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Sleep Status and the Associated Factors: A Large Cross-Sectional Study in Shaanxi Province, China
This study aimed at investigating the sleep status and its associated factors in Shaanxi province, China. We conducted a cross-sectional study among 11,399 subjects in Shaanxi Province, China. Data were collected via spot field questionnaire surveys. The contents included demographic characteristics...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908339/ https://www.ncbi.nlm.nih.gov/pubmed/33573245 http://dx.doi.org/10.3390/ijerph18031250 |
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author | Zhang, Yaxuan Wang, Jiwei Lu, Xinyuan Che, Beibei Yu, Jinming |
author_facet | Zhang, Yaxuan Wang, Jiwei Lu, Xinyuan Che, Beibei Yu, Jinming |
author_sort | Zhang, Yaxuan |
collection | PubMed |
description | This study aimed at investigating the sleep status and its associated factors in Shaanxi province, China. We conducted a cross-sectional study among 11,399 subjects in Shaanxi Province, China. Data were collected via spot field questionnaire surveys. The contents included demographic characteristics, sleep status, lifestyles, disease history and other associated factors. Logistic regression analysis was used to estimate the effect of associated factors on sleep quality. A total of 11,036 subjects were included in the final analysis. In total, 12.8% of the participants had bad or very bad sleep. In the last month, 8.4% of the participants had difficulty in initiating sleep, 7.6% of the participants had difficulty in maintaining sleep, 8.8% of the participants suffered from awakening earlier and 10.3% of the participants had the problem of feeling sleepy during the day ≥3 times per week. Poorer sleep quality was associated with being female, being unmarried or without cohabiting with a boyfriend/girlfriend, being divorced or widowed, heart diseases, musculoskeletal diseases, concerns about their own health, drinking alcohol, taking hypnotics, and a longer daily screen time. Better sleep quality was associated with medium education level, high family monthly income, good self-reported health status, and having breakfast regularly. In conclusion, more than one in ten people did not sleep well and suffered from different sleep problems in Shaanxi, China. Sleep quality was associated with sex, marital status, educational level, family monthly income, heart disease, musculoskeletal diseases, degree of concerning about their own health, self-reported health status, drinking alcohol, having breakfast, taking hypnotics and daily screen time. |
format | Online Article Text |
id | pubmed-7908339 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79083392021-02-27 Sleep Status and the Associated Factors: A Large Cross-Sectional Study in Shaanxi Province, China Zhang, Yaxuan Wang, Jiwei Lu, Xinyuan Che, Beibei Yu, Jinming Int J Environ Res Public Health Article This study aimed at investigating the sleep status and its associated factors in Shaanxi province, China. We conducted a cross-sectional study among 11,399 subjects in Shaanxi Province, China. Data were collected via spot field questionnaire surveys. The contents included demographic characteristics, sleep status, lifestyles, disease history and other associated factors. Logistic regression analysis was used to estimate the effect of associated factors on sleep quality. A total of 11,036 subjects were included in the final analysis. In total, 12.8% of the participants had bad or very bad sleep. In the last month, 8.4% of the participants had difficulty in initiating sleep, 7.6% of the participants had difficulty in maintaining sleep, 8.8% of the participants suffered from awakening earlier and 10.3% of the participants had the problem of feeling sleepy during the day ≥3 times per week. Poorer sleep quality was associated with being female, being unmarried or without cohabiting with a boyfriend/girlfriend, being divorced or widowed, heart diseases, musculoskeletal diseases, concerns about their own health, drinking alcohol, taking hypnotics, and a longer daily screen time. Better sleep quality was associated with medium education level, high family monthly income, good self-reported health status, and having breakfast regularly. In conclusion, more than one in ten people did not sleep well and suffered from different sleep problems in Shaanxi, China. Sleep quality was associated with sex, marital status, educational level, family monthly income, heart disease, musculoskeletal diseases, degree of concerning about their own health, self-reported health status, drinking alcohol, having breakfast, taking hypnotics and daily screen time. MDPI 2021-01-30 2021-02 /pmc/articles/PMC7908339/ /pubmed/33573245 http://dx.doi.org/10.3390/ijerph18031250 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Yaxuan Wang, Jiwei Lu, Xinyuan Che, Beibei Yu, Jinming Sleep Status and the Associated Factors: A Large Cross-Sectional Study in Shaanxi Province, China |
title | Sleep Status and the Associated Factors: A Large Cross-Sectional Study in Shaanxi Province, China |
title_full | Sleep Status and the Associated Factors: A Large Cross-Sectional Study in Shaanxi Province, China |
title_fullStr | Sleep Status and the Associated Factors: A Large Cross-Sectional Study in Shaanxi Province, China |
title_full_unstemmed | Sleep Status and the Associated Factors: A Large Cross-Sectional Study in Shaanxi Province, China |
title_short | Sleep Status and the Associated Factors: A Large Cross-Sectional Study in Shaanxi Province, China |
title_sort | sleep status and the associated factors: a large cross-sectional study in shaanxi province, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908339/ https://www.ncbi.nlm.nih.gov/pubmed/33573245 http://dx.doi.org/10.3390/ijerph18031250 |
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