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Course: PHARM 300, Fall 2011
School: Rutgers
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(II) 2009 - : : : Normal IGT Type 2 DM Complications Disability Death : : " " - () : . 30 . . . ....

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(II) 2009 - : : : Normal IGT Type 2 DM Complications Disability Death : : " " - () : . 30 . . . . . Kahn et al., Nature, 2006 : 40 30 % 20 10 0 l In di a ba nI nd ia Ur ba nF iji l n 52 00 al d l ra ba on i ze ra 19 20 Ru Ru po ga Ur iw Ta an re it i rn st e ad Sin Tr Ru ra Nauru New Guinea Australian Aborigines We Chinese Indian King, Diabetes Care, 1993; 1998; Diamond J, Nature, 2003 Ur Schulz et al., Diabetes Care, 2006 Franco et al., Am J Epidemiol, 2007 10 8 BMI Category -20 74 8.83% 1.37 1.42 5.03% 6 (Obese III (> 40 (Obese II (35-40 (Obese I (30 -35 (Overweight (25 -30 Normal / underweight ((<25 Total 4 2 0 0.4 0.56 1.05 1.5 1.57 1976-1980 2.26 2.5 1.28 1999-2004 Age and sex adjusted Year ( ) ( ) - 1971 74 20 2000 2800 60 Total Intake (kcals) 50 40 30 20 10 0 2600 2400 2200 % Carbs 2000 1800 1600 1400 1200 1000 1971-1974 1976-1980 1988-1994 1999-2000 % fats % saturated fats % protein Total Energy MMWR, 2004 ) ( ) ( Gross et al., Am J Clin Nutr, 2004 1996 - 1977 Sn a c k s M e a l s 80 75 70 65 60 55 50 197778 198991 199496 % Me a ls e a t e n a t h om e 1950 k c a l s /d a y 1800 1650 1500 197778 198991 199496 Nielsen and Popkin, JAMA, 2003 . 1996 - 1977 25 Food int ak e per oc c asion, oz 20 15 10 5 0 td rin Fr en ks ch F H am r ie bu s rg er s Pi zz a M ex ic an ts ks er ks 1 9 7 7 -7 8 1 9 8 9 -9 1 1 9 9 4 -9 8 ac ss sn De ft So dr lt y Nielsen and Popkin, JAMA, 2003 Sa Fr ui in 1. 2. 3. 4. 1. 2. 3. 4. 5. 6. Luckovich, Atlanta Journal Constitution Trends in Leisure-Time Physical Inactivity by Age, Sex, and Race/Ethnicity - United States, 1994-2004 Centers for Disease Control and Prevention, MMWR, 2005 (Ford ES et al. AJE 1997;146:214-22) BMI 1-y Risk (%) <22 0. 224 22-<23 0. 255 23-<24 0. 428 24-<25 0. 539 250. 553 <27 0. 899 27-<29 1.074 29-<31 1.480 31-<33 1.892 33-<35 2.461 35+ %- Point Increase per RR Absolute Increase 100,000 0 0 1 0.031 31 1.18 0.204 204 2.44 0.315 315 2.97 0.329 329 3.04 0.675 675 5.07 0.850 850 5.70 1.256 1,256 8.21 1.668 1,668 10.89 2.237 2,237 14.64 Cumulative 0 550 Increase 1,554 7,565 32 Vasquez, Epidemiol Rev, 2007 Hu et al., Arch Intern Med, 2001 Young Adult Adult Mid-aged Older Adult - Adolescent - 0 20 30 40 50 60 70 80 90 Lifestyle forming, habituation, and maintenance Obesity Diabetes CVD Physical Function Falls Fracture Stroke Cancers Quality of life / Mental health : Diabetes OR per 1kg Birth weight=0.78 ) ) A systematic review (Kim et al., Diabetes Care, 2002) Systematic Review of the Incidence of Diabetes Associated with Various Categories of Glycemia Number Regress to of normal studies (median %) Impaired Glucose Tolerance IGT Isolated IFG IFG Isolated 26 8% Progress Relative Risk of to Diabetes Diabetes (median %) 7% (7.8 4.9) 6.4 3 6 3 n/a 29% 13 n/a n/a 6% *5-20% (7.9 3.1) 5.5 (6.9 2.5) 4.7 7% (10.5 4.6) 7.5 10-15% ( 1-7% 4.3 *extremely variable;20 in ) 12.1 European pops; 23-34% in Asian pops. 3 IGT and IFG Gerstein et al., Diab Res Clin Pract, 2007 Serum Concentration ND Cases/n 25%> 2/643 25-50% 34/505 50-75% 53/527 75-90% 65/275 90-100% 246 / 63 Prevalenc e Adjusted OR Adjusted OR --- 0.4 Referent 6.7 14.9 0 .3) (65.0 Ref 10.1 