Replication data for: Correlations between modest weight loss and leptin to adiponectin ratio, insulin and leptin resensitization in a small cohort of Norwegian individuals with obesity.doi:10.18710/KRYLXNDataverseNO2019-12-091Isaksen, Victoria Therese; Larsen, Maria Arlén; Goll, Rasmus; Paulssen, Eyvind Jakob; Florholmen, Jon, 2019, "Replication data for: Correlations between modest weight loss and leptin to adiponectin ratio, insulin and leptin resensitization in a small cohort of Norwegian individuals with obesity.", https://doi.org/10.18710/KRYLXN, DataverseNO, V1, UNF:6:jqe2N2oiEVuuNxiHYG+8AA== [fileUNF]Replication data for: Correlations between modest weight loss and leptin to adiponectin ratio, insulin and leptin resensitization in a small cohort of Norwegian individuals with obesity.Improvement of metabolic dysregulation with 5% weight lossdoi:10.18710/KRYLXNIsaksen, Victoria ThereseLarsen, Maria ArlénGoll, RasmusPaulssen, Eyvind JakobFlorholmen, JonFlorholmen, JonResearch Group for Gastroenterology and NutritionIsaksen, Victoria ThereseLarsen, Maria ArlénMoen, Odd SverreRemijn, MarianWilsgaard, LineUiT Medical Students Research ProgramUiT The Arctic University of NorwayIBM SPSS for WindowsMicrosoft ExcelGraph Pad PrismDataverseNOUiT The Arctic University of NorwayIsaksen, Victoria ThereseIsaksen, Victoria Therese2018-09-27Medicine, Health and Life SciencesObesityMetabolic syndromeWeight lossPostprandial triglyceridaemiaLeptin resistanceAdipokinesThe present dataset is the basis of the results presented in "Modest weight loss improves leptin to adiponectin ratio and induces insulin and leptin resensitivization in individuals with obesity." (manuscript submitted 2019, December). Please read the accompanying ReadMe file for a further description of variables.<p>Abstract: Background: Identifying patients at the highest risk of adverse consequences of obesity is of great importance in order to better monitor the effects of treatment. This study aims to investigate whether dysregulated adipokines and postprandial triglycerides (TG) improve with modest weight loss.</p> <p>Methods: Individuals with obesity were recruited by posters, among patients at the University Hospital of North Norway and the Stamina Health weight loss program. We calculated the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR), leptin to adiponectin (L:A) ratio, indirect leptin sensitivity (REE:leptin ratio), postprandial TG clearance at 6 h and TG response from samples collected at visits before and after weight loss. The weight loss goal was ≥5% of initial total weight.</p> <p>Results: Twenty-eight participants attended both assessments, of which 13 lost ≥5% body weight. Of these, five lost ≥10% body weight. HOMA-IR (-23.1%), REE:leptin ratio (+80.1%) and L:A ratio (-45.7%) significantly improved with a weight loss ≥5%, whereas there was no improvement of postprandial TG response or clearance. Participants with ≥5% weight loss improved their L:A ratio over cut-off values ≥1.88 and ≥2.2 significantly, and participants with ≥10% weight loss improved their L:A ratio over the cut-off value ≥3.65 significantly. Participants with ≥10% weight loss also improved their HOMA-IR over cut-off value ≥2.3 significantly.</p> <p>Conclusion: Metabolic dysregulation measured by the surrogate biomarkers HOMA-IR, REE:leptin ratio and L:A ratio, but not postprandial TG, improve with a modest weight loss of ≥ 5%. Further improvements in these biomarkers are seen in weight loss of ≥10%.</p><p>To measure postprandial TG response (TGR) and TG clearance, we performed an Oral Fat Tolerance Test (OFTT). Participants had their regular diet and abstained from vigorous exercise three days before the test, and showed up at 08:00 am after a 12 h overnight fast. Fasting blood samples were drawn, and a meal of sour cream porridge was served, containing 1 g of fat per kg of body weight (28). The participants ingested the meal within 30 minutes, and blood samples were drawn from the antecubital vein in a seated position at baseline and 2, 4, 6 and 8 h postprandially.