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		<title>BioDiets HCG Medical Diets is Now Available in 39 States</title>
		<link>http://biodiets.wordpress.com/2010/02/01/biodiets-hcg-medical-diets-is-now-available-in-39-states/</link>
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		<pubDate>Mon, 01 Feb 2010 18:26:21 +0000</pubDate>
		<dc:creator>biodiets</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[bio diet]]></category>
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		<category><![CDATA[hcg diet]]></category>
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		<description><![CDATA[SCOTTSDALE, AZ &#8211; BIODIETS HCG MEDICAL WEIGHT LOSS BioDiets HCG Medical Weight Loss programs are now available in 39 states in the US. BioDiets has partnered with physicians around the country to provide their cutting edge medical weight loss program for individuals needing to lose at least 20 pounds or more. BioDiets Medical Weight Loss program [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=biodiets.wordpress.com&amp;blog=9605509&amp;post=7&amp;subd=biodiets&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>SCOTTSDALE, AZ &#8211; BIODIETS HCG MEDICAL WEIGHT LOSS</p>
<p>BioDiets HCG Medical Weight Loss programs are now available in 39 states in the US. BioDiets has partnered with physicians around the country to provide their cutting edge medical weight loss program for individuals needing to lose at least 20 pounds or more. BioDiets Medical Weight Loss program consists of a calorie-restricted diet along with daily injecctions of a hormone called human chorionic gonadotropin or hCG for short.</p>
<p>Human Chorionic Gonadatropin (HCG) is a hormone that is naturally produced in the body, in both women and men.  It has been called the “pregnancy hormone”, but it actually performs many functions in the body and is used to treat a variety of medical conditions. </p>
<p>HCG encourages weight loss by mobilizing stored fat, most commonly from the abdomen, thighs, and buttocks.  The body then utilizes this stored fat for energy and nutrition, just as it does during pregnancy.  It only does this, however, if HCG is used in combination with a specific calorie restricted diet.  A “starvation” state must exist for HCG to work. </p>
<p>Using HCG alone will not provide the wanted weight loss results, just as using calorie restriction to create a “starvation” state alone will not provide healthy weight loss results.  It is therefore very important to follow the BioDiets Medical Weight Loss Program as it is designed, in order to achieve desired weight loss goals and be healthy along the way.</p>
<p>Using HCG not only allows the body to get rid of the stored fat, but it also changes the fat-storage regulatory system in the brain in order to prevent rebound weight gain and to have a more efficient fat storage function for the future.</p>
<p>For more information on the BioDiets Medical Weight Loss program or to find a physician in your area please visit <a href="http://www.biodiets.com">http://www.biodiets.com</a> or call 1-866-307-Diet Today!</p>
<h6>† FDA Required Statement: HCG has not been demonstrated to be effective adjunctive therapy in the treatment of obesity. There is no substantial evidence that it increases weight loss beyond that resulting from caloric restriction, that it causes a more attractive or &#8220;normal&#8221; distribution of fat, or that it decreases the hunger and discomfort associated with calorie-restricted diets.<br />
