RQA analysis skin temperature

First urban
(N=8)		 First mountainous
(N=6)		 Overall
(N=14)		 P-value
Age
Mean (SD) 42.0 (7.80) 45.3 (10.9) 43.4 (9.01) 0.54
Median [Min, Max] 39.5 [32.0, 56.0] 44.5 [31.0, 60.0] 40.5 [31.0, 60.0]
Sex
Female 6 (75.0%) 5 (83.3%) 11 (78.6%) 1
Male 2 (25.0%) 1 (16.7%) 3 (21.4%)
BMI
Mean (SD) 25.9 (3.67) 23.7 (2.19) 24.9 (3.22) 0.186
Median [Min, Max] 26.0 [19.4, 29.8] 24.0 [21.0, 27.2] 24.6 [19.4, 29.8]
BMIcat
underweight 0 (0%) 0 (0%) 0 (0%) 0.301
normal weight 4 (50.0%) 5 (83.3%) 9 (64.3%)
overweight 4 (50.0%) 1 (16.7%) 5 (35.7%)
education_level
Secondary 3 (37.5%) 2 (33.3%) 5 (35.7%) 0.199
University/college 3 (37.5%) 0 (0%) 3 (21.4%)
Master/PhD 2 (25.0%) 4 (66.7%) 6 (42.9%)
Smoking_status
Smoker 2 (25.0%) 0 (0%) 2 (14.3%) 0.473
Non-smoker 5 (62.5%) 6 (100%) 11 (78.6%)
Former smoker 1 (12.5%) 0 (0%) 1 (7.1%)
alcohol_freq
Weekly 2 (25.0%) 1 (16.7%) 3 (21.4%) 1
Monthly 2 (25.0%) 1 (16.7%) 3 (21.4%)
Rarely/Never 4 (50.0%) 4 (66.7%) 8 (57.1%)
Physical_exercise
Yes 1 (12.5%) 6 (100%) 7 (50.0%) 0.00466
No 7 (87.5%) 0 (0%) 7 (50.0%)
screen_hours_day
Mean (SD) 5.88 (3.48) 4.67 (3.08) 5.36 (3.25) 0.506
Median [Min, Max] 6.50 [2.00, 10.0] 4.00 [1.00, 10.0] 5.00 [1.00, 10.0]
days_mountain
Mean (SD) 7.00 (1.20) 8.67 (4.59) 7.71 (3.10) 0.422
Median [Min, Max] 7.50 [5.00, 8.00] 6.50 [5.00, 15.0] 7.00 [5.00, 15.0]
washout_days
Mean (SD) 11.9 (7.28) 19.7 (8.41) 15.2 (8.47) 0.0995
Median [Min, Max] 14.0 [2.00, 22.0] 22.5 [6.00, 30.0] 15.0 [2.00, 30.0]

RQA analysis Settings: time.lag=1, radius = 0.1
ID setting REC DET DIV Lmean ENTR TREND LAM Vmean
T10-U Urban 0.0595910 0.9034054 0.0062893 5.272873 2.170489 -0.0000926 0.9309530 5.914143
T11-U Urban 0.0650993 0.8843914 0.0064516 4.776698 2.092872 0.0000086 0.9153641 5.793558
T12-U Urban 0.0621634 0.9180152 0.0038023 5.571018 2.297317 -0.0000843 0.9411724 6.731343
T16-U Urban 0.0432359 0.9003279 0.0031250 6.267412 2.273365 -0.0000715 0.9145381 7.318101
T17-U Urban 0.0757774 0.9237711 0.0050761 5.521893 2.334194 -0.0000462 0.9478400 6.915997
T24-U Urban 0.0794569 0.8956582 0.0129870 4.397663 2.016300 -0.0000939 0.9252764 4.898158
T26-U Urban 0.0244792 0.8188731 0.0116279 4.133864 1.819283 -0.0000072 0.8498030 4.404779
T29-U Urban 0.0451341 0.9230260 0.0032895 5.883403 2.378324 -0.0000155 0.9484774 6.916089
T31-U Urban 0.0396316 0.8543441 0.0081967 4.765492 2.019598 -0.0000284 0.8879654 5.297111
T33-U Urban 0.0455633 0.8959992 0.0068966 5.050653 2.145141 -0.0000423 0.9290008 5.862801
T34-U Urban 0.0361323 0.8750200 0.0129870 4.735284 2.041002 0.0000066 0.9011265 5.056999
T35-U Urban 0.0987288 0.9625935 0.0030960 7.659295 2.741629 -0.0001313 0.9741750 10.000351
T45-U Urban 0.0472820 0.8877647 0.0086957 4.703594 2.090574 -0.0000031 0.9163335 5.203348
T60-U Urban 0.0442332 0.9341270 0.0048077 6.257212 2.461850 -0.0000105 0.9520944 7.635569
T10-M Mountainous 0.0938204 0.9878589 0.0008905 20.725116 3.670949 -0.0001596 0.9841323 26.826258
T11-M Mountainous 0.0542544 0.8859931 0.0046083 5.185786 2.070951 -0.0000825 0.9073261 5.521800
T12-M Mountainous 0.0744223 0.9390884 0.0031949 8.004529 2.413887 -0.0001078 0.9555021 9.686966
T16-M Mountainous 0.0757996 0.9430709 0.0033784 6.666517 2.470191 -0.0000866 0.9599181 8.390968
T17-M Mountainous 0.0673148 0.9158500 0.0052356 5.059084 2.206857 -0.0000597 0.9471644 6.024012
T24-M Mountainous 0.0403665 0.8680350 0.0071942 4.623481 1.970126 -0.0000177 0.9067548 5.149186
T26-M Mountainous 0.0506211 0.9373523 0.0034843 6.333569 2.434794 -0.0000446 0.9559485 8.096829
T29-M Mountainous 0.0396402 0.9065914 0.0079365 5.523682 2.293040 -0.0000481 0.9383318 6.547453
T31-M Mountainous 0.0323573 0.8709610 0.0086207 4.903751 1.931763 -0.0000481 0.9034965 5.584615
T33-M Mountainous 0.0521518 0.9362320 0.0048077 7.061868 2.512756 -0.0000821 0.9566403 8.586736
T34-M Mountainous 0.0795986 0.9443622 0.0068493 6.284466 2.458174 -0.0001414 0.9682935 7.576508
T35-M Mountainous 0.0533700 0.9608920 0.0016863 17.447088 2.675620 -0.0001034 0.9635306 16.787154
T45-M Mountainous 0.0498987 0.9462646 0.0051282 9.016484 2.752232 0.0000103 0.9445926 9.687481
T60-M Mountainous 0.0590673 0.9514051 0.0043103 7.610868 2.596223 0.0001027 0.9652520 9.489205

RQA Plots


PCA analysis

Eigenvalues/variances
eigenvalue variance.percent cumulative.variance.percent
Dim.1 5.4822673 68.5283410 68.52834
Dim.2 0.9926115 12.4076438 80.93598
Dim.3 0.7990761 9.9884510 90.92444
Dim.4 0.4334924 5.4186551 96.34309
Dim.5 0.2028643 2.5358036 98.87889
Dim.6 0.0693162 0.8664519 99.74535
Dim.7 0.0171898 0.2148719 99.96022
Dim.8 0.0031825 0.0397816 100.00000