</p> <p></p> <p>We calculated TG clearance in per cent of the peak value at 6 and 8 h, in addition to the TGR, defined as the average of the two highest postprandial TG concentrations, minus the baseline concentration. The formula for calculating TG clearances (28) at time X was as follows: Clearance Xh =100×(1- ([TG]X -[TG]0h)/([TG]max -[TG]0h ))</p> <p></p> <p>We performed a 2 h Oral Glucose Tolerance Test (OGTT) on a separate day. Preparations for the OGTT were the same as for the OFTT and was conducted by oral intake of 75 g glucose, dissolved in water. We collected blood samples in both the fasting state and 30, 60, 90 and 120 minutes after glucose intake, in which serum glucose and serum insulin were measured using ELISA kits (DRG Insulin Elisa kit, DRG Instruments GmbH, Germany). We determined insulin sensitivity by calculation of the HOMA1-IR.</p> <p></p> <p>Both s-leptin and free s-adiponectin were analysed from frozen serum drawn at all sample times, both during OFTT and OGTT, using ELISA kits (DRG Diagnostics, Marburg, Germany) for s-leptin (sandwich ref. EIA-2395) and s-adiponectin (human, ref. EIA-4574), respectively.</p> <p></p> <p>Leptin sensitivity was calculated as the ratio of Resting Energy Expenditure (REE) to fasting serum leptin. We performed REE measurements by a canopy test with an indirect calorimetry device from Medical Graphics CPX metabolic cart (St Paul, MN, USA). The test protocol is described by Larsen et al. Leptin to adiponectin ratio – A surrogate biomarker for early detection of metabolic disturbances in obesity. Nutrition, Metabolism and Cardiovascular Diseases. 2018. After the completion of REE measurement, the OGTT was performed.</p> <p></p> <p>We used parametric tests on raw or transformed variables that resembled a normal distribution visually or by skewness/kurtosis. Otherwise, non-parametric tests were performed.</p><a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>Hepatic Steatosis detected by Hepatorenal Index in Ultrasonography as a Predictor of Insulin Resistance. https://doi.org/10.18710/RFTJKLVictoria T. Isaksen, Maria A. Larsen, Rasmus Goll, Eyvind J. Paulssen, Jon R. Florholmen, Correlations between modest weight loss and leptin to adiponectin ratio, insulin and leptin resensitization in a small cohort of Norwegian individuals with obesity, Endocrine and Metabolic Science, 2023, 100134, ISSN 2666-3961,10.1016/j.endmts.2023.100134Victoria T. Isaksen, Maria A. Larsen, Rasmus Goll, Eyvind J. Paulssen, Jon R. Florholmen, Correlations between modest weight loss and leptin to adiponectin ratio, insulin and leptin resensitization in a small cohort of Norwegian individuals with obesity, Endocrine and Metabolic Science, 2023, 100134, ISSN 2666-3961,Metabolic_changes_after_weight_loss.tab67337text/tab-separated-valuesUNF:6:jqe2N2oiEVuuNxiHYG+8AA==Original dataset in SPSS67.0.42.9552238805970.045.082.025.4400262267713661.0UNF:6:A9nvOZ+hohBOFbpJIONK2Q==Group NW Controls, Healthy Obese, Unhealthy Obese1.00.9701492537313438.67.00.00.02.00.695660777088760Normal weight2Metabolically dysregulated obese1Healthy obeseUNF:6:Ool709qQY5CNvE6yvEw68g==Normal weight/obese group67.00.43842982860290661.01.0.0.00.74626865671641770.00Normal weight1ObeseUNF:6:UJJAWMGJ0Zxp/5KEiTaNAQ==Attended visit 20.49693770511803420.00.5820895522388060.0.67.01.01.01No0YesUNF:6:YSFb5qxPuhMmgr3/7navyg==Leptin to Adiponectin Ratio (OFTT values)3.012.3333333333333344.157771910665184.3.45718954248366030.1458457860131500164.03.244622666749325UNF:6:D5oiwI0vVRGKVXWyRsb/sA==Leptin to Adiponectin Ratio (OGTT values)4.063.014.9206349206349210.18648648648648652.769230769230769.4.24600590693118553.550450584594709UNF:6:JqzBkbrPuwWo/tOGoKeqTA==Leptin to Adiponectin ratio visit 2, OFTT values11.1267605633802822.58635230226281141.00.64171122994652412.671271997530102.26.03.6887278197246207UNF:6:tExJrHEcRJ6ZMTPq92fIkw==Leptin to Adiponectin ratio visit 2, OGTT values2.5799549549549550.98496240601503752.77638106219209413.5686274509803943.63704751056247426.041.0.UNF:6:Thtvu0Y8TYV0Fc1C3e+HjA==Baseline Area Under Curve of s-Triglycerides7.863928571428572.28.00.866.465.42407141005496639.024.1UNF:6:H134rk/f+CkE2lobykELgw==Area Under Curve of s-Triglycerides, visit 