Body Mass Index and Diabetes in Asia: A Cross-Sectional Pooled Analysis of 900,000 Individuals in the Asia Cohort Consortium
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{"title"=>"Body mass index and diabetes in Asia: A cross-sectional pooled analysis of 900,000 individuals in the Asia cohort consortium", "type"=>"journal", "authors"=>[{"first_name"=>"Paolo", "last_name"=>"Boffetta", "scopus_author_id"=>"7102621930"}, {"first_name"=>"Dale", "last_name"=>"McLerran", "scopus_author_id"=>"6603909662"}, {"first_name"=>"Yu", "last_name"=>"Chen", "scopus_author_id"=>"55938424600"}, {"first_name"=>"Manami", "last_name"=>"Inoue", "scopus_author_id"=>"8889234100"}, {"first_name"=>"Rashmi", "last_name"=>"Sinha", "scopus_author_id"=>"7402857340"}, {"first_name"=>"Jiang", "last_name"=>"He", "scopus_author_id"=>"7404983432"}, {"first_name"=>"Prakash Chandra", "last_name"=>"Gupta", "scopus_author_id"=>"35398625000"}, {"first_name"=>"Shoichiro", "last_name"=>"Tsugane", "scopus_author_id"=>"7005204049"}, {"first_name"=>"Fujiko", "last_name"=>"Irie", "scopus_author_id"=>"7006830332"}, {"first_name"=>"Akiko", "last_name"=>"Tamakoshi", "scopus_author_id"=>"7006797376"}, {"first_name"=>"Yu Tang", "last_name"=>"Gao", "scopus_author_id"=>"55628578504"}, {"first_name"=>"Xiao Ou", "last_name"=>"Shu", "scopus_author_id"=>"56400128500"}, {"first_name"=>"Renwei", "last_name"=>"Wang", "scopus_author_id"=>"8337820300"}, {"first_name"=>"Ichiro", "last_name"=>"Tsuji", "scopus_author_id"=>"7102034375"}, {"first_name"=>"Shinichi", "last_name"=>"Kuriyama", "scopus_author_id"=>"7103378646"}, {"first_name"=>"Keitaro", "last_name"=>"Matsuo", "scopus_author_id"=>"7401602814"}, {"first_name"=>"Hiroshi", "last_name"=>"Satoh", "scopus_author_id"=>"35352721400"}, {"first_name"=>"Chien Jen", "last_name"=>"Chen", "scopus_author_id"=>"7501959692"}, {"first_name"=>"Jian Min", "last_name"=>"Yuan", "scopus_author_id"=>"34668744500"}, {"first_name"=>"Keun Young", "last_name"=>"Yoo", "scopus_author_id"=>"7202592825"}, {"first_name"=>"Habibul", "last_name"=>"Ahsan", "scopus_author_id"=>"7005171551"}, {"first_name"=>"Wen Harn", "last_name"=>"Pan", "scopus_author_id"=>"7402219783"}, {"first_name"=>"Dongfeng", "last_name"=>"Gu", "scopus_author_id"=>"55802487000"}, {"first_name"=>"Mangesh Suryakant", "last_name"=>"Pednekar", "scopus_author_id"=>"6603057074"}, {"first_name"=>"Shizuka", "last_name"=>"Sasazuki", "scopus_author_id"=>"35369762100"}, {"first_name"=>"Toshimi", "last_name"=>"Sairenchi", "scopus_author_id"=>"6507303385"}, {"first_name"=>"Gong", "last_name"=>"Yang", "scopus_author_id"=>"7405755505"}, {"first_name"=>"Yong Bing", "last_name"=>"Xiang", "scopus_author_id"=>"7201979437"}, {"first_name"=>"Masato", "last_name"=>"Nagai", "scopus_author_id"=>"34881942700"}, {"first_name"=>"Hideo", "last_name"=>"Tanaka", "scopus_author_id"=>"55740210500"}, {"first_name"=>"Yoshikazu", "last_name"=>"Nishino", "scopus_author_id"=>"7102096060"}, {"first_name"=>"San Lin", "last_name"=>"You", "scopus_author_id"=>"7201516961"}, {"first_name"=>"Woon Puay", "last_name"=>"Koh", "scopus_author_id"=>"7102038885"}, {"first_name"=>"Sue K.", "last_name"=>"Park", "scopus_author_id"=>"8085325400"}, {"first_name"=>"Chen Yang", "last_name"=>"Shen", "scopus_author_id"=>"35230682400"}, {"first_name"=>"Mark", "last_name"=>"Thornquist", "scopus_author_id"=>"7004018893"}, {"first_name"=>"Daehee", "last_name"=>"Kang", "scopus_author_id"=>"7402889335"}, {"first_name"=>"Betsy", "last_name"=>"Rolland", "scopus_author_id"=>"37038478900"}, {"first_name"=>"Ziding", "last_name"=>"Feng", "scopus_author_id"=>"7403442940"}, {"first_name"=>"Wei", "last_name"=>"Zheng", "scopus_author_id"=>"35381589100"}, {"first_name"=>"John