Literature DB >> 6711469

Factors within the physical environment associated with childhood obesity.

W H Dietz, S L Gortmaker.   

Abstract

The relationship of obesity to environmental factors such as season, region, and population density was examined in children studied during cycle II of the National Health Examination Survey. This survey selected 7119 children aged 6 to 11 yr old from a representative noninstitutionalized sample of the United States population. The prevalence of obesity (triceps skinfold more than the 85th percentile) was significantly more in the Northeast and Midwest than in the West and significantly more in large metropolitan areas than in areas with lower population densities. The prevalence of obesity was generally lowest in the summer and highest in the fall or winter. Each environmental variable was associated with 2- to 3-fold variations in the prevalence of obesity. The effect of region, population density, and season appeared independent of race and socioeconomic status. Similar relationships were found for superobesity (triceps skinfold more than the 95th percentile). These results emphasize that environmental variables significantly affect the prevalence of obesity and could help account for the wide variations in prevalence that have been previously published. Understanding the mechanisms by which the environment affects childhood obesity may improve the effectiveness of community level interventions.

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Year:  1984        PMID: 6711469     DOI: 10.1093/ajcn/39.4.619

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  16 in total

1.  Seasonal variation in weight-for-age in a pediatric emergency room.

Authors:  D A Frank; N Roos; A Meyers; M Napoleone; K Peterson; A Cather; L A Cupples
Journal:  Public Health Rep       Date:  1996 Jul-Aug       Impact factor: 2.792

2.  Weighing in: the taste-engineering frame in obesity expert discourse.

Authors:  Selena E Ortiz; Frederick J Zimmerman; Franklin D Gilliam
Journal:  Am J Public Health       Date:  2015-01-20       Impact factor: 9.308

3.  Shortened sleep duration does not predict obesity in adolescents.

Authors:  Christina J Calamaro; Sunhee Park; Thornton B A Mason; Carole L Marcus; Terri E Weaver; Allan Pack; Sarah J Ratcliffe
Journal:  J Sleep Res       Date:  2010-12       Impact factor: 3.981

Review 4.  Controversies in plastic surgery: suction-assisted lipectomy (SAL) and the hCG (human chorionic gonadotropin) protocol for obesity treatment.

Authors:  T Vogt; D Belluscio
Journal:  Aesthetic Plast Surg       Date:  1987       Impact factor: 2.326

5.  Home food and activity assessment. Development and validation of an instrument for diverse families of young children.

Authors:  Richard E Boles; Alexandra Burdell; Susan L Johnson; William J Gavin; Patricia L Davies; Laura L Bellows
Journal:  Appetite       Date:  2014-05-02       Impact factor: 3.868

6.  Maternal pre-pregnancy obesity and diagnosis of asthma in offspring at age 3 years.

Authors:  Nancy E Reichman; Lenna Nepomnyaschy
Journal:  Matern Child Health J       Date:  2007-11-07

Review 7.  Seasonal variations in physical activity and implications for human health.

Authors:  Roy J Shephard; Yukitoshi Aoyagi
Journal:  Eur J Appl Physiol       Date:  2009-07-16       Impact factor: 3.078

8.  Overweight schoolchildren in New York State: prevalence and characteristics.

Authors:  W S Wolfe; C C Campbell; E A Frongillo; J D Haas; T A Melnik
Journal:  Am J Public Health       Date:  1994-05       Impact factor: 9.308

9.  Prevalence of obesity among children of military dependents at two major medical centers.

Authors:  C M Tiwary; A H Holguin
Journal:  Am J Public Health       Date:  1992-03       Impact factor: 9.308

10.  Association of church-sponsored activity participation and prevalence of overweight and obesity in African American Protestants, National Survey of American Life, 2001-2003.

Authors:  Jerome Taylor; Brook Belay; Sohyun Park; Stephen Onufrak; William Dietz
Journal:  Ethn Dis       Date:  2013       Impact factor: 1.847

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