214.427.040.05.04.6.0129629629629630.863.8212601775761548UNF:6:i+npATTB70zCa4r9vjV9uA==Baseline Indirect leptin resistence (REE/fasting leptin OGTT)61.0550.60606060606066.091.1387180903434286.4715555946634366.55202063628546.15.65UNF:6:v9V4d/XoBj7EOR4giPm3xA==Baseline Indirect leptin resistence (REE/fasting leptin OFTT)62.015.0119904076738653.78906807478236496.08911806008982626.55172413793191.66452303561007.5.0UNF:6:u6LOjvtmh490WQr3+Yj/Aw==Indirect leptin resistance visit 2 (REE/fasting leptin OGTT)45.4203647879107.235.026.087.6948044148708280.1226211149307241.028.078034682080922UNF:6:UXYvUfdWIjs9o+m6VcZiYg==Indirect leptin resistance visit 2 (REE/fasting leptin OGTT)42.076.40287769784173.147.3737373737373681.8025965914656625.028.07803468208092234.76616228727527UNF:6:zO25dzkGz4nrsZ+gPxwobg==Indirect leptin resistance visit 2 (REE/fasting leptin OFTT)72.9621452961262224.5949367088607641.045.172373468634824201.4285714285714484.2402519357842426.0.UNF:6:QFqsvIn4YWmESQXl1WrqjQ==Group Weightloss 5% from baseline0.01.0.0.507874500183370139.00.53571428571428581.028.00Weightloss1No weightlossUNF:6:cCD9oe9rg7GSVfa1EUl7Wg==Weight loss category0.00.028.039.00.64285714285714292.0.0.78004205557495962>10%15-9.9%0<5%UNF:6:UqcUaOZeP0gYRtgeYRCPiw==Weight loss >=10%0.178571428571428550.00.039.00.39002102778747977.1.028.01>=10%0<10%UNF:6:U/TpLONanksF6rYHH+fPGw==28.07.71526694473086431.377777777777776.4.296934865900384539.05.868147604433537-5.220588235294113UNF:6:SpOn9eXdudbzmtUpxh3GIA==Group Weightloss 0% from baseline.0.00.356044487062609550.51.022.045.00.32222222222222221Weight gain0Weight loss/stableUNF:6:Z9LH6BujCbcOi3Fptkdw5w==Group No. of clinical metabolic conditions, incl obesity, excl hypothyreosis0.98058954567048380.0.1.08955223880596930.067.04.01.0UNF:6:1cNtU84NgELi+oBSK5zNyw==Group Clinical parameters for metabolic syndrome2.00.69566077708876.0.01.00.067.00.97014925373134382Obese with 2 or more signs for metabolic syndrome1Obese healthy0Normalweight healthyUNF:6:Ool709qQY5CNvE6yvEw68g==Group Indirect leptin resistance (OFTT values) cut-off <114.562.00.01.35042152182969823.02.43548387096774074.05.0.2No leptin resistance >114.5 (met healthy obese)3Leptin resistance <114.5 (met healthy obese)4Leptin resistance <114.5 (met unhealthy obese)1Leptin resistance <114.5 (normal weight)0No leptin resistance >114.5 (normal weight)UNF:6:BfKf/4i5ywj/xjZ/eeydiQ==Group Post Leptin Resistance <114.5 OGTT values0.00.42966892442365970.2307692307692307541.026.01.00.0.1No leptin resistance0Leptin resistance (<114.5)UNF:6:BHgL/gw+ksRcLSNUOkji8A==Group Post Leptin Resistance (< 114.5) OFTT values0.0.0.42966892442365970.00.2307692307692307541.01.026.00Yes (<114.5)1NoUNF:6:p+cvZV5F9KmYF/Kx00PfVQ==Group HOMA-IR >= 1.83 baseline0.50335413439782610.01.00.065.0.0.47692307692307692.01Resistant (>= 1.83)0Sensitive (< 1.83)UNF:6:xj5eh+YfHcRcHj2K6K0EwA==Group HOMA-IR >=1.83 visit 20.00.00.5038314736557788.26.01.041.00.4230769230769231Resistant (>= 1.83)0Sensitive (< 1.83)UNF:6:ruZroYAFxbT5rIqUrMlRBQ==0.3138953896350130726.041.0-0.1876036500467684.0.28742996289350720.333272775900461451.3072392362016387UNF:6:i17CACnn1ENrk68Ydd3qEg==Baseline HOMA-IR 65.013.91.890.162.02.668054700854701.2.1980821715923575UNF:6:8Z2mQWGkBLxLugJap6QOSQ==HOMA-IR visit 23.00044136410256451.93896444444444470.649226666666666626.0.3.797715405709525720.28841.0UNF:6:u7vKmiYq3lHFfW/Aq1lnrg==Baseline WBISI Whole body insulin sensitivity index 63.060.14029137865800617.65767822843340473.091.892316751913034.0295.2.0WBISI >= 46.21WBISI <46.2UNF:6:CUhEhZrn7QGjY8UyN/QXBQ==WBISI Whole body insulin sensitivity index visit 261.32900781144121.71.5254894251993745.093.6007471799411722.0251.6323891618318715.19318040136692UNF:6:SWa1WFuiYFbzo+0+feCFpg==Triglyceride response at baseline (corr ID 69)1.00.84015565282810594.30.6975.