The societal cost of modifiable risk factors in Singapore
Singapore is one of the most rapidly ageing populations in the world. Nearly half of all disease burdens in Singapore are attributable to modifiable risk factors. This indicates that many illnesses are preventable by modifying behaviours such as increasing physical activity levels or maintaining a h...
Saved in:
Published in | BMC public health Vol. 23; no. 1; p. 1285 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
England
BioMed Central Ltd
04.07.2023
BioMed Central BMC |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Singapore is one of the most rapidly ageing populations in the world. Nearly half of all disease burdens in Singapore are attributable to modifiable risk factors. This indicates that many illnesses are preventable by modifying behaviours such as increasing physical activity levels or maintaining a healthy diet. Prior cost-of-illness studies have estimated the cost of selected modifiable risk factors. However, no local study has compared costs between groups of modifiable risks. This study aims to estimate the societal cost attributable to a comprehensive list of modifiable risks in Singapore.
Our study builds on the comparative risk assessment framework from the Global Burden of Disease (GBD) 2019 study. A top-down prevalence-based cost-of-illness approach was undertaken to estimate the societal cost of modifiable risks in 2019. These include healthcare costs from inpatient hospitalisation and productivity losses from absenteeism and premature mortality.
Metabolic risks had the highest total cost of US$1.62 billion (95% uncertainty interval [UI] US$1.51-1.84 billion), followed by lifestyle risks of US$1.40 billion (95% UI US$1.36-1.66 billion) and substance risks of US$1.15 billion (95% UI US$1.10-1.24 billion). Across the risk factors, the costs were driven by productivity losses, heavily skewed towards the older working-age group and among males. Most of the costs were driven by cardiovascular diseases.
This study provides evidence of the high societal cost of modifiable risks and highlights the importance of developing holistic public health promotion programmes. As modifiable risks often do not occur in isolation, implementing effective population-based programmes targeting multiple modifiable risks has a strong potential to manage the cost of the rising disease burden in Singapore. |
---|---|
AbstractList | Singapore is one of the most rapidly ageing populations in the world. Nearly half of all disease burdens in Singapore are attributable to modifiable risk factors. This indicates that many illnesses are preventable by modifying behaviours such as increasing physical activity levels or maintaining a healthy diet. Prior cost-of-illness studies have estimated the cost of selected modifiable risk factors. However, no local study has compared costs between groups of modifiable risks. This study aims to estimate the societal cost attributable to a comprehensive list of modifiable risks in Singapore.
Our study builds on the comparative risk assessment framework from the Global Burden of Disease (GBD) 2019 study. A top-down prevalence-based cost-of-illness approach was undertaken to estimate the societal cost of modifiable risks in 2019. These include healthcare costs from inpatient hospitalisation and productivity losses from absenteeism and premature mortality.
Metabolic risks had the highest total cost of US$1.62 billion (95% uncertainty interval [UI] US$1.51-1.84 billion), followed by lifestyle risks of US$1.40 billion (95% UI US$1.36-1.66 billion) and substance risks of US$1.15 billion (95% UI US$1.10-1.24 billion). Across the risk factors, the costs were driven by productivity losses, heavily skewed towards the older working-age group and among males. Most of the costs were driven by cardiovascular diseases.
