Другая сторона медали. Современная история допинга. Мадс Дранге

в British Journal of Sports Medicine о генетической предрасположенности и тренировках. Tucker R., Collins M. «What makes champions? A review of the relative contribution of genes and training to sporting success.» British Journal of Sports Medicine, 2012; 46: 555–56.

      26

      Из статьи немецкого физиолога Арндта Крюгера о развитии теории тренировок.

      Kruger, A. «Training Theory and Why Roger Bannister was the First Four-Minute Miler». Sport in History, 2006: 26, 305–324.

      27

      Больше о развитии спортивной физиологии в первой главе книги Exercise Physiology. Energy, Nutrition and Human Performance

      28

      Научная статья о технике одновременного хода в Scandinavian Journal of Medicine and Science in Sport. Rud B., Secher N. H., Nilsson J., Smith G., Hallén J. Metabolic and mechanicalinvolvement of arms and legs in simulated double pole skiing. Scandinavian Journal of Medicine and Science in Sports. 2013.

      29

      McDonagh M.J., Davies C.T. «Adaptive response of mammalian skeletal muscle to exercise with high loads.» European Journal of Applied Physiology and Occupationally Physiology. 1984; 52 (2): 139–55.

      30

      Truls Raastad, Per Egil Refsnes, Gøran Paulsen, Bent Rønnestad, Alexander R. Wisnes. Styrketrening i teori og praksis. Aschehaug, 2010.

      31

      Более подробно о физиологической адаптации в работе Fysiologisk adaptasjon til utholdenhetstrening профессора Юстейна Халлена Норвежской академии спорта.

