30 1 2006 1 Vol130, No11 January 2006 2 Population Research,,,,,, : ; ;, ;, ;, ;, ;, :100872,,,,,,,,, 1, 40, 8 %10 %,, 30 %40 %,,16 %,,15 %20 %,,,,,, 1, 1946 WHO,,WHO 2, (self - assessment of health self - rated health),,,,,,, 3,,,
1 3 1. 1 1. 1. 1 2500,2488, 99. 5 %, 80 %,,, ( 1) 1 2 1. 1. 2,,35 %, 8 ( 2),,3/ 4,; 20 %, ( 3),, 68 %, 14 % 3, 18 %,20 % ( 1), 17 % 1 % 26. 2 20. 2 6. 2 4. 6 3. 4 5. 1 44. 2 47. 8 16. 8 13. 8 10. 2 11. 9 12. 9 17. 3 16. 6 22. 8 28. 1 31. 0 12. 3 9. 0 31. 2 32. 2 22. 8 28. 8 4. 5 5. 5 29. 2 26. 6 35. 5 23. 3 100. 0 100. 0 100. 0 100. 0 100. 0 100. 0
4 30 1. 1. 3,,, ( 4) 1. 2, 4, ( ), ( ) ( ) 1. 2. 1 4, ; ; 2 20, ( ) ( ) ( ) 2 % p 50 22. 0 64. 6 13. 4 0. 189 50 19. 0 67. 0 14. 0 24. 5 62. 6 12. 9 0. 512 20. 5 65. 8 13. 7 21. 6 66. 5 12. 0 0. 072 20. 8 63. 9 15. 3 18. 9 71. 8 9. 3 24. 0 64. 0 12. 1 15. 0 68. 9 16. 1 23. 9 62. 4 13. 7 18. 1 66. 3 15. 7 3000 18. 7 65. 6 15. 7 0. 053 30005000 20. 8 67. 1 12. 2 50008000 25. 4 62. 4 12. 2 800010000 26. 5 61. 2 12. 2 10000 27. 5 52. 5 20. 0 516 1633 339
1 5,, ( 2),,,,,,,,,,, 1. 2. 2,,,, (Ordinal Logistic Regression),,,,, ( 3) [ = ] 3 N = 2112 N = 1841 N = 1939 N = 2935 0. 25 3 3 0. 04 3 0. 02 3 3 0. 31 3 3 [ = ] 6. 30 3 3 1. 74 0. 78 7. 96 3 3 1. 04 0. 95 1. 07 1. 09 (= ) 0. 86 0. 85 0. 79 3 0. 85 3 0. 79 0. 78 0. 73 (= ) 0. 95 0. 88 0. 80 0. 82 0. 81 0. 69 0. 78 0. 73 0. 76 1. 03 0. 86 1. 03 0. 75 0. 62 0. 72 (= ) 0. 89 0. 95 0. 80 0. 90 (= 50 ) 0. 89 0. 70 3 3 0. 99 1. 05 (= 10000 ) 3000 1. 31 1. 54 0. 76 30005000 1. 12 1. 29 0. 78 50008000 0. 93 1. 12 0. 76 800010000 0. 94 1. 24 0. 64 1. 04 (= ) 0. 80 3 (= ) 0. 47 3 3 (= ) 1. 47 3 3 (= ) 0. 51 3 3 (= ) 0. 17 3 3 (= ) 1. 01 0. 04 3 3 0. 20 3 3 (= ) 0. 97 3 0. 05 ; 3 3 0. 01
6 30, ;,, 6. 3, 0. 25,,50 0. 7 1,,,, 0. 04,, 1. 3, : (1), ; (2),, (3),,,, (4),, 2 2. 1,,, ;,,, 5,, 35,15 ( 4) 2. 1. 1,, ( 5) 2. 1. 2, :
1 7 U ( v 1 ) = (15 - x) / 15 (0 < x 15) 0 ( x > 15) U ( v 2 ) = x/ 15 (0 < x 15) (30 - x) / 15 (15 < x 30) 0 ( x > 30) U ( v 3 ) = 0 (0 < x 15) ( x - 15) / 15 (15 < x 30) (55 - x) / 25 (30 < x 55) 0 ( x > 55) U ( v 4 ) = 0 (0 < x 30) ( x - 30) / 25 (30 < x 55) (50 - x) / 25 (55 < x 80) 0 ( x > 80) 0 (0 < x 55) U ( v 5 ) = ( x - 55) / 25 (55 < x 80) 1 (80 < x 100) 4 1 1 6 2. 59 1. 39 2, 1 6 2. 15 1. 29 3, 1 6 2. 21 1. 22 4? 1 6 2. 57 1. 37 5? 1 6 3. 10 1. 35 6 1 4 1. 49 0. 62 7 1 4 1. 45 0. 60 8 0 100 24. 56 20. 92 9 0 4 0. 76 1. 20 10 0 3 0. 57 0. 93 11 1 3 2. 11 0. 61 12 1 5 1. 83 1. 21 13 1 3 1. 21 0. 45 14 1 3 1. 09 0. 30 15 4 1 3 1. 13 0. 36 5,, :,,4,,,,,
