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	<title>Lars Kroll &#124; English</title>
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	<description>Researcher at the Robert Koch-Institute in Berlin</description>
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		<title>Lars Kroll &#124; English</title>
		<link>http://lkrollen.wordpress.com</link>
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			<item>
		<title>Diabetes Trends in Germany</title>
		<link>http://lkrollen.wordpress.com/2009/06/18/diabetes-trends-in-germany/</link>
		<comments>http://lkrollen.wordpress.com/2009/06/18/diabetes-trends-in-germany/#comments</comments>
		<pubDate>Thu, 18 Jun 2009 07:41:57 +0000</pubDate>
		<dc:creator>Lars</dc:creator>
				<category><![CDATA[Diabetes]]></category>
		<category><![CDATA[Health]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Trends]]></category>

		<guid isPermaLink="false">http://lkrollen.wordpress.com/?p=22</guid>
		<description><![CDATA[
Title:
Diabetes  Prevalence of known diabetes in German adults aged 25–69 years: results from national health surveys over 15 years
Authors: 
C. Heidemann, L. Kroll, A. Icks*, T. Lampert and C. Scheidt-Nave
KEYWORDS:
cross-sectional studies • diabetes mellitus • health surveys • prevalence • trend
Abstract:
Aims:
The few studies examining the secular trend in diabetes prevalence in Germany have yielded [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=lkrollen.wordpress.com&blog=786329&post=22&subd=lkrollen&ref=&feed=1" />]]></description>
			<content:encoded><![CDATA[<div class='snap_preview'><br /><p><a href="http://www3.interscience.wiley.com/journal/122371933/abstract"><img class="alignnone" src="http://lkroll.files.wordpress.com/2009/06/diabetes_trends.png?w=400&amp;h=183&#038;h=183" alt="" width="400" height="183" /></a></p>
<p><strong>Title:</strong><br />
Diabetes  Prevalence of known diabetes in German adults aged 25–69 years: results from national health surveys over 15 years</p>
<p><strong>Authors: </strong><br />
C. Heidemann, L. Kroll, A. Icks*, T. Lampert and C. Scheidt-Nave</p>
<p><strong>KEYWORDS:</strong><br />
cross-sectional studies • diabetes mellitus • health surveys • prevalence • trend</p>
<p><strong>Abstract:</strong></p>
<p>Aims:<br />
The few studies examining the secular trend in diabetes prevalence in Germany have yielded conflicting results. Therefore, using nationally representative samples of adults, we investigated whether the prevalence of known diabetes has changed over 15 years.</p>
<p>Methods:<br />
Study participants were 25- to 69-year-old residents participating in nationally representative health surveys performed in the following time periods: 1990–1992, 1997–1999, 2002–2003, 2003–2004 and 2004–2005. Prevalences of diabetes, standardized to the population structure of 2004, and trends over time were assessed for the total study population as well as by gender and other diabetes-associated factors.</p>
<p>Results:<br />
Between 1990–1992 and 2002–2005, no statistically significant trend in the total (5.16 and 5.34%, P trend = 0.68) or sex-specific diabetes prevalence (men: 5.43 and 5.73, P trend = 0.62; women: 4.88 and 4.95%, P trend = 0.94) was observed. For each time period, prevalence rose substantially with increasing age, increasing body mass index, lower sporting activity and lower education.</p>
<p>Conclusions:<br />
Our findings reflect no temporal increase in the total prevalence of known diabetes in German adult men and women. However, prevalence estimates were relatively high when compared with other European studies and call for continued efforts for the prevention and management of diabetes. Accepted 15 April 2009</p>
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			<media:title type="html">Lars</media:title>
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	</item>
		<item>
		<title>Presentation at the ISA-Forum 08 in Barcelona &#124; Healthy Life Expectancy</title>
		<link>http://lkrollen.wordpress.com/2008/05/08/presentation-at-the-isa-forum-08-in-barcelona-healthy-life-expectancy/</link>
		<comments>http://lkrollen.wordpress.com/2008/05/08/presentation-at-the-isa-forum-08-in-barcelona-healthy-life-expectancy/#comments</comments>
		<pubDate>Thu, 08 May 2008 07:43:27 +0000</pubDate>
		<dc:creator>Lars</dc:creator>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Science]]></category>