14.7 (63.9 3.4) 1.1 (1.7 0.6) 23.6 38.2 (183.1 8.0) 2.7 (4.9 1.5) 25.6 37.7 7.8) (182.0 2.7 (4.8 1.5) --- 0.07 0.02) (0.33 Lee et al., Diab Care, 2007 Countylevel Estimates of Diagnosed Diabetes for Adults aged 20 years: United States 2005 : : : (II) () 50 40 30 Proportion of Participants Developing Diabetes During the Finnish and U.S. Diabetes Prevention Studies Finland United States 50 40 30 Control Control Metformin % 20 Lifestyle % 20 Lifestyle 10 0 10 0 1 2 3 Study Year 4 5 6 0 0 0.5 1 1.5 2 2.5 3 3.5 4 Study Year omilehto, N Engl J Med, 2001; DPP Research Group, N Engl J Med, 2002 Follow-up Da Qing, China, 1997 Finland, 2001 DPP, USA, 2002 Kosaka, Japan 2004 , IDPP India, 2006 6 3 3 4 3 Risk status Mean BMI IGT , IGT BMI > 25 IGT BMI > 24 IGT IGT 26 31 34 24 26 Net Weight change kg 1.8 kg 2.5kg 5.2kg 1.8kg 0.3Relative Risk 0.56 0.42 0.42 0.33 0.72 Pan et al., 1997; Tuomilehto et al., 2001, Knowler et al., 2002 Application of Risk Scores to Public Health Intervention Risk Score Diabetes incidence, % 100 90 80 70 60 50 40 30 20 10 0 Men Women 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Schwarz, Horm Metab Res, 2008
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Rutgers - PHARM - 300
Sntomas emocionales y prctica sexual de pacientes con diabetes mellitus tipo 2 y controles sanos M.C.M. Mara de Lourdes Garca Campos Facultad de Enfermera y Obstetricia de Celaya Universidad de Guanajuato Y Dra. Mara Raquel Huerta Franco Universidad de G
Rutgers - PHARM - 300
PhD Public Health, Suez Canal University, Egypt Diabetes MSc, Cardiff University, United Kingdom Dr. Rasha SalamaDiabetes mellitus (DM) is a group of diseases characterized by high levels of blood glucose resulting from defects in insulin production, in
Rutgers - PHARM - 300
Diabetes Self ManagementLaura WintersteenArleth, MN, RN,CDELearning Objectiveso Understand the impact of diabetes o Distinguish the different types of Diabetes o Identify treatment options for diabetes management o Identify methods of applying the Chro
Rutgers - PHARM - 300
Diabetic KetoacidosisAbdelaziz Elamin Professor of Pediatric Endocrinology University of Khartoum, SudanIntroductionDKA is a serious acute complications of Diabetes Mellitus. It carries significant risk of death and/or morbidity especially with delayed
Drexel - MUSIC - MUS130
Introduction to MusicMUSC 130 2:00-2:50 Nesbitt 111Instructor: Mr. Bruce Kaminsky. Office: MacAlister 2012.Phone (215) 895-2451 email: bk46@drexel.eduDescription: Course objectives: learn principal musical genres influencing western music from antiqu
Shanghai Normal University - ACC - 410
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Shanghai Normal University - ACC - 410
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Shanghai Normal University - ACC - 410
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Shanghai Normal University - ACC - 410
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Shanghai Normal University - ACC - 410
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Shanghai Normal University - ACC - 410
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Shanghai Normal University - ACC - 410
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Shanghai Normal University - ACC - 410
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Shanghai Normal University - ACC - 410
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Purdue University - Main Campus - ECON - 252