-0.090.972045454545454766.0UNF:6:Ki703A+oeb+IcHmTppf98g==40.0.0.0950.670.51949001125610850.79611111111111112.027.0UNF:6:nF6TWj7g1BYbJ1NTJZaczw==TG clear % 6h, corrected pt. 69 (incl. neg values ID)2.049.84162238055665226.565.0.0.072.4928694301538564.8UNF:6:aqwUGk+abLriMlzd6tN2wA==TG clear % 8h, corrected pt. 69 (incl. neg values ID)114.76670485523077315.016.6666666765.0103.8461538.59.164204144398712.0UNF:6:5BiafcKgv5vFgXW7RlBMyg==69.6006966877777844.4037941526840640.070.040.027.0187.5.UNF:6:V1hD1iePIos4pHeGiAorgw==100.027.0.0.059.64611012225078262.540.0107.05404522592592UNF:6:+71Yu1LuBnyXGtl1+93ygw==39.014.300000000000004.28.03.0940205175407242.15000000000000041.8500000000000014-2.0UNF:6:+f4u6y1UjUPUxZCmxHafQA==20.141.0-5.91999999999999826.018.051267421941915-67.5-9.516538461538461.UNF:6:ri8ZvBSDKjlWk/gp/+TvMQ==17.65463546450663741.026.0-57.0-11.19423076923077-9.0.11.48UNF:6:No20QvYxyT0unFHndiTpXg==.41.00.250.47596153846153844-4.668.126.02.3105800220856967UNF:6:1fDh9UAYgaDZVFpfR56O0w==.0.1903846153846155441.026.00.01.711232259558546-3.51999999999999964.800000000000001UNF:6:X7Dm1kGn2HD07xqB1yuwiQ==.-1.143015608032496-0.77193551235726034.8608031165717716-6.52883804936785126.02.11575731632198541.0UNF:6:izzBHdz5qWrc4K8kKGg40Q==-1.097660350402286-6.5013365410318141.0-1.2448956211919109.2.51660469938644226.04.750445632798575UNF:6:/vT4+149DD6gqXsHQODA1g==-3.977777777777778-0.657620981333333442.025.01.2586666666666666-0.285599999999999851.1140022860078989.UNF:6:W73H6c5lXzYapHokcO7jng==1.760858207496974.41.0-3.9777777777777786.388-0.2747999999999998-0.3866355589743590326.0UNF:6:UhttuZkwMOZC6peCxBzTCA==.196.5793544235889728.059903573106705-26.10295776291414414.24418677063493651.0188129099385522.045.0UNF:6:5gOFdLiRPSNS8vewyBa8lQ==0.4916830360885029-0.1218518518518518227.0-0.23540.00.5850000000000001.-1.25UNF:6:BdyVpMIsKZHrHsp/Y1aruQ==-1.250.49168303608850283-0.12185185185185181.0.585000000000000140.027.0-0.235UNF:6:BdyVpMIsKZHrHsp/Y1aruQ==.47.69688673947227694.3595745000000127.0-86.111111112.040.03.578360073333335UNF:6:wKC7/uAPqIbY815nmwGQOQ==Delta variable 6H TG visit 1-2, corr ID6947.6968867394722763.57836007333333527.040.02.094.35957450000001.-86.11111111UNF:6:wKC7/uAPqIbY815nmwGQOQ==27.0.-120.8-13.747174235925927101.62557.2203816599851640.0-9.401709410000002UNF:6:qDkvDau13GKz7ES+iiOCdw==-0.110000000000000140.0.-1.172499999999999927.0-0.085740740740740711.32000000000000030.5878406601604654UNF:6:iH7R8liRSuagBL/nHnQ75w==27.0-0.11000000000000011.320000000000000340.00.5878406601604654.-1.1724999999999999-0.08574074074074071UNF:6:iH7R8liRSuagBL/nHnQ75w==39.0-7.714285714285713528.0.-6.512.168134288521477-35.09.0UNF:6:Vb+sbeGDM8QTCHoM836hFA==-2.028.0-3.25.14.039.09.528223183628574-21.0UNF:6:Qv0uByjfyDY/VCR+2Jitnw==-4.55457142857142928.06.70631463858847-4.0499999999999975.68600000000000739.0-28.639999999999993.UNF:6:rayfHvYC9RNBFQthZAUi1Q==.-2.25357142857142928.0-10.6000000000000013.8999999999999986-1.550000000000004339.03.592943922711017UNF:6:Nm2gRrtNFKbWxcCKEOi3XQ==-3.088888888888893.799999999999997.27.0-1.899999999999998640.04.85064098328437-16.700000000000003UNF:6:W90KdxTLmJr1rpkf2uH9DQ==40.027.03.398925714309746-2.000370370370371-1.10000000000000142.700000000000003-10.800000000000004.UNF:6:MsNmhf7HRMvUwsBi0Ji1uQ==0.119999999999999880.039.0-0.14-0.015900000000000010.0511912752983032.28.0UNF:6:2nJVbP4lMpioJWJDLUxsBw==26.0.3.200000000000001-1.100000000000000541.0-0.100000000000000090.057692307692307830.8055671676145086UNF:6:mCB3NKj+DCz0UC7bpISt9A==.27.04.584753705632456540.0-17.5-1.19999999999999933.6999999999999993-2.477185185185185UNF:6:8wrwXlSpDzZZmT6B7NtUYA==40.0-0.80000000000000070.088888888888888880.770281333886089827.02.4000000000000004.0.0UNF:6:xCarQiWyg5V6OB8xWiKP1Q==40.00.6913383527251459-0.7999999999999998.0.04444444444444447-0.1000000000000000927.02.2UNF:6:cbJuiLm91d7y29tEeV/tzw==40.00.007407407407407402527.0-0.300000000000000040.0.0.173040515322336970.3999999999999999UNF:6:+HsegkvR2M26oGU1Ti9JgQ==Delta mean HRI, 3 values.60.00.102999999999999980.424666666666666750.373571428571428677.00.25592292779965030.8430000000000002UNF:6:hTPwn9oLvSbzlAt0vaIv/Q==35.67735936733292109.84486102133164-33.95183675879991420.33544047045090526.0.41.016.853055524031227UNF:6:S27Zq9pCiffyMgs2OsT29g==21.41947002791275.17.990657882669641.037.36173742386675-53.39003563504336124.9999999999999926.0UNF:6:sJnrOsZDdvs+DZGp3osjHg==BMI Percent change baseline-post WL30.9523809523809628.05.41606349523286939.0.7.2959164505469665.60998427188128-4.268292682926847UNF:6:ziBl/MVkqtT1InKaFjsunw==8.33004504814756627.06.099518459069016.