Parents’ Sleep Multi-Trajectory Modelling from 3 to 36 Months Postpartum in the SEPAGES Cohort

IF 3 2区 医学 Q2 CLINICAL NEUROLOGY Nature and Science of Sleep Pub Date : 2024-03-06 DOI:10.2147/nss.s430024
Mihyeon Kim, Sarah Lyon-Caen, Sam Bayat, Claire Philippat, Sabine Plancoulaine
{"title":"Parents’ Sleep Multi-Trajectory Modelling from 3 to 36 Months Postpartum in the SEPAGES Cohort","authors":"Mihyeon Kim, Sarah Lyon-Caen, Sam Bayat, Claire Philippat, Sabine Plancoulaine","doi":"10.2147/nss.s430024","DOIUrl":null,"url":null,"abstract":"<strong>Objective:</strong> We investigated maternal and paternal sleep evolution from 3 to 36 months postpartum, their interrelations and predictors in the SEPAGES cohort.<br/><strong>Methods:</strong> Sleep information (night sleep duration [NSD], weekend daytime sleep duration [DSD] and subjective sleep loss [SSL]) was collected by self-administered questionnaires at 3, 18, 24 and 36 months postpartum in the SEPAGES French cohort that included 484 mothers and 410 fathers. Group-based multi-trajectory modelling was used to identify maternal, paternal and couple sleep multi-trajectory groups among 188 couples reporting sleep data for at least 2 time points. Multinomial logistic regression was used to assess associations between parental sleep multi-trajectories and early characteristics such as sociodemographic, chronotypes, child sex, birth seasonality or breastfeeding duration.<br/><strong>Results:</strong> We identified three maternal (M1-M3), paternal (F1-F3) and couple (C1-C3) sleep multi-trajectory groups with similar characteristics: a group with short NSD and high SSL prevalence (M1, F2, C2), a group with long NSD but medium SSL prevalence (M2, F3, C3) and a group with long NSD and low SSL prevalence (M3, F1, C1). Mothers with the shortest NSD (M1) were less likely to have a partner with long NSD (F2). As compared with long NSD and low SSL prevalence (C1), couples with short NSD and high SSL prevalence (C2) were less likely to have had a first child born in the autumn and fathers in C2 had a later chronotype.<br/><strong>Conclusion:</strong> We identified distinct sleep multi-trajectory groups for mothers, fathers and couples from 3- to 36-month postpartum. Sleep patterns within couples were homogeneous.<br/><br/><strong>Keywords:</strong> multi group-based-trajectory modelling, parental sleep, sleep epidemiology, sleep interrelation<br/>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature and Science of Sleep","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/nss.s430024","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: We investigated maternal and paternal sleep evolution from 3 to 36 months postpartum, their interrelations and predictors in the SEPAGES cohort.
Methods: Sleep information (night sleep duration [NSD], weekend daytime sleep duration [DSD] and subjective sleep loss [SSL]) was collected by self-administered questionnaires at 3, 18, 24 and 36 months postpartum in the SEPAGES French cohort that included 484 mothers and 410 fathers. Group-based multi-trajectory modelling was used to identify maternal, paternal and couple sleep multi-trajectory groups among 188 couples reporting sleep data for at least 2 time points. Multinomial logistic regression was used to assess associations between parental sleep multi-trajectories and early characteristics such as sociodemographic, chronotypes, child sex, birth seasonality or breastfeeding duration.
Results: We identified three maternal (M1-M3), paternal (F1-F3) and couple (C1-C3) sleep multi-trajectory groups with similar characteristics: a group with short NSD and high SSL prevalence (M1, F2, C2), a group with long NSD but medium SSL prevalence (M2, F3, C3) and a group with long NSD and low SSL prevalence (M3, F1, C1). Mothers with the shortest NSD (M1) were less likely to have a partner with long NSD (F2). As compared with long NSD and low SSL prevalence (C1), couples with short NSD and high SSL prevalence (C2) were less likely to have had a first child born in the autumn and fathers in C2 had a later chronotype.
Conclusion: We identified distinct sleep multi-trajectory groups for mothers, fathers and couples from 3- to 36-month postpartum. Sleep patterns within couples were homogeneous.

