ArticleInternational journal of environmental research and public health2022
Effect of Morbidities, Depression, Anxiety, and Stress on Oral Health-Related Quality of Life among Migrant Elderly Following Children in Weifang, China.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- The relationship between oral health, psychological emotions and sleep disorders among migrant elderly people - an empirical study based on questionnaire survey.BMC public health · 2025Article
- The Complex Interplay Between Dental Anxiety, Generalized Anxiety, and Dental Neglect and Oral Health Quality of Life in the General Public.Healthcare (Basel, Switzerland) · 2025Article
- Investigation and analysis of sleep and mental health status among MEFCs.Frontiers in psychiatry · 2025Article
- Meta-analysis with systematic review to synthesize associations between oral health related quality of life and anxiety and depression.BDJ open · 2024Review
- The Effect of Chronic Disease and Mental Health on Sleep Quality among Migrant Elderly Following Children in Weifang City, China.International journal of environmental research and public health · 2022Article
- Perceived stress and life satisfaction among elderly migrants in China: A moderated mediation model.Frontiers in psychology · 2022Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study explored the relationship between depression, anxiety, stress, morbidity, and oral health-related quality of life (OHRQoL) in the migrant elderly following children (MEFC) in Weifang, China. A total of 613 MEFC were selected using multistage cluster random sampling. The GOHAI scale was used to evaluate oral health-related quality of life. The DASS-21 scale was used to assess levels of depression, anxiety, and stress. Univariate analysis and binary logistic regression were used to analyze the correlation between these indicators and oral health-related quality of life, of which 43.9% were classified as having poor oral health. Logistic regression analysis showed that the MEFC who were of older age (OR = 0.965,
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Registered trials
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