BioHRT Technologies, Inc. does not manufacture, distribute, or sell any medications and has no relationship with any manufacturers or distributors of medications used in any physician treatment program(s).</h6>
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		<title>U.S. Obesity Trends</title>
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		<pubDate>Mon, 01 Feb 2010 17:47:46 +0000</pubDate>
		<dc:creator>biodiets</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[obesity trends]]></category>
		<category><![CDATA[weight gain in united states]]></category>
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		<description><![CDATA[Trends by State 1985–2008 Obesity is defined as a body mass index (BMI) of 30 or greater. BMI is calculated from a person&#8217;s weight and height and provides a reasonable indicator of body fatness and weight categories that may lead to health problems. Obesity is a major risk factor for cardiovascular disease, certain types of [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=biodiets.wordpress.com&amp;blog=9605509&amp;post=5&amp;subd=biodiets&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<h1>Trends by State 1985–2008</h1>
<p>Obesity is defined as a body mass index (BMI) of 30 or greater. BMI is calculated from a person&#8217;s weight and height and provides a reasonable indicator of body fatness and weight categories that may lead to health problems. Obesity is a major risk factor for cardiovascular disease, certain types of cancer, and type 2 diabetes</p>
<p>During the past 20 years there has been a dramatic increase in obesity in the United States. In 2008, only one state (Colorado) had a prevalence of obesity less than 20%. Thirty-two states had a prevalence equal to or greater than 25%; six of these states (Alabama, Mississippi, Oklahoma, South Carolina, Tennessee, and West Virginia ) had a prevalence of obesity equal to or greater than 30%.</p>
<p>The animated map below shows the United States obesity prevalence from 1985 through 2008.</p>
<table id="table1" border="1" cellspacing="0" cellpadding="2">
<tbody>
<tr>
<td align="center" bgcolor="#ffffff"><strong><a href="SLIDES.previous()">&lt;previous</a> <a href="SLIDES.next()">next&gt;</a> <a href="SLIDES.play()">play</a> <a href="SLIDES.pause()">stop</a> </strong></p>
<div id="SLIDESTEXT"> </div>
<p><a href="SLIDES.hotlink()"><img src="http://www.cdc.gov/obesity/data/animated_map_slides/map22.jpg" border="0" alt="Obesity map. For data, see PowerPoint or PDF linked above." width="500" height="291" /></a> // </td>
</tr>
</tbody>
</table>
<p> </p>
<table>
<tbody>
<tr valign="top">
<th colspan="8" scope="col">2008 State Obesity Rates</th>
</tr>
<tr valign="top">
<th align="left" scope="col">State</th>
<th scope="col">%</th>
<th align="left" scope="col">State</th>
<th scope="col">%</th>
<th align="left" scope="col">State</th>
<th scope="col">%</th>
<th align="left" scope="col">State</th>
<th scope="col">%</th>
</tr>
<tr valign="top">
<td align="left" bgcolor="#ffffff">Alabama</td>
<td bgcolor="#ffffff">31.4</td>
<td align="left" bgcolor="#ffffff">Illinois</td>
<td bgcolor="#ffffff">26.4</td>
<td align="left" bgcolor="#ffffff">Montana</td>
<td bgcolor="#ffffff">23.9</td>
<td align="left" bgcolor="#ffffff">Rhode Island</td>
<td bgcolor="#ffffff">21.5</td>
</tr>
<tr valign="top">
<td align="left" bgcolor="#ffffff">Alaska</td>
<td bgcolor="#ffffff">26.1</td>
<td align="left" bgcolor="#ffffff">Indiana</td>
<td bgcolor="#ffffff">26.3</td>
<td align="left" bgcolor="#ffffff">Nebraska</td>
<td bgcolor="#ffffff">26.6</td>
<td align="left" bgcolor="#ffffff">South Carolina</td>
