Phenotypic, Genetic and Environmental Architecture of the Components of Sleep Quality

The genetic and environmental underpinnings of sleep quality have been widely investigated. However, less is known about the etiology of the different sleep quality components and their associations. Subjective sleep quality has been studied most commonly using the Pittsburgh Sleep Quality Index (PS...

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Autores principales: Madrid-Valero, Juan J., Sánchez-Romera, Juan F., Martínez-Selva, Jose M., Ordoñana, Juan R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463263/
https://www.ncbi.nlm.nih.gov/pubmed/36008741
http://dx.doi.org/10.1007/s10519-022-10111-0
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author Madrid-Valero, Juan J.
Sánchez-Romera, Juan F.
Martínez-Selva, Jose M.
Ordoñana, Juan R.
author_facet Madrid-Valero, Juan J.
Sánchez-Romera, Juan F.
Martínez-Selva, Jose M.
Ordoñana, Juan R.
author_sort Madrid-Valero, Juan J.
collection PubMed
description The genetic and environmental underpinnings of sleep quality have been widely investigated. However, less is known about the etiology of the different sleep quality components and their associations. Subjective sleep quality has been studied most commonly using the Pittsburgh Sleep Quality Index (PSQI). Therefore, this work aimed to study the structure of sleep quality dimensions in a population-based twin sample by examining the etiology of the associations among the PSQI components themselves and between them. The sample comprised 2129 participants from the Murcia Twin Registry. In order to study the phenotypic, genetic and environmental structure of the PSQI we used three alternative multivariate twin models including all seven sub-scales of the PSQI (subjective sleep quality, latency, duration, efficiency, disturbances, use of sleeping medication and daytime dysfunction): a multivariate model (with seven separate correlated factors), a common pathway model and an independent pathway model. The multivariate correlated factors model showed the best fit to the data. All twin models indicated significant genetic overlap among most of the PSQI components, except daytime dysfunction and use of sleep medication. Bivariate heritability explained between 25 and 50% of the covariance for most associations between dimensions. Furthermore, the common pathway model showed that around one third of the variance (0.32; CI 95% 0.18.0.43) of a latent factor common to all questionnaire dimensions is explained by genetic factors. Genetic influences on a latent factor common to all questionnaire dimensions produced the same heritability estimates as the PSQI global score. However, sleep quality dimensions showed considerable specificity regarding its genetic-environmental structure. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10519-022-10111-0.
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spelling pubmed-94632632022-09-11 Phenotypic, Genetic and Environmental Architecture of the Components of Sleep Quality Madrid-Valero, Juan J. Sánchez-Romera, Juan F. Martínez-Selva, Jose M. Ordoñana, Juan R. Behav Genet Original Research The genetic and environmental underpinnings of sleep quality have been widely investigated. However, less is known about the etiology of the different sleep quality components and their associations. Subjective sleep quality has been studied most commonly using the Pittsburgh Sleep Quality Index (PSQI). Therefore, this work aimed to study the structure of sleep quality dimensions in a population-based twin sample by examining the etiology of the associations among the PSQI components themselves and between them. The sample comprised 2129 participants from the Murcia Twin Registry. In order to study the phenotypic, genetic and environmental structure of the PSQI we used three alternative multivariate twin models including all seven sub-scales of the PSQI (subjective sleep quality, latency, duration, efficiency, disturbances, use of sleeping medication and daytime dysfunction): a multivariate model (with seven separate correlated factors), a common pathway model and an independent pathway model. The multivariate correlated factors model showed the best fit to the data. All twin models indicated significant genetic overlap among most of the PSQI components, except daytime dysfunction and use of sleep medication. Bivariate heritability explained between 25 and 50% of the covariance for most associations between dimensions. Furthermore, the common pathway model showed that around one third of the variance (0.32; CI 95% 0.18.0.43) of a latent factor common to all questionnaire dimensions is explained by genetic factors. Genetic influences on a latent factor common to all questionnaire dimensions produced the same heritability estimates as the PSQI global score. However, sleep quality dimensions showed considerable specificity regarding its genetic-environmental structure. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10519-022-10111-0. Springer US 2022-08-25 2022 /pmc/articles/PMC9463263/ /pubmed/36008741 http://dx.doi.org/10.1007/s10519-022-10111-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Research
Madrid-Valero, Juan J.
Sánchez-Romera, Juan F.
Martínez-Selva, Jose M.
Ordoñana, Juan R.
Phenotypic, Genetic and Environmental Architecture of the Components of Sleep Quality
title Phenotypic, Genetic and Environmental Architecture of the Components of Sleep Quality
title_full Phenotypic, Genetic and Environmental Architecture of the Components of Sleep Quality
title_fullStr Phenotypic, Genetic and Environmental Architecture of the Components of Sleep Quality
title_full_unstemmed Phenotypic, Genetic and Environmental Architecture of the Components of Sleep Quality
title_short Phenotypic, Genetic and Environmental Architecture of the Components of Sleep Quality
title_sort phenotypic, genetic and environmental architecture of the components of sleep quality
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463263/
https://www.ncbi.nlm.nih.gov/pubmed/36008741
http://dx.doi.org/10.1007/s10519-022-10111-0
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