Literature DB >> 21611882

Estimates of obesity trends in Brazil, 2006-2009.

Erly Catarina Moura1, Rafael Moreira Claro.   

Abstract

OBJECTIVE: This study investigates the prevalence and trends of obesity among Brazilian adults, from 2006 to 2009, according to socio-demographic variables.
METHODS: Data from the Surveillance System of Risk and Protective Factors for Chronic Non-Communicable Diseases through Telephone Interviews (VIGITEL) from a sample of adults living in all state capitals were used. Approximately, 41,500 individuals were interviewed each year. Obesity prevalence and recent trends were estimated in the total population and according to socio-demographic variables.
RESULTS: In 2006, the obesity level reached 10.8% of adults, increasing to 13.5% in 2009. The increase in obesity was higher among women than men. For women, low levels of education and unemployment are also important factors. For men, higher obesity rate is seen among those who are young, resident of southeast region, higher educated and employed individuals.
CONCLUSION: Despite obesity rates in Brazil not being among the highest in the world, the rapid increase in these rates, greater in women than men, demand immediate care. These findings will help to formulate strategies needed to reduce and prevent obesity.

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Year:  2011        PMID: 21611882     DOI: 10.1007/s00038-011-0262-8

Source DB:  PubMed          Journal:  Int J Public Health        ISSN: 1661-8556            Impact factor:   3.380


  19 in total

1.  [Validity of self-reported weight and height: the Goiânia study, Brazil].

Authors:  Maria do Rosário Gondim Peixoto; Maria Helena D'Aquino Benício; Paulo César Brandão Veiga Jardim
Journal:  Rev Saude Publica       Date:  2006-12       Impact factor: 2.106

2.  Validity and reliability of self-reported weight, height and body mass index from telephone interviews.

Authors:  Alessandra Lucca; Erly Catarina Moura
Journal:  Cad Saude Publica       Date:  2010-01       Impact factor: 1.632

Review 3.  Assessing obesity: classification and epidemiology.

Authors:  J C Seidell; K M Flegal
Journal:  Br Med Bull       Date:  1997       Impact factor: 4.291

4.  Underreporting of BMI in adults and its effect on obesity prevalence estimations in the period 1998 to 2001.

Authors:  Tommy L S Visscher; A Lucie Viet; Ike H T Kroesbergen; Jacob C Seidell
Journal:  Obesity (Silver Spring)       Date:  2006-11       Impact factor: 5.002

5.  Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil.

Authors:  Carlos A Monteiro; Wolney L Conde; Barry M Popkin
Journal:  Public Health Nutr       Date:  2002-02       Impact factor: 4.022

Review 6.  A comparison of direct vs. self-report measures for assessing height, weight and body mass index: a systematic review.

Authors:  S Connor Gorber; M Tremblay; D Moher; B Gorber
Journal:  Obes Rev       Date:  2007-07       Impact factor: 9.213

Review 7.  The epidemiology of obesity.

Authors:  Cynthia L Ogden; Susan Z Yanovski; Margaret D Carroll; Katherine M Flegal
Journal:  Gastroenterology       Date:  2007-05       Impact factor: 22.682

8.  Temporal trends in overweight and obesity in Canada, 1981-1996.

Authors:  M S Tremblay; P T Katzmarzyk; J D Willms
Journal:  Int J Obes Relat Metab Disord       Date:  2002-04

9.  The link between local environment and obesity: a multilevel analysis in the Lisbon Metropolitan Area, Portugal.

Authors:  Paula Santana; Rita Santos; Helena Nogueira
Journal:  Soc Sci Med       Date:  2009-01-08       Impact factor: 4.634

10.  Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee.

Authors: 
Journal:  World Health Organ Tech Rep Ser       Date:  1995
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  8 in total

1.  Relationship Between Obesity and Driving.

Authors:  Gary G Kay; David McLaughlin
Journal:  Curr Obes Rep       Date:  2014-09

Review 2.  What is Causing the Worldwide Rise in Body Weight?

Authors:  Robin P Shook; Steven N Blair; John Duperly; Gregory A Hand; Sandra M Matsudo; Joanne L Slavin
Journal:  Eur Endocrinol       Date:  2014-08-25

3.  A priority health index identifies the top six priority risk and related factors for non-communicable diseases in Brazilian cities.

Authors:  Eduardo J Simoes; Adam Bouras; Juan Jose Cortez-Escalante; Deborah C Malta; Denise Lopes Porto; Ali H Mokdad; Lenildo de Moura; Otaliba Libanio Morais Neto
Journal:  BMC Public Health       Date:  2015-05-01       Impact factor: 3.295

4.  Socioeconomic and regional differences in active transportation in Brazil.

Authors:  Thiago Hérick de Sá; Rafael Henrique Moraes Pereira; Ana Clara Duran; Carlos Augusto Monteiro
Journal:  Rev Saude Publica       Date:  2016-06-27       Impact factor: 2.106

5.  Time trends in adult chronic disease inequalities by education in Brazil: 1998-2013.

Authors:  Hiram Beltrán-Sánchez; Flavia C D Andrade
Journal:  Int J Equity Health       Date:  2016-11-17

6.  The association between body mass index and health and economic outcomes in Brazil.

Authors:  Ian Kudel; Jefferson S Alves; Thiago de Menezes Goncalves; Kristjan Kull; Emil Nørtoft
Journal:  Diabetol Metab Syndr       Date:  2018-03-16       Impact factor: 3.320

7.  Metabolic syndrome in central Brazil: prevalence and correlates in the adult population.

Authors:  Eliane Said Dutra; Kênia Marabaiocchi de Carvalho; Edina Miyazaki; Edgar Merchán- Hamann; Marina Kiyomi Ito
Journal:  Diabetol Metab Syndr       Date:  2012-05-14       Impact factor: 3.320

8.  Evaluating the use of in-store measures in retail food stores and restaurants in Brazil.

Authors:  Ana Clara Duran; Karen Lock; Maria do Rosario D O Latorre; Patricia Constante Jaime
Journal:  Rev Saude Publica       Date:  2015-10-30       Impact factor: 2.106

  8 in total

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