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	<title>건강과 대안 &#187; 교육수준</title>
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	<description>연구공동체</description>
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		<title>사회 이동성 복원을 위한 교육정책의 방향(KDI)</title>
		<link>http://www.chsc.or.kr/?post_type=reference&#038;p=88668</link>
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		<pubDate>Thu, 30 Apr 2015 04:03:44 +0000</pubDate>
		<dc:creator>건강과대안</dc:creator>
				<category><![CDATA[노동 · 환경]]></category>
		<category><![CDATA[계층 대물림]]></category>
		<category><![CDATA[계층 이동성]]></category>
		<category><![CDATA[공공고용서비스]]></category>
		<category><![CDATA[교육수준]]></category>
		<category><![CDATA[사회적 배제]]></category>

		<guid isPermaLink="false">http://www.chsc.or.kr/?post_type=reference&#038;p=88668</guid>
		<description><![CDATA[사회 이동성 복원을 위한 교육정책의 방향 저자 김희삼 (金熙三) 발행일 2015/04/29 보고서 종류 KDI 포커스 시리즈 번호 통권 제54호 □ 세대 간 계층 이동성이 높았던 한국 사회에 상향 이동 가능성과 노력의 힘에 대한 [...]]]></description>
				<content:encoded><![CDATA[<ul>
<li><big>사회 이동성 복원을 위한 교육정책의 방향</big></li>
<li><strong>저자 </strong><a style="line-height: 1.714285714; font-size: 1rem;">김희삼</a><span style="line-height: 1.714285714; font-size: 1rem;"> (金熙三)</span></li>
<li><strong>발행일</strong> 2015/04/29</li>
<li><strong>보고서 종류</strong> KDI 포커스</li>
<li><strong>시리즈 번호</strong> 통권 제54호</li>
</ul>
<p>□ 세대 간 계층 이동성이 높았던 한국 사회에 상향 이동 가능성과 노력의 힘에 대한 부정적 인식이 확산되고 있다. 실제로 세대 간 계층 대물림이 강화되고 교육격차가 확대되면서 교육의 사다리 역할에 대한 회의론도 커지고 있다. 재능의 사장을 방지하기 위한 조기개입과 적극적 시정조치, 다양한 성공 경로를 추구할 역량을 기르기 위한 교육개혁, 불리한 배경을 가진 청년의 사회적 배제를 예방하기 위한 정책적 노력이 절실한 시기이다.</p>
<p>- 낮은 사회 이동성은 형평성과 함께 자원배분의 효율성과 성장을 저해</p>
<p>- 천부적인 인지능력은 성장과정에서 환경에 따라 다르게 발달</p>
<p>- 최근 세대 간 상향 이동에 대한 비관론이 확대되고 노력의 힘에 대한 믿음이 약화</p>
<p>- 명문대 진학률에서도 계층 및 지역 간 격차가 심화</p>
<p>- 현재 중년 세대의 소득은 부모의 영향이 크지 않았으나 소득불평등과 사교육 경쟁이 심화된 상황은 세대 간 계층 이동 가능성에 대한 우려를 제기</p>
<p>- 고속성장기에 약화됐던 세대 간 계층 대물림이 근간에 다시 강화되는 모습</p>
<p>- 계층 이동의 사다리로서 교육의 역할에 대한 평가도 과거에 높아졌다가 최근에 낮아지는 모습</p>
<p>- 조기개입과 함께 불리한 환경에 처해 있던 잠재력이 만개할 기회를 주기 위해 대입전형의 적극적 시정조치와 입학 후 지원을 확대할 필요</p>
<p>- 다양한 성공 경로를 모색할 역량을 기르는 교육 시스템의 변화, 특히 교육과정의 다양화와 교수법의 혁신이 필요</p>
<p>- 기초학력 보장과 취업능력 배양 및 공공고용서비스 확충은 불리한 배경을 가진 청년의 사회적 배제를 막고 인적자원 활용도를 높이는 길</p>
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		<title>[공중보건] 가난, 낮은 교육수준이 흡연과 비만보다 더 건강 위협</title>
		<link>http://www.chsc.or.kr/?post_type=reference&#038;p=1576</link>
		<comments>http://www.chsc.or.kr/?post_type=reference&#038;p=1576#comments</comments>
		<pubDate>Wed, 23 Dec 2009 13:48:18 +0000</pubDate>
		<dc:creator>건강과대안</dc:creator>
				<category><![CDATA[젠더 · 인권]]></category>
		<category><![CDATA[Epidemiology]]></category>
		<category><![CDATA[Health Burden]]></category>
		<category><![CDATA[Health Financing]]></category>
		<category><![CDATA[Health Policy]]></category>
		<category><![CDATA[Socioeconomic Factors]]></category>
		<category><![CDATA[가난]]></category>
		<category><![CDATA[공중보건]]></category>
		<category><![CDATA[교육수준]]></category>
		<category><![CDATA[비만]]></category>
		<category><![CDATA[흡연]]></category>

		<guid isPermaLink="false">http://www.chsc.or.kr/?post_type=reference&#038;p=1576</guid>
		<description><![CDATA[가난&#160;및&#160;낮은 수준의 교육은 흡연이나 비만만큼 건강을 해치므로&#160;대중들의 건강을 증진시키기 위해서는 비의료적 분야에 더 관심을 기울여야 한다는&#160;내용의 &#8220;미국공중보건학회지&#8221; 2009년 12월호 연구결과입니다.미국 컬럼비아대학 피터 뮤닝(Peter Muennig) 교수가&#160;이끈 연구팀은&#160;1997~2000년에 실시된 국립보건면접조사(National [...]]]></description>