1.GDP is defined asa) the market value of all goods and services produced within a country in a given period of time.b) the market value of all goods and services produced by the citizens of a country, regardless ofwhere they are living, in a given pe
Purdue University - Main Campus - ECON - 252
1.The rate of inflation in the United States is 3 percent per year and the rate of inflation in Europe is 6percent per year. If purchasing power parity holds true the Euro price of the U.S. dollar will:a) increase 9 percent each year.c) fall 3 percent
Purdue University - Main Campus - ECON - 252
FIGURE1:TheCircularFlowDiagramHouseholds:Households Own the factors of production, Own the factors of production,sell/rent them to firms for incomesell/rent them to firms for income Buy and consume goods &amp; services Buy and consume goods &amp; services
Purdue University - Main Campus - ECON - 252
1.In an open economy:a) S = I + NCOb) S + T G = NXc) Y = C + I + Gd) None of the above are correct.2.Consider a country with a population of 2.7 million people. Its adult population is 1.6 million. Thelabor force participation rate is 72% and the
Purdue University - Main Campus - ECON - 252
1.In an open economy, gross domestic product equals $1,850 billion, consumption expenditure equals$975 billion, government expenditure equals $225 billion, investment equals $500 billion, and netexports equals $150 billion. What is national savings?a)
Purdue University - Main Campus - ECON - 252
1.In an open economy, gross domestic product equals $1,850 billion, consumption expenditure equals$975 billion, government expenditure equals $225 billion, investment equals $500 billion, and netexports equals $150 billion. What is national savings?a)
Purdue University - Main Campus - ECON - 252
1.The deep recession the United States experienced from 1979 to 1982 was caused by:a) increases in income tax rates.b) a real depreciation of the dollar in international currency markets.c) a tight money policy adopted by the FEDd) All of the above.
Purdue University - Main Campus - ECON - 252
1.We would expect the interest rate on Bond A to be higher than the interest rate on Bond B if the twobonds have identical characteristics except thata) the credit risk associated with Bond A is lower than the credit risk associated with Bond B.b) Bon
Purdue University - Main Campus - ECON - 252
In the countries of Ricardoville and Smithland two goods are produced: Wine and Cheese. Thehours of labor required to produce bottles of wine and pounds of cheese in these countries are shown in thetable below:RicardovilleSmithlandWINE(Hours/Bottle)
Purdue University - Main Campus - ECON - 252
Exam I Practice II (The KEY appears at the end of the exam.)Multiple ChoiceIdentify the choice that best completes the statement or answers the question._1. The adage, &quot;There is no such thing as a free lunch,&quot; is used to illustrate the principle that
Purdue University - Main Campus - ECON - 252
The Vertical Long-Run Phillips Curve1968: Milton Friedman and Edmund Phelps argued that the tradeoff was temporary.Natural-rate hypothesis: the claim that unemployment eventually returns to its normal or natural rate, regardless of the inflation rate
Purdue University - Main Campus - ECON - 252
13Open-EconomyMacroeconomics:Basic ConceptsInternational Flows of Goods &amp;Capital Closed economy Does not interact with other economies inthe world Open economy Interacts freely with other economiesaround the world2International Flows of Goods
