13 results on '"Sawada, Norie"'
Search Results
2. Public Access to Summary Statistics for Genome-wide Association Studies of Body Mass Index, Weight, and Height Among Healthy Japanese Individuals: The Japanese Consortium of Genetic Epidemiology Studies
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Goto, Atsushi, Suzuki, Shiori, Katagiri, Ryoko, Yamaji, Taiki, Sawada, Norie, Nakatochi, Masahiro, Wakai, Kenji, Hozawa, Atsushi, Kinoshita, Kengo, Tanno, Kozo, Shimizu, Atsushi, Ito, Hidemi, Matsuo, Keitaro, and Iwasaki, Motoki
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Medicine (General) ,Molecular Epidemiology ,Epidemiology ,Body Weight ,body mass index ,General Medicine ,Polymorphism, Single Nucleotide ,Body Height ,R5-920 ,Japan ,genome-wide association studies ,Genetics ,Japanese ,Humans ,Letter to the Editor ,height ,Genome-Wide Association Study - Published
- 2022
3. Additional file 1 of Serum anti-DIDO1, anti-CPSF2, and anti-FOXJ2 antibodies as predictive risk markers for acute ischemic stroke
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Hiwasa, Takaki, Wang, Hao, Goto, Ken-ichiro, Mine, Seiichiro, Machida, Toshio, Kobayashi, Eiichi, Yoshida, Yoichi, Adachi, Akihiko, Matsutani, Tomoo, Sata, Mizuki, Yamagishi, Kazumasa, Iso, Hiroyasu, Sawada, Norie, Tsugane, Shoichiro, Kunimatsu, Mitoshi, Kamitsukasa, Ikuo, Mori, Masahiro, Sugimoto, Kazuo, Uzawa, Akiyuki, Muto, Mayumi, Kuwabara, Satoshi, Kobayashi, Yoshio, Ohno, Mikiko, Nishi, Eiichiro, Hattori, Akiko, Yamamoto, Masashi, Maezawa, Yoshiro, Kobayashi, Kazuki, Ishibashi, Ryoichi, Takemoto, Minoru, Yokote, Koutaro, Takizawa, Hirotaka, Kishimoto, Takashi, Matsushita, Kazuyuki, Kobayashi, Sohei, Nomura, Fumio, Arasawa, Takahiro, Kagaya, Akiko, Maruyama, Tetsuro, Matsubara, Hisahiro, Tomiita, Minako, Hamanaka, Shinsaku, Imai, Yushi, Nakagawa, Tomoo, Kato, Naoya, Terada, Jiro, Matsumura, Takuma, Katsumata, Yusuke, Naito, Akira, Tanabe, Nobuhiro, Sakao, Seiichiro, Tatsumi, Koichiro, Ito, Masaaki, Shiratori, Fumiaki, Sumazaki, Makoto, Yajima, Satoshi, Shimada, Hideaki, Shirouzu, Mikako, Yokoyama, Shigeyuki, Kudo, Takashi, Doi, Hirofumi, Iwase, Katsuro, Ashino, Hiromi, Li, Shu-Yang, Kubota, Masaaki, Tomiyoshi, Go, Shinmen, Natsuko, Nakamura, Rika, Kuroda, Hideyuki, and Iwadate, Yasuo
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InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL ,ComputingMethodologies_DOCUMENTANDTEXTPROCESSING ,ComputingMilieux_COMPUTERSANDEDUCATION ,Data_FILES ,ComputerApplications_COMPUTERSINOTHERSYSTEMS - Abstract
Additional file 1. Supplementary information.
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- 2021
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4. Additional file 2 of Variations in the estimated intake of acrylamide from food in the Japanese population
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Kito, Kumiko, Ishihara, Junko, Yamamoto, Junpei, Hosoda, Takayuki, Kotemori, Ayaka, Ribeka Takachi, Nakamura, Kazutoshi, Junta Tanaka, Yamaji, Taiki, Shimazu, Taichi, Ishii, Yuri, Sawada, Norie, Iwasaki, Motoki, Iso, Hiroyasu, Sobue, Tomotaka, and Tsugane, Shoichiro
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Additional file 2 : Table S2. Contribution of food groups to total acrylamide intake estimated using dietary records.
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- 2020
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5. Additional file 1 of Variations in the estimated intake of acrylamide from food in the Japanese population
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Kito, Kumiko, Ishihara, Junko, Yamamoto, Junpei, Hosoda, Takayuki, Kotemori, Ayaka, Ribeka Takachi, Nakamura, Kazutoshi, Junta Tanaka, Yamaji, Taiki, Shimazu, Taichi, Ishii, Yuri, Sawada, Norie, Iwasaki, Motoki, Iso, Hiroyasu, Sobue, Tomotaka, and Tsugane, Shoichiro
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digestive, oral, and skin physiology - Abstract
Additional file 1 : Table S1. Evaluation of the relationships between dietary records, food frequency questionnaires used for the validation analysis, and food frequency questionnaires.
