The relationship between oral health status, loneliness, and sleep quality among the migrant elderly following children in Weifang, Shandong Province, China: A comparative analysis on different migration types
BackgroundThe migrant elderly following children (MEFC) are a vulnerable group that emerged during fast urbanization in China. The MEFC faced physical and psychological discomfort upon their arrival in the inflow city, particularly those who came from rural areas.ObjectiveThis study aimed to explore...
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Frontiers Media S.A.
2023-02-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1053690/full |
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author | Xiaoxu Jiang Xiaoxu Jiang Guangwen Liu Guangwen Liu Jing Xu Jing Xu Hexian Li Hexian Li Jieru Wang Jieru Wang Mingli Pang Mingli Pang Shixue Li Shixue Li Lingzhong Xu Lingzhong Xu Xiaolei Guo Fanlei Kong Fanlei Kong |
author_facet | Xiaoxu Jiang Xiaoxu Jiang Guangwen Liu Guangwen Liu Jing Xu Jing Xu Hexian Li Hexian Li Jieru Wang Jieru Wang Mingli Pang Mingli Pang Shixue Li Shixue Li Lingzhong Xu Lingzhong Xu Xiaolei Guo Fanlei Kong Fanlei Kong |
author_sort | Xiaoxu Jiang |
collection | DOAJ |
description | BackgroundThe migrant elderly following children (MEFC) are a vulnerable group that emerged during fast urbanization in China. The MEFC faced physical and psychological discomfort upon their arrival in the inflow city, particularly those who came from rural areas.ObjectiveThis study aimed to explore the relationship between oral health status, loneliness, and sleep quality among the MEFC in China and to clarify the disparities in the above mentioned relationship by migration type.MethodsIn 2021, a cross-sectional survey was conducted in Weifang, Shandong Province, using multistage cluster random sampling to collect data from the MEFC aged 60 years and over. In total, 613 respondents [525 rural-to-urban (RTU) and 88 urban-to-urban (UTU)] were included in the final database. The chi-square test, t-test, and structural equation modeling (SEM) were used to investigate the relationship between oral health status, loneliness, and sleep quality among the RTU and UTU MEFC.ResultsTotal scores [mean ± standard deviation (SD)] for oral health status, loneliness, and sleep quality were 54.95 ± 6.47, 8.58 ± 3.03, and 4.47 ± 3.60, respectively. SEM revealed that, among the RTU and UTU MEFC, oral health status was positively and significantly related to sleep quality; however, the correlation was slightly stronger in the UTU MEFC. In both groups, there was a significant negative correlation between oral health status and loneliness, which was stronger in the UTU MEFC. In the RTU MEFC, a significant negative correlation between loneliness and sleep quality was observed, and in the UTU MEFC, no significant association between loneliness and sleep quality was observed.ConclusionThe sleep quality among the MEFC in this study was higher compared to previous studies. Oral health status was negatively correlated with loneliness and positively associated with sleep quality, whereas loneliness was negatively correlated with sleep quality. These three associations differed significantly between the UTU and RTU MEFC. The government, society, and families should take measures to improve oral health and reduce loneliness among the MEFC to improve their sleep quality. |
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issn | 2296-2565 |
language | English |
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publishDate | 2023-02-01 |
publisher | Frontiers Media S.A. |
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spelling | doaj.art-8883ec2e18cc44048e14578699984af22023-02-08T07:13:01ZengFrontiers Media S.A.Frontiers in Public Health2296-25652023-02-011010.3389/fpubh.2022.10536901053690The relationship between oral health status, loneliness, and sleep quality among the migrant elderly following children in Weifang, Shandong Province, China: A comparative analysis on different migration typesXiaoxu Jiang0Xiaoxu Jiang1Guangwen Liu2Guangwen Liu3Jing Xu4Jing Xu5Hexian Li6Hexian Li7Jieru Wang8Jieru Wang9Mingli Pang10Mingli Pang11Shixue Li12Shixue Li13Lingzhong Xu14Lingzhong Xu15Xiaolei Guo16Fanlei Kong17Fanlei Kong18Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, ChinaNHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, ChinaCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, ChinaNHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, ChinaCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, ChinaNHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, ChinaCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, ChinaNHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, ChinaCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, ChinaNHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, ChinaCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, ChinaNHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, ChinaCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, ChinaNHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, ChinaCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, ChinaNHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, ChinaShandong