This study provides evidence of the high societal cost of modifiable risks and highlights the importance of developing holistic public health promotion programmes. As modifiable risks often do not occur in isolation, implementing effective population-based programmes targeting multiple modifiable risks has a strong potential to manage the cost of the rising disease burden in Singapore. Background Singapore is one of the most rapidly ageing populations in the world. Nearly half of all disease burdens in Singapore are attributable to modifiable risk factors. This indicates that many illnesses are preventable by modifying behaviours such as increasing physical activity levels or maintaining a healthy diet. Prior cost-of-illness studies have estimated the cost of selected modifiable risk factors. However, no local study has compared costs between groups of modifiable risks. This study aims to estimate the societal cost attributable to a comprehensive list of modifiable risks in Singapore. Methods Our study builds on the comparative risk assessment framework from the Global Burden of Disease (GBD) 2019 study. A top-down prevalence-based cost-of-illness approach was undertaken to estimate the societal cost of modifiable risks in 2019. These include healthcare costs from inpatient hospitalisation and productivity losses from absenteeism and premature mortality. Results Metabolic risks had the highest total cost of US$1.62 billion (95% uncertainty interval [UI] US$1.51-1.84 billion), followed by lifestyle risks of US$1.40 billion (95% UI US$1.36--1.66 billion) and substance risks of US$1.15 billion (95% UI US$1.10--1.24 billion). Across the risk factors, the costs were driven by productivity losses, heavily skewed towards the older working-age group and among males. Most of the costs were driven by cardiovascular diseases. Conclusion This study provides evidence of the high societal cost of modifiable risks and highlights the importance of developing holistic public health promotion programmes. As modifiable risks often do not occur in isolation, implementing effective population-based programmes targeting multiple modifiable risks has a strong potential to manage the cost of the rising disease burden in Singapore. Keywords: Modifiable risk factors, Societal cost, Population attributable fraction, Global Burden of Disease BACKGROUNDSingapore is one of the most rapidly ageing populations in the world. Nearly half of all disease burdens in Singapore are attributable to modifiable risk factors. This indicates that many illnesses are preventable by modifying behaviours such as increasing physical activity levels or maintaining a healthy diet. Prior cost-of-illness studies have estimated the cost of selected modifiable risk factors. However, no local study has compared costs between groups of modifiable risks. This study aims to estimate the societal cost attributable to a comprehensive list of modifiable risks in Singapore.METHODSOur study builds on the comparative risk assessment framework from the Global Burden of Disease (GBD) 2019 study. A top-down prevalence-based cost-of-illness approach was undertaken to estimate the societal cost of modifiable risks in 2019. These include healthcare costs from inpatient hospitalisation and productivity losses from absenteeism and premature mortality.RESULTSMetabolic risks had the highest total cost of US$1.62 billion (95% uncertainty interval [UI] US$1.51-1.84 billion), followed by lifestyle risks of US$1.40 billion (95% UI US$1.36-1.66 billion) and substance risks of US$1.15 billion (95% UI US$1.10-1.24 billion). Across the risk factors, the costs were driven by productivity losses, heavily skewed towards the older working-age group and among males. Most of the costs were driven by cardiovascular diseases.CONCLUSIONThis study provides evidence of the high societal cost of modifiable risks and highlights the importance of developing holistic public health promotion programmes. As modifiable risks often do not occur in isolation, implementing effective population-based programmes targeting multiple modifiable risks has a strong potential to manage the cost of the rising disease burden in Singapore. Abstract Background Singapore is one of the most rapidly ageing populations in the world. Nearly half of all disease burdens in Singapore are attributable to modifiable risk factors. This indicates that many illnesses are preventable by modifying behaviours such as increasing physical activity levels or maintaining a healthy diet. Prior cost-of-illness studies have estimated the cost of selected modifiable risk factors. However, no local study has compared costs between groups of modifiable risks. This study aims to estimate the societal cost attributable to a comprehensive list of modifiable risks in Singapore. Methods Our study builds on the comparative risk assessment framework from the Global Burden of Disease (GBD) 2019 study. A top-down prevalence-based cost-of-illness approach was undertaken to estimate the societal cost of modifiable risks in 2019. These include healthcare costs from inpatient hospitalisation and productivity losses from absenteeism and premature mortality. Results Metabolic risks had the highest total cost of US$1.62 billion (95% uncertainty interval [UI] US$1.51–1.84 billion), followed by lifestyle risks of US$1.40 billion (95% UI US$1.36—1.66 billion) and substance risks of US$1.15 billion (95% UI US$1.10—1.24 billion). Across the risk factors, the costs were driven by productivity losses, heavily skewed towards the older working-age group and among males. Most of the costs were driven by cardiovascular diseases. Conclusion This study provides evidence of the high societal cost of modifiable risks and highlights the importance of developing holistic public health promotion programmes. As modifiable risks often do not occur in isolation, implementing effective population-based programmes targeting multiple modifiable risks has a strong potential to manage the cost of the rising disease burden in Singapore. Singapore is one of the most rapidly ageing populations in the world. Nearly half of all disease burdens in Singapore are attributable to modifiable risk factors. This indicates that many illnesses are preventable by modifying behaviours such as increasing physical activity levels or maintaining a healthy diet. Prior cost-of-illness studies have estimated the cost of selected modifiable risk factors. However, no local study has compared costs between groups of modifiable risks. This study aims to estimate the societal cost attributable to a comprehensive list of modifiable risks in Singapore. Our study builds on the comparative risk assessment framework from the Global Burden of Disease (GBD) 2019 study. A top-down prevalence-based cost-of-illness approach was undertaken to estimate the societal cost of modifiable risks in 2019. These include healthcare costs from inpatient hospitalisation and productivity losses from absenteeism and premature mortality. Metabolic risks had the highest total cost of US$1.62 billion (95% uncertainty interval [UI] US$1.51-1.84 billion), followed by lifestyle risks of US$1.40 billion (95% UI US$1.36--1.66 billion) and substance risks of US$1.15 billion (95% UI US$1.10--1.24 billion). Across the risk factors, the costs were driven by productivity losses, heavily skewed towards the older working-age group and among males. Most of the costs were driven by cardiovascular diseases. This study provides evidence of the high societal cost of modifiable risks and highlights the importance of developing holistic public health promotion programmes. As modifiable risks often do not occur in isolation, implementing effective population-based programmes targeting multiple modifiable risks has a strong potential to manage the cost of the rising disease burden in Singapore. |