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- 2020
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6. Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes
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Malik, Rainer, Chauhan, Ganesh, Anderson, Christopher D, Salomaa, Veikko, Sapkota, Bishwa R, Schmidt, Reinhold, Schmidt, Carsten O, Schminke, Ulf, Sharma, Pankaj, Slowik, Agnieszka, Sudlow, Cathie L M, Tanislav, Christian, Tatlisumak, Turgut, Chong, Michael, Taylor, Kent D, Thijs, Vincent N S, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Tiedt, Steffen, Trompet, Stella, Tzourio, Christophe, van Duijn, Cornelia M, Walters, Matthew, Wareham, Nicholas J, Adams, Hieab H H, Wassertheil-Smoller, Sylvia, Wilson, James G, Wiggins, Kerri L, Yang, Qiong, Yusuf, Salim, Consortium, AFGen, Epidemiology, Cohorts for Heart and Aging Research in Genomic, Pressure, International Genomics of Blood, Consortium, INVENT, STARNET, Ago, Tetsuro, Bis, Joshua C, Pastinen, Tomi, Ruusalepp, Arno, Schadt, Eric E, Koplev, Simon, Björkegren, Johan L M, Codoni, Veronica, Civelek, Mete, Smith, Nicholas L, Trégouët, David A, Almgren, Peter, Christophersen, Ingrid E, Roselli, Carolina, Lubitz, Steven A, Ellinor, Patrick T, Tai, E Shyong, Kooner, Jaspal S, Kato, Norihiro, He, Jiang, van der Harst, Pim, Elliott, Paul, Amouyel, Philippe, Chambers, John C, Takeuchi, Fumihiko, Johnson, Andrew D, Group, BioBank Japan Cooperative Hospital, Consortium, COMPASS, Consortium, EPIC-CVD, Consortium, EPIC-InterAct, Consortium, International Stroke Genetics, Consortium, METASTROKE, Consortium, Neurology Working Group of the CHARGE, Ay, Hakan, Network, NINDS Stroke Genetics, Study, UK Young Lacunar DNA, Consortium, MEGASTROKE, Sanghera, Dharambir K, Melander, Olle, Jern, Christina, Strbian, Daniel, Fernandez-Cadenas, Israel, Longstreth, W. T., Rolfs, Arndt, Bartz, Traci M, Hata, Jun, Woo, Daniel, Rosand, Jonathan, Pare, Guillaume, Hopewell, Jemma C, Saleheen, Danish, Stefansson, Kari, Worrall, Bradford B, Kittner, Steven J, Seshadri, Sudha, Benavente, Oscar R, Fornage, Myriam, Markus, Hugh S, Howson, Joanna M M, Kamatani, Yoichiro, Debette, Stephanie, Dichgans, Martin, Traylor, Matthew, Sargurupremraj, Muralidharan, Bevan, Steve, Okada, Yukinori, Mishra, Aniket, Rutten-Jacobs, Loes, Giese, Anne-Katrin, van der Laan, Sander W, Gretarsdottir, Solveig, Boncoraglio, Giorgio B, Brown, Robert D, Butterworth, Adam S, Carrera, Caty, Carty, Cara L, Chasman, Daniel I, Chen, Wei-Min, Cole, John W, Correa, Adolfo, Cotlarciuc, Ioana, Cruchaga, Carlos, Danesh, John, de Bakker, Paul I W, DeStefano, Anita L, Hoed, Marcel den, Duan, Qing, Engelter, Stefan T, Falcone, Guido J, Gottesman, Rebecca F, Grewal, Raji P, Gudnason, Vilmundur, Gustafsson, Stefan, Haessler, Jeffrey, Harris, Tamara B, Hassan, Ahamad, Havulinna, Aki S, Heckbert, Susan R, Holliday, Elizabeth G, Howard, George, Hsu, Fang-Chi, Hyacinth, Hyacinth I, Ikram, M Arfan, Ingelsson, Erik, Irvin, Marguerite R, Jian, Xueqiu, Jiménez-Conde, Jordi, Johnson, Julie A, Jukema, J Wouter, Kanai, Masahiro, Keene, Keith L, Kissela, Brett M, Kleindorfer, Dawn O, Kooperberg, Charles, Kubo, Michiaki, Lange, Leslie A, Langefeld, Carl D, Langenberg, Claudia, Launer, Lenore J, Lee, Jin-Moo, Lemmens, Robin, Leys, Didier, Lewis, Cathryn M, Lin, Wei-Yu, Lindgren, Arne G, Lorentzen, Erik, Magnusson, Patrik K, Maguire, Jane, Manichaikul, Ani, McArdle, Patrick F, Meschia, James F, Mitchell, Braxton D, Mosley, Thomas H, Nalls, Michael A, Ninomiya, Toshiharu, O'Donnell, Martin J, Psaty, Bruce M, Pulit, Sara L, Rannikmäe, Kristiina, Reiner, Alexander P, Rexrode, Kathryn M, Rice, Kenneth, Rich, Stephen S, Ridker, Paul M, Rost, Natalia S, Rothwell, Peter M, Rotter, Jerome I, Rundek, Tatjana, Sacco, Ralph L, Sakaue, Saori, Sale, Michele M, Amin, Najaf, Aparicio, Hugo S, Arnett, Donna K, Attia, John, Beiser, Alexa S, Berr, Claudine, Buring, Julie E, Bustamante, Mariana, Caso, Valeria, Cheng, Yu-Ching, Choi, Seung Hoan, Chowhan, Ayesha, Cullell, Natalia, Dartigues, Jean-François, Delavaran, Hossein, Delgado, Pilar, Dörr, Marcus, Engström, Gunnar, Ford, Ian, Gurpreet, Wander S, Hamsten, Anders, Heitsch, Laura, Hozawa, Atsushi, Ibanez, Laura, Ilinca, Andreea, Ingelsson, Martin, Iwasaki, Motoki, Jackson, Rebecca D, Jood, Katarina, den Hoed, Marcel, Jousilahti, Pekka, Kaffashian, Sara, Kalra, Lalit, Kamouchi, Masahiro, Kitazono, Takanari, Kjartansson, Olafur, Kloss, Manja, Koudstaal, Peter J, Krupinski, Jerzy, Labovitz, Daniel L, Laurie, Cathy C, Levi, Christopher R, Li, Linxin, Lind, Lars, Lindgren, Cecilia M, Lioutas, Vasileios, Liu, Yong Mei, Lopez, Oscar L, Makoto, Hirata, Martinez-Majander, Nicolas, Matsuda, Koichi, Minegishi, Naoko, Montaner, Joan, Morris, Andrew P, Muiño, Elena, Müller-Nurasyid, Martina, Norrving, Bo, Ogishima, Soichi, Parati, Eugenio A, Peddareddygari, Leema Reddy, Pedersen, Nancy L, Pera, Joanna, Perola, Markus, Pezzini, Alessandro, Pileggi, Silvana, Rabionet, Raquel, Riba-Llena, Iolanda, Ribasés, Marta, Romero, Jose R, Roquer, Jaume, Rudd, Anthony G, Sarin, Antti-Pekka, Sarju, Ralhan, Sarnowski, Chloe, Sasaki, Makoto, Satizabal, Claudia L, Satoh, Mamoru, Sattar, Naveed, Sawada, Norie, Sibolt, Gerli, Sigurdsson, Ásgeir, Smith, Albert, Sobue, Kenji, Soriano-Tárraga, Carolina, Stanne, Tara, Stine, O Colin, Stott, David J, Strauch, Konstantin, Takai, Takako, Tanaka, Hideo, Tanno, Kozo, Teumer, Alexander, Tomppo, Liisa, Torres-Aguila, Nuria P, Touze, Emmanuel, Tsugane, Shoichiro, Uitterlinden, Andre G, Valdimarsson, Einar M, van der Lee, Sven J, Völzke, Henry, Wakai, Kenji, Weir, David, Williams, Stephen R, Wolfe, Charles D A, Wong, Quenna, Xu, Huichun, Yamaji, Taiki, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Pathology, Epidemiology, Radiology & Nuclear Medicine, Cardiovascular Centre (CVC), Universitat de Barcelona, Traylor, Matthew [0000-0001-6624-8621], Okada, Yukinori [0000-0002-0311-8472], Rutten-Jacobs, Loes [0000-0003-3223-885X], van der Laan, Sander W [0000-0001-6888-1404], Adams, Hieab HH [0000-0003-3687-2508], Almgren, Peter [0000-0002-0473-0241], Amouyel, Philippe [0000-0001-9088-234X], Correa, Adolfo [0000-0002-9501-600X], Cruchaga, Carlos [0000-0002-0276-2899], den Hoed, Marcel [0000-0001-8081-428X], Gustafsson, Stefan [0000-0001-5894-0351], Havulinna, Aki S [0000-0002-4787-8959], Ikram, M Arfan [0000-0003-0372-8585], Jukema, J Wouter [0000-0002-3246-8359], Kanai, Masahiro [0000-0001-5165-4408], Lewis, Cathryn M [0000-0002-8249-8476], Lin, Wei-Yu [0000-0002-9267-7988], Magnusson, Patrik K [0000-0002-7315-7899], Pulit, Sara L [0000-0002-2502-3669], Wiggins, Kerri L [0000-0003-2749-1279], Yang, Qiong [0000-0002-3658-1375], Schadt, Eric E [0000-0002-7892-8808], Koplev, Simon [0000-0002-8586-5614], Civelek, Mete [0000-0002-8141-0284], Trégouët, David A [0000-0001-9084-7800], Christophersen, Ingrid E [0000-0002-6141-4712], Roselli, Carolina [0000-0001-5267-6756], Ellinor, Patrick T [0000-0002-2067-0533], van der Harst, Pim [0000-0002-2713-686X], Elliott, Paul [0000-0002-7511-5684], Takeuchi, Fumihiko [0000-0003-3185-5661], Jern, Christina [0000-0002-7531-2354], Saleheen, Danish [0000-0001-6193-020X], Kamatani, Yoichiro [0000-0001-8748-5597], Dichgans, Martin [0000-0002-0654-387X], and Apollo - University of Cambridge Repository