D.", "last_name"=>"Potter", "scopus_author_id"=>"35380121900"}], "year"=>2011, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-79959449171", "sgr"=>"79959449171", "issn"=>"19326203", "doi"=>"10.1371/journal.pone.0019930", "pmid"=>"21731609", "isbn"=>"1932-6203", "pui"=>"361997163"}, "id"=>"ac7b3ba7-897e-3f3a-a702-7dfdc4e14111", "abstract"=>"BACKGROUND: The occurrence of diabetes has greatly increased in low- and middle-income countries, particularly in Asia, as has the prevalence of overweight and obesity; in European-derived populations, overweight and obesity are established causes of diabetes. The shape of the association of overweight and obesity with diabetes risk and its overall impact have not been adequately studied in Asia. METHODS AND FINDINGS: A pooled cross-sectional analysis was conducted to evaluate the association between baseline body mass index (BMI, measured as weight in kg divided by the square of height in m) and self-reported diabetes status in over 900,000 individuals recruited in 18 cohorts from Bangladesh, China, India, Japan, Korea, Singapore and Taiwan. Logistic regression models were fitted to calculate cohort-specific odds ratios (OR) of diabetes for categories of increasing BMI, after adjustment for potential confounding factors. OR were pooled across cohorts using a random-effects meta-analysis. The sex- and age-adjusted prevalence of diabetes was 4.3% in the overall population, ranging from 0.5% to 8.2% across participating cohorts. Using the category 22.5-24.9 kg/m(2)) as reference, the OR for diabetes spanned from 0.58 (95% confidence interval [CI] 0.31, 0.76) for BMI lower than 15.0 kg/m(2) to 2.23 (95% CI 1.86, 2.67) for BMI higher than 34.9 kg/m(2). The positive association between BMI and diabetes prevalence was present in all cohorts and in all subgroups of the study population, although the association was stronger in individuals below age 50 at baseline (p-value of interaction<0.001), in cohorts from India and Bangladesh (p<0.001), in individuals with low education (p-value 0.02), and in smokers (p-value 0.03); no differences were observed by gender, urban residence, or alcohol drinking. CONCLUSIONS: This study estimated the shape and the strength of the association between BMI and prevalence of diabetes in Asian populations and identified patterns of the association by age, country, and other risk factors for diabetes.", "link"=>"http://www.mendeley.com/research/body-mass-index-diabetes-asia-crosssectional-pooled-analysis-900000-individuals-asia-cohort-consorti", "reader_count"=>81, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Professor > Associate Professor"=>5, "Researcher"=>16, "Student > Doctoral Student"=>11, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>5, "Student > Master"=>10, "Other"=>5, "Student > Bachelor"=>10, "Professor"=>8}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Professor > Associate Professor"=>5, "Researcher"=>16, "Student > Doctoral Student"=>11, "Student > Ph. D. 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  • {"files"=>["https://ndownloader.figshare.com/files/383442", "https://ndownloader.figshare.com/files/383630", "https://ndownloader.figshare.com/files/383695", "https://ndownloader.figshare.com/files/383764"], "description"=>"<div><h3>Background</h3><p>The occurrence of diabetes has greatly increased in low- and middle-income countries, particularly in Asia, as has the prevalence of overweight and obesity; in European-derived populations, overweight and obesity are established causes of diabetes. The shape of the association of overweight and