-26.181102362204722-3.448275862068957340.0-5.322692845720188UNF:6:uxodmrtgVyeNBr791ashxQ==4.9723756906077427.040.06.326585171818222-20.338983050847464-3.7912744211265177-2.272727272727273.UNF:6:67Uc/+GeThNEgIlrkEIZ6Q==-19.99999999999998647.07446808510637525.031.029693762405024-20.09549105855909842.0.-66.820987654321UNF:6:FJh/QDdhzk2MhIpCgOtjfw==28.066900760097116357.0726942815270585.06611270647767.45.022.049.274319217514375-19.032772542227423UNF:6:4XW9OodO/wDHJ2tlNq99rw==-21.201940731813927-21.43906960266010541.077.5747865802625734.5033793283543726.0.-86.11177283338891UNF:6:bI0fYLSfdKgviMGU2N1dOg==55.3212535251498226.0422.8524926155886397.59457269204269.41.0-27.1673317168477237.62972751065539UNF:6:JI0a6ZuHUaSyPakL8JDZKw==38.38951310861423-0.901378579003181427.040.0.-0.1107974794753125910.511302176265275-14.54319453076445UNF:6:7hULG3rgcDYH8XtHENLdKw==266.902245510107927.0-11.666666666666659-97.7083333333333346.46018297960297.40.01366.6666666666667UNF:6:xxjuzQ3DNoM/zFjpcjAzYg==40.0110.8110225827290719.322839586826905-73.33333333333333-25.503355704697977458.3333333333333727.0.UNF:6:Qv2TQF71TYKODMC9RPKPMg==26.0.279.11045708121441183.63078944926882.026143787780233341.0-100.06031.54961UNF:6:EKoXLqU7hdXnIInUGLWnVg==-25.547445255474454-5.5715551617190968.79429200080001.8.03571428571428639.028.0-5.486356731081365UNF:6:ZQnZQSNBtFQhyJZV6JYGZA==22.58064516129032.-3.74454604968438228.0-26.2512.00804649143165639.0-2.6671408250355615UNF:6:cAr+10MBaIQxcl0iuYbiIg==40.59020044543429-20.47311095983661726.0.41.033.06562151357193-80.93525179856115-19.292901521563714UNF:6:3vofJtxp9SsG4yEF21SBgA==7.1927832993859723.10029212091045626.0.5.43478260869565276.41509433962264-33.1436699857752541.0UNF:6:NkFke1AALasfy475b3xf8Q==.28.57142857142858-0.334720405086569310.472843534146234-2.2739018087855216-20.37037037037037726.041.0UNF:6:VEgGpKc4HsN9nwBn/RqhZQ==.-58.33333333333333627.856727931617442-17.9822425071082626.3157894736842127.040.0-13.160422670509117UNF:6:jhiIrv5yz9awFQufJihD1A==.25.03864808202044440.027.0-18.918918918918923-2.8571428571428695.65217391304353.8597976999583863UNF:6:wh+t4kmDheTegLApRsBvmA==27.01.6288347334098967.40.00.015.03380931755699736.36363636363635-27.272727272727277UNF:6:5pgnZFePhsafzXdlh9AgNQ==Baseline fTG, corr ID 69 (incl. neg values ID)0.653349502603658366.00.05251.21.31397727272727271.04.4.UNF:6:23VuF2zIUBL2nz9l4+nL3w==Baseline Serum Triglycerides 2 hrs mmol/l66.02.01.00.141036.91.0384367952388553.2.1235004545454546UNF:6:/r+d2MBsN70iJ7+d713ecQ==Baseline Serum Triglycerides 4 hrs mmol/l1.49663327689222722.27439393939393949.31.91.066.0.0.25UNF:6:Yof55r7BEewpdQseuH0PYA==Baseline Serum Triglycerides 6 hrs mmol/l66.00.121.59500000000000028.11.841060606060606.1.37218201168557561.0UNF:6:1f+Vp2LYUN2/fGhCdXc16w==Baseline Serum Triglycerides 8 hrs mmol/l1.1.1.00.96926744019871560.0866.06.21.3522727272727273UNF:6:rw/sZSZVtF3JtGOk9FAj4g==Serum Triglycerides 0 hrs mmol/l, 2. visit1.21.2743518518518520.599534912931150140.00.027527.02.72.UNF:6:QIE6/t7JqPJLD+C6+cvULQ==Serum Triglycerides 2 hrs mmol/l, 2. visit.0.199130.81242873093468841.9227.01.93626407407407440.03.45UNF:6:WBxO/us7d7i9sd8cg9TJWg==Serum Triglycerides 4 hrs mmol/l, 2. visit2.01.044720031353020527.02.10569444444444454.20.1837540.0.UNF:6:Qd1i93OCs4n6+5/u1NX3Wg==Serum Triglycerides 6 hrs mmol/l, 2. visit0.89742012635715014.6627.01.6210370370370370.078.1.440.0UNF:6:ww/FInyzyZTHkSgBOyXHgw==Serum Triglycerides 8 hrs mmol/l, 2. visit1.182.8127.00.66248400776268591.287685185185185240.00.0575.UNF:6:cyrCk1tJc5kyG2czuasOlw==S-TG 0 hrs visit 2 with normal weight controls0.027543.01.06.0.53486562439294382.7224.01.1473837209302327UNF:6:lrmLNAkCuP6D+W/RG2DbvA==S-TG 2 hrs visit 2 with normal weight controls.43.00.199130.74846169757020893.451.724.01.7741658139534884UNF:6:Ob7AtewUT4pJqSkf5Qg/+g==S-TG 4 hrs visit 2 with normal weight controls24.00.983010331063360643.04.21.481.7645058139534884.0.18375UNF:6:JeCigIQZ5ZXzgwG+4szP+g==S-TG 6 hrs visit 2 with normal weight controls0.82354406851098350.0781.34902325581395341.1243.04.6624.0.UNF:6:ZeXOtMqs05QV87khI8TW4g==S-TG 8 hrs visit 2 with normal weight controls43.00.0575.24.00.952.811.10250.5980730465817858UNF:6:9nPkojy3pvB3PzA5K0Nztg==BMI