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Travel Behavior and Reduced The Impact of Driving and <br /> Physical Activity Walking on Obesity <br /> • US average=73 mins/day of driving B0 <br /> • 25%of all trips are one mile or less, <br /> but 75%of these trips are made by <br /> .e. <br /> car Every additional 30 minutes <br /> e: Automobile Trips spent dnving per day translates <br /> • Children between the ages of 5-15 W ° <br /> into a /o 3 increase in the odds of <br /> walk/bike 40%decrease since 1977 o ion 1910 1000 im x being obesity <br /> • For school trips one mile or less, , Every additional Kilometer(6 <br /> only 31%are made by walking �� miles)walked translates into <br /> ° nearly a 5%reduction to the odds <br /> • In the US,6%of tnps are byof being obese <br /> walking/btking.In contrast,Italy is r Wa/k and Bike <br /> 54%;Sweden,49%. a Trips F—k1 M,-i&h.KT.e.�,e—WPw x„�IM Phr�-1o.d,we,..e <br /> ion IBES Im ,BB5 nn rwm.m� <br /> The Effect of Mixed Use onO. e The Impact of Land Use on Health and <br /> s Behavior <br /> _ + ®Minutes Walked <br /> • Participants were divided into - 80 <br /> four groups based on the level Urban Sprawl <br /> of land use mix <br /> • so, AM <br /> Each quartile increase to land >Large effect on <br /> use mix was associated with a utilitarian walking 40 <br /> 12 20%reduction in the odds of ° D May even reduce <br /> • <br /> being <br /> difference m weight for an leisure time walking 30 <br /> average 5'to••wnitemeleain >Increases BMI 20 <br /> the lowest quartile of mored use n Increases in BP 10 <br /> and the highest quartile of <br /> mixed use was 10 pounds 0 <br /> i..eP..i �.•,v. agePe� <br /> L=W-W ed.ia T.eEOy R-W WIO.0 mftDWM rb�fift ui rl Spmkci d0.4.LLe� <br /> i.moa <br /> Sprawl Is Associated with More , <br /> i d1dings <br /> Health Problems Designing <br /> 1600 <br /> If the average person spent only <br /> 1500One 1110re minute per day going <br /> 1 <br /> 1400 -' -in extraupstairs,they would burn, <br /> per year,or.8 pokinds. <br /> 1300 t <br /> kcal <br /> -For only 2 minutes per dav, <br /> 1200 <br /> Low Average High <br /> Sprawl Sprawl <br /> N Number of chronic conditions per 100,000 persons <br /> 6 <br />