Differences in the prevalence of prediabetes, undiagnosed diabetes and diagnosed diabetes and associated factors in cohorts of Brazilian and English older adults
To analyse differences in the prevalence of prediabetes (PD), undiagnosed diabetes (UDD) and diagnosed diabetes (DD) and associated factors between Brazilian and English older adults. Cross-sectional study. England and Brazil. 5301 participants of the English Longitudinal Study of Ageing study and 1...
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description | To analyse differences in the prevalence of prediabetes (PD), undiagnosed diabetes (UDD) and diagnosed diabetes (DD) and associated factors between Brazilian and English older adults.
Cross-sectional study.
England and Brazil.
5301 participants of the English Longitudinal Study of Ageing study and 1947 participants of the Brazilian Longitudinal Study of Aging study classified as non-diabetics, PD, UDD and DD.
The prevalence of PD, UDD and DD was 48·6, 3 and 9·6 % in England and 33, 6 and 20 % in Brazil. In England, the increase in age, non-white skin colour, smoking, general obesity and abdominal obesity were associated with PD, UDD and DD, whereas hypertriglyceridaemia, low HDL levels, hypertension and stroke were associated with UDD and DD. In Brazil, the increase in age was associated with DD and UDD, non-white skin colour and smoking were associated with UDD and abdominal obesity and hypertriglyceridaemia were associated with all three conditions. CVD in England and schooling in Brazil were associated with PD and DD. A sedentary lifestyle was associated with DD in both samples.
The prevalence of diabetes was higher in the Brazilian sample. Different associated factors were found in the two samples, which may be related to differences in nutritional transition, access to healthcare services and the use of such services. |
doi_str_mv | 10.1017/S1368980020003201 |
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Cross-sectional study.
England and Brazil.
5301 participants of the English Longitudinal Study of Ageing study and 1947 participants of the Brazilian Longitudinal Study of Aging study classified as non-diabetics, PD, UDD and DD.
The prevalence of PD, UDD and DD was 48·6, 3 and 9·6 % in England and 33, 6 and 20 % in Brazil. In England, the increase in age, non-white skin colour, smoking, general obesity and abdominal obesity were associated with PD, UDD and DD, whereas hypertriglyceridaemia, low HDL levels, hypertension and stroke were associated with UDD and DD. In Brazil, the increase in age was associated with DD and UDD, non-white skin colour and smoking were associated with UDD and abdominal obesity and hypertriglyceridaemia were associated with all three conditions. CVD in England and schooling in Brazil were associated with PD and DD. A sedentary lifestyle was associated with DD in both samples.
The prevalence of diabetes was higher in the Brazilian sample. Different associated factors were found in the two samples, which may be related to differences in nutritional transition, access to healthcare services and the use of such services.</description><identifier>ISSN: 1368-9800</identifier><identifier>EISSN: 1475-2727</identifier><identifier>DOI: 10.1017/S1368980020003201</identifier><identifier>PMID: 32972476</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Adults ; Age ; Aged ; Aging ; Alcohol use ; Body mass index ; Brazil - epidemiology ; Color ; Cross-Sectional Studies ; Developing countries ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus - epidemiology ; Divorce ; Glucose ; Hemoglobin ; High density lipoprotein ; Humans ; Hypertension ; Laboratories ; LDCs ; Longitudinal Studies ; Nutritional epidemiology ; Obesity ; Older people ; Prediabetic State - diagnosis ; Prediabetic State - epidemiology ; Prevalence ; Questionnaires ; Research paper ; Risk Factors ; Smoking ; Sociodemographics ; Statistical analysis ; Variables ; Womens health</subject><ispartof>Public health nutrition, 2021-09, Vol.24 (13), p.4187-4194</ispartof><rights>The Author(s), 2020. Published by Cambridge University Press on behalf of The Nutrition Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c471t-4521cdc946a4120ec01e71debdf1ecb7d19b27180a8634dc6748e5266a308e7d3</citedby><cites>FETCH-LOGICAL-c471t-4521cdc946a4120ec01e71debdf1ecb7d19b27180a8634dc6748e5266a308e7d3</cites><orcidid>0000-0003-3791-9793 ; 0000-0002-3467-3989</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9014254/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9014254/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32972476$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>dos Santos, Eilane Souza Marques</creatorcontrib><creatorcontrib>Máximo, Roberta de Oliveira</creatorcontrib><creatorcontrib>de Andrade, Fabíola Bof</creatorcontrib><creatorcontrib>de Oliveira, Cesar</creatorcontrib><creatorcontrib>Lima-Costa, Maria Fernanda</creatorcontrib><creatorcontrib>Alexandre, Tiago da Silva</creatorcontrib><title>Differences in the prevalence of prediabetes, undiagnosed diabetes and diagnosed diabetes and associated factors in cohorts of Brazilian and English older adults</title><title>Public health nutrition</title><addtitle>Public Health Nutr</addtitle><description>To analyse differences in the prevalence of prediabetes (PD), undiagnosed diabetes (UDD) and diagnosed diabetes (DD) and associated factors between Brazilian and English older adults.