ArticleNumber | 1285 |
Audience | Academic |
Author | Chen, Cynthia Ma, Stefan Chow, Wai Leng Lim, Julian Akksilp, Katika Tan, Vanessa |
Author_xml | – sequence: 1 givenname: Vanessa surname: Tan fullname: Tan, Vanessa organization: Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, #09-01T, Singapore, 117549, Singapore – sequence: 2 givenname: Julian surname: Lim fullname: Lim, Julian organization: Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, #09-01T, Singapore, 117549, Singapore – sequence: 3 givenname: Katika surname: Akksilp fullname: Akksilp, Katika organization: Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, #09-01T, Singapore, 117549, Singapore – sequence: 4 givenname: Wai Leng surname: Chow fullname: Chow, Wai Leng organization: Epidemiology & Disease Control Division, Ministry of Health, Singapore, Singapore – sequence: 5 givenname: Stefan surname: Ma fullname: Ma, Stefan organization: Epidemiology & Disease Control Division, Ministry of Health, Singapore, Singapore – sequence: 6 givenname: Cynthia surname: Chen fullname: Chen, Cynthia email: ephchc@nus.edu.sg, ephchc@nus.edu.sg, ephchc@nus.edu.sg organization: Department of Non-Communicable Disease Epidemiology, The London School of Hygiene & Tropical Medicine, London, UK. ephchc@nus.edu.sg |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37403019$$D View this record in MEDLINE/PubMed |
BookMark | eNptkk1LHTEUhkOx1I_2D3QhA27cjM13MisRsVUQXNSuw5l8XGNnJtdkrtB_3-ioeEGySDh534dzkncf7Uxp8gh9J_iEEC1_FEK17lpMWUsk6XRLP6E9whVpKRd65915F-2Xco8xUVrQL2iXKY4ZJt0e6m7vfFOSjX6GobGpzE0KzZhcDBH6wTc5lr9NADunXJo4Nb_jtIJ1yv4r-hxgKP7by36A_vy8uD2_bK9vfl2dn123VjA5t9wCBSkp6SWXhIsQuFJUdUwxRjxmXjirGA5OaWkF5j0X1MkgVQ8cWyfYAbpauC7BvVnnOEL-ZxJE81xIeWUgz9EO3gC3FHMlRfCOc0yhw-B6LLSTYJ3jlXW6sNabfvTO-mnOMGxBt2-meGdW6dEQzOqLC1IJxy-EnB42vsxmjMX6YYDJp00xVDNWB-2kqtKjRbqC2lucQqpI-yQ3Z0oIrSUXXVWdfKCqy_kx2vrhIdb6loEuBptTKdmHt_YJNk-5MEsuTM2Fec6FodV0-H7wN8trENh_Xdey0w |
CitedBy_id | crossref_primary_10_3389_fpubh_2023_1227146 |
Cites_doi | 10.1016/S0140-6736(18)32279-7 10.1017/S0007114522001568 10.1155/2020/6478393 10.4103/2230-8210.93742 10.1016/j.ypmed.2006.10.006 10.1161/JAHA.119.014381 10.1183/13993003.00359-2016 10.1136/bmjopen-2016-014377 10.1186/s12889-016-3373-6 10.3390/ijerph17061901 10.1111/j.1467-9280.2008.02196.x 10.1016/j.ypmed.2015.07.003 10.1371/journal.pone.0196333 10.1007/s10198-021-01345-6 10.1016/S0140-6736(16)30383-X 10.1016/S2468-2667(20)30203-6 10.1111/ijs.12576 10.1016/j.annepidem.2014.11.015 10.1371/journal.pone.0122795 10.1016/j.amepre.2003.12.007 10.1136/tobaccocontrol-2016-053305 10.1016/S0140-6736(17)32366-8 10.1016/S0140-6736(04)17018-9 10.1186/1471-2458-10-789 10.24095/hpcdp.33.4.05 10.1136/bmjgh-2018-001144 10.1016/j.jpeds.2019.12.060 10.1371/journal.pone.0250282 10.1016/S0140-6736(20)30925-9 10.1111/j.1445-5994.1999.tb00688.x 10.3350/cmh.2014.20.4.327 10.1161/CIRCULATIONAHA.105.169404 10.1016/S0140-6736(20)30752-2 |
ContentType | Journal Article |
Copyright | 2023. The Author(s). COPYRIGHT 2023 BioMed Central Ltd. The Author(s) 2023 |
Copyright_xml | – notice: 2023. The Author(s). – notice: COPYRIGHT 2023 BioMed Central Ltd. – notice: The Author(s) 2023 |
DBID | CGR CUY CVF ECM EIF NPM AAYXX CITATION 7X8 5PM DOA |
DOI | 10.1186/s12889-023-16198-2 |
DatabaseName | Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed CrossRef MEDLINE - Academic PubMed Central (Full Participant titles) Directory of Open Access Journals |
DatabaseTitle | MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) CrossRef MEDLINE - Academic |
DatabaseTitleList | MEDLINE MEDLINE - Academic |
Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Public Health |
EISSN | 1471-2458 |
EndPage | 1285 |
ExternalDocumentID | oai_doaj_org_article_a4c204765fed4402a90adb058d6acdd4 A755886459 10_1186_s12889_023_16198_2 37403019 |