/9j/4AAQSkZJRgABAQEASABIAAD/2wBDAAYEBAUEBAYFBQUGBgYHCQ4JCQgICRINDQoOFRIWFhUSFBQXGiEcFxgfGRQUHScdHyIjJSUlFhwpLCgkKyEkJST/2wBDAQYGBgkICREJCREkGBQYJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCT/wgARCAPAAoADASIAAhEBAxEB/8QAHAABAAIDAQEBAAAAAAAAAAAAAAUGAwQHAgEI/8QAGgEBAAMBAQEAAAAAAAAAAAAAAAEDBAIFBv/aAAwDAQACEAMQAAAB6oAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADQhtXkGrP2lxZbx2nY4dYeZ7hhzR+LTDuLN2XtO5wr4n9IuKdny31zZoFQ0U/o1HSOPQr0lwG+vtFl5X1Tia5i5ZE6ae0uLOo7RZvzh+ic9uzHyHKa+7NY/z30PRV04ZNArcxNwfG9fZm7S4s6jtFm/OP6Hz27QouAAAAAAAAAAAAAAAAAApfIuqcr9DH2uT+yWLTwrKb8vcI+Qj/O2fn7o/OOpb8drpvRoHHq4Z17kPU9ma1cF/R3KqLXVfzl3OYpdAzXC+ro0ieds4JIR8r6WPqaTedsjJH0hrfn7pXMd2bYde4tZx+jMtIu/n63F+0cTurhOyck713xoUPp/OqrOZfoj87/oi6vaGPSAAAAAAAAAAAAAAAAABy/n89h9LF3PKebt4ePSxdwj5CP8AO2fn6ahZf1MEtATchVZTO7685mvaG+os/Omzdudepi9985x1nJcGbRwSVipX0cXZh5218+1eeeWb9aeni75xyGcdTndfzd3Cmyw064st/wCb9258+9LFM6dnjI6rv6I/O/6Ips2hj0gAAAAAAAAAAAAAAAAOddF4dfTX5iOkt2ayK2q71G3E28dbsdB6Bg1fnvqdF6JpquowagNKizfLNVExWpHp11U1Jnn6wTwSV+SW/H1UYNjjXWOKaKMXWoa+JrnyyKe/zxapWpbs3dYne5fj00yzR/ZdVEhzrotEy3co/RHD+4317IyaAAAAAAAAAAAAAAAAAHDu41m2qhdjgJ5P1DanHVk/P/coK2uF6LFZeO5BHOJkUcTIo+QgCSI0uubIj5DmQSYdVEgj0pBjyRIAxmRAeeubCw5uegDT8I3wkw6iJFiypANPSmJl8+xIAAAAAAAAAAAAA8kbx/HG78mB1mZOH371kielfnr9DVKi3jbsPM9eeKS/Sjln6DqlpyaI/kOGL0U4HV5s4dc97nvfP6Lzco6vg1VTjPZuM6850yY6jkPSqtWeo/SCM1vO1xvKNaZ9DLBu0+uJ451GkV3uP0irFn8/XxyEm4X0MffR522rcX7Rxfdk7VZ6xZ8mgRPHXLat9yerh7HaeM9m8/WFVgAAAAAAAAAAACuWOmd8ch6bzLtG3NaR5+wABw3uXDdNHvt/EO3it2Sl02ci6dzHtO3NaB5+xxrsvNrqud/of86d+urh+M9m4z3z2yy8i36LZzkElraqOxVDpfI811V79wr9D9chk06f5/8A0ZwTXnmexcN7lx1xyv2Co68/ZHG1ffSObltfarPWLP52xy7pX5+tr99D0ui98/nrvfB77Zz08YNYAAAAAAAAAAACAn/kx+b+i12v+li/Rzmkzh1XLHyHX657U8e6LnDe5cN00e+38Q7eICf+Z7vzf0SArnpYv0e5jOYdVy4lu07RTn/Q3OelVWVTjPZuM31b2XrNlr64v0mfU2uXdRiuZ4H3XiOzuzfoFQ/eLTZ+BykZszXHrkHOY9HHIKdhd2btKUedro/Ju0cX3Zu1WesWfHoonKZr3uywn3qiJ5Ts9B5pZz+i81HvHm7A56AAAAAAAAAAAA0+UdjWcfnDz+idbRTwfonQvdfYZ7nD+4LOOJdtAK+9TlfX1nH5w8/ovU0U8H6D0X3X359Ge6q8a/R6+mt2QptCJArvKu7ravza/Q3m+vifU7OpsCm3jsN3topDPdV+Mfo9fTWfdjVd/nDr1xW8hRa4X3RZxwzufz6BX2AAAAAAAAAAAMZkfnPf1Ud9a+xlvNbhVtffn5z/AEUekXweY/Rj85reP0Y/OY/RiHmMl5znnV9X6LfnRZz+i35zu/E9VGe8aKNz7+c5vVR3IZdABXeLXVfot+dFvH6LfnSe5ntpT89twfnPt9vE6aNNm8/Ps3pp7OM14AAAAAAAAAAAAAADHkxn5yNr1/Ou/UPzh1jFphKB62dVGp+j/wA4fo/PdGcD77wKYuNhxXWvunrhkr6+bhVZzXnN/oXo5OmOhMej86XKo27bm6yPN2ucdE4Bop0fl5quzN2Of5H1zBrCqyucR7ZxPdkv0jY5+i7gO578a8/cqdcadg1cf7pwvumvPO8cuHI+O/NngpzTT2seXuAAAAAAAAAAAAAAAY8mM/OPReddK9HFTIntvFiXst0p1VnPP0f+cP0eRvAu+8CmC+2rvnjFpv25X3PDHp5BWdmQ9LF2webt/O9wp9w9HF1gedtp3H7HXvRxdzqNRw196H6A/PfS5joww66lxvqfK/Qx94mtLdwa+IePfj0cfcqdcadg1cf7NxmX35dO71PutXfEdnW2bOO1jztoAAAAAAAAAAAAAADHkxn5x6VzXpXo4ukV6wvP2OY9O5jbXzz9H/nD9H3VxvAu+8BmOhW3iLvntziLmf0RVpLi9NutdqS25e1uKKLc9iqy+rv+vXoPDroturX6C0U8zdSZruEa3VONa8/6O0ILmuXRnjtHp2vP0Mebt4h49+PRxdyp1xp2HVx/156B6OO32I8zdwvZ1tn0Mfax520AAAAAAAAAAAAAAB8+iJ2txMBEtPcIiZX6McbLCKSqYivksMP59/RHJ76vnQ4e3c9RSVVdwnCf0byXVTbZ7Xm89sdInHQJ8xcsRpaE4lDzBAEx3ySTDX2ETEyOUgExv2RTARIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADx7pvN+OMm7XT6VXtcPvWYNpz9zo6A1aj3mvCgysW2lWolF7c6vDndQVZddDVjcmubVSxzzsKDeY6yqF440dAYKl3muj5TJi6K/twlVf2yVU2K41dHRGpZmsTnyvV0EXeaAAAAAAAAAAAAAAAAAAA510Wv17pHf5rZ+e7HRfezFst5g/h5ibJXa983Hz9Qmudk4zBNdkrefLPFassNZONFKuXn31VS5Oe2ebaXa65b5ir+vUvHXir9GoM8TUH0Ggk/FSuWa65b4WVNeMibhHdfxe56LNimyMY66mNfzQAAAAAAAAAAAAAAAAAAAEVGWhxo09w6ogPs85vQU6mutSckjulbk5n50QVh9O8mCv2c6jve8c6W6TxCzRHUJgsSLfMPNJqQs0I/LtiPy7Yg/k6WQ+KdHiImjgOqwAAAAAAAAAAAAAAAAAAFastCr23Ste6VVv6pC5qz3RlsktimmlrRXa983oydd6z47dsc9TbIzxIR1D3WKhJ43bVzeZThuPJug82QuD1uxbMTFYs9/jqjbua8adqZmaZzpvNN+WGaoC6QMefNPT6TzfSrLRrbPGXzDV2Or1H+IFPTankqk19Ep9lh55xSlhhOqq1aIaEq39PGr58AAAAAAAAAAAAABQ75CV7KdJ2zTr2Y6h0PQ6q++oOzdVatct2hE5ab0aCT7qEzZ+bql9+ZudHvBntPeXmsnMT3NvOujQcj1n5xJ2rY51RNnjZK7y9fmtrhqfUsVUmq1xdP7dmrFuLDlyWZzzXpdfsM8cztvmT5u5ded3dd1uCvGnE7FH6jXpqzRNl1eqpblnU4FOWj2Xa41WIaPFAAAAAAAAAAAAAAAAAAAAAjdrYR2E8AAAAYfuVEtXaATAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADR3qJ1zctTm9dvq756gqpTZ0hBUuXUVYrh0pCzVfWlGQuhdXfdyixUT09QZjmbMoG5K5qhihdFD+yvaj3jmQ56AAAAAAAAAAAAAAAAAAAAAAAAAAUO+aPXNViOlaffNNgupRvXNPxzst1FMkZSRidyS1tnPbyaax2LTTV42dw9RF7F98V9ctkb3tdOUzN++Q2+O9njq+qJ06KlYkOOwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD55R7efp9CQAAAAAAAAAAAAB8PrH7PoAAAAAAAAAAAAAABGR1JqJqVeh0ZDzFuAJ4ANas2U29BTnPWnzPpPEdeO5WnjnQ78t7zVTbx67Ex5M+4EgAAAAAAAAPkHgLIjJMVazcuOkeKdkL5ob/Oi5bFV2C2tevloVKwG6AAAAAAAeT01dqJHmYxfK1o0WXCHrkFF0Q3rxx625YvNYv8W3q9Jq9xXaxG2KjMkf9B8xI9p5L1jz9vqgdE1s9vIPfS9TThqG1NZ9GKWq1p41T6XR5rkPTeubQ8+vO9EJAAAAADWNlo7py/7GxRdrvx3sx74p27SRwy5WydTl4x2eoooe9H31O1V7Nyg6Z7531AsbWjyZYsoAAAA8+q/HejWYPzj+plepcUvHfmWaRhLDd5ENpWdZzWVmELJ50NWjdCwJ5/6nqVVfF6zZp9u56tnm9nzmjKCASABi5x0uPnjj1gtmrbXsbcVnz6LLmhIm/NcWvsVXgkAB8++DFz21c9LvI8/mi1Ujpor1hAAAADHR74Khb3wo0pzrbLzZeZ9NPoAAAEBP6/PXFd6+THOurWrd9d4/n0mAAAAPOvtCsa9u+x38+k8AAAAAeXojz9+jn0JduY+j597vNNtma7MM+sAfD55++DR4v2/CcP6XNzZ6AAAAAAABzSpd38zFelNGPibFuc/thKAAxQWjEVen0Jy/qk5vosygAAAAAAAAAAAAAAAadD6NBzxJblVsNdmy+feoCTx78HnnN45AXyX5xvnVwAAAAAAAAAc4r1w5eif6DzXsydwDx7jInmH2P94/pb1dNbZ1fPh3SAAAAAAAAAAAAAAAA8exV807krnz7fOo+sf3ifbx6mNbiPd9DtwW/WiwGQSAAAAAAAAA8xctoGDNAZS0eoCfGlnx8xQ7FO5In2OwAAAAAAAAAAAAAAB51Ms7viNweRbL5a9ObeceSna3tY79G5NLz9Pn1S/Hzmu8ZqFMTN0j8lZ2VW3bhNyed959e7SHQAAAAAAA8Q3HE5UY6YKtgrWbvvolqitQrUlU/WDy7JBRcPa6NcuEddv02w1+tWwrMpXXJPPq20AAAAAAAAAAAIacDYKT5F2WMkZV3Xb/AINr0s/JdPPqfReJ0+cipvyPVidaf+VWVuS34GJnah8nq5qtg+1zxdNzkYWU205mDPtrC0AAAAArkRVuMlk988naafHWICzW7IPBV/dltmmuf3cgNDoPmOeS6vY8ExQuj4dmJ+1G2QHMUqQ8Q2PzrBLcmy3995z8q6rdsDq0AAAAAAABrZorx7PUhAyeC6Qw5vv0+XD69keMebxLnEJ02t6Mtx3dLdo0Bz34412HiBPbNW2Ds/1nPkFO1PBZM71XnPEtk3j39RmDoAAB51oCJyZYmndM8X91vpGzI92/MWZPXD8PUKKjV65W7UYY7FE193j1r7HUB1HnxlIjYaz+Ec2rPZIBzD9A4VOcZ+xNfY71gkAAAAAAeeWho4Nf4nd9tGnIfVZ/o20hJ59Y0VKkeo32vIt3SuedD83eGfT8oV+wo4tfMUumwo6RGnueTn81LU/xr7jIwk3p4D0KwAPkNK8e4zzv2ndJyYrRkyNvqBMtLdoZKeqbkOiZ65aEQVSvHJub+lZuQS+b2uzvPrX8+A8+hirll1Z54WtFYpx9OuXN+jrfot0gAAAAAMfv5Cp7s59rn19+erICQDBm04Vqs9B1+uNmW+fY6BKCndA5duQugXvoXOOjgHzDn88tbPEbPzt8kPpKAAKfzPonOqsm72WtW/u76OrRiMvNL9iRxbZu0gb0949p1uVdbokd87k/krk+i6bvYsuv5wJ5AePYr9H6lRqM2jfObdBozzI3eiAAAED4Pvz4Pvn5FeZ3MNLd0w+/PunkOnzzH0HRl6XWYKyczismjKUagmAAIWIuMaV/epW6dD2aBfxiy4uJhtrU3PidcmPuMYSAi4W3IjFlJkYjJRLLy06LG1vKdQy6+wAI6RFdkt2Aic81z2y1dzzFFWJpWbIn0OqkZJoQc4QDoAPJ6jflW403s+9ZvL15k+PhjipOL+b0bUlFyl3P378++5SjJDUmOSx0nH+z5m12Sm3nztv0UXgAAI2S+HGcXRYaEL1qLkpevNa3oR0nDWHxNG+PczgAeInFW8mW+5a9Yb79agTlBs7u1HybRD3W1ycPX0kAB81toimw3R4XjuvVmWrlHpbVs57YK/Y68hpbX8r7wZtbp8zcq9Z/Z6wq1ov8n68/Zq1+f9E5nT6elrRV6p9ToTHC7vlZfDyTJ6Pn9Yzcl6RRduw0zUvC9Gel6VcqO8vzz59ejW0orWpsxyUpLXceMp1AAAAAACCna3CuSNMyyte1QJA6FvUPfL3G6dVOgZ6humjAWLmubD0G7cJ7V11Hcr7fo3a+N9DnJRPoSAAAAA1oKzfIVaRmPPPdF2ZSP4n1hwa0qJ6u83Tvj7Vsa+jFCIP1Uxwd1lbIp1+z7HfELAauKOaKu3zZRVesRNtr6ash