医学
牙缺失
老年学
队列研究
倾向得分匹配
人口学
线性回归
前瞻性队列研究
置信区间
队列
社会经济地位
日常生活活动
回归分析
人口
牙科
物理疗法
口腔健康
环境卫生
外科
统计
内科学
社会学
数学
作者
Yukihiro Sato,Jun Aida,Katsunori Kondo,Toru Tsuboya,Richard G. Watt,Tatsuo Yamamoto,Shihoko Koyama,Yusuke Matsuyama,Ken Osaka
摘要
Objectives To describe associations between tooth loss and changes in higher‐level functional capacity. Design Prospective cohort study. Setting Twenty‐four Japanese municipalities between 2010 and 2013. Participants Functionally independent community‐dwelling persons aged 65 and older (N = 62,333). Measurements Self‐reported number of teeth was used as an exposure variable. The outcome was changes in higher‐level functional capacity measured using the Tokyo Metropolitan Institute of Gerontology Index of Competence ( TMIG ‐ IC ), which consists of three domains: instrumental activities of daily living, intellectual activity, and social roles. The TMIG ‐ IC score ranges from 0 (lowest function) to 13 (highest function). All covariates were chosen from baseline demographic, socioeconomic, health behavior, and health variables based upon evidence from previous studies. Inverse‐probability weighting ( IPW ) with propensity score and multiple linear regression, estimating nonstandardized coefficients (β) and 95% confidence intervals (CIs), were used. Results The baseline response rate was 65.2%, and the follow‐up rate was 70.1%. During the follow‐up period, participants’ TMIG ‐ IC score declined by an average of 0.247 points (standard deviation: 1.446). The results showed a significant dose‐response association between tooth loss and decline in higher‐level functional capacity in multiple linear regression models. IPW models estimated the increment in TMIG ‐ IC score (β = 0.170, 95% CI = 0.114 to 0.227) if edentulous participants gained 20 or more natural teeth. Conclusion Tooth loss is associated with future decline in higher‐level functional capacity. IPW models suggest that treatment for tooth loss attenuates decline in higher‐level functional capacity.
科研通智能强力驱动
Strongly Powered by AbleSci AI