Purdue University - Main Campus - ECON - 252
13Open-EconomyMacroeconomics:Basic Concepts1International flows of goods and capital: summaryTrade deficitExports &lt; ImportsNet Exports &lt; 0Y&lt;C+I+GSaving &lt; InvestmentNet Capital Outflow &lt; 0Balanced tradeTrade surplusExports = ImportsNet Expor
Purdue University - Main Campus - ECON - 252
Review ICheryl QiFIGURE 1: The Circular-Flow DiagramRevenueG&amp;SsoldMarkets forGoods &amp;ServicesFirmsFactors ofproductionWages, rent,profitSpendingG&amp;SboughtHouseholdsMarkets forFactors ofProductionLabor, land,capitalIncomeGross Domesti
Purdue University - Main Campus - MGMT - 305
Purdue University - Main Campus - MGMT - 305
Purdue University - Main Campus - MGMT - 305
Purdue University - Main Campus - MGMT - 305
Purdue University - Main Campus - MGMT - 305
Chapter 8Interval EstimationOutline: Interval Estimation of a Population MeanLarge Sample CaseSmall Sample Case Determining the Sample Size Interval Estimation of Population ProportionInterval Estimation of a Population Mean:Large-Sample CasePro
Purdue University - Main Campus - MGMT - 305
Chapter 9Hypothesis TestingOutline: Develop Null Hypothesis and Alternative Hypothesis Type I and Type II errors One-Tailed Tests about population mean: Large Sample Case Two-Tailed Tests about population mean: Large Sample Case Tests about populat
Purdue University - Main Campus - MGMT - 305
Chapter 10Statistical Inference about Means andProportions with Two PopulationsOutline: Estimation of the difference between means of twopopulations:1. Point estimator of the difference between themeans of the populations.2. Sampling distribution
Purdue University - Main Campus - MGMT - 305
Chapter 13Analysis of Variance and Experimental DesignOutline:An Introduction to Analysis of VarianceAnalysis of Variance: Testing for the Equality ofk Population MeansAnalysis of Variance (ANOVA) can be used to test for theequality of three or mor
Purdue University - Main Campus - MGMT - 305
Purdue University - Main Campus - MGMT - 305
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Purdue University - Main Campus - MGMT - 305
Chapter9HypothesisTestingssssssDevelopingNullandAlternativeHypothesesTypeIandTypeIIErrorsOneTailedTestsAboutaPopulationMean:LargeSampleCaseTwoTailedTestsAboutaPopulationMean:LargeSampleCaseTestsAboutaPopulationMean:SmallSampleCaseTestsAbou
Purdue University - Main Campus - MGMT - 305
Chapter10ComparisonsInvolvingMeansEstimationoftheDifferenceBetweentheMeansofTwoPopulations:IndependentSampless HypothesisTestsabouttheDifferencebetweentheMeansofTwoPopulations:IndependentSampless InferencesabouttheDifferencebetweentheMeansofTwoPopu
Purdue University - Main Campus - MGMT - 305
TSRQPONMLKJIHGFEDCBA12345678TSRQPONMLKJIHGFEDCBA9101112131415EE 129468/239 stations1 Very Large AV screenProjection BoothVideo Lectern Cabinet30 ChalkboardAudio Recording CapabilitiesVoice Ampl
Purdue University - Main Campus - MGMT - 305
Purdue University - Main Campus - MGMT - 305
Purdue University - Main Campus - MGMT - 305
Purdue University - Main Campus - MGMT - 305
Purdue University - Main Campus - MGMT - 305
Remember what I said in class when( n&gt;=30) sigma is unknown we use s to estimate sigma, As n increasesthere is no difference between s and sigma therefore we use z distribution. But using t distribution istechnically correct. Our book uses that.