				<content:encoded><![CDATA[<p><P><FONT size=1><FONT size=3>가난&nbsp;및&nbsp;낮은 수준의 교육은 흡연이나 비만만큼 건강을 해치므로&nbsp;대중들의 건강을 증진시키기 위해서는 비의료적 분야에 더 관심을 기울여야 한다는&nbsp;내용의 &#8220;미국공중보건학회지&#8221; 2009년 12월호 연구결과입니다.<BR><BR>미국 컬럼비아대학 피터 뮤닝(<FONT face=Verdana>Peter Muennig) 교수가</FONT>&nbsp;이끈 연구팀은&nbsp;1997~2000년에 실시된 국립보건면접조사(National<SUP> </SUP>Health Interview Surveys) , 1996~2002년 이뤄진 의료비지출패널조사(Medical Expenditure Panel Surveys) 자료를 토대로 가난, 낮은 수준의 교육, 흡연, 비만 등과 건강한 생활 사이의 관계를 분석했습니다.<BR><BR>연구 결과 항상 소득이 낮은 가난한&nbsp;사람은 그렇지 않은 사람보다&nbsp;건강을 유지하는 기간이 평균 8.2년 감소하였습니다. 지속적인 흡연자는 6.6년, 고등학교도 졸업하지 못한 사람은 5.1년, 만성 비만자는 그렇지 않은 사람보다 4.2년이 줄었습니다. 연구진은 가난함의 기준을 최저생계비의 200% 이하가 소득인 가구로 정했습니다. 참고로 &nbsp;2010년 한국의 최저생계비는 4인 가족 기준 136만 3천원입니다.</FONT><BR><BR><BR><STRONG>=====================================================<BR><BR>RESEARCH AND PRACTICE:<BR></STRONG></FONT><FONT face=verdana,arial,helvetica,sans-serif size=2>Peter Muennig, Kevin Fiscella, Daniel Tancredi, and Peter Franks<BR><BR><STRONG><FONT size=4>The Relative Health Burden of Selected Social and Behavioral Risk Factors in the United States: Implications for Policy</FONT><BR></STRONG><BR>출처 : Am J Public Health(<FONT face=Arial>American Journal of Public Health</FONT>), Dec 2009; doi:10.2105/AJPH.2009.165019 <BR></FONT><A href="http://ajph.aphapublications.org/cgi/content/abstract/AJPH.2009.165019v1?maxtoshow=&#038;HITS=10&#038;hits=10&#038;RESULTFORMAT=1&#038;author1=Muennig&#038;andorexacttitle=and&#038;andorexacttitleabs=and&#038;andorexactfulltext=and&#038;searchid=1&#038;FIRSTINDEX=0&#038;sortspec=relevance&#038;fdate=1/1/2009&#038;resourcetype=HWCIT">http://ajph.aphapublications.org/cgi/content/abstract/AJPH.2009.165019v1?maxtoshow=&#038;HITS=10&#038;hits=10&#038;RESULTFORMAT=1&#038;author1=Muennig&#038;andorexacttitle=and&#038;andorexacttitleabs=and&#038;andorexactfulltext=and&#038;searchid=1&#038;FIRSTINDEX=0&#038;sortspec=relevance&#038;fdate=1/1/2009&#038;resourcetype=HWCIT</A><BR><BR><FONT size=5>Abstract</FONT></P><br />
<P><br />
<P>Objectives. We sought to quantify the potential health impact<SUP> </SUP>of selected medical and nonmedical policy changes within the<SUP> </SUP>United States.</P><br />
<P>Methods. Using data from the 1997–2000 National<SUP> </SUP>Health Interview Surveys (linked to mortality data through 2002)<SUP> </SUP>and the 1996–2002 Medical Expenditure Panel Surveys, we<SUP> </SUP>calculated age-specific health-related quality-of-life scores<SUP> </SUP>and mortality probabilities for 8 social and behavioral risk<SUP> </SUP>factors. We then used Markov models to estimate the quality-adjusted<SUP> </SUP>life years lost.</P><br />
<P>Results. Ranked quality-adjusted life years<SUP> </SUP>lost were income less than 200% of the poverty line versus 200%<SUP> </SUP>or greater (464 million; 95% confidence interval [CI]=368, 564);<SUP> </SUP>current-smoker versus never-smoker (329 million; 95% CI=226,<SUP> </SUP>382); body mass index 30 or higher versus 20 to less than 25<SUP> </SUP>(205 million; 95% CI=159, 269); non-Hispanic Black versus non-Hispanic<SUP> </SUP>White (120 million; 95% CI=83, 163); and less than 12 years<SUP> </SUP>of school relative to 12 or more (74 million; 95% CI=52, 101).<SUP> </SUP>Binge drinking, overweight, and health insurance have relatively<SUP> </SUP>less influence on population health.</P><br />
<P>Conclusions. Poverty, smoking,<SUP> </SUP>and high-school dropouts impose the greatest burden of disease<SUP> </SUP>in the United States.</P><SUP></SUP><br />
<P><STRONG>Key Words:</STRONG> Epidemiology, Health Financing, Health Policy, Obesity, Overweight, Underweight, African Americans/Blacks, Socioeconomic Factors </P><br />
<P>===================================================<BR></P><br />
<H1 class=story id=headline>Poor Face Greater Health Burden Than Smokers or the Obese</H1><br />
<DIV id=story style="PADDING-BOTTOM: 10px"><br />
