{"title":"目的:青少年第二天睡眠质量评价的睡眠质量指标","authors":"C Tang, K Meredith-Jones, L Signal, B Galland","doi":"10.1093/sleepadvances/zpad035.063","DOIUrl":null,"url":null,"abstract":"Abstract Introduction Good sleep quality is critical for good sleep health, but how sleep quality is defined remains uncertain; most defining it based solely on subjective or objective measures, and more recently, a combination of the two. PSG-derived sleep efficiency and WASO are linked to subjective sleep quality in healthy adults, but whether this is the same in adolescents (an age group notorious for not getting enough sleep), remains unknown. Aims To investigate which objective measures of sleep correlate with next-day ratings of sleep quality (primary outcome), sleep sufficiency, morning and daytime sleepiness, mood and concentration. Methods Seventy-one 16-17 y-olds (50% female) without anxiety/depression symptoms, completed a week of actigraphy and daily ratings of the subjective elements described above (469 days analysed). Statistical analyses used generalised estimating equation models. Results In unadjusted models, sleep quality showed significant within- and between-subject relationships with variables of sleep timing, amount, efficiency and variability. However after adjustment, total sleep time (TST) was the only metric that remained significant; for every 1 h less TST/night, teens were 1.56 (95%CI: 1.29, 1.88) times more likely to rate their sleep quality as poor rather than good. TST also correlated with daily mood ratings, and awakenings with morning sleepiness. No other significant relationships were found. Discussion The key sleep metric contributing to perceptions of sleep quality in adolescents was in fact one related to sleep quantity. Surprisingly, none of the sleep quality metrics used in sleep quality guidelines, linked to subjective ratings of sleep quality in this age group.","PeriodicalId":21861,"journal":{"name":"SLEEP Advances","volume":"131 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"O063 Objective Sleep Quality Metrics underlying next-day Sleep Quality Ratings in Adolescents\",\"authors\":\"C Tang, K Meredith-Jones, L Signal, B Galland\",\"doi\":\"10.1093/sleepadvances/zpad035.063\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Introduction Good sleep quality is critical for good sleep health, but how sleep quality is defined remains uncertain; most defining it based solely on subjective or objective measures, and more recently, a combination of the two. PSG-derived sleep efficiency and WASO are linked to subjective sleep quality in healthy adults, but whether this is the same in adolescents (an age group notorious for not getting enough sleep), remains unknown. Aims To investigate which objective measures of sleep correlate with next-day ratings of sleep quality (primary outcome), sleep sufficiency, morning and daytime sleepiness, mood and concentration. Methods Seventy-one 16-17 y-olds (50% female) without anxiety/depression symptoms, completed a week of actigraphy and daily ratings of the subjective elements described above (469 days analysed). Statistical analyses used generalised estimating equation models. Results In unadjusted models, sleep quality showed significant within- and between-subject relationships with variables of sleep timing, amount, efficiency and variability. However after adjustment, total sleep time (TST) was the only metric that remained significant; for every 1 h less TST/night, teens were 1.56 (95%CI: 1.29, 1.88) times more likely to rate their sleep quality as poor rather than good. TST also correlated with daily mood ratings, and awakenings with morning sleepiness. No other significant relationships were found. Discussion The key sleep metric contributing to perceptions of sleep quality in adolescents was in fact one related to sleep quantity. Surprisingly, none of the sleep quality metrics used in sleep quality guidelines, linked to subjective ratings of sleep quality in this age group.\",\"PeriodicalId\":21861,\"journal\":{\"name\":\"SLEEP Advances\",\"volume\":\"131 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SLEEP Advances\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/sleepadvances/zpad035.063\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SLEEP Advances","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/sleepadvances/zpad035.063","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Abstract Introduction Good sleep quality is critical for good sleep health, but how sleep quality is defined remains uncertain; most defining it based solely on subjective or objective measures, and more recently, a combination of the two. PSG-derived sleep efficiency and WASO are linked to subjective sleep quality in healthy adults, but whether this is the same in adolescents (an age group notorious for not getting enough sleep), remains unknown. Aims To investigate which objective measures of sleep correlate with next-day ratings of sleep quality (primary outcome), sleep sufficiency, morning and daytime sleepiness, mood and concentration. Methods Seventy-one 16-17 y-olds (50% female) without anxiety/depression symptoms, completed a week of actigraphy and daily ratings of the subjective elements described above (469 days analysed). Statistical analyses used generalised estimating equation models. Results In unadjusted models, sleep quality showed significant within- and between-subject relationships with variables of sleep timing, amount, efficiency and variability. However after adjustment, total sleep time (TST) was the only metric that remained significant; for every 1 h less TST/night, teens were 1.56 (95%CI: 1.29, 1.88) times more likely to rate their sleep quality as poor rather than good. TST also correlated with daily mood ratings, and awakenings with morning sleepiness. No other significant relationships were found. Discussion The key sleep metric contributing to perceptions of sleep quality in adolescents was in fact one related to sleep quantity. Surprisingly, none of the sleep quality metrics used in sleep quality guidelines, linked to subjective ratings of sleep quality in this age group.