Type 2 Diabetes Trends in Semnan Province of Iran and Forecasting until 2025: A Time Series Modeling Study in 2015 - 2020

Author:

Mohammadi GholamrezaORCID,Rostamian Motlagh Fatemeh,Hassanabadi Sepehr,Babakhanian MasoudehORCID,Abounoori MahdiORCID,Darbani Mahdie,Fattah AbolfazlORCID

Abstract

Background: To decrease diabetes prevalence, society will have to make efficient policies. Objectives: This study was done to raise public awareness by estimating the incidence of type 2 diabetes mellitus (T2DM) in Semnan province from 2015 to 2020 and predicting its incidence until 2025. Methods: A Box-Jenkins time series analysis was used in this longitudinal study. The number of referrals with diabetes was estimated month by month from 2015 to 2020. The autoregressive integrated moving average (ARIMA) model parameters were determined using the Time Autocorrelation Function and Partial Autocorrelation Function graphs after using appropriate data transformation methods to create a stationary time series. Dickey-Fuller test was used to perform an accurate examination of the static assumption. ARIMA (3,1,4) was selected as the best fit for the data after analyzing the Akaike statistics of the proposed models. Finally, until 2025, the ARIMA (3,1,4) model projected the number of diabetic patients in Semnan province. Results: The total incidence of T2DM ranged by year was 75203 in 2015 and 165143 in 2020. The time series has an increasing trend, but there is no seasonal variation or periodic pattern. The data about the T2DM incidence indicated an upward trend. Furthermore, the number of T2DM patients is expected to reach 14546.35 (95% CI: 13667.88 - 15374.72) in 2021 and will reach 16956.45 (95% CI: 13499.26 - 19819.49) by the end of 2025. Conclusions: This study reported an increasing trend in T2DM incidence, which necessitates a national commitment to proactive remedies, including public policies and economic incentives for localities to begin diabetes preventive initiatives.

Publisher

Briefland

Subject

Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3