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Nutrition, diabetes and tuberculosis in the epidemiological transition
Diabetes prevalence and body mass index reflect the nutritional profile of populations but have opposing effects on tuberculosis risk. Interactions between diabetes and BMI could help or hinder TB control in growing, aging, urbanizing populations. We compiled data describing temporal changes in BMI,...
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| Published in: | PloS one 2011-06, Vol.6 (6), p.e21161 |
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| creator | Dye, Christopher Bourdin Trunz, Bernadette Lönnroth, Knut Roglic, Gojka Williams, Brian G |
| description | Diabetes prevalence and body mass index reflect the nutritional profile of populations but have opposing effects on tuberculosis risk. Interactions between diabetes and BMI could help or hinder TB control in growing, aging, urbanizing populations.
We compiled data describing temporal changes in BMI, diabetes prevalence and population age structure in rural and urban areas for men and women in countries with high (India) and low (Rep. Korea) TB burdens. Using published data on the risks of TB associated with these factors, we calculated expected changes in TB incidence between 1998 and 2008. In India, TB incidence cases would have increased (28% from 1.7 m to 2.1 m) faster than population size (22%) because of adverse effects of aging, urbanization, changing BMI and rising diabetes prevalence, generating an increase in TB incidence per capita of 5.5% in 10 years. In India, general nutritional improvements were offset by a fall in BMI among the majority of men who live in rural areas. The growing prevalence of diabetes in India increased the annual number of TB cases in people with diabetes by 46% between 1998 and 2008. In Korea, by contrast, the number of TB cases increased more slowly (6.1% from 40,200 to 42,800) than population size (14%) because of positive effects of urbanization, increasing BMI and falling diabetes prevalence. Consequently, TB incidence per capita fell by 7.8% in 10 years. Rapid population aging was the most significant adverse effect in Korea.
Nutritional and demographic changes had stronger adverse effects on TB in high-incidence India than in lower-incidence Korea. The unfavourable effects in both countries can be overcome by early drug treatment but, if left unchecked, could lead to an accelerating rise in TB incidence. The prevention and management of risk factors for TB would reinforce TB control by chemotherapy. |
| doi_str_mv | 10.1371/journal.pone.0021161 |
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We compiled data describing temporal changes in BMI, diabetes prevalence and population age structure in rural and urban areas for men and women in countries with high (India) and low (Rep. Korea) TB burdens. Using published data on the risks of TB associated with these factors, we calculated expected changes in TB incidence between 1998 and 2008. In India, TB incidence cases would have increased (28% from 1.7 m to 2.1 m) faster than population size (22%) because of adverse effects of aging, urbanization, changing BMI and rising diabetes prevalence, generating an increase in TB incidence per capita of 5.5% in 10 years. In India, general nutritional improvements were offset by a fall in BMI among the majority of men who live in rural areas. The growing prevalence of diabetes in India increased the annual number of TB cases in people with diabetes by 46% between 1998 and 2008. In Korea, by contrast, the number of TB cases increased more slowly (6.1% from 40,200 to 42,800) than population size (14%) because of positive effects of urbanization, increasing BMI and falling diabetes prevalence. Consequently, TB incidence per capita fell by 7.8% in 10 years. Rapid population aging was the most significant adverse effect in Korea.