Center for Disease Control and Prevention, Academy of Preventive Medicine, Shandong University, Jinan, ChinaCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, ChinaNHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, ChinaBackgroundThe migrant elderly following children (MEFC) are a vulnerable group that emerged during fast urbanization in China. The MEFC faced physical and psychological discomfort upon their arrival in the inflow city, particularly those who came from rural areas.ObjectiveThis study aimed to explore the relationship between oral health status, loneliness, and sleep quality among the MEFC in China and to clarify the disparities in the above mentioned relationship by migration type.MethodsIn 2021, a cross-sectional survey was conducted in Weifang, Shandong Province, using multistage cluster random sampling to collect data from the MEFC aged 60 years and over. In total, 613 respondents [525 rural-to-urban (RTU) and 88 urban-to-urban (UTU)] were included in the final database. The chi-square test, t-test, and structural equation modeling (SEM) were used to investigate the relationship between oral health status, loneliness, and sleep quality among the RTU and UTU MEFC.ResultsTotal scores [mean ± standard deviation (SD)] for oral health status, loneliness, and sleep quality were 54.95 ± 6.47, 8.58 ± 3.03, and 4.47 ± 3.60, respectively. SEM revealed that, among the RTU and UTU MEFC, oral health status was positively and significantly related to sleep quality; however, the correlation was slightly stronger in the UTU MEFC. In both groups, there was a significant negative correlation between oral health status and loneliness, which was stronger in the UTU MEFC. In the RTU MEFC, a significant negative correlation between loneliness and sleep quality was observed, and in the UTU MEFC, no significant association between loneliness and sleep quality was observed.ConclusionThe sleep quality among the MEFC in this study was higher compared to previous studies. Oral health status was negatively correlated with loneliness and positively associated with sleep quality, whereas loneliness was negatively correlated with sleep quality. These three associations differed significantly between the UTU and RTU MEFC. The government, society, and families should take measures to improve oral health and reduce loneliness among the MEFC to improve their sleep quality.https://www.frontiersin.org/articles/10.3389/fpubh.2022.1053690/fulloral health statuslonelinesssleep qualitymigrant elderly following childrenmigration type disparitystructural equation modeling |
spellingShingle | Xiaoxu Jiang Xiaoxu Jiang Guangwen Liu Guangwen Liu Jing Xu Jing Xu Hexian Li Hexian Li Jieru Wang Jieru Wang Mingli Pang Mingli Pang Shixue Li Shixue Li Lingzhong Xu Lingzhong Xu Xiaolei Guo Fanlei Kong Fanlei Kong The relationship between oral health status, loneliness, and sleep quality among the migrant elderly following children in Weifang, Shandong Province, China: A comparative analysis on different migration types Frontiers in Public Health oral health status loneliness sleep quality migrant elderly following children migration type disparity structural equation modeling |
title | The relationship between oral health status, loneliness, and sleep quality among the migrant elderly following children in Weifang, Shandong Province, China: A comparative analysis on different migration types |
title_full | The relationship between oral health status, loneliness, and sleep quality among the migrant elderly following children in Weifang, Shandong Province, China: A comparative analysis on different migration types |
title_fullStr | The relationship between oral health status, loneliness, and sleep quality among the migrant elderly following children in Weifang, Shandong Province, China: A comparative analysis on different migration types |
title_full_unstemmed | The relationship between oral health status, loneliness, and sleep quality among the migrant elderly following children in Weifang, Shandong Province, China: A comparative analysis on different migration types |
title_short | The relationship between oral health status, loneliness, and sleep quality among the migrant elderly following children in Weifang, Shandong Province, China: A comparative analysis on different migration types |
title_sort | relationship between oral health status loneliness and sleep quality among the migrant elderly following children in weifang shandong province china a comparative analysis on different migration types |
topic | oral health status loneliness sleep quality migrant elderly following children migration type disparity structural equation modeling |
url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1053690/full |
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