Alobaidi Fatimah, Heidari Ellie, Sabbah Wael
Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK.
Gerodontology. 2025 Sep;42(3):396-404. doi: 10.1111/ger.12807. Epub 2025 Jan 8.
To identify different clusters of health-related behaviours and examine whether these clusters are associated with maintaining 20 or more teeth.
Engaging in risky behaviours impacts tooth loss, particularly among older adults. Maintaining 20 teeth is a challenge for this age group. The co-occurrence of health-risk behaviours is common and has been linked to an increased risk of multiple chronic diseases, including tooth loss.
A cross-sectional analysis of wave 7 of the English Longitudinal Study of Ageing (ELSA) was conducted. Functional dentition was self-reported as having 20 or more teeth. Four health-related behaviours (smoking, alcohol intake, fruit and vegetable consumption, and physical activity) were analysed to investigate their association with functional dentition. Demographic characteristics (sex, age, ethnicity) and socioeconomic factors (education, wealth) were included as covariates. Latent Class Analysis (LCA) was conducted using four dichotomised behaviour variables to identify clusters of behaviours. Logistic regression modelling was used to examine the association between clusters of health-related behaviours and functional dentition. The model was adjusted for demographic and socioeconomic factors.
A total of 7783 participants were included. The LCA model identified three clusters: (1) risky, (2) moderate and (3) healthy. In the fully adjusted logistic regression model, the odds of having a functional dentition were 1.42 higher among those in the moderate cluster (95% CI: 1.23, 1.65), and 1.70 higher among those in the healthy cluster (95% CI: 1.39, 2.09) than for participants in the risky cluster.
Risky behaviours tend to cluster among older adults. Engaging in multiple risky behaviours is associated with having fewer than 20 teeth. Initiatives and public health campaigns that focus on these clustering patterns, as well as the underlying factors, could benefit both oral and general health.
识别与健康相关行为的不同群组,并研究这些群组是否与保留20颗或更多牙齿有关。
从事危险行为会影响牙齿脱落,尤其是在老年人中。对于这个年龄组来说,保留20颗牙齿是一项挑战。健康风险行为的同时出现很常见,并且与包括牙齿脱落在内的多种慢性疾病风险增加有关。
对英国老龄化纵向研究(ELSA)第7波进行横断面分析。功能性牙列通过自我报告为有20颗或更多牙齿。分析了四种与健康相关的行为(吸烟、饮酒、水果和蔬菜消费以及体育活动),以研究它们与功能性牙列的关联。人口统计学特征(性别、年龄、种族)和社会经济因素(教育程度、财富)作为协变量纳入。使用四个二分行为变量进行潜在类别分析(LCA)以识别行为群组。使用逻辑回归模型研究与健康相关行为群组和功能性牙列之间的关联。该模型针对人口统计学和社会经济因素进行了调整。
总共纳入了7783名参与者。LCA模型识别出三个群组:(1)高风险,(2)中等风险和(3)健康。在完全调整的逻辑回归模型中,中等风险群组的参与者拥有功能性牙列的几率比高风险群组的参与者高1.42倍(95%置信区间:1.23,1.65),健康群组的参与者比高风险群组的参与者高1.70倍(95%置信区间:1.39,2.09)。
危险行为往往在老年人中聚集。从事多种危险行为与牙齿少于20颗有关。关注这些聚集模式以及潜在因素的举措和公共卫生运动可能有益于口腔健康和整体健康。