Nutritional and demographic changes had stronger adverse effects on TB in high-incidence India than in lower-incidence Korea. The unfavourable effects in both countries can be overcome by early drug treatment but, if left unchecked, could lead to an accelerating rise in TB incidence. The prevention and management of risk factors for TB would reinforce TB control by chemotherapy.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0021161</identifier><identifier>PMID: 21712992</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acquired immune deficiency syndrome ; Adult ; Age ; Age composition ; Aging ; AIDS ; Biology ; Body mass ; Body Mass Index ; Body size ; Chemotherapy ; Demographics ; Developing countries ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus - epidemiology ; Diabetics ; Diet therapy ; Epidemiology ; Female ; Health risks ; HIV ; Human immunodeficiency virus ; Humans ; Incidence ; India - epidemiology ; Infections ; Korea - epidemiology ; LDCs ; Male ; Medicine ; Mens health ; Nutrition ; Nutritional Status ; Population ; Population number ; Populations ; Risk analysis ; Risk Factors ; Risk management ; Rural areas ; Science Policy ; Sexes ; Side effects ; Tropical diseases ; Tuberculosis ; Tuberculosis - epidemiology ; Urban areas ; Urbanization ; Womens health</subject><ispartof>PloS one, 2011-06, Vol.6 (6), p.e21161</ispartof><rights>COPYRIGHT 2011 Public Library of Science</rights><rights>2011 Dye et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Dye et al. 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c757t-202256985cc1963afe76d67efaf1b62fe06e5532a5fc34e71281c72ae4dd7ec63</citedby><cites>FETCH-LOGICAL-c757t-202256985cc1963afe76d67efaf1b62fe06e5532a5fc34e71281c72ae4dd7ec63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1305019408/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1305019408?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,315,733,786,790,891,25783,27957,27958,37047,44625,53827,53829,75483</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21712992$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Gagneux, Sebastien</contributor><creatorcontrib>Dye, Christopher</creatorcontrib><creatorcontrib>Bourdin Trunz, Bernadette</creatorcontrib><creatorcontrib>Lönnroth, Knut</creatorcontrib><creatorcontrib>Roglic, Gojka</creatorcontrib><creatorcontrib>Williams, Brian G</creatorcontrib><title>Nutrition, diabetes and tuberculosis in the epidemiological transition</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Diabetes prevalence and body mass index reflect the nutritional profile of populations but have opposing effects on tuberculosis risk. Interactions between diabetes and BMI could help or hinder TB control in growing, aging, urbanizing populations.
We compiled data describing temporal changes in BMI, diabetes prevalence and population age structure in rural and urban areas for men and women in countries with high (India) and low (Rep. Korea) TB burdens. Using published data on the risks of TB associated with these factors, we calculated expected changes in TB incidence between 1998 and 2008. In India, TB incidence cases would have increased (28% from 1.7 m to 2.1 m) faster than population size (22%) because of adverse effects of aging, urbanization, changing BMI and rising diabetes prevalence, generating an increase in TB incidence per capita of 5.5% in 10 years. In India, general nutritional improvements were offset by a fall in BMI among the majority of men who live in rural areas. The growing prevalence of diabetes in India increased the annual number of TB cases in people with diabetes by 46% between 1998 and 2008. In Korea, by contrast, the number of TB cases increased more slowly (6.1% from 40,200 to 42,800) than population size (14%) because of positive effects of urbanization, increasing BMI and falling diabetes prevalence. Consequently, TB incidence per capita fell by 7.8% in 10 years. Rapid population aging was the most significant adverse effect in Korea.
Nutritional and demographic changes had stronger adverse effects on TB in high-incidence India than in lower-incidence Korea. The unfavourable effects in both countries can be overcome by early drug treatment but, if left unchecked, could lead to an accelerating rise in TB incidence. The prevention and management of risk factors for TB would reinforce TB control by chemotherapy.</description><subject>Acquired immune deficiency syndrome</subject><subject>Adult</subject><subject>Age</subject><subject>Age composition</subject><subject>Aging</subject><subject>AIDS</subject><subject>Biology</subject><subject>Body mass</subject><subject>Body Mass Index</subject><subject>Body size</subject><subject>Chemotherapy</subject><subject>Demographics</subject><subject>Developing countries</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus - epidemiology</subject><subject>Diabetics</subject><subject>Diet therapy</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Health risks</subject><subject>HIV</subject><subject>Human immunodeficiency virus</subject><subject>Humans</subject><subject>Incidence</subject><subject>India - epidemiology</subject><subject>Infections</subject><subject>Korea - epidemiology</subject><subject>LDCs</subject><subject>Male</subject><subject>Medicine</subject><subject>Mens