<td bgcolor="#ffffff">30.1</td>
</tr>
<tr valign="top">
<td align="left" bgcolor="#ffffff">Arizona</td>
<td bgcolor="#ffffff">24.8</td>
<td align="left" bgcolor="#ffffff">Iowa</td>
<td bgcolor="#ffffff">26.0</td>
<td align="left" bgcolor="#ffffff">Nevada</td>
<td bgcolor="#ffffff">25.0</td>
<td align="left" bgcolor="#ffffff">South Dakota</td>
<td bgcolor="#ffffff">27.5</td>
</tr>
<tr valign="top">
<td align="left" bgcolor="#ffffff">Arkansas</td>
<td bgcolor="#ffffff">28.7</td>
<td align="left" bgcolor="#ffffff">Kansas</td>
<td bgcolor="#ffffff">27.4</td>
<td align="left" bgcolor="#ffffff">New Hampshire</td>
<td bgcolor="#ffffff">24.0</td>
<td align="left" bgcolor="#ffffff">Tennessee</td>
<td bgcolor="#ffffff">30.6</td>
</tr>
<tr valign="top">
<td align="left" bgcolor="#ffffff">California</td>
<td bgcolor="#ffffff">23.7</td>
<td align="left" bgcolor="#ffffff">Kentucky</td>
<td bgcolor="#ffffff">29.8</td>
<td align="left" bgcolor="#ffffff">New Jersey</td>
<td bgcolor="#ffffff">22.9</td>
<td align="left" bgcolor="#ffffff">Texas</td>
<td bgcolor="#ffffff">28.3</td>
</tr>
<tr valign="top">
<td align="left" bgcolor="#ffffff">Colorado</td>
<td bgcolor="#ffffff">18.5</td>
<td align="left" bgcolor="#ffffff">Louisiana</td>
<td bgcolor="#ffffff">28.3</td>
<td align="left" bgcolor="#ffffff">New Mexico</td>
<td bgcolor="#ffffff">25.2</td>
<td align="left" bgcolor="#ffffff">Utah</td>
<td bgcolor="#ffffff">22.5</td>
</tr>
<tr valign="top">
<td align="left" bgcolor="#ffffff">Connecticut</td>
<td bgcolor="#ffffff">21.0</td>
<td align="left" bgcolor="#ffffff">Maine</td>
<td bgcolor="#ffffff">25.2</td>
<td align="left" bgcolor="#ffffff">New York</td>
<td bgcolor="#ffffff">24.4</td>
<td align="left" bgcolor="#ffffff">Vermont</td>
<td bgcolor="#ffffff">22.7</td>
</tr>
<tr valign="top">
<td align="left" bgcolor="#ffffff">Delaware</td>
<td bgcolor="#ffffff">27.0</td>
<td align="left" bgcolor="#ffffff">Maryland</td>
<td bgcolor="#ffffff">26.0</td>
<td align="left" bgcolor="#ffffff">North Carolina</td>
<td bgcolor="#ffffff">29.0</td>
<td align="left" bgcolor="#ffffff">Virginia</td>
<td bgcolor="#ffffff">25.0</td>
</tr>
<tr valign="top">
<td align="left" bgcolor="#ffffff">Washington DC</td>
<td bgcolor="#ffffff">21.8</td>
<td align="left" bgcolor="#ffffff">Massachusetts</td>
<td bgcolor="#ffffff">20.9</td>
<td align="left" bgcolor="#ffffff">North Dakota</td>
<td bgcolor="#ffffff">27.1</td>
<td align="left" bgcolor="#ffffff">Washington</td>
<td bgcolor="#ffffff">25.4</td>
</tr>
<tr valign="top">
<td align="left" bgcolor="#ffffff">Florida</td>
<td bgcolor="#ffffff">24.4</td>
<td align="left" bgcolor="#ffffff">Michigan</td>
<td bgcolor="#ffffff">28.9</td>
<td align="left" bgcolor="#ffffff">Ohio</td>
<td bgcolor="#ffffff">28.7</td>
<td align="left" bgcolor="#ffffff">West Virginia</td>
<td bgcolor="#ffffff">31.2</td>
</tr>
<tr valign="top">
<td align="left" bgcolor="#ffffff">Georgia</td>
<td bgcolor="#ffffff">27.3</td>
<td align="left" bgcolor="#ffffff">Minnesota</td>
<td bgcolor="#ffffff">24.3</td>
<td align="left" bgcolor="#ffffff">Oklahoma</td>
<td bgcolor="#ffffff">30.3</td>
<td align="left" bgcolor="#ffffff">Wisconsin</td>
<td bgcolor="#ffffff">25.4</td>
</tr>
<tr valign="top">
<td align="left" bgcolor="#ffffff">Hawaii</td>
<td bgcolor="#ffffff">22.6</td>
<td align="left" bgcolor="#ffffff">Mississippi</td>
<td bgcolor="#ffffff">32.8</td>
<td align="left" bgcolor="#ffffff">Oregon</td>
<td bgcolor="#ffffff">24.2</td>
<td align="left" bgcolor="#ffffff">Wyoming</td>
<td bgcolor="#ffffff">24.6</td>
</tr>
<tr valign="top">