Coordinates of variables
Dim.1 Dim.2 Dim.3 Dim.4 Dim.5
REC 0.7191258 -0.5713829 0.0761212 0.2664070 -0.2802574
DET 0.9350897 -0.0166398 0.3034802 0.0535048 0.1522846
DIV -0.7857237 -0.1339225 -0.2548890 0.5130884 0.1909462
Lmean 0.8423419 0.3599853 -0.3689115 0.0533150 -0.0018347
ENTR 0.9463790 0.2080984 -0.0110779 0.1301327 0.0044391
TREND -0.5505767 0.6051605 0.4934000 0.2538726 -0.1473390
LAM 0.8838002 -0.1294330 0.3877210 0.0549202 0.1991669
Vmean 0.8854154 0.3034047 -0.3259195 0.0956696 -0.0571813
Contribution of variables
Dim.1 Dim.2 Dim.3 Dim.4 Dim.5
REC 9.432992 32.8908551 0.7251415 16.3723064 38.7176161
DET 15.949472 0.0278944 11.5258375 0.6603948 11.4315825
DIV 11.261067 1.8068737 8.1304420 60.7299539 17.9728352
Lmean 12.942454 13.0554045 17.0316309 0.6557184 0.0016593
ENTR 16.336911 4.3627285 0.0153577 3.9065332 0.0097136
TREND 5.529367 36.8945212 30.4656300 14.8679160 10.7011399
LAM 14.247807 1.6877593 18.8126718 0.6957977 19.5536856
Vmean 14.299930 9.2739634 13.2932887 2.1113794 1.6117678

## RQA descriptives Overall and by setting

metric setting mean sd q0 q25 q50 q75 q90 q95 q100
DET Mountainous 0.9281398 0.0345731 0.8680350 0.9089060 0.9382204 0.9457890 0.9580460 0.9703304 0.9878589
DET Overall 0.9132598 0.0374829 0.8188731 0.8873218 0.9169326 0.9400840 0.9542512 0.9619980 0.9878589
DET Urban 0.8983798 0.0352961 0.8188731 0.8852347 0.8981635 0.9217733 0.9310203 0.9440903 0.9625935
Dim.1 Mountainous 0.9280890 2.5398309 -2.4496847 -0.6500129 0.9191682 1.5481476 3.1198800 5.0772192 7.6116908
Dim.1 Overall 0.0000000 2.3843897 -4.6524333 -1.4027553 0.0300195 0.9897313 2.1528298 3.5061379 7.6116908
Dim.1 Urban -0.9280890 1.8713647 -4.6524333 -1.7947273 -0.8383016 0.1961672 0.4089401 1.3837977 3.1228869
Dim.2 Mountainous 0.1535347 1.0895552 -1.9085288 -0.7424925 0.2666008 0.9198058 1.4817571 1.6400065 1.9204143
Dim.2 Overall 0.0000000 1.0145811 -2.0690360 -0.7626121 0.2666008 0.6227819 1.2094341 1.4805470 1.9204143
Dim.2 Urban -0.1535347 0.9486989 -2.0690360 -0.7296142 0.1626016 0.5424521 0.7964603 0.8544883 0.8884815
DIV Mountainous 0.0048089 0.0022574 0.0008905 0.0034049 0.0047080 0.0064459 0.0077138 0.0081760 0.0086207
DIV Overall 0.0058805 0.0030993 0.0008905 0.0034578 0.0051022 0.0073798 0.0095753 0.0125113 0.0129870
DIV Urban 0.0069520 0.0035187 0.0030960 0.0040536 0.0063705 0.0085709 0.0125793 0.0129870 0.0129870
ENTR Mountainous 2.4612545 0.4283064 1.9317634 2.2284027 2.4464839 2.5753558 2.7292485 3.0737832 3.6709492
ENTR Overall 2.3335536 0.3616510 1.8192829 2.0856683 2.2951786 2.4639350 2.6954225 2.7485211 3.6709492
ENTR Urban 2.2058527 0.2303769 1.8192829 2.0533950 2.1578154 2.3249750 2.4367919 2.5597724 2.7416289
LAM Mountainous 0.9469203 0.0248347 0.9034965 0.9398970 0.9557253 0.9626274 0.9673811 0.9738371 0.9841323
LAM Overall 0.9353930 0.0298962 0.8498030 0.9151576 0.9428825 0.9561214 0.9661645 0.9721165 0.9841323
LAM Urban 0.9238657 0.0308766 0.8498030 0.9147446 0.9271386 0.9461731 0.9510093 0.9598226 0.9741750
Lmean Mountainous 8.1747350 4.8357655 4.6234808 5.2702604 6.5000431 7.9061139 14.9179067 18.5943976 20.7251159
Lmean Overall 6.7658087 3.7062986 4.1338637 4.8719876 5.5473504 6.7653545 8.3081156 14.4963765 20.7251159
Lmean Urban 5.3568823 0.9326268 4.1338637 4.7428357 5.1617633 5.8053065 6.2643520 6.7545711 7.6592950
REC Mountainous 0.0587631 0.0173453 0.0323573 0.0500793 0.0538122 0.0726454 0.0784589 0.0845762 0.0938204
REC Overall 0.0567568 0.0184224 0.0244792 0.0439839 0.0527609 0.0690917 0.0794994 0.0888428 0.0987288
REC Urban 0.0547506 0.0198834 0.0244792 0.0434852 0.0464226 0.0643654 0.0783531 0.0862021 0.0987288
TREND Mountainous -0.0000620 0.0000657 -0.0001596 -0.0000992 -0.0000709 -0.0000455 0.0000019 0.0000427 0.0001027
TREND Overall -0.0000529 0.0000557 -0.0001596 -0.0000881 -0.0000481 -0.0000142 0.0000072 0.0000097 0.0001027
TREND Urban -0.0000437 0.0000442 -0.0001313 -0.0000811 -0.0000353 -0.0000080 0.0000037 0.0000073 0.0000086
Vmean Mountainous 9.5682266 5.7641164 5.1491859 6.1548726 8.2438985 9.6375258 14.6572520 20.3008400 26.8262575
Vmean Overall 7.9251257 4.4508833 4.4047789 5.5689116 6.8236702 8.4399103 9.7813423 14.4117727 26.8262575
Vmean Urban 6.2820248 1.4507410 4.4047789 5.2267884 5.8884723 6.9160659 7.5403283 8.4632425 10.0003510

Paired T test after log transformation for each variable for the 2 groups (alternative hypothesis: true difference in means is not equal to 0)

Paired - T test
metric estimate statistic p.value parameter conf.low conf.high method alternative
REC -0.0038366 -0.5848616 0.5686533 13 -0.0180081 0.0103350 Paired t-test two.sided
DET -0.0155664 -2.6571506 0.0197413 13 -0.0282224 -0.0029103 Paired t-test two.sided
DIV 0.0021272 2.3817886 0.0331968 13 0.0001978 0.0040567 Paired t-test two.sided
Lmean -0.2849791 -2.9412937 0.0114620 13 -0.4942952 -0.0756631 Paired t-test two.sided
ENTR -0.0724921 -2.2339090 0.0436852 13 -0.1425977 -0.0023864 Paired t-test two.sided
TREND 0.0000184 1.0564493 0.3100008 13 -0.0000192 0.0000559 Paired t-test two.sided
LAM -0.0119568 -2.4443546 0.0295245 13 -0.0225245 -0.0013891 Paired t-test two.sided
Vmean -0.2955314 -2.8728463 0.0130716 13 -0.5177698 -0.0732930 Paired t-test two.sided
Dim.1 -0.3663775 -2.4067249 0.0316836 13 -0.6952521 -0.0375030 Paired t-test two.sided

Leptin,cortisol and adiponectin are adjusted for creatinine and then log transformed (Metrics are log transformed in a previous step)