start.8.75266548003889452.761.036.2573770491803338.019.36.0UNF:6:RBBsXYw9cTZqgraKvIFWNw==BMI end36.225.428.052.936.3.39.06.373149695169338UNF:6:oqzERj5uUYigXuR0wZZcJg==Total bodyweight start (Kg)4.0100.5746031746031726.245189840413513.63.0148.152.2104.4UNF:6:7AD9HUnivkAonVLcMCmBng==Total bodyweight end (Kg)21.66110154414637.103.29642857142858143.8105.2528.039.065.1UNF:6:3a1sd7WQXQV/LX0fqU5ktQ==Vekt ved 1. fettbelastning99.70984848484848103.9147.81.052.2.66.026.623383619692394UNF:6:565n3YK9T8aNrrH/jzTb3w==Total bodyweight end day 1 (Kg)39.0103.5357142857142965.528.0143.1106.15.21.72457584780876UNF:6:bgn6tox6na2+CtbyxssT8A==.7.099999999999994-4.8500000000000018.1593220942083828.039.0-5.875-35.3UNF:6:HH1aglNhpTviOhyf5NYenA==7.91578023441635939.0-34.9.28.0-4.850000000000001-5.2428571428571447.0UNF:6:Hv0yTsRig7ybU46MrXuooQ==Systolic blood pressure start (mmHg)4.0159.0.63.014.10951243005316790.0122.38095238095238122.0UNF:6:kFQ6MWwIVKWAW3Da6uNuZg==Systolic blood pressure end (mmHg).28.0140.0120.539.010.280716010722292102.0120.71428571428571UNF:6:nv32TpC2DQ5nur29MsPYAA==Diastolic blood pressure start (mmHg).73.73015873015873102.073.058.063.010.0934446136067334.0UNF:6:kFetZCgtQ81YX3r937OhkQ==Diastolic blood pressure end (mmHg)10.5702487544124974.2142857142857128.0.74.555.096.039.0UNF:6:oEAAkaXRyffOIy+3Loi7yA==Baseline Height (m)3.0.0.0756132337035727364.01.681.68093751.831.53UNF:6:KZPixV0r53HiGRAI/Rhumg==Total fatweight start (Kg).10.97517.82412412509891271.545.0376984126984163.04.048.3UNF:6:OJUlKAFgq3SH34hW8tpdEA==Total fatweight end (Kg)12.23133030745008739.028.045.141577.18646.38785714285714.28.2UNF:6:P9MiR9vU9/1AQVtiAS44OQ==Total musclemass start (Kg)16.036.0577.452.853.66621568627451.51.011.580183092358649UNF:6:5VuVSZseMn95vR9+EovRug==Total musclemass end (Kg)51.228.053.414678571428574.33.56373.7639.012.582969060374369UNF:6:2+AG0WJRy2w6u1SROXNi3A==Android fatpercent start (%).54.950.6650793650793644.064.263.014.212.866663085089792UNF:6:egCttHiq3mxYcz7Soj8cwQ==Gynoid fatpercent start (%)8.80784050011543253.149.80317460317460463.9.30.463.04.0UNF:6:PsZpc8doDbyWnQuD5wLJrw==Total fatpercent start (%)19.363.059.246.510.233979274809727.4.044.43809523809524UNF:6:F2tS33QVK1XuKuESMB01gQ==Total fatpercent end (%)57.046.33928571428571536.15.7652431952632446.039.028.0.UNF:6:4LsNnREG+8EOY6zeVh2YYw==Gynoid fatpercent end (%)6.980705459905089551.9938.449.9477777777777864.0.40.027.0UNF:6:6fwrUCU7F9Oh7XonKmlTaA==Android fatpercent end (%).40.053.437.55.60029761113936953.92222222222222427.066.1UNF:6:iXXKgfob3hYG35ZuEH1Ntw==A/G ratio start.0.186660371075624661.00806451612903231.035000000000000162.01.350.475.0UNF:6:fO+bhTxN3coa3hMTWm6+tw==A/G ratio end28.0.0.14045135707320061.08661.0639.00.891.44UNF:6:fD2TKDnkUPCfOseVg+69ig==Kcal per døgn65.02.02353.01688.50769230769221022.0323.9265504649995.1678.0UNF:6:Gyo0Q0D7RziDkI3mz2zCjg==1285.04.0315.71787687392332432.01777.01780.8888888888891.63.0UNF:6:uH1lX4AtAA7gth/TNx034Q==Percent of predicted REE (%)111.0.63.063.094.142857142857144.09.28032456130353495.0UNF:6:EPdeSy6d+RCrZjvKWXGx3Q==1180.02285.0343.9699599286736327.01831.01790.7777777777778.40.0UNF:6:nyQpSh9kb/P1u28D5d1KqQ==.1369.01878.333333333333340.02540.0349.322531150269227.01891.0UNF:6:F2Flt9fdaT74ErfEe9ggeA==97.040.081.0.95.58148148148148115.027.08.949775976441535UNF:6:ZwFz1Y8htQ/DoKcSaoRDFQ==Change in REE from baseline to post weight reduction-267.0177.84969966102184-17.0615.027.0.-5.148148148148143540.0UNF:6:/Q+j08PnQrvXA+9aIkg2Lw==Waist circumference start (cm)86.0.15.94678651014053124.5155.022.0122.0333333333333345.0UNF:6:OswyUyiDLMy2H83PJ8DA5A==Waist circumference end (cm)79.518.785697262875864.112.527.0110.53703703703704152.040.0UNF:6:2zlUd/Gx3vQIJq+57S52Pw==Hips circumference start (cm)105.045.0125.012.172445700985252.126.6555555555555522.0164.0UNF:6:90iuS/CD/8ohg6Njh/BlqQ==Hips circumference end (cm)102.0120.3888888888888940.0161.027.012.124620004619123.119.0UNF:6:qnvgzRArJywFKH/+ehfPSw==.27.040.0-26.0-10.0-9.888888888888892.06.705814545448503UNF:6:JiV2PW7VlUB1ktG08Li0xQ==.9.324629641370104-25.040.0-3.611111111111110330.0-4.027.0UNF:6:jwXxZYo0+RUx/jUHiJuxwg==Total change in centimeters (hips and