betway必威登陆网址 (betway.com )学报››2023,Vol. 44››Issue (11): 840-845.DOI:10.3969/j.issn.2097-0005.2023.11.008

• 公共卫生与预防医学 •上一篇

北京市200例老年人口腔健康现状调查及影响因素分析

韩卫丽1(), 张缨1, 李岩峰2, 李芳3

  1. 1.北京市丰台区青塔街道社区卫生服务中心口腔科,北京 100000
    2.中国人民解放军总医院第四医学中心口腔科,北京 100000
    3.中国康复研究中心北京博爱医院神经内科,北京 100000
  • 收稿日期:2023-09-08出版日期:2023-11-25发布日期:2024-01-22
  • 作者简介:韩卫丽,硕士,主治医生,研究方向:老年人口腔健康相关生活质量现状调查,E-mail:wulofu88@tom.com

Investigation on the current situation and influencing factors of oral health related quality of life among 200 elderly people in Beijing

Weili HAN1(), Ying ZHANG1, Yanfeng LI2, Fang LI3

  1. 1.Department of Stomatology,Qingta Subdistrict Community Health Service Center,Fengtai District,Beijing 100000,China
    2.Department of Stomatology,Fourth Medical Center of General Hospital of the People's Liberation Army of China,Beijing 100000,China
    3.Department of Beijing Boai Hospital Neurology,China Rehabilitation Research Center,Beijing 100000,China
  • Received:2023-09-08Online:2023-11-25Published:2024-01-22

摘要:

目的研究北京市老年人口腔健康现状及影响因素。方法采用便利抽样法选取北京市2022年9月至2023年3月200例老年人为调查对象,采用口腔健康评价指数(geriatric oral health assessment index,GOHAI)评价其口腔健康相关生活质量。分析200例老年人GOHAI得分情况,采用单因素分析影响GOHAI得分的因素,分析相关因素与GOHAI评分的相关性,对有关因素赋值进行多元线性回归分析。结果北京市老年人GOHAI平均得分为(46.08 ± 5.13)分,处于低等水平;是否吸烟、饭后漱口、坚持早晚刷牙、黏膜异常、主动获取健康教育知识、定期口腔检查以及余留恒牙颗数、口腔保健自我效能量表(self-efficacy scale for self-care,SESS)评分不同的老年人GOHAI得分差异均有统计学意义(P< 0.05)。相关性分析结果显示,吸烟、黏膜异常与GOHAI得分呈负相关,余留恒牙颗数、饭后漱口、坚持早晚刷牙、主动获取健康教育知识、定期口腔检查、SESS评分与GOHAI得分呈正相关(P< 0.05)。多元线性回归分析发现,吸烟、余留恒牙颗数、饭后漱口、坚持早晚刷牙、黏膜异常、主动获取健康教育知识、定期口腔检查、SESS评分是老年人GOHAI得分的影响因素(P< 0.05)。结论老年人GOHAI得分与吸烟、余留恒牙颗数、饭后漱口、坚持早晚刷牙、黏膜异常、主动获取健康教育知识、定期口腔检查、SESS评分密切相关,应积极采取相应措施以改善老年群体口腔健康状况。

关键词:北京市,老年人,口腔健康相关生活质量,影响因素

Abstract:

ObjectiveTo study the oral health status and influencing factors of 200 elderly people in Beijing.MethodsConvenient sampling method was used to select 200 elderly people in Beijing from September 2022 to March 2023 as survey subjects, and the oral health assessment index (GOHAI) was used to evaluate their oral health-related quality of life. Univariate analysis was used to analyze the GOHAI scores of 200 elderly people the factors that affected GOHAI scores, and the correlation between factors with differences and GOHAI scores, and multiple linear regression analysis was performed to assign values to factors with differences.ResultsThe average GOHAI score of 200 elderly people in Beijing was (46.08 ± 5.13) points, which was at a low level; There was a statistically significant difference in GOHAI scores among elderly individuals with different scores such as smoking, rinsing after meals, persisting in brushing teeth in the morning and evening, mucosal abnormalities, actively acquiring health education knowledge, regular oral examinations, remaining permanent teeth, and self-efficacy scale for self-care (SESS) in oral health care (P< 0.05); The correlation analysis results showed that smoking, mucosal abnormalities, and GOHAI scores were negatively correlated. The number of remaining permanent teeth, mouthwash after meals, adhering to morning and evening brushing, actively acquiring health education knowledge, regular oral examinations, SESS scores, and GOHAI scores were positively correlated (P< 0.05); Multiple linear regression analysis found that smoking, number of remaining permanent teeth, mouthwash after meals, adherence to brushing in the morning and evening, mucosal abnormalities, active access to health education knowledge, regular oral examinations, and SESS score were influencing factors for the GOHAI score of the elderly (P< 0.05).ConclusionThe GOHAI score of elderly people is closely related to smoking, the number of remaining permanent teeth, mouthwash after meals, adherence to morning and evening brushing, mucosal abnormalities, active acquisition of health education knowledge, regular oral examinations, and SESS score. Corresponding measures should be actively taken to improve the oral health related quality of life of the elderly population.

Key words:Beijing,elderly people,oral health related quality of life,influence factor