Leptin models

Formula:leptin ~ Mesurment + SampleType + Age + (1 | ID)
Number of observations:56
p.values values for Metabolites (14 total models)
MesurmentName effect term estimate std.error statistic df p.value conf.low conf.high
TREND fixed Mesurment 0.2117733 0.1397831 1.5150138 51.93998 0.1358313 -0.0687297 0.4922763
Lmean fixed Mesurment -0.1287979 0.1274881 -1.0102738 50.88418 0.3171442 -0.3847552 0.1271593
LAM fixed Mesurment 0.1207388 0.1275635 0.9464999 51.03760 0.3483536 -0.1353509 0.3768285
Vmean fixed Mesurment -0.1128583 0.1277718 -0.8832799 50.56105 0.3812657 -0.3694250 0.1437084
DET fixed Mesurment 0.1011901 0.1299490 0.7786914 51.48210 0.4397261 -0.1596340 0.3620142
DIV fixed Mesurment -0.0826193 0.1414056 -0.5842719 50.38055 0.5616446 -0.3665877 0.2013490
Dim.1 fixed Mesurment 0.0724496 0.1303585 0.5557716 49.72798 0.5808591 -0.1894187 0.3343179
REC fixed Mesurment 0.0392600 0.1293219 0.3035836 50.17184 0.7627006 -0.2204687 0.2989887
ENTR fixed Mesurment -0.0132578 0.1282431 -0.1033804 51.04260 0.9180662 -0.2707114 0.2441958

Adiponectin models

Formula:adiponectin ~ Mesurment + SampleType + Age + (1 | ID)
Number of observations:56
p.values values for Metabolites (14 total models)
MesurmentName effect term estimate std.error statistic df p.value conf.low conf.high
LAM fixed Mesurment 0.2455602 0.1301070 1.8873720 51.80246 0.0647188 -0.0155422 0.5066626
DET fixed Mesurment 0.2312141 0.1326227 1.7433976 51.99182 0.0871754 -0.0349138 0.4973419
REC fixed Mesurment 0.1915353 0.1331008 1.4390247 51.25184 0.1562231 -0.0756438 0.4587144
Dim.1 fixed Mesurment 0.1736237 0.1352579 1.2836490 51.13568 0.2050513 -0.0979004 0.4451479
ENTR fixed Mesurment 0.1209754 0.1331673 0.9084468 51.95502 0.3678370 -0.1462498 0.3882006
DIV fixed Mesurment -0.1321352 0.1475871 -0.8953033 51.48750 0.3747916 -0.4283607 0.1640902
TREND fixed Mesurment 0.1107087 0.1471355 0.7524264 50.62191 0.4552794 -0.1847318 0.4061491
Lmean fixed Mesurment -0.0294941 0.1347621 -0.2188602 51.88779 0.8276175 -0.2999279 0.2409398
Vmean fixed Mesurment 0.0067009 0.1350064 0.0496336 51.77543 0.9606054 -0.2642373 0.2776390

Cortisol models

Formula:cortisol ~ Mesurment + SampleType + Age + (1 | ID)
Number of observations:56
p.values values for Metabolites (14 total models)
MesurmentName effect term estimate std.error statistic df p.value conf.low conf.high
Vmean fixed Mesurment 0.1008289 0.1278712 0.7885192 46.61363 0.4343851 -0.1564710 0.3581288
ENTR fixed Mesurment 0.0909080 0.1266048 0.7180454 45.68250 0.4763856 -0.1639820 0.3457979
Lmean fixed Mesurment 0.0801385 0.1275660 0.6282124 45.96805 0.5329737 -0.1766433 0.3369204
LAM fixed Mesurment 0.0679259 0.1285140 0.5285485 48.32561 0.5995378 -0.1904238 0.3262756
DET fixed Mesurment 0.0655077 0.1291957 0.5070425 46.31448 0.6145308 -0.1945020 0.3255174
Dim.1 fixed Mesurment 0.0667570 0.1329279 0.5022046 50.34731 0.6177130 -0.2001909 0.3337049
TREND fixed Mesurment -0.0284925 0.1365526 -0.2086554 39.22913 0.8357969 -0.3046447 0.2476598
DIV fixed Mesurment 0.0250773 0.1436663 0.1745523 49.61454 0.8621418 -0.2635405 0.3136950
REC fixed Mesurment 0.0178624 0.1312849 0.1360585 49.85424 0.8923230 -0.2458501 0.2815750

Metrics ~ setting models

Formula:Mesurment ~ setting + Age + Sex
Number of observations:57
MesurmentName term estimate std.error statistic p.value conf.low conf.high
Lmean settingMountainous 0.8409589 0.2328783 3.6111517 0.0006770 0.3845258 1.2973920
Vmean settingMountainous 0.8331149 0.2311302 3.6045268 0.0006910 0.3801081 1.2861217
DET settingMountainous 0.7767704 0.2302093 3.3741919 0.0013907 0.3255684 1.2279723
Dim.1 settingMountainous 0.7454419 0.2240595 3.3269811 0.0016003 0.3062932 1.1845905
LAM settingMountainous 0.7642029 0.2312313 3.3049287 0.0017082 0.3109979 1.2174079
DIV settingMountainous -0.6525598 0.2112233 -3.0894315 0.0031910 -1.0665498 -0.2385698
ENTR settingMountainous 0.7075477 0.2423515 2.9195102 0.0051372 0.2325475 1.1825479
TREND settingMountainous -0.3223264 0.2361081 -1.3651646 0.1779684 -0.7850897 0.1404369
REC settingMountainous 0.1808659 0.2528558 0.7152928 0.4775675 -0.3147223 0.6764541
RQA sensitivity analysis skin temperature(radius = 0.01)

RQA sensitivity analysis skin temperature(radius = 0.01)

First urban
(N=8)		 First mountainous
(N=6)		 Overall
(N=14)		 P-value
Age
Mean (SD) 42.0 (7.80) 45.3 (10.9) 43.4 (9.01) 0.54
Median [Min, Max] 39.5 [32.0, 56.0] 44.5 [31.0, 60.0] 40.5 [31.0, 60.0]
Sex
Female 6 (75.0%) 5 (83.3%) 11 (78.6%) 1
Male 2 (25.0%) 1 (16.7%) 3 (21.4%)
BMI
Mean (SD) 25.9 (3.67) 23.7 (2.19) 24.9 (3.22) 0.186
Median [Min, Max] 26.0 [19.4, 29.8] 24.0 [21.0, 27.2] 24.6 [19.4, 29.8]
BMIcat
underweight 0 (0%) 0 (0%) 0 (0%) 0.301
normal weight 4 (50.0%) 5 (83.3%) 9 (64.3%)
overweight 4 (50.0%) 1 (16.7%) 5 (35.7%)
education_level
Secondary 3 (37.5%) 2 (33.3%) 5 (35.7%) 0.199
University/college 3 (37.5%) 0 (0%) 3 (21.4%)
Master/PhD 2 (25.0%) 4 (66.7%) 6 (42.9%)
Smoking_status
Smoker 2 (25.0%) 0 (0%) 2 (14.3%) 0.473
Non-smoker 5 (62.5%) 6 (100%) 11 (78.6%)
Former smoker 1 (12.5%) 0 (0%) 1 (7.1%)
alcohol_freq
Weekly 2 (25.0%) 1 (16.7%) 3 (21.4%) 1
Monthly 2 (25.0%) 1 (16.7%) 3 (21.4%)
Rarely/Never 4 (50.0%) 4 (66.7%) 8 (57.1%)
Physical_exercise
Yes 1 (12.5%) 6 (100%) 7 (50.0%) 0.00466
No 7 (87.5%) 0 (0%) 7 (50.0%)
screen_hours_day
Mean (SD) 5.88 (3.48) 4.67 (3.08) 5.36 (3.25) 0.506
Median [Min, Max] 6.50 [2.00, 10.0] 4.00 [1.00, 10.0] 5.00 [1.00, 10.0]
days_mountain
Mean (SD) 7.00 (1.20) 8.67 (4.59) 7.71 (3.10) 0.422
Median [Min, Max] 7.50 [5.00, 8.00] 6.50 [5.00, 15.0] 7.00 [5.00, 15.0]
washout_days
Mean (SD) 11.9 (7.28) 19.7 (8.41) 15.2 (8.47) 0.0995
Median [Min, Max] 14.0 [2.00, 22.0] 22.5 [6.00, 30.0] 15.0 [2.00, 30.0]

