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Muscle quality index is associated with trouble sleeping: a cross-sectional population based study
BACKGROUND: Trouble sleeping is one of the major health issues nowadays. Current evidence on the correlation between muscle quality and trouble sleeping is limited. METHODS: A cross-sectional study design was applied and participants aged from 18 to 60 years in the National Health and Nutrition Exam...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012435/ https://www.ncbi.nlm.nih.gov/pubmed/36918831 http://dx.doi.org/10.1186/s12889-023-15411-6 |
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author | You, Yanwei Chen, Yuquan Zhang, Qi Yan, Ning Ning, Yi Cao, Qiang |
author_facet | You, Yanwei Chen, Yuquan Zhang, Qi Yan, Ning Ning, Yi Cao, Qiang |
author_sort | You, Yanwei |
collection | PubMed |
description | BACKGROUND: Trouble sleeping is one of the major health issues nowadays. Current evidence on the correlation between muscle quality and trouble sleeping is limited. METHODS: A cross-sectional study design was applied and participants aged from 18 to 60 years in the National Health and Nutrition Examination Survey (NHANES) 2011–2014 was used for analysis. Muscle quality index (MQI) was quantitatively calculated as handgrip strength (HGS, kg) sum/ arm and appendicular skeletal muscle mass (ASM, kg) by using the sum of the non-dominant hand and dominant hand. Sleeping data was obtained by interviews and self-reported by individuals. The main analyses utilized weighted multivariable logistic regression models according to the complex multi-stage sampling design of NHANES. Restricted cubic spline model was applied to explore the non-linear relationship between MQI and trouble sleeping. Moreover, subgroup analyses concerning sociodemographic and lifestyle factors were conducted in this study. RESULTS: 5143 participants were finally included in. In the fully adjusted model, an increased level of MQI was significantly associated with a lower odds ratio of trouble sleeping, with OR = 0.765, 95% CI: (0.652,0.896), p = 0.011. Restricted cubic spline showed a non-linear association between MQI and trouble sleeping. However, it seemed that the prevalence of trouble sleeping decreased with increasing MQI until it reached 2.362, after which the odds ratio of trouble sleeping reached a plateau. Subgroup analyses further confirmed that the negative association between the MQI and trouble sleeping was consistent and robust across groups. CONCLUSION: Overall, this study revealed that MQI can be used as a reliable predictor in odds ratio of trouble sleeping. Maintaining a certain level of muscle mass would be beneficial to sleep health. However, this was a cross-sectional study, and causal inference between MQI and trouble sleeping was worthy of further exploration. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15411-6. |
format | Online Article Text |
id | pubmed-10012435 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100124352023-03-15 Muscle quality index is associated with trouble sleeping: a cross-sectional population based study You, Yanwei Chen, Yuquan Zhang, Qi Yan, Ning Ning, Yi Cao, Qiang BMC Public Health Research BACKGROUND: Trouble sleeping is one of the major health issues nowadays. Current evidence on the correlation between muscle quality and trouble sleeping is limited. METHODS: A cross-sectional study design was applied and participants aged from 18 to 60 years in the National Health and Nutrition Examination Survey (NHANES) 2011–2014 was used for analysis. Muscle quality index (MQI) was quantitatively calculated as handgrip strength (HGS, kg) sum/ arm and appendicular skeletal muscle mass (ASM, kg) by using the sum of the non-dominant hand and dominant hand. Sleeping data was obtained by interviews and self-reported by individuals. The main analyses utilized weighted multivariable logistic regression models according to the complex multi-stage sampling design of NHANES. Restricted cubic spline model was applied to explore the non-linear relationship between MQI and trouble sleeping. Moreover, subgroup analyses concerning sociodemographic and lifestyle factors were conducted in this study. RESULTS: 5143 participants were finally included in. In the fully adjusted model, an increased level of MQI was significantly associated with a lower odds ratio of trouble sleeping, with OR = 0.765, 95% CI: (0.652,0.896), p = 0.011. Restricted cubic spline showed a non-linear association between MQI and trouble sleeping. However, it seemed that the prevalence of trouble sleeping decreased with increasing MQI until it reached 2.362, after which the odds ratio of trouble sleeping reached a plateau. Subgroup analyses further confirmed that the negative association between the MQI and trouble sleeping was consistent and robust across groups. CONCLUSION: Overall, this study revealed that MQI can be used as a reliable predictor in odds ratio of trouble sleeping. Maintaining a certain level of muscle mass would be beneficial to sleep health. However, this was a cross-sectional study, and causal inference between MQI and trouble sleeping was worthy of further exploration. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15411-6. BioMed Central 2023-03-14 /pmc/articles/PMC10012435/ /pubmed/36918831 http://dx.doi.org/10.1186/s12889-023-15411-6 Text en © The Author(s) 2023 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research You, Yanwei Chen, Yuquan Zhang, Qi Yan, Ning Ning, Yi Cao, Qiang Muscle quality index is associated with trouble sleeping: a cross-sectional population based study |
title | Muscle quality index is associated with trouble sleeping: a cross-sectional population based study |
title_full | Muscle quality index is associated with trouble sleeping: a cross-sectional population based study |
title_fullStr | Muscle quality index is associated with trouble sleeping: a cross-sectional population based study |
title_full_unstemmed | Muscle quality index is associated with trouble sleeping: a cross-sectional population based study |
title_short | Muscle quality index is associated with trouble sleeping: a cross-sectional population based study |
title_sort | muscle quality index is associated with trouble sleeping: a cross-sectional population based study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012435/ https://www.ncbi.nlm.nih.gov/pubmed/36918831 http://dx.doi.org/10.1186/s12889-023-15411-6 |
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