obesity with diabetes risk and its overall impact have not been adequately studied in Asia. </p> <h3>Methods and Findings</h3><p>A pooled cross-sectional analysis was conducted to evaluate the association between baseline body mass index (BMI, measured as weight in kg divided by the square of height in m) and self-reported diabetes status in over 900,000 individuals recruited in 18 cohorts from Bangladesh, China, India, Japan, Korea, Singapore and Taiwan. Logistic regression models were fitted to calculate cohort-specific odds ratios (OR) of diabetes for categories of increasing BMI, after adjustment for potential confounding factors. OR were pooled across cohorts using a random-effects meta-analysis. The sex- and age-adjusted prevalence of diabetes was 4.3% in the overall population, ranging from 0.5% to 8.2% across participating cohorts. Using the category 22.5–24.9 Kg/m<sup>2</sup> as reference, the OR for diabetes spanned from 0.58 (95% confidence interval [CI] 0.31, 0.76) for BMI lower than 15.0 kg/m<sup>2</sup> to 2.23 (95% CI 1.86, 2.67) for BMI higher than 34.9 kg/m<sup>2</sup>. The positive association between BMI and diabetes prevalence was present in all cohorts and in all subgroups of the study population, although the association was stronger in individuals below age 50 at baseline (p-value of interaction<0.001), in cohorts from India and Bangladesh (p<0.001), in individuals with low education (p-value 0.02), and in smokers (p-value 0.03); no differences were observed by gender, urban residence, or alcohol drinking.</p> <h3>Conclusions</h3><p>This study estimated the shape and the strength of the association between BMI and prevalence of diabetes in Asian populations and identified patterns of the association by age, country, and other risk factors for diabetes.</p> </div>", "links"=>[], "tags"=>["cross-sectional", "pooled", "individuals", "asia", "cohort", "consortium"], "article_id"=>135712, "categories"=>["Biotechnology"], "users"=>["Paolo Boffetta", "Dale McLerran", "Yu Chen", "Manami Inoue", "Rashmi Sinha", "Jiang He", "Prakash Chandra Gupta", "Shoichiro Tsugane", "Fujiko Irie", "Akiko Tamakoshi", "Yu-Tang Gao", "Xiao-Ou Shu", "Renwei Wang", "Ichiro Tsuji", "Shinichi Kuriyama", "Keitaro Matsuo", "Hiroshi Satoh", "Chien-Jen Chen", "Jian-Min Yuan", "Keun-Young Yoo", "Habibul Ahsan", "Wen-Harn Pan", "Dongfeng Gu", "Mangesh Suryakant Pednekar", "Shizuka Sasazuki", "Toshimi Sairenchi", "Gong Yang", "Yong-Bing Xiang", "Masato Nagai", "Hideo Tanaka", "Yoshikazu Nishino", "San-Lin You", "Woon-Puay Koh", "Sue K. Park", "Chen-Yang Shen", "Mark Thornquist", "Daehee Kang", "Betsy Rolland", "Ziding Feng", "Wei Zheng", "John D. Potter"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0019930.s001", "https://dx.doi.org/10.1371/journal.pone.0019930.s002", "https://dx.doi.org/10.1371/journal.pone.0019930.s004", "https://dx.doi.org/10.1371/journal.pone.0019930.s003"], "stats"=>{"downloads"=>9, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Body_Mass_Index_and_Diabetes_in_Asia_A_Cross_Sectional_Pooled_Analysis_of_900_000_Individuals_in_the_Asia_Cohort_Consortium/135712", "title"=>"Body Mass Index and Diabetes in Asia: A Cross-Sectional Pooled Analysis of 900,000 Individuals in the Asia Cohort Consortium", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2011-06-22 01:35:12"}