RQA analysis Settings: time.lag=1, radius = 0.01
ID setting REC DET DIV Lmean ENTR TREND LAM Vmean
T10-U Urban 0.0031105 0.6651163 0.0833333 4.409044 1.3156262 -4.2e-06 0.4072868 3.507343
T11-U Urban 0.0028684 0.5995293 0.1111111 4.375460 1.0698304 0.0e+00 0.3873571 2.935032
T12-U Urban 0.0031626 0.6160415 0.1000000 4.060301 1.0494662 -4.0e-06 0.3833486 3.099877
T16-U Urban 0.0025868 0.7166294 0.1250000 4.433679 1.2128118 -3.6e-06 0.5460477 3.115957
T17-U Urban 0.0033835 0.5843786 0.1250000 3.857009 0.9536722 -2.2e-06 0.3514823 2.837744
T24-U Urban 0.0033397 0.5426523 0.2000000 5.984190 0.8209181 -2.4e-06 0.1770609 2.806818
T26-U Urban 0.0012625 0.7028266 0.2000000 12.026144 1.0899208 -3.0e-07 0.1436211 2.724638
T29-U Urban 0.0025251 0.6734148 0.0909091 4.435220 1.0759797 -2.0e-06 0.4027884 3.038905
T31-U Urban 0.0019261 0.6424637 0.1250000 5.614880 0.9128312 -1.0e-06 0.2999499 2.845606
T33-U Urban 0.0020390 0.6144749 0.1666667 5.423800 0.8561531 -1.7e-06 0.2554399 2.634146
T34-U Urban 0.0017380 0.6625971 0.1428571 6.506812 1.0551371 -1.0e-07 0.2228080 2.909420
T35-U Urban 0.0052141 0.6054384 0.0833333 3.331298 1.0523146 -6.9e-06 0.4513504 2.929172
T45-U Urban 0.0020949 0.6091160 0.1111111 5.478261 0.9497143 5.0e-07 0.2520718 2.904509
T60-U Urban 0.0024826 0.6588967 0.0909091 4.652949 1.1260586 -1.4e-06 0.4015152 3.080477
T10-M Mountainous 0.0051331 0.6899662 0.1250000 3.420587 1.1944846 -8.0e-06 0.5641676 3.408059
T11-M Mountainous 0.0027537 0.6322242 0.0909091 4.575412 1.1644048 -3.6e-06 0.4021016 3.489362
T12-M Mountainous 0.0053221 0.7432041 0.0476190 3.987360 1.5402978 -8.2e-06 0.5940558 3.622099
T16-M Mountainous 0.0041011 0.6380527 0.1000000 3.581518 1.0861061 -4.1e-06 0.4965898 3.194402
T17-M Mountainous 0.0028810 0.5775025 0.1000000 4.296388 0.9333495 -2.3e-06 0.3093405 3.074875
T24-M Mountainous 0.0018943 0.6471487 0.1000000 6.184915 1.1303381 -1.0e-06 0.3187373 3.068627
T26-M Mountainous 0.0029205 0.6786658 0.0833333 4.551495 1.3179160 -3.3e-06 0.4686262 3.370546
T29-M Mountainous 0.0019917 0.6348668 0.1428571 5.451143 0.9146337 -2.1e-06 0.2859564 2.908867
T31-M Mountainous 0.0019290 0.7075000 0.1111111 5.431862 1.1153709 -2.3e-06 0.3700000 3.325843
T33-M Mountainous 0.0035523 0.6994298 0.1000000 4.158192 1.3804703 -5.2e-06 0.5585121 3.602452
T34-M Mountainous 0.0047877 0.6866256 0.0769231 4.453721 1.2829722 -8.8e-06 0.4658646 3.611714
T35-M Mountainous 0.0030064 0.7115816 0.1111111 4.073462 1.1974539 -4.7e-06 0.4469041 3.744624
T45-M Mountainous 0.0034664 0.6947691 0.0833333 3.998399 1.2623905 4.0e-07 0.4993044 3.221723
T60-M Mountainous 0.0031636 0.6216463 0.1000000 3.917387 0.9913849 6.4e-06 0.4243902 3.121076

RQA Plots


PCA analysis

Eigenvalues/variances
eigenvalue variance.percent cumulative.variance.percent
Dim.1 4.7494601 59.368251 59.36825
Dim.2 1.5054120 18.817650 78.18590
Dim.3 0.8528720 10.660900 88.84680
Dim.4 0.3132352 3.915440 92.76224
Dim.5 0.2533579 3.166973 95.92921
Dim.6 0.2122167 2.652709 98.58192
Dim.7 0.0807063 1.008829 99.59075
Dim.8 0.0327398 0.409247 100.00000

Coordinates of variables
Dim.1 Dim.2 Dim.3 Dim.4 Dim.5
REC 0.7430280 -0.4359079 0.3660445 0.1772369 0.2084344
DET 0.5820278 0.7572932 -0.0493805 0.2009271 -0.0692015
DIV -0.7953843 0.1811620 0.4322483 0.2352746 -0.2506783
Lmean -0.6424312 0.6780960 0.2318447 -0.0522034 0.2316912
ENTR 0.8533579 0.4439616 -0.0449985 -0.0176829 0.1637956
TREND -0.6757766 0.0250364 -0.6744289 0.1853040 0.0592626
LAM 0.9313287 -0.0877648 -0.1239588 0.2884090 -0.0672563
Vmean 0.8723487 0.2093754 -0.0600789 -0.2560102 -0.2318173
Contribution of variables
Dim.1 Dim.2 Dim.3 Dim.4 Dim.5
REC 11.624282 12.6221730 15.7102824 10.0285466 17.147638
DET 7.132523 38.0954211 0.2859089 12.8886188 1.890152
DIV 13.320172 2.1801130 21.9069901 17.6717484 24.802701
Lmean 8.689785 30.5440719 6.3024655 0.8700170 21.187744
ENTR 15.332684 13.0928870 0.2374168 0.0998245 10.589362
TREND 9.615281 0.0416379 53.3320702 10.9622305 1.386202
LAM 18.262562 0.5116651 1.8016524 26.5550446 1.785384
Vmean 16.022710 2.9120310 0.4232136 20.9239697 21.210817

