Evidence map›Paper›PMID 39671115›Full record

ArticleActa diabetologica2025

Incidence of type 1 diabetes in Gansu Province, Northwest China from 2018 to 2022: a multicenter, hospitalization-based study.

Yue Zhang, Xiaoning Liu, Shaolun Yang, Xueni Yang, Mengmeng Shang, Yujie Zhang, Limin Tian

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Acta diabetologica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yue Zhang *The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730000, China.
Xiaoning Liu *Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
Shaolun YangDepartment of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
Xueni YangDepartment of Endocrinology, Gansu Provincial Hospital, Lanzhou, 730000, China.
Mengmeng ShangDepartment of Endocrinology, Gansu Provincial Hospital, Lanzhou, 730000, China.
Yujie ZhangDepartment of Endocrinology, Gansu Provincial Hospital, Lanzhou, 730000, China.
Limin TianThe First School of Clinical Medicine, Lanzhou University, Lanzhou, 730000, China. tlm7066@sina.com.ORCID http://orcid.org/0000-0002-9042-8523

Funding

the science and technology major project,Gansu Province 22ZD6FA033
6 · The paper itself

Abstract

objectiveTo survey the epidemiology of type 1 diabetes in all age groups living in the Gansu Province, China during 2018-2022.

methodsUsing the data from the Gansu Province Health Commission Information Center and medical records, the crude incidence and 95%CI were calculated by region, age group, and sex assuming a Poisson distribution. The incidence differences were evaluated using the χ2 test. Spearman correlation was used to analyze the relation between latitude and incidence. The seasonality was analyzed using concentration, seasonal index and circular distribution method.

results1393 cases of newly diagnosed type 1 diabetes were ascertained. The crude incidence of type 1 diabetes per 100,000 person-years in all individuals in Gansu Province was 1.09(95% confidence interval 1.03 to 1.15). The estimated incidence per 100,000 person-years by age group was 1.39 (95%CI:1.24-1.54) for 0-14 years, 3.58 (95%CI:3.33-3.83) for 15-29 years, 0.33(95%CI:0.29-0.37) for ≥ 30 years, with a peak in age group 15-19 years. There was a difference between males and females. Incidence of type 1 diabetes in Gansu Province was strongly correlated with latitude among children aged 0-29 years, and all age groups, but such correlation was not observed in adults aged ≥ 30 years. The seasonality of the type 1 diabetes is not obvious.

conclusionThe incidence of type 1 diabetes was relatively lower from 2018 to 2022 in Gansu Province, with variations across different regions and a positive correlation with latitude observed in all age groups. The incidence peak was noted in the 15-19 years group, and the incidence among males was higher than in females in all age groups. There was no significant seasonal variation in the incidence of type 1 diabetes.

Indexed as

Diabetes Mellitus, Type 1HospitalizationAdolescentAdultAgedChildChild, PreschoolChinaFemaleHumansIncidenceInfantInfant, NewbornMaleMiddle AgedSeasonsChinaGansu ProvinceIncidenceType 1 diabetes mellitus

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