  • {"files"=>["https://ndownloader.figshare.com/files/762708"], "description"=>"<p>B. OR of diabetes for BMI category in women, stratified by geographic region.</p>", "links"=>[], "tags"=>["bmi", "stratified", "geographic"], "article_id"=>433025, "categories"=>["Biotechnology"], "users"=>["Paolo Boffetta", "Dale McLerran", "Yu Chen", "Manami Inoue", "Rashmi Sinha", "Jiang He", "Prakash Chandra Gupta", "Shoichiro Tsugane", "Fujiko Irie", "Akiko Tamakoshi", "Yu-Tang Gao", "Xiao-Ou Shu", "Renwei Wang", "Ichiro Tsuji", "Shinichi Kuriyama", "Keitaro Matsuo", "Hiroshi Satoh", "Chien-Jen Chen", "Jian-Min Yuan", "Keun-Young Yoo", "Habibul Ahsan", "Wen-Harn Pan", "Dongfeng Gu", "Mangesh Suryakant Pednekar", "Shizuka Sasazuki", "Toshimi Sairenchi", "Gong Yang", "Yong-Bing Xiang", "Masato Nagai", "Hideo Tanaka", "Yoshikazu Nishino", "San-Lin You", "Woon-Puay Koh", "Sue K. Park", "Chen-Yang Shen", "Mark Thornquist", "Daehee Kang", "Betsy Rolland", "Ziding Feng", "Wei Zheng", "John D. Potter"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0019930.g002", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_OR_of_diabetes_for_BMI_category_in_men_stratified_by_geographic_region_/433025", "title"=>"A. OR of diabetes for BMI category in men, stratified by geographic region.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-06-22 00:50:25"}
  • {"files"=>["https://ndownloader.figshare.com/files/763101"], "description"=>"<p>*See <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0019930#pone.0019930.s003\" target=\"_blank\">Reference List S1</a></p>a<p>Minor differences in the number of subjects compared to the original publications are explained by selection criteria in the different analyses</p>b<p>Mean (SD) for BMI and mean for age at baseline.</p>c<p>Prevalence of diabetes is standardized for age and sex.</p>d<p>BMI was estimated using weight and height measured at enrollment. For other studies weight and height were self-reported.</p>e<p>Cohort restricted to men.</p>f<p>Cohort restricted to women.</p>", "links"=>[], "tags"=>["cohorts", "included", "pooled"], "article_id"=>433413, "categories"=>["Biotechnology"], "users"=>["Paolo Boffetta", "Dale McLerran", "Yu Chen", "Manami Inoue", "Rashmi Sinha", "Jiang He", "Prakash Chandra Gupta", "Shoichiro Tsugane", "Fujiko Irie", "Akiko Tamakoshi", "Yu-Tang Gao", "Xiao-Ou Shu", "Renwei Wang", "Ichiro Tsuji", "Shinichi Kuriyama", "Keitaro Matsuo", "Hiroshi Satoh", "Chien-Jen Chen", "Jian-Min Yuan", "Keun-Young Yoo", "Habibul Ahsan", "Wen-Harn Pan", "Dongfeng Gu", "Mangesh Suryakant Pednekar", "Shizuka Sasazuki", "Toshimi Sairenchi", "Gong Yang", "Yong-Bing Xiang", "Masato Nagai", "Hideo Tanaka", "Yoshikazu Nishino", "San-Lin You", "Woon-Puay Koh", "Sue K. Park", "Chen-Yang Shen", "Mark Thornquist", "Daehee Kang", "Betsy Rolland", "Ziding Feng", "Wei Zheng", "John D. Potter"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0019930.t001", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Characteristics_of_the_cohorts_included_in_the_pooled_analysis_/433413", "title"=>"Characteristics of the cohorts included in the pooled analysis.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-06-22 00:56:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/763014"], "description"=>"<p>aMeta-analysis estimates of cohort-specific OR adjusted for age and sex (when appropriate).</p><p>*P-value of difference across strata <0.001.</p><p>OR, odds ratio; CI, confidence interval; SE, standard error.