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Male ,0301 basic medicine ,COMPASS Consortium ,Linkage disequilibrium ,Candidate gene ,UK Young Lacunar DNA Study ,Genome-wide association study ,SEPIA ,Linkage Disequilibrium ,Epigenesis, Genetic ,classification [Stroke] ,International Stroke Genetics Consortium (ISGC) ,0302 clinical medicine ,INDEL Mutation ,HEMORRHAGIC STROKE ,Risk Factors ,Pleiotropy ,Databases, Genetic ,Neurology Working Group of the CHARGE Consortium ,WHITE-MATTER HYPERINTENSITIES ,Gene Regulatory Networks ,Stroke ,Genetics & Heredity ,Genetics ,International Genomics of Blood Pressure (iGEN-BP) Consortium ,physiopathology [Stroke] ,AFGen Consortium ,11 Medical And Health Sciences ,Genomics ,3. Good health ,[MEGASTROKE Consortium] ,ISCHEMIC-STROKE ,VINTAGE ,genetics [Stroke] ,CORONARY-ARTERY-DISEASE ,Medical genetics ,Female ,EPIC-InterAct Consortium ,MEGASTROKE Consortium ,Life Sciences & Biomedicine ,Gens ,medicine.medical_specialty ,SUSCEPTIBILITY LOCI ,STARNET ,INVENT Consortium ,SMALL-VESSEL DISEASE ,Biology ,Polymorphism, Single Nucleotide ,EPIC-CVD Consortium ,Article ,Chromosomes ,HUMAN GENETIC-VARIATION ,NINDS Stroke Genetics Network (SiGN) ,03 medical and health sciences ,ddc:570 ,Genetic variation ,medicine ,Humans ,Genetic Predisposition to Disease ,Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium ,Science & Technology ,Models, Genetic ,COMPLEX TRAITS ,Computational Biology ,06 Biological Sciences ,medicine.disease ,METASTROKE Consortium ,Human genetics ,Cromosomes ,BioBank Japan Cooperative Hospital Group ,Genòmica ,030104 developmental biology ,Genes ,Genetic Loci ,ATRIAL-FIBRILLATION ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,SUDDEN CARDIAC DEATH ,030217 neurology & neurosurgery ,Developmental Biology ,Genome-Wide Association Study - Abstract
Stroke has multiple etiologies, but the underlying genes and pathways are largely unknown. We conducted a multiancestry genome-wide-association meta-analysis in 521,612 individuals (67,162 cases and 454,450 controls) and discovered 22 new stroke risk loci, bringing the total to 32. We further found shared genetic variation with related vascular traits, including blood pressure, cardiac traits, and venous thromboembolism, at individual loci (n = 18), and using genetic risk scores and linkage-disequilibrium-score regression. Several loci exhibited distinct association and pleiotropy patterns for etiological stroke sub-types. Eleven new susceptibility loci indicate mechanisms not previously implicated in stroke pathophysiology, with prioritization of risk variants and genes accomplished through bioinformatics analyses using extensive functional datasets. Stroke risk loci were significantly enriched in drug targets for antithrombotic therapy.
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- 2018
7. Heterogeneity of Associations between Total and Types of Fish Intake and the Incidence of Type 2 Diabetes: Federated Meta-Analysis of 28 Prospective Studies Including 956,122 Participants
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Pastorino, Silvia, Bishop, Tom, Sharp, Stephen J, Pearce, Matthew, Akbaraly, Tasnime, Barbieri, Natalia B, Bes-Rastrollo, Maira, Beulens, Joline WJ, Chen, Zhengming, Du, Huaidong, Duncan, Bruce B, Goto, Atsushi, Härkänen, Tommi, Hashemian, Maryam, Kromhout, Daan, Järvinen, Ritva, Kivimaki, Mika, Knekt, Paul, Lin, Xu, Lund, Eiliv, Magliano, Dianna J, Malekzadeh, Reza, Martínez-González, Miguel Ángel, O'Donoghue, Gráinne, O'Gorman, Donal, Poustchi, Hossein, Rylander, Charlotta, Sawada, Norie, Shaw, Jonathan E, Schmidt, Maria, Soedamah-Muthu, Sabita S, Sun, Liang, Wen, Wanqing, Wolk, Alicja, Shu, Xiao-Ou, Zheng, Wei, Wareham, Nicholas J, and Forouhi, Nita G
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2. Zero hunger ,fish ,Male ,Incidence ,Fishes ,Feeding Behavior ,prospective studies ,3. Good health ,Diabetes Mellitus, Type 2 ,federated meta-analysis ,Confidence Intervals ,Animals ,Humans ,Female ,type 2 diabetes - Abstract
The association between fish consumption and new-onset type 2 diabetes is inconsistent and differs according to geographical location. We examined the association between the total and types of fish consumption and type 2 diabetes using individual participant data from 28 prospective cohort studies from the Americas (6), Europe (15), the Western Pacific (6), and the Eastern Mediterranean (1) comprising 956,122 participants and 48,084 cases of incident type 2 diabetes. Incidence rate ratios (IRRs) for associations of total fish, shellfish, fatty, lean, fried, freshwater, and saltwater fish intake and type 2 diabetes were derived for each study, adjusting for a consistent set of confounders and combined across studies using random-effects meta-analysis. We stratified all analyses by sex due to observed interaction (p = 0.002) on the association between fish and type 2 diabetes. In women, for each 100 g/week higher intake the IRRs (95% CIs) of type 2 diabetes were 1.02 (1.01-1.03, I2 = 61%) for total fish, 1.04 (1.01-1.07, I2 = 46%) for fatty fish, and 1.02 (1.00-1.04, I2 = 33%) for lean fish. In men, all associations were null. In women, we observed variation by geographical location: IRRs for total fish were 1.03 (1.02-1.04, I2 = 0%) in the Americas and null in other regions. In conclusion, we found evidence of a neutral association between total fish intake and type 2 diabetes in men, but there was a modest positive association among women with heterogeneity across studies, which was partly explained by geographical location and types of fish intake. Future research should investigate the role of cooking methods, accompanying foods and environmental pollutants, but meanwhile, existing dietary regional, national, or international guidelines should continue to guide fish consumption within overall healthy dietary patterns.
