<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>건강과 대안 &#187; 체질량지수(BMI)</title>
	<atom:link href="http://www.chsc.or.kr/tag/%EC%B2%B4%EC%A7%88%EB%9F%89%EC%A7%80%EC%88%98%28BMI%29/feed" rel="self" type="application/rss+xml" />
	<link>http://www.chsc.or.kr</link>
	<description>연구공동체</description>
	<lastBuildDate>Mon, 13 Apr 2026 01:34:28 +0000</lastBuildDate>
	<language>ko-KR</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.5.2</generator>
		<item>
		<title>[비만] 체질량지수(BMI)를 이용한 과체중 및 비만과 사망률 분석</title>
		<link>http://www.chsc.or.kr/?post_type=reference&#038;p=5888</link>
		<comments>http://www.chsc.or.kr/?post_type=reference&#038;p=5888#comments</comments>
		<pubDate>Thu, 29 Aug 2013 03:06:55 +0000</pubDate>
		<dc:creator>건강과대안</dc:creator>
				<category><![CDATA[미분류]]></category>
		<category><![CDATA[과체중(BMI of 25-<30)]]></category>
		<category><![CDATA[비만]]></category>
		<category><![CDATA[비만(BMI of 30-<35)]]></category>
		<category><![CDATA[정상체중(BMI of 18.5-<25)]]></category>
		<category><![CDATA[체질량지수(BMI)]]></category>

		<guid isPermaLink="false">http://www.chsc.or.kr/?post_type=reference&#038;p=5888</guid>
		<description><![CDATA[미국의 국가보건통계청(NCHS) 연구팀이 2013년 1월에 미국의학협회저널(JAMA)에 발표한 체질량지수(BMI)를 이용한 과체중 및 비만과 사망률 분석 논문입니다. 미국인 288만 명의 체질량 지수를 이용한 비만도와 27만 건의 사망 사례를 비교 분석한 [...]]]></description>
				<content:encoded><![CDATA[<div>미국의 국가보건통계청(NCHS) 연구팀이 2013년 1월에 미국의학협회저널(JAMA)에 발표한<br />
체질량지수(BMI)를 이용한 과체중 및 비만과 사망률 분석 논문입니다.</p>
<p>미국인 288만 명의 체질량 지수를 이용한 비만도와 27만 건의 사망 사례를 비교 분석한<br />
내용입니다.</p>
<p>정상체중(<span style="text-decoration: underline;">BMI of 18.5-&lt;25), </span>과체중(<span style="text-decoration: underline;">BMI of 25-&lt;30</span>), 비만(<span style="text-decoration: underline;">BMI of 30-&lt;35</span>) 지표 사용</p>
<p>정상체중인 사람보다 과체중인 사람의 사망률이 6% 낮은 것으로 나타남.<br />
체질량지수(BMI) 기준의 척도에 관한 논란 제기됨.</p>
<p>====================<a title="JAMA : the journal of the American Medical Association." role="menuitem" href="http://www.ncbi.nlm.nih.gov/pubmed/23280227#"><span style="color: #333333;"></p>
<p>JAMA.</span></a> 2013 Jan 2;309(1):71-82. doi: 10.1001/jama.2012.113905.</div>
<h1>Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis.</h1>
<div><a href="http://www.ncbi.nlm.nih.gov/pubmed?term=Flegal%20KM%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=23280227"><span style="color: #333333;">Flegal KM</span></a>, <a href="http://www.ncbi.nlm.nih.gov/pubmed?term=Kit%20BK%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=23280227"><span style="color: #333333;">Kit BK</span></a>, <a href="http://www.ncbi.nlm.nih.gov/pubmed?term=Orpana%20H%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=23280227"><span style="color: #333333;">Orpana H</span></a>, <a href="http://www.ncbi.nlm.nih.gov/pubmed?term=Graubard%20BI%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=23280227"><span style="color: #333333;">Graubard BI</span></a>.</div>
<div>
<h3>Source</h3>
<p>National Center for Health Statistics, Centers for Disease Control and Prevention, 3311 Toledo Rd, Room 4336, Hyattsville, MD 20782, USA. kmf2@cdc.gov</p>
</div>
<div>
<h3><span style="color: #985735; font-size: medium;"><a href="http://www.ncbi.nlm.nih.gov/pubmed/23280227">http://www.ncbi.nlm.nih.gov/pubmed/23280227</a></p>
<p>Abstract</span></h3>
<div>
<h4>IMPORTANCE:</h4>
<p>Estimates of the relative mortality risks associated with normal weight, overweight, and obesity may help to inform decision making in the clinical setting.</p>
<h4>OBJECTIVE:</h4>
<p>To perform a systematic review of reported hazard ratios (HRs) of all-cause mortality for overweight and obesity relative to normal weight in the general population.</p>
<h4>DATA SOURCES:</h4>
<p>PubMed and EMBASE electronic databases were searched through September 30, 2012, without language restrictions.</p>
<h4>STUDY SELECTION:</h4>
<p>Articles that reported HRs for all-cause mortality using standard body mass index (BMI) categories from prospective studies of general populations of adults were selected by consensus among multiple reviewers. Studies were excluded that used nonstandard categories or that were limited to adolescents or to those with specific medical conditions or to those undergoing specific procedures. PubMed searches yielded 7034 articles, of which 141 (2.0%) were eligible. An EMBASE search yielded 2 additional articles. After eliminating overlap, 97 studies were retained for analysis, providing a combined sample size of more than 2.88 million individuals and more than 270,000 deaths.</p>
<h4>DATA EXTRACTION:</h4>
<p>Data were extracted by 1 reviewer and then reviewed by 3 independent reviewers. We selected the most complex model available for the full sample and used a variety of sensitivity analyses to address issues of possible overadjustment (adjusted for factors in causal pathway) or underadjustment (not adjusted for at least age, sex, and smoking).</p>
<h4>RESULTS:</h4>
<p>Random-effects summary all-cause mortality HRs for overweight (BMI of 25-&lt;30), obesity (BMI of ≥30), grade 1 obesity (BMI of 30-&lt;35), and grades 2 and 3 obesity (BMI of ≥35) were calculated relative to normal weight (BMI of 18.5-&lt;25). The summary HRs were 0.94 (95% CI, 0.91-0.96) for overweight, 1.18 (95% CI, 1.12-1.25) for obesity (all grades combined), 0.95 (95% CI, 0.88-1.01) for grade 1 obesity, and 1.29 (95% CI, 1.18-1.41) for grades 2 and 3 obesity. These findings persisted when limited to studies with measured weight and height that were considered to be adequately adjusted. The HRs tended to be higher when weight and height were self-reported rather than measured.</p>
<h4>CONCLUSIONS AND RELEVANCE:</h4>
<p>Relative to normal weight, both obesity (all grades) and grades 2 and 3 obesity were associated with significantly higher all-cause mortality. Grade 1 obesity overall was not associated with higher mortality, and overweight was associated with significantly lower all-cause mortality. The use of predefined standard BMI groupings can facilitate between-study comparisons.</p>
</div>
</div>
]]></content:encoded>
			<wfw:commentRss>http://www.chsc.or.kr/?post_type=reference&#038;p=5888/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>[비만] 미국의 비만율- 상승, 하락, 또는 게걸음질(횡보)?</title>
		<link>http://www.chsc.or.kr/?post_type=reference&#038;p=2858</link>
		<comments>http://www.chsc.or.kr/?post_type=reference&#038;p=2858#comments</comments>
		<pubDate>Thu, 17 Mar 2011 09:55:13 +0000</pubDate>
		<dc:creator>건강과대안</dc:creator>
				<category><![CDATA[식품 · 의약품]]></category>
		<category><![CDATA[(National Health and Nutrition Examination Survey]]></category>
		<category><![CDATA[Behavioral Risk factor surveillance system]]></category>
		<category><![CDATA[CDC]]></category>
		<category><![CDATA[Youth Risk Behavior Survey]]></category>
		<category><![CDATA[과체중]]></category>
		<category><![CDATA[비만]]></category>
		<category><![CDATA[체질량지수(BMI)]]></category>

		<guid isPermaLink="false">http://www.chsc.or.kr/?post_type=reference&#038;p=2858</guid>
		<description><![CDATA[미국의 비만율 &#8211; 상승인가, 하락인가, 횡보인가(게걸음질 치고 있나)?&#160;NEJM 최신호에 발표된 article입니다. 저자들은 미국 정부의 통계를 기초로한 미국인의 비만율이 발표기관마다 서로 다른 사실에 대해 비판적으로 접근하고 있습니다.예를 들면, 미국 [...]]]></description>
				<content:encoded><![CDATA[<p><P>미국의 비만율 &#8211; 상승인가, 하락인가, 횡보인가(게걸음질 치고 있나)?<BR><BR>&nbsp;NEJM 최신호에 발표된 article입니다. 저자들은 미국 정부의 통계를 기초로한 미국인의 비만율이 발표기관마다 서로 다른 사실에 대해 비판적으로 접근하고 있습니다.<BR><BR>예를 들면, 미국 질병관리본부가 발표한 2009 미국 국민들의 건강 생활 양상을 분석한 자료(<B>Behavioral Risk factor surveillance system</B>)에서는 2007년과 2009년 사이에 미국 성인들의 비만율이 1.1% 상승했다고 밝히고 있습니다.<BR>&nbsp;<BR>반면, 미국 질병관리본부가 발표한&nbsp;2007–2008 국민건강영양조사<STRONG>(National Health and Nutrition Examination Survey</STRONG>)에서는 미국 여성의 비만율(35.5%), 2세~19세 청소년의 비만율(16.9%)은 과거 10년 동안 안정적으로 유지되고 있으며, 미국 남성의 미만율(32.2%)은 2003년부터 중요한 변화가 없다고 밝히고 있습니다.<BR><BR>저자들은 모두 정부기관에서 나온 자료를 기반으로 한 비만율 통계가 이렇게 다른 이유에 대해서 나름대로 분석을 하고 있습니다. <BR><BR>그 이유는 첫째, 자료 수집 방법의 차이에서 비롯된 것이라고 주장합니다. NHANES는 성인과 아동, BRFSS는 성인, 질병관리본부의 YRBS는 고등학생의 데이터를 인용하는데&#8230;체질량지수(BMI)를 계산하는 방식에서 BRFSS와&nbsp; YRBS는 자기 자신이 스스로 기입한 키와 몸무게를 가지고 계산하고, NHANES는 측정한 키와 몸무게 데이터를 가지고 계산을 합니다.<BR><BR></P><br />
<H1 style="PADDING-BOTTOM: 0px; LINE-HEIGHT: 18px; MARGIN: 0px 0px 2px; PADDING-LEFT: 0px; WIDTH: 378px; PADDING-RIGHT: 0px; FONT-FAMILY: times new roman, serif; COLOR: #000000; FONT-SIZE: 15px; FONT-WEIGHT: normal; PADDING-TOP: 0px"><A style="PADDING-BOTTOM: 0px; PADDING-LEFT: 0px; PADDING-RIGHT: 0px; COLOR: #000000; TEXT-DECORATION: none; PADDING-TOP: 0px" href="http://click2.nejm.org/cts/click?q=66666779%3B67513591%3B3VZ%2FAB3zO%2FvMb5UaKKLa99TgvR4hx4ajtZZniqKltiI%3D">Obesity Prevalence in the United States — Up, Down, or Sideways?</A>&nbsp; </H1><br />
<P style="PADDING-BOTTOM: 0px; LINE-HEIGHT: 13px; MARGIN: 0px 0px 2px; PADDING-LEFT: 0px; WIDTH: 378px; PADDING-RIGHT: 0px; FONT-FAMILY: arial, sans-serif; COLOR: #666666; FONT-SIZE: 10px; FONT-WEIGHT: normal; PADDING-TOP: 0px">S.Z. Yanovski and J.A. Yanovski | N Engl J Med 2011;364:987-989<BR></P><br />
<P>*원문은 첨부파일을 보세요.</P></p>
]]></content:encoded>