Genre | Research Support, Non-U.S. Gov't Journal Article |
GeographicLocations | Singapore |
GeographicLocations_xml | – name: Singapore |
GroupedDBID | --- -A0 0R~ 23N 2WC 2XV 3V. 44B 53G 5VS 6J9 6PF 7X7 7XC 88E 8C1 8FE 8FG 8FH 8FI 8FJ A8Z AAFWJ AAJSJ AAWTL ABDBF ABJCF ABUWG ACGFO ACGFS ACIHN ACIWK ACPRK ACRMQ ADBBV ADINQ ADUKV AEAQA AENEX AFKRA AFPKN AFRAH AHBYD AHMBA AHYZX ALIPV ALMA_UNASSIGNED_HOLDINGS AMKLP AMTXH AN0 AOIJS ATCPS BAPOH BAWUL BCNDV BENPR BFQNJ BGLVJ BHPHI BMC BNQBC BPHCQ BVXVI C24 C6C CCPQU CGR CS3 CUY CVF DIK DU5 E3Z EAD EAP EAS EBD EBLON EBS ECM EIF EMB EMK EMOBN ESTFP ESX F5P FYUFA GROUPED_DOAJ GX1 HCIFZ HMCUK HYE IAO IHR INH INR ITC KQ8 L6V M1P M48 M7S M~E NPM O5R O5S OK1 P2P PATMY PIMPY PQQKQ PROAC PSQYO PTHSS PYCSY RBZ RNS ROL RPM RSV SMD SOJ SV3 TR2 TUS U2A UKHRP W2D WOQ WOW XSB AAYXX CITATION 7X8 5PM |
ID | FETCH-LOGICAL-c536t-4ca2a6621b646145ff47727937331e03e5dc730fd786c504b452d6f67ba40cd53 |
IEDL.DBID | RPM |
ISSN | 1471-2458 |
IngestDate | Tue Oct 22 15:08:28 EDT 2024 Tue Sep 17 21:30:28 EDT 2024 Sat Oct 26 01:16:51 EDT 2024 Tue Nov 19 20:53:20 EST 2024 Wed Nov 13 00:41:47 EST 2024 Fri Nov 22 00:00:01 EST 2024 Wed Oct 16 00:38:19 EDT 2024 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 1 |
Keywords | Global Burden of Disease Societal cost Modifiable risk factors Population attributable fraction |
Language | English |
License | 2023. The Author(s). 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. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c536t-4ca2a6621b646145ff47727937331e03e5dc730fd786c504b452d6f67ba40cd53 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
OpenAccessLink | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318651/ |
PMID | 37403019 |
PQID | 2833646967 |
PQPubID | 23479 |
PageCount | 1 |
ParticipantIDs | doaj_primary_oai_doaj_org_article_a4c204765fed4402a90adb058d6acdd4 pubmedcentral_primary_oai_pubmedcentral_nih_gov_10318651 proquest_miscellaneous_2833646967 gale_infotracmisc_A755886459 gale_infotracacademiconefile_A755886459 crossref_primary_10_1186_s12889_023_16198_2 pubmed_primary_37403019 |
PublicationCentury | 2000 |
PublicationDate | 2023-07-04 |
PublicationDateYYYYMMDD | 2023-07-04 |
PublicationDate_xml | – month: 07 year: 2023 text: 2023-07-04 day: 04 |
PublicationDecade | 2020 |
PublicationPlace | England |
PublicationPlace_xml | – name: England – name: London |
PublicationTitle | BMC public health |
PublicationTitleAlternate | BMC Public Health |
PublicationYear | 2023 |
Publisher | BioMed Central Ltd BioMed Central BMC |
Publisher_xml | – name: BioMed Central Ltd – name: BioMed Central – name: BMC |
References | 16198_CR12 C Jo (16198_CR17) 2014; 20 16198_CR34 16198_CR13 16198_CR35 16198_CR36 16198_CR10 16198_CR11 MC Smith Fawzi (16198_CR26) 2019; 4 Y Yuan (16198_CR33) 2020; 219 M Goodchild (16198_CR4) 2018; 27 T Hu (16198_CR30) 2020; 9 16198_CR39 SL James (16198_CR15) 2018; 392 F-T Chew (16198_CR40) 1999; 29 JL Baker (16198_CR32) 2008; 170 L Tarro (16198_CR37) 2020; 17 AK Rowe (16198_CR23) 2004; 26 CL Odgers (16198_CR31) 2008; 19 L-M Diaz-Gallo (16198_CR7) 2021; 16 C Shuyu Ng (16198_CR41) 2015; 10 CJL Murray (16198_CR2) 2020; 396 KA Donato (16198_CR19) 2005; 112 C Poole (16198_CR20) 2015; 25 D Ding (16198_CR3) 2016; 388 HJ Bolnick (16198_CR5) 2020; 5 B Łyszczarz (16198_CR6) 2022; 23 GBD 2017 Disease and Injury Incidence and Prevalence Collaborators (16198_CR1) 2018; 392 16198_CR27 BP Cher (16198_CR14) 2017; 7 16198_CR28 S Yusuf (16198_CR22) 2004; 364 16198_CR29 N Noble (16198_CR42) 2015; 81 H Krueger (16198_CR24) 2013; 33 W Poortinga (16198_CR43) 2007; 44 H Han (16198_CR44) 2020; 2020 E Gakidou (16198_CR16) 2017; 390 JJ Dalal (16198_CR9) 2012; 16 JRL Lieffers (16198_CR25) 2018; 13 CL Hart (16198_CR8) 2010; 10 J Malhotra (16198_CR21) 2016; 48 N Meader (16198_CR18) 2016; 16 T Vos (16198_CR38) 2020; 396 |