8 30 2. 1. 3,,,,,,,, 6,,,, ;,,,,,, SPSS,( 6) 1,4, 4 :, (Sig = 0. 000) KMO (0. 87), ( Factor loading),0. 3, 10 % 7,, = (0. 56 0. 20 0. 11 0. 13) 6 2. 1. 4 = (0. 20 0. 19 0. 20 0. 21 0. 20) = (0. 20 0. 22 0. 17 0. 18 0. 23) = (0. 60 0. 40) = (0. 32 0. 36 0. 32 ), : U = { U1, U2, U3, U4} = {,,, }, U1 = { U11, U12, U13, U14, U15} = {,,,,} U2 = { U21, U22, U23, U24, U25} = {,,,,} U3 = { U31, U32} = {, } U4 = { U41, U42, U43} = {,,4 } V = { ( v 1 ),( v 2 ), ( v 3 ), ( v 4 ), ( v 5 ) } 2. 1. 5
1 9,,, R R, 3, R R v 1 v 2 v 3 v 4 v 5 4 R, R = U 11 U 12 U 13 U 14 r 11 r 12 r 13 r 14 r 15 r 21 r 22 r 23 r 24 r 25 r 31 r 32 r 33 r 34 r 35 r 41 r 42 r 43 r 44 r 45 = R ( r ij ) 5 5 U 15 r 51 r 52 r 53 r 54 r 55 r ij xj,xj,4, ( 1-5) : y = 100 ( x - 1) / 5 ( 6 7) : y = 100 ( x - 1) / 3 ( 9) : y = 100 ( x - 0) / 3 ( 10) : y = 100 ( x - 0) / 2 ( 11) : y = 100 ( x - 1) / 2 ( 13-15) : y = 100 ( x - 1) / 2 ( 12) :y = 100 ( x - 1) / 4 ( 5) : 5 1 31. 86 2, 23. 04 3, 24. 16 4? 31. 31 5? 42. 05 6 16. 26 7 15. 17 8 20. 81 9 24. 56 10 25. 40 11 28. 43 12 55. 39 13 10. 56 14 4. 56 15 4 6. 54 5,, 4 : R = 0 0 0193 0107 0 0 0146 0154 0 0 0 0139 0161 0 0 0 0 9195 0105 0 0 0 0152 0148 0 R = 0 0192 0108 0 0 0 0199 0101 0 0 0 0161 0139 0 0 0 0136 0164 0 0 0 0110 0190 0 0
10 30 R = 0 0161 0139 0 0 0 0 0 0198 0102 R =, B = R 4 B = R = (0. 20 0. 19 0. 20 0. 21 = (0. 00 0. 17 0. 71 0. 13 0. 00) 0 0196 0104 0 0 0109 0191 0 0 0 0 0190 0110 0 0 0 0 0193 0107 0 0 0146 0154 0 0 0. 20) 0 0139 0161 0 0 0 0 0195 0105 0 0 0 0152 0148 0 B = R 0 0192 0108 0 0 0 0199 0101 0 0 = (0. 20 0. 22 0. 17 0. 18 0. 23) 0 0161 0139 0 0 0 0136 0164 0 0 = (0. 00 0. 54 0. 46 0. 00 0. 00) B = R = (0.60 0.40) 0 0161 0139 0 0 0 0 0 0198 0102 = (0.00 0.37 0.23 0. 40 0.01) 0 0110 0190 0 0 B = 0 0196 0104 0 0 = (0. 32 0. 36 0. 32) 0109 0191 0 0 0 0 0190 0110 0 0 = (0. 03 0. 92 0. 04 0.00) ) M(, g), M(,,,,, g,m (, ) 2. 1. 6 U1 U5 B R = B B B B = 0 0117 0171 0113 0 0 0154 0146 0 0 0 0137 0123 0140 0. 01 0103 0192 0104 0 0 = (0. 56 0. 20 0. 11 0. 13),B : B = R 0 0154 0146 0 0 = (0. 56 0. 20 0. 11 0. 13) 0 0137 0123 0140 0. 01 0 0117 0171 0113 0 0103 0192 0104 0 0 = (0. 003 0. 349 0. 524 0. 123 0. 001) 2. 1. 7 :, 71 %, ;, 54 %,;, ;