health</subject><subject>Nutrition</subject><subject>Nutritional Status</subject><subject>Population</subject><subject>Population number</subject><subject>Populations</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Risk management</subject><subject>Rural areas</subject><subject>Science Policy</subject><subject>Sexes</subject><subject>Side effects</subject><subject>Tropical diseases</subject><subject>Tuberculosis</subject><subject>Tuberculosis - epidemiology</subject><subject>Urban areas</subject><subject>Urbanization</subject><subject>Womens health</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNkl-L1DAUxYso7rr6DUQLgiA4Y27SJu2LsCyuDiwu-O81pOnNTIZOM5ukot_edKe7TEFB-tCS_O7JyenJsudAlsAEvNu6wfeqW-5dj0tCKACHB9kp1IwuOCXs4dH3SfYkhC0hJas4f5ydUBBA65qeZpefh-httK5_m7dWNRgx5Kpv8zg06PXQuWBDbvs8bjDHvW1xZ13n1larLo9e9eF2-Gn2yKgu4LPpfZZ9v_zw7eLT4ur64-ri_GqhRSnighJKS15XpdZQc6YMCt5ygUYZaDg1SDiWJaOqNJoVmExWoAVVWLStQM3ZWfbyoLtPxuQUQZDASEmgLkiViNWBaJ3ayr23O-V_S6esvF1wfi2Vj1Z3KNvGpGwokBLrQkDVGGxrxZpK1ERAOZ72fjptaHbYauzTjbuZ6Hyntxu5dj8lg3S9CpLAq0nAu5sBQ_yH5Ylaq-TK9sYlMb2zQcvzQvCqEgJGM8u_UOkZf4lOJTA2rc8G3swGEhPxV1yrIQS5-vrl_9nrH3P29RG7QdXFTXDdMPYgzMHiAGrvQvBo7pMDIscO36Uhxw7LqcNp7MVx6vdDd6VlfwA9T-wY</recordid><startdate>20110621</startdate><enddate>20110621</enddate><creator>Dye, Christopher</creator><creator>Bourdin Trunz, Bernadette</creator><creator>Lönnroth, Knut</creator><creator>Roglic, Gojka</creator><creator>Williams, Brian G</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20110621</creationdate><title>Nutrition, diabetes and tuberculosis in the epidemiological transition</title><author>Dye, Christopher ; Bourdin Trunz, Bernadette ; Lönnroth, Knut ; Roglic, Gojka ; Williams, Brian G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c757t-202256985cc1963afe76d67efaf1b62fe06e5532a5fc34e71281c72ae4dd7ec63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Acquired immune deficiency syndrome</topic><topic>Adult</topic><topic>Age</topic><topic>Age composition</topic><topic>Aging</topic><topic>AIDS</topic><topic>Biology</topic><topic>Body mass</topic><topic>Body Mass Index</topic><topic>Body size</topic><topic>Chemotherapy</topic><topic>Demographics</topic><topic>Developing countries</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes Mellitus - 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Analyzed the data: CD BBT BGW. Contributed reagents/materials/analysis tools: CD BBT BGW. Wrote the paper: CD BBT KL GR BGW.</notes><abstract>Diabetes prevalence and body mass index reflect the nutritional profile of populations but have opposing effects on tuberculosis risk. Interactions between diabetes and BMI could help or hinder TB control in growing, aging, urbanizing populations.
We compiled data describing temporal changes in BMI, diabetes prevalence and population age structure in rural and urban areas for men and women in countries with high (India) and low (Rep. Korea) TB burdens. Using published data on the risks of TB associated with these factors, we calculated expected changes in TB incidence between 1998 and 2008. In India, TB incidence cases would have increased (28% from 1.7 m to 2.1 m) faster than population size (22%) because of adverse effects of aging, urbanization, changing BMI and rising diabetes prevalence, generating an increase in TB incidence per capita of 5.5% in 10 years. In India, general nutritional improvements were offset by a fall in BMI among the majority of men who live in rural areas. The growing prevalence of diabetes in India increased the annual number of TB cases in people with diabetes by 46% between 1998 and 2008. In Korea, by contrast, the number of TB cases increased more slowly (6.1% from 40,200 to 42,800) than population size (14%) because of positive effects of urbanization, increasing BMI and falling diabetes prevalence. Consequently, TB incidence per capita fell by 7.8% in 10 years. Rapid population aging was the most significant adverse effect in Korea.
Nutritional and demographic changes had stronger adverse effects on TB in high-incidence India than in lower-incidence Korea. The unfavourable effects in both countries can be overcome by early drug treatment but, if left unchecked, could lead to an accelerating rise in TB incidence. The prevention and management of risk factors for TB would reinforce TB control by chemotherapy.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>21712992</pmid><doi>10.1371/journal.pone.0021161</doi><tpages>e21161</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Acquired immune deficiency syndrome Adult Age Age composition Aging AIDS Biology Body mass Body Mass Index Body size Chemotherapy Demographics Developing countries Diabetes Diabetes mellitus Diabetes Mellitus - epidemiology Diabetics Diet therapy Epidemiology Female Health risks HIV Human immunodeficiency virus Humans Incidence India - epidemiology Infections Korea - epidemiology LDCs Male Medicine Mens health Nutrition Nutritional Status Population Population number Populations Risk analysis Risk Factors Risk management Rural areas Science Policy Sexes Side effects Tropical diseases Tuberculosis Tuberculosis - epidemiology Urban areas Urbanization Womens health |
| title | Nutrition, diabetes and tuberculosis in the epidemiological transition |
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