		<category><![CDATA[Sociology]]></category>
		<category><![CDATA[life expectancy]]></category>

		<guid isPermaLink="false">http://lkrollen.wordpress.com/?p=19</guid>
		<description><![CDATA[
”Are Things Getting Better or Worse, and Why? The Role of Social Indicators to Inform Public Policy”
ISA – Working Group 06 “Social Indicators
Conference Track at 1st ISA Forum “Sociological Research and Public Debate”
Barcelona, September 5 – 8, 2008
Session 1: Indicators and Their Use to Guide Policies in the Field of Health
Chair: Heinz-Herbert Noll, GESIS-ZUMA, Mannheim, [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=lkrollen.wordpress.com&blog=786329&post=19&subd=lkrollen&ref=&feed=1" />]]></description>
			<content:encoded><![CDATA[<div class='snap_preview'><br /><p><a href="http://www.isa-sociology.org/barcelona_2008/"><img style="border:0 none;margin:5px;" src="http://www.isa-sociology.org/barcelona_2008/img/bcn05.jpg" alt="" width="465" height="107" /></a></p>
<p><strong>”Are Things Getting Better or Worse, and Why? The Role of Social Indicators to Inform Public Policy”</strong><br />
ISA – Working Group 06 “Social Indicators<br />
Conference Track at <a href="http://www.isa-sociology.org/barcelona_2008/">1st ISA Forum</a> “Sociological Research and Public Debate”<br />
Barcelona, September 5 – 8, 2008</p>
<p><strong>Session 1: </strong>Indicators and Their Use to Guide Policies in the Field of Health<br />
Chair: Heinz-Herbert Noll, GESIS-ZUMA, Mannheim, Germany</p>
<p><strong>Authors:<br />
</strong>Lars Eric Kroll; Thomas Lampert; Cornelia Lange; Thomas Ziese</p>
<p><strong>Title</strong>: Healthy Life Expectancy as an indicator to compare the health of societies</p>
<p><strong>Abstract:<br />
</strong>Background<br />
Healthy life expectancy is an important indicator to describe the consequences of demo-graphic change for different societies. Possible scenarios are an overall increase of the years people are suffering diseases or functional limitations (“expansion of morbidity”), a decline of the morbid time in the life course (“compression of morbidity”) and a “dynamic equilibrium” of morbidity and mortality. We will discuss the concept and problems of the indicator healthy life expectancy for policy advice.<br />
<span id="more-19"></span>Data and Methods<br />
Data of the German Socio-Economic Panel (GSOEP) for 1984 to 2006 (n=185,275) allow us to estimate trends of healthy life expectancy using different definitions of health status (severe disability; functional limitations; self-perceived health status) based on Sullivan’s method for Germany. We will discuss three important problems in the measurement of healthy life expec-tancies empirically.</p>
<p>Results<br />
First Trends based on four different conceptualisations of health status show a large extend of variation. It turns out that only minor changes in the wording of the underlying questions have a strong impact on the resulting estimates. Second the age-specific rise in the denial rate of surveys leads to an overestimation of health status among the elderly. It is shown that this problem can be reduced using a parametric modelling of the age related risk of morbidity, instead of the common approach that estimates the prevalence of morbidity in 5year age-groups. Third a monitoring of social inequalities in healthy life expectancy (as intended by the EU) has to include inequalities in life expectancy in addition to inequalities in health status. Otherwise population estimates would likely underestimate socio-economic inequalities in healthy life expectancies.</p>
<p>Discussion<br />
While the importance of the indicator healthy life expectancy is rising, problems regarding its conceptualization and measurement are getting into the focus. Our results have shown three important limitations of the indicator in terms of the validity and reliability of its measure-ment. In our opinion a meaningful application of the concept in policy advice should report results based on different health indicators to account for the multi-dimensionality of health and the difficulties in its measurement.</p>
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	</item>
		<item>
		<title>Presentation at SOEP2008 &#124; Life expectancy</title>
		<link>http://lkrollen.wordpress.com/2008/03/25/presentation-at-soep2008-life-expectancy/</link>
