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Prevalence and predictors of sleep deprivation and poor sleep quality and their associated perinatal outcomes during the third trimester of pregnancy

OBJECTIVES: Maternal sleep deprivation not only affects the pregnant mother but also has profound effects on the well-being of the foetus. This study aims to assess the prevalence and predictors of excessive daytime sleepiness (EDS) and poor sleep quality (PSQ). METHODS: This was a cross-sectional s...

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Autores principales: Ghante, Abhishek, Raj, Jeffrey P., Krishna, Balamurali, Thomas, Annamma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taibah University 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178615/
https://www.ncbi.nlm.nih.gov/pubmed/34140862
http://dx.doi.org/10.1016/j.jtumed.2020.11.008
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author Ghante, Abhishek
Raj, Jeffrey P.
Krishna, Balamurali
Thomas, Annamma
author_facet Ghante, Abhishek
Raj, Jeffrey P.
Krishna, Balamurali
Thomas, Annamma
author_sort Ghante, Abhishek
collection PubMed
description OBJECTIVES: Maternal sleep deprivation not only affects the pregnant mother but also has profound effects on the well-being of the foetus. This study aims to assess the prevalence and predictors of excessive daytime sleepiness (EDS) and poor sleep quality (PSQ). METHODS: This was a cross-sectional study conducted among in-patient post-natal women of a tertiary care teaching hospital. A pretested semi-structured standardised questionnaire was administered. EDS was assessed using the Epworth sleepiness scale and PSQ was measured using the Pittsburgh Sleep Quality Index. RESULTS: A total of 225 participants were enrolled. The prevalence of EDS was 29.3% (95% confidence interval [CI] = 23.5, 35.8) and the prevalence of PSQ was 72.9% (95% CI = 66.6, 78.6). The factors (adjusted odds ratio; 95% CI; p-value) that were significantly associated with EDS were age (1.082; 1.019, 3.102; 0.042), being overweight (1.248; 1.012, 3.834; 0.041), low haemoglobin (1.246; 1.007, 4.572; 0.043), and gestational diabetes mellitus (GDM) (1.267; 1.001, 7.239; 0.049). On the other hand, the factors associated with PSQ were young age (1.092; 1.035, 3.763; 0.028), being overweight (1.602; 1.029, 2.995; 0.035), low haemoglobin (1.328; 1.004, 4.963; 0.047), and GDM (1.659; 1.284, 4.112; 0.016). No significant associations were found between perinatal outcomes and EDS or PSQ. Additionally, poor sleep practices were observed in our study participants. CONCLUSION: In this study, EDS and PSQ were significantly prevalent among participants, and their major predictors were age, haemoglobin, being overweight, and GDM.
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spelling pubmed-81786152021-06-16 Prevalence and predictors of sleep deprivation and poor sleep quality and their associated perinatal outcomes during the third trimester of pregnancy Ghante, Abhishek Raj, Jeffrey P. Krishna, Balamurali Thomas, Annamma J Taibah Univ Med Sci Original Article OBJECTIVES: Maternal sleep deprivation not only affects the pregnant mother but also has profound effects on the well-being of the foetus. This study aims to assess the prevalence and predictors of excessive daytime sleepiness (EDS) and poor sleep quality (PSQ). METHODS: This was a cross-sectional study conducted among in-patient post-natal women of a tertiary care teaching hospital. A pretested semi-structured standardised questionnaire was administered. EDS was assessed using the Epworth sleepiness scale and PSQ was measured using the Pittsburgh Sleep Quality Index. RESULTS: A total of 225 participants were enrolled. The prevalence of EDS was 29.3% (95% confidence interval [CI] = 23.5, 35.8) and the prevalence of PSQ was 72.9% (95% CI = 66.6, 78.6). The factors (adjusted odds ratio; 95% CI; p-value) that were significantly associated with EDS were age (1.082; 1.019, 3.102; 0.042), being overweight (1.248; 1.012, 3.834; 0.041), low haemoglobin (1.246; 1.007, 4.572; 0.043), and gestational diabetes mellitus (GDM) (1.267; 1.001, 7.239; 0.049). On the other hand, the factors associated with PSQ were young age (1.092; 1.035, 3.763; 0.028), being overweight (1.602; 1.029, 2.995; 0.035), low haemoglobin (1.328; 1.004, 4.963; 0.047), and GDM (1.659; 1.284, 4.112; 0.016). No significant associations were found between perinatal outcomes and EDS or PSQ. Additionally, poor sleep practices were observed in our study participants. CONCLUSION: In this study, EDS and PSQ were significantly prevalent among participants, and their major predictors were age, haemoglobin, being overweight, and GDM. Taibah University 2020-12-17 /pmc/articles/PMC8178615/ /pubmed/34140862 http://dx.doi.org/10.1016/j.jtumed.2020.11.008 Text en © 2020 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Ghante, Abhishek
Raj, Jeffrey P.
Krishna, Balamurali
Thomas, Annamma
Prevalence and predictors of sleep deprivation and poor sleep quality and their associated perinatal outcomes during the third trimester of pregnancy
title Prevalence and predictors of sleep deprivation and poor sleep quality and their associated perinatal outcomes during the third trimester of pregnancy
title_full Prevalence and predictors of sleep deprivation and poor sleep quality and their associated perinatal outcomes during the third trimester of pregnancy
title_fullStr Prevalence and predictors of sleep deprivation and poor sleep quality and their associated perinatal outcomes during the third trimester of pregnancy
title_full_unstemmed Prevalence and predictors of sleep deprivation and poor sleep quality and their associated perinatal outcomes during the third trimester of pregnancy
title_short Prevalence and predictors of sleep deprivation and poor sleep quality and their associated perinatal outcomes during the third trimester of pregnancy
title_sort prevalence and predictors of sleep deprivation and poor sleep quality and their associated perinatal outcomes during the third trimester of pregnancy
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178615/
https://www.ncbi.nlm.nih.gov/pubmed/34140862
http://dx.doi.org/10.1016/j.jtumed.2020.11.008
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