			<wfw:commentRss>http://www.chsc.or.kr/?post_type=reference&#038;p=2858/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>[비만] 한국인은 과체중이 사망률 가장 낮아</title>
		<link>http://www.chsc.or.kr/?post_type=reference&#038;p=2804</link>
		<comments>http://www.chsc.or.kr/?post_type=reference&#038;p=2804#comments</comments>
		<pubDate>Sat, 05 Mar 2011 10:44:49 +0000</pubDate>
		<dc:creator>건강과대안</dc:creator>
				<category><![CDATA[식품 · 의약품]]></category>
		<category><![CDATA[Asia Cohort Consortium]]></category>
		<category><![CDATA[과체중]]></category>
		<category><![CDATA[비만]]></category>
		<category><![CDATA[서구형 비만기준]]></category>
		<category><![CDATA[아시아 코호트 컨소시엄]]></category>
		<category><![CDATA[저체중]]></category>
		<category><![CDATA[체질량지수(BMI)]]></category>
		<category><![CDATA[한국형 비만기준]]></category>

		<guid isPermaLink="false">http://www.chsc.or.kr/?post_type=reference&#038;p=2804</guid>
		<description><![CDATA[&#8220;한국인은 과체중이 사망률 가장 낮아&#8221; &#160;서구형 비만기준, 아시아인에 맞게 바꿔야 서울의대 유근영ㆍ강대희 교수팀 NEJM에 논문출처 : 연합뉴스 2011/03/04 12:10&#160;http://www.yonhapnews.co.kr/society/2011/03/04/0701000000AKR20110304102100017.HTML?template=3398(서울=연합뉴스) 김길원 기자 = 보통 체질량지수(BMI)가 23~25 이상이면 과체중이나 비만으로 [...]]]></description>
				<content:encoded><![CDATA[<p><DIV id=newstitle class=news_title>&#8220;한국인은 과체중이 사망률 가장 낮아&#8221;<br />
<SCRIPT language=javascript>var url = document.URL;var pos = url.indexOf(&#8220;AKR&#8221;);var nid = url.substr(pos,20);var pos2 = url.indexOf(&#8220;audio=&#8221;);var nid2 = url.substr(pos2+6,1);if (nid2 == &#8216;Y&#8217;){document.write(&#8220;<a href=_javascript:audio_play('" + nid + "');>&#8220;);document.write(&#8220; <img src=http://img.yonhapnews.co.kr/basic/svc/06_images/090814_te_top_ic_05.gif border=0 alt=오디오듣기></a>&#8220;);}</SCRIPT><br />
 <BR>&nbsp;<BR>서구형 비만기준, 아시아인에 맞게 바꿔야 <BR>서울의대 유근영ㆍ강대희 교수팀 NEJM에 논문<BR><BR>출처 : 연합뉴스 <SPAN class=date>2011/03/04 12:10&nbsp;<BR><A href="http://www.yonhapnews.co.kr/society/2011/03/04/0701000000AKR20110304102100017.HTML?template=3398">http://www.yonhapnews.co.kr/society/2011/03/04/0701000000AKR20110304102100017.HTML?template=3398</A></SPAN><BR><BR>(서울=연합뉴스) 김길원 기자 = 보통 체질량지수(BMI)가 23~25 이상이면 과체중이나 비만으로 분류돼 건강에 좋지 않다는 권고를 받지만 한국인의 경우 BMI가 22.6~27.5일 때 사망할 확률이 가장 낮다는 대규모 역학조사(코호트) 결과가 나와 주목된다.<BR><BR>&nbsp;&nbsp; 이에 따라 전문가 사이에서는 한국인을 포함한 아시아인의 과체중과 비만기준을 정립해야 한다는 주장이 힘을 얻고 있다.<BR><BR>&nbsp;&nbsp; 서울의대 예방의학교실 유근영ㆍ강대희ㆍ박수경 교수팀은 `아시아 코호트 컨소시엄(Asia Cohort Consortium, 공동의장 강대희)&#8217;을 구성해 한국인 2만명을 포함한 아시아인 114만명을 대상으로 지난 2005년부터 평균 9.2년을 추적 관찰한 결과 이같이 나타났다고 4일 밝혔다.<BR><BR>이번 코호트에는 한국, 일본, 중국 등 아시아 7개국이 참여했다.<BR><BR>&nbsp;&nbsp; 연구논문은 그 중요성을 인정받아 세계 최고 권위지로 꼽히는 `NEJM(New England Journal of Medicine)&#8217; 최근호에 실렸다.<BR><BR>&nbsp;&nbsp; 연구팀에 따르면 비만한 사람의 사망 확률이 높다는 보고는 유럽이나 미국인을 대상으로 한 연구결과에 근거한 게 대부분이다. 이 때문에 아시아인에게는 서구형 비만기준이 잘 맞지 않는다는 지적이 많았다.<BR><BR>&nbsp;&nbsp; 비만도를 평가하는 데 잣대가 되는 체질량지수(BMI)는 가장 흔히 사용되는 비만기준으로 자신의 체중(㎏)을 키(m)의 제곱으로 나눈 값을 말한다. 비만의 기준은 현재 나라별로 조금씩 다른데 아시아에서는 과체중이 25 이상, 비만이 30 이상이다.<BR><BR>&nbsp;&nbsp; 대한비만학회의 경우는 이보다 더 염격해 체질량지수가 23 이상이면 과체중, 25를 넘으면 비만, 30 이상은 고도비만으로 분류하고 있다.<BR><BR>&nbsp;&nbsp; 하지만, 이번 연구결과를 보면 아시아인 중에서도 특히 한국, 중국, 일본 사람들은 BMI가 22.6~27.5일 때 사망할 확률이 가장 낮았다. 이는 기존 기준치로 볼 때 비만에 해당하는 BMI 지수를 가진 사람일지라도 실제 사망 위험은 크지 않았다고 볼 수 있는 대목이다.<BR><BR>&nbsp;&nbsp; 반면에 BMI가 35 이상으로 초고도 비만에 해당하는 사람들의 사망 확률은 그렇지 않은 사람들에 비해 1.5배 높았다.<BR><BR>&nbsp;&nbsp; 이런 분석이 나온 것은 그동안 비만과 사망 위험의 상관성 분석에 인종 간 차이가 고려되지 않았기 때문이라는 게 연구팀의 설명이다.<BR><BR>&nbsp;&nbsp; 유근영 교수는 &#8220;비만이 당뇨병이나 심장병, 대장암, 전립선암 등의 서구형 암 위험을 높이는 것은 사실이지만 인종 간 차이를 고려할 때 그 기준치는 새롭게 정해져야 한다&#8221;면서 &#8220;특히 인도인이나 방글라데시인들은 비만한데도 사망 확률이 높아지지 않았다&#8221;고 설명했다.<BR><BR>&nbsp;&nbsp; 연구팀은 오히려 극심한 저체중과 사망의 연관성에 주목해야 한다고 강조했다.<BR><BR>&nbsp;&nbsp; 이 근거로 연구팀은 비만지수가 15 이하로 극심한 저체중의 경우 사망 확률이 체질량지수 22.6~25.0인 사람들에 비해 2.8배나 높았다는 분석결과를 제시했다.<BR><BR>&nbsp;&nbsp; 강대희 교수는 &#8220;최근 비만에 대한 논의가 상업적 측면과 과도하게 연계되면서 인종별 특성을 고려한 코호트 연구조차 없이 비만기준이 정립된 측면이 있다&#8221;면서 &#8220;이번 연구결과가 국내 비만기준을 새롭게 정립하는 데 도움이 될 수 있을 것&#8221;이라고 말했다.<BR><BR>&nbsp;&nbsp; <A href="mailto:bio@yna.co.kr"><FONT color=#252525>bio@yna.co.kr</FONT></A><BR><A href="http://blog.yonhapnews.co.kr/scoopkim" target=_blank><FONT color=#252525>http://blog.yonhapnews.co.kr/scoopkim</FONT></A><BR></DIV></p>
]]></content:encoded>
			<wfw:commentRss>http://www.chsc.or.kr/?post_type=reference&#038;p=2804/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>[돼지독감] &#8220;신종플루 사망ㆍ중환자 절반이 비만&#8221;</title>
		<link>http://www.chsc.or.kr/?post_type=reference&#038;p=2565</link>
		<comments>http://www.chsc.or.kr/?post_type=reference&#038;p=2565#comments</comments>
		<pubDate>Mon, 10 Jan 2011 12:57:50 +0000</pubDate>
		<dc:creator>건강과대안</dc:creator>
				<category><![CDATA[식품 · 의약품]]></category>
		<category><![CDATA[H1N1 바이러스]]></category>
		<category><![CDATA[고위험군]]></category>
		<category><![CDATA[돼지독감]]></category>
		<category><![CDATA[비만]]></category>
		<category><![CDATA[신종플루]]></category>
		<category><![CDATA[체질량지수(BMI)]]></category>

		<guid isPermaLink="false">http://www.chsc.or.kr/?post_type=reference&#038;p=2565</guid>
		<description><![CDATA[&#8220;신종플루 사망ㆍ중환자 절반이 비만&#8221;출처 : 연합뉴스&#160;2011.01.10 11:42(서울=연합뉴스) 하채림 기자 = 비만이 &#8216;신종인플루엔자&#8217;를 악화시키고 사망률을 높이는 것으로 나타났다.10일 외신에 따르면 미국 캘리포니아 공중보건국의 재니스 K. 루이가 이끄는 연구진은 캘리포니아주에서 [...]]]></description>
				<content:encoded><![CDATA[<p><H3>&#8220;신종플루 사망ㆍ중환자 절반이 비만&#8221;</H3><SPAN class=artical_date>출처 : 연합뉴스&nbsp;2011.01.10 11:42<BR><BR>(서울=연합뉴스) 하채림 기자 = 비만이 &#8216;신종인플루엔자&#8217;를 악화시키고 사망률을 높이는 것으로 나타났다.<BR><BR>10일 외신에 따르면 미국 캘리포니아 공중보건국의 재니스 K. 루이가 이끄는 연구진은 캘리포니아주에서 &#8216;신종플루&#8217; 즉 인플루엔자 H1N1으로 입원 또는 사망한 성인 가운데 50% 이상이 비만이었다고 의학 학술지 &#8216;임상 감염질환&#8217;(Clinical Infectious Diseases) 최근호에 발표했다.<BR><BR>연구진이 지난 2009~2010 시즌에 캘리포니아에서 중증 H1N1으로 입원 또는 사망한 성인 534명을 분석한 결과 72%가 고령 등 독감 고위험군으로 조사됐다.<BR><BR>특히 중환자의 51%가 체질량지수(BMI) 30이상의 비만으로 분류됐으며, 사망자 중에는 61%를 차지했다.<BR><BR>이번 연구에서 비만 고위험군은 H1N1 사망 위험이 일반인에 비해 2~3배 높은 것으로 분석됐다.<BR><BR>50세 이상 연령대는 43%로 절반에 못 미쳤다.<BR><BR>이에 따라 비만 성인은 백신 접종과 항바이러스제 투여에서 우선 대상이 돼야 한다고 연구진은 강조했다.<BR><BR>미국 학계와 보건당국은, BMI 25 이상을 비만으로 보는 한국과 달리 30 이상을 비만으로 간주한다.<BR><BR>한편 일각에서는 비만인 환자의 높은 사망률이 비타민D 섭취량이 적은 것과 연관이 있을 수 있다는 주장이 제기됐다.<BR><BR>미국 비타민D 협회(Viamin D Council)의 존 캐널 회장은 비타민D가 신종플루 예방에 효과가 있다는 연구 2건이 학계에 보고됐다고 전했다.<BR><BR>위스콘신의대 연구진은 고도 비만 환자의 84%가 비타민D 결핍 상태인 것으로 나타났다고 학술지 &#8216;외과연구저널&#8217;에 최근 발표했다.<BR><BR>tree@yna.co.kr<BR></SPAN></p>
]]></content:encoded>
			<wfw:commentRss>http://www.chsc.or.kr/?post_type=reference&#038;p=2565/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>[비만] 어린이 비만, 다른 심혈관계 위험 요인, 그리고 조숙 사망</title>
		<link>http://www.chsc.or.kr/?post_type=reference&#038;p=1794</link>
		<comments>http://www.chsc.or.kr/?post_type=reference&#038;p=1794#comments</comments>
		<pubDate>Thu, 11 Feb 2010 11:30:04 +0000</pubDate>
		<dc:creator>건강과대안</dc:creator>
				<category><![CDATA[식품 · 의약품]]></category>
		<category><![CDATA[고지혈증]]></category>
		<category><![CDATA[고혈압]]></category>
		<category><![CDATA[당 불내성(glucose tolerance)]]></category>
		<category><![CDATA[당뇨]]></category>
		<category><![CDATA[비만]]></category>
		<category><![CDATA[조숙 사망]]></category>
		<category><![CDATA[체질량지수(BMI)]]></category>
		<category><![CDATA[콜레스테롤]]></category>
		<category><![CDATA[혈압]]></category>

		<guid isPermaLink="false">http://www.chsc.or.kr/?post_type=reference&#038;p=1794</guid>
		<description><![CDATA[어린이 비만, 다른 심혈관계 위험 요인, 그리고 조숙 사망1945년~1985년에 태어난&#160;당뇨병이 없는 American Indian 어린이&#160; 4857명의 cohort&#160;&#160;연구결과가 NEJM 최신호에 발표되었습니다.체질량지수(BMI), 당 불내성(glucose tolerance), 혈압, 콜레스테롤 수치에 따른 내부적인 원인에 [...]]]></description>
				<content:encoded><![CDATA[<p><P>어린이 비만, 다른 심혈관계 위험 요인, 그리고 조숙 사망<BR><BR>1945년~1985년에 태어난&nbsp;당뇨병이 없는 American Indian 어린이&nbsp; 4857명의 cohort&nbsp;&nbsp;연구결과가 NEJM 최신호에 발표되었습니다.<BR><BR>체질량지수(BMI), 당 불내성(glucose tolerance), 혈압, 콜레스테롤 수치에 따른 내부적인 원인에 의한&nbsp;조숙사망을 예측하였습니다.<BR><BR>그 결과 체질량지수(BMI), 당 불내성(glucose tolerance), 혈압과 내부적인 원인에 의한 조숙사망률은 아주 강한 연관관계가 있다는 사실이 밝혀졌습니다.<BR><BR>반면 어린이의 고지혈증(hypercholesterolemia)은 내부적인 원인에 의한 조숙사망률과 상관관계가 없는 것으로 밝혀졌습니다.<BR><BR>논문의 전문은 아래 내용과 첨부파일을 참조하시기 바랍니다.<BR><BR>한편 호주 멜버른 모나시 대학의 폴 오브라이언 박사팀이 최근 미국의사협회저널에 실은 보고서에서 &#8220;비만인 경우 위밴드수술을 받는 것이 체중 감량에 더욱 크고 지속적인 효과를 나타내는 것으로 나타났다&#8221;고 주장했다는 뉴스를&nbsp;맨 아래에&nbsp;첨부합니다.<BR><BR>======================================</P><br />
<DIV align=center><B><FONT face="Arial, Helvetica, sans-serif" size=+2>Childhood Obesity, Other Cardiovascular Risk Factors, and Premature Death</FONT></B><BR></DIV><!-- AUTHOR_DISPLAY --><br />
<CENTER><FONT size=+1><I>Paul W. Franks, Ph.D., Robert L. Hanson, M.D., M.P.H., William C. Knowler, M.D., Dr.P.H., Maurice L. Sievers, M.D., Peter H. Bennett, M.B., F.R.C.P., and Helen C. Looker, M.B., B.S.</I></FONT></CENTER><br />
<P><BR><STRONG><FONT size=4>ABSTRACT</FONT></STRONG> </P><br />
<P><FONT face="arial, helvetica"><I>Background</I> The effect of childhood risk factors for cardiovascular<SUP> </SUP>disease on adult mortality is poorly understood.<SUP> </SUP><br />
