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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...
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Published in: | BMC public health 2023-07, Vol.23 (1), p.1285-1285, Article 1285 |
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description | 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. |
doi_str_mv | 10.1186/s12889-023-16198-2 |
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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.</description><identifier>ISSN: 1471-2458</identifier><identifier>EISSN: 1471-2458</identifier><identifier>DOI: 10.1186/s12889-023-16198-2</identifier><identifier>PMID: 37403019</identifier><language>eng</language><publisher>England: BioMed Central</publisher><subject>Cost of Illness ; Global Burden of Disease ; Health Care Costs ; Humans ; Male ; Modifiable risk factors ; Population attributable fraction ; Risk Factors ; Singapore - epidemiology ; Societal cost</subject><ispartof>BMC public health, 2023-07, Vol.23 (1), p.1285-1285, Article 1285</ispartof><rights>2023. The Author(s).</rights><rights>The Author(s) 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c469t-a3e871715e93c7a5ffd194d9f3ad19420c935de15855b20f057ca8823fde844f3</citedby><cites>FETCH-LOGICAL-c469t-a3e871715e93c7a5ffd194d9f3ad19420c935de15855b20f057ca8823fde844f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318651/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318651/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,36990,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37403019$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tan, Vanessa</creatorcontrib><creatorcontrib>Lim, Julian</creatorcontrib><creatorcontrib>Akksilp, Katika</creatorcontrib><creatorcontrib>Chow, Wai Leng</creatorcontrib><creatorcontrib>Ma, Stefan</creatorcontrib><creatorcontrib>Chen, Cynthia</creatorcontrib><title>The societal cost of modifiable risk factors in Singapore</title><title>BMC public health</title><addtitle>BMC Public Health</addtitle><description>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.</description><subject>Cost of Illness</subject><subject>Global Burden of Disease</subject><subject>Health Care Costs</subject><subject>Humans</subject><subject>Male</subject><subject>Modifiable risk factors</subject><subject>Population attributable fraction</subject><subject>Risk Factors</subject><subject>Singapore - epidemiology</subject><subject>Societal cost</subject><issn>1471-2458</issn><issn>1471-2458</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpVkU1PHDEMQKOqqFDgD_RQzbGXaeN8TJJTVaEWkJB6KJwjb-IsobOTbTKL1H_fgaUITrES-zn2Y-wD8M8AdvjSQFjrei5kDwM424s37AiUgV4obd--iA_Z-9buOAdjtXjHDqVRXHJwR8xd31LXSsg049iF0uaupG5TYk4ZVyN1NbffXcIwl9q6PHW_8rTGbal0wg4Sjo1On85jdvPj-_XZRX_18_zy7NtVH9Tg5h4lWQMGNDkZDOqUIjgVXZL4EAgenNSRQFutV4Inrk1Aa4VMkaxSSR6zyz03Frzz25o3WP_6gtk_XpS69ljnHEbyqILgygw6UVSKC3Qc44prGwcMMaqF9XXP2u5WG4qBprni-Ar6-mXKt35d7j1wuWxcw0L49ESo5c-O2uw3uQUaR5yo7JoXVsphGXwwS6rYp4ZaWquUnvsA9w8C_V6gXwT6R4FeLEUfX_7wueS_MfkPBHuWYw</recordid><startdate>20230704</startdate><enddate>20230704</enddate><creator>Tan, Vanessa</creator><creator>Lim, Julian</creator><creator>Akksilp, Katika</creator><creator>Chow, Wai Leng</creator><creator>Ma, Stefan</creator><creator>Chen, Cynthia</creator><general>BioMed Central</general><general>BMC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20230704</creationdate><title>The societal cost of modifiable risk factors in Singapore</title><author>Tan, Vanessa ; Lim, Julian ; Akksilp, Katika ; Chow, Wai Leng ; Ma, Stefan ; Chen, Cynthia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c469t-a3e871715e93c7a5ffd194d9f3ad19420c935de15855b20f057ca8823fde844f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Cost of Illness</topic><topic>Global Burden of Disease</topic><topic>Health Care Costs</topic><topic>Humans</topic><topic>Male</topic><topic>Modifiable risk factors</topic><topic>Population attributable fraction</topic><topic>Risk Factors</topic><topic>Singapore - epidemiology</topic><topic>Societal cost</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tan, Vanessa</creatorcontrib><creatorcontrib>Lim, Julian</creatorcontrib><creatorcontrib>Akksilp, Katika</creatorcontrib><creatorcontrib>Chow, Wai Leng</creatorcontrib><creatorcontrib>Ma, Stefan</creatorcontrib><creatorcontrib>Chen, Cynthia</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tan, Vanessa</au><au>Lim, Julian</au><au>Akksilp, Katika</au><au>Chow, Wai Leng</au><au>Ma, Stefan</au><au>Chen, Cynthia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The societal cost of modifiable risk factors in Singapore</atitle><jtitle>BMC public health</jtitle><addtitle>BMC Public Health</addtitle><date>2023-07-04</date><risdate>2023</risdate><volume>23</volume><issue>1</issue><spage>1285</spage><epage>1285</epage><pages>1285-1285</pages><artnum>1285</artnum><issn>1471-2458</issn><eissn>1471-2458</eissn><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.</abstract><cop>England</cop><pub>BioMed Central</pub><pmid>37403019</pmid><doi>10.1186/s12889-023-16198-2</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Cost of Illness Global Burden of Disease Health Care Costs Humans Male Modifiable risk factors Population attributable fraction Risk Factors Singapore - epidemiology Societal cost |
title | The societal cost of modifiable risk factors in Singapore |
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