Burden of disease attributable to risk factors in European countries: a scoping literature review

Gorasso, Vanessa, Morgado, Joana Nazaré, Charalampous, Periklis, Pires, Sara M., Haagsma, Juanita A., Santos, João Vasco, Idavain, Jane, Ngwa, Che Henry, Noguer, Isabel, Padron-Monedero, Alicia, Sarmiento, Rodrigo, Pinheiro, Vera, Von der Lippe, Elena, Jakobsen, Lea Sletting, Devleesschauwer, Brecht, Plass, Dietrich, and COST Action CA18218 participants, (2023) Burden of disease attributable to risk factors in European countries: a scoping literature review. Archives of Public Health, 81. 116.

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Objectives: Within the framework of the burden of disease (BoD) approach, disease and injury burden estimates attributable to risk factors are a useful guide for policy formulation and priority setting in disease prevention. Considering the important differences in methods, and their impact on burden estimates, we conducted a scoping literature review to: (1) map the BoD assessments including risk factors performed across Europe; and (2) identify the methodological choices in comparative risk assessment (CRA) and risk assessment methods.

Methods: We searched multiple literature databases, including grey literature websites and targeted public health agencies websites.

Results: A total of 113 studies were included in the synthesis and further divided into independent BoD assessments (54 studies) and studies linked to the Global Burden of Disease (59 papers). Our results showed that the methods used to perform CRA varied substantially across independent European BoD studies. While there were some methodological choices that were more common than others, we did not observe patterns in terms of country, year or risk factor. Each methodological choice can affect the comparability of estimates between and within countries and/or risk factors, since they might significantly influence the quantification of the attributable burden. From our analysis we observed that the use of CRA was less common for some types of risk factors and outcomes. These included environmental and occupational risk factors, which are more likely to use bottom-up approaches for health outcomes where disease envelopes may not be available.

Conclusions: Our review also highlighted misreporting, the lack of uncertainty analysis and the under-investigation of causal relationships in BoD studies. Development and use of guidelines for performing and reporting BoD studies will help understand differences, avoid misinterpretations thus improving comparability among estimates.

Item ID: 79172
Item Type: Article (Research - C1)
ISSN: 2049-3258
Copyright Information: © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Additional Information:

Theophilus I. Emeto is part of the COST Action CA18218 participants group. All collaborators are listed at the end of the article.

Date Deposited: 04 Jul 2023 01:58
FoR Codes: 42 HEALTH SCIENCES > 4202 Epidemiology > 420202 Disease surveillance @ 20%
42 HEALTH SCIENCES > 4202 Epidemiology > 420204 Epidemiological methods @ 40%
49 MATHEMATICAL SCIENCES > 4905 Statistics > 490502 Biostatistics @ 40%
SEO Codes: 20 HEALTH > 2004 Public health (excl. specific population health) > 200407 Health status (incl. wellbeing) @ 40%
20 HEALTH > 2001 Clinical health > 200101 Diagnosis of human diseases and conditions @ 30%
20 HEALTH > 2004 Public health (excl. specific population health) > 200404 Disease distribution and transmission (incl. surveillance and response) @ 30%
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