Cross-sectional study.
England and Brazil.
5301 participants of the English Longitudinal Study of Ageing study and 1947 participants of the Brazilian Longitudinal Study of Aging study classified as non-diabetics, PD, UDD and DD.
The prevalence of PD, UDD and DD was 48·6, 3 and 9·6 % in England and 33, 6 and 20 % in Brazil. In England, the increase in age, non-white skin colour, smoking, general obesity and abdominal obesity were associated with PD, UDD and DD, whereas hypertriglyceridaemia, low HDL levels, hypertension and stroke were associated with UDD and DD. In Brazil, the increase in age was associated with DD and UDD, non-white skin colour and smoking were associated with UDD and abdominal obesity and hypertriglyceridaemia were associated with all three conditions. CVD in England and schooling in Brazil were associated with PD and DD. A sedentary lifestyle was associated with DD in both samples.
The prevalence of diabetes was higher in the Brazilian sample. Different associated factors were found in the two samples, which may be related to differences in nutritional transition, access to healthcare services and the use of such services.</description><subject>Adults</subject><subject>Age</subject><subject>Aged</subject><subject>Aging</subject><subject>Alcohol use</subject><subject>Body mass index</subject><subject>Brazil - epidemiology</subject><subject>Color</subject><subject>Cross-Sectional Studies</subject><subject>Developing countries</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus - epidemiology</subject><subject>Divorce</subject><subject>Glucose</subject><subject>Hemoglobin</subject><subject>High density lipoprotein</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Laboratories</subject><subject>LDCs</subject><subject>Longitudinal Studies</subject><subject>Nutritional epidemiology</subject><subject>Obesity</subject><subject>Older people</subject><subject>Prediabetic State - diagnosis</subject><subject>Prediabetic State - epidemiology</subject><subject>Prevalence</subject><subject>Questionnaires</subject><subject>Research paper</subject><subject>Risk Factors</subject><subject>Smoking</subject><subject>Sociodemographics</subject><subject>Statistical analysis</subject><subject>Variables</subject><subject>Womens health</subject><issn>1368-9800</issn><issn>1475-2727</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1UstuFDEQtBARCYEP4IIsccmBCbbHY89ckCCEhxSJA3C2PHbPriOvvdieSOFv-FM8m014n9xdVV3dLTdCTyg5pYTKF59oK_qhJ4QRQlpG6D10RLnsGiaZvF_jSjcLf4ge5nxZRZ2U8gE6bNkgGZfiCH1_46YJEgQDGbuAyxrwNsGV9guE47Rk1ukRCuTneA41XoWYweJbFOuwS_4F65yjcbpUfNKmxLRrYuI6ppIX99dJf3Pe6bCTn4eVd3mNo7eQsLazL_kROpi0z_B4_x6jL2_PP5-9by4-vvtw9uqiMVzS0vCOUWPNwIXmlBEwhIKkFkY7UTCjtHQYmaQ90b1ouTVC8h46JoRuSQ_Stsfo5Y3vdh43YA2EkrRX2-Q2Ol2rqJ36nQlurVbxSg2EctbxanCyN0jx6wy5qI3LBrzXAeKcFeNciK4O2Ffpsz-kl3FOoa6nWCdayQnhsqrojcqkmHOC6W4YStRyAOqvA6g1T3_d4q7i9seroN2b6s2YnF3Bz97_t_0Bp9299g</recordid><startdate>20210901</startdate><enddate>20210901</enddate><creator>dos Santos, Eilane Souza Marques</creator><creator>Máximo, Roberta de Oliveira</creator><creator>de Andrade, Fabíola Bof</creator><creator>de Oliveira, Cesar</creator><creator>Lima-Costa, Maria Fernanda</creator><creator>Alexandre, Tiago da Silva</creator><general>Cambridge University Press</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>3V.</scope><scope>7QP</scope><scope>7RQ</scope><scope>7RV</scope><scope>7T2</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</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>ATCPS</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-3791-9793</orcidid><orcidid>https://orcid.org/0000-0002-3467-3989</orcidid></search><sort><creationdate>20210901</creationdate><title>Differences in the prevalence of prediabetes, undiagnosed diabetes and diagnosed diabetes and associated factors in cohorts of Brazilian and English older adults</title><author>dos Santos, Eilane Souza Marques ; Máximo, Roberta de Oliveira ; de Andrade, Fabíola Bof ; de Oliveira, Cesar ; Lima-Costa, Maria Fernanda ; Alexandre, Tiago da Silva</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c471t-4521cdc946a4120ec01e71debdf1ecb7d19b27180a8634dc6748e5266a308e7d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adults</topic><topic>Age</topic><topic>Aged</topic><topic>Aging</topic><topic>Alcohol use</topic><topic>Body mass index</topic><topic>Brazil - epidemiology</topic><topic>Color</topic><topic>Cross-Sectional Studies</topic><topic>Developing countries</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes Mellitus - epidemiology</topic><topic>Divorce</topic><topic>Glucose</topic><topic>Hemoglobin</topic><topic>High