<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>58</volume><submitter>Guan H</submitter><pubmed_abstract>&lt;h4>Objective&lt;/h4>To examine the association between weekday sleep duration and visual health among adolescents in low-resource rural settings, and to explore potential behavioral mechanisms.&lt;h4>Methods&lt;/h4>We used cross-sectional data from 36,139 rural primary and junior high school students in northwestern China (2012, 2019). Visual acuity was assessed via standardized LogMAR tests. To address potential endogeneity in self-reported sleep, we applied two-stage least squares regression with sunset time as an instrumental variable.&lt;h4>Results&lt;/h4>Students averaged 8.65 weekday sleep hours, and 58.3 % slept fewer than 9 h-below age-specific recommendations. Instrumental variable estimates indicated that each additional weekday sleep hour reduced the LogMAR score by 0.070 (&lt;i>p&lt;/i> &lt; 0.05), i</pubmed_abstract><journal>Preventive medicine reports</journal><pagination>103217</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12423698</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Sleep duration and adolescent vision outcomes: evidence from rural China.</pubmed_title><pmcid>PMC12423698</pmcid><pubmed_authors>Ding Y</pubmed_authors><pubmed_authors>Guan H</pubmed_authors><pubmed_authors>Chen X</pubmed_authors><pubmed_authors>Zhang L</pubmed_authors><pubmed_authors>Liu W</pubmed_authors></additional><is_claimable>false</is_claimable><name>Sleep duration and adolescent vision outcomes: evidence from rural China.</name><description>&lt;h4>Objective&lt;/h4>To examine the association between weekday sleep duration and visual health among adolescents in low-resource rural settings, and to explore potential behavioral mechanisms.&lt;h4>Methods&lt;/h4>We used cross-sectional data from 36,139 rural primary and junior high school students in northwestern China (2012, 2019). Visual acuity was assessed via standardized LogMAR tests. To address potential endogeneity in self-reported sleep, we applied two-stage least squares regression with sunset time as an instrumental variable.&lt;h4>Results&lt;/h4>Students averaged 8.65 weekday sleep hours, and 58.3 % slept fewer than 9 h-below age-specific recommendations. Instrumental variable estimates indicated that each additional weekday sleep hour reduced the LogMAR score by 0.070 (&lt;i>p&lt;/i> &lt; 0.05), i</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Oct</publication><modification>2026-06-03T02:28:38.292Z</modification><creation>2026-04-23T03:09:59.295Z</creation></dates><accession>S-EPMC12423698</accession><cross_references><pubmed>40950940</pubmed><doi>10.1016/j.pmedr.2025.103217</doi></cross_references></HashMap>