		<comments>http://lkrollen.wordpress.com/2008/03/25/presentation-at-soep2008-life-expectancy/#comments</comments>
		<pubDate>Tue, 25 Mar 2008 13:49:58 +0000</pubDate>
		<dc:creator>Lars</dc:creator>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[SOEP]]></category>
		<category><![CDATA[Science]]></category>

		<guid isPermaLink="false">http://lkrollen.wordpress.com/?p=18</guid>
		<description><![CDATA[Title:
Analyses of socio-economic inequalities in life expectancy using SOEP

Abstract:
Introduction
Inequalities in life expectancy are a main focus concerning health inequalities in general. Germany’s office of statistics can’t provide data on inequalities in mortality. Evidence is available using SOEP, but recent results suggest that the survival rates of the respondents are overestimated. We will present an alternative [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=lkrollen.wordpress.com&blog=786329&post=18&subd=lkrollen&ref=&feed=1" />]]></description>
			<content:encoded><![CDATA[<div class='snap_preview'><br /><p class="MsoNormal" style="line-height:normal;"><strong><span style="font-size:12pt;">Title:<br />
</span></strong><span style="font-size:12pt;">Analyses of socio-economic inequalities in life expectancy using SOEP</span></p>
<p class="MsoNormal" style="line-height:normal;"><a href="http://www.diw.de/english/soep2008/74191.html"><img src="http://www.diw.de/sixcms/media.php/37/Logo.341010.jpg" border="0" alt="" hspace="2" vspace="2" width="250" align="middle" /></a></p>
<p class="MsoNormal" style="line-height:normal;"><span id="more-18"></span><strong><span style="font-size:12pt;">Abstract</span></strong><span style="font-size:12pt;"><strong>:</strong></span></p>
<p class="MsoNormal" style="line-height:normal;"><em><span style="font-size:12pt;">Introduction</span></em><span style="font-size:12pt;"><br />
Inequalities in life expectancy are a main focus concerning health inequalities in general. Germany’s office of statistics can’t provide data on inequalities in mortality. Evidence is available using SOEP, but recent results suggest that the survival rates of the respondents are overestimated. We will present an alternative specification that leads to better results.</span></p>
<p class="MsoNormal" style="line-height:normal;"><em><span style="font-size:12pt;">Data and Methods</span></em><br />
<span style="font-size:12pt;">We are using the SOEP and period specific life tables for 1995-2005. Parametric regression models are fitted to estimate the relative mortality risk of five income groups. We controlled for overestimation of survival rates using the general period specific life tables.</span></p>
<p class="MsoNormal" style="line-height:normal;"><em><span style="font-size:12pt;">Results</span></em><br />
<span style="font-size:12pt;">Unweighted data overestimates life expectancy at birth by approximately 6.5 and 4.1 years for men and women, weighted data are slightly better with 5.5 and 3.1 years. After applying a correction, we observed a difference to the highest income group of 10.8 and 8.4 years and an overall life expectancy of 70.1 and 76.9 years for men and women at risk of poverty.</span></p>
<p><em><span style="font-size:12pt;">Discussion<br />
</span></em><span style="font-size:12pt;">The presented specification can be applied to different status indicators and leads to more comparable results using SOEP. The small sample size for survival analyses however poses limits to potential international comparisons and trend analyses.</span></p>
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		<title>Statalist RSS Feed</title>
		<link>http://lkrollen.wordpress.com/2007/04/15/statalist-rss-feed/</link>
		<comments>http://lkrollen.wordpress.com/2007/04/15/statalist-rss-feed/#comments</comments>
		<pubDate>Sun, 15 Apr 2007 09:53:55 +0000</pubDate>
		<dc:creator>Lars</dc:creator>
				<category><![CDATA[Ado]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[Stata]]></category>
		<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://lkrollen.wordpress.com/2007/04/15/statalist-rss-feed/</guid>
		<description><![CDATA[I&#8217;ve implemented a RSS Feed to the Stata User&#8217;s list &#8220;Statalist&#8220;. If you are interested in it, you can see the posts of the last 7 days or search the stalist archive using google at this site.
