Parasomnias manifest different phenotypes in age- and sex-groups. An internet-based video research

Author:

Corrêa Vivian M.1,Vitrai József,Szűcs Anna1

Affiliation:

1. Semmelweis University

Abstract

Abstract Hypothesis There are typical patterns - phenotypes - of sleep behaviors characterizing age-, and sex-groups of parasomnia patients. Materials and methods We analyzed sleep-related behaviors likely representing parasomnias, looking for phenotypes in different groups. We searched public internet databases using the keywords “sleepwalking”, “sleep eating” “sleep sex”, “sleep talking”, “aggression in sleep” and somnambulism in six languages. Poor-quality vide-records and those showing apparently faked sleep behaviors were excluded. We classified those persons shown on the videos into estimated sex- and age (children, adults, elderly) - groups; scored the activity types by a self-made scoring scale; and applied binary logistic regression for analyzing the association between sleep behaviors versus sex- and age- groups by STATA package providing 95% confidence interval and the probability of statistical significance.Results Twohundred-twentyfour videos (102 women) were analyzed. The odds of sleepwalking and related dangerous behaviors were lower in the elderly than in adults (P<0.025). Females performed complex risky behaviors during sleepwalking more often than males (P<0.012). Elderly people presented emotional behaviors less frequently than adults (P<0.004), and females showed them twice often as males. Adults sleep talked full sentences more often than children and elderly people (P<0.001). Elderly males had 40-fold odds compared to adults and children, to perform aggressive movements, and 70-fold odds of complex movements in the bed, compared to adults.Conclusion Elderly people rarely sleepwalk in our research. Elderly males perform intense and violent movements in bed, unlike other groups. The existence of parasomnia phenotypes allows prevention of injury types and raises theoretical questions on the mechanism including social and brain-network features of parasomnias.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3