F
Feng Ning
Researcher at Centers for Disease Control and Prevention
Publications - 54
Citations - 1356
Feng Ning is an academic researcher from Centers for Disease Control and Prevention. The author has contributed to research in topics: Diabetes mellitus & Population. The author has an hindex of 17, co-authored 45 publications receiving 1111 citations. Previous affiliations of Feng Ning include Qingdao University & University of Helsinki.
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Journal ArticleDOI
Genetic and environmental effects on body mass index from infancy to the onset of adulthood: an individual-based pooled analysis of 45 twin cohorts participating in the COllaborative project of Development of Anthropometrical measures in Twins (CODATwins) study
Karri Silventoinen,Karri Silventoinen,Aline Jelenkovic,Aline Jelenkovic,Reijo Sund,Yoon-Mi Hur,Yoshie Yokoyama,Chika Honda,Jacob vB Hjelmborg,Sören Möller,Syuichi Ooki,Sari Aaltonen,Fuling Ji,Feng Ning,Zengchang Pang,Esther Rebato,Andreas Busjahn,Christian Kandler,Kimberly J. Saudino,Kerry L. Jang,Wendy Cozen,Amie E. Hwang,Thomas M. Mack,Wenjing Gao,Canqing Yu,Liming Li,Robin P. Corley,Brooke M. Huibregtse,Kaare Christensen,Axel Skytthe,Kirsten Ohm Kyvik,Catherine Derom,Robert F. Vlietinck,Ruth J. F. Loos,Kauko Heikkilä,Jane Wardle,Clare H. Llewellyn,Abigail Fisher,Tom A. McAdams,Tom A. McAdams,Thalia C. Eley,Alice M. Gregory,Mingguang He,Mingguang He,Xiaohu Ding,Morten Bjerregaard-Andersen,Henning Beck-Nielsen,Morten Sodemann,Adam Domonkos Tarnoki,David Laszlo Tarnoki,Maria A. Stazi,Corrado Fagnani,Cristina D'Ippolito,Ariel Knafo-Noam,David Mankuta,Lior Abramson,S. Alexandra Burt,Kelly L. Klump,Judy L. Silberg,Lindon J. Eaves,Hermine H. Maes,Robert F. Krueger,Matt McGue,Shandell Pahlen,Margaret Gatz,David A. Butler,Meike Bartels,Toos C. E. M. van Beijsterveldt,Jeffrey M. Craig,Jeffrey M. Craig,Richard Saffery,Richard Saffery,Duarte L. Freitas,José Maia,Lise Dubois,Michel Boivin,Michel Boivin,Mara Brendgen,Ginette Dionne,Frank Vitaro,Nicholas G. Martin,Sarah E. Medland,Grant W. Montgomery,Youngsook Chong,Gary E. Swan,Ruth Krasnow,Patrik K. E. Magnusson,Nancy L. Pedersen,Per Tynelius,Paul Lichtenstein,Claire M. A. Haworth,Robert Plomin,Gombojav Bayasgalan,Danshiitsoodol Narandalai,K. Paige Harden,Elliot M. Tucker-Drob,Sevgi Y. Öncel,Fazil Aliev,Tim D. Spector,Massimo Mangino,Genevieve Lachance,Laura A. Baker,Catherine Tuvblad,Catherine Tuvblad,Glen E. Duncan,Dedra Buchwald,Gonneke Willemsen,Finn Rasmussen,Jack H. Goldberg,Thorkild I. A. Sørensen,Dorret I. Boomsma,Jaakko Kaprio,Jaakko Kaprio +112 more
TL;DR: In this article, the authors analyzed the genetic and environmental contributions to BMI variation from infancy to early adulthood and the ways they differ by sex and geographic regions representing high (North America and Australia), moderate (Europe), and low levels (East Asia) of obesogenic environments.