<P><I>Methods</I> In a cohort of 4857 American Indian children without<SUP> </SUP>diabetes (mean age, 11.3 years; 12,659 examinations) who were<SUP> </SUP>born between 1945 and 1984, we assessed whether body-mass index<SUP> </SUP>(BMI), glucose tolerance, and blood pressure and cholesterol<SUP> </SUP>levels predicted premature death. Risk factors were standardized<SUP> </SUP>according to sex and age. Proportional-hazards models were used<SUP> </SUP>to assess whether each risk factor was associated with time<SUP> </SUP>to death occurring before 55 years of age. Models were adjusted<SUP> </SUP>for baseline age, sex, birth cohort, and Pima or Tohono O&#8217;odham<SUP> </SUP>Indian heritage.<SUP> </SUP><br />
<P><I>Results</I> There were 166 deaths from endogenous causes (3.4% of<SUP> </SUP>the cohort) during a median follow-up period of 23.9 years.<SUP> </SUP>Rates of death from endogenous causes among children in the<SUP> </SUP>highest quartile of BMI were more than double those among children<SUP> </SUP>in the lowest BMI quartile (incidence-rate ratio, 2.30; 95%<SUP> </SUP>confidence interval [CI], 1.46 to 3.62). Rates of death from<SUP> </SUP>endogenous causes among children in the highest quartile of<SUP> </SUP>glucose intolerance were 73% higher than those among children<SUP> </SUP>in the lowest quartile (incidence-rate ratio, 1.73; 95% CI,<SUP> </SUP>1.09 to 2.74). No significant associations were seen between<SUP> </SUP>rates of death from endogenous or external causes and childhood<SUP> </SUP>cholesterol levels or systolic or diastolic blood-pressure levels<SUP> </SUP>on a continuous scale, although childhood hypertension was significantly<SUP> </SUP>associated with premature death from endogenous causes (incidence-rate<SUP> </SUP>ratio, 1.57; 95% CI, 1.10 to 2.24).<SUP> </SUP><br />
<P><I>Conclusions</I> Obesity, glucose intolerance, and hypertension in<SUP> </SUP>childhood were strongly associated with increased rates of premature<SUP> </SUP>death from endogenous causes in this population. In contrast,<SUP> </SUP>childhood hypercholesterolemia was not a major predictor of<SUP> </SUP>premature death from endogenous causes.<SUP> </SUP><br />
<P><SUP></SUP><br />
<P></FONT><br />
<HR></p>
<p><P>Despite recent increases in life expectancy, the rising global<SUP> </SUP>prevalence of obesity may reverse this trend.<A href="http://content.nejm.org/cgi/content/full/362/6/485#R1"><SUP>1</SUP></A> The rising rates<SUP> </SUP>and increasingly early onset of other chronic diseases such<SUP> </SUP>as type 2 diabetes may also affect mortality rates.<A href="http://content.nejm.org/cgi/content/full/362/6/485#R2"><SUP>2</SUP></A><SUP> </SUP></P><br />
<P>Cardiovascular risk factors are common in children.<A href="http://content.nejm.org/cgi/content/full/362/6/485#R3"><SUP>3</SUP></A><SUP>,</SUP><A href="http://content.nejm.org/cgi/content/full/362/6/485#R4"><SUP>4</SUP></A> Although<SUP> </SUP>early-onset diabetes has been shown to raise mortality rates,<A href="http://content.nejm.org/cgi/content/full/362/6/485#R2"><SUP>2</SUP></A> and the relation between cardiovascular risk factors during<SUP> </SUP>adulthood and early death is well defined,<A href="http://content.nejm.org/cgi/content/full/362/6/485#R5"><SUP>5</SUP></A><SUP>,</SUP><A href="http://content.nejm.org/cgi/content/full/362/6/485#R6"><SUP>6</SUP></A><SUP>,</SUP><A href="http://content.nejm.org/cgi/content/full/362/6/485#R7"><SUP>7</SUP></A> little is known<SUP> </SUP>about the way in which cardiovascular risk factors that are<SUP> </SUP>present during childhood affect life span. Defining such relationships<SUP> </SUP>may help predict the long-term human and economic costs of cardiovascular<SUP> </SUP>risk factors in childhood and might justify interventions that<SUP> </SUP>are intended to improve health and reduce the rates of premature<SUP> </SUP>death.<SUP> </SUP><br />
<P>In this study, we assessed the extent to which obesity, glucose<SUP> </SUP>intolerance, hypertension, and hypercholesterolemia in children<SUP> </SUP>without diabetes predicted premature death (defined as death<SUP> </SUP>before 55 years of age) in American Indians from Arizona.<SUP> </SUP><br />
<P><FONT face="arial, helvetica" size=+1><STRONG>Methods</STRONG></FONT><br />
<P><STRONG>Study Population</STRONG><br />
<P>We invited residents in a well-defined geographic area of the<SUP> </SUP>Gila River Indian Community in Arizona, most of whom were Pima<SUP> </SUP>or Tohono O&#8217;odham Indians,<A href="http://content.nejm.org/cgi/content/full/362/6/485#R8"><SUP>8</SUP></A><SUP>,</SUP><A href="http://content.nejm.org/cgi/content/full/362/6/485#R9"><SUP>9</SUP></A> to participate in a longitudinal<SUP> </SUP>study of diabetes and related disorders. Pima or Tohono O&#8217;odham<SUP> </SUP>Indian heritage was defined by the heritage of each of the child&#8217;s<SUP> </SUP>parents, grandparents, and great-grandparents, as reported by<SUP> </SUP>the parents of the participating children. Included in the study<SUP> </SUP>were 4857 children and adolescents (5 to <20 years of age)<SUP> </SUP>who had at least 4/8 Pima or Tohono O&#8217;odham Indian heritage,<SUP> </SUP>did not have diabetes, and underwent one or more research examinations<SUP> </SUP>between February 1966 and December 2003. Participants were born<SUP> </SUP>between 1945 and 1984 and resided on the reservation during<SUP> </SUP>the study. Participants who were 18 years of age or older gave<SUP> </SUP>written informed consent; those younger than 18 years of age<SUP> </SUP>gave written assent and a parent or guardian gave written informed<SUP> </SUP>consent. The institutional review board of the National Institute<SUP> </SUP>of Diabetes and Digestive and Kidney Diseases approved the study.<SUP> </SUP><br />
<P><STRONG>Study Examinations</STRONG><br />
<P>We assessed the extent to which childhood body-mass index (BMI),<SUP> </SUP>2-hour plasma glucose level during a 75-g oral glucose-tolerance<SUP> </SUP>test, and blood pressure and total cholesterol levels predicted<SUP> </SUP>premature death. The baseline examination was the first examination<SUP> </SUP>at which all these variables were measured. The analyses included<SUP> </SUP>data from the date of the baseline examination until the person&#8217;s<SUP> </SUP>death, the person&#8217;s 55th birthday, or the end of 2003, whichever<SUP> </SUP>came first. Vital status was ascertained as of December 31,<SUP> </SUP>2003. Death records for community residents were maintained<SUP> </SUP>throughout the study period. Copies of death certificates were<SUP> </SUP>obtained. The underlying cause of death was classified as endogenous<SUP> </SUP>or external. We defined deaths due to endogenous causes as those<SUP> </SUP>in which the proximate cause was disease or self-inflicted injury,<SUP> </SUP>such as acute alcohol intoxication or drug use, and deaths due<SUP> </SUP>to external causes as those that resulted from such causes as<SUP> </SUP>accidents or homicide. These definitions are consistent with<SUP> </SUP>those used in previous mortality studies undertaken in this<SUP> </SUP>cohort.<A href="http://content.nejm.org/cgi/content/full/362/6/485#R10"><SUP>10</SUP></A> The cause of death was determined from a review of<SUP> </SUP>available clinical autopsy records and death certificates. (For<SUP> </SUP>a list of the specific causes of death and the corresponding<SUP> </SUP><I>International Classification of Diseases, 9th Revision</I> [ICD-9]<SUP> </SUP>codes, see the <A href="http://content.nejm.org/cgi/content/full/362/6/485/DC1">Supplementary Appendix</A>, available with the full<SUP> </SUP>text of this article at NEJM.org.)<SUP> </SUP><br />
<P>All participants underwent a 75-g oral glucose-tolerance test;<SUP> </SUP>results were interpreted according to World Health Organization<SUP> </SUP>diagnostic criteria.<A href="http://content.nejm.org/cgi/content/full/362/6/485#R11"><SUP>11</SUP></A> We considered diabetes to be present<SUP> </SUP>if the fasting plasma glucose concentration was more than 7.0<SUP> </SUP>mmol per liter (126 mg per deciliter), if the 2-hour plasma<SUP> </SUP>glucose concentration was 11.1 mmol per liter (200 mg per deciliter)<SUP> </SUP>or more, or if a previous clinical diagnosis was documented.<SUP> </SUP>Blood pressure was measured and standard anthropometric data<SUP> </SUP>were obtained while participants were wearing lightweight clothing<SUP> </SUP>and no shoes; the data were collected by trained study personnel.<A href="http://content.nejm.org/cgi/content/full/362/6/485#R8"><SUP>8</SUP></A><SUP>,</SUP><A href="http://content.nejm.org/cgi/content/full/362/6/485#R9"><SUP>9</SUP></A><SUP>,</SUP><A href="http://content.nejm.org/cgi/content/full/362/6/485#R12"><SUP>12</SUP></A> No measures of puberty were available. Blood assays were<SUP> </SUP>performed as described previously.<A href="http://content.nejm.org/cgi/content/full/362/6/485#R8"><SUP>8</SUP></A><SUP>,</SUP><A href="http://content.nejm.org/cgi/content/full/362/6/485#R9"><SUP>9</SUP></A><SUP>,</SUP><A href="http://content.nejm.org/cgi/content/full/362/6/485#R12"><SUP>12</SUP></A> Alcohol dependence<SUP> </SUP>in adulthood (for which data were available from 2672 of the<SUP> </SUP>participants) was estimated with the use of the CAGE questionnaire.<A href="http://content.nejm.org/cgi/content/full/362/6/485#R13"><SUP>13</SUP></A><SUP> </SUP><br />