8. Burden of Total and Cause-Specific Mortality Related to Tobacco Smoking among Adults Aged ≥45 Years in Asia: A Pooled Analysis of 21 Cohorts
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Zheng, Wei, McLerran, Dale F., Rolland, Betsy A., Fu, Zhenming, Boffetta, Paolo, He, Jiang, Gupta, Prakash Chandra, Ramadas, Kunnambath, Tsugane, Shoichiro, Irie, Fujiko, Tamakoshi, Akiko, Gao, Yu-Tang, Koh, Woon-Puay, Shu, Xiao-Ou, Ozasa, Kotaro, Nishino, Yoshikazu, Tsuji, Ichiro, Tanaka, Hideo, Chen, Chien-Jen, Yuan, Jian-Min, Ahn, Yoon-Ok, Yoo, Keun-Young, Ahsan, Habibul, Pan, Wen-Harn, Qiao, You-Lin, Gu, Dongfeng, Pednekar, Mangesh Suryakant, Sauvaget, Catherine, Sawada, Norie, Sairenchi, Toshimi, Yang, Gong, Wang, Renwei, Xiang, Yong-Bing, Ohishi, Waka, Kakizaki, Masako, Watanabe, Takashi, Oze, Isao, You, San-Lin, Sugawara, Yumi, Butler, Lesley M., Kim, Dong-Hyun, Park, Sue K., Parvez, Faruque, Chuang, Shao-Yuan, Fan, Jin-Hu, Shen, Chen-Yang, Chen, Yu, Grant, Eric J., Lee, Jung Eun, SInha, Rashmi, Matsuo, Keitaro, Thornquist, Mark, Inoue, Manami, Feng, Ziding, Kang, Daehee, and Potter, John D.
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Tobacco use ,Public health ,Epidemiology ,Smoking ,Tobacco use--Mortality ,Tobacco ,1. No poverty ,Cigarette smokers--Mortality ,Tobacco--Health aspects ,3. Good health ,Smoking--Mortality - Abstract
Background: Tobacco smoking is a major risk factor for many diseases. We sought to quantify the burden of tobacco-smoking-related deaths in Asia, in parts of which men's smoking prevalence is among the world's highest. Methods and Findings: We performed pooled analyses of data from 1,049,929 participants in 21 cohorts in Asia to quantify the risks of total and cause-specific mortality associated with tobacco smoking using adjusted hazard ratios and their 95% confidence intervals. We then estimated smoking-related deaths among adults aged ≥45 y in 2004 in Bangladesh, India, mainland China, Japan, Republic of Korea, Singapore, and Taiwan—accounting for ∼71% of Asia's total population. An approximately 1.44-fold (95% CI = 1.37–1.51) and 1.48-fold (1.38–1.58) elevated risk of death from any cause was found in male and female ever-smokers, respectively. In 2004, active tobacco smoking accounted for approximately 15.8% (95% CI = 14.3%–17.2%) and 3.3% (2.6%–4.0%) of deaths, respectively, in men and women aged ≥45 y in the seven countries/regions combined, with a total number of estimated deaths of ∼1,575,500 (95% CI = 1,398,000–1,744,700). Among men, approximately 11.4%, 30.5%, and 19.8% of deaths due to cardiovascular diseases, cancer, and respiratory diseases, respectively, were attributable to tobacco smoking. Corresponding proportions for East Asian women were 3.7%, 4.6%, and 1.7%, respectively. The strongest association with tobacco smoking was found for lung cancer: a 3- to 4-fold elevated risk, accounting for 60.5% and 16.7% of lung cancer deaths, respectively, in Asian men and East Asian women aged ≥45 y. Conclusions: Tobacco smoking is associated with a substantially elevated risk of mortality, accounting for approximately 2 million deaths in adults aged ≥45 y throughout Asia in 2004. It is likely that smoking-related deaths in Asia will continue to rise over the next few decades if no effective smoking control programs are implemented.
9. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight
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NCD Risk Factor Collaboration (NCD-RisC), Iurilli, Maria LC, Zhou, Bin, Bennett, James E, Carrillo-Larco, Rodrigo M, Sophiea, Marisa K, Rodriguez-Martinez, Andrea, Bixby, Honor, Solomon, Bethlehem D, Taddei, Cristina, Danaei, Goodarz, Di Cesare, Mariachiara, Stevens, Gretchen A, Riley, Leanne M, Savin, Stefan, Cowan, Melanie J, Bovet, Pascal, Damasceno, Albertino, Chirita-Emandi, Adela, Hayes, Alison J, Ikeda, Nayu, Jackson, Rod T, Khang, Young-Ho, Laxmaiah, Avula, Liu, Jing, Miranda, J Jaime, Saidi, Olfa, Sebert, Sylvain, Sorić, Maroje, Starc, Gregor, Gregg, Edward W, Abarca-Gómez, Leandra, Abdeen, Ziad A, Abdrakhmanova, Shynar, Ghaffar, Suhaila Abdul, Rahim, Hanan F Abdul, Abu-Rmeileh, Niveen M, Garba, Jamila Abubakar, Acosta-Cazares, Benjamin, Adams, Robert J, Aekplakorn, Wichai, Afsana, Kaosar, Afzal, Shoaib, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Aguilar-Salinas, Carlos A, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmad, Noor Ani, Ahmadi, Ali, Ahmadi, Naser, Ahmed, Soheir H, Ahrens, Wolfgang, Aitmurzaeva, Gulmira, Ajlouni, Kamel, Al-Hazzaa, Hazzaa M, Al-Lahou, Badreya, Al-Raddadi, Rajaa, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Ali, Mohamed M, Alkandari, Abdullah, Alkerwi, Ala'a, Allin, Kristine, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N, Amiri, Parisa, Amougou, Norbert, Amouyel, Philippe, Bo Andersen, Lars, Anderssen, Sigmund A, Ängquist, Lars, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Aounallah-Skhiri, Hajer, Araújo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Aspelund, Thor, Assah, Felix K, Assunção, Maria Cecília F, Aung, May Soe, Auvinen, Juha, Avdicová, Mária, Avi, Shina, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Azmin, Mehrdad, Babu, Bontha V, Jørgensen, Maja Bæksgaard, Baharudin, Azli, Bahijri, Suhad, Baker, Jennifer L, Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, José R, Baran, Joanna, Barbagallo, Carlo M, Barceló, Alberto, Barkat, Amina, Barros, Aluisio JD, Barros, Mauro Virgílio Gomes, Basit, Abdul, Bastos, Joao