Journal ArticleDOI
Genetic and environmental influences on height from infancy to early adulthood: An individual-based pooled analysis of 45 twin cohorts
Aline Jelenkovic,Aline Jelenkovic,Reijo Sund,Yoon-Mi Hur,Yoshie Yokoyama,Jacob v. B. Hjelmborg,Sören Möller,Chika Honda,Patrik K. E. Magnusson,Nancy L. Pedersen,Syuichi Ooki,Sari Aaltonen,Maria A. Stazi,Corrado Fagnani,Cristina D'Ippolito,Duarte L. Freitas,José Maia,Fuling Ji,Feng Ning,Zengchang Pang,Esther Rebato,Andreas Busjahn,Christian Kandler,Kimberly J. Saudino,Kerry L. Jang,Wendy Cozen,Amie E. Hwang,Thomas M. Mack,Wenjing Gao,Canqing Yu,Liming Li,Robin P. Corley,Brooke M. Huibregtse,Catherine Derom,Catherine Derom,Robert F. Vlietinck,Ruth J. F. Loos,Kauko Heikkilä,Jane Wardle,Clare H. Llewellyn,Abigail Fisher,Tom A. McAdams,Thalia C. Eley,Alice M. Gregory,Mingguang He,Xiaohu Ding,Morten Bjerregaard-Andersen,Henning Beck-Nielsen,Morten Sodemann,Adam Domonkos Tarnoki,David Laszlo Tarnoki,Ariel Knafo-Noam,David Mankuta,Lior Abramson,S. Alexandra Burt,Kelly L. Klump,Judy L. Silberg,Lindon J. Eaves,Hermine H. Maes,Robert F. Krueger,Matt McGue,Shandell Pahlen,Margaret Gatz,David A. Butler,Meike Bartels,Toos C. E. M. van Beijsterveldt,Jeffrey M. Craig,Richard Saffery,Lise Dubois,Michel Boivin,Michel Boivin,Mara Brendgen,Ginette Dionne,Frank Vitaro,Nicholas G. Martin,Sarah E. Medland,Grant W. Montgomery,Gary E. Swan,Ruth Krasnow,Per Tynelius,Paul Lichtenstein,Claire M. A. Haworth,Robert Plomin,Gombojav Bayasgalan,Danshiitsoodol Narandalai,K. Paige Harden,Elliot M. Tucker-Drob,Tim D. Spector,Massimo Mangino,Genevieve Lachance,Laura A. Baker,Catherine Tuvblad,Catherine Tuvblad,Glen E. Duncan,Dedra Buchwald,Gonneke Willemsen,Axel Skytthe,Kirsten Ohm Kyvik,Kaare Christensen,Sevgi Y. Öncel,Fazil Aliev,Finn Rasmussen,Jack H. Goldberg,Thorkild I. A. Sørensen,Dorret I. Boomsma,Jaakko Kaprio,Karri Silventoinen,Karri Silventoinen +107 more
TL;DR: Comparing geographic-cultural regions, genetic variance was greatest in North-America and Australia and lowest in East-Asia, but the relative proportion of genetic variation was roughly similar across these regions.
Journal ArticleDOI
Performance of an A1C and Fasting Capillary Blood Glucose Test for Screening Newly Diagnosed Diabetes and Pre-Diabetes Defined by an Oral Glucose Tolerance Test in Qingdao, China
TL;DR: Wang et al. as mentioned in this paper evaluated the performance of A1C and fasting capillary blood glucose (FCG) tests as mass screening tools for diabetes and pre-diabetes, as determined by the standard oral glucose tolerance test (OGTT).
Journal ArticleDOI
Cardiovascular Disease Mortality in Europeans in Relation to Fasting and 2-h Plasma Glucose Levels Within a Normoglycemic Range
TL;DR: In individuals with both FPG and 2-h plasma glucose within the normoglycemic range, high 2-H plasma glucose was associated with insulin resistance and increased CVD mortality.
Journal ArticleDOI
Nonlaboratory-Based Risk Assessment Algorithm for Undiagnosed Type 2 Diabetes Developed on a Nation-Wide Diabetes Survey
Xianghai Zhou,Qing Qiao,Qing Qiao,Linong Ji,Linong Ji,Feng Ning,Wenying Yang,Jianping Weng,Zhongyan Shan,Haoming Tian,Qiuhe Ji,Lixiang Lin,Qiang Li,Jianzhong Xiao,Weiguo Gao,Weiguo Gao,Zengchang Pang,Jianping Sun +17 more
TL;DR: The New Chinese Diabetes Risk Score based on nonlaboratory data appears to be a reliable screening tool to detect undiagnosed type 2 diabetes in Chinese population.