<P><STRONG>Statistical Analysis</STRONG><br />
<P>Analyses were performed with the use of SAS software, version<SUP> </SUP>9.1 (SAS Institute). The characteristics of the participants<SUP> </SUP>are presented as arithmetic means (±SD) or, in the case<SUP> </SUP>of characteristics with skewed distributions, as medians and<SUP> </SUP>ranges. The z scores, which were standardized within sex and<SUP> </SUP>1-year age strata, were computed for use in regression analyses.<SUP> </SUP>Age-standardized and sex-standardized incidence was calculated<SUP> </SUP>by the direct method with the use of the total study population<SUP> </SUP>as the reference group. Incidence-rate ratios were calculated<SUP> </SUP>from the incidence data with the use of Poisson regression controlled<SUP> </SUP>for age, sex, and Pima or Tohono O&#8217;odham Indian heritage. For<SUP> </SUP>incidence analyses, follow-up was truncated at 55 years of age,<SUP> </SUP>since there were few person-years beyond that point. Cox proportional-hazards<SUP> </SUP>models were used to test for associations between the baseline<SUP> </SUP>childhood risk factors and time to death, with adjustment for<SUP> </SUP>baseline age, sex, Pima or Tohono O&#8217;odham Indian heritage, and<SUP> </SUP>birth year, since birth year was correlated with many variables<SUP> </SUP>of interest (e.g., r=0.36 for the correlation between BMI and<SUP> </SUP>birth year). We tested the validity of the proportionality assumption<SUP> </SUP>for each variable by including a time-dependent interaction<SUP> </SUP>term in the baseline models.<A href="http://content.nejm.org/cgi/content/full/362/6/485#R14"><SUP>14</SUP></A> When this assumption was violated,<SUP> </SUP>stratified proportional-hazards models were fitted and a summarized<SUP> </SUP>incidence-rate ratio was calculated across strata; no material<SUP> </SUP>differences in death rates were observed across sex and baseline-age<SUP> </SUP>strata (data not shown).<SUP> </SUP><br />
<P><FONT face="arial, helvetica" size=+1><STRONG>Results</STRONG></FONT><br />
<P><STRONG>Premature Death among Study Participants</STRONG><br />
<P><A href="http://content.nejm.org/cgi/content/full/362/6/485#T1">Table 1</A> shows the baseline characteristics of the participants.<SUP> </SUP>During the follow-up period, 559 of the 4857 participants (11.5%)<SUP> </SUP>died before they reached 55 years of age. A total of 166 deaths<SUP> </SUP>were from endogenous causes: 59 were attributed to alcoholic<SUP> </SUP>liver disease, 22 to cardiovascular disease, 21 to infections,<SUP> </SUP>12 to cancer, 10 to diabetes or diabetic nephropathy, 9 to acute<SUP> </SUP>alcoholic poisoning or drug overdose, and 33 to other causes<SUP> </SUP>(see the <A href="http://content.nejm.org/cgi/content/full/362/6/485/DC1">Supplementary Appendix</A> for a list of ICD-9 codes).<SUP> </SUP><A href="http://content.nejm.org/cgi/content/full/362/6/485#T2">Table 2</A> shows the rates of premature death by 10-year age strata.<SUP> </SUP><br />
<P><A name=T1><!-- null --></A><br />
<TABLE cellSpacing=0 cellPadding=0><br />
<TBODY><br />
<TR bgColor=#e8e8d1><br />
<TD><br />
<TABLE cellSpacing=2 cellPadding=2><br />
<TBODY><br />
<TR bgColor=#e8e8d1><br />
<TD vAlign=top align=middle bgColor=#ffffff><STRONG>View this table:</STRONG><BR><NOBR><A href="http://content.nejm.org/cgi/content/full/362/6/485/T1">[in this window]</A><BR><A _onmouseover="window.status='View figure in a separate window'; return true" _onclick="startTarget('T1', 722, 1500); this.href='/cgi/content-nw/full/362/6/485/T1'" href="http://content.nejm.org/cgi/content-nw/full/362/6/485/T1" target=T1>[in a new window]</A><BR><A href="http://content.nejm.org/cgi/powerpoint/362/6/485/T1"><IMG alt="Get Slide" src="http://content.nejm.org/icons/powerpoint/get_pp_slide_center.gif" vspace=8 border=0></A><BR>&nbsp;</NOBR> </TD><br />
<TD vAlign=top align=left><STRONG><B>Table 1.</B> </STRONG>Baseline Characteristics of the Participants and Prevalence of Death before 55 Years of Age.<br />
<P></P></TD></TR></TBODY></TABLE></TD></TR></TBODY></TABLE>&nbsp;<BR><A name=T2><!-- null --></A><br />
<TABLE cellSpacing=0 cellPadding=0><br />
<TBODY><br />
<TR bgColor=#e8e8d1><br />
<TD><br />
<TABLE cellSpacing=2 cellPadding=2><br />
<TBODY><br />
<TR bgColor=#e8e8d1><br />
<TD vAlign=top align=middle bgColor=#ffffff><STRONG>View this table:</STRONG><BR><NOBR><A href="http://content.nejm.org/cgi/content/full/362/6/485/T2">[in this window]</A><BR><A _onmouseover="window.status='View figure in a separate window'; return true" _onclick="startTarget('T2', 950, 533); this.href='/cgi/content-nw/full/362/6/485/T2'" href="http://content.nejm.org/cgi/content-nw/full/362/6/485/T2" target=T2>[in a new window]</A><BR><A href="http://content.nejm.org/cgi/powerpoint/362/6/485/T2"><IMG alt="Get Slide" src="http://content.nejm.org/icons/powerpoint/get_pp_slide_center.gif" vspace=8 border=0></A><BR>&nbsp;</NOBR> </TD><br />
<TD vAlign=top align=left><STRONG><B>Table 2.</B> </STRONG>Premature Death among Study Participants, According to Age at Study Entry.<br />
<P></P></TD></TR></TBODY></TABLE></TD></TR></TBODY></TABLE>&nbsp;<BR><STRONG>Childhood Obesity and Premature Death</STRONG><br />
<P>BMI was positively associated with the risk of premature death<SUP> </SUP>from endogenous causes (incidence-rate ratio per 1 unit of BMI<SUP> </SUP>z score, 1.40; 95% confidence interval [CI], 1.20 to 1.63).<SUP> </SUP>BMI was positively, but not significantly, associated with death<SUP> </SUP>from external causes (incidence-rate ratio per 1 SD of standardized<SUP> </SUP>BMI, 1.19; 95% CI, 1.00 to 1.42).<SUP> </SUP><br />
<P>Children in the highest quartile of age-standardized and sex-standardized<SUP> </SUP>BMI had significantly higher rates of death than did children<SUP> </SUP>in the lowest quartile (<A href="http://content.nejm.org/cgi/content/full/362/6/485#F1">Figure 1</A> and <A href="http://content.nejm.org/cgi/content/full/362/6/485#T3">Table 3</A>). The rates of<SUP> </SUP>death from endogenous causes among children in the highest quartile<SUP> </SUP>of BMI were more than double those among children in the lowest<SUP> </SUP>quartile (incidence-rate ratio, 2.30; 95% CI, 1.46 to 3.62)<SUP> </SUP>(<A href="http://content.nejm.org/cgi/content/full/362/6/485#T3">Table 3</A>). This finding could not be explained just by the presence<SUP> </SUP>of extremely obese children in the highest quartile, however,<SUP> </SUP>since none of the 51 extremely obese children (BMI z score >3)<SUP> </SUP>died during the follow-up period, possibly because these participants<SUP> </SUP>were younger and from more recent birth cohorts (median follow-up,<SUP> </SUP>21.4 years) than participants who were less obese. The association<SUP> </SUP>between BMI and premature death from endogenous causes was attenuated<SUP> </SUP>but remained significant after adjustment for baseline glucose<SUP> </SUP>level, cholesterol level, and blood pressure (incidence-rate<SUP> </SUP>ratio for the highest BMI quartile vs. the lowest quartile,<SUP> </SUP>1.41; 95% CI, 1.19 to 1.67) (<A href="http://content.nejm.org/cgi/content/full/362/6/485#T3">Table 3</A><B>)</B>.<SUP> </SUP><br />
<P><A name=F1><!-- null --></A><br />
<TABLE cellSpacing=0 cellPadding=0><br />
<TBODY><br />
<TR bgColor=#e8e8d1><br />
<TD><br />
<TABLE cellSpacing=2 cellPadding=2><br />
<TBODY><br />
<TR bgColor=#e8e8d1><br />
<TD vAlign=top align=middle bgColor=#ffffff><A href="http://content.nejm.org/cgi/content/full/362/6/485/F1"><IMG height=109 alt="Figure 1" hspace=10 src="http://content.nejm.org/content/vol362/issue6/images/small/06f1.gif" width=128 vspace=5 border=2></A><BR><STRONG>View larger version</STRONG> (36K):<BR><NOBR><A href="http://content.nejm.org/cgi/content/full/362/6/485/F1">[in this window]</A><BR><A _onmouseover="window.status='View figure in a separate window'; return true" _onclick="startTarget('F1', 590, 576); this.href='/cgi/content-nw/full/362/6/485/F1'" href="http://content.nejm.org/cgi/content-nw/full/362/6/485/F1" target=F1>[in a new window]</A><BR><A href="http://content.nejm.org/cgi/powerpoint/362/6/485/F1"><IMG alt="Get Slide" src="http://content.nejm.org/icons/powerpoint/get_pp_slide_center.gif" vspace=8 border=0></A><BR>&nbsp;</NOBR> </TD><br />
<TD vAlign=top align=left><STRONG><B>Figure 1.</B> </STRONG>Kaplan–Meier Curves for Premature Death.<br />
<P>The graphs show the rates of premature death from all causes, external causes, and endogenous causes according to quartiles of age-standardized and sex-standardized body-mass index at different baseline ages during childhood and adolescence. Plots were computed with the use of baseline data. Age at baseline for each age group was taken as the midpoint of the age range.<br />
<P></P></TD></TR></TBODY></TABLE></TD></TR></TBODY></TABLE>&nbsp;<BR><A name=T3><!-- null --></A><br />
<TABLE cellSpacing=0 cellPadding=0><br />
<TBODY><br />
<TR bgColor=#e8e8d1><br />
<TD><br />
<TABLE cellSpacing=2 cellPadding=2><br />
