基于地理探测器的中国城市男性青少年BMI影响因子探究

余国良,李建华,孙嘉欣,沈培培,杨春白雪

Research on BMI influencing factors of urban male adolescents in China based on geographical detector

Guoliang YU,Jianhua LI,Jiaxin SUN,Peipei SHEN,Baixue YANGCHUN

表5 因子交互作用下对青少年BMI值的影响力

Tab. 5 Effects of two kinds of influencing factors on adolescent BMI

年份 X1 X2 X3 X4 X5 X6 X7 X8 X9 2005 X1 0.0701 2005 X2 $\underline{0.4088}$ 0.2288 2005 X3 $\underline{0.5648}$ $\underline{0.5277}$ 0.2196 2005 X4 $\underline{0.4912}$ $\underline{0.4952}$ $\underline{0.5255}$ 0.3629 2005 X5 $\underline{0.4106}$ $\underline{0.5076}$ 0.2845 0.6112 0.0763 2005 X6 $\underline{0.5623}$ $\underline{0.3990}$ 0.4629 0.4671 0.5383 0.3170 2005 X7 $\underline{0.2489}$ $\underline{0.4454}$ 0.5576 0.4610 0.6034 0.4781 0.0321 2005 X8 $\underline{0.3871}$ $\underline{0.6245}$ $\underline{0.7616}$ $\underline{0.6001}$ $\underline{0.6987}$ $\underline{0.4902}$ $\underline{0.4310}$ 0.2217 2005 X9 $\underline{0.3590}$ $\underline{0.3360}$ 0.4174 0.4120 $\underline{0.3825}$ 0.3740 $\underline{0.2131}$ 0.4934 0.0739 2010 X1 0.0697 2010 X2 $\underline{0.3543}$ 0.0790 2010 X3 $\underline{0.4421}$ $\underline{0.2792}$ 0.0868 2010 X4 $\underline{0.5700}$ 0.3589 0.4258 0.2870 2010 X5 $\underline{0.2834}$ $\underline{0.3803}$ $\underline{0.2957}$ $\underline{0.4887}$ 0.1034 2010 X6 $\underline{0.4821}$ 0.2796 0.2895 0.3391 0.4833 0.1571 2010 X7 $\underline{0.1579}$ $\underline{0.3406}$ $\underline{0.3078}$ $\underline{0.5463}$ $\underline{0.3149}$ $\underline{0.3987}$ 0.0025 2010 X8 0.4579 $\underline{0.5937}$ $\underline{0.5838}$ 0.6190 0.6415 $\underline{0.6503}$ $\underline{0.5136}$ $\underline{0.4010}$ 2010 X9 $\underline{0.4639}$ 0.3868 0.4025 0.5604 $\underline{0.5046}$ 0.4402 $\underline{0.3842}$ 0.5334 0.2934 2014 X1 0.0338 2014 X2 $\underline{0.2631}$ 0.0211 2014 X3 $\underline{0.3848}$ $\underline{0.3833}$ 0.0807 2014 X4 $\underline{0.4091}$ $\underline{0.3378}$ $\underline{0.5028}$ 0.2344 2014 X5 $\underline{0.4891}$ $\underline{0.3959}$ 0.3025 0.3900 0.1850 2014 X6 $\underline{0.5942}$ $\underline{0.5127}$ 0.3622 0.4662 0.3699 0.3003 2014 X7 $\underline{0.5059}$ $\underline{0.4662}$ 0.4178 0.5007 0.4775 0.6686 0.3319 2014 X8 $\underline{0.3283}$ $\underline{0.3656}$ $\underline{0.5582}$ $\underline{0.5741}$ $\underline{0.5475}$ $\underline{0.6207}$ $\underline{0.6742}$ 0.2311 2014 X9 $\underline{0.2964}$ $\underline{0.2744}$ 0.2843 0.3105 $\underline{0.4180}$ 0.3590 0.5494 0.3669 0.1521