{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T06:45:35Z","timestamp":1770705935562,"version":"3.49.0"},"reference-count":98,"publisher":"American Academy of Pediatrics (AAP)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7,1]]},"abstract":"<jats:sec>\n                  <jats:title\/>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>BACKGROUND AND OBJECTIVES:<\/jats:title>\n                  <jats:p>Shorter sleep duration is associated with childhood obesity. Few studies measure sleep quantity and quality objectively or examine cardiometabolic biomarkers other than obesity.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>METHODS:<\/jats:title>\n                  <jats:p>This cross-sectional study of 829 adolescents derived sleep duration, efficiency and moderate-to-vigorous physical activity from &amp;gt;5 days of wrist actigraphy recording for &amp;gt;10 hours\/day. The main outcome was a metabolic risk score (mean of 5 sex-specific z-scores for waist circumference, systolic blood pressure, high-density lipoprotein cholesterol scaled inversely, and log-transformed triglycerides and homeostatic model assessment of insulin resistance), for which higher scores indicate greater metabolic risk. Secondary outcomes included score components and dual-energy radiograph absorptiometry fat mass. We measured socioeconomic status, race and\/or ethnicity, pubertal status, and obesity-related behaviors (television-viewing and fast food and sugar-sweetened beverage consumption) using questionnaires.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>RESULTS:<\/jats:title>\n                  <jats:p>The sample was 51.5% girls; mean (SD) age 13.2 (0.9) years, median (interquartile range) sleep duration was 441.1 (54.8) minutes per day and sleep efficiency was 84.0% (6.3). Longer sleep duration was associated with lower metabolic risk scores (\u22120.11 points; 95% CI: \u22120.19 to \u22120.02, per interquartile range). Associations with sleep efficiency were similar and persisted after adjustment for BMI z score and physical activity, television-viewing, and diet quality. Longer sleep duration and greater sleep efficiency were also favorably associated with waist circumference, systolic blood pressure, high-density lipoprotein cholesterol, and fat mass.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>CONCLUSIONS:<\/jats:title>\n                  <jats:p>Longer sleep duration and higher sleep efficiency were associated with a more favorable cardiometabolic profile in early adolescence, independent of other obesity-related behaviors. These results support the need to assess the role of sleep quantity and quality interventions as strategies for improving cardiovascular risk profiles of adolescents.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1542\/peds.2017-4085","type":"journal-article","created":{"date-parts":[[2018,6,15]],"date-time":"2018-06-15T07:25:16Z","timestamp":1529047516000},"source":"Crossref","is-referenced-by-count":90,"title":["Objective Sleep Characteristics and Cardiometabolic Health in Young Adolescents"],"prefix":"10.1542","volume":"142","author":[{"given":"Elizabeth M.","family":"Cespedes Feliciano","sequence":"first","affiliation":[{"name":"Division of Research, Kaiser Permanente Northern California, Oakland, California;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mirja","family":"Quante","sequence":"additional","affiliation":[{"name":"Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women\u2019s Hospital and Beth Israel Deaconess Medical Center,"},{"name":"Department of Neonatology, University of T\u00fcbingen, T\u00fcbingen, Germany; and"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sheryl L.","family":"Rifas-Shiman","sequence":"additional","affiliation":[{"name":"Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, and"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Susan","family":"Redline","sequence":"additional","affiliation":[{"name":"Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women\u2019s Hospital and Beth Israel Deaconess Medical Center,"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emily","family":"Oken","sequence":"additional","affiliation":[{"name":"Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, and"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elsie M.","family":"Taveras","sequence":"additional","affiliation":[{"name":"Department of Nutrition, Harvard T. 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