References_xml | – ident: 16198_CR11 – ident: 16198_CR34 – volume: 392 start-page: 1789 issue: 10159 year: 2018 ident: 16198_CR15 publication-title: The Lancet doi: 10.1016/S0140-6736(18)32279-7 contributor: fullname: SL James – ident: 16198_CR13 doi: 10.1017/S0007114522001568 – volume: 2020 start-page: 6478393 year: 2020 ident: 16198_CR44 publication-title: J Diabetes Res doi: 10.1155/2020/6478393 contributor: fullname: H Han – volume: 16 start-page: 240 issue: 2 year: 2012 ident: 16198_CR9 publication-title: Indian J Endocrinol Metab doi: 10.4103/2230-8210.93742 contributor: fullname: JJ Dalal – volume: 44 start-page: 124 issue: 2 year: 2007 ident: 16198_CR43 publication-title: Prev Med doi: 10.1016/j.ypmed.2006.10.006 contributor: fullname: W Poortinga – volume: 9 issue: 7 year: 2020 ident: 16198_CR30 publication-title: J Am Heart Assoc doi: 10.1161/JAHA.119.014381 contributor: fullname: T Hu – volume: 48 start-page: 889 issue: 3 year: 2016 ident: 16198_CR21 publication-title: Eur Respir J doi: 10.1183/13993003.00359-2016 contributor: fullname: J Malhotra – ident: 16198_CR36 – volume: 7 issue: 4 year: 2017 ident: 16198_CR14 publication-title: BMJ Open doi: 10.1136/bmjopen-2016-014377 contributor: fullname: BP Cher – volume: 16 start-page: 657 issue: 1 year: 2016 ident: 16198_CR18 publication-title: BMC Public Health doi: 10.1186/s12889-016-3373-6 contributor: fullname: N Meader – volume: 17 start-page: 1901 issue: 6 year: 2020 ident: 16198_CR37 publication-title: Int J Environ Res Public Health doi: 10.3390/ijerph17061901 contributor: fullname: L Tarro – volume: 170 start-page: 2434 issue: 33 year: 2008 ident: 16198_CR32 publication-title: Ugeskr Laeger contributor: fullname: JL Baker – volume: 19 start-page: 1037 issue: 10 year: 2008 ident: 16198_CR31 publication-title: Psychol Sci doi: 10.1111/j.1467-9280.2008.02196.x contributor: fullname: CL Odgers – volume: 81 start-page: 16 year: 2015 ident: 16198_CR42 publication-title: Prev Med doi: 10.1016/j.ypmed.2015.07.003 contributor: fullname: N Noble – volume: 13 issue: 4 year: 2018 ident: 16198_CR25 publication-title: PLoS ONE doi: 10.1371/journal.pone.0196333 contributor: fullname: JRL Lieffers – volume: 23 start-page: 33 issue: 1 year: 2022 ident: 16198_CR6 publication-title: Eur J Health Econ doi: 10.1007/s10198-021-01345-6 contributor: fullname: B Łyszczarz – ident: 16198_CR27 – volume: 388 start-page: 1311 issue: 10051 year: 2016 ident: 16198_CR3 publication-title: The Lancet doi: 10.1016/S0140-6736(16)30383-X contributor: fullname: D Ding – volume: 5 start-page: e525 issue: 10 year: 2020 ident: 16198_CR5 publication-title: The Lancet Public Health doi: 10.1016/S2468-2667(20)30203-6 contributor: fullname: HJ Bolnick – ident: 16198_CR39 doi: 10.1111/ijs.12576 – volume: 25 start-page: 147 issue: 3 year: 2015 ident: 16198_CR20 publication-title: Ann Epidemiol doi: 10.1016/j.annepidem.2014.11.015 contributor: fullname: C Poole – volume: 10 issue: 3 year: 2015 ident: 16198_CR41 publication-title: PLoS ONE doi: 10.1371/journal.pone.0122795 contributor: fullname: C Shuyu Ng – ident: 16198_CR29 – ident: 16198_CR10 – ident: 16198_CR35 – ident: 16198_CR12 – volume: 26 start-page: 243 issue: 3 year: 2004 ident: 16198_CR23 publication-title: Am J Prev Med doi: 10.1016/j.amepre.2003.12.007 contributor: fullname: AK Rowe – volume: 27 start-page: 58 issue: 1 year: 2018 ident: 16198_CR4 publication-title: Tob Control doi: 10.1136/tobaccocontrol-2016-053305 contributor: fullname: M Goodchild – volume: 390 start-page: 1345 issue: 10100 year: 2017 ident: 16198_CR16 publication-title: The Lancet doi: 10.1016/S0140-6736(17)32366-8 contributor: fullname: E Gakidou – volume: 364 start-page: 937 issue: 9438 year: 2004 ident: 16198_CR22 publication-title: Lancet doi: 10.1016/S0140-6736(04)17018-9 contributor: fullname: S Yusuf – volume: 10 start-page: 789 issue: 1 year: 2010 ident: 16198_CR8 publication-title: BMC Public Health doi: 