Europe PMC
  Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
We are currently experiencing a reduction in the number of new full-text articles added to Europe PMC. We are working to resolve the issue as soon as possible.

This website requires cookies, and the limited processing of your personal data in order to function. By using the site you are agreeing to this as outlined in our privacy notice and cookie policy.

Abstract 


No abstract provided.

Free full text 


Logo of nihpaLink to Publisher's site
JAMA Intern Med. Author manuscript; available in PMC 2016 Feb 1.
Published in final edited form as:
PMCID: PMC4625533
NIHMSID: NIHMS731065
PMID: 26098405

Prevalence of Overweight and Obesity in the United States, 2007–2012

Lin Yang, PhD and Graham A. Colditz, MD, DrPH

Overweight and obesity are associated with various chronic conditions.1 These conditions are considerable health care and societal burdens, yet could potentially be averted by preventing weight gain and obesity. In a prior analysis, now almost 20 years old, Must et al2 used a nationally representative data set from 1988 through 1994 and reported the US chronic disease burden associated with body mass index (BMI), thus informing clinical practice and the priorities for cost-effective prevention strategies. Using the most recent data in the National Health and Nutrition Examination Survey (NHANES, 2007–2012), we updated the prevalence of overweight and obesity by sex, age, and race/ethnicity and compared the values with those of the earlier study.2

Methods

The NHANES was designed to provide cross-sectional estimates of the prevalence of major diseases, nutritional disorders, and potential risk factors among the US population.3 We aggregated data from 2007–2008, 2009–2010, and 2011–2012 and included only adults who were 25 years or older (n = 15 208), excluding those who were pregnant at the time of examination (n = 125) or provided insufficient data regarding weight and height (n = 827). The NHANES obtained approval from the National Center for Health Statistics Research Ethics Review Board and participants provided written consent.

Weight and height were measured during the physical examination using standard procedures. Patients’ BMIs (calculated as weight in kilograms divided by height in meters squared) were classified according to the following categories: underweight (<18.5), normal weight (18.5–24.9), over-weight (25.0–29.9), obesity class 1 (30.0–34.9), obesity class 2 (35.0–39.9), and obesity class 3 (≥40).2

Data regarding patients’ age, sex, and race/ethnicity were collected. Age was classified as 25 to 54 years or 55 or more years. Self-reported race/ethnicity were categorized as Mexican American, non-Hispanic black, non-Hispanic white, or other.

We stratified the analyses by sex and calculated the weighted proportion estimates in each BMI category by race or ethnic group and age group. All statistical analyses were conducted in Stata, version 12.0 (StataCorp LP), using survey analysis procedures to account for the complex sampling design.

Results

Of the sample population, 39.96% (weighted n = 36325297) of men and 29.74% (weighted n = 28894630) of women were overweight and 35.04%(weighted n=31847198) of men and 36.84%(weighted n = 35792733) of women were obese. The weight status distribution was similar for both sexes across racial groups (Table), except for the proportion of non-Hispanic white women, which was higher in the normal-weight than the overweight category. Compared with 20 years ago, the greatest increase in the proportion of patients in the obesity class 3 category was among non-Hispanic black women.

Table

Sociodemographic Characteristics of Persons 25 Years or Older From the NHANES, 2007–2012a

CharacteristicStudy Population, No.Percentage
UnderweightNormal
Weight
OverweightObesity Class
SampleWeighted123
Men
Race/ethnicity
   Mexican American184512 316 2140.3518.7543.1724.838.21  4.70
   Non-Hispanic black1577  9 245 1051.7325.6733.4421.809.90  7.46
   Non-Hispanic white342763 145 8880.6223.3540.7423.367.80  4.13
   Other  629  6 187 7101.3642.3335.4715.582.09  3.17
Age, y
   25–54414359 105 8170.6925.0539.3822.517.78  4.59
   ≥55333531 789 1010.8422.7841.0523.547.50  4.29
Women
Race/ethnicity
   Mexican American202411 983 2460.6822.4333.5824.1612.34  6.81
   Non-Hispanic black165311 484 7351.6615.7925.7726.0313.4517.30
   Non-Hispanic white341767 131 5532.2833.7730.0217.58  9.37  6.98
   Other  636  6 556 8403.2350.0226.8410.80  4.76  4.35
Age, y
   25–54429159 578 4082.2933.4528.5817.64  9.82  8.22
   ≥55343937 577 9651.7328.0131.5820.9810.05  7.65

Abbreviation: NHANES, National Health and Nutrition Examination Survey.

aPatients are divided by National Heart, Lung, and Blood Institute–recommended weight group and sex. Weight groups were defined by body mass index (calculated as weight in kilograms divided by height in meters squared): underweight (<18.5), normal weight (18.5–24.9), overweight (25.0–29.9), obesity class 1 (30.0–34.9), obesity class 2 (35.0–39.9), and obesity class 3 (≥40).

