Mihyeon Kim, Danielle Saade, Marie-Noëlle Dufourg, Marie-Aline Charles, Sabine Plancoulaine
{"title":"1岁至5.5岁的纵向睡眠多轨迹及其早期相关性:Étude纵向法国儿童出生队列研究的结果","authors":"Mihyeon Kim, Danielle Saade, Marie-Noëlle Dufourg, Marie-Aline Charles, Sabine Plancoulaine","doi":"10.1093/sleep/zsad236","DOIUrl":null,"url":null,"abstract":"<p><strong>Study objectives: </strong>To identify sleep multi-trajectories in children from age 1 to 5.5 years and their early correlates.</p><p><strong>Methods: </strong>We collected early family, maternal, and child characteristics, including children's nighttime sleep duration (NSD) and daytime sleep duration (DSD), night waking (NW), and sleep-onset difficulties (SOD), by parental phone interviews at age 2 months and 1-, 2-, 3.5-, and 5.5 years. Group-based multi-trajectory modeling identified sleep multi-trajectory groups. Multinomial logistic regression assessed associations with early factors.</p><p><strong>Results: </strong>We identified five distinct sleep multi-trajectory groups for NSD, DSD, NW, and SOD in 9273 included children. The \"Good sleepers\" (31.6%) and \"Long sleepers\" (31.0%) groups had low NW and SOD prevalence and shorter NSD but longer DSD in \"Good sleepers\" than in \"Long sleepers.\" The \"Good sleepers but few SOD\" group (10.3%) had long NSD and DSD but a SOD peak at age 3.5 years; the \"Improving NW and SOD\" group (9.6%) showed short but rapidly increasing NSD to a plateau and high but decreasing NW and SOD; the \"Persistent NW and SOD\" group (17.5%) had persistent high NW and SOD. Maternal depression during pregnancy and sleep habits at age 1 (e.g. parental presence or feeding to fall asleep, sleeping at least part of the night away from own bed) were common risk factors associated with the most disordered sleep multi-trajectory groups.</p><p><strong>Conclusions: </strong>We identified distinct sleep multi-trajectory groups and early life-associated factors in preschoolers. Most of the factors associated with the most sleep-disordered multi-trajectory groups are likely modifiable and provide clues for early prevention interventions.</p>","PeriodicalId":49514,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.3000,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Longitudinal sleep multi-trajectories from age 1 to 5.5 years and their early correlates: results from the Étude Longitudinale Française depuis l'Enfance birth cohort study.\",\"authors\":\"Mihyeon Kim, Danielle Saade, Marie-Noëlle Dufourg, Marie-Aline Charles, Sabine Plancoulaine\",\"doi\":\"10.1093/sleep/zsad236\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Study objectives: </strong>To identify sleep multi-trajectories in children from age 1 to 5.5 years and their early correlates.</p><p><strong>Methods: </strong>We collected early family, maternal, and child characteristics, including children's nighttime sleep duration (NSD) and daytime sleep duration (DSD), night waking (NW), and sleep-onset difficulties (SOD), by parental phone interviews at age 2 months and 1-, 2-, 3.5-, and 5.5 years. Group-based multi-trajectory modeling identified sleep multi-trajectory groups. Multinomial logistic regression assessed associations with early factors.</p><p><strong>Results: </strong>We identified five distinct sleep multi-trajectory groups for NSD, DSD, NW, and SOD in 9273 included children. The \\\"Good sleepers\\\" (31.6%) and \\\"Long sleepers\\\" (31.0%) groups had low NW and SOD prevalence and shorter NSD but longer DSD in \\\"Good sleepers\\\" than in \\\"Long sleepers.\\\" The \\\"Good sleepers but few SOD\\\" group (10.3%) had long NSD and DSD but a SOD peak at age 3.5 years; the \\\"Improving NW and SOD\\\" group (9.6%) showed short but rapidly increasing NSD to a plateau and high but decreasing NW and SOD; the \\\"Persistent NW and SOD\\\" group (17.5%) had persistent high NW and SOD. Maternal depression during pregnancy and sleep habits at age 1 (e.g. parental presence or feeding to fall asleep, sleeping at least part of the night away from own bed) were common risk factors associated with the most disordered sleep multi-trajectory groups.</p><p><strong>Conclusions: </strong>We identified distinct sleep multi-trajectory groups and early life-associated factors in preschoolers. Most of the factors associated with the most sleep-disordered multi-trajectory groups are likely modifiable and provide clues for early prevention interventions.</p>\",\"PeriodicalId\":49514,\"journal\":{\"name\":\"Sleep\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2023-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sleep\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/sleep/zsad236\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sleep","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/sleep/zsad236","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Longitudinal sleep multi-trajectories from age 1 to 5.5 years and their early correlates: results from the Étude Longitudinale Française depuis l'Enfance birth cohort study.
Study objectives: To identify sleep multi-trajectories in children from age 1 to 5.5 years and their early correlates.
Methods: We collected early family, maternal, and child characteristics, including children's nighttime sleep duration (NSD) and daytime sleep duration (DSD), night waking (NW), and sleep-onset difficulties (SOD), by parental phone interviews at age 2 months and 1-, 2-, 3.5-, and 5.5 years. Group-based multi-trajectory modeling identified sleep multi-trajectory groups. Multinomial logistic regression assessed associations with early factors.
Results: We identified five distinct sleep multi-trajectory groups for NSD, DSD, NW, and SOD in 9273 included children. The "Good sleepers" (31.6%) and "Long sleepers" (31.0%) groups had low NW and SOD prevalence and shorter NSD but longer DSD in "Good sleepers" than in "Long sleepers." The "Good sleepers but few SOD" group (10.3%) had long NSD and DSD but a SOD peak at age 3.5 years; the "Improving NW and SOD" group (9.6%) showed short but rapidly increasing NSD to a plateau and high but decreasing NW and SOD; the "Persistent NW and SOD" group (17.5%) had persistent high NW and SOD. Maternal depression during pregnancy and sleep habits at age 1 (e.g. parental presence or feeding to fall asleep, sleeping at least part of the night away from own bed) were common risk factors associated with the most disordered sleep multi-trajectory groups.
Conclusions: We identified distinct sleep multi-trajectory groups and early life-associated factors in preschoolers. Most of the factors associated with the most sleep-disordered multi-trajectory groups are likely modifiable and provide clues for early prevention interventions.
期刊介绍:
SLEEP® publishes findings from studies conducted at any level of analysis, including:
Genes
Molecules
Cells
Physiology
Neural systems and circuits
Behavior and cognition
Self-report
SLEEP® publishes articles that use a wide variety of scientific approaches and address a broad range of topics. These may include, but are not limited to:
Basic and neuroscience studies of sleep and circadian mechanisms
In vitro and animal models of sleep, circadian rhythms, and human disorders
Pre-clinical human investigations, including the measurement and manipulation of sleep and circadian rhythms
Studies in clinical or population samples. These may address factors influencing sleep and circadian rhythms (e.g., development and aging, and social and environmental influences) and relationships between sleep, circadian rhythms, health, and disease
Clinical trials, epidemiology studies, implementation, and dissemination research.