10.1186/1471-2458-10-789 contributor: fullname: CL Hart – volume: 33 start-page: 236 issue: 4 year: 2013 ident: 16198_CR24 publication-title: Chron Dis Inj Can doi: 10.24095/hpcdp.33.4.05 contributor: fullname: H Krueger – volume: 4 issue: 1 year: 2019 ident: 16198_CR26 publication-title: BMJ Glob Health doi: 10.1136/bmjgh-2018-001144 contributor: fullname: MC Smith Fawzi – ident: 16198_CR28 – volume: 219 start-page: 31 year: 2020 ident: 16198_CR33 publication-title: J Pediatr doi: 10.1016/j.jpeds.2019.12.060 contributor: fullname: Y Yuan – volume: 16 issue: 4 year: 2021 ident: 16198_CR7 publication-title: PLoS ONE doi: 10.1371/journal.pone.0250282 contributor: fullname: L-M Diaz-Gallo – volume: 396 start-page: 1204 issue: 10258 year: 2020 ident: 16198_CR38 publication-title: The Lancet doi: 10.1016/S0140-6736(20)30925-9 contributor: fullname: T Vos – volume: 392 start-page: 1789 issue: 10159 year: 2018 ident: 16198_CR1 publication-title: Lancet doi: 10.1016/S0140-6736(18)32279-7 contributor: fullname: GBD 2017 Disease and Injury Incidence and Prevalence Collaborators – volume: 29 start-page: 228 issue: 2 year: 1999 ident: 16198_CR40 publication-title: Aust N Z J Med doi: 10.1111/j.1445-5994.1999.tb00688.x contributor: fullname: F-T Chew – volume: 20 start-page: 327 issue: 4 year: 2014 ident: 16198_CR17 publication-title: Clin Mol Hepatol doi: 10.3350/cmh.2014.20.4.327 contributor: fullname: C Jo – volume: 112 start-page: 2735 issue: 17 year: 2005 ident: 16198_CR19 publication-title: Circulation doi: 10.1161/CIRCULATIONAHA.105.169404 contributor: fullname: KA Donato – volume: 396 start-page: 1223 issue: 10258 year: 2020 ident: 16198_CR2 publication-title: The Lancet doi: 10.1016/S0140-6736(20)30752-2 contributor: fullname: CJL Murray |
SSID | ssj0017852 |
Score | 2.4559011 |
Snippet | Singapore is one of the most rapidly ageing populations in the world. Nearly half of all disease burdens in Singapore are attributable to modifiable risk... Background Singapore is one of the most rapidly ageing populations in the world. Nearly half of all disease burdens in Singapore are attributable to modifiable... BACKGROUNDSingapore is one of the most rapidly ageing populations in the world. Nearly half of all disease burdens in Singapore are attributable to modifiable... Abstract Background Singapore is one of the most rapidly ageing populations in the world. Nearly half of all disease burdens in Singapore are attributable to... |
SourceID | doaj pubmedcentral proquest gale crossref pubmed |
SourceType | Open Website Open Access Repository Aggregation Database Index Database |
StartPage | 1285 |
SubjectTerms | Analysis Cost of Illness Global Burden of Disease Health Care Costs Health promotion Health risk assessment Humans Male Medical care, Cost of Methods Modifiable risk factors Population attributable fraction Risk Factors Singapore - epidemiology Societal cost |
SummonAdditionalLinks | – databaseName: Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3Ni9UwEA-yJ0HEb6urRBA8SNm-ZPLR4youi6AXXdhbyCe-g6343v7_ziR9yysevHht0pL-fklnks78hrG3IYMdvB_7ADrS0Y3pgx1Vb8cSpYScVGX6y1d9eQWfr9X1Uakviglr8sANuDMPUQxgtCo5AW52_Dj4FAZlk_YxpaYEOojDZmr5f2CsEocUGavPdvgVptAgIXv0cEacGyszVNX6__4mHxmldcDkkQW6eMDuL64jP29Dfsju5OkRu9fO3XhLJ3rMRuSd72ooJvaN827P58J_zmlbtpQlxSmWnC9Vdvh24t-oJjY64fkJu7r49P3jZb-UR-ijknrfQ_TCay02QQMaWVUKoKtMendSbvIgs0oR129JxuqoBgigRNJFm-BhiEnJp-xkmqf8nHFjh-jRs8uxABQz4oOVCeCLgCxy1B17f0DL_WoqGK7uHqx2DVuH2LqKrRMd-0CA3vYkBet6AXl1C6_uX7x27B3R4WidIebRL-kCOGBSrHLnRilrSQqnY6ernrg-4qr5zYFQR00UVDbl-Wbn0LOSCN2oTceeNYJvxywN0GYR77Yr6lcvtW6Ztj-qPDcVzrBabV78DxhesrtU4L4GCMMpO9n_vsmv0A3ah9d1xv8BuSUDig priority: 102 providerName: Directory of Open Access Journals – databaseName: Scholars Portal Journals: Open Access dbid: M48 