Clarian health health promotion inservice november 8, 2010
The Overweight And Obesity Prevalence Among Poles Final
1. Margaret Czart , MPH, DrPH (c ) University of Illinois at Chicago School of Public Health The Prevalence of Overweight and Obesity Among Poles
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6. Overweight & Obesity Trends in the United States 2004 1996 No Data <10% 10%–14% 15%–19% 20%–24% ≥25% Source: Center for Disease Control (CDC) (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” person) 1991
7. Overweight by BMI in the United States 1990-2002 Nationwide Median (%) Year 37.0 2002 37.2 2001 36.7 2000 36.8 1999 36.3 1998 36.3 1997 35.4 1996 35.5 1995 35.4 1994 35.3 1993 34.6 1992 33.6 1991 33.1 1990
8. Obesity by BMI in the United States 1990-2002 22.1 2002 21.0 2001 20.1 2000 19.7 1999 18.3 1998 16.6 1997 16.8 1996 15.8 1995 14.4 1994 13.7 1993 12.6 1992 12.6 1991 11.6 1990 Nationwide Median (%) Year
32. Results: Hypermarkets & BMI Buckwheat Grouts Honey Pork Fat Blood Sausage Salted Herring Lard Sausage Bacon Pork Loin with Bone Milk Chocolate Multi-fruit Juice Head Cheese Cured Pork Shoulder Milk – 3% Barley Yogurt – Fruit Flavor Fresh Carp Eggs Cocoa Milk – 2% Poultry Tenderloin Frozen Strawberries Tea Baked Ham Roast Beef with Bone Jam Coffee Rye Bread Butter Macaroni Sugar Chicken Rape Seed Oil Buns Flour Rice Foods Where as the average prices increase, BMI decreases Foods Where as the average prices increase, BMI increases
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Hinweis der Redaktion
Hello and Welcome! I would like to talk to you about the overweight and obesity prevalence among Poles. Allow me to begin be defining overweight and obesity.
There are three main definitions of Overweight and Obesity and they are as follows:
Slide 6: Overweight & Obesity Trends in the United States Here we see three maps showing the steady increase of obesity in the United States. In 1991 only a few states had an obesity rate of 15-19% while others had a rate of 10-14%. By 1996 the rate of obesity was between 10-19% with a majority between 15-19%. In 2004 many southern states had a rate of 25% or above while the remaining majority were between 20-24%. Only a few states had a rate of 15-19%.
Slide 7: Obesity by BMI in US In 1990 the nationwide median of BMI was at 11.6 and by 2002 the median increased to 22.1.
Slide 12: Here we see two maps where one shows the 16 Voivodships of Poland and the other shows how the Voivodships were separated into 9 regions. They are as follows: The North region consists of Zachodnio-Pomorskie and Pomorskie Voivodships The North-East region consists of Warminsko-Mazurskie and Podlaskie Region The Mazowieckie Voivodship makes up the Central Region while Lodzkie is labeled as the Middle region and Lubelskie as the Middle-East region. The Swietokrzyskie,Malopolskie and Podkarpackie Voivodships make up the South-East region while Opolskie and Slaskie make up the south region. Lubuskie and Dolnoslaskie make up the South-West while Wielkopolskie and Kujawsko-Pomorskie are considered the west region.
Slide 15: Trends of Overweight by Region This graph show the rates of overweight individuals of the sample population based on region and gender. In 7 out of 9 regions males have a higher overweight rate than females. The regions in which females have a higher overweight rate are the Middle-East (Lubelskie) and Central (Mazowieckie).
Slide 16: Trends in Obesity in Sample Population by Region This graph show the rates of obese individuals of the sample population based on region and gender. When you take only the obese individuals under considerations you will notice that females have a higher rate of becoming obese in 3 regions (the West, South-west and Middle-East regions) while males have a higher rate in the remaining 6 regions.
Slide 17: Trends of Overweight in Sample Population by Voivodship and Gender Looking at the overweight rates by Voivodships males have a higher rate in majority of the regions with exception of Dolnoslaskie and Lubelskie which make up the the South-West region. Males have the highest overweight rate in the Podkarpackie Voivodships while females have the highest overweight rate in the Swietokrzyskie Voivodship and both of these two Voivodships make up the South-east region.
Slide 86: Trends of Obesity by Voivodship and Gender In regards to obesity by Voivodship and gender females have a highest Obesity rate in Dolnoslaskie. Females also have a slightly higher rate of obesity than males in the Lubelskie, Swietokrzyskie and Wiekopolskie Voivodships. Notice that there are no obese female in either the Lubuskie or Opolskie Voivodships Males on the other hand have the highest obese rate in the Podlaskie Voivodship and then there is no obese males in Lubuskie.
Slide 19: Trends of Overweight by Age and Gender This graph shows the rate of overweight individuals based by age groups. Based on the sample population as individuals get older the overweight rate increase as well. The highest overweight rate is between the ages of 60-65 for males and above 65 years old for females.
Slide 20: Trends of Overweight by Age and Gender Looking at the obese individuals based by age groups. The highest obese rate is between the ages of 60-65 for both males and females. Please note the sudden rise in obesity rate occurs between the 21-29 and 30-39 age group. and that in this particular sample population between the ages of 21-29 there are no obese females.
Slide 21: Trends of overweight in Sample by Education and Gender Looking at the graph we see that for both males and females the Overweight rate is at approximately 60% at the primary education level. However, as females become more educated the overweight rate decreases. For males however, the overweight increases.
Slide 22: Trends of obesity in Sample by Education and Gender When taking into consideration only the obese individuals for both males and females the obesity rate decrease as they become more educated. However, the obesity rate for females is still lower than the rate for males.
Slide 23: Trends of Overweight in Sample Population by Marital Status and Gender In this graph we see the relationship between the marital status and overweight individuals. Individuals who are single have a lower rate of becoming overweight than those that are married, divorced or widowed. However, single males have a higher overweight rate than single females. It should also be noted that the divorced overweight rate is higher than the single status but it is much lower than that of the married individuals. Finally, looking at the Widow status you will notice that females have a slightly higher overweight rate than males.
Slide 24: Trends of Overweight in Sample Population by Marital Status and Gender For obese individuals the trend is slightly different. For females the single status has the lowest obesity rate and widow has the highest rate. The lowest rate for males is at the divorced marital status and the highest at the married and widow marital status which are at approximately 15.00%.
Slide 25: Trends of Overweight in Sample Population by Income and Gender This table shows the relationship between gender and income. You will notice that males have a higher overweight rate for all income rages with exception of the lowest income group where females have a higher overweight rate.
Slide 26: Trends of Obesity in Sample Population by Income and Gender When we take a look only at the obese individuals you will notice that females again have the higher rate at the lowest income rate.
Slide 27: Trends of Overweight in Sample Population by Town Size and Gender In comparing the town size to the overweight rate males have a higher overweight rate than males no matter if they live in a small rural village or a large urban area. The males highest overweight rate is in towns with 50,000 residents while for females the highest rate is in towns with 200,000 residents.
Slide 26: Trends of Obesity in Sample Population by Town Size and Gender For obesity the rates are slightly different. In small villages males have only a 5 % higher obesity rate than females whereas females have a slightly higher rate in towns above 500,000 residents. The largest obesity rate differences between genders is in towns with 50,000 residents and towns of 200,00 residents.
Slide 27: Socio-Demographics Statistically Significantly Related to BMI Based on the statistical data analysis for the total sample population , males and females are the following: