OP21 An Economic Evaluation of Non-Communicable Diseases in Brazil
Background Non-communicable diseases are increasingly recognised as the major health issue facing many governments. Brazil has observed a rapid change in the weight profiles of its population, with the prevalence of obesity and overweight increasing partly as a result of the well documented effect o...
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Veröffentlicht in: | Journal of epidemiology and community health (1979) 2012-09, Vol.66 (Suppl 1), p.A8-A9 |
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description | Background Non-communicable diseases are increasingly recognised as the major health issue facing many governments. Brazil has observed a rapid change in the weight profiles of its population, with the prevalence of obesity and overweight increasing partly as a result of the well documented effect of the nutrition transition. Obesity-related diseases are placing a substantial health and economic burden on the country. While the problem has been recognized, the implications of current trends on future overweight and obesity rates, BMI-related disease and costs associated with that disease burden have not been considered. Methods A previously developed micro-simulation model was used to project through the year 2050 the extent of obesity, BMI related diseases, and associated health care costs in Brazil. A Monte-Carlo simulation method has been utilized to simulated BMI related diseases. In total, thirteen conditions were modelled: coronary heart disease, stroke, hypertension, diabetes, knee osteoarthritis, and eight cancers (breast, kidney, colorectal, oesophageal, endometrial, gallbladder, liver and pancreas). The authors also projected a possible decrease in the BMI and its impact on health and health care costs. Results In 2010, nearly 45% of the Brazilian male population were overweight or obese (BMI ≥25kg/m²), but by 2050 we project rates as high as 95%. A slightly less pessimistic picture is observed among females: 42% in 2010 increasing to 52% in 2050. The disease incidence figures increase considerably due to obesity patterns. However, BMI reduction across the population will alter these disease projections. Nearly three million diabetes cases and USD 388 million in health care expenditure can be avoided with a five percent reduction in BMI alone by 2050. Conclusion Obesity rates are rapidly increasing in Brazil creating a high burden of diseases and associated health care costs. However, even a one and percent reduction in prevalence rates will substantially reduce the disease and cost burden. Though some steps have been taken for tackling the obesity problem, Brazil still needs a strong, comprehensive policy involving multiple agencies and institutions with strong leadership. |
doi_str_mv | 10.1136/jech-2012-201753.021 |
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Brazil has observed a rapid change in the weight profiles of its population, with the prevalence of obesity and overweight increasing partly as a result of the well documented effect of the nutrition transition. Obesity-related diseases are placing a substantial health and economic burden on the country. While the problem has been recognized, the implications of current trends on future overweight and obesity rates, BMI-related disease and costs associated with that disease burden have not been considered. Methods A previously developed micro-simulation model was used to project through the year 2050 the extent of obesity, BMI related diseases, and associated health care costs in Brazil. A Monte-Carlo simulation method has been utilized to simulated BMI related diseases. In total, thirteen conditions were modelled: coronary heart disease, stroke, hypertension, diabetes, knee osteoarthritis, and eight cancers (breast, kidney, colorectal, oesophageal, endometrial, gallbladder, liver and pancreas). The authors also projected a possible decrease in the BMI and its impact on health and health care costs. Results In 2010, nearly 45% of the Brazilian male population were overweight or obese (BMI ≥25kg/m²), but by 2050 we project rates as high as 95%. A slightly less pessimistic picture is observed among females: 42% in 2010 increasing to 52% in 2050. The disease incidence figures increase considerably due to obesity patterns. However, BMI reduction across the population will alter these disease projections. Nearly three million diabetes cases and USD 388 million in health care expenditure can be avoided with a five percent reduction in BMI alone by 2050. Conclusion Obesity rates are rapidly increasing in Brazil creating a high burden of diseases and associated health care costs. However, even a one and percent reduction in prevalence rates will substantially reduce the disease and cost burden. Though some steps have been taken for tackling the obesity problem, Brazil still needs a strong, comprehensive policy involving multiple agencies and institutions with strong leadership.