Evidence map›Paper›PMID 34302379›Full record

ArticleCommunity dentistry and oral epidemiology2021

Ten-year changes in children's oral health disparities: Findings from the 3rd and 4th oral health surveys in Beijing, China.

Qingping Yun, Min Liu, Mei Zhao, Wei Chen, Hui Zhang, Wei Hou, Chun Chang

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Article in Community dentistry and oral epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Qingping YunDepartment of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China.
Min LiuDepartment of Preventive Dentistry, Beijing Stomatological Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-1309-6414
Mei ZhaoDepartment of Preventive Dentistry, Beijing Stomatological Hospital, Capital Medical University, Beijing, China.
Wei ChenDepartment of Preventive Dentistry, Beijing Stomatological Hospital, Capital Medical University, Beijing, China.
Hui ZhangDepartment of Preventive Dentistry, Beijing Stomatological Hospital, Capital Medical University, Beijing, China.
Wei HouDepartment of Preventive Dentistry, Beijing Stomatological Hospital, Capital Medical University, Beijing, China.
Chun ChangDepartment of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China.ORCID 0000-0002-3337-678X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLittle is known about children's oral health disparities and their changes in developing countries. This study aimed to measure rural-urban and maternal education-related disparities in dental visits and untreated caries among Chinese children, and to describe their changes between 2005 and 2015.

methodsThe 12-year-old children's oral health data were from the 3rd (2005) and 4th (2015) oral health surveys in Beijing, China. Rural-urban disparities and maternal education-related disparities in dental visits and untreated caries were measured. The slope index of inequality (SII) and a relative index of inequality (RII) were applied to reflect the absolute and relative disparities respectively. These were estimated using a generalized linear regression model.

resultsData were analysed from 388 children in 2005 and 1926 children in 2015. The proportion of 12-year-old schoolchildren who visited the dentist was 24.0% in 2005 and 36.0% in 2015. Untreated caries prevalence in 2005 and 2015 was 20.9% and 16.2% respectively. Rural-urban disparities in dental visits narrowed between 2005 and 2015 (SII: -10.75 to -3.30, RII: 0.55 to 0.87), and maternal education-related disparities in dental visits also decreased during this decade (SII: -18.52 to -8.49, RII: 0.38 to 0.65). These changes were statistically significant. For disparities in untreated caries, only maternal education-related disparities in untreated caries in 2015 were found. The SII and RII were 6.39% (95% CI: 1.65, 11.13) and 1.57 (95% CI: 1.13, 2.20) respectively. The change in disparities in untreated caries was not statistically significant for rural-urban disparities (P = .319) or maternal education-related disparities (P = .501).

conclusionsThese findings indicate that in Beijing, China, disparities in children's dental visits narrowed between 2005 and 2015. However, maternal education-related disparities in dental visits and in untreated caries were still apparent, suggesting that policies to improve children's oral healthcare utilization equality should target the children with less-educated mothers.

Indexed as

Dental CariesOral HealthBeijingChildChinaFemaleHealth Status DisparitiesHealth SurveysHumansdental visitoral health inequalitiessocial determinants of healthuntreated caries

Identifiers

PMID34302379
PMCPMC8597119

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.