1 11,, 52 %, 2. 2 505,,,, 0. 3,3,,,:, = (0. 52 0. 32 0. 16) = (0. 21 0. 27 0. 27 0. 25) = (0. 19 0. 20 0. 20 0. 21 0. 20) = (0. 20 0. 21 0. 17 0. 20 0. 22), : = B R B B = 0 0 0190 0110 0 0103 0163 0134 0 0 0116 0156 0114 0114 0 = (0. 52 0. 32 0. 16) 0 0 0190 0110 0 B = R = (0. 52 0. 32 0. 16) 0103 0163 0134 0 0 0116 0156 0114 0114 0 = (0. 09 0. 25 0. 61 0. 05 0),, : 2. 3 2. 3. 1, :,,,, (0. 52 < 0. 61) ;5, (0. 124 > 0. 05) 2. 3. 2, : = b + b ;= b + b b j b + b, ( ),,, : : = (0. 003 + 0. 349) / 1 = 0. 352 = (0. 09 + 0. 25) / 1 = 0. 34
12 30 : = (0. 003 + 0. 349) / (0. 123 + 0. 001) = 2. 84 = (0. 09 + 0. 25) / (0. 05 + 0) = 6. 71,,,,,,,, 3, : (1),, (2), (3),,, (4),,,,, : 1 Cassidy, Tony. Social background, achievement motivation, optimism and health : a longitudinal study. Counselling Psychology Quarterly, 09515070, Dec,2000, Vol. 13, Issue 4,Datebase : cademic Search Premier 2 Power, Chris, Manor, Orly, Matthews, Sharon. The duration and timing of exposure : effects of socioeconomic environment on adult health. merican Journal of Public Health, 00900036, Jul9 9, Vol. 89, Issue 7,Database : cademic Search Premier 3 Idler EL, Benyamini Y. 1997. Self - rated health and mortality : a review of twenty - seven community studies. Journal of Health Social Behavior. Mar,38 (1) :21-37. 4 Rik Verhaeghe,Rudolf Mak,Georges Van Maele,Marcel Kornitzer and Guy Deacker. Job stress among middle - aged health care workers and its relation to sickness absence. Stress and Health,19 :265-274 (2003) (www. interscience. wiley. com). DOI : 10. 1002/ smi. 985 5..,1991-12, Published online in Wiley InterScience 6,,..,2004 ;10 7. SPSS11. P200 Health of Chinese Senior Intellectuals : Comprehensive Evaluation bstract : The middle - aged senior intellectuals are important wealth and power in the nation s construction. Concerns from the gov2 ernment, the academic circle and the mass media have been paid to their health status, particularly their early death resulting from ex2 cessive and overload work. This paper examines and evaluates their health status by fuzzy theory and factor analysis using data from 2004 sample survey of middle - aged senior intellectuals in Beijing. Key word : Senior intellectuals ; Health status ; Fuzzy synthesis evaluation uthors : Du Benfeng,He Hong, Jin Chenggang, Zhai Zhenwu, Center for Population and Development Studies, People s University of China ; Fu Xiaoguang is M student, Institute of Population Research, People s University of China. ( : :2005-12)