The spatial and temporal trends of severe periodontitis burden in Asia, 1990-2019: A population-based epidemiological study.

流行病学 入射(几何) 人口学 医学 疾病负担 社会经济地位 公共卫生 人口 疾病负担 牙周炎 地理 环境卫生
作者
Li-Sha Luo,Hang-Hang Luan,Jun-Feng Jiang,Lan Wu,Cheng Li,Wei-Dong Leng,Xian-Tao Zeng
出处
期刊:Journal of Periodontology [Wiley]
标识
DOI:10.1002/jper.21-0625
摘要

To investigate the long-term and spatial patterns of incidence, prevalence and disability-adjusted life year (DALY) of severe periodontitis in Asia from 1990 to 2019, and to estimate the associations between disease burden and socioeconomic development using the Socio-Demographic Index (SDI).Data were obtained from the global burden of disease study 2019. The average annual percent change (AAPC) was calculated to reflect temporal trends, spatial autocorrelation analysis was conducted to estimate the spatial characteristics, and spatial panel models were used to investigate the association between SDI and severe periodontitis burden.For Asia as a whole, the crude rates increased by 1.10% per year for incidence, 1.42% per year for prevalence and 1.41% per year for DALY from 1990 to 2019. The age-standardized incidence, prevalence and DALY rates increased by 0.18%, 0.22% and 0.23% per year, respectively. Spatially, the hot spots of age-standardized incidence, prevalence and DALY rates were located in Southern Asia, besides, these rates all showed increasing trends in most countries, and the increases were clustered in Southeastern Asia. Furthermore, SDI showed a negative association with incidence (coef = -14.44; 95%CI: -24.63, -4.25) and prevalence (coef = -40.09; -51.81, -28.36), and a positive association with DALY rates (coef = 0.31; 0.23, 0.38).Severe periodontitis poses a serious public health challenge in Asian countries with increasing temporal trends and substantial spatial inequalities. Effective geographically targeted public health interventions and strategies are needed to address the growing burden associated with severe periodontitis. This article is protected by copyright. All rights reserved.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
gaos发布了新的文献求助10
1秒前
小吴完成签到,获得积分10
2秒前
迟大猫应助Star1983采纳,获得10
2秒前
chinning完成签到,获得积分10
3秒前
Mon_zh发布了新的文献求助20
3秒前
3秒前
漂亮送终完成签到,获得积分10
3秒前
朴素篮球发布了新的文献求助10
4秒前
天才完成签到 ,获得积分10
4秒前
不喝可乐发布了新的文献求助10
4秒前
5秒前
皮尤尤发布了新的文献求助10
5秒前
6秒前
道中道完成签到,获得积分10
7秒前
7秒前
知之然完成签到,获得积分10
7秒前
研友_n2QP2L完成签到,获得积分10
7秒前
Lucas应助安静听白采纳,获得10
7秒前
CC发布了新的文献求助10
7秒前
星辰大海应助系统提示采纳,获得10
8秒前
8秒前
sss完成签到,获得积分10
8秒前
8秒前
板凳完成签到,获得积分10
9秒前
单纯访枫发布了新的文献求助30
9秒前
bin0920发布了新的文献求助10
9秒前
aaaaaa完成签到,获得积分10
10秒前
tangsuyun完成签到,获得积分20
10秒前
MADKAI发布了新的文献求助50
10秒前
大方小白完成签到,获得积分10
10秒前
xiaokezhang发布了新的文献求助10
10秒前
10秒前
zhenzhen发布了新的文献求助10
11秒前
11秒前
hz_sz完成签到,获得积分10
12秒前
12秒前
空白完成签到,获得积分10
12秒前
所所应助合适苗条采纳,获得10
12秒前
专注易绿完成签到,获得积分10
13秒前
Anne应助吱嗷赵采纳,获得10
13秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527469
求助须知:如何正确求助?哪些是违规求助? 3107497
关于积分的说明 9285892
捐赠科研通 2805298
什么是DOI,文献DOI怎么找? 1539865
邀请新用户注册赠送积分活动 716714
科研通“疑难数据库(出版商)”最低求助积分说明 709678