Obesity

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Obesity
By Mr. Driscoll
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What is Obesity?

• Obesity is
• an excess of body fat
• the result when the size or number of fat cells
  in a person's body increases
• When a person consumes more food than
• is needed to provide for all of the day's
• activities, including work and exercise,
• excess body fat will accumulate.
• Over time this can result in obesity.

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Obesity - Technical Definition

• Obesity
• when the percentage of body fat, exceeds 5
  of the average percentage for that age and sex
  classification.

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BMI (Body Mass Index) is a measure expressing
the relationship of weight-to-height. It
is more highly correlated with body fat than any
other indicator of height and weight.
A individual with a BMI of 30 or more is
considered obese. This applies to both men and
women.
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Calculating your BMI

• To convert pounds to kilograms divide by 2.2.To
  convert inches to meters multiply by 0.0254.
• 176 lbs 80 kg 69 in 1.75m
• BMI 80 / (1.75)(1.75) 26.1

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Adult WtHt Obesity Chart

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Results of Obesity
20 to 50 of adults have a weight
problem obesity brings many health
hazards with it, including. heart
attacks, strokes and diabetes with all of its
complications. Obesity is a serious
concern to all health care practitioners.

• Causes/Related Factors of Obesity
• Low activity levels Diet Genetic
• Environmental Social Economic
• Psychological Behavioral Biological

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Hypotheses

• Obesity is on the rise in Canada in recent years
• Obesity is more prevalent in cities with a higher
  amount of fast food joints per capita
• Cities with a higher average income will have a
  lower percentage of obesity
• Cities whose population eats healthier will have
  a smaller percentage of obesity

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1 - Obesity is rising in Canada in recent years
Correlation coefficient, r 0.913
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• There is a strong positive correlation between
  time and of obesity.
• In the year 2020, if the current trend continues,
  we can expect
• 20.6 of Canadians to be obese.

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2 - Obesity is more prevalent in cities with a
higher of fast food joints per capita
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• Correlation coefficient, r 0.518073354

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• The correlation between of fast food outlets
  and of obesity is a
• moderate positive
• If we use this model in Peterborough to predict
  the of obesity
• Pop 75,000
• of Top 10 fast food outlets 41
• So 5.47 ff outlets per 10,000 people

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• So, we expect 37.6 of Peterborough residents to
  be considered obese.

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3 - Cities with a higher average income will
have a lower percentage of obesity

• I feel that most healthy foods are more expensive
  to buy, so those cities with a higher average
  income should be purchasing healthier foods and,
  as a result, have a lower percentage of obesity.

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Correlation coefficient, r -0.173493516
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The correlation between average income and of
obesity is aweak negative

• Since this was a weak negative,
• I thought it would be worth testing one more
  related hypothesis
• 4 - Cities that eat healthier will have a
• smaller percentage of obesity

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Correlation coefficient, r -0.212602916
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The correlation between eating 5 or more
fruits/veggies per day and of obesity is
aweak negative

• Although this was a weak negative, I felt better
  that it was at least stronger than the
  correlation in hypothesis 3.

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Hypotheses were not as strong as expected

• I believe that this occurred because the of
  obesity data collected from Canadian cities did
  not vary significantly.
• I did some one
• variable analysis
• on the of obesity
• data to determine
• if this was true..

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of Obesity One Variable Analysis

• Mean 25.32
• Median 25.7
• Range 24.7
• 6.55
• Q1 19.7, Q3 30.7

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Conclusions

• The strongest correlations
• As time , obesity in Canada
• (not a good model for predicting the future)
• As of FF outlets , obesity
• (a reasonable predictor)

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Conclusions (cont.)

• The weaker correlations
• As average income , obesity
• As healthy eating , obesity
• These correlations may have been stronger
  if data was collected from more Canadian
  cities or included American cities.

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References

• http//www.obesitycanada.com/
• http//www.statscan.com/

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Questions ???