Or you can simply subscribe to the RSS feed using the following link:
 Subscribe in a reader
   [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=lkrollen.wordpress.com&blog=786329&post=14&subd=lkrollen&ref=&feed=1" />]]></description>
			<content:encoded><![CDATA[<div class='snap_preview'><br /><p>I&#8217;ve implemented a <strong>RSS Feed </strong>to the Stata User&#8217;s list &#8220;<strong>Statalist</strong>&#8220;. If you are interested in it, you can see the posts of the last 7 days or search the stalist archive using google at this <a href="http://statalistrss.blogspot.com/">site</a>.</p>
<p>Or you can simply subscribe to the RSS feed using the following link:</p>
<p><a rel="alternate" href="http://feeds.feedburner.com/StatalistRss"><img style="border:0 none;vertical-align:middle;" src="http://www.feedburner.com/fb/images/pub/feed-icon16x16.png" alt="" /></a> <a rel="alternate" href="http://feeds.feedburner.com/StatalistRss">Subscribe in a reader</a></p>
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		<title>Article on social capital and health</title>
		<link>http://lkrollen.wordpress.com/2007/02/22/socialcapital_and_health_in_germany/</link>
		<comments>http://lkrollen.wordpress.com/2007/02/22/socialcapital_and_health_in_germany/#comments</comments>
		<pubDate>Thu, 22 Feb 2007 09:10:33 +0000</pubDate>
		<dc:creator>Lars</dc:creator>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Science]]></category>
		<category><![CDATA[Social Capital]]></category>
		<category><![CDATA[Social Inequality]]></category>
		<category><![CDATA[news]]></category>

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		<description><![CDATA[I&#8217;ve published an article on the interrelation of social capital, social inequality and health in Germany using GSOEP data.  It will appear in march in the pear reviewed journal &#8220;Das Gesundheitswesen&#8220;.
Abstract
The concept of social capital has been intensively discussed in public health during the last years. But there is only little empirical evidence regarding [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=lkrollen.wordpress.com&blog=786329&post=12&subd=lkrollen&ref=&feed=1" />]]></description>
			<content:encoded><![CDATA[<div class='snap_preview'><br /><p>I&#8217;ve published an article on the interrelation of social capital, social inequality and health in Germany using GSOEP data.  It will appear in march in the pear reviewed journal &#8220;<a href="http://www.thieme-connect.de/ejournals/toc/gesu" target="_blank">Das Gesundheitswesen</a>&#8220;.</p>
<p><span id="more-12"></span><strong><span>Abstract</span></strong></p>
<p class="MsoNormal"><span>The concept of social capital has been intensively discussed in public health during the last years. But there is only little empirical evidence regarding its association with health in </span><span>Germany</span><span> up to now. We’re using data of the German Socio-Economic Panel (GSOEP) out of 2003 to analyze the health utility of social capital. The results suggest a clear positive association among different forms of social capital (trust, norms of reciprocity, participation, social integration) and subjective health. Men and women who are poorly socially integrated regard their own health comparably often as limited.<span> In contrast to them men and women who hold any form of social capital rate their own health status noticeable better. In multivariate analysis socio-economic differences in subjective health could be traced back partly to the stock of social capital.</span> In addition to its health utility, social capital may therefore make a contribution to understand the emergence of social inequalities in health. All in all results suggest that the concept of social capital should be considered even more in public health. Due to the present lack of empirical evidence social capital has to be incorporated into more studies in </span><span>Germany</span><span>.</span></p>
<p><span><strong>Keywords</strong></span></p>
<p class="MsoNormal"><span>Social capital, social inequality, subjective health status, GSOEP</span></p>
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		<title>New Stata Ado &#8211; XTMRHO</title>
		<link>http://lkrollen.wordpress.com/2007/02/20/new-stata-ado-xtmrho/</link>
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		<pubDate>Tue, 20 Feb 2007 08:44:26 +0000</pubDate>
		<dc:creator>Lars</dc:creator>
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		<description><![CDATA[XTMRHO &#8211; Is a usefull Stata ADO to calculate intra class correlations (rho) after fitting a multi-level model using Stata&#8217;s xtmixed.
Authors: Lars E. Kroll       Req: Stata version 9
Created: 2007-02-19
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			<content:encoded><![CDATA[<div class='snap_preview'><br /><p><span id="more-11"></span>XTMRHO &#8211; Is a usefull Stata ADO to calculate intra class correlations (rho) after fitting a multi-level model using Stata&#8217;s xtmixed.</p>
<p>Authors: Lars E. Kroll       Req: Stata version 9<br />
Created: 2007-02-19</p>
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		<title>English version online</title>
		<link>http://lkrollen.wordpress.com/2007/02/17/english-version-online/</link>
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		<pubDate>Sat, 17 Feb 2007 16:49:20 +0000</pubDate>
		<dc:creator>Lars</dc:creator>
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