Keywords: multi group-based-trajectory modelling, parental sleep, sleep epidemiology, sleep interrelation
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
SEPAGES 群体中产后 3 至 36 个月父母睡眠多轨迹模型
目的我们在 SEPAGES 群体中调查了产后 3 至 36 个月期间母亲和父亲的睡眠变化情况、它们之间的相互关系以及预测因素:在 SEPAGES 法国队列(包括 484 名母亲和 410 名父亲)中,通过产后 3、18、24 和 36 个月的自填问卷收集睡眠信息(夜间睡眠时间 [NSD]、周末白天睡眠时间 [DSD] 和主观睡眠损失 [SSL])。在报告了至少两个时间点睡眠数据的 188 对夫妇中,采用了基于群体的多轨迹模型来识别母亲、父亲和夫妇的睡眠多轨迹群体。多项式逻辑回归用于评估父母睡眠多轨迹与早期特征(如社会人口学、时间类型、儿童性别、出生季节性或母乳喂养持续时间)之间的关联:我们发现了三个具有相似特征的母亲(M1-M3)、父亲(F1-F3)和夫妇(C1-C3)睡眠多重轨迹组:NSD 短且 SSL 发生率高的一组(M1、F2、C2)、NSD 长但 SSL 发生率中等的一组(M2、F3、C3)以及 NSD 长且 SSL 发生率低的一组(M3、F1、C1)。NSD 最短的母亲(M1)的伴侣 NSD 较长的可能性较低(F2)。与 NSD 长、SSL 发生率低的夫妇(C1)相比,NSD 短、SSL 发生率高的夫妇(C2)的第一个孩子在秋季出生的可能性较小,C2 中的父亲具有较晚的时间型:我们确定了产后 3 至 36 个月期间母亲、父亲和夫妇的不同睡眠多轨迹组别。关键词:基于多组的轨迹模型、父母睡眠、睡眠流行病学、睡眠相互关系
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Nature and Science of Sleep
Nature and Science of Sleep Neuroscience-Behavioral Neuroscience
CiteScore
5.70
自引率
5.90%
发文量
245
审稿时长
16 weeks
期刊介绍: Nature and Science of Sleep is an international, peer-reviewed, open access journal covering all aspects of sleep science and sleep medicine, including the neurophysiology and functions of sleep, the genetics of sleep, sleep and society, biological rhythms, dreaming, sleep disorders and therapy, and strategies to optimize healthy sleep. Specific topics covered in the journal include: The functions of sleep in humans and other animals Physiological and neurophysiological changes with sleep The genetics of sleep and sleep differences The neurotransmitters, receptors and pathways involved in controlling both sleep and wakefulness Behavioral and pharmacological interventions aimed at improving sleep, and improving wakefulness Sleep changes with development and with age Sleep and reproduction (e.g., changes across the menstrual cycle, with pregnancy and menopause) The science and nature of dreams Sleep disorders Impact of sleep and sleep disorders on health, daytime function and quality of life Sleep problems secondary to clinical disorders Interaction of society with sleep (e.g., consequences of shift work, occupational health, public health) The microbiome and sleep Chronotherapy Impact of circadian rhythms on sleep, physiology, cognition and health Mechanisms controlling circadian rhythms, centrally and peripherally Impact of circadian rhythm disruptions (including night shift work, jet lag and social jet lag) on sleep, physiology, cognition and health Behavioral and pharmacological interventions aimed at reducing adverse effects of circadian-related sleep disruption Assessment of technologies and biomarkers for measuring sleep and/or circadian rhythms Epigenetic markers of sleep or circadian disruption.
期刊最新文献
Analysis of the Improvement Sequence in Insomnia Symptoms and Factors Influencing the Treatment Outcomes of Smartphone-Delivered CBT in Patients with Insomnia Disorder Association Between Sleep Characteristics and Likelihood of Prodromal Parkinson’s Disease: A Cross-Sectional Analysis in the HABIT Study Sex Differences in the Associations Between Chronic Diseases and Insomnia Symptoms Among Older Adults in India Modifications in the Composition of the Gut Microbiota in Rats Induced by Chronic Sleep Deprivation: Potential Relation to Mental Disorders. The Relationship Between Big Five Personality Traits and Sleep Patterns: A Systematic Review.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1