Luiz D, Bata, Iqbal, Batieha, Anwar M, Batista, Rosangela L, Battakova, Zhamilya, Batyrbek, Assembekov, Baur, Louise A, Beaglehole, Robert, Bel-Serrat, Silvia, Belavendra, Antonisamy, Romdhane, Habiba Ben, Benedics, Judith, Benet, Mikhail, Bergh, Ingunn Holden, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bernotiene, Gailute, Bettiol, Heloísa, Bezerra, Jorge, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K, Bhutta, Zulfiqar A, Bi, Hongsheng, Bi, Yufang, Bia, Daniel, Lele, Elysée Claude Bika, Bikbov, Mukharram M, Bista, Bihungum, Bjelica, Dusko J, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B, Björkelund, Cecilia, Bloch, Katia V, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boddy, Lynne M, Boehm, Bernhard O, Boeing, Heiner, Boggia, Jose G, Bogova, Elena, Boissonnet, Carlos P, Bojesen, Stig E, Bonaccio, Marialaura, Bongard, Vanina, Bonilla-Vargas, Alice, 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Rojroongwasinkul, Nipa, Romaguera, Dora, Romeo, Elisabetta L, Rosario, Rafaela V, Rosengren, Annika, Rouse, Ian, Roy, Joel GR, Rubinstein, Adolfo, Rühli, Frank J, Ruidavets, Jean-Bernard, Ruiz-Betancourt, Blanca Sandra, Ruiz-Castell, Maria, Moreno, Emma Ruiz, Rusakova, Iuliia A, Jonsson, Kenisha Russell, Russo, Paola, Rust, Petra, Rutkowski, Marcin, Sabanayagam, Charumathi, Sacchini, Elena, Sachdev, Harshpal S, Sadjadi, Alireza, Safarpour, Ali Reza, Safiri, Saeid, Saki, Nader, Salanave, Benoit, Martinez, Eduardo Salazar, Salmerón, Diego, Salomaa, Veikko, Salonen, Jukka T, Salvetti, Massimo, Samoutian, Margarita, Sánchez-Abanto, Jose, Sandjaja, Sans, Susana, Marina, Loreto Santa, Santos, Diana A, Santos, Ina S, Santos, Lèlita C, Santos, Maria Paula, Santos, Osvaldo, Santos, Rute, Sanz, Sara Santos, Saramies, Jouko L, Sardinha, Luis B, Sarrafzadegan, Nizal, Sathish, Thirunavukkarasu, Saum, Kai-Uwe, Savva, Savvas, Savy, Mathilde, Sawada, Norie, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D, Rosario, Angelika Schaffrath, Schargrodsky, Herman, Schienkiewitz, Anja, Schipf, Sabine, Schmidt, Carsten O, Schmidt, Ida Maria, Schnohr, Peter, Schöttker, Ben, Schramm, Sara, Schramm, Stine, Schröder, Helmut, Schultsz, Constance, Schutte, Aletta E, Sein, Aye Aye, Selamat, Rusidah, Sember, Vedrana, Sen, Abhijit, Senbanjo, Idowu O, Sepanlou, Sadaf G, Sequera, Victor, Serra-Majem, Luis, Servais, Jennifer, Ševcíková, Ludmila, Shalnova, Svetlana A, Shamah-Levy, Teresa, Shamshirgaran, Morteza, Shanthirani, Coimbatore Subramaniam, Sharafkhah, Maryam, Sharma, Sanjib K, Shaw, Jonathan E, Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shengelia, Lela, Shi, Zumin, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shin, Dong Wook, Shirani, Majid, Shiri, Rahman, Shrestha, Namuna, Si-Ramlee, Khairil, Siani, Alfonso, Siantar, Rosalynn, Sibai, Abla M, Silva, Antonio M, Silva, Diego Augusto Santos, Simon, Mary, Simons, Judith, Simons, Leon A, Sjöberg, Agneta, Sjöström, Michael, Skodje, Gry, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Smeeth, Liam, So, Hung-Kwan, Soares, Fernanda Cunha, Sobek, Grzegorz, Sobngwi, Eugène, Sodemann, Morten, Söderberg, Stefan, Soekatri, Moesijanti YE, Soemantri, Agustinus, Sofat, Reecha, Solfrizzi, Vincenzo, Somi, Mohammad Hossein, Sonestedt, Emily, Song, Yi, Sørensen, Thorkild IA, Sørgjerd, Elin P, Jérome, Charles Sossa, Soto-Rojas, Victoria E, Soumaré, Aïcha, Sovic, Slavica, Sparboe-Nilsen, Bente, Sparrenberger, Karen, Spinelli, Angela, Spiroski, Igor, Staessen, Jan A, Stamm, Hanspeter, Stathopoulou, Maria G, Staub, Kaspar, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D, Stergiou, George S, Stessman, Jochanan, Stevanovic, Ranko, Stieber, Jutta, Stöckl, Doris, Stocks, Tanja, Stokwiszewski, Jakub, Stoyanova, Ekaterina, Stratton, Gareth, Stronks, Karien, Strufaldi, Maria Wany, Sturua, Lela, Suárez-Medina, Ramón, Suka, Machi, Sun, Chien-An, Sundström, Johan, Sung, Yn-Tz, Sunyer, Jordi, Suriyawongpaisal, Paibul, Swinburn, Boyd A, Sy, Rody G, Syddall, Holly E, Sylva, René Charles, Szklo, Moyses, Szponar, Lucjan, Tai, E Shyong, Tammesoo, Mari-Liis, Tamosiunas, Abdonas, Tan, Eng Joo, Tang, Xun, Tanrygulyyeva, Maya, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarp, Jakob, Tarqui-Mamani, Carolina B, Braunerová, Radka Taxová, Taylor, Anne, Taylor, Julie, Tchibindat, Félicité, Tebar, William R, Tell, Grethe S, Tello, Tania, Tham, Yih Chung, Thankappan, KR, Theobald, Holger, Theodoridis, Xenophon, Thijs, Lutgarde, Thomas, Nihal, Thuesen, Betina H, Tichá, Lubica, Timmermans, Erik J, Tjonneland, Anne, Tolonen, Hanna K, Tolstrup, Janne S, Topbas, Murat, Topór-Madry, Roman, Torheim, Liv Elin, Tormo, María José, Tornaritis, Michael J, Torrent, Maties, Torres-Collado, Laura, Toselli, Stefania, Touloumi, Giota, Traissac, Pierre, Tran, Thi Tuyet-Hanh, Trichopoulos, Dimitrios, Trichopoulou, Antonia, Trinh, Oanh TH, Trivedi, Atul, Tshepo, Lechaba, Tsigga, Maria, Tsugane, Shoichiro, Tuliakova, Azaliia M, Tulloch-Reid, Marshall K, Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Turley, Maria L, Twig, Gilad, Tynelius, Per, Tzotzas, Themistoklis, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice, Ukoli, Flora AM, Ulmer, Hanno, Unal, Belgin, Usupova, Zhamyila, Uusitalo, Hannu MT, Uysal, Nalan, Vaitkeviciute, Justina, Valdivia, Gonzalo, Vale, Susana, Valvi, Damaskini, Van Dam, Rob M, Van Der Heyden, Johan, Van Der Schouw, Yvonne T, Van Herck, Koen, Van Minh, Hoang, Van Schoor, Natasja M, Van Valkengoed, Irene