waist).27.0-13.540.0-51.0-11.527.013.97662884411523UNF:6:mrsCHjaBTlGiXoULqrmkNg==Sex0.0.0.386333704643127660.17910447761194030.01.067.00.01Mann0KvinneUNF:6:Mn1/zIVS8MsCyP7MdGnZDA==Age (years)17.011.7856692256075140.038.069.0.67.037.81641791044776UNF:6:qOegrI5X+bU5I1XXZfvNxg==P- kolesterol (2,9- 6,1) mmol/L2.03.17.44.4892307692307694.465.00.8064434025636652.UNF:6:ioBIFfBu2E1DP0P6IVDCPQ==P- HDL kol. (1,0- 2,7) (0,8- 2,1) mmol/L2.01.30.33143046608022290.6.65.01.27230769230769242.3UNF:6:zp9/K1MCjMHETGFqQQaiVQ==P- LDL Kol. (1,2- 4,3) mmol/L65.02.02.80.7686370304736719.5.32.86307692307692331.3UNF:6:9TjSsSbZpUJLbNwBVpfoJQ==P- ApoA1 lipo. (1,08- 2,25) (1,04- 2,02) g/L.1.921.410.238556859050415965.00.872.01.36UNF:6:GOmsB6oH24CB3bUglgiQSA==P- ApoB lipo. (0,60- 1,17) (0,66- 1,33) g/L0.8450.230625819996821581.57.3.00.3964.00.85078125UNF:6:0I0xdyfmi+2A51phs89igw==Apo E genotype1.61666666666666655.060.0.7.00.01.67829278335654771.01E2/23E3/40E3/34E2/32E4/45E2/4UNF:6:UAN3M14YjzJnby7jSUnHGA==HDL/LDL ratio (>0.3)4.0.63.00.1698113207547171.38461538461538460.50426541148650130.252035078050990.4285714285714286UNF:6:1ToJFJp0PDZ+UL3EpJ9kOg==P- kolesterol END (2,9- 6,1) mmol/L8.040.04.629629629629633.127.0.4.40.9326615408912011UNF:6:ylEKlF3aQFa3bXKbUdY9kQ==P- HDL kol. END (1,0- 2,7) (0,8- 2,1) mmol/L1.640.00.235218271670453640.81.207407407407407527.0.1.2UNF:6:6DzC3wSlhtdgfbxg+blT9g==P- LDL Kol. END (1,2- 4,3) mmol/L.2.93.00370370370370350.846023040912589840.01.55.927.0UNF:6:vxpzPjFaMoYuiqXxef/RVg==0.3928571428571429.0.18644067796610170.93333333333333320.173170973270002530.436314929382913627.040.0UNF:6:sfpRrCbC4Q4lyhToqx5Z4Q==40.01.32851851851851841.761.021.3.27.00.19003448479974736UNF:6:EJy3f2yqqk26kQ+pwJWuqA==0.8944444444444445.27.01.580.4540.00.860.23218582301737634UNF:6:vGBx4vtMJ0nB/GxntJ84ZQ==Glucose start (mmol/L) Tid 01.0254336274444025.19666666666666760.0.5.17.03.911.2UNF:6:KIFXEZtoob4N3y/RcXLsMA==Glucose (mmol/L) Tid 308.1559322033898318.05.4.7.816.659.01.957326747205068UNF:6:XejxBTq0qp4SuSPNjgDWeg==Glucose (mmol/L) Tid 608.6576271186440692.6775054905015024.619.459.08.08.3.UNF:6:aaY8J8LmGT8dkw7Z+akMpQ==Glucose (mmol/L) Tid 908.086440677966159.08.04.116.47.62.7652060861726797.UNF:6:M+EkCY44Tiwbk0RQR89TFA==Glucose (mmol/L) Tid 12059.0.7.24237288135593216.46.42.52205467617114248.03.6UNF:6:IFl04Nwqf2v1b6LGUOv0hQ==.5.0526.05.4576923076923083.72.031978952041202441.014.4UNF:6:FUk5aOg9WQeWnU88G7D7LA==27.08.1592592592592619.42.8715125013804213.940.0.7.7UNF:6:qVgd4CnSJu7IRu/jOVtCWQ==27.040.03.6713373515270904.22.28.74.49.244444444444444UNF:6:bn+ZAXv7zzI+qbjDjaj4Vw==27.0.4.0228868034805858.8148148148148153.122.540.08.0UNF:6:DcrjhlWA6A61ASRkOnhDAw==19.527.07.140.0.7.8814814814814812.73.633713616106069UNF:6:U08nxML9OzqBUavhEEkk8Q==Baseline Insulin 0 min0.6981.0.12.0470303030303039.31599999999999966.073.610.312774568047885UNF:6:+3ESEGmeeYnZCrXwlu3CRA==64.0129.3.9.231.7483352318831361.32331253.051.31UNF:6:E098bmd/ZYye2OtMi6zWLg==2.048.31817230190059.273.663.95215.9965.075.49246153846154UNF:6:3mSLY4G/JHpNEKMaNU1aCA==13.152.65.0278.354.267.229969230769232.049.64408116595107UNF:6:UiW0p1ncJbkOkgCQuX6KCw==12.065.039.9.49.07765712740762656.76461538461539285.82.0UNF:6:ICs23AqvREL9qVpFKLtGvw==3.94827.07.87440.06.89321137619637110.71933333333333331.7.UNF:6:QIVKbKwdIrzSTWVptVc7LA==41.0.26.040.18119.129.8171578963419151.12884615384615510.9UNF:6:DQv0ZvAFLcAR796HYdT7Sg==63.6737692307692318.25634.827049521092360.09999999999999426.0144.324.41.0UNF:6:+EXBYB9UMVcOSWSjbsp54g==175.7839.2115030005226925.055.262.6903242.0.13.2UNF:6:HQGCI7pE0mDtSdmRTeGvdg==47.15527.464404042165274119.04243.0.24.048.3073.3UNF:6:Zz9zJXdqSpDj7SdFvHmk3A==26.07.925384615384615541.03.1270666520165262.19.63.77.110000000000001UNF:6:RPLdVnrpPh6mMLEzCPNmRA==47.81259130434782615.78319999999999919.7411991529922748.4292.9960000000000144.0.23.0UNF:6:EUO3IOZh5kPEN15QPs6Aug==Leptin 0 h after fatload32.36562564.03.0.28.599.92.4422.062278075685857UNF:6:j5DZG6QteVudTg0V1QMp9g==Leptin 2 h after fatload31.327812527.23100.0.64.01.8322.8437266904317233.0UNF:6:8olwMkueKsrjSMiL/6xR5A==Leptin 4 h after fatload26.94.0.22.51562588995895863.087.52.0131.10142857142857UNF:6:0qAP1dHQfudg+yO0i46aGA==Leptin 6 h after