<TBODY><br />
<TR bgColor=#e8e8d1><br />
<TD vAlign=top align=middle bgColor=#ffffff><STRONG>View this table:</STRONG><BR><NOBR><A href="http://content.nejm.org/cgi/content/full/362/6/485/T3">[in this window]</A><BR><A _onmouseover="window.status='View figure in a separate window'; return true" _onclick="startTarget('T3', 950, 812); this.href='/cgi/content-nw/full/362/6/485/T3'" href="http://content.nejm.org/cgi/content-nw/full/362/6/485/T3" target=T3>[in a new window]</A><BR><A href="http://content.nejm.org/cgi/powerpoint/362/6/485/T3"><IMG alt="Get Slide" src="http://content.nejm.org/icons/powerpoint/get_pp_slide_center.gif" vspace=8 border=0></A><BR>&nbsp;</NOBR> </TD><br />
<TD vAlign=top align=left><STRONG><B>Table 3.</B> </STRONG>Incidence-Rate Ratios for Premature Death, According to Quartile of Variables.<br />
<P></P></TD></TR></TBODY></TABLE></TD></TR></TBODY></TABLE>&nbsp;<BR>A total of 1394 of the children (28.7%) were obese, which was<SUP> </SUP>defined as a BMI in the 95th percentile or higher on the Centers<SUP> </SUP>for Disease Control and Prevention (CDC) growth charts.<A href="http://content.nejm.org/cgi/content/full/362/6/485#R15"><SUP>15</SUP></A> Among<SUP> </SUP>the obese children as compared with the nonobese children, the<SUP> </SUP>incidence-rate ratios were 1.31 (95% CI, 1.10 to 1.57) for premature<SUP> </SUP>death from all causes, 1.90 (95% CI, 1.37 to 2.65) for death<SUP> </SUP>from endogenous causes, and 1.14 (95% CI, 0.92 to 1.41) for<SUP> </SUP>death from external causes.<SUP> </SUP><br />
<P><STRONG>Childhood Glucose, Cholesterol, and Blood-Pressure Levels and Premature Death</STRONG><br />
<P>The 2-hour plasma glucose level during a 75-g oral glucose-tolerance<SUP> </SUP>test, expressed in age-standardized and sex-standardized units,<SUP> </SUP>was not associated with premature death from either endogenous<SUP> </SUP>or external causes. However, children in the highest quartile<SUP> </SUP>of glucose level had a 73% higher risk of premature death from<SUP> </SUP>endogenous causes than children in the lowest quartile (<A href="http://content.nejm.org/cgi/content/full/362/6/485#T3">Table 3</A>). Adjustment for childhood BMI reduced the magnitude of the<SUP> </SUP>association (incidence-rate ratio, 1.24; 95% CI, 0.79 to 1.96).<SUP> </SUP><br />
<P>In models of impaired glucose tolerance (i.e., 2-hour glucose<SUP> </SUP>level of 7.8 to 11.0 mmol per liter [140 to 199 mg per deciliter])<A href="http://content.nejm.org/cgi/content/full/362/6/485#R18"><SUP>18</SUP></A> as compared with normal glucose tolerance as the predictor<SUP> </SUP>variable, the incidence-rate ratios were 0.90 (95% CI, 0.63<SUP> </SUP>to 1.30) for all-cause premature death, 0.81 (95% CI, 0.39 to<SUP> </SUP>1.65) for death from endogenous causes, and 0.94 (95% CI, 0.62<SUP> </SUP>to 1.43) for death from external causes. Children with impaired<SUP> </SUP>glucose tolerance accounted for 15% of the children in the highest<SUP> </SUP>quartile of plasma glucose levels and were all in the top decile<SUP> </SUP>of the standardized 2-hour glucose distribution.<SUP> </SUP><br />
<P>No significant associations were observed between death rates<SUP> </SUP>and childhood cholesterol levels or blood pressure (<A href="http://content.nejm.org/cgi/content/full/362/6/485#T3">Table 3</A>).<SUP> </SUP>In models in which hypercholesterolemia, as defined by the American<SUP> </SUP>Heart Association cutoff point (total cholesterol level, 5.18<SUP> </SUP>mmol per liter [200 mg per deciliter]), was used as the predictor<SUP> </SUP>variable,<A href="http://content.nejm.org/cgi/content/full/362/6/485#R17"><SUP>17</SUP></A> the incidence-rate ratios were 1.33 (95% CI, 0.95<SUP> </SUP>to 1.88) for all-cause premature death, 1.70 (95% CI, 0.96 to<SUP> </SUP>3.01) for death from endogenous causes, and 1.18 (95% CI, 0.77<SUP> </SUP>to 1.80) for death from external causes.<SUP> </SUP><br />
<P>With hypertension defined according to the criteria of the National<SUP> </SUP>High Blood Pressure Education Program<A href="http://content.nejm.org/cgi/content/full/362/6/485#R16"><SUP>16</SUP></A> in the case of children<SUP> </SUP>and as 140/90 mm Hg or higher in the case of participants 18<SUP> </SUP>years of age or older, there was no significant association<SUP> </SUP>with rates of death from all causes (incidence-rate ratio, 1.15;<SUP> </SUP>95% CI, 0.93 to 1.43) or from external causes (incidence-rate<SUP> </SUP>ratio, 0.98; 95% CI, 0.75 to 1.29). However, childhood hypertension<SUP> </SUP>was strongly associated with the rate of death from endogenous<SUP> </SUP>causes (incidence-rate ratio, 1.57; 95% CI, 1.10 to 2.24).<SUP> </SUP><br />
<P><STRONG>Potential Mediators of the Association between Obesity and Death</STRONG><br />
<P>Most deaths occurred in study participants who were not known<SUP> </SUP>to have diabetes. Of the 559 participants in whom diabetes developed,<SUP> </SUP>79 died: 40 from endogenous causes and 39 from external causes.<SUP> </SUP>Adjusting the BMI prediction models for incident diabetes did<SUP> </SUP>not significantly alter the risk estimates (incidence-rate ratio<SUP> </SUP>for the highest BMI quartile vs. the lowest quartile, 2.70;<SUP> </SUP>95% CI, 1.70 to 4.31). In contrast, inclusion of diabetes in<SUP> </SUP>the 2-hour glucose model reduced the risk estimate for the highest<SUP> </SUP>quartile of 2-hour glucose levels, and the association between<SUP> </SUP>the highest and lowest quartiles was not significant (incidence-rate<SUP> </SUP>ratio, 1.10; 95% CI, 0.72 to 1.68). In Cox proportional-hazards<SUP> </SUP>models that included 2672 participants, there were no significant<SUP> </SUP>associations between childhood BMI and alcohol dependency in<SUP> </SUP>adulthood (incidence-rate ratio per unit of BMI z score, 1.01;<SUP> </SUP>95% CI, 0.96 to 1.07).<SUP> </SUP><br />
<P><FONT face="arial, helvetica" size=+1><STRONG>Discussion</STRONG></FONT><br />
<P>It is well known that obesity, glucose intolerance, hypertension,<SUP> </SUP>and hypercholesterolemia in adulthood increase mortality rates.<SUP> </SUP>We conducted the present study to determine whether the presence<SUP> </SUP>of these risk factors in childhood predicts premature death.<SUP> </SUP>The rate of death from endogenous causes in the highest quartile<SUP> </SUP>of childhood BMI was more than double that in the lowest quartile,<SUP> </SUP>and the rate in the highest quartile of childhood two-hour plasma<SUP> </SUP>glucose levels during a 75-g oral glucose-tolerance test was<SUP> </SUP>73% higher than that in the lowest quartile. Although neither<SUP> </SUP>blood pressure nor cholesterol level in childhood, when included<SUP> </SUP>as a continuous variable, significantly predicted premature<SUP> </SUP>death, childhood hypertension increased the risk of premature<SUP> </SUP>death from endogenous causes by 57%.<SUP> </SUP><br />
<P>The absence of an association between premature death and cholesterol<SUP> </SUP>levels may be due partly to the low proportion of deaths due<SUP> </SUP>to cardiovascular disease in this cohort (13.3%). Treatment<SUP> </SUP>for any of the predictor traits during childhood or during adulthood<SUP> </SUP>did not appear to explain the pattern of association (data not<SUP> </SUP>shown). No childhood risk factor that was examined significantly<SUP> </SUP>predicted rates of premature death from external causes.<SUP> </SUP><br />
<P>Childhood obesity predicted premature death from endogenous,<SUP> </SUP>but not external, causes. The study was not powered to analyze<SUP> </SUP>effects on more specific categories of cause of death. Including<SUP> </SUP>only liver-related causes of death in the analysis reduced the<SUP> </SUP>magnitude of the association of premature death with childhood<SUP> </SUP>BMI and with the 2-hour glucose level, but the direction and<SUP> </SUP>pattern of associations were similar to those observed when<SUP> </SUP>all endogenous causes of death were included.<SUP> </SUP><br />
<P>We considered whether the relationship between childhood BMI<SUP> </SUP>and premature death reflects associations with adiposity or<SUP> </SUP>some other component of body mass. Our study began before the<SUP> </SUP>availability of modern adiposity measures such as dual-energy<SUP> </SUP>x-ray absorptiometry. However, we previously reported relationships<SUP> </SUP>between BMI and adipose mass and between adipose mass and the<SUP> </SUP>cardiovascular risk factors in this population<A href="http://content.nejm.org/cgi/content/full/362/6/485#R19"><SUP>19</SUP></A>; in that study,<SUP> </SUP>BMI and adiposity were strongly correlated (r>0.96), varying<SUP> </SUP>little with age and sex, and BMI and adipose mass were similarly<SUP> </SUP>correlated with the cardiovascular risk factors. Thus, the observations<SUP> </SUP>for childhood BMI reported here are likely to reflect a positive<SUP> </SUP>association between adiposity and rates of premature death.<SUP> </SUP><br />
