背景:2型糖尿病(T2D)导致显著的发病率,并且在太平洋岛国(PIC)不成比例地流行。太平洋岛屿国家的社会政治人口结构正在迅速变化,卫生服务必须适应其人口的需求。
目的:本研究的目的是回顾过去15年中发表的有关T2D患病率的文献,control,和管理,特别关注未来资助和研究项目的目标领域。
方法:本综述使用PRISMA指南进行。纳入标准是:在六个PIC中讨论T2D。结果仅限于1月1日之间发布的结果,2006年7月27日,2023年。
结果:共检索到6,640份出版物,110人符合入选标准。通过手工搜索确定了19项其他研究。T2D患病率在国家之间有所不同,但预计在未来几十年内会增加,预计到2030年汤加将达到31.2%。与T2D相关的因素因国家而异,包括斐济的印度-斐济族和基里巴斯的结核病。控制普遍较差,糖尿病和微血管并发症的未确诊率很高。在某些情况下,流行病学数据有限,描述糖尿病服务结构和功能的信息也是如此。
结论:患病率,control,斐济对T2D的管理各不相同,基里巴斯,萨摩亚,所罗门群岛,汤加,还有瓦努阿图.描述这些领域的数据仍然存在显著差距;然而,未来的研究和糖尿病管理计划显然有针对性。
BACKGROUND: Type 2 diabetes (T2D) causes significant morbidity and is disproportionately prevalent in Pacific Island Countries (PICs). The socio-political demographics of PICs are rapidly changing, and health services must adapt to match the needs of their population.
OBJECTIVE: The objective of this study was to review the literature published within the last 15 years relating to T2D prevalence, control, and management, with a specific focus on targetable areas for future funding and research projects.
METHODS: This review was conducted using the PRISMA guidelines. Inclusion criteria were: discussion on T2D in the six PICs. Results were limited to those published between 1st January, 2006, and 27th July, 2023.
RESULTS: A total of 6,640 publications were retrieved, and 110 met the inclusion criteria. Nineteen additional studies were identified through hand-searching. T2D prevalence differed between countries but was predicted to increase in the coming decades, with projections of up to 31.2% by 2030 in Tonga. Factors associated with T2D varied between countries, including Indian-Fijian ethnicity in Fiji and tuberculosis in Kiribati. Control was generally poor, with high rates of undiagnosed diabetes and microvascular complications. Epidemiological data was limited in some cases, as was information describing the structure and function of diabetes services.
CONCLUSIONS: The prevalence, control, and management of T2D varied between Fiji, Kiribati, Samoa, the Solomon Islands, Tonga, and
Vanuatu. Significant gaps remain in the data describing these domains; however, there are clearly targetable areas for future research and diabetes management programs.