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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
#bar #show #prevelance #obesity #boys #girls #years #ethnicity #states
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The bar chart displays that 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
ethnicity
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ethnicities
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 in the United States in 2004 and 2014. First and foremost，
he
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the
show examples
obesity
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rate
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 for
non-Hispanic
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 white
boys
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 was higher in 2014 than in 2004(17% and 12% respectively)。
Similarly
Linking Words
, for
non-Hispanic
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 black
boys
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, the
obesity
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rate
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 in 2014 was about twice that of 2004(20% and 11% respectively). In 2004, 13% of Hispanic
boys
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 were obese, and in 2014, about a quarter were obese. For
girls
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, the
obesity
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rate
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 for
non-Hispanic
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 white
girls
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 was 9% in 2004, and 14% in 2014. The
obesity
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rate
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 for
non-Hispanic
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 black
girls
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 was 16% in 2004, and more than a quarter were obese in 2014. Among Hispanics, 17% of
girls
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 were obese in 2014, up from a tenth in 2004. In
summary
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summary,
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boys
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 are more likely to be obese than
girls
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.
In addition
Linking Words
,
non-Hispanic
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 black
girls
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 had the highest
obesity
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 rates in 2014.
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Sentences: Add more complex sentences.
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Basic structure: Change the third paragraph.
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Basic structure: Change the fourth paragraph.
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Vocabulary: Rephrase your introduction. Words match: 71%.
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Vocabulary: Replace the words obesity, boys, girls, rate, non-hispanic with synonyms.
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Vocabulary: Only 4 basic words for charts were used.
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Vocabulary: The word "about" was used 3 times.
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Vocabulary: Use several vocabularies to present the data in the third paragraph.
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Vocabulary: Use several vocabularies to present the data in the fourth paragraph.
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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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