I'd like to ask for advice on coding the "mixed-effects model" to see the percent change in health between year1 and year2. In the dataex, I have info on person, home, intervention (ventilation type), demographics, health outcomes and NO2 concentrations in both year 1 and year 2.
Specifically, I'd like to know:
1) percent change in health as a function of intervention (all ventilation types)
2) percent change in health as a function of each of the three intervention types
3) percent change in health per NO2 decrease

Lastly, as I also want to make models adjusted for sex, age, and edu (education level), how can I determine if those factors were potential confounding variables?
Any comments or suggestions are much appreciated!


Code:
* Example generated by -dataex-. To install: ssc install dataex
clear
input int personID str4 Home byte Homeid str8 Ventilation byte vent double(year1_health year2_health) str6 sex str25 race str38 edu double(year1_no2 year2_no2)
112 "H111"  1 "Exhaust"  1 16.294117647058822 15.117647058823529 "Female" "Hispanic or Latino"        "Completed graduate degree "             58.292660375545566  59.15929968049114
143 "H138"  2 "Balanced" 3 21.384615384615383 20.428571428571427 "Female" "White"                     ""                                        62.76490172807987 63.038986394450205
145 "H138"  2 "Balanced" 3 13.923076923076923               17.4 "Male"   "White"                     "Completed college undergraduate degree"  62.76490172807987 63.038986394450205
170 "H167"  3 "CFIS"     2 22.466666666666665              23.25 "Female" "White"                     "Completed graduate degree "              56.33193661785609  63.27032227341164
171 "H168"  4 "CFIS"     2 20.857142857142858 21.555555555555557 "Female" "White"                     "Completed college undergraduate degree"   66.1585704109377  57.13051973184713
174 "H172"  5 "CFIS"     2 23.307692307692307  24.11764705882353 "Female" "White"                     "Completed some college no degree"        57.68708598542611 57.236005188120224
180 "H177"  6 "Exhaust"  1                 21  22.23076923076923 "Female" "White"                     "Completed graduate degree "             61.899636465072604  60.68360524908931
183 "H179"  7 "Balanced" 3                 19 19.529411764705884 "Female" "White"                     "Completed college undergraduate degree"  60.53874811766886  63.55254164483663
185 "H181"  8 "Exhaust"  1 14.666666666666666                 19 "Female" "Black or African American" ""                                        63.30054657137316 59.039874414657966
186 "H182"  9 "CFIS"     2 11.153846153846153 17.333333333333332 "Female" "Black or African American" "Completed college undergraduate degree"  61.58640446216849  51.43792454544989
187 "H182"  9 "CFIS"     2 14.666666666666666 22.952380952380953 "Female" "Black or African American" ""                                        61.58640446216849  51.43792454544989
194 "H187" 10 "Balanced" 3               21.5 21.210526315789473 "Female" "Black or African American" "Completed graduate degree "             51.518544973948785 54.768295587682665
201 "H193" 11 "CFIS"     2 20.692307692307693 22.058823529411765 "Male"   "Hispanic or Latino"        "Completed graduate degree "             50.357783289201876  70.68138079860094
204 "H196" 12 "CFIS"     2 23.642857142857142 24.705882352941178 "Male"   "Hispanic or Latino"        "Completed some college no degree"       58.260161671038105  62.27559967087857
205 "H197" 13 "Balanced" 3              15.75               20.5 "Female" "Black or African American" "Completed some college no degree"       62.838209840768165   53.1536962580685
216 "H207" 14 "Exhaust"  1               23.5 24.444444444444443 "Female" "White"                     "Completed college undergraduate degree"  54.84059779036874  57.47775108340378
252 "H207" 14 "Exhaust"  1                 23 24.666666666666668 "Male"   "White"                     ""                                        54.84059779036874  57.47775108340378
217 "H208" 15 "Balanced" 3 23.666666666666668  24.46153846153846 "Female" "Black or African American" "Completed college undergraduate degree"  62.02773449694277  53.51241752751034
222 "H213" 16 "CFIS"     2 19.470588235294116 19.307692307692307 "Female" "Hispanic or Latino"        "Completed some college no degree"        58.59340280008861   55.9058420869943
223 "H214" 17 "Balanced" 3 14.266666666666668 16.666666666666668 "Female" "White"                     "Completed graduate degree "              56.51526616909314  59.47893759021493
228 "H217" 18 "Exhaust"  1               18.8 20.555555555555557 "Female" "White"                     "Completed graduate degree "              71.91513763347969   63.7320198003429
229 "H218" 19 "Exhaust"  1 22.466666666666665 19.833333333333332 "Female" "White"                     "Completed graduate degree "              59.04828438480723 57.676655048614386
230 "H218" 19 "Exhaust"  1 19.933333333333334  21.61111111111111 "Male"   "White"                     ""                                        59.04828438480723 57.676655048614386
232 "H220" 20 "CFIS"     2  23.31578947368421                 24 "Female" "Hispanic or Latino"        "Completed graduate degree "              72.34145468609995  68.82807516238483
233 "H220" 20 "CFIS"     2  16.36842105263158 14.846153846153847 "Female" "Hispanic or Latino"        ""                                        72.34145468609995  68.82807516238483
234 "H220" 20 "CFIS"     2  18.88888888888889  20.76923076923077 "Male"   "Hispanic or Latino"        "Completed graduate degree "              72.34145468609995  68.82807516238483
235 "H220" 20 "CFIS"     2  17.05263157894737              15.75 "Female" "Hispanic or Latino"        ""                                        72.34145468609995  68.82807516238483
end