The bar charts below show the prevelance of obesity among boys and girls aged 12-19 years by ethnicity, in the United States for the years 2004 and 2014

The bar charts below show the prevelance of obesity among boys and girls aged 12-19 years by ethnicity, in the United States for the years 2004 and 2014
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The
given
Verb problem
apply
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bar charts give information about the percentages of
obesity
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among
boys
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and
girls
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aged 12-19 years by 3 different nationalities in the United States in 2004 and 2014.
Overall
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,
whatb
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what
stands out from the graphs is that the disease was more common among
boys
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than
girls
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in the period given.
Moreover
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, the highest amount of
obesity
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was seen in
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non-hispanic
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non-Hispanic
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black
girls
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in 2014. Looking into detail, regarding
to
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apply
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boys
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,
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non-hispanic
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non-Hispanic
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white
boys
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in 2014 were more obese as opposed to 2004(17% and 12% respectively).
Similarly
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, for
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non-hispanic
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non-Hispanic
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black
boys
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, the percentage of
obesity
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in 2014 was approximately double that in 2004 (20% and 11% respectively). The
obesity
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figures for
hispanic
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Hispanic
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boys
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was
13%in
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13 in
2004 and roughly a quarter in 2014. In terms of
girls
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, the proportion of
obesity
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among
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non-hispanic
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non-Hispanic
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white ones was 9% in 2004,
while
Linking Words
the figure in 2014 was 14%. In 2004, 16% of
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non-hispanic
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non-Hispanic
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black
girls
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were obese,
whereas
Linking Words
, the figure in 2014 was above one in four. In
Correct article usage
the hispanic
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hispanic
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Hispanic
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ethnic group, 17% of
girls
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in 2014
was
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were
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obese which was higher than in 2004 with just above one in ten.
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Vocabulary: Rephrase your introduction. Words match: 71%.
Vocabulary: Replace the words obesity, boys, girls, non-hispanic with synonyms.
Vocabulary: The word "figures" was used 3 times.
Vocabulary: The word "give" was used 3 times.
Vocabulary: The word "percentages" was used 2 times.
Topic Vocabulary:
  • prevalence
  • ethnicity
  • obesity rates
  • gender comparison
  • ethnic disparities
  • socio-economic factors
  • cultural factors
  • environmental factors
  • long-term health consequences
  • healthcare systems
  • government policies
  • community programs
  • adolescents
  • trend analysis
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