Trends in Obesity and Severe Obesity Prevalence in US Youth and Adults by Sex and Age, 2007-2008 to 2015-2016

Published on Apr 24, 2018in JAMA2.474
路 DOI :10.1001/JAMA.2018.3060
Craig M. Hales23
Estimated H-index: 23
(CDC: Centers for Disease Control and Prevention),
Cheryl D. Fryar30
Estimated H-index: 30
(CDC: Centers for Disease Control and Prevention)
+ 2 AuthorsCynthia L. Ogden82
Estimated H-index: 82
(CDC: Centers for Disease Control and Prevention)
Sources
Abstract
This study uses National Health and Nutrition Examination Survey data to characterize trends in obesity prevalence among US youth and adults between 2007-2008 and 2015-2016.
馃摉 Papers frequently viewed together
20162.47JAMA
20182.47JAMA
References4
Newest
#1Cynthia L. Ogden (CDC: Centers for Disease Control and Prevention)H-Index: 82
#2Margaret D. Carroll (CDC: Centers for Disease Control and Prevention)H-Index: 56
Last. Katherine M. Flegal (CDC: Centers for Disease Control and Prevention)H-Index: 100
view all 7 authors...
Importance Previous analyses of obesity trends among children and adolescents showed an increase between 1988-1994 and 1999-2000, but no change between 2003-2004 and 2011-2012, except for a significant decline among children aged 2 to 5 years. Objectives To provide estimates of obesity and extreme obesity prevalence for children and adolescents for 2011-2014 and investigate trends by age between 1988-1994 and 2013-2014. Design, Setting, and Participants Children and adolescents aged 2 to 19 year...
Source
#1Katherine M. Flegal (CDC: Centers for Disease Control and Prevention)H-Index: 100
#2Deanna Kruszon-Moran (CDC: Centers for Disease Control and Prevention)H-Index: 20
Last. Cynthia L. Ogden (CDC: Centers for Disease Control and Prevention)H-Index: 82
view all 5 authors...
Importance Between 1980 and 2000, the prevalence of obesity increased significantly among adult men and women in the United States; further significant increases were observed through 2003-2004 for men but not women. Subsequent comparisons of data from 2003-2004 with data through 2011-2012 showed no significant increases for men or women. Objective To examine obesity prevalence for 2013-2014 and trends over the decade from 2005 through 2014 adjusting for sex, age, race/Hispanic origin, smoking s...
Source
#1Michael D. JensenH-Index: 102
#2Donna H. RyanH-Index: 79
Last. Susan Z. YanovskiH-Index: 79
view all 19 authors...
Harmon S. Jordan, ScD, Karima A. Kendall, PhD, Linda J. Lux, Roycelynn Mentor-Marcel, PhD, MPH, Laura C. Morgan, MA, Michael G. Trisolini, PhD, MBA, Janusz Wnek, PhD Jeffrey L. Anderson, MD, FACC, FAHA, Chair , Jonathan L. Halperin, MD, FACC, FAHA, Chair-Elect , Nancy M. Albert, PhD, CCNS, CCRN,
Source
#1Michael D. JensenH-Index: 102
#2Donna H. RyanH-Index: 79
Last. Susan Z. YanovskiH-Index: 79
view all 19 authors...
Loria, Barbara E. Millen, Cathy A. Nonas, F. Xavier Pi-Sunyer, June Stevens, Victor J. Stevens, Karen A. Donato, Frank B. Hu, Van S. Hubbard, John M. Jakicic, Robert F. Kushner, Catherine M. Michael D. Jensen, Donna H. Ryan, Caroline M. Apovian, Jamy D. Ard, Anthony G. Comuzzie, Practice Guidelines and The Obesity Society Report of the American College of Cardiology/American Heart Association Task Force on 2013 AHA/ACC/TOS Guideline for the Management of Overweight and Obesity in Adults: A Print...
Source
Cited By850
Newest
#1Xiang-Long Meng (Shanxi University)H-Index: 2
#2Jingning Yan (Shanxi University)
Last. Shuo-Sheng Zhang (Shanxi University)H-Index: 2
view all 10 authors...
Abstract null null Ethnopharmacological relevance null In traditional Chinese and Korean medicine, Jowiseungki-tang (JST) is a prescription for diabetes mellitus (DM) treatment. However, little scientific evidence is known of its effect in diabetic condition. null null null Aims null We assessed the effects of JST on high-fat diet (HFD)-induced obesity with inflammatory condition in mice and to analyze the therapeutic function of JST on network pharmacology as well as targeted metabolomics. null...
Source
#1Anne Claire Grammer (WashU: Washington University in St. Louis)H-Index: 5
#2Katherine N. Balantekin (UB: University at Buffalo)H-Index: 15
Last. Denise E. Wilfley (WashU: Washington University in St. Louis)H-Index: 81
view all 5 authors...
