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一项关于非传染性疾病风险因素的全国监测调查:苏里南健康研究方案。

A National Surveillance Survey on Noncommunicable Disease Risk Factors: Suriname Health Study Protocol.

作者信息

Krishnadath Ingrid Sk, Smits Christel Cf, Jaddoe Vincent Wv, Hofman Albert, Toelsie Jerry R

机构信息

Department of Public Health, Faculty of Medical Sciences, Anton de Kom University of Suriname, Paramaribo, Suriname.

出版信息

JMIR Res Protoc. 2015 Jun 17;4(2):e75. doi: 10.2196/resprot.4205.

DOI:10.2196/resprot.4205
PMID:26085372
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4526944/
Abstract

BACKGROUND

Noncommunicable diseases (NCDs) are the leading cause of death in low- and middle-income countries. Therefore, the surveillance of risk factors has become an issue of major importance for planning and implementation of preventive measures. Unfortunately, in these countries data on NCDs and their risk factors are limited. This also prevails in Suriname, a middle-income country of the Caribbean, with a multiethnic/multicultural population living in diverse residential areas. For these reasons, "The Suriname Health Study" was designed.

OBJECTIVE

The main objective of this study is to estimate the prevalence of NCD risk factors, including metabolic syndrome, hypertension, and diabetes in Suriname. Differences between specific age groups, sexes, ethnic groups, and geographical areas will be emphasized. In addition, risk groups will be identified and targeted actions will be designed and evaluated.

METHODS

In this study, several methodologies were combined. A stratified multistage cluster sample was used to select the participants of 6 ethnic groups (Hindustani, Creole, Javanese, Maroon, Chinese, Amerindians, and mixed) divided into 5 age groups (between 15 and 65 years) who live in urban/rural areas or the hinterland. A standardized World Health Organization STEPwise approach to surveillance questionnaire was adapted and used to obtain information about demographic characteristics, lifestyle, and risk factors. Physical examinations were performed to measure blood pressure, height, weight, and waist circumference. Biochemical analysis of collected blood samples evaluated the levels of glucose, high-density-lipoprotein cholesterol, total cholesterol, and triglycerides. Statistical analysis will be used to identify the burden of modifiable and unmodifiable risk factors in the aforementioned subgroups. Subsequently, tailor-made interventions will be prepared and their effects will be evaluated.

RESULTS

The data as collected allow for national inference and valid analysis of the age, sex, and ethnicity subgroups in the Surinamese population. A publication of the basic survey results is anticipated in mid-2015. Secondary results on the effect of targeted lifestyle interventions are anticipated in late 2017.

CONCLUSIONS

Using the data collected in this study, the national prevalence of NCD risk factors will be approximated and described in a diverse population. This study is an entry point for formulating the structure of NCD prevention and surveillance.

摘要

背景

非传染性疾病(NCDs)是低收入和中等收入国家的主要死因。因此,对风险因素的监测已成为规划和实施预防措施的一个至关重要的问题。不幸的是,在这些国家,关于非传染性疾病及其风险因素的数据有限。加勒比地区的中等收入国家苏里南也存在这种情况,该国多民族/多元文化的人口居住在不同的居民区。出于这些原因,开展了“苏里南健康研究”。

目的

本研究的主要目的是估计苏里南非传染性疾病风险因素的患病率,包括代谢综合征、高血压和糖尿病。将着重分析特定年龄组、性别、种族和地理区域之间的差异。此外,将确定风险群体,并设计和评估针对性行动。

方法

在本研究中,综合运用了多种方法。采用分层多阶段整群抽样,从居住在城市/农村地区或内陆地区的6个种族群体(印度斯坦人、克里奥尔人、爪哇人、黑奴后裔、华人、美洲印第安人及混血)中选取参与者,这些参与者分为5个年龄组(15至65岁)。采用经过调整的标准化世界卫生组织逐步监测问卷方法,获取有关人口统计学特征、生活方式和风险因素的信息。进行体格检查以测量血压、身高、体重和腰围。对采集的血样进行生化分析,评估血糖、高密度脂蛋白胆固醇、总胆固醇和甘油三酯水平。将使用统计分析来确定上述亚组中可改变和不可改变风险因素的负担。随后,将制定量身定制的干预措施并评估其效果。

结果

所收集的数据有助于对苏里南人口中的年龄、性别和种族亚组进行全国性推断和有效分析。预计2015年年中公布基本调查结果。预计2017年年末得出针对性生活方式干预效果的次要结果。

结论

利用本研究收集的数据,将估算出不同人群中非传染性疾病风险因素的全国患病率并加以描述。本研究是制定非传染性疾病预防和监测架构的切入点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615d/4526944/4e053b575605/resprot_v4i2e75_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615d/4526944/91f666c165c1/resprot_v4i2e75_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615d/4526944/4e053b575605/resprot_v4i2e75_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615d/4526944/91f666c165c1/resprot_v4i2e75_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615d/4526944/4e053b575605/resprot_v4i2e75_fig2.jpg

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