GM, Vanderschueren, Dirk, Vanuzzo, Diego, Varbo, Anette, Varela-Moreiras, Gregorio, Varona-Pérez, Patricia, Vasan, Senthil K, Vega, Tomas, Veidebaum, Toomas, Velasquez-Melendez, Gustavo, Velika, Biruta, Veronesi, Giovanni, Verschuren, WM Monique, Victora, Cesar G, Viegi, Giovanni, Viet, Lucie, Villalpando, Salvador, Vineis, Paolo, Vioque, Jesus, Virtanen, Jyrki K, Visser, Marjolein, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vladulescu, Mihaela, Vlasoff, Tiina, Vocanec, Dorja, Vollenweider, Peter, Völzke, Henry, Voutilainen, Ari, Voutilainen, Sari, Vrijheid, Martine, Vrijkotte, Tanja GM, Wade, Alisha N, Wagner, Aline, Waldhör, Thomas, Walton, Janette, Wambiya, Elvis OA, Bebakar, Wan Mohamad Wan, Mohamud, Wan Nazaimoon Wan, De Souza Wanderley Júnior, Rildo, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nicholas, Weber, Adelheid, Wedderkopp, Niels, Weerasekera, Deepa, Weghuber, Daniel, Wei, Wenbin, Weres, Aneta, Werner, Bo, Whincup, Peter H, Widhalm, Kurt, Widyahening, Indah S, Wiecek, Andrzej, Wilks, Rainford J, Willeit, Johann, Willeit, Peter, Williams, Julianne, Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A, Wong, Andrew, Wong, Jyh Eiin, Wong, Tien Yin, Woo, Jean, Woodward, Mark, Wu, Frederick C, Wu, Jianfeng, Wu, Li Juan, Wu, Shouling, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yamborisut, Uruwan, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yardim, Nazan, Yaseri, Mehdi, Yasuharu, Tabara, Ye, Xingwang, Yiallouros, Panayiotis K, Yoosefi, Moein, Yoshihara, Akihiro, You, Qi Sheng, You, San-Lin, Younger-Coleman, Novie O, Md Yusof, Safiah, Yusoff, Ahmad Faudzi, Zaccagni, Luciana, Zafiropulos, Vassilis, Zainuddin, Ahmad A, Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Zamrazilová, Hana, Zapata, Maria Elisa, Zargar, Abdul Hamid, Ko Zaw, Ko, Zdrojewski, Tomasz, Zejglicova, Kristyna, Vrkic, Tajana Zeljkovic, Zeng, Yi, Zhang, Luxia, Zhang, Zhen-Yu, Zhao, Dong, Zhao, Ming-Hui, Zhao, Wenhua, Zhen, Shiqi, Zheng, Wei, Zheng, Yingfeng, Zholdin, Bekbolat, Zhou, Maigeng, Zhu, Dan, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Cisneros, Julio Zuñiga, Zuziak, Monika, Ezzati, Majid, and Filippi, Sarah
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2. Zero hunger ,obesity ,BMI ,Epidemiology and Global Health ,underweight ,None ,1. No poverty ,3. Good health ,Research Article - Abstract
Funder: Wellcome Trust; FundRef: http://dx.doi.org/10.13039/100004440, Funder: Medical Research Council; FundRef: http://dx.doi.org/10.13039/501100000265, From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions.
10. Heterogeneity of Associations between Total and Types of Fish Intake and the Incidence of Type 2 Diabetes: Federated Meta-Analysis of 28 Prospective Studies Including 956,122 Participants
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Pastorino, Silvia, Bishop, Tom, Sharp, Stephen J., Pearce, Matthew, Akbaraly, Tasnime, Barbieri, Natalia B., Bes-Rastrollo, Maira, Beulens, Joline W. J., Chen, Zhengming, Du, Huaidong, Duncan, Bruce B., Goto, Atsushi, Härkänen, Tommi, Hashemian, Maryam, Kromhout, Daan, Järvinen, Ritva, Kivimaki, Mika, Knekt, Paul, Lin, Xu, Lund, Eiliv, Magliano, Dianna J., Malekzadeh, Reza, Martínez-González, Miguel Ángel, O’Donoghue, Gráinne, O’Gorman, Donal, Poustchi, Hossein, Rylander, Charlotta, Sawada, Norie, Shaw, Jonathan E., Schmidt, Maria, Soedamah-Muthu, Sabita S., Sun, Liang, Wen, Wanqing, Wolk, Alicja, Shu, Xiao-Ou, Zheng, Wei, Wareham, Nicholas J., and Forouhi, Nita G.
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2. Zero hunger ,fish ,federated meta-analysis ,type 2 diabetes ,prospective studies ,3. Good health - Abstract
The association between fish consumption and new-onset type 2 diabetes is inconsistent and differs according to geographical location. We examined the association between the total and types of fish consumption and type 2 diabetes using individual participant data from 28 prospective cohort studies from the Americas (6), Europe (15), the Western Pacific (6), and the Eastern Mediterranean (1) comprising 956,122 participants and 48,084 cases of incident type 2 diabetes. Incidence rate ratios (IRRs) for associations of total fish, shellfish, fatty, lean, fried, freshwater, and saltwater fish intake and type 2 diabetes were derived for each study, adjusting for a consistent set of confounders and combined across studies using random-effects meta-analysis. We stratified all analyses by sex due to observed interaction (p = 0.002) on the association between fish and type 2 diabetes. In women, for each 100 g/week higher intake the IRRs (95% CIs) of type 2 diabetes were 1.02 (1.01–1.03, I2 = 61%) for total fish, 1.04 (1.01–1.07, I2 = 46%) for fatty fish, and 1.02 (1.00–1.04, I2 = 33%) for lean fish. In men, all associations were null. In women, we observed variation by geographical location: IRRs for total fish were 1.03 (1.02–1.04, I2 = 0%) in the Americas and null in other regions. In conclusion, we found evidence of a neutral association between total fish intake and type 2 diabetes in men, but there was a modest positive association among women with heterogeneity across studies, which was partly explained by geographical location and types of fish intake. Future research should investigate the role of cooking methods, accompanying foods and environmental pollutants, but meanwhile, existing dietary regional, national, or international guidelines should continue to guide fish consumption within overall healthy dietary patterns.
