Literature DB >> 17510091

The obesity epidemic in the United States--gender, age, socioeconomic, racial/ethnic, and geographic characteristics: a systematic review and meta-regression analysis.

Youfa Wang1, May A Beydoun.   

Abstract

This review of the obesity epidemic provides a comprehensive description of the current situation, time trends, and disparities across gender, age, socioeconomic status, racial/ethnic groups, and geographic regions in the United States based on national data. The authors searched studies published between 1990 and 2006. Adult overweight and obesity were defined by using body mass index (weight (kg)/height (m)(2)) cutpoints of 25 and 30, respectively; childhood "at risk for overweight" and overweight were defined as the 85th and 95th percentiles of body mass index. Average annual increase in and future projections for prevalence were estimated by using linear regression models. Among adults, obesity prevalence increased from 13% to 32% between the 1960s and 2004. Currently, 66% of adults are overweight or obese; 16% of children and adolescents are overweight and 34% are at risk of overweight. Minority and low-socioeconomic-status groups are disproportionately affected at all ages. Annual increases in prevalence ranged from 0.3 to 0.9 percentage points across groups. By 2015, 75% of adults will be overweight or obese, and 41% will be obese. In conclusion, obesity has increased at an alarming rate in the United States over the past three decades. The associations of obesity with gender, age, ethnicity, and socioeconomic status are complex and dynamic. Related population-based programs and policies are needed.

Entities:  

Mesh:

Year:  2007        PMID: 17510091     DOI: 10.1093/epirev/mxm007

Source DB:  PubMed          Journal:  Epidemiol Rev        ISSN: 0193-936X            Impact factor:   6.222


  964 in total

1.  Elevated Thalamic Response to High-Sugar Milkshake in Ethnic and Racial Minorities.

Authors:  Jennifer R Gilbert; Eric Stice; Kyle S Burger
Journal:  J Racial Ethn Health Disparities       Date:  2017-08-04

2.  Level of nutrition knowledge and its association with weight loss behaviors among low-income reproductive-age women.

Authors:  Tabassum H Laz; Mahbubur Rahman; Ali M Pohlmeier; Abbey B Berenson
Journal:  J Community Health       Date:  2015-06

3.  Food access and children's BMI in Toronto, Ontario: assessing how the food environment relates to overweight and obesity.

Authors:  Kristian Larsen; Brian Cook; Michelle R Stone; Guy E J Faulkner
Journal:  Int J Public Health       Date:  2014-11-14       Impact factor: 3.380

4.  Accuracy of self-reported height and weight in a community-based sample of older African Americans and whites.

Authors:  Gerda G Fillenbaum; Maragatha N Kuchibhatla; Heather E Whitson; Bryan C Batch; Laura P Svetkey; Carl F Pieper; William E Kraus; Harvey J Cohen; Dan G Blazer
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2010-06-07       Impact factor: 6.053

5.  Temporal patterns in overweight and obesity in Type 1 diabetes.

Authors:  B Conway; R G Miller; T Costacou; L Fried; S Kelsey; R W Evans; T J Orchard
Journal:  Diabet Med       Date:  2010-04       Impact factor: 4.359

6.  Demographic and socioeconomic correlates of adiposity assessed with dual-energy X-ray absorptiometry in US children and adolescents.

Authors:  Nguyen T Tuan; Nancy F Butte; Youfa Wang
Journal:  Am J Clin Nutr       Date:  2012-10-03       Impact factor: 7.045

7.  Chronic weight dissatisfaction predicts type 2 diabetes risk: aerobic center longitudinal study.

Authors:  Michael D Wirth; Christine E Blake; James R Hébert; Xuemei Sui; Steven N Blair
Journal:  Health Psychol       Date:  2014-03-03       Impact factor: 4.267

8.  Baseline Features of the Severe Asthma Research Program (SARP III) Cohort: Differences with Age.

Authors:  W Gerald Teague; Brenda R Phillips; John V Fahy; Sally E Wenzel; Anne M Fitzpatrick; Wendy C Moore; Annette T Hastie; Eugene R Bleecker; Deborah A Meyers; Stephen P Peters; Mario Castro; Andrea M Coverstone; Leonard B Bacharier; Ngoc P Ly; Michael C Peters; Loren C Denlinger; Sima Ramratnam; Ronald L Sorkness; Benjamin M Gaston; Serpil C Erzurum; Suzy A A Comhair; Ross E Myers; Joe Zein; Mark D DeBoer; Anne-Marie Irani; Elliot Israel; Bruce Levy; Juan Carlos Cardet; Wanda Phipatanakul; Jonathan M Gaffin; Fernando Holguin; Merritt L Fajt; Shean J Aujla; David T Mauger; Nizar N Jarjour
Journal:  J Allergy Clin Immunol Pract       Date:  2017-08-31

9.  Stochastic variability in stress, sleep duration, and sleep quality across the distribution of body mass index: insights from quantile regression.

Authors:  Tse-Chuan Yang; Stephen A Matthews; Vivian Y-J Chen
Journal:  Int J Behav Med       Date:  2014-04

10.  Chemicals, cans and factories: how grade school children think about processed foods.

Authors:  Rachel Bleiweiss-Sande; Jeanne Goldberg; E Whitney Evans; Ken Chui; Caitlin Bailey; Jennifer Sacheck
Journal:  Public Health Nutr       Date:  2020-02-18       Impact factor: 4.022

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