## RQA descriptives Overall and by setting

metric setting mean sd q0 q25 q50 q75 q90 q95 q100
DET Mountainous 0.6687988 0.0445505 0.5775025 0.6356633 0.6826457 0.6982646 0.7103572 0.7226495 0.7432041
DET Overall 0.6520271 0.0484520 0.5426523 0.6156498 0.6530227 0.6911669 0.7087245 0.7148627 0.7432041
DET Urban 0.6352554 0.0478035 0.5426523 0.6063578 0.6292526 0.6644865 0.6940031 0.7076576 0.7166294
Dim.1 Mountainous 1.1212836 1.9942329 -2.1011367 -0.6954468 1.2971772 2.5419653 3.0602009 3.8313149 5.0861693
Dim.1 Overall 0.0000000 2.2193166 -4.3192438 -1.4117562 0.0135987 1.4699917 2.7765368 3.0442970 5.0861693
Dim.1 Urban -1.1212836 1.8827269 -4.3192438 -2.2833950 -1.0498720 0.0216294 1.1894108 1.4084413 1.6928641
Dim.2 Mountainous 0.1221144 0.8977582 -1.5480915 -0.3627101 0.2154565 0.8476908 0.9553766 1.1322241 1.4037162
Dim.2 Overall 0.0000000 1.2494671 -2.3118214 -1.0001806 0.0372260 0.7949278 1.0339460 1.3072466 3.9821538
Dim.2 Urban -0.1221144 1.5505928 -2.3118214 -1.0076567 -0.2061423 0.3947084 1.0877419 2.1270116 3.9821538
DIV Mountainous 0.0980141 0.0224772 0.0476190 0.0852273 0.1000000 0.1083333 0.1208333 0.1312500 0.1428571
DIV Overall 0.1116939 0.0343825 0.0476190 0.0909091 0.1000000 0.1250000 0.1500000 0.1883333 0.2000000
DIV Urban 0.1253736 0.0393314 0.0833333 0.0931818 0.1180556 0.1383929 0.1900000 0.2000000 0.2000000
ENTR Mountainous 1.1793981 0.1730848 0.9146337 1.0934223 1.1794447 1.2778268 1.3617040 1.4364099 1.5402978
ENTR Overall 1.1090003 0.1677911 0.8209181 0.9819567 1.0880135 1.2012934 1.3163131 1.3585763 1.5402978
ENTR Urban 1.0386024 0.1335699 0.8209181 0.9507038 1.0537258 1.0864355 1.1867858 1.2487968 1.3156262
LAM Mountainous 0.4431822 0.0974267 0.2859564 0.3780254 0.4563843 0.4986258 0.5624709 0.5746285 0.5940558
LAM Overall 0.3888100 0.1174475 0.1436211 0.3069928 0.4018084 0.4665550 0.5497870 0.5621882 0.5940558
LAM Urban 0.3344377 0.1130904 0.1436211 0.2529138 0.3674155 0.4024701 0.4381313 0.4844944 0.5460477
Lmean Mountainous 4.4344172 0.7728594 3.4205869 3.9901199 4.2272903 4.5694327 5.4453590 5.7079634 6.1849148
Lmean Overall 4.8811031 1.6297384 3.3312977 4.0448258 4.4344497 5.4366822 6.0444073 6.3941480 12.0261438
Lmean Urban 5.3277890 2.1188065 3.3312977 4.3838561 4.5440847 5.5807250 6.3500253 8.4385781 12.0261438
REC Mountainous 0.0033502 0.0011317 0.0018943 0.0027855 0.0030850 0.0039639 0.0050295 0.0051993 0.0053221
REC Overall 0.0030227 0.0010843 0.0012625 0.0020809 0.0029008 0.0034042 0.0048913 0.0051858 0.0053221
REC Urban 0.0026953 0.0009645 0.0012625 0.0020530 0.0025559 0.0031496 0.0033704 0.0040242 0.0052141
TREND Mountainous -0.0000033 0.0000039 -0.0000088 -0.0000051 -0.0000035 -0.0000021 0.0000000 0.0000025 0.0000064
TREND Overall -0.0000027 0.0000031 -0.0000088 -0.0000041 -0.0000023 -0.0000010 0.0000001 0.0000005 0.0000064
TREND Urban -0.0000021 0.0000020 -0.0000069 -0.0000033 -0.0000019 -0.0000005 0.0000000 0.0000002 0.0000005
Vmean Mountainous 3.3403050 0.2522222 2.9088670 3.1394078 3.3481945 3.5741793 3.6189837 3.6649829 3.7446237
Vmean Overall 3.1476398 0.3012633 2.6341463 2.9092820 3.0901768 3.3799245 3.6052304 3.6184644 3.7446237
Vmean Urban 2.9549746 0.2119768 2.6341463 2.8397098 2.9192960 3.0700839 3.1111332 3.2529424 3.5073431

Paired T test after log transformation for each variable for the 2 groups (alternative hypothesis: true difference in means is not equal to 0)

Paired - T test
metric estimate statistic p.value parameter conf.low conf.high method alternative
REC -0.0006528 -1.634197 0.1261890 13 -0.0015157 0.0002102 Paired t-test two.sided
DET -0.0203695 -1.969764 0.0705507 13 -0.0427100 0.0019711 Paired t-test two.sided
DIV 0.0242502 2.044181 0.0617409 13 -0.0013783 0.0498787 Paired t-test two.sided
Lmean 0.1231823 1.764756 0.1010702 13 -0.0276143 0.2739789 Paired t-test two.sided
ENTR -0.0658575 -2.294793 0.0390341 13 -0.1278573 -0.0038578 Paired t-test two.sided
TREND 0.0000012 1.211281 0.2473472 13 -0.0000010 0.0000035 Paired t-test two.sided
LAM -0.0795726 -2.839081 0.0139458 13 -0.1401226 -0.0190227 Paired t-test two.sided
Vmean -0.0926890 -4.271823 0.0009096 13 -0.1395641 -0.0458138 Paired t-test two.sided
Dim.1 -0.5047140 -2.884454 0.0127837 13 -0.8827295 -0.1266985 Paired t-test two.sided

Leptin,cortisol and adiponectin are adjusted for creatinine and then log transformed (Metrics are log transformed in a previous step)

Leptin models

Formula:leptin ~ Mesurment + SampleType + Age + (1 | ID)
Number of observations:56
p.values values for Metabolites (14 total models)
MesurmentName effect term estimate std.error statistic df p.value conf.low conf.high
Lmean fixed Mesurment -0.2088080 0.1372291 -1.5216018 49.29715 0.1344980 -0.4845382 0.0669221
DIV fixed Mesurment -0.1341712 0.1134301 -1.1828530 45.80048 0.2429714 -0.3625211 0.0941787
TREND fixed Mesurment 0.1474665 0.1356959 1.0867426 51.91942 0.2821703 -0.1248373 0.4197703
DET fixed Mesurment -0.1185685 0.1208984 -0.9807285 50.95352 0.3313605 -0.3612876 0.1241505
Dim.1 fixed Mesurment 0.0652513 0.1197252 0.5450089 45.53865 0.5884068 -0.1758090 0.3063116
Vmean fixed Mesurment -0.0383927 0.1107958 -0.3465181 45.13261 0.7305638 -0.2615287 0.1847433
LAM fixed Mesurment 0.0406760 0.1224171 0.3322740 47.60100 0.7411412 -0.2055133 0.2868653
ENTR fixed Mesurment 0.0200383 0.1169888 0.1712842 48.56722 0.8647120 -0.2151124 0.2551891
REC fixed Mesurment 0.0069768 0.1237264 0.0563888 48.98788 0.9552615 -0.2416622 0.2556158

Adiponectin models

Formula:adiponectin ~ Mesurment + SampleType + Age + (1 | ID)
Number of observations:56
p.values values for Metabolites (14 total models)
MesurmentName effect term estimate std.error statistic df p.value conf.low conf.high
Lmean fixed Mesurment -0.3142429 0.1408483 -2.2310742 50.71038 0.0301264 -0.5970468 -0.0314390
DIV fixed Mesurment -0.2202148 0.1174042 -1.8756980 46.71292 0.0669541 -0.4564398 0.0160103
REC fixed Mesurment 0.1997830 0.1269095 1.5742169 49.98873 0.1217458 -0.0551236 0.4546896
Dim.1 fixed Mesurment 0.1661310 0.1246517 1.3327610 46.42925 0.1891140 -0.0847174 0.4169793
LAM fixed Mesurment 0.1634453 0.1270541 1.2864232 48.78264 0.2043673 -0.0919082 0.4187988
DET fixed Mesurment -0.1021333 0.1269768 -0.8043466 51.91558 0.4248649 -0.3569408 0.1526741
ENTR fixed Mesurment 0.0853971 0.1224216 0.6975662 49.54486 0.4887093 -0.1605498 0.3313441
Vmean fixed Mesurment 0.0741134 0.1166492 0.6353530 45.82808 0.5283581 -0.1607130 0.3089398
TREND fixed Mesurment 0.0786865 0.1423683 0.5526969 51.69590 0.5828531 -0.2070364 0.3644095