Discussion

Compared with 1988–1994,2 the distribution of the population’s weight status has increased in the past 20 years. The rising trends in overweight and obesity warrant timely attention from health-policy and health care–system decision makers. Clinical practice for the prevention and treatment of chronic conditions has mainly focused on screening high-risk populations. As a result, people in higher-weight categories are more likely to be diagnosed with the chronic diseases associated with excess weight2 because of more frequent measurements, compared with people in the normal-weight category. This approach may ignore individuals with normal weight and their weight gain, which puts them at risk.

Population-based strategies helping to reduce modifiable risk factors such as physical environment interventions, enhancing primary care efforts to prevent and treat obesity, and altering societal norms of behavior are required.4 In 2012, the Institute of Medicine identified population-based obesity-prevention strategies that target physical activity, healthy diet, and models of healthy social norms and provided recommendations on setting specific implementations of those policy and environmental strategies to combat obesity.5 The Institute of Medicine6 also summarized specific key metrics to evaluate the progress of obesity-prevention strategies toward sustainable implementation. Delivering these strategies is a priority to counter the burden of obesity on contemporary and future generations.

Acknowledgments

Funding/Support: This study was supported by grant U54 CA155496 from the Washington University School of Medicine Transdisciplinary Research on Energetics and Cancer Center (Drs Colditz and Yang), which is funded by the National Cancer Institute, National Institutes of Health, and the Siteman Cancer Center; the Foundation for Barnes-Jewish Hospital (Drs Colditz and Yang); and the Breast Cancer Research Foundation (Dr Colditz).

Role of the Funder/Sponsor: The funding sources had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Footnotes

Author Contributions: Drs Colditz and Yang had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Study concept and design: All authors.

Acquisition, analysis, or interpretation of data: All authors.

Drafting of the manuscript: All authors.

Critical revision of the manuscript for important intellectual content: Colditz.

Statistical analysis: All authors.

Study supervision: Colditz.

Conflict of Interest Disclosures: None reported.

References

1. Visscher TL, Seidell JC. The public health impact of obesity. Annu Rev Public Health. 2001;22:355–375. [Abstract] [Google Scholar]
2. Must A, Spadano J, Coakley EH, Field AE, Colditz G, Dietz WH. The disease burden associated with overweight and obesity. JAMA. 1999;282(16):1523–1529. [Abstract] [Google Scholar]
3. Centers for Disease Control and Prevention. National Health and Nutrition Examination Survey. [Accessed February 10, 2015]; http://www.cdc.gov/nchs/nhanes.htm.
4. Doyle YG, Furey A, Flowers J. Sick individuals and sick populations: 20 years later. J Epidemiol Community Health. 2006;60(5):396–398. [Europe PMC free article] [Abstract] [Google Scholar]
5. Glickman D, Parker L, Sim LJ, et al., editors. Accelerating Progress in Obesity Prevention: Solving the Weight of the Nation. Washington, DC: National Academies Press; 2012. Committee on Accelerating Progress in Obesity Prevention, Food and Nutrition Board, Institute of Medicine. [Abstract] [Google Scholar]
6. Green LW, Sim L, Breiner H. Evaluating Obesity Prevention Efforts: A Plan for Measuring Progress. Washington, DC: National Academies Press; 2013. Committee on Evaluating Progress of Obesity Prevention Effort, Food and Nutrition Board, Institute of Medicine. [Abstract] [Google Scholar]

Citations & impact 


Impact metrics

Jump to Citations

Citations of article over time

Alternative metrics

Altmetric item for https://www.altmetric.com/details/4196978
Altmetric
Discover the attention surrounding your research
https://www.altmetric.com/details/4196978

Smart citations by scite.ai
Smart citations by scite.ai include citation statements extracted from the full text of the citing article. The number of the statements may be higher than the number of citations provided by EuropePMC if one paper cites another multiple times or lower if scite has not yet processed some of the citing articles.
Explore citation contexts and check if this article has been supported or disputed.
https://scite.ai/reports/10.1001/jamainternmed.2015.2405

Supporting
Mentioning
Contrasting
3
178
1

Article citations


Go to all (155) article citations

Funding 


Funders who supported this work.

NCI NIH HHS (1)