<td align="left" bgcolor="#ffffff">Idaho</td>
<td bgcolor="#ffffff">24.5</td>
<td align="left" bgcolor="#ffffff">Missouri</td>
<td bgcolor="#ffffff">28.5</td>
<td align="left" bgcolor="#ffffff">Pennsylvania</td>
<td bgcolor="#ffffff">27.7</td>
<td bgcolor="#ffffff"> </td>
<td bgcolor="#ffffff"> </td>
</tr>
</tbody>
</table>
<p>The data shown in these maps were collected through <a href="http://apps.nccd.cdc.gov/brfss">the CDC&#8217;s Behavioral Risk Factor Surveillance System (BRFSS)</a>. Each year, state health departments use standard procedures to collect data through a series of monthly telephone interviews with U.S. adults. Prevalence estimates generated for the maps may vary slightly from those generated for the states by the BRFSS as slightly different analytic methods are used.</p>
<h2><a id="Race" name="Race"></a>Obesity by Race/Ethnicity 2006-2008</h2>
<h3>New Obesity Data Shows Blacks Have the Highest Rates of Obesity</h3>
<p>Blacks had 51 percent higher prevalence of obesity, and Hispanics had 21 percent higher obesity prevalence compared with whites.</p>
<p>Greater prevalences of obesity for blacks and whites were found in the South and Midwest than in the West and Northeast. Hispanics in the Northeast had lower obesity prevalence than Hispanics in the Midwest, South or West.</p>
<p>For this study analysis, CDC analyzed the 2006−2008 BRFSS data.</p>
<p>For more, see <a href="http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5827a2.htm">Differences in Prevalence of Obesity Among Black, White, and Hispanic Adults — United States, 2006–2008</a>.<br />
Also available in a <a href="http://www.cdc.gov/mmwr/PDF/wk/mm5827.pdf" target="_blank">PDF version</a> (PDF-1.3Mb).</p>
<div>
<h3><strong>County-Specific Diabetes and Obesity Prevalence, 2007</strong></h3>
</div>
<p>Wide sections of the Southeast, Appalachia, and some tribal lands in the West and Northern Plains have the nation&#8217;s highest rates of obesity and diabetes. In many counties in those regions, rates of diagnosed diabetes exceed 10 percent and obesity prevalence is more than 30 percent.</p>
<p>Eighty-one percent of counties in the Appalachian region that includes Kentucky, Tennessee, and West Virginia have high rates of diabetes and obesity.  So do three-quarters of counties in the southern region that includes Alabama, Georgia, Louisiana, Mississippi, and South Carolina.</p>
<p>The estimates, in this week’s Morbidity and Mortality Weekly Report, are the first to provide county-level snapshots of obesity across the United States.  They also update diabetes county-level estimates released in 2008.</p>
<p>For more, see</p>
<ul>
<li><a href="http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5845a2.htm">Estimated County-Level Prevalence of Diabetes and Obesity &#8211; United States, 2007</a><br />
<em>MMWR</em>, November 20, 2009 / 58(45);1259-1263<br />
Also available in a <a href="http://www.cdc.gov/mmwr/PDF/wk/mm5845.pdf" target="_blank">PDF version</a> (PDF-2.5Mb)</li>
<li><a href="http://apps.nccd.cdc.gov/DDTSTRS/default.aspx">Diabetes Data and Trends</a><br />
County-level estimates of obesity and diagnosed diabetes.</li>
<li><a href="http://www.cdc.gov/diabetes/statistics/diabetes_slides.htm">PowerPoint Slides on Diabetes Data and Trends</a></li>
<li><a href="http://www.cdc.gov/diabetes">Diabetes Public Health Resource</a></li>
</ul>
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			<media:title type="html">Obesity map. For data, see PowerPoint or PDF linked above.</media:title>
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