Cortisol models

Formula:cortisol ~ Mesurment + SampleType + Age + (1 | ID)
Number of observations:56
p.values values for Metabolites (14 total models)
MesurmentName effect term estimate std.error statistic df p.value conf.low conf.high
DIV fixed Mesurment 0.1924551 0.1200615 1.6029704 51.63207 0.1150419 -0.0485069 0.4334170
ENTR fixed Mesurment -0.1139453 0.1202555 -0.9475266 51.86215 0.3477648 -0.3552708 0.1273803
Vmean fixed Mesurment -0.0838622 0.1184650 -0.7079069 50.48114 0.4822589 -0.3217499 0.1540256
Dim.1 fixed Mesurment -0.0787399 0.1279281 -0.6155012 50.84922 0.5409690 -0.3355847 0.1781050
TREND fixed Mesurment 0.0563030 0.1343897 0.4189531 44.21054 0.6772790 -0.2145053 0.3271113
DET fixed Mesurment -0.0463371 0.1226586 -0.3777726 48.84782 0.7072361 -0.2928482 0.2001740
Lmean fixed Mesurment -0.0443880 0.1438255 -0.3086242 51.46723 0.7588532 -0.3330660 0.2442900
LAM fixed Mesurment 0.0088958 0.1282390 0.0693688 51.99369 0.9449621 -0.2484354 0.2662270
REC fixed Mesurment -0.0011286 0.1274324 -0.0088562 51.32678 0.9929682 -0.2569202 0.2546630

Metrics ~ setting models

Formula:Mesurment ~ setting + Age + Sex
Number of observations:57
MesurmentName term estimate std.error statistic p.value conf.low conf.high
Vmean settingMountainous 1.2508206 0.2040879 6.128834 0.0000001 0.8508158 1.6508255
Dim.1 settingMountainous 0.9285503 0.2144415 4.330087 0.0000666 0.5082527 1.3488478
LAM settingMountainous 0.8821916 0.2229937 3.956128 0.0002277 0.4451319 1.3192512
DIV settingMountainous -0.7509147 0.2382505 -3.151786 0.0026695 -1.2178771 -0.2839523
ENTR settingMountainous 0.7851442 0.2491699 3.151039 0.0026752 0.2967801 1.2735082
DET settingMountainous 0.6797367 0.2556364 2.658998 0.0103411 0.1786986 1.1807747
Lmean settingMountainous -0.5369285 0.2161210 -2.484388 0.0161713 -0.9605179 -0.1133391
REC settingMountainous 0.5601171 0.2481667 2.257020 0.0281535 0.0737194 1.0465148
TREND settingMountainous -0.3839562 0.2450466 -1.566870 0.1230968 -0.8642386 0.0963263
RQA analysis personal air temperature

RQA analysis personal air temperature

First urban
(N=6)		 First mountainous
(N=9)		 Overall
(N=15)		 P-value
Age
Mean (SD) 40.0 (8.29) 43.1 (11.2) 41.9 (9.93) 0.548
Median [Min, Max] 38.0 [32.0, 56.0] 40.0 [29.0, 60.0] 38.0 [29.0, 60.0]
Sex
Female 5 (83.3%) 5 (55.6%) 10 (66.7%) 0.58
Male 1 (16.7%) 4 (44.4%) 5 (33.3%)
BMI
Mean (SD) 24.8 (3.70) 24.3 (2.37) 24.5 (2.86) 0.753
Median [Min, Max] 25.0 [19.4, 30.1] 24.1 [21.0, 28.1] 24.2 [19.4, 30.1]
BMIcat
underweight 0 (0%) 0 (0%) 0 (0%) 1
normal weight 4 (66.7%) 6 (66.7%) 10 (66.7%)
overweight 2 (33.3%) 3 (33.3%) 5 (33.3%)
education_level
Secondary 2 (33.3%) 2 (22.2%) 4 (26.7%) 0.664
University/college 2 (33.3%) 2 (22.2%) 4 (26.7%)
Master/PhD 2 (33.3%) 5 (55.6%) 7 (46.7%)
Smoking_status
Smoker 1 (16.7%) 1 (11.1%) 2 (13.3%) 1
Non-smoker 4 (66.7%) 7 (77.8%) 11 (73.3%)
Former smoker 1 (16.7%) 1 (11.1%) 2 (13.3%)
alcohol_freq
Weekly 2 (33.3%) 3 (33.3%) 5 (33.3%) 1
Monthly 1 (16.7%) 2 (22.2%) 3 (20.0%)
Rarely/Never 3 (50.0%) 4 (44.4%) 7 (46.7%)
Physical_exercise
Yes 1 (16.7%) 7 (77.8%) 8 (53.3%) 0.0406
No 5 (83.3%) 2 (22.2%) 7 (46.7%)
screen_hours_day
Mean (SD) 6.67 (3.72) 5.06 (4.38) 5.70 (4.07) 0.459
Median [Min, Max] 8.00 [2.00, 10.0] 4.00 [0.500, 14.0] 4.00 [0.500, 14.0]
days_mountain
Mean (SD) 7.00 (1.26) 8.78 (4.47) 8.07 (3.58) 0.286
Median [Min, Max] 7.50 [5.00, 8.00] 6.00 [5.00, 15.0] 7.00 [5.00, 15.0]
washout_days
Mean (SD) 14.3 (8.87) 15.8 (9.22) 15.2 (8.78) 0.767
Median [Min, Max] 15.0 [2.00, 28.0] 14.0 [5.00, 30.0] 15.0 [2.00, 30.0]

RQA analysis Settings: time.lag=1, radius = 0.1
ID setting REC DET DIV Lmean ENTR TREND LAM Vmean
T10-U Urban 0.0906154 0.9867376 0.0015528 18.229083 3.214731 -0.0001261 0.9871953 23.137583
T11-U Urban 0.0620824 0.9384933 0.0023095 15.531045 2.677008 -0.0000421 0.9392701 21.877329
T12-U Urban 0.0938927 0.9635432 0.0024510 31.747842 2.645197 -0.0001185 0.9669382 39.171660
T16-U Urban 0.0354417 0.9132423 0.0025510 8.874256 2.460251 -0.0000030 0.9211071 11.469671
T17-U Urban 0.1965548 0.9915893 0.0006949 22.209595 3.564735 -0.0001608 0.9896436 31.003459
T18-U Urban 0.0627913 0.9736414 0.0031153 8.925720 2.756333 -0.0001199 0.9766213 10.373634
T19-U Urban 0.0737664 0.9784129 0.0023256 19.273664 3.513661 0.0000748 0.9809691 26.027927
T24-U Urban 0.0258567 0.9103406 0.0028986 7.706114 2.328397 -0.0000744 0.9129503 7.587529
T26-U Urban 0.0093528 0.7821036 0.0117647 5.030555 1.912337 -0.0000012 0.7445139 5.505536
T29-U Urban 0.0395120 0.9669238 0.0022624 12.082050 2.724401 -0.0000115 0.9765171 15.599142
T35-U Urban 0.0297049 0.9164556 0.0023697 6.838280 2.218178 -0.0000177 0.9463114 7.917550
T37-U Urban 0.0480623 0.9362244 0.0021097 10.068631 2.700193 -0.0000022 0.9490678 14.370404
T42-U Urban 0.2210050 0.9892117 0.0006949 40.156967 3.920029 -0.0003904 0.9888561 51.484776
T45-U Urban 0.1151100 0.9841050 0.0011737 19.089638 3.319851 -0.0001741 0.9895095 21.171388
T60-U Urban 0.0560407 0.9840112 0.0013459 15.215968 3.412501 -0.0000867 0.9831936 20.552797
T10-M Mountainous 0.1105295 0.9887955 0.0009183 25.500844 3.925029 -0.0001841 0.9866576 33.338641
T11-M Mountainous 0.0336169 0.9230791 0.0021598 14.508681 2.872387 -0.0000173 0.9311844 19.954196
T12-M Mountainous 0.0170968 0.7758095 0.0149254 4.127870 1.713220 -0.0000123 0.7655421 4.290231
T16-M Mountainous 0.0358738 0.9760445 0.0020000 12.143502 2.743602 -0.0000479 0.9819729 15.499045
T17-M Mountainous 0.0248910 0.9495873 0.0018657 8.194616 2.599844 -0.0000267 0.9517960 9.578085
T18-M Mountainous 0.0241368 0.9182817 0.0023364 9.447071 2.546988 -0.0000281 0.9162837 12.027275
T19-M Mountainous 0.0139477 0.8754581 0.0027548 7.822057 2.117364 -0.0000201 0.8405020 7.928571
T24-M Mountainous 0.0206491 0.9499743 0.0025316 8.836846 2.644220 -0.0000024 0.9611145 10.181346
T26-M Mountainous 0.0308623 0.8883368 0.0019763 6.988322 2.165585 -0.0000457 0.9082599 9.073525
T29-M Mountainous 0.0795774 0.9897200 0.0003789 33.007574 4.112917 0.0000081 0.9884785 42.787535
T35-M Mountainous 0.0968094 0.9896585 0.0016420 26.137087 3.817988 0.0001192 0.9879897 34.728244
T37-M Mountainous 0.0425974 0.9208876 0.0020704 9.865616 2.284902 -0.0000274 0.9363523 14.128459
T42-M Mountainous 0.1130382 0.9922183 0.0008475 19.677807 3.761089 -0.0001835 0.9899572 26.290732
T45-M Mountainous 0.1322695 0.9894120 0.0018904 23.030637 3.816057 -0.0001246 0.9861161 31.045225
T60-M Mountainous 0.0443808 0.9708350 0.0010246 13.871138 3.117764 0.0001469 0.9726714 18.683573

