WPC 2 ZBn X&m P7&PBibliogrphy66WkBibliographyN=(Nrj *NxT$E Doc Init66WkInitialize Document Stylej *NxT$E    I. 1. A. a.(1)(a) i) a)DocumentҲa1DocumentE+N xTDocument StyleoN=(Nrj !*NF *  ׃  2qea2DocumentE+N xTDocument StyleoN=(Nrj !*N*    a3DocumentE+N xTDocument StyleoN=(Nrj !*N0     a4DocumentE+N xTDocument StyleoN=(Nrj !*N   . a5DocumentE+N xTDocument StyleoN=(Nrj !*N  2Ke p p ca6DocumentE+N xTDocument StyleoN=(Nrj !*N  a7DocumentE+N xTDocument StyleoN=(Nrj !*N ` ` ` a8DocumentE+N xTDocument StyleoN=(Nrj !*N ` ` ` Tech Init"66WkInitialize Technical Stylej "*NxT$E  1 .1 .1 .1 .1 .1 .1 .1 Technical2 } -^ a1Technical+N xTTechnical Document StyleN=(Nrj #*N 4!     a2Technical+N xTTechnical Document StyleN=(Nrj #*N *    a3Technical+N xTTechnical Document StyleN=(Nrj #*N'   a4Technical+N xTTechnical Document StyleN=(Nrj #*N&   28 $  .  a5Technical+N xTTechnical Document StyleN=(Nrj #*N&   . a6Technical+N xTTechnical Document StyleN=(Nrj #*N&!"  . a7Technical+N xTTechnical Document StyleN=(Nrj #*N&#$  . a8Technical+N xTTechnical Document StyleN=(Nrj #*N&%&  . 2o4j 0Pleading$66WkHeader for numbered pleading paper*NxT$E'(   ,#&m P7&P# X  y*dddyy*dddy H\1 H\2 H\3 H\4 H\5 H\6 H\7 H\8 H\9 H10 H11 H12 H13 H14 H15 H16 H17 H18 H19 H20 H21 H22 H23 H24 H25 H26 H27 H28   Ӽa1Right Par+N xTRight-Aligned Paragraph NumbersNrj <*N8)*@   a2Right Par+N xTRight-Aligned Paragraph NumbersNrj <*NA+,@` `  ` ` ` a3Right Par+N xTRight-Aligned Paragraph NumbersNrj <*NJ-.` ` @  ` `  2Na4Right Par+N xTRight-Aligned Paragraph NumbersNrj <*NS/0` `  @  a5Right Par+N xTRight-Aligned Paragraph NumbersNrj <*N\12` `  @hh# hhh a6Right Par+N xTRight-Aligned Paragraph NumbersNrj <*Ne34` `  hh#@( hh# a7Right Par+N xTRight-Aligned Paragraph NumbersNrj <*Nn56` `  hh#(@- ( 2 0a8Right Par+N xTRight-Aligned Paragraph NumbersNrj <*Nw78` `  hh#(-@pp2 -ppp Њ&m P7&P) `(CG Times (Scalable)&&m P7&P) `(CG Times (Scalable)&`\  PQP)\  ` TmsRmn 10pt (F)`\  PQP)\  ` TmsRmn 10pt (F)`\  PQP)\  ` TmsRmn 10pt (F)`\  PQP)\  ` TmsRmn 10pt (F)2#|H#`\  PQP# '3  9  X,  1  1 #`\  PQP#>x5 ,  Table 515. Dietary effects in passive smoking studies of lung cancer in females h ddx    ddx   h "E E E E UE E E E U" Study Passive1 RR Diet entityLung cancer relative risk by dietary intake quartile, tertile, etc. Lowest Next Next Highest Remarks"  "CORR22.07Carotene Vitamin A No data given No data givenNeversmokers. Carotene and total vitamin A were examined. "Except for gender, age, and study area, no confounding was detected.""  "GAO1.19Carotene rich Retinol rich Vitamin A index 1.0 1.0 1.3 2.03 1.0 1.1 1.0 1.1 1.0 1.63 1.2 2.03Patterns were similar for smokers and nonsmokers. Passive RR was not adjusted for diet, possibly because the trends were the opposite of those in the literature."  "HIRA41.53Greenyellow veg. Fish Meat Milk Soy paste soup 1.05 0.866 1.0 1.873 1.0 0.62 1.0 1.30 1.0 0.93Neversmokers. Lung cancer risks for wives whose husbands were former smokers plus 119 cig./day smokers and 20+ cig./day smokers relative to never smokers were 1.50 and 1.79 when adjusted for wives' age (Hirayama, 1984). They ranged from 1.53 to 1.69 and 1.66 to 1.91 when adjusted for wives' age, husband's occupation, and each of the various dietary factors."        "KALA1.92carotene Vegetables Fruits Vitamin C Retinol (preformed) 1.0 1.01 1.0 1.09 1.0 0.333 1.0 0.67 1.0 1.31Neversmokers. Controlled for age, years of schooling, interviewer, and total energy intake. No confounding was observed between the passive smoking effect and the effect of fruits, or between that of fruits and that of vegetables. Passive risk increased to 2.11 when adjusted for fruit consumption. "" `%.P(continued on the following page)  , #`\  PQP#>x5 ,     Table 515. (continued) h ddx    ddx   h "E E E E UE E E E U" Study Passive1 RR Diet entityLung cancer relative risk by dietary intake quartile, tertile, etc. Lowest Next Next Highest Remarks"XX"KOO71.55Leafy green veg. Carrots carotene Fresh fruit Vitamin C Fresh fish Smoked/cured meat/poultry Milk Retinol 1.0 0.49 0.49 1.0 1.31 0.51 1.0 0.73 0.73 1.0 0.81 0.42 1.0 0.55 0.47 1.0 0.46 0.35 1.0 0.82 0.92 1.0 1.66 0.92 1.0 0.55 0.42Neversmokers. Values are adjusted for age, numbers of live births, and schooling. Diet items are selected to compare with those in other studies. No calculation is shown of confounding effect of diet on the passive smoking risk either in Koo et al. (1987), Koo (1988), Koo et al. (1988), or Koo (1989). Fresh fruit, vitamin C, fresh fish, and retinol showed statistically significant trends."(("SHIM1.08Greenyellow veg. Fruit Milk Fish, pork, or lamb Chicken 1.08 0.98 1.0 1.2 1.0 1.0 1.0 1.0 1.0 0.7 Neversmokers. No dose response was found. No difference between cases and controls was found regarding intake of greenyellow vegetables."h    h    "SVEN1.26Carrots 1.09 0.710 0.63,11Adjusted for age, smoking, cumulative Rn exposure and municipality. The inclusion of carrot consumption in the regression model "had only a slight effect on the risk estimates of the other exposure variables." See Svensson (1988).  `&.Q(continued on the following page)  , #`\  PQP#x5 ,  Table 515. (continued) h ddx    ddx   h "E E E E UE E E E U" Study Passive1 RR Diet entityLung cancer relative risk by dietary intake quartile, tertile, etc. Lowest Next Next Highest Remarks"(("WU1.41carotene Preformed Vit. A Dairy products and eggs 1.0 0.52 0.32LT\! $d&(+l-/2t46$9|;=,@BD4GIK