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Obesity Burden and Impact of Weight Loss in Saudi Arabia: A Modelling Study

BACKGROUND: Obesity and its complications are associated with morbidity, mortality and high economic cost in Saudi Arabia. Estimating this impact at the population level and potential benefits to be gained from obesity reduction is vital to underpin policy initiatives to prevent disease risks. METHO...

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Autores principales: Alqahtani, Saleh A., Al-Omar, Hussain A., Alshehri, Ali, Abanumay, Abdulmohsen, Alabdulkarim, Hana, Alrumaih, Ali, Eldin, Mahmoud S., Schnecke, Volker
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988771/
https://www.ncbi.nlm.nih.gov/pubmed/36633732
http://dx.doi.org/10.1007/s12325-022-02415-8
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author Alqahtani, Saleh A.
Al-Omar, Hussain A.
Alshehri, Ali
Abanumay, Abdulmohsen
Alabdulkarim, Hana
Alrumaih, Ali
Eldin, Mahmoud S.
Schnecke, Volker
author_facet Alqahtani, Saleh A.
Al-Omar, Hussain A.
Alshehri, Ali
Abanumay, Abdulmohsen
Alabdulkarim, Hana
Alrumaih, Ali
Eldin, Mahmoud S.
Schnecke, Volker
author_sort Alqahtani, Saleh A.
collection PubMed
description BACKGROUND: Obesity and its complications are associated with morbidity, mortality and high economic cost in Saudi Arabia. Estimating this impact at the population level and potential benefits to be gained from obesity reduction is vital to underpin policy initiatives to prevent disease risks. METHODS: We combined data in an adapted version of the value of weight loss simulation model, to predict reductions in complication rates and cost savings achievable with 15% weight loss in Saudi Arabia over 10 years. To obtain model inputs, we conducted a systematic literature review (SLR) to identify data on the prevalence of obesity and its complications in Saudi Arabia, and surveyed specialist physicians and hospital administrators in public (governmental) and private healthcare sectors. We used combinations of age, sex, obesity and type 2 diabetes (T2D) rates in Saudi Arabia to sample a United Kingdom (UK) cohort, creating a synthetic Saudi Arabia cohort expected to be representative of the population. RESULTS: The synthetic Saudi Arabia cohort reflected expected comorbidity prevalences in the population, with a higher estimated prevalence of T2D, hypertension and dyslipidaemia than the UK cohort in all age groups. For 100,000 people with body mass index 30–50 kg/m(2), it was estimated that 15% weight loss would lead to a 53.9% reduction in obstructive sleep apnoea, a 37.4% reduction in T2D and an 18.8% reduction in asthma. Estimated overall cost savings amounted to 1.026 billion Saudi Arabian Riyals; the largest contributors were reductions in T2D (30% of total cost savings for year 10), dyslipidaemia (26%) and hypertension (19%). CONCLUSIONS: Sustained weight loss could significantly alleviate the burden of obesity-related complications in Saudi Arabia. Adopting obesity reduction as a major policy aim, and ensuring access to support and treatment should form an important part of the transformation of the healthcare system, as set out under ‘Vision 2030’. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12325-022-02415-8.
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spelling pubmed-99887712023-03-08 Obesity Burden and Impact of Weight Loss in Saudi Arabia: A Modelling Study Alqahtani, Saleh A. Al-Omar, Hussain A. Alshehri, Ali Abanumay, Abdulmohsen Alabdulkarim, Hana Alrumaih, Ali Eldin, Mahmoud S. Schnecke, Volker Adv Ther Original Research BACKGROUND: Obesity and its complications are associated with morbidity, mortality and high economic cost in Saudi Arabia. Estimating this impact at the population level and potential benefits to be gained from obesity reduction is vital to underpin policy initiatives to prevent disease risks. METHODS: We combined data in an adapted version of the value of weight loss simulation model, to predict reductions in complication rates and cost savings achievable with 15% weight loss in Saudi Arabia over 10 years. To obtain model inputs, we conducted a systematic literature review (SLR) to identify data on the prevalence of obesity and its complications in Saudi Arabia, and surveyed specialist physicians and hospital administrators in public (governmental) and private healthcare sectors. We used combinations of age, sex, obesity and type 2 diabetes (T2D) rates in Saudi Arabia to sample a United Kingdom (UK) cohort, creating a synthetic Saudi Arabia cohort expected to be representative of the population. RESULTS: The synthetic Saudi Arabia cohort reflected expected comorbidity prevalences in the population, with a higher estimated prevalence of T2D, hypertension and dyslipidaemia than the UK cohort in all age groups. For 100,000 people with body mass index 30–50 kg/m(2), it was estimated that 15% weight loss would lead to a 53.9% reduction in obstructive sleep apnoea, a 37.4% reduction in T2D and an 18.8% reduction in asthma. Estimated overall cost savings amounted to 1.026 billion Saudi Arabian Riyals; the largest contributors were reductions in T2D (30% of total cost savings for year 10), dyslipidaemia (26%) and hypertension (19%). CONCLUSIONS: Sustained weight loss could significantly alleviate the burden of obesity-related complications in Saudi Arabia. Adopting obesity reduction as a major policy aim, and ensuring access to support and treatment should form an important part of the transformation of the healthcare system, as set out under ‘Vision 2030’. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12325-022-02415-8. Springer Healthcare 2023-01-12 2023 /pmc/articles/PMC9988771/ /pubmed/36633732 http://dx.doi.org/10.1007/s12325-022-02415-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Alqahtani, Saleh A.
Al-Omar, Hussain A.
Alshehri, Ali
Abanumay, Abdulmohsen
Alabdulkarim, Hana
Alrumaih, Ali
Eldin, Mahmoud S.
Schnecke, Volker
Obesity Burden and Impact of Weight Loss in Saudi Arabia: A Modelling Study
title Obesity Burden and Impact of Weight Loss in Saudi Arabia: A Modelling Study
title_full Obesity Burden and Impact of Weight Loss in Saudi Arabia: A Modelling Study
title_fullStr Obesity Burden and Impact of Weight Loss in Saudi Arabia: A Modelling Study
title_full_unstemmed Obesity Burden and Impact of Weight Loss in Saudi Arabia: A Modelling Study
title_short Obesity Burden and Impact of Weight Loss in Saudi Arabia: A Modelling Study
title_sort obesity burden and impact of weight loss in saudi arabia: a modelling study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988771/
https://www.ncbi.nlm.nih.gov/pubmed/36633732
http://dx.doi.org/10.1007/s12325-022-02415-8
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