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Table 5 Prevalence and annual time trend of adult nutritional status by Brazilian region from 2008 to 2019. There is a 95% confidence level

From: Characterization of the prevalence of excess weight in Brazil

Regions

Nutritional status

Ano

*Annual average variation

**P value

Trend

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017

2018

2019

%

%

%

%

%

%

%

%

%

%

%

%

North

Low weight

5.5

4.3

4.6

4.0

3.5

3.7

3.7

2.8

2.9

2.5

2.4

2.5

-0.254

 < 0,001

Decrease

Eutrophy

53.1

52.7

52.1

50.6

47.4

46.1

44.2

40.7

41.0

40.1

37.9

36.9

-1.625

 < 0,001

Decrease

Excess of weight

41.4

43.0

43.3

45.4

49.1

50.2

52.1

56.5

56.1

57.3

59.7

60.6

1.879

 < 0,001

Increase

Northeast

Low weight

6.4

4.8

5.2

4.2

3.8

3.8

3.5

2.9

3.1

2.8

2.7

2.9

-0.289

 < 0,001

Decrease

Eutrophy

54.4

54.2

52.5

50.8

47.6

45.7

43.3

41.2

40.9

39.7

37.9

36.9

-1.747

 < 0,001

Decrease

Excess of weight

39.2

41.0

42.4

45.1

48.6

50.5

53.2

55.9

56.0

57.5

59.5

60.2

2.037

 < 0,001

Increase

Midwest

Low weight

5.4

4.0

3.9

3.5

3.3

3.4

3.4

3.0

2.7

2.6

2.4

2.4

-0.217

 < 0,001

Decrease

Eutrophy

49.1

48.2

48.3

45.8

42.2

41.0

39.5

36.2

35.7

34.7

33.7

32.4

-1.680

 < 0,001

Decrease

Excess of weight

45.5

47.8

47.8

50.7

54.6

55.7

57.2

60.8

61.6

62.7

64.0

65.2

1.897

 < 0,001

Increase

Southeast

Low weight

5.1

4.2

3.9

3.5

3.2

3.3

3.2

2.7

2.7

2.6

2.4

2.4

-0.210

 < 0,001

Decrease

Eutrophy

47.3

46.4

44.8

43.0

40.2

38.7

37.5

35.4

34.9

34.8

33.7

32.7

-1.395

 < 0,001

Decrease

Excess of weight

47.7

49.5

51.3

53.6

56.6

58.0

59.3

61.9

62.3

62.6

63.9

64.8

1.605

 < 0,001

Increase

South

Low weight

3.9

3.9

3.7

3.4

2.6

2.7

2.7

1.9

2.0

1.8

1.6

1.6

-0.235

 < 0,001

Decrease

Eutrophy

44.0

43.2

42.0

40.0

37.9

36.2

35.1

32.3

32.4

31.1

30.0

29.3

-1.444

 < 0,001

Decrease

Excess of weight

52.2

52.8

54.2

56.7

59.5

61.1

62.1

65.8

65.6

67.1

68.3

69.1

1.679

 < 0,001

Increase

  1. Note: * Annual average variation is calculated by the linear regression method; **P value indicates the results of the two-sided t test