Purdue University - Main Campus - MGMT - 305
Mgmt 305Homework 3Due: March 7, 2011Quiz: March 7, 20111. The National Association of Independent Colleges and Universities reported that studentsgraduating from public colleges and universities carry an average debt of $12,000 upongraduation (Kipli
Purdue University - Main Campus - MGMT - 305
HOMEWORK 4MGMT305Due Date April 18, 2011Quiz Date April 18,20111. Allied Corporation is trying to determine whether to purchase Machine A or B. It has leased the twomachines for a month. A random sample of 5 employees has been taken. These employees
Purdue University - Main Campus - MGMT - 305
HOMEWORK 4MGMT305Due Date April 18, 2011Quiz Date April 18, 20111.Allied Corporation is trying to determine whether to purchase Machine A or B. It has leased the twomachines for a month. A random sample of 5 employees has been taken. These employees
Purdue University - Main Campus - MGMT - 305
Mgmt 305Homework 5Due: April 27, 2011Quiz: April 27, 20111. In a manufacturing process the assembly line speed (feet per minute) was thought to affectthe number of defective parts found during the inspection process. To test this theory,managers dev
Purdue University - Main Campus - MGMT - 305
1.a.62.The Minitab output is shown below:The regression equation isDefects = 22.2 - 0.148 SpeedPredictorConstantSpeedCoef22.174-0.14783S = 1.489SE Coef1.6530.04391R-Sq = 73.9%T13.42-3.37P0.0000.028R-Sq(adj) = 67.4%Analysis of Varia
Purdue University - Main Campus - MGMT - 305
MGMT 305: Homework 2Due Date: February16, 2011Quiz2- Sampling Distribution, Interval DistributionChapter71. Business Week conducted a survey of graduates from 30 top MBA programs (Business Week,September 22, 2003). On the basis of the survey, assume
Purdue University - Main Campus - MGMT - 305
Chapter8IntervalEstimationssssIntervalEstimationofaPopulationMean:LargeSampleCaseIntervalEstimationofaPopulationMean:SmallSampleCaseDeterminingtheSampleSizeIntervalEstimationofaPopulationProportion[-xx -][- x -][- x -]Slide 1IntervalEst
Purdue University - Main Campus - MGMT - 305
AreaMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMainMain
Purdue University - Main Campus - MGMT - 305
SeatsforExaminCL50_x000D_Seatsfor248peopleNAMESECTIONAlKendiMariamSec.4AlkadhimAhmedSec.2AllenKaraSec.2AndersonAdrienneSec.1AtkinsonJenniferSec.2AvimuktaKreeyaSec.2BaledgeBradleySec.4BarbarichLukeSec.3BautersRobertSec.3BeachyKirkSec.
Purdue University - Main Campus - MGMT - 305
SeatsforExaminCL50_x000D_Seatsfor248peopleNAMESECTIONAndersonAdrienneSec.1LaRueWilliamSec.1WuFrankSec.1LeuChaoJiaSec.1ZhengChaoSec.1WangXueyunSec.1GarlandJohnSec.1DonahuePatrickSec.1VargyasSarahSec.1HarveyMonicaSec.1FortuneScottSec
Purdue University - Main Campus - MGMT - 305
Purdue University - Main Campus - MGMT - 305
Chapter8IntervalEstimationsssIntervalEstimationofaPopulationMean KnownCase LargeSample(n30) SmallSample(n&lt;30) UnknownCase LargeSample(n30) SmallSample(n&lt;30)xDeterminingtheSampleSizeIntervalEstimationofaPopulationProportion[- x -][- x -][-
Purdue University - Main Campus - MGMT - 305
Chapter9HypothesisTestingOverviewsssssDevelopingNullandAlternativeHypothesesTypeIandTypeIIErrorsKnown:TestsAboutaPopulationMean LargeSampleCase(n30) SmallSampleCase(n&lt;30)Unknown:TestsAboutaPopulationMean LargeSampleCase(n30) SmallSampleCase
Purdue University - Main Campus - MGMT - 305
Chapter10:HypothesisTestingIIComparisonofTwoPopulationMeansOverviews IndependentSamples Intervalestimationofthedifferencebetweenthemeansoftwopopulations Hypothesistestsaboutthedifferencebetweenthemeansoftwopopulationss MatchedSamples Inferencesab
Purdue University - Main Campus - MGMT - 305