Najihah Lokman, Husin Wan Zakiyatussariroh Wan, Jalal Tengku Mardhiah Tengku, Marhazlinda Jamaludin
Department of Community Oral Health & Clinical Prevention, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur 50603, Malaysia.
Mathematical Sciences Studies, College of Computing, Informatics and Media, Universiti Teknologi MARA Cawangan Kelantan, Machang 18500, Malaysia.
Children (Basel). 2023 Jan 31;10(2):264. doi: 10.3390/children10020264.
This study assessed caries-free prevalence trends over two decades from 1996 to 2019 and projected the caries-free prevalence from 2020 to 2030 among schoolchildren in Malaysia. The study consisted of secondary data analysis of caries-free prevalence from 1996 to 2019 in six-, twelve- and sixteen-year-old schoolchildren obtained from Health Information Management System (HIMS) reports. Three time-series models were compared: double exponential smoothing (DES), autoregressive integrated moving average (ARIMA) and the error, trend and seasonal (ETS) model, and the best model with the smallest error was chosen for univariate projection of caries-free prevalence of each age group until 2030. An upward trend of caries-free prevalence was observed for all age groups over the years. Caries-free prevalence was projected to increase with a different increment in each age group for the next decade, with a slightly damped trend noted in 16-year-old schoolchildren. Of all the age groups, the caries-free prevalence trend and projection demonstrated to be highest in 12-year-olds, followed by 16-year-olds, while 6-year-old schoolchildren revealed the lowest caries-free prevalence over three decades. The 16-year-old schoolchildren demonstrated the smallest predicted increment in caries-free prevalence. Future work can explore multivariate projections. Meanwhile, more resources and interventions could prioritise all age groups.
本研究评估了1996年至2019年这二十年间无龋患病率的趋势,并预测了2020年至2030年马来西亚学童的无龋患病率。该研究包括对从健康信息管理系统(HIMS)报告中获取的6岁、12岁和16岁学童1996年至2019年无龋患病率的二次数据分析。比较了三种时间序列模型:双指数平滑法(DES)、自回归积分滑动平均法(ARIMA)和误差、趋势和季节性(ETS)模型,并选择误差最小的最佳模型对各年龄组直至2030年的无龋患病率进行单变量预测。多年来,所有年龄组的无龋患病率均呈上升趋势。预计在未来十年中,各年龄组的无龋患病率将以不同的增幅上升,16岁学童的趋势略有减弱。在所有年龄组中,无龋患病率趋势及预测结果显示12岁儿童最高,其次是16岁儿童,而6岁学童在三十年中的无龋患病率最低。16岁学童的无龋患病率预测增幅最小。未来的工作可以探索多变量预测。同时,更多的资源和干预措施可以优先惠及所有年龄组。