11. Coffee and tea consumption and mortality from all causes, cardiovascular disease and cancer: a pooled analysis of prospective studies from the Asia Cohort Consortium
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You-Lin Qiao, Sangah Shin, John D. Potter, Ichiro Tsuji, Norie Sawada, Sue K. Park, Kotaro Ozasa, Daehee Kang, Manami Inoue, Nathaniel Rothman, Aesun Shin, Jung Eun Lee, Keitaro Matsuo, Habibul Ahsan, Hui Cai, Sarah Krull Abe, Hidemi Ito, Yasutake Tomata, Erikka Loftfield, Woon-Puay Koh, Wei Zheng, Atsuko Sadakane, Shoichiro Tsugane, Rashedul Islam, Keun-Young Yoo, Shafiur Rahman, Eiko Saito, Paolo Boffetta, Yumi Sugawara, Kee Seng Chia, Yoon-Ok Ahn, Yong-Bing Xiang, Seiki Kanemura, Rashmi Sinha, Myung-Hee Shin, Jian-Min Yuan, Isao Oze, Xiao-Ou Shu, Shin, Sangah, Lee, Jung Eun, Loftfield, Erikka, Shu, Xiao-Ou, Abe, Sarah Krull, Rahman, Md Shafiur, Saito, Eiko, Islam, Md Rashedul, Tsugane, Shoichiro, Sawada, Norie, Tsuji, Ichiro, Kanemura, Seiki, Sugawara, Yumi, Tomata, Yasutake, Sadakane, Atsuko, Ozasa, Kotaro, Oze, Isao, Ito, Hidemi, Shin, Myung-Hee, Ahn, Yoon-Ok, Park, Sue K, Shin, Aesun, Xiang, Yong-Bing, Cai, Hui, Koh, Woon-Puay, Yuan, Jian-Min, Yoo, Keun-Young, Chia, Kee Seng, Boffetta, Paolo, Ahsan, Habibul, Zheng, Wei, Inoue, Manami, Kang, Daehee, Potter, John D, Matsuo, Keitaro, Qiao, You-Lin, Rothman, Nathaniel, and Sinha, Rashmi
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Male ,Asia ,tea ,Epidemiology ,Disease ,Lower risk ,Coffee ,Cohort Studies ,Risk Factors ,Neoplasms ,Surveys and Questionnaires ,Humans ,Medicine ,Prospective Studies ,Prospective cohort study ,Proportional Hazards Models ,Consumption (economics) ,Asian ,business.industry ,Hazard ratio ,Cancer ,General Medicine ,medicine.disease ,mortality ,Confidence interval ,Miscellaneous ,Cardiovascular Diseases ,Cohort ,Female ,business ,Demography - Abstract
Background Accumulating evidence suggests that consuming coffee may lower the risk of death, but evidence regarding tea consumption in Asians is limited. We examined the association between coffee and tea consumption and mortality in Asian populations. Methods We used data from 12 prospective cohort studies including 248 050 men and 280 454 women from the Asia Cohort Consortium conducted in China, Japan, Korea and Singapore. We estimated the study-specific association of coffee, green tea and black tea consumption with mortality using Cox proportional-hazards regression models and the pooled study-specific hazard ratios (HRs) using a random-effects model. Results In total, 94 744 deaths were identified during the follow-up, which ranged from an average of 6.5 to 22.7 years. Compared with coffee non-drinkers, men and women who drank at least five cups of coffee per day had a 24% [95% confidence interval (CI) 17%, 29%] and a 28% (95% CI 19%, 37%) lower risk of all-cause mortality, respectively. Similarly, we found inverse associations for coffee consumption with cardiovascular disease (CVD)-specific and cancer-specific mortality among both men and women. Green tea consumption was associated with lower risk of mortality from all causes, CVD and other causes but not from cancer. The association of drinking green tea with CVD-specific mortality was particularly strong, with HRs (95% CIs) of 0.79 (0.68, 0.91) for men and 0.78 (0.68, 0.90) for women who drank at least five cups per day of green tea compared with non-drinkers. The association between black tea consumption and mortality was weak, with no clear trends noted across the categories of consumption. Conclusions In Asian populations, coffee consumption is associated with a lower risk of death overall and with lower risks of death from CVD and cancer. Green tea consumption is associated with lower risks of death from all causes and CVD.
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- 2021
12. Body Mass Index and Thyroid Cancer Risk: A Pooled Analysis of Half a Million Men and Women in the Asia Cohort Consortium
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Aesun Shin, Sooyoung Cho, Doeun Jang, Sarah Krull Abe, Eiko Saito, Md Shafiur Rahman, Md Rashedul Islam, Norie Sawada, Xiao-Ou Shu, Woon-Puay Koh, Atsuko Sadakane, Ichiro Tsuji, Yumi Sugawara, Hidemi Ito, Chisato Nagata, Sue K. Park, Jian-Min Yuan, Jeongseon Kim, Shoichiro Tsugane, Hui Cai, Wanqing Wen, Kotaro Ozasa, Sanae Matsuyama, Seiki Kanemura, Isao Oze, Keiko Wada, Renwei Wang, Keun-Young Yoo, John D. Potter, Habibul Ahsan, Paolo Boffetta, Kee Seng Chia, Keitaro Matsuo, You-Lin Qiao, Nathaniel Rothman, Wei Zheng, Manami Inoue, Daehee Kang, Shin, Aesun, Cho, Sooyoung, Jang, Doeun, Abe, Sarah Krull, Saito, Eiko, Rahman, Md Shafiur, Islam, Md Rashedul, Sawada, Norie, Shu, Xiao-Ou, Koh, Woon-Puay, Sadakane, Atsuko, Tsuji, Ichiro, Sugawara, Yumi, Ito, Hidemi, Nagata, Chisato, Park, Sue K, Yuan, Jian-Min, Kim, Jeongseon, Tsugane, Shoichiro, Cai, Hui, Wen, Wanqing, Ozasa, Kotaro, Matsuyama, Sanae, Kanemura, Seiki, Oze, Isao, Wada, Keiko, Wang, Renwei, Yoo, Keun-Young, Potter, John D, Ahsan, Habibul, Boffetta, Paolo, Chia, Kee Seng, Matsuo, Keitaro, Qiao, You-Lin, Rothman, Nathaniel, Zheng, Wei, Inoue, Manami, and Kang, Daehee
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Male ,cohort consortium ,obesity ,Asia ,Endocrinology, Diabetes and Metabolism ,Incidence ,Body Mass Index ,Cohort Studies ,Endocrinology ,Risk Factors ,thyroid cancer ,Humans ,Female ,Thyroid Neoplasms - Abstract
Background: Although previous meta-analyses have suggested a dose-response relationship between body mass index (BMI) and thyroid cancer risk, limited evidence has been presented about Asian populations. To assess this association among Asian populations, where underweight is more prevalent than in other regions, a pooled analysis from the Asia Cohort Consortium was conducted.Methods: Baseline height and weight were measured in five cohorts and self-reported in eight cohorts. Thyroid cancer incidence was ascertained by linkage to local cancer registries. Cohorts were treated as a stratum in the Cox proportional hazard model to estimate the pooled hazard ratios (HRs) and corresponding confidence intervals (CIs) from the estimates for each cohort. All analyses were stratified by sex.Results: A total of 538,857 men and women from 13 cohorts from mainland China, Korea, Japan, and Singapore were included in the analysis. During a mean of 15.1 years of follow-up, 1132 thyroid cancer cases were ascertained. Using a BMI of 18.5-22.9 kg/m(2) as a reference, an elevated risk of thyroid cancer was observed for groups with a BMI between 25 and 29.9 kg/m(2) (HR: 1.31, [CI: 0.95-1.80]) and a BMI of 30 kg/m(2) and greater (HR: 1.84, [CI: 0.89-3.81]) in men. Thyroid cancer risk was elevated in women with a BMI of 23-24.9 kg/m(2) (HR: 1.26, [CI: 1.07-1.48]). The HRs for 5-U increment of BMI showed a linear association among men (HR: 1.25, [CI 1.10-1.55]) but not among women (HR: 1.07, [CI: 0.97-1.18]). Although the overall thyroid cancer risk was lower among underweight men and women, the papillary cancer risk may be elevated among underweight men (HR: 2.24, [CI: 0.75-6.66]).Conclusion: While higher BMI is associated with an elevated risk of thyroid cancer in both men and women, the association of underweight BMI may differ by sex and histological subtype.
