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就监测和评估儿童肥胖干预措施的关键公共卫生指标达成共识:一项德尔菲专家小组研究。

Establishing consensus on key public health indicators for the monitoring and evaluating childhood obesity interventions: a Delphi panel study.

作者信息

O'Donnell Shane, Doyle Gerardine, O'Malley Grace, Browne Sarah, O'Connor James, Mars Monica, Kechadi M-Tahar M

机构信息

School of Sociology, University College Dublin, D04 V1W8,, Dublin, Ireland.

UCD College of Business and UCD Geary Institute for Public Policy, University College Dublin, Dublin, A94 XF34, Ireland.

出版信息

BMC Public Health. 2020 Nov 17;20(1):1733. doi: 10.1186/s12889-020-09814-y.

DOI:10.1186/s12889-020-09814-y
PMID:33203390
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7670696/
Abstract

BACKGROUND

Childhood obesity is influenced by myriad individual, societal and environmental factors that are not typically reflected in current interventions. Socio-ecological conditions evolve and require ongoing monitoring in terms of assessing their influence on child health. The aim of this study was to identify and prioritise indicators deemed relevant by public health authorities for monitoring and evaluating childhood obesity interventions.

METHOD

A three-round Delphi Panel composed of experts from regions across Europe, with a remit in childhood obesity intervention, were asked to identify indicators that were a priority in their efforts to address childhood obesity in their respective jurisdictions. In Round 1, 16 panellists answered a series of open-ended questions to identify the most relevant indicators concerning the evaluation and subsequent monitoring of interventions addressing childhood obesity, focusing on three main domains: built environments, dietary environments, and health inequalities. In Rounds 2 and 3, panellists rated the importance of each of the identified indicators within these domains, and the responses were then analysed quantitatively.

RESULTS

Twenty-seven expert panellists were invited to participate in the study. Of these, 16/27 completed round 1 (5 9% response rate), 14/16 completed round 2 (87.5% response rate), and 8/14 completed the third and final round (57% response rate). Consensus (defined as > 70% agreement) was reached on a total of 45 of the 87 indicators (49%) across three primary domains (built and dietary environments and health inequalities), with 100% consensus reached for 5 of these indicators (6%).

CONCLUSION

Forty-five potential indicators were identified, pertaining primarily to the dietary environment, built environment and health inequalities. These results have important implications more widely for evaluating interventions aimed at childhood obesity reduction and prevention.

摘要

背景

儿童肥胖受到众多个人、社会和环境因素的影响,而这些因素在当前的干预措施中通常并未得到体现。社会生态状况不断演变,需要持续监测以评估其对儿童健康的影响。本研究的目的是识别并确定公共卫生当局认为与监测和评估儿童肥胖干预措施相关的指标的优先顺序。

方法

一个由来自欧洲各地、负责儿童肥胖干预的专家组成的三轮德尔菲小组,被要求确定在各自辖区内解决儿童肥胖问题时应优先考虑的指标。在第一轮中,16名小组成员回答了一系列开放式问题,以确定与评估和随后监测儿童肥胖干预措施最相关的指标,重点关注三个主要领域:建筑环境、饮食环境和健康不平等。在第二轮和第三轮中,小组成员对这些领域内每个已确定指标的重要性进行评分,然后对回答进行定量分析。

结果

邀请了27名专家小组成员参与研究。其中,16/27完成了第一轮(回复率59%),14/16完成了第二轮(回复率87.5%),8/14完成了第三轮也是最后一轮(回复率57%)。在三个主要领域(建筑和饮食环境以及健康不平等)的87个指标中,共有45个(49%)达成了共识(定义为>70%的一致意见),其中5个指标(6%)达成了100%的共识。

结论

确定了45个潜在指标,主要涉及饮食环境、建筑环境和健康不平等。这些结果对于更广泛地评估旨在减少和预防儿童肥胖的干预措施具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2620/7670696/ef00b60c2b1e/12889_2020_9814_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2620/7670696/ef00b60c2b1e/12889_2020_9814_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2620/7670696/ef00b60c2b1e/12889_2020_9814_Fig1_HTML.jpg

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Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:5864-5867. doi: 10.1109/EMBC44109.2020.9175361.
2
A Snapshot of European Children's Eating Habits: Results from the Fourth Round of the WHO European Childhood Obesity Surveillance Initiative (COSI).欧洲儿童饮食习惯快照:来自世界卫生组织欧洲儿童肥胖监测倡议(COSI)第四轮的结果。
Nutrients. 2020 Aug 17;12(8):2481. doi: 10.3390/nu12082481.
3
Practical Considerations in Using Online Modified-Delphi Approaches to Engage Patients and Other Stakeholders in Clinical Practice Guideline Development.
公共卫生现场调查和短期研究基地建设的中国指标体系构建:经验与启示。
Glob Health Res Policy. 2022 Oct 28;7(1):40. doi: 10.1186/s41256-022-00273-z.
4
Toward Systems Models for Obesity Prevention: A Big Role for Big Data.迈向肥胖预防的系统模型:大数据的重要作用。
Curr Dev Nutr. 2022 Jul 30;6(9):nzac123. doi: 10.1093/cdn/nzac123. eCollection 2022 Sep.
5
Exploring Associations Between Children's Obesogenic Behaviors and the Local Environment Using Big Data: Development and Evaluation of the Obesity Prevention Dashboard.利用大数据探索儿童致肥胖行为与当地环境之间的关联:肥胖预防仪表盘的开发与评估。
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Patient. 2020 Feb;13(1):11-21. doi: 10.1007/s40271-019-00389-4.
4
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5
The obesity transition: stages of the global epidemic.肥胖流行的转变:全球流行阶段。
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6
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9
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Int J Obes (Lond). 2018 Dec;42(12):1963-1976. doi: 10.1038/s41366-018-0184-0. Epub 2018 Sep 21.
10
How has big data contributed to obesity research? A review of the literature.大数据如何促进肥胖研究?文献回顾。
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