</p>", "links"=>[], "tags"=>["ratios", "stratified"], "article_id"=>433336, "categories"=>["Biotechnology"], "users"=>["Paolo Boffetta", "Dale McLerran", "Yu Chen", "Manami Inoue", "Rashmi Sinha", "Jiang He", "Prakash Chandra Gupta", "Shoichiro Tsugane", "Fujiko Irie", "Akiko Tamakoshi", "Yu-Tang Gao", "Xiao-Ou Shu", "Renwei Wang", "Ichiro Tsuji", "Shinichi Kuriyama", "Keitaro Matsuo", "Hiroshi Satoh", "Chien-Jen Chen", "Jian-Min Yuan", "Keun-Young Yoo", "Habibul Ahsan", "Wen-Harn Pan", "Dongfeng Gu", "Mangesh Suryakant Pednekar", "Shizuka Sasazuki", "Toshimi Sairenchi", "Gong Yang", "Yong-Bing Xiang", "Masato Nagai", "Hideo Tanaka", "Yoshikazu Nishino", "San-Lin You", "Woon-Puay Koh", "Sue K. Park", "Chen-Yang Shen", "Mark Thornquist", "Daehee Kang", "Betsy Rolland", "Ziding Feng", "Wei Zheng", "John D. Potter"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0019930.t002", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Odds_ratios_of_diabetes_for_body_mass_index_overall_and_stratified_by_sex_and_age_/433336", "title"=>"Odds ratios of diabetes for body mass index, overall and stratified by sex and age.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-06-22 00:55:36"}
  • {"files"=>["https://ndownloader.figshare.com/files/762593"], "description"=>"<p>Sex- and age-adjusted prevalence of diabetes by geographic region.</p>", "links"=>[], "tags"=>["age-adjusted", "prevalence", "geographic"], "article_id"=>432907, "categories"=>["Biotechnology"], "users"=>["Paolo Boffetta", "Dale McLerran", "Yu Chen", "Manami Inoue", "Rashmi Sinha", "Jiang He", "Prakash Chandra Gupta", "Shoichiro Tsugane", "Fujiko Irie", "Akiko Tamakoshi", "Yu-Tang Gao", "Xiao-Ou Shu", "Renwei Wang", "Ichiro Tsuji", "Shinichi Kuriyama", "Keitaro Matsuo", "Hiroshi Satoh", "Chien-Jen Chen", "Jian-Min Yuan", "Keun-Young Yoo", "Habibul Ahsan", "Wen-Harn Pan", "Dongfeng Gu", "Mangesh Suryakant Pednekar", "Shizuka Sasazuki", "Toshimi Sairenchi", "Gong Yang", "Yong-Bing Xiang", "Masato Nagai", "Hideo Tanaka", "Yoshikazu Nishino", "San-Lin You", "Woon-Puay Koh", "Sue K. Park", "Chen-Yang Shen", "Mark Thornquist", "Daehee Kang", "Betsy Rolland", "Ziding Feng", "Wei Zheng", "John D. Potter"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0019930.g001", "stats"=>{"downloads"=>0, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Sex_and_age_adjusted_prevalence_of_diabetes_by_geographic_region_/432907", "title"=>"Sex- and age-adjusted prevalence of diabetes by geographic region.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-06-22 00:48:27"}
  • {"files"=>["https://ndownloader.figshare.com/files/762868"], "description"=>"<p>B. OR of diabetes for BMI category, stratified by education. C. OR of diabetes for BMI category in men, stratified by tobacco smoking. D. OR of diabetes for BMI category in men, stratified by alcohol drinking</p>", "links"=>[], "tags"=>["bmi", "stratified"], "article_id"=>433197, "categories"=>["Biotechnology"], "users"=>["Paolo Boffetta", "Dale McLerran", "Yu Chen", "Manami Inoue", "Rashmi Sinha", "Jiang He", "Prakash Chandra Gupta", "Shoichiro Tsugane", "Fujiko Irie", "Akiko Tamakoshi", "Yu-Tang Gao", "Xiao-Ou Shu", "Renwei Wang", "Ichiro Tsuji", "Shinichi Kuriyama", "Keitaro Matsuo", "Hiroshi Satoh", "Chien-Jen Chen", "Jian-Min Yuan", "Keun-Young Yoo", "Habibul Ahsan", "Wen-Harn Pan", "Dongfeng Gu", "Mangesh Suryakant Pednekar", "Shizuka Sasazuki", "Toshimi Sairenchi", "Gong Yang", "Yong-Bing Xiang", "Masato Nagai", "Hideo Tanaka", "Yoshikazu Nishino", "San-Lin You", "Woon-Puay Koh", "Sue K. Park", "Chen-Yang Shen", "Mark Thornquist", "Daehee Kang", "Betsy Rolland", "Ziding Feng", "Wei Zheng", "John D. Potter"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0019930.g003", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_OR_of_diabetes_for_BMI_category_stratified_by_urban_rural_residence_/433197", "title"=>"A. OR of diabetes for BMI category, stratified by urban/rural residence.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-06-22 00:53:17"}

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Relative Metric

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