density lipoprotein</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Laboratories</topic><topic>LDCs</topic><topic>Longitudinal Studies</topic><topic>Nutritional epidemiology</topic><topic>Obesity</topic><topic>Older people</topic><topic>Prediabetic State - diagnosis</topic><topic>Prediabetic State - epidemiology</topic><topic>Prevalence</topic><topic>Questionnaires</topic><topic>Research paper</topic><topic>Risk Factors</topic><topic>Smoking</topic><topic>Sociodemographics</topic><topic>Statistical analysis</topic><topic>Variables</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>dos Santos, Eilane Souza Marques</creatorcontrib><creatorcontrib>Máximo, Roberta de Oliveira</creatorcontrib><creatorcontrib>de Andrade, Fabíola Bof</creatorcontrib><creatorcontrib>de Oliveira, Cesar</creatorcontrib><creatorcontrib>Lima-Costa, Maria Fernanda</creatorcontrib><creatorcontrib>Alexandre, Tiago da Silva</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Career & Technical Education Database</collection><collection>Nursing & Allied Health Database</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</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>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</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>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical 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 Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Public health nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>dos Santos, Eilane Souza Marques</au><au>Máximo, Roberta de Oliveira</au><au>de Andrade, Fabíola Bof</au><au>de Oliveira, Cesar</au><au>Lima-Costa, Maria Fernanda</au><au>Alexandre, Tiago da Silva</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Differences in the prevalence of prediabetes, undiagnosed diabetes and diagnosed diabetes and associated factors in cohorts of Brazilian and English older adults</atitle><jtitle>Public health nutrition</jtitle><addtitle>Public Health Nutr</addtitle><date>2021-09-01</date><risdate>2021</risdate><volume>24</volume><issue>13</issue><spage>4187</spage><epage>4194</epage><pages>4187-4194</pages><issn>1368-9800</issn><eissn>1475-2727</eissn><abstract>To analyse differences in the prevalence of prediabetes (PD), undiagnosed diabetes (UDD) and diagnosed diabetes (DD) and associated factors between Brazilian and English older adults.
Cross-sectional study.
England and Brazil.
5301 participants of the English Longitudinal Study of Ageing study and 1947 participants of the Brazilian Longitudinal Study of Aging study classified as non-diabetics, PD, UDD and DD.
The prevalence of PD, UDD and DD was 48·6, 3 and 9·6 % in England and 33, 6 and 20 % in Brazil. In England, the increase in age, non-white skin colour, smoking, general obesity and abdominal obesity were associated with PD, UDD and DD, whereas hypertriglyceridaemia, low HDL levels, hypertension and stroke were associated with UDD and DD. In Brazil, the increase in age was associated with DD and UDD, non-white skin colour and smoking were associated with UDD and abdominal obesity and hypertriglyceridaemia were associated with all three conditions. CVD in England and schooling in Brazil were associated with PD and DD. A sedentary lifestyle was associated with DD in both samples.
The prevalence of diabetes was higher in the Brazilian sample. Different associated factors were found in the two samples, which may be related to differences in nutritional transition, access to healthcare services and the use of such services.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>32972476</pmid><doi>10.1017/S1368980020003201</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-3791-9793</orcidid><orcidid>https://orcid.org/0000-0002-3467-3989</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adults Age Aged Aging Alcohol use Body mass index Brazil - epidemiology Color Cross-Sectional Studies Developing countries Diabetes Diabetes mellitus Diabetes Mellitus - epidemiology Divorce Glucose Hemoglobin High density lipoprotein Humans Hypertension Laboratories LDCs Longitudinal Studies Nutritional epidemiology Obesity Older people Prediabetic State - diagnosis Prediabetic State - epidemiology Prevalence Questionnaires Research paper Risk Factors Smoking Sociodemographics Statistical analysis Variables Womens health |
title | Differences in the prevalence of prediabetes, undiagnosed diabetes and diagnosed diabetes and associated factors in cohorts of Brazilian and English older adults |
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