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LixQxEA7rehFEfNu6SgTBg7T2JJVHH0RWcVmE9aIDewvpPHRAu3VmFvTfW5XuWbdxD147ST--qkpVpevB2LMugW28b-sOdKCjG1N3tlW1bXOQElJUhdInH_XxEj6cqtM9tmt3NAG4udS1o35Sy_W3l79-_n6DAv-6CLzVrza4x1Lgj5A12i8tUv4KuypQM1KI1wn8_atgrBK7xJlL182UU6nh_-9OfUFVzcMoL-ilo5vsxmRQ8sORA26xvdTfZtfH0zg-JhndYS1yA9-UAE2cG4bNlg-Zfx_iKq8od4pThDmfeu_wVc8_UadsRCXdZcuj95_fHddT04Q6KKm3NQQvvNZi0WlA1atyBjSgqQqelIvUyKRiQKnO0VgdVAMdKBF11qbz0ISo5D223w99esC4sU3waO-lkAGyafHGynTgs4AkUtAVe7FDy_0Ya2O44lNY7UZsHWLrCrZOVOwtAXo-k-palwvD-oubxMR5CKIBo1VOEdC19W3jY9coG7UPMULFnhM5HPEDYh78lESAL0x1rNyhUcpaKpBTsYPZTJSaMBt-uiOooyEKNevTcLZxaG9JhK7VpmL3RwKfv7M0QC4krrYz0s8-aj7Sr76Wot3UTsNqtXj4Hw9-xK5RV_sSFQwHbH-7PkuP0fbZdk8KQ_8BRKj_nw priority: 102 providerName: Scholars Portal |
Title | The societal cost of modifiable risk factors in Singapore |
URI | https://www.ncbi.nlm.nih.gov/pubmed/37403019 https://search.proquest.com/docview/2833646967 https://pubmed.ncbi.nlm.nih.gov/PMC10318651 https://doaj.org/article/a4c204765fed4402a90adb058d6acdd4 |
Volume | 23 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1La9wwEBZJeimU0ne3TRcVCj0UZ73W6OFjdsk2FDaEtIGlFyHr0Rq6dshu_n9Hsh1ieutlDpZk5BmNZiR_M0PIp8qDyo0pswqEjVc3MqtUyTNVBssYeMeTpNcX4vwavm345oCIIRYmgfZtVZ80f7YnTf07YStvtnY24MRml-tlLE2gBJ_PDskh2t_hjN7_O5CKF0N4jBKzHe7AERZUsAy9mxLXxcgEpUz9_-7HDwzSGCz5wPqsnpGnvdtIT7vpPScHvnlBnnR3brQLJXpJSpQ53SUYJva17W5P20C3ratDHSOkaMSR077CDq0b-j3Ww0YH3L8i16uzH8vzrC-NkFnOxD4DawojRDGvBKCB5SEAuskx1x1jc58zz51F3Q1OKmF5DhXwwokgZGUgt46z1-SoaRv_llCpcmvQq_M2AARZ4ou5rMCEAnzhrZiQLwO39E2XAUOnk4MSuuOtRt7qxFtdTMgiMvS-Z8xenR60t790L0NtwBY5SMGDd4AHWFPmxlU5V04Y6xxMyOcoDh11DHluTR8qgBOO2ar0qeRcqZgGZ0KORz1RN-yo-eMgUB2bIqCs8e3dTqNXxZB1pZAT8qYT8P2cmYR4UMTRaiT60UeNW3ClptTcw8p89_9D35PHsaR9ggTDMTna3975D-j47KsprvaNRKqW80hXX6fk0eLs4vJqmq4SkK5BIb1a_JwmnfgLB4AJBg |
link.rule.ids | 230,314,727,780,784,864,885,2102,24318,27924,27925,31720,33267,33374,33745,53791,53793 |
linkProvider | National Library of Medicine |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwELZKOYBUId5dKGAkJA4o3Ww8fuRYKqoFuhUSrdSb5SdEYpOqu_3_jJ2kasSNa2xHzjw8M843M4R8sAFUaUxdWBAuXd3IwqqaF6qOjjEInmdOr87E8gK-XfLLHSLGXJgM2ne2OWz_rA_b5nfGVl6t3XzEic1_rI5TawIl-GJ-j9znTNaLMUof_h5IxasxQUaJ-QbP4AQMqliB_k2NkjExQrlW_78n8h2TNIVL3rE_J4_Jo8FxpEf9Bp-QndA-JXv9rRvtk4mekRq5TjcZiIlzXbfZ0i7Sdeeb2KQcKZqQ5HTosUOblv5MHbHRBQ_PycXJl_PjZTE0RygcZ2JbgDOVEaJaWAFoYnmMgI5yqnbH2CKULHDvUHujl0o4XoIFXnkRhbQGSuc5e0F2264N-4RKVTqDfl1wESDKGl_MpQUTKwhVcGJGPo3U0ld9DQydYwcldE9bjbTVmba6mpHPiaC3M1P96vygu_6lBy5qA64qQQoegwcMYU1dGm9LrrwwznuYkY-JHTppGdLcmSFZADec6lXpI8m5UqkQzowcTGaidrjJ8PuRoToNJUhZG7qbjUa_iiHpaiFn5GXP4Ns9MwkpVMTVasL6yUdNR1BWc3HuUTZf_f_Sd-TB8nx1qk-_nn1_TR6mBvcZIAwHZHd7fRPeoBu0tW-zzP8F1yUFSQ |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Zb9QwELagSAgJVZwlUMBISDygNNl4fOSxFFblaFUJKvXNcnxAJDZZdbf_v2MnqRrxxmtsR84cnhnnmxlC3jceVGlMnTcgbLy6kXmjap6rOljGwDueOH1yKo7P4dsFvxhRlZsRVtnZpj3o_q4OuvZPwlauV7aYcGLF2clRbE2gBF8UaxeKu-QeZyhlU6Q-_kGQildTkowSxQbP4QgOqliOPk6N0jEzRKle_7-n8i2zNIdM3rJBy0dkd3Qe6eGwycfkju-ekIfDzRsdEoqekho5TzcJjIlzbb_Z0j7QVe_a0MY8KRrR5HTss0Pbjv6MXbHRDffPyPnyy6-j43xskJBbzsQ2B2sqI0S1aASgmeUhADrLseIdYwtfMs-dRQ0OTipheQkN8MqJIGRjoLSOs-dkp-s7_4JQqUpr0LfzNgAEWeOLuWzAhAp85a3IyMeJWno91MHQKX5QQg-01UhbnWirq4x8igS9mRlrWKcH_eVvPXJSG7BVCVLw4B1gGGvq0rim5MoJY52DjHyI7NBR05Dm1owJA7jhWLNKH0rOlYrFcDKyP5uJGmJnw-8mhuo4FGFlne-vNhp9K4akq4XMyN7A4Js9MwkxXMTVasb62UfNR1BeU4HuST5f_v_St-T-2eel_vH19Psr8iD2uE8YYdgnO9vLK_8aPaFt8yaJ_DWa0QZc |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=The+societal+cost+of+modifiable+risk+factors+in+Singapore&rft.jtitle=BMC+public+health&rft.au=Tan%2C+Vanessa&rft.au=Lim%2C+Julian&rft.au=Akksilp%2C+Katika&rft.au=Chow%2C+Wai+Leng&rft.date=2023-07-04&rft.eissn=1471-2458&rft.volume=23&rft.issue=1&rft.spage=1285&rft.epage=1285&rft_id=info:doi/10.1186%2Fs12889-023-16198-2&rft.externalDBID=NO_FULL_TEXT |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1471-2458&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1471-2458&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1471-2458&client=summon |