<P>In a study involving 508 U.S. adolescents (13 to 18 years of<SUP> </SUP>age) who were born between 1922 and 1935, overweight (>75th<SUP> </SUP>percentile of the sample distribution) was associated with increased<SUP> </SUP>rates of death due to coronary heart disease.<A href="http://content.nejm.org/cgi/content/full/362/6/485#R20"><SUP>20</SUP></A> Two studies<SUP> </SUP>have assessed the relationship between body weight and mortality<SUP> </SUP>in European birth cohorts from the early 20th century.<A href="http://content.nejm.org/cgi/content/full/362/6/485#R21"><SUP>21</SUP></A><SUP>,</SUP><A href="http://content.nejm.org/cgi/content/full/362/6/485#R22"><SUP>22</SUP></A><SUP> </SUP>In a study of 2299 Welsh children born between 1937 and 1939,<SUP> </SUP>there was no association between childhood BMI and death from<SUP> </SUP>cardiovascular causes.<A href="http://content.nejm.org/cgi/content/full/362/6/485#R21"><SUP>21</SUP></A> However, there was an association between<SUP> </SUP>childhood BMI and death from all causes; the lowest rate of<SUP> </SUP>death was seen in the next-to-lowest BMI quartile and the highest<SUP> </SUP>rate of death in the highest quartile, suggesting that, as in<SUP> </SUP>the case of adult Pima Indians,<A href="http://content.nejm.org/cgi/content/full/362/6/485#R23"><SUP>23</SUP></A> a U-shaped relationship exists<SUP> </SUP>between obesity and mortality. In the second European study,<SUP> </SUP>involving 504 overweight children and adolescents admitted to<SUP> </SUP>hospitals in Stockholm between 1921 and 1947, weight gain between<SUP> </SUP>puberty and young adulthood was associated with cardiovascular<SUP> </SUP>disease, diabetes, and death from all causes.<A href="http://content.nejm.org/cgi/content/full/362/6/485#R22"><SUP>22</SUP></A> A limitation<SUP> </SUP>of these studies is that obesity was uncommon during the study<SUP> </SUP>period. For example, of the 2299 children in the Welsh study,<A href="http://content.nejm.org/cgi/content/full/362/6/485#R21"><SUP>21</SUP></A> only 92 (4.0%) had a BMI above the 90th percentile for the<SUP> </SUP>age-specific and sex-specific distributions of the 1990 British<SUP> </SUP>population, and British children in 1990 were leaner than their<SUP> </SUP>contemporary counterparts.<A href="http://content.nejm.org/cgi/content/full/362/6/485#R24"><SUP>24</SUP></A><SUP> </SUP><br />
<P>In the Arizona Pima Indians, unlike most other ethnic groups,<SUP> </SUP>childhood obesity has been common for decades.<A href="http://content.nejm.org/cgi/content/full/362/6/485#R25"><SUP>25</SUP></A> It has been<SUP> </SUP>estimated that at the turn of the 21st century, approximately<SUP> </SUP>15% of U.S. children between the ages of 6 and 19 years (11<SUP> </SUP>million children) were overweight or obese,<A href="http://content.nejm.org/cgi/content/full/362/6/485#R26"><SUP>26</SUP></A> a prevalence that<SUP> </SUP>is unlikely to decline in the near future<A href="http://content.nejm.org/cgi/content/full/362/6/485#R27"><SUP>27</SUP></A> and that is triple<SUP> </SUP>the prevalence among children of the same age in the 1960s.<A href="http://content.nejm.org/cgi/content/full/362/6/485#R28"><SUP>28</SUP></A><SUP>,</SUP><A href="http://content.nejm.org/cgi/content/full/362/6/485#R29"><SUP>29</SUP></A> In the present study, 1394 children (28.7%) were obese (BMI,<SUP> </SUP><IMG alt=≥ src="http://content.nejm.org/math/ge.gif" border=0>95th percentile on the 2000 CDC growth charts). This prevalence<SUP> </SUP>is similar to that observed in contemporary Hispanic and African-American<SUP> </SUP>children.<A href="http://content.nejm.org/cgi/content/full/362/6/485#R27"><SUP>27</SUP></A> Thus, although we studied a population with high<SUP> </SUP>rates of obesity and diabetes, our findings may reflect the<SUP> </SUP>future burden of premature death among contemporary children<SUP> </SUP>from other ethnic groups and may be more generalizable than<SUP> </SUP>the findings in previous studies.<SUP> </SUP><br />
<P>In this study, we compared mortality rates with several clinical<SUP> </SUP>risk factors as variables. Adjusting the obesity models for<SUP> </SUP>the development of diabetes in adulthood did not significantly<SUP> </SUP>alter the risk estimates, whereas adjusting the glucose models<SUP> </SUP>for subsequent diabetes did attenuate the association between<SUP> </SUP>childhood glucose levels and premature death. Hence, dysregulated<SUP> </SUP>glucose metabolism in childhood may be a mediator of the effects<SUP> </SUP>of childhood obesity on mortality rates, but it does not appear<SUP> </SUP>to be the sole or dominant factor; however, the association<SUP> </SUP>between childhood glucose intolerance and premature death does<SUP> </SUP>appear to be mediated by the development of subsequent diabetes.<SUP> </SUP><br />
<P>The pattern of the relationships between the risk factors and<SUP> </SUP>observed mortality supports the view that childhood obesity<SUP> </SUP>is an early metabolic derangement, whereas most of the other<SUP> </SUP>risk factors evolve later. In fact, the predictive power of<SUP> </SUP>a risk score for type 2 diabetes (including measures of obesity<SUP> </SUP>and insulin, blood-pressure, glucose, and lipid levels) in children<SUP> </SUP>is almost entirely dependent on abdominal obesity, whereas in<SUP> </SUP>adolescents, the risk profile has evolved to include obesity,<SUP> </SUP>hyperglycemia, and dyslipidemia.<A href="http://content.nejm.org/cgi/content/full/362/6/485#R30"><SUP>30</SUP></A> Our findings complement those<SUP> </SUP>in our previous study, which showed that type 2 diabetes, when<SUP> </SUP>it occurs during adolescence in this population, strongly predicts<SUP> </SUP>subsequent renal failure and death.<A href="http://content.nejm.org/cgi/content/full/362/6/485#R2"><SUP>2</SUP></A><SUP> </SUP><br />
<P>Although there was no significant association between childhood<SUP> </SUP>hypercholesterolemia and death before 55 years of age in this<SUP> </SUP>young cohort, an elevated cholesterol level in childhood may<SUP> </SUP>emerge as a significant risk factor and other causes of death<SUP> </SUP>may predominate if the cohort is followed to older ages. Cholesterol<SUP> </SUP>levels, however, are lower in American Indians than they are<SUP> </SUP>in most other ethnic groups,<A href="http://content.nejm.org/cgi/content/full/362/6/485#R31"><SUP>31</SUP></A> a finding that may partially<SUP> </SUP>explain the absence of association for this trait. The relationship<SUP> </SUP>between BMI and high-density lipoprotein (HDL) cholesterol is<SUP> </SUP>relatively strong in Pima children (r=–0.3 to –0.6),<SUP> </SUP>but the relationship between BMI and total cholesterol is weaker<SUP> </SUP>(r=0.1).<A href="http://content.nejm.org/cgi/content/full/362/6/485#R19"><SUP>19</SUP></A> The effect of BMI on premature death might be attributable<SUP> </SUP>in part to low HDL-cholesterol concentrations, which were not<SUP> </SUP>measured in most of the study participants. Nevertheless, we<SUP> </SUP>speculate that low HDL-cholesterol levels are likely to mediate<SUP> </SUP>rather than confound this relationship.<SUP> </SUP><br />
<P>It is possible that the relationship between childhood BMI and<SUP> </SUP>mortality is confounded by unmeasured lifestyle factors. Nevertheless,<SUP> </SUP>obesity can be both the cause and the consequence of adverse<SUP> </SUP>lifestyle factors such as physical inactivity, excessive caloric<SUP> </SUP>intake, and specific nutrient preferences. Thus, such factors<SUP> </SUP>may be important components of the causal pathway between obesity<SUP> </SUP>and death. It is also possible that genetic factors have pleiotropic<SUP> </SUP>effects on BMI and mortality.<SUP> </SUP><br />
<P>Childhood obesity is predictive of excess mortality in several<SUP> </SUP>divergent settings,<A href="http://content.nejm.org/cgi/content/full/362/6/485#R20"><SUP>20</SUP></A><SUP>,</SUP><A href="http://content.nejm.org/cgi/content/full/362/6/485#R21"><SUP>21</SUP></A><SUP>,</SUP><A href="http://content.nejm.org/cgi/content/full/362/6/485#R22"><SUP>22</SUP></A> indicating that obesity itself is<SUP> </SUP>causally related to either death or other commonly related factors.<SUP> </SUP>Even if preventing childhood obesity does not affect the risk<SUP> </SUP>of death, increased physical activity and modification of diet<SUP> </SUP>are likely to have long-term benefits. The lack of specific<SUP> </SUP>data on such factors is a limitation of this study.<SUP> </SUP><br />
<P>In summary, obesity in children who do not have diabetes is<SUP> </SUP>associated with an increased rate of death from endogenous causes<SUP> </SUP>during early adulthood, an association that may be partially<SUP> </SUP>mediated by the development of glucose intolerance and hypertension<SUP> </SUP>in childhood. In contrast, the cholesterol level in childhood<SUP> </SUP>is not a major determinant of premature death in this population.<SUP> </SUP>Childhood obesity is becoming increasingly prevalent around<SUP> </SUP>the globe. Our observations, combined with those of other investigators,<SUP> </SUP>suggest that failure to reverse this trend may have wide-reaching<SUP> </SUP>consequences for the quality of life and longevity. Such evidence<SUP> </SUP>underscores the importance of preventing obesity starting in<SUP> </SUP>the early years of life.<SUP> </SUP><br />