<P id=first><SPAN class=date>ScienceDaily (Dec. 23, 2009)</SPAN> — The average low-income person loses 8.2 years of perfect health, the average high school dropout loses 5.1 years, and the obese lose 4.2 years, according to researchers at Columbia University&#8217;s Mailman School of Public Health. Tobacco control has long been one of the most important public health policies, and rightly so; the average smoker loses 6.6 years of perfect health to their habit. But the nation&#8217;s huge high school dropout rate and poverty rates are typically not seen as health problems.</P><br />
<P>This new study published in the December 2009 issue of the <EM>American Journal of Public Health</EM>, shows that poverty and dropout rates are at least as important a health problem as smoking in the United States.</P><br />
<P>These researchers define &#8220;low-income&#8221; as household earnings below 200% of the Federal Poverty Line, or roughly the bottom third of the U.S. population.</P><br />
<P>On average, poverty showed the greatest impact on health. Smoking was second, followed by being a high school dropout, non-Hispanic Black, obese, a binge drinker, and uninsured. The findings are based on data from various national datasets that are designed to measure both health and life expectancy. Healthy life lost combines both health and life expectancy into a single number, sometimes known as quality-adjusted life years.</P><br />
<P>&#8220;While public health policy needs to continue its focus on risky health behaviors and obesity, it should redouble its efforts on non-medical factors, such as high school graduation and poverty reduction programs,&#8221; according to Peter Muennig, MD, assistant professor of health policy and management at the Mailman School of Public Health and principal investigator of the study. Specific policies that have proven successful in the past include reduced class size in grades K-3 and earned income tax credit programs, according to Dr. Muennig.</P><br />
<P>To analyze the medical and non-medical policies that might affect population health, the researchers examined such policy goals as smoking prevention, increased access to medical care, poverty reduction, and early childhood education to provide policymakers with a sense of how different policy priorities might influence population health.</P><br />
<P>Building on prior research, the researchers examined health disparities resulting from an individual&#8217;s membership in a socially identifiable and disadvantaged group compared with membership in a non-disadvantaged counterpart. Although public health policy has always been directed at individual social and behavioral risks, until now there had been little systematic investigation of their relative contribution to U.S. population health. The researchers were not able to capture all population health risks. For instance, they did not include an analysis of transportation policy, which can affect health through reduced accidents, reduced pollution, and increased exercise.</P><br />
<P>&#8220;The smaller impact of schooling in our analyses probably had a lot to do with the fact that we are only measuring the health of people in the general population. We miss those in prisons and chronic care facilities, most of whom lack a high school diploma. If we captured these individuals, the numbers would be higher.</P><br />
<P>&#8220;As with other burden of disease studies, the policies we identify will not eliminate the risk factor in the population; our estimates can only serve as guideposts for policymakers,&#8221; says Dr. Muennig.</P></DIV></p>
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