因為中文在R裡面可能會有一些問題，因此將變數名稱有進行調整，若呈現如TCIPP代表其皮膚的濃度，若呈現如TCIPP_M_dut等"_dut“結尾代表其灰塵的濃度，若呈現如TCIPP_M_air等”_air“結尾代表空汙的濃度，若出現”_adj"的字樣，代表經過年齡、性別與BMI進行調整
總結來說，若不加入其他的人口學變相進行調整，成人尿液中非DPHP與BBOEP的化學物濃度主要與其皮膚接觸的濃度有較強的關聯，但兒童的BCIPP與皮膚和空汙較有關、DBP和空汙與灰塵較有關、BDCIPP和皮膚有關；而成人和孩童的BBOEP則會與空汙較有關連。 但若我們加入人口學變相進行討論，在BCIPP、DBP與BDCIPP會得到與沒加入變相一樣的結論，但是成人BBOEP變成空汙與灰塵有相近的影響權重，孩童的皮膚濃度則對其尿液濃度有極高的影響。 至於可由EHDPP與TPHP代謝產生的DPHP，在未經過調整前，成人的尿液濃度主要與EHDPP的空汙與灰塵有關，但經過調整後變成和TPHP的皮膚與灰塵有關，而不論調整與否，孩童TPHP的灰塵濃度皆占其尿液濃度中最大的比重。
## Joining, by = "mix_name"
## Joining, by = "mix_name"
## Joining, by = "mix_name"## mean_weight_adult mean_weight_adult_adj mean_weight_child
## TCIPP 0.77505370 0.86054723 0.42562734
## TCIPP_M_air 0.13948169 0.03118934 0.55002711
## TCIPP_M_dut 0.08546461 0.10826343 0.02434555
## p-value 0.21400000 0.11600000 0.43400000
## mean_weight_child_adj
## TCIPP 0.38076450
## TCIPP_M_air 0.52960096
## TCIPP_M_dut 0.08963454
## p-value 0.10100000## Joining, by = "mix_name"
## Joining, by = "mix_name"
## Joining, by = "mix_name"## mean_weight_adult mean_weight_adult_adj mean_weight_child
## TBP 0.69855707 0.9077062616 0.069376361
## TiBP_M_air 0.09759895 0.0434265254 0.009853977
## TiBP_M_dut 0.08429901 0.0006756460 0.559757458
## TiBP 0.04124289 0.0239699294 0.088390220
## TBP_M_dut 0.04124289 0.0239699294 0.088390220
## TBP_M_air 0.03705920 0.0002517082 0.184231763
## p-value 0.90500000 0.7260000000 0.823000000
## mean_weight_child_adj
## TBP 0.05876160
## TiBP_M_air 0.31894215
## TiBP_M_dut 0.37761630
## TiBP 0.11431612
## TBP_M_dut 0.11431612
## TBP_M_air 0.01604771
## p-value 0.96700000## Joining, by = "mix_name"
## Joining, by = "mix_name"
## Joining, by = "mix_name"## mean_weight_adult mean_weight_adult_adj mean_weight_child
## TPHP 0.4815646 0.5363692 0.3757274
## TPHP_M_air 0.3986117 0.0318987 0.1977960
## TPHP_M_dut 0.1198237 0.4317321 0.4264767
## p-value 0.9310000 0.0590000 0.8750000
## mean_weight_child_adj
## TPHP 0.3295387
## TPHP_M_air 0.1279630
## TPHP_M_dut 0.5424984
## p-value 0.6940000## Joining, by = "mix_name"
## Joining, by = "mix_name"
## Joining, by = "mix_name"## mean_weight_adult mean_weight_adult_adj mean_weight_child
## TDCIPP 0.5913797 0.5988248 0.7207011
## TDCIPP_M_air 0.2441452 0.2844439 0.1640188
## TDCIPP_M_dut 0.1644751 0.1167313 0.1152800
## p-value 0.1600000 0.1780000 0.0050000
## mean_weight_child_adj
## TDCIPP 0.6726137
## TDCIPP_M_air 0.1820152
## TDCIPP_M_dut 0.1453711
## p-value 0.0030000## Joining, by = "mix_name"
## Joining, by = "mix_name"
## Joining, by = "mix_name"## mean_weight_adult mean_weight_adult_adj mean_weight_child
## TBOEP_M_air 0.8401432970 0.44362331 0.75224783
## TBOEP_M_dut 0.1591075731 0.49792183 0.17574927
## TBOEP 0.0007491299 0.05845486 0.07200289
## p-value 0.8960000000 0.24700000 0.46400000
## mean_weight_child_adj
## TBOEP_M_air 0.01333313
## TBOEP_M_dut 0.04584825
## TBOEP 0.94081861
## p-value 0.38800000