.8.e124032.1","unstructured":"International diabetes federation . 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