<P><SUP></SUP><br />
<P><SUP></SUP><br />
<P><FONT size=-1>Supported by the National Institute of Diabetes and Digestive<SUP> </SUP>and Kidney Diseases (NIDDK) intramural research program. Dr.<SUP> </SUP>Franks was supported in part by grants from the Swedish Diabetes<SUP> </SUP>Association, the Swedish Heart Lung Foundation, the Swedish<SUP> </SUP>Research Council, Umeå University (Career Development<SUP> </SUP>Award), and the Västerbotten regional health authority<SUP> </SUP>(Strategic Appointment 2006-09).<SUP> </SUP><br />
<P>No potential conflict of interest relevant to this article was<SUP> </SUP>reported.<SUP> </SUP><br />
<P>We thank members of the Gila River Indian Community for participating<SUP> </SUP>in this study and for the profound commitment this community<SUP> </SUP>has made over the past half century to studies that seek to<SUP> </SUP>further our understanding of human health and disease; the staff<SUP> </SUP>of the Diabetes Epidemiology and Clinical Research Section of<SUP> </SUP>the NIDDK for conducting the examinations; and Joy C. Bunt,<SUP> </SUP>M.D., Ph.D., for comments on the manuscript.<SUP> </SUP><br />
<P></FONT><FONT size=-1></FONT><BR><FONT face="arial, helvetica" size=+1><STRONG>Source Information</STRONG></FONT><FONT size=3> </FONT><br />
<P><FONT size=-1>From the Diabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ (P.W.F., R.L.H., W.C.K., M.L.S., P.H.B., H.C.L.); the Genetic Epidemiology and Clinical Research Group, Department of Public Health and Clinical Medicine, Section for Medicine, Umeå University Hospital, Umeå, Sweden (P.W.F.); the Medical Research Council Epidemiology Unit, Institute of Metabolic Sciences, University of Cambridge, Cambridge, United Kingdom (P.W.F.); and Mount Sinai School of Medicine, New York (H.C.L.). </FONT><br />
<P><FONT size=-1>Address reprint requests to Dr. Franks at the Genetic Epidemiology and Clinical Research Group, Department of Public Health and Clinical Medicine, Section for Medicine, Umeå University Hospital, Umeå 901 87, Sweden, or at <SPAN id=em0><A href="mailto:paul.franks@medicin.umu.se">paul.franks@medicin.umu.se</A></SPAN><br />
<SCRIPT type=text/javascript><!--<br />
 var u = "paul.franks", d = "medicin.umu.se"; document.getElementById("em0").innerHTML = '<a href="mailto:' + u + '@' + d + '">&#8216; + u + &#8216;@&#8217; + d + &#8216;<\/a>&#8216;//&#8211;></SCRIPT><br />
 .</FONT><br />
<P><FONT face="arial, helvetica" size=+1><STRONG>References</STRONG></FONT><br />
<P><br />
<OL compact><A name=R1><!-- null --></A><br />
<LI value=1>Olshansky SJ, Passaro DJ, Hershow RC, et al. A potential decline in life expectancy in the United States in the 21st century. N Engl J Med 2005;352:1138-1145.<!-- HIGHWIRE ID="362:6:485:1" -->&nbsp;<A href="http://content.nejm.org/cgi/ijlink?linkType=ABST&#038;journalCode=nejm&#038;resid=352/11/1138"><NOBR>[Free&nbsp;Full&nbsp;Text]</NOBR></A><!-- /HIGHWIRE --><A name=R2><!-- null --></A><br />
<LI value=2>Pavkov ME, Bennett PH, Knowler WC, Krakoff J, Sievers ML, Nelson RG. Effect of youth-onset type 2 diabetes mellitus on incidence of end-stage renal disease and mortality in young and middle-aged Pima Indians. JAMA 2006;296:421-426.<!-- HIGHWIRE ID="362:6:485:2" -->&nbsp;<A href="http://content.nejm.org/cgi/ijlink?linkType=ABST&#038;journalCode=jama&#038;resid=296/4/421"><NOBR>[Free&nbsp;Full&nbsp;Text]</NOBR></A><!-- /HIGHWIRE --><A name=R3><!-- null --></A><br />
<LI value=3>Fagot-Campagna A, Saaddine JB, Flegal KM, Beckles GL. Diabetes, impaired fasting glucose, and elevated HbA1c in U.S. adolescents: the Third National Health and Nutrition Examination Survey. Diabetes Care 2001;24:834-837.<!-- HIGHWIRE ID="362:6:485:3" -->&nbsp;<A href="http://content.nejm.org/cgi/ijlink?linkType=ABST&#038;journalCode=diacare&#038;resid=24/5/834"><NOBR>[Free&nbsp;Full&nbsp;Text]</NOBR></A><!-- /HIGHWIRE --><A name=R4><!-- null --></A><br />
<LI value=4>Andersen LB, Harro M, Sardinha LB, et al. Physical activity and clustered cardiovascular risk in children: a cross-sectional study (The European Youth Heart Study). Lancet 2006;368:299-304.<!-- HIGHWIRE ID="362:6:485:4" -->&nbsp;<A href="http://content.nejm.org/cgi/external_ref?access_num=10.1016%2FS0140-6736%2806%2969075-2&#038;link_type=DOI">[CrossRef]</A><A _onclick="ISIwin('ISI')" href="http://content.nejm.org/cgi/external_ref?access_num=16860699&#038;link_type=MED" target=ISI>[Medline]</A><!-- /HIGHWIRE --><A name=R5><!-- null --></A><br />
<LI value=5>Lakka HM, Laaksonen DE, Lakka TA, et al. The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men. JAMA 2002;288:2709-2716.<!-- HIGHWIRE ID="362:6:485:5" -->&nbsp;<A href="http://content.nejm.org/cgi/ijlink?linkType=ABST&#038;journalCode=jama&#038;resid=288/21/2709"><NOBR>[Free&nbsp;Full&nbsp;Text]</NOBR></A><!-- /HIGHWIRE --><A name=R6><!-- null --></A><br />
<LI value=6>Malik S, Wong ND, Franklin SS, et al. Impact of the metabolic syndrome on mortality from coronary heart disease, cardiovascular disease, and all causes in United States adults. Circulation 2004;110:1245-1250.<!-- HIGHWIRE ID="362:6:485:6" -->&nbsp;<A href="http://content.nejm.org/cgi/ijlink?linkType=ABST&#038;journalCode=circulationaha&#038;resid=110/10/1245"><NOBR>[Free&nbsp;Full&nbsp;Text]</NOBR></A><!-- /HIGHWIRE --><A name=R7><!-- null --></A><br />
<LI value=7>McTigue K, Larson JC, Valoski A, et al. Mortality and cardiac and vascular outcomes in extremely obese women. JAMA 2006;296:79-86.<!-- HIGHWIRE ID="362:6:485:7" -->&nbsp;<A href="http://content.nejm.org/cgi/ijlink?linkType=ABST&#038;journalCode=jama&#038;resid=296/1/79"><NOBR>[Free&nbsp;Full&nbsp;Text]</NOBR></A><!-- /HIGHWIRE --><A name=R8><!-- null --></A><br />
<LI value=8>Bennett PH, Burch TA, Miller M. Diabetes mellitus in American (Pima) Indians. Lancet 1971;2:125-128.<!-- HIGHWIRE ID="362:6:485:8" -->&nbsp;<A _onclick="ISIwin('ISI')" href="http://content.nejm.org/cgi/external_ref?access_num=A1971J796100005&#038;link_type=ISI" target=ISI>[Web of Science]</A><A _onclick="ISIwin('ISI')" href="http://content.nejm.org/cgi/external_ref?access_num=4104461&#038;link_type=MED" target=ISI>[Medline]</A><!-- /HIGHWIRE --><A name=R9><!-- null --></A><br />
<LI value=9>Knowler WC, Bennett PH, Hamman RF, Miller M. Diabetes incidence and prevalence in Pima Indians: a 19-fold greater incidence than in Rochester, Minnesota. Am J Epidemiol 1978;108:497-505.<!-- HIGHWIRE ID="362:6:485:9" -->&nbsp;<A href="http://content.nejm.org/cgi/ijlink?linkType=ABST&#038;journalCode=amjepid&#038;resid=108/6/497"><NOBR>[Free&nbsp;Full&nbsp;Text]</NOBR></A><!-- /HIGHWIRE --><A name=R10><!-- null --></A><br />
<LI value=10>Sievers ML, Nelson RG, Bennett PH. Adverse mortality experience of a southwestern American Indian community: overall death rates and underlying causes of death in Pima Indians. J Clin Epidemiol 1990;43:1231-1242.<!-- HIGHWIRE ID="362:6:485:10" -->&nbsp;<A href="http://content.nejm.org/cgi/external_ref?access_num=10.1016%2F0895-4356%2890%2990024-J&#038;link_type=DOI">[CrossRef]</A><A _onclick="ISIwin('ISI')" href="http://content.nejm.org/cgi/external_ref?access_num=A1990EK04600012&#038;link_type=ISI" target=ISI>[Web of Science]</A><A _onclick="ISIwin('ISI')" href="http://content.nejm.org/cgi/external_ref?access_num=2243258&#038;link_type=MED" target=ISI>[Medline]</A><!-- /HIGHWIRE --><A name=R11><!-- null --></A><br />
<LI value=11>Report of a WHO consultation: definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus. Geneva: World Health Organization, Department of Noncommunicable Disease Surveillance, 1999.<!-- HIGHWIRE ID="362:6:485:11" --><!-- /HIGHWIRE --><A name=R12><!-- null --></A><br />
<LI value=12>Franks PW, Looker HC, Kobes S, et al. Gestational glucose tolerance and risk of type 2 diabetes in young Pima Indian offspring. Diabetes 2006;55:460-465.<!-- HIGHWIRE ID="362:6:485:12" -->&nbsp;<A href="http://content.nejm.org/cgi/ijlink?linkType=ABST&#038;journalCode=diabetes&#038;resid=55/2/460"><NOBR>[Free&nbsp;Full&nbsp;Text]</NOBR></A><!-- /HIGHWIRE --><A name=R13><!-- null --></A><br />
<LI value=13>Ewing JA. Detecting alcoholism: the CAGE questionnaire. JAMA 1984;252:1905-1907.<!-- HIGHWIRE ID="362:6:485:13" -->&nbsp;<A href="http://content.nejm.org/cgi/ijlink?linkType=ABST&#038;journalCode=jama&#038;resid=252/14/1905"><NOBR>[Free&nbsp;Full&nbsp;Text]</NOBR></A><!-- /HIGHWIRE --><A name=R14><!-- null --></A><br />
<LI value=14>Prentice RL, Kalbfleisch JD. Hazard rate models with covariates. Biometrics 1979;35:25-39.<!-- HIGHWIRE ID="362:6:485:14" -->&nbsp;<A href="http://content.nejm.org/cgi/external_ref?access_num=10.2307%2F2529934&#038;link_type=DOI">[CrossRef]</A><A _onclick="ISIwin('ISI')" href="http://content.nejm.org/cgi/external_ref?access_num=A1979GN09700003&#038;link_type=ISI" target=ISI>[Web of Science]</A><A _onclick="ISIwin('ISI')" href="http://content.nejm.org/cgi/external_ref?access_num=497336&#038;link_type=MED" target=ISI>[Medline]</A><!-- /HIGHWIRE --><A name=R15><!-- null --></A><br />