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- 2021
13. Heterogeneity of Associations between Total and Types of Fish Intake and the Incidence of Type 2 Diabetes: Federated Meta-Analysis of 28 Prospective Studies Including 956,122 Participants
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Tom R.P. Bishop, Grainne O'Donoghue, Matthew Pearce, Ritva Järvinen, Xu Lin, Wei Zheng, Daan Kromhout, Huaidong Du, Eiliv Lund, Joline W. J. Beulens, Nicholas J. Wareham, Miguel Ángel Martínez-González, Mika Kivimäki, Tommi Härkänen, Charlotta Rylander, Wanqing Wen, Xiao-Ou Shu, Maira Bes-Rastrollo, Jonathan E. Shaw, Norie Sawada, Sabita S. Soedamah-Muthu, Donal J. O’Gorman, Hossein Poustchi, Liang Sun, Paul Knekt, Natália Bordin Barbieri, Silvia Pastorino, Atsushi Goto, Dianna J. Magliano, Nita G. Forouhi, Tasnime N. Akbaraly, Reza Malekzadeh, Maria Inês Schmidt, Bruce Bartholow Duncan, Stephen J. Sharp, Alicja Wolk, Maryam Hashemian, Zhengming Chen, Epidemiology and Data Science, ACS - Diabetes & metabolism, ACS - Heart failure & arrhythmias, APH - Health Behaviors & Chronic Diseases, Medical and Clinical Psychology, Bes-Rastrollo, Maira [0000-0002-9139-4206], Hashemian, Maryam [0000-0002-9702-9752], Kivimaki, Mika [0000-0002-4699-5627], Malekzadeh, Reza [0000-0002-9820-6335], Martínez-González, Miguel Ángel [0000-0002-3917-9808], O’Donoghue, Gráinne [0000-0002-9126-2094], O’Gorman, Donal [0000-0002-8228-1488], Sawada, Norie [0000-0002-9936-1476], Apollo - University of Cambridge Repository, O'Donoghue, Gráinne [0000-0002-9126-2094], and O'Gorman, Donal [0000-0002-8228-1488]
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Male ,0301 basic medicine ,Type 2 diabetes ,0302 clinical medicine ,POLYCHLORINATED-BIPHENYLS ,PERSISTENT ORGANIC POLLUTANTS ,Prospective cohort study ,RISK ,2. Zero hunger ,INSULIN-RESISTANCE ,Nutrition and Dietetics ,VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801 ,Incidence ,Incidence (epidemiology) ,Confounding ,Fishes ,WOMEN ,MEN ,Saltwater fish ,3. Good health ,Näringslära ,Meta-analysis ,Female ,HEALTH ,type 2 diabetes ,lcsh:Nutrition. Foods and food supply ,lcsh:TX341-641 ,030209 endocrinology & metabolism ,Biology ,Diversity of fish ,Article ,03 medical and health sciences ,Insulin resistance ,Confidence Intervals ,medicine ,Animals ,Humans ,fish ,GENDER-DIFFERENCES ,030109 nutrition & dietetics ,CONSUMPTION ,Feeding Behavior ,medicine.disease ,biology.organism_classification ,prospective studies ,ENERGY-INTAKE ,Diabetes Mellitus, Type 2 ,federated meta-analysis ,VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801 ,Food Science ,Demography - Abstract
The association between fish consumption and new-onset type 2 diabetes is inconsistent and differs according to geographical location. We examined the association between the total and types of fish consumption and type 2 diabetes using individual participant data from 28 prospective cohort studies from the Americas (6), Europe (15), the Western Pacific (6), and the Eastern Mediterranean (1) comprising 956,122 participants and 48,084 cases of incident type 2 diabetes. Incidence rate ratios (IRRs) for associations of total fish, shellfish, fatty, lean, fried, freshwater, and saltwater fish intake and type 2 diabetes were derived for each study, adjusting for a consistent set of confounders and combined across studies using random-effects meta-analysis. We stratified all analyses by sex due to observed interaction (p = 0.002) on the association between fish and type 2 diabetes. In women, for each 100 g/week higher intake the IRRs (95% CIs) of type 2 diabetes were 1.02 (1.01-1.03, I2 = 61%) for total fish, 1.04 (1.01-1.07, I2 = 46%) for fatty fish, and 1.02 (1.00-1.04, I2 = 33%) for lean fish. In men, all associations were null. In women, we observed variation by geographical location: IRRs for total fish were 1.03 (1.02-1.04, I2 = 0%) in the Americas and null in other regions. In conclusion, we found evidence of a neutral association between total fish intake and type 2 diabetes in men, but there was a modest positive association among women with heterogeneity across studies, which was partly explained by geographical location and types of fish intake. Future research should investigate the role of cooking methods, accompanying foods and environmental pollutants, but meanwhile, existing dietary regional, national, or international guidelines should continue to guide fish consumption within overall healthy dietary patterns.
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- 2021
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