RQA Plots


PCA analysis

Eigenvalues/variances
eigenvalue variance.percent cumulative.variance.percent
Dim.1 5.5368563 69.2107037 69.21070
Dim.2 1.3423865 16.7798317 85.99054
Dim.3 0.6789219 8.4865233 94.47706
Dim.4 0.2092409 2.6155111 97.09257
Dim.5 0.1124820 1.4060249 98.49859
Dim.6 0.1042929 1.3036619 99.80226
Dim.7 0.0120282 0.1503528 99.95261
Dim.8 0.0037912 0.0473906 100.00000

Coordinates of variables
Dim.1 Dim.2 Dim.3 Dim.4 Dim.5
REC 0.8550617 0.4169904 -0.0689137 0.1382943 -0.2563787
DET 0.9011659 -0.3912198 -0.0837199 0.1027371 0.0703060
DIV -0.7432210 0.5489403 0.2311892 0.2424873 0.1256777
Lmean 0.8886173 0.2975787 0.2845661 -0.1815139 0.0661551
ENTR 0.9171882 -0.0175699 0.2264559 0.2398384 0.0522549
TREND -0.5198445 -0.5869994 0.6067968 0.0282808 -0.1175434
LAM 0.8577871 -0.4560979 -0.1346831 0.0747107 0.0655875
Vmean 0.8968482 0.2695585 0.3084044 -0.1546264 0.0280874
Contribution of variables
Dim.1 Dim.2 Dim.3 Dim.4 Dim.5
REC 13.204793 12.9531264 0.6995056 9.1403388 58.4360682
DET 14.667168 11.4015532 1.0323746 5.0443802 4.3944173
DIV 9.976372 22.4477374 7.8725506 28.1016181 14.0421354
Lmean 14.261534 6.5966917 11.9274188 15.7461151 3.8908371
ENTR 15.193353 0.0229963 7.5534901 27.4910161 2.4275620
TREND 4.880717 25.6683367 54.2333846 0.3822402 12.2832633
LAM 13.289107 15.4966764 2.6718143 2.6675870 3.8243597
Vmean 14.526955 5.4128819 14.0094614 11.4267046 0.7013569

## RQA descriptives Overall and by setting

metric setting mean sd q0 q25 q50 q75 q90 q95 q100
DET Mountainous 0.9398732 0.0596688 0.7758095 0.9195846 0.9499743 0.9891038 0.9896954 0.9904695 0.9922183
DET Overall 0.9437711 0.0561871 0.7758095 0.9189332 0.9652335 0.9860795 0.9896646 0.9907481 0.9922183
DET Urban 0.9476691 0.0542823 0.7821036 0.9263400 0.9669238 0.9840581 0.9882221 0.9899250 0.9915893
Dim.1 Mountainous -0.2223350 2.4070502 -5.6969209 -1.3007470 -0.5625083 2.1381831 2.6716312 2.8510664 2.9692601
Dim.1 Overall 0.0000000 2.3932786 -5.6969209 -1.3571631 -0.2009900 1.7646034 2.8172967 2.9827842 5.2895124
Dim.1 Urban 0.2223350 2.4423092 -5.3262443 -1.1363372 -0.1765867 1.5650370 2.5052882 3.6825483 5.2895124
Dim.2 Mountainous -0.1911245 1.1076691 -1.8502471 -0.8852321 -0.3106262 0.2263416 0.6316591 1.3614842 2.9658994
Dim.2 Overall 0.0000000 1.1784209 -1.8502471 -0.7805950 -0.2915102 0.3224085 1.2188518 2.7536407 3.2240891
Dim.2 Urban 0.1911245 1.2535295 -0.9949641 -0.6714837 -0.1936806 0.6278377 1.9273860 2.7131761 3.2240891
DIV Mountainous 0.0026215 0.0034693 0.0003789 0.0013333 0.0019763 0.0022481 0.0026656 0.0064060 0.0149254
DIV Overall 0.0026314 0.0030251 0.0003789 0.0013976 0.0020900 0.0024307 0.0029202 0.0078725 0.0149254
DIV Urban 0.0026413 0.0026305 0.0006949 0.0014493 0.0023095 0.0025010 0.0030286 0.0057101 0.0117647
ENTR Mountainous 2.9492636 0.7653310 1.7132196 2.4159449 2.7436021 3.7885725 3.8822131 3.9813957 4.1129167
ENTR Overall 2.9202252 0.6640469 1.7132196 2.4819352 2.7340018 3.4883707 3.8281924 3.9227793 4.1129167
ENTR Urban 2.8911868 0.5708547 1.9123368 2.5527241 2.7244015 3.3661758 3.5443054 3.6713233 3.9200289
LAM Mountainous 0.9403252 0.0637301 0.7655421 0.9237340 0.9611145 0.9863868 0.9882830 0.9889221 0.9899572
LAM Overall 0.9452514 0.0621278 0.7445139 0.9324764 0.9698048 0.9865222 0.9889214 0.9895833 0.9899572
LAM Urban 0.9501776 0.0623050 0.7445139 0.9427908 0.9765171 0.9851945 0.9892481 0.9895497 0.9896436
Lmean Mountainous 14.8773112 8.5765685 4.1278703 8.5157309 12.1435023 21.3542221 25.8825899 28.1982332 33.0075738
Lmean Overall 15.4713025 9.0227921 4.1278703 8.8461982 13.0073201 19.5767712 26.6981627 32.4406946 40.1569670
Lmean Urban 16.0652938 9.7120044 5.0305546 8.8999881 15.2159681 19.1816511 27.9325434 34.2705797 40.1569670
REC Mountainous 0.0546851 0.0401839 0.0139477 0.0245139 0.0358738 0.0881934 0.1120347 0.1188076 0.1322695
REC Overall 0.0660022 0.0517533 0.0093528 0.0299942 0.0462215 0.0930734 0.1168259 0.1676264 0.2210050
REC Urban 0.0773193 0.0604891 0.0093528 0.0374769 0.0620824 0.0922541 0.1639769 0.2038899 0.2210050
TREND Mountainous -0.0000297 0.0000899 -0.0001841 -0.0000468 -0.0000267 -0.0000074 0.0000747 0.0001275 0.0001469
TREND Overall -0.0000567 0.0001024 -0.0003904 -0.0001196 -0.0000277 -0.0000051 0.0000148 0.0000992 0.0001469
TREND Urban -0.0000836 0.0001099 -0.0003904 -0.0001230 -0.0000744 -0.0000072 -0.0000016 0.0000216 0.0000748
Vmean Mountainous 19.3023123 11.6660081 4.2902308 9.8797156 15.4990452 28.6679785 34.1724025 37.1460312 42.7875352
Vmean Overall 19.8928357 11.9917177 4.2902308 10.2294178 17.1413577 26.2250307 35.1725854 41.1603916 51.4847762
Vmean Urban 20.4833591 12.6898034 5.5055365 10.9216524 20.5527973 24.5827549 35.9043798 42.8655952 51.4847762