Abstract null null Individual differences in child eating self-regulation are associated with excess weight gain and may be explained, in part, by the family feeding environment and a child's general propensity to self-regulate outside of the context of eating (i.e., general self-regulation). Several studies have examined the associations between food parenting behaviors, child eating and general self-regulation, and child weight separately. However, there are a paucity of data on whether and ho...
Source
Source
Source
#1Samuel L. Skulsky (U of O: University of Ottawa)H-Index: 1
#2Jerry T. Dang (U of A: University of Alberta)H-Index: 15
Last. Daniel W. Birch (U of A: University of Alberta)H-Index: 37
view all 6 authors...
Bariatric surgery is an evidence-based approach for sustained weight loss in patients with severe obesity. The most common procedures in North America are the laparoscopic sleeve gastrectomy (LSG) and laparoscopic Roux-en-Y gastric bypass (LRYGB). The Edmonton Obesity Staging System (EOSS) is a tool that assigns patients a score of 0 to 4 according to their obesity-related comorbidities and functional status. Previous research demonstrates that increasing EOSS score is associated with overall no...
Source
#1Juan F. Navas (Complutense University of Madrid)H-Index: 14
#2Antonio Verdejo-Garc铆a (Monash University, Clayton campus)H-Index: 60
Last. Miguel A. Vadillo (UAM: Autonomous University of Madrid)H-Index: 25
view all 3 authors...
Cognitive bias modification (CBM), which retrains implicit biases towards unhealthy foods, has been proposed as a promising adjunct to improve the efficacy of weight loss interventions. We conducted a systematic review of research on three CBM approaches (i.e., cue-specific inhibitory control, approach bias modification, and attentional bias modification) for reducing unhealthy eating biases and behavior. We performed a p-curve analysis to determine the evidential value of this research; this me...
Source
#1Chakene D. Rogers (UNF: University of North Florida)
#2Michael R. Richardson (UNF: University of North Florida)H-Index: 6
Last. James R. Churilla (UNF: University of North Florida)H-Index: 16
view all 3 authors...
BACKGROUND Recess has been shown to increase total daily energy expenditure, which may favorably impact body mass index by decreasing adiposity. This study examines associations between recess participation and adiposity. METHODS The study sample included male (N聽=聽1434) and female (N聽=聽1409) children 5 to 11鈥墆ears of age participating in the 2013-2016 National Health and Nutrition Examination Survey. Overweight and obesity were defined using age- and sex-specific percentiles. Recess participati...
Source
#1EunSeok Cha (Emory University)H-Index: 13
#2Francisco J. Pasquel (Emory University)H-Index: 23
Last. Melissa Spezia Faulkner (Emory University)H-Index: 23
view all 11 authors...
Abstract null null Aims null Differences in risk profiles for individuals with early- ( null null null Methods null A nested case-control study design using 30-year longitudinal data from the Coronary Artery Risk Development in Young Adults (CARDIA) study was used. Survey data (socio-demographics, family history, medical records, and lifestyle behaviors), obesity-related measures (body mass index, weight), blood pressure, and laboratory data (insulin, fasting glucose, 2-h glucose, and lipids) we...
Source
#1Sarah J. C. Craig (PSU: Pennsylvania State University)H-Index: 2
#2Ana Kenney (PSU: Pennsylvania State University)H-Index: 3
Last. Kateryna D. Makova (PSU: Pennsylvania State University)H-Index: 51
view all 10 authors...
Abstract null null Obesity is a highly heritable condition that affects increasing numbers of adults and, concerningly, of children. However, only a small fraction of its heritability has been attributed to specific genetic variants. These variants are traditionally ascertained from genome-wide association studies (GWAS), which utilize samples with tens or hundreds of thousands of individuals for whom a single summary measurement (e.g., BMI) is collected. An alternative approach is to focus on a...
Source
#1Karyn J Roberts (NU: Northwestern University)
#2Shahad A. HafezH-Index: 1
Last. Kathleen A. Knafl (UNC: University of North Carolina at Chapel Hill)H-Index: 53
view all 5 authors...
Background: Adolescence is a challenging time for families, which is intensified when managing a chronic health condition. In adolescents with severe obesity, little is known about how adolescent/mother dyads approach management. Our study aims to (1) explore similarities/differences in adolescent/mother dyads' perceptions of weight management behaviors and (2) describe their experiences with successes and challenges related to weight management. Methods: This was a qualitative descriptive analy...
Source
This website uses cookies.
We use cookies to improve your online experience. By continuing to use our website we assume you agree to the placement of these cookies.
To learn more, you can find in our Privacy Policy.