</description><identifier>ISSN: 0143-005X</identifier><identifier>EISSN: 1470-2738</identifier><identifier>DOI: 10.1136/jech-2012-201753.021</identifier><identifier>CODEN: JECHDR</identifier><language>eng</language><publisher>London: BMJ Publishing Group Ltd</publisher><subject>Cardiovascular diseases ; Economics ; Health care ; Hypertension ; Monte Carlo simulation ; Obesity ; Osteoarthritis</subject><ispartof>Journal of epidemiology and community health (1979), 2012-09, Vol.66 (Suppl 1), p.A8-A9</ispartof><rights>2012, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.</rights><rights>Copyright: 2012 (c) 2012, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://jech.bmj.com/content/66/Suppl_1/A8.3.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttps://jech.bmj.com/content/66/Suppl_1/A8.3.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,314,778,782,3185,23554,27907,27908,77351,77382</link.rule.ids></links><search><creatorcontrib>Rtveladze, K</creatorcontrib><creatorcontrib>Marsh, T</creatorcontrib><creatorcontrib>Brown, M</creatorcontrib><creatorcontrib>Webber, L</creatorcontrib><creatorcontrib>Kilpi, F</creatorcontrib><creatorcontrib>McPherson, F</creatorcontrib><creatorcontrib>Levy, D</creatorcontrib><creatorcontrib>Conde, W</creatorcontrib><creatorcontrib>Monteiro, C</creatorcontrib><title>OP21 An Economic Evaluation of Non-Communicable Diseases in Brazil</title><title>Journal of epidemiology and community health (1979)</title><addtitle>J Epidemiol Community Health</addtitle><description>Background Non-communicable diseases are increasingly recognised as the major health issue facing many governments. Brazil has observed a rapid change in the weight profiles of its population, with the prevalence of obesity and overweight increasing partly as a result of the well documented effect of the nutrition transition. Obesity-related diseases are placing a substantial health and economic burden on the country. While the problem has been recognized, the implications of current trends on future overweight and obesity rates, BMI-related disease and costs associated with that disease burden have not been considered. Methods A previously developed micro-simulation model was used to project through the year 2050 the extent of obesity, BMI related diseases, and associated health care costs in Brazil. A Monte-Carlo simulation method has been utilized to simulated BMI related diseases. In total, thirteen conditions were modelled: coronary heart disease, stroke, hypertension, diabetes, knee osteoarthritis, and eight cancers (breast, kidney, colorectal, oesophageal, endometrial, gallbladder, liver and pancreas). The authors also projected a possible decrease in the BMI and its impact on health and health care costs. Results In 2010, nearly 45% of the Brazilian male population were overweight or obese (BMI ≥25kg/m²), but by 2050 we project rates as high as 95%. A slightly less pessimistic picture is observed among females: 42% in 2010 increasing to 52% in 2050. The disease incidence figures increase considerably due to obesity patterns. However, BMI reduction across the population will alter these disease projections. Nearly three million diabetes cases and USD 388 million in health care expenditure can be avoided with a five percent reduction in BMI alone by 2050. Conclusion Obesity rates are rapidly increasing in Brazil creating a high burden of diseases and associated health care costs. However, even a one and percent reduction in prevalence rates will substantially reduce the disease and cost burden. Though some steps have been taken for tackling the obesity problem, Brazil still needs a strong, comprehensive policy involving multiple agencies and institutions with strong leadership.</description><subject>Cardiovascular diseases</subject><subject>Economics</subject><subject>Health care</subject><subject>Hypertension</subject><subject>Monte Carlo simulation</subject><subject>Obesity</subject><subject>Osteoarthritis</subject><issn>0143-005X</issn><issn>1470-2738</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkL9OwzAQhy0EEqXwBgyRmE3t-G_GkhaKVLUdALFZtuuIhCQucYOAiYUX5UlIFMTMcnfD97vTfQCcY3SJMeGTwtknGCMc90UwcolifABGmAoEY0HkIRghTAlEiD0eg5MQCtSNIk5GYLbexPj782taR3Pra1_lNpq_6rLV-9zXkc-ila9h6quqrXOrTemiWR6cDi5EeR1dNfojL0_BUabL4M5--xjcX8_v0gVcrm9u0-kSGpwIDIngiDHHceassDTRzrJMS4lMInhCmZSC4q1xOuPUWMO42GbcSKkNZZjojIzBxbB31_iX1oW9Knzb1N1JhYVIYkm6bzuKDpRtfAiNy9SuySvdvCuMVO9L9b5U70sNvlTnq4vBIZaHvXv7y-jmWXFBBFOrh1QhPNvIBY3VrOMnA2-q4n8XfgAlbHtA</recordid><startdate>201209</startdate><enddate>201209</enddate><creator>Rtveladze, K</creator><creator>Marsh, T</creator><creator>Brown, M</creator><creator>Webber, L</creator><creator>Kilpi, F</creator><creator>McPherson, F</creator><creator>Levy, D</creator><creator>Conde, W</creator><creator>Monteiro, C</creator><general>BMJ Publishing Group Ltd</general><general>BMJ Publishing Group LTD</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>8AF</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope></search><sort><creationdate>201209</creationdate><title>OP21 An Economic Evaluation of Non-Communicable Diseases in Brazil</title><author>Rtveladze, K ; Marsh, T ; Brown, M ; Webber, L ; Kilpi, F ; McPherson, F ; Levy, D ; Conde, W ; Monteiro, C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b1971-376055e61fec7c49aec5fa880b97694588741dbeaf64bcb567df6b88ab4513af3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Cardiovascular diseases</topic><topic>Economics</topic><topic>Health care</topic><topic>Hypertension</topic><topic>Monte Carlo simulation</topic><topic>Obesity</topic><topic>Osteoarthritis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rtveladze, K</creatorcontrib><creatorcontrib>Marsh, T</creatorcontrib><creatorcontrib>Brown, M</creatorcontrib><creatorcontrib>Webber, L</creatorcontrib><creatorcontrib>Kilpi, F</creatorcontrib><creatorcontrib>McPherson, F</creatorcontrib><creatorcontrib>Levy, D</creatorcontrib><creatorcontrib>Conde, W</creatorcontrib><creatorcontrib>Monteiro, C</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of epidemiology and community health (1979)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rtveladze, K</au><au>Marsh, T</au><au>Brown, M</au><au>Webber, L</au><au>Kilpi, F</au><au>McPherson, F</au><au>Levy, D</au><au>Conde, W</au><au>Monteiro, C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>OP21 An Economic Evaluation of Non-Communicable Diseases in Brazil</atitle><jtitle>Journal of epidemiology and community health (1979)</jtitle><addtitle>J Epidemiol Community Health</addtitle><date>2012-09</date><risdate>2012</risdate><volume>66</volume><issue>Suppl 1</issue><spage>A8</spage><epage>A9</epage><pages>A8-A9</pages><issn>0143-005X</issn><eissn>1470-2738</eissn><coden>JECHDR</coden><abstract>Background Non-communicable diseases are increasingly recognised as the major health issue facing many governments. Brazil has observed a rapid change in the weight profiles of its population, with the prevalence of obesity and overweight increasing partly as a result of the well documented effect of the nutrition transition. Obesity-related diseases are placing a substantial health and economic burden on the country. While the problem has been recognized, the implications of current trends on future overweight and obesity rates, BMI-related disease and costs associated with that disease burden have not been considered. Methods A previously developed micro-simulation model was used to project through the year 2050 the extent of obesity, BMI related diseases, and associated health care costs in Brazil. A Monte-Carlo simulation method has been utilized to simulated BMI related diseases. In total, thirteen conditions were modelled: coronary heart disease, stroke, hypertension, diabetes, knee osteoarthritis, and eight cancers (breast, kidney, colorectal, oesophageal, endometrial, gallbladder, liver and pancreas). The authors also projected a possible decrease in the BMI and its impact on health and health care costs. Results In 2010, nearly 45% of the Brazilian male population were overweight or obese (BMI ≥25kg/m²), but by 2050 we project rates as high as 95%. A slightly less pessimistic picture is observed among females: 42% in 2010 increasing to 52% in 2050. The disease incidence figures increase considerably due to obesity patterns. However, BMI reduction across the population will alter these disease projections. Nearly three million diabetes cases and USD 388 million in health care expenditure can be avoided with a five percent reduction in BMI alone by 2050. Conclusion Obesity rates are rapidly increasing in Brazil creating a high burden of diseases and associated health care costs. However, even a one and percent reduction in prevalence rates will substantially reduce the disease and cost burden. Though some steps have been taken for tackling the obesity problem, Brazil still needs a strong, comprehensive policy involving multiple agencies and institutions with strong leadership.</abstract><cop>London</cop><pub>BMJ Publishing Group Ltd</pub><doi>10.1136/jech-2012-201753.021</doi><oa>free_for_read</oa></addata></record> |
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subjects | Cardiovascular diseases Economics Health care Hypertension Monte Carlo simulation Obesity Osteoarthritis |
title | OP21 An Economic Evaluation of Non-Communicable Diseases in Brazil |
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