Paired T test after log transformation for each variable for the 2 groups (alternative hypothesis: true difference in means is not equal to 0)

Paired - T test
metric estimate statistic p.value parameter conf.low conf.high method alternative
REC 0.0204912 1.4229681 0.1766458 14 -0.0103944 0.0513767 Paired t-test two.sided
DET 0.0040894 0.4138454 0.6852574 14 -0.0171043 0.0252832 Paired t-test two.sided
DIV 0.0000221 0.0200802 0.9842628 14 -0.0023421 0.0023864 Paired t-test two.sided
Lmean 0.0687919 0.3487547 0.7324628 14 -0.3542673 0.4918511 Paired t-test two.sided
ENTR -0.0072113 -0.1320289 0.8968402 14 -0.1243574 0.1099349 Paired t-test two.sided
TREND -0.0000539 -2.1169674 0.0526522 14 -0.0001084 0.0000007 Paired t-test two.sided
LAM 0.0050832 0.4383629 0.6678117 14 -0.0197874 0.0299538 Paired t-test two.sided
Vmean 0.0596424 0.2675238 0.7929668 14 -0.4185214 0.5378062 Paired t-test two.sided
Dim.1 0.0858369 0.4557899 0.6555307 14 -0.3180813 0.4897551 Paired t-test two.sided

Leptin,cortisol and adiponectin are adjusted for creatinine and then log transformed (Metrics are log transformed in a previous step)

Leptin models

Formula:leptin ~ Mesurment + SampleType + Age + (1 | ID)
Number of observations:60
p.values values for Metabolites (14 total models)
MesurmentName effect term estimate std.error statistic df p.value conf.low conf.high
LAM fixed Mesurment 0.2087057 0.1219579 1.7112928 55.92549 0.0925687 -0.0356125 0.4530239
TREND fixed Mesurment -0.2571623 0.1509135 -1.7040372 53.83889 0.0941399 -0.5597464 0.0454219
DET fixed Mesurment 0.2105845 0.1262688 1.6677483 55.90719 0.1009582 -0.0423715 0.4635406
Dim.1 fixed Mesurment 0.1336580 0.1226541 1.0897156 55.53002 0.2805449 -0.1120935 0.3794096
DIV fixed Mesurment -0.1088072 0.1210671 -0.8987340 55.34097 0.3726882 -0.3513975 0.1337832
REC fixed Mesurment 0.1178744 0.1377325 0.8558207 55.66487 0.3957659 -0.1580737 0.3938224
ENTR fixed Mesurment -0.0526780 0.1360764 -0.3871207 55.80136 0.7001394 -0.3252932 0.2199372
Vmean fixed Mesurment 0.0267850 0.1239815 0.2160404 54.75232 0.8297591 -0.2217047 0.2752747
Lmean fixed Mesurment 0.0105629 0.1258745 0.0839164 55.01920 0.9334275 -0.2416932 0.2628191

Adiponectin models

Formula:adiponectin ~ Mesurment + SampleType + Age + (1 | ID)
Number of observations:60
p.values values for Metabolites (14 total models)
MesurmentName effect term estimate std.error statistic df p.value conf.low conf.high
LAM fixed Mesurment 0.2078839 0.1274885 1.6306086 54.93696 0.1086936 -0.0476154 0.4633832
DET fixed Mesurment 0.2117652 0.1309851 1.6167123 53.08482 0.1118683 -0.0509478 0.4744782
Dim.1 fixed Mesurment 0.1205603 0.1288743 0.9354876 55.84094 0.3535651 -0.1376222 0.3787428
DIV fixed Mesurment -0.1103397 0.1270831 -0.8682485 55.96513 0.3889664 -0.3649212 0.1442418
REC fixed Mesurment 0.0640159 0.1433105 0.4466937 52.47101 0.6569345 -0.2234962 0.3515280
ENTR fixed Mesurment 0.0605180 0.1404926 0.4307557 52.28497 0.6684166 -0.2213645 0.3424004
TREND fixed Mesurment -0.0523245 0.1584376 -0.3302534 48.21072 0.7426394 -0.3708487 0.2661996
Vmean fixed Mesurment 0.0251200 0.1304386 0.1925808 55.90310 0.8479852 -0.2361900 0.2864300
Lmean fixed Mesurment 0.0056902 0.1322686 0.0430202 55.96965 0.9658385 -0.2592788 0.2706593

Cortisol models

Formula:cortisol ~ Mesurment + SampleType + Age + (1 | ID)
Number of observations:60
p.values values for Metabolites (14 total models)
MesurmentName effect term estimate std.error statistic df p.value conf.low conf.high
DIV fixed Mesurment -0.1567154 0.1152423 -1.3598775 46.51265 0.1804242 -0.3886172 0.0751863
Dim.1 fixed Mesurment 0.1324428 0.1171310 1.1307236 45.56476 0.2640882 -0.1033905 0.3682760
Lmean fixed Mesurment 0.1222050 0.1213800 1.0067971 49.01239 0.3189771 -0.1217156 0.3661256
Vmean fixed Mesurment 0.1193946 0.1202125 0.9931960 49.87494 0.3254087 -0.1220743 0.3608635
REC fixed Mesurment 0.1181171 0.1262031 0.9359284 38.41459 0.3551569 -0.1372773 0.3735115
ENTR fixed Mesurment 0.1045907 0.1226674 0.8526370 36.60289 0.3994055 -0.1440480 0.3532295
LAM fixed Mesurment 0.0991907 0.1169938 0.8478281 42.48367 0.4012852 -0.1368329 0.3352142
DET fixed Mesurment 0.0946983 0.1186779 0.7979436 39.11713 0.4297209 -0.1453275 0.3347241
TREND fixed Mesurment -0.0978420 0.1334524 -0.7331601 29.58670 0.4692304 -0.3705478 0.1748639

Metrics ~ setting models

Formula:Mesurment ~ setting + Age + Sex
Number of observations:62
MesurmentName term estimate std.error statistic p.value conf.low conf.high
TREND settingMountainous 0.5611994 0.2198518 2.5526260 0.0133460 0.1302978 0.9921010
REC settingMountainous -0.4693247 0.2477765 -1.8941453 0.0631958 -0.9549576 0.0163083
Dim.1 settingMountainous -0.1651980 0.2546411 -0.6487484 0.5190616 -0.6642854 0.3338894
LAM settingMountainous -0.1495309 0.2566789 -0.5825601 0.5624475 -0.6526123 0.3535505
DET settingMountainous -0.1293282 0.2547592 -0.5076489 0.6136247 -0.6286472 0.3699907
Lmean settingMountainous -0.1267240 0.2587988 -0.4896622 0.6262199 -0.6339604 0.3805124
Vmean settingMountainous -0.1032547 0.2598492 -0.3973640 0.6925577 -0.6125498 0.4060403
ENTR settingMountainous 0.0594521 0.2567920 0.2315185 0.8177269 -0.4438510 0.5627552
DIV settingMountainous -0.0165348 0.2562612 -0.0645232 0.9487755 -0.5187976 0.4857280