<LI value=15>Center for Disease Control and Prevention. CDC growth charts. Washington, DC: National Center for Health Statistics, 2000 (publication no. 314).<!-- HIGHWIRE ID="362:6:485:15" --><!-- /HIGHWIRE --><A name=R16><!-- null --></A><br />
<LI value=16>The Fourth Report on the Diagnosis, Evaluation, and Treatment of High Blood Pressure in Children and Adolescents. Pediatrics 2004;114:555-576.<!-- HIGHWIRE ID="362:6:485:16" -->&nbsp;<A href="http://content.nejm.org/cgi/ijlink?linkType=FULL&#038;journalCode=pediatrics&#038;resid=114/2/S2/555"><NOBR>[Free&nbsp;Full&nbsp;Text]</NOBR></A><!-- /HIGHWIRE --><A name=R17><!-- null --></A><br />
<LI value=17>Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III): final report. Circulation 2002;106:3143-3421.<!-- HIGHWIRE ID="362:6:485:17" -->&nbsp;<A href="http://content.nejm.org/cgi/ijlink?linkType=FULL&#038;journalCode=circulationaha&#038;resid=106/25/3143"><NOBR>[Free&nbsp;Full&nbsp;Text]</NOBR></A><!-- /HIGHWIRE --><A name=R18><!-- null --></A><br />
<LI value=18>American Diabetes Association: clinical practice recommendations 2002. Diabetes Care 2002;25:Suppl:S1-S147.<!-- HIGHWIRE ID="362:6:485:18" -->&nbsp;<A href="http://content.nejm.org/cgi/external_ref?access_num=10.2337%2Fdiacare.25.2007.S1&#038;link_type=DOI">[CrossRef]</A><A _onclick="ISIwin('ISI')" href="http://content.nejm.org/cgi/external_ref?access_num=11788484&#038;link_type=MED" target=ISI>[Medline]</A><!-- /HIGHWIRE --><A name=R19><!-- null --></A><br />
<LI value=19>Lindsay RS, Hanson RL, Roumain J, Ravussin E, Knowler WC, Tataranni PA. Body mass index as a measure of adiposity in children and adolescents: relationship to adiposity by dual energy x-ray absorptiometry and to cardiovascular risk factors. J Clin Endocrinol Metab 2001;86:4061-4067.<!-- HIGHWIRE ID="362:6:485:19" -->&nbsp;<A href="http://content.nejm.org/cgi/ijlink?linkType=ABST&#038;journalCode=jcem&#038;resid=86/9/4061"><NOBR>[Free&nbsp;Full&nbsp;Text]</NOBR></A><!-- /HIGHWIRE --><A name=R20><!-- null --></A><br />
<LI value=20>Must A, Jacques PF, Dallal GE, Bajema CJ, Dietz WH. Long-term morbidity and mortality of overweight adolescents: a follow-up of the Harvard Growth Study of 1922 to 1935. N Engl J Med 1992;327:1350-1355.<!-- HIGHWIRE ID="362:6:485:20" -->&nbsp;<A href="http://content.nejm.org/cgi/ijlink?linkType=ABST&#038;journalCode=nejm&#038;resid=327/19/1350">[Abstract]</A><!-- /HIGHWIRE --><A name=R21><!-- null --></A><br />
<LI value=21>Gunnell DJ, Frankel SJ, Nanchahal K, Peters TJ, Davey Smith G. Childhood obesity and adult cardiovascular mortality: a 57-y follow-up study based on the Boyd Orr cohort. Am J Clin Nutr 1998;67:1111-1118.<!-- HIGHWIRE ID="362:6:485:21" -->&nbsp;<A href="http://content.nejm.org/cgi/ijlink?linkType=ABST&#038;journalCode=ajcn&#038;resid=67/6/1111">[Abstract]</A><!-- /HIGHWIRE --><A name=R22><!-- null --></A><br />
<LI value=22>DiPietro L, Mossberg HO, Stunkard AJ. A 40-year history of overweight children in Stockholm: life-time overweight, morbidity, and mortality. Int J Obes Relat Metab Disord 1994;18:585-590.<!-- HIGHWIRE ID="362:6:485:22" -->&nbsp;<A _onclick="ISIwin('ISI')" href="http://content.nejm.org/cgi/external_ref?access_num=A1994PD53400001&#038;link_type=ISI" target=ISI>[Web of Science]</A><A _onclick="ISIwin('ISI')" href="http://content.nejm.org/cgi/external_ref?access_num=7812410&#038;link_type=MED" target=ISI>[Medline]</A><!-- /HIGHWIRE --><A name=R23><!-- null --></A><br />
<LI value=23>Hanson RL, McCance DR, Jacobsson LT, et al. The U-shaped association between body mass index and mortality: relationship with weight gain in a Native American population. J Clin Epidemiol 1995;48:903-916.<!-- HIGHWIRE ID="362:6:485:23" -->&nbsp;<A href="http://content.nejm.org/cgi/external_ref?access_num=10.1016%2F0895-4356%2894%2900217-E&#038;link_type=DOI">[CrossRef]</A><A _onclick="ISIwin('ISI')" href="http://content.nejm.org/cgi/external_ref?access_num=A1995RE35800008&#038;link_type=ISI" target=ISI>[Web of Science]</A><A _onclick="ISIwin('ISI')" href="http://content.nejm.org/cgi/external_ref?access_num=7782799&#038;link_type=MED" target=ISI>[Medline]</A><!-- /HIGHWIRE --><A name=R24><!-- null --></A><br />
<LI value=24>Annual report of the Chief Medical Officer 2002. London: Department of Health, 2002.<!-- HIGHWIRE ID="362:6:485:24" --><!-- /HIGHWIRE --><A name=R25><!-- null --></A><br />
<LI value=25>Pettitt DJ, Baird HR, Aleck KA, Bennett PH, Knowler WC. Excessive obesity in offspring of Pima Indian women with diabetes during pregnancy. N Engl J Med 1983;308:242-245.<!-- HIGHWIRE ID="362:6:485:25" -->&nbsp;<A href="http://content.nejm.org/cgi/ijlink?linkType=ABST&#038;journalCode=nejm&#038;resid=308/5/242">[Abstract]</A><!-- /HIGHWIRE --><A name=R26><!-- null --></A><br />
<LI value=26>Child health USA 2004. Rockville, MD: Department of Health and Human Services, 2004.<!-- HIGHWIRE ID="362:6:485:26" --><!-- /HIGHWIRE --><A name=R27><!-- null --></A><br />
<LI value=27>Ogden CL, Carroll MD, Flegal KM. High body mass index for age among US children and adolescents, 2003-2006. JAMA 2008;299:2401-2405.<!-- HIGHWIRE ID="362:6:485:27" -->&nbsp;<A href="http://content.nejm.org/cgi/ijlink?linkType=ABST&#038;journalCode=jama&#038;resid=299/20/2401"><NOBR>[Free&nbsp;Full&nbsp;Text]</NOBR></A><!-- /HIGHWIRE --><A name=R28><!-- null --></A><br />
<LI value=28>Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of overweight and obesity in the United States, 1999-2004. JAMA 2006;295:1549-1555.<!-- HIGHWIRE ID="362:6:485:28" -->&nbsp;<A href="http://content.nejm.org/cgi/ijlink?linkType=ABST&#038;journalCode=jama&#038;resid=295/13/1549"><NOBR>[Free&nbsp;Full&nbsp;Text]</NOBR></A><!-- /HIGHWIRE --><A name=R29><!-- null --></A><br />
<LI value=29>Hedley AA, Ogden CL, Johnson CL, Carroll MD, Curtin LR, Flegal KM. Prevalence of overweight and obesity among US children, adolescents, and adults, 1999-2002. JAMA 2004;291:2847-2850.<!-- HIGHWIRE ID="362:6:485:29" -->&nbsp;<A href="http://content.nejm.org/cgi/ijlink?linkType=ABST&#038;journalCode=jama&#038;resid=291/23/2847"><NOBR>[Free&nbsp;Full&nbsp;Text]</NOBR></A><!-- /HIGHWIRE --><A name=R30><!-- null --></A><br />
<LI value=30>Franks PW, Hanson RL, Knowler WC, et al. Childhood predictors of young-onset type 2 diabetes. Diabetes 2007;56:2964-2972.<!-- HIGHWIRE ID="362:6:485:30" -->&nbsp;<A href="http://content.nejm.org/cgi/ijlink?linkType=ABST&#038;journalCode=diabetes&#038;resid=56/12/2964"><NOBR>[Free&nbsp;Full&nbsp;Text]</NOBR></A><!-- /HIGHWIRE --><A name=R31><!-- null --></A><br />
<LI value=31>Howard BV, Davis MP, Pettitt DJ, Knowler WC, Bennett PH. Plasma and lipoprotein cholesterol and triglyceride concentrations in the Pima Indians: distributions differing from those of Caucasians. Circulation 1983;68:714-724.<!-- HIGHWIRE ID="362:6:485:31" -->&nbsp;<A href="http://content.nejm.org/cgi/ijlink?linkType=ABST&#038;journalCode=circulationaha&#038;resid=68/4/714"><NOBR>[Free&nbsp;Full&nbsp;Text]</NOBR></A></LI></OL><br />
<P>===================================<BR><BR>10대 비만, 식이요법·운동보다 수술이 효과적&#8221;</P><br />
<P>출처 : 뉴시스 | 이진례 | 입력 2010.02.10 15:20 </P><br />
<P><BR>【시카고=로이터/뉴시스】이진례 기자 = 식욕을 억제하기 위해 위밴드수술을 받은 10대 과체중자들이 식이요법과 운동을 병행하는 10대 과체중자들보다 더욱 건강한 생활을 한다는 연구 결과가 나와 주목되고 있다. </P><br />
<P>호주 멜버른 모나시 대학의 폴 오브라이언 박사와 그의 동료들은 9일(현지시각) 미국의사협회저널에 실은 보고서에서 &#8220;연구 결과, 비만인 경우 위밴드수술을 받는 것이 체중 감량에 더욱 크고 지속적인 효과를 나타내는 것으로 나타났다&#8221;며 이와 같이 주장했다. </P><br />
<P><BR>이들이 14세 이상~18세 이하 청소년 50명을 대상으로 실시한 결과, 위밴드수술을 받은 과체중 청소년 25명 가운데 21명은 자신의 초과 체중의 절반 이상을 뺐으나 식이요법과 운동, 행동수정프로그램을 실시한 또 다른 25명 가운데서는 단 3명만이 초과 체중의 절반 이상을 감소하는 데 성공했다. </P><br />
<P>또한 위밴드수술을 받은 지 2년이 지난 청소년들의 경우 총 신체 체중의 28.3%가 감소한 것으로 나타났는데, 이는 초과 체중의 78.8%에 해당하는 수준이다. </P><br />
<P>그러나 식이요법과 운동을 병행한 청소년의 경우 총 신체 체중의 3%만이 감소한 것으로 나타났는데, 이는 초과 체중의 13.2%에 해당하는 것이다. </P><br />
<P>아울러 위밴드수술은 비만과 더불어 신진대사증후군과 고혈압, 콜레스테롤 및 혈당 조절에 도움을 주는 것으로 나타났다. </P><br />
<P>이 연구팀이 연구를 시작할 당시 위밴드수술을 받은 청소년들 가운데 36%, 식이요법과 운동을 병행한 청소년의 40%가 신진대사증후군을 겪고 있었는데, 2년 후 위밴드수술을 받은 청소년 가운데서 신진대사증후군을 앓는 이는 한 명도 없었다. 그러나 위밴드수술을 받지 않은 청소년 가운데 22%는 여전히 신진대사증후군을 앓고 있었다. </P><br />
<P>텍사스 사우스웨스턴 의료대학의 교수이자 미국의사협회저널의 편집자인 에드워드 리빙스톤 박사는 논평을 통해 &#8220;이번 연구결과는 젊은이들을 위한 비만을 치료하는데 비만 치료 수술을 이용하는 것과 관련한 구체적인 증거를 제공해 준다&#8221;고 밝혔다. </P><br />
<P>이어 그는 &#8220;비만을 치료하기 위해 수술을 받는 것에 대한 논쟁으로, 비만 치료 수술을 지지하는 증거의 질이 조악한 상태&#8221;라며 &#8220;미국의 많은 보험사들이 비만 치료 수술을 위해서는 보험금을 지급하지 않을 것이고, 이러한 결정은 이들 지지자들의 설득력이 부족하고 일반적으로 받아들여질 수 있는 증거에 기인한 것이다&#8221;고 밝혔다. </P><br />
<P>현재 미국 어린이의 약 3분의 1이 비만을 겪고 있는 가운데, 버락 오바마 미국 대통령은 현 세대에서 해결해야할 최우선 과제 가운데 하나로 어린이 비만을 꼽고 있다. </P><br />
<P>그 동안 성인 비만과 관련된 비만 수술에 대한 안정성 및 효과에 대한 연구는 많았으나, 어린이와 10대 비만을 위한 체중감량 수술의 안전성 및 효과에 대한 연구는 부족했다. </P><br />
<P><A href="mailto:eeka232@newsis.com">eeka232@newsis.com</A> <BR><BR></P><!-- /HIGHWIRE --><!-- TEXT --></p>
]]></content:encoded>
			<wfw:commentRss>http://www.chsc.or.kr/?post_type=reference&#038;p=1794/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
	</channel>
</rss>