fatload99.7.28.132.700781253.024.5673989232916272.1764.0UNF:6:VzvTMpaSr7SzvUFZKKNcJw==Leptin 8 h after fatload64.025.431737046091587100.03.0.33.8998437528.842.42UNF:6:x7hXQ++TJG69o37Pm+hu+Q==Leptin 0 hr after OFTT, 2. visit22.2527.28346153846153841.026.0.15.92981580365766679.08.3UNF:6:K7Ce5N+a4cIC+Ow5g6y0Mw==Leptin 2 hr after OFTT, 2. visit14.6913718268188326.621.026.075.741.0.25.20307692307692UNF:6:op0IGD50g8pGdUBr/SmXdQ==Leptin 4 hr after OFTT, 2. visit26.041.0.14.68270497505876526.06423076923076876.27.121.5UNF:6:OxB1hcbhVW9d+/RcIcEhxQ==Leptin 6 hr after OFTT, 2. visit.42.022.37.125.023.30279999999999843.39.804821738988084UNF:6:afI8HI2V+gzuYiJ5Ad1a8g==Leptin 8 hr after OFTT, 2. visit23.690410.32372529661652622.57.845.8.25.042.0UNF:6:vw/uWgfAngw8I6erB6JLGA==Leptin 0 mins after OGTT.95.132.343174603174663.04.02.4725.223.761307992222992UNF:6:i6XfdKVzBeZyEh7lQIxrkA==Leptin 15 mins after OGTT33.02.5722.48053743257877814.9487.834.022.904848484848486.UNF:6:T/XwrOiLwDW0H3+QAehZ5g==Leptin 30 mins after OGTT20.771399922400592.17.85.726.529.38746031746031763.04.0UNF:6:hjhzO8W7AQ4QoFdngw88AQ==Leptin 60 mins after OGTT63.023.562.829.5620634920634944.0100.0.20.9908360311405UNF:6:+cLp7jDnn/gql+Mkl6QVNg==Leptin 90 mins after OGTT37.0.37.8533333333333388.510.630.033.90000000000000618.51394131427735UNF:6:zVOFPFV8e5hMR654J5zuBw==Leptin 120 mins after OGTT.25.320.70958784289614563.029.3549206349206354.03.284.0UNF:6:fU/lSASIW2EC008KNqMbrw==Leptin 0 mins after OGTT, 2. visit.14.44612963871159520.9541.025.61153846153846226.09.669.2UNF:6:OALMIX3eRLaVffBbr/MLzg==Leptin 30 mins after OGTT, 2. visit19.6524.8853846153846169.614.20518616020761.69.126.041.0UNF:6:9QVjkYKg5Yj9NRXvQ7L0Ig==Leptin 60 mins after OGTT, 2. visit16.98955959948978.26.019.1592.224.800769230769239.441.0UNF:6:f4yhZtGnWjRHMU5cTJVzug==Leptin 90 mins after OGTT, 2. visit41.026.014.3071344225395259.024.02076923076923375.1.18.8UNF:6:NFqvlUREF0sVqZyevrxVWA==Leptin 120 mins after OGTT, 2. visit64.913.49305918440463626.018.4500000000000037.841.0.23.923076923076923UNF:6:Gw1GX7Plp7WVxh6nv1+Sdw==Adiponectin 0 hr after OFTT9.065.035.09.88876923076923.2.03.24.895151142869692UNF:6:4l4Wy3g+WUiOIyjTKk4rVQ==Adiponectin 2 hr after OFTT10.200769230769231.65.5110305035935399.240.6.2.065.0UNF:6:wIrWDFMHpPJ3mp3AN+1L+Q==Adiponectin 4 hr after OFTT3.0.9.896718759.23.24.431945380546876531.464.0UNF:6:tQryjZr76SqRR8tKcJed2A==Adiponectin 6 hr after OFTT9.47171874999999923.91.3.9260172292951318.863.064.03.8UNF:6:B/4M4wcmhiU6A2b6eoJlUg==Adiponectin 8 hr after OFTT4.000770845863479.405937564.03.0.8.5525.881.31UNF:6:RmMPgv7Zr9uNwOYredKTKw==Adiponectin 0 hr after OFTT, 2.visit18.78.6425.3.3563197851217934.341.07.8526.0UNF:6:9G9TF4qzLpp9zVVsCJya8Q==Adiponectin 2 hr after OFTT, 2. visit 4.04269417020953454.47.7526.041.024.0.8.881923076923076UNF:6:6QUAuksmOY76cL/XXyQ8CQ==Adiponectin 4 hr after OFTT, 2. visit9.01541.03.6503931295135874.07.550000000000001.26.018.3UNF:6:zKd9RZPxOHVgTOqpHQxf9Q==Adiponectin 6 hr after OFTT, 2. visit.7.125.03.92.67127484671021168.2141614.142.0UNF:6:uWo9bsFlLi9qKN7poTEcpQ==Adiponectin 8 hr after OFTT, 2. visit8.12.946019913940388416.08.438.42.04.125.0UNF:6:7ewLyRtyBgGdUqbwd6AuFg==Adiponectin 0 mins after OGTT.8.7537.04.8892693123290049.5158593753.064.03.1UNF:6:KAKMDRN3iTgxvGczp3aPbg==Adiponectin 15 mins after OGTT34.211.03727272727272733.05.707166696754657.9.834.04.2UNF:6:N2l/NG+T+s23FwejFPBzyQ==Adiponectin 30 mins after OGTT4.72207546807444349.143.09.570312564.034.5.3.7UNF:6:kEVq8n3aaP8XFw18OyAoDg==Adiponectin 60 mins after OGTT9.44206349206349163.0.8.74.04.81104212395655334.03.4UNF:6:ODqpJEjz0H/XX7PjvEIQmw==Adiponectin 90 mins after OGTT7.817.43.47.9548387096774236.02.858652212690148.31.0UNF:6:5fZYrwXkQbhyMyM4thrzOw==Adiponectin 120 mins after OGTT4.039.063.0.9.3174603174603188.93.14.971111048737874UNF:6:hwXNwdNMO6AhOrUGdGywxA==Adiponectin 0 mins after OGTT, 2. visit.16.37.64.38.25826923076923241.026.03.1338088462149996UNF:6:ZK0R0aQTn9GbwZeeCPHOkw==Adiponectin 30 mins after OGTT, 2. visit3.826.016.9.8.3781538461538473.21902727782549477.5541.0UNF:6:INmRUK55gFk6gdYDWiKoyg==Adiponectin 60 mins after OGTT, 2. visit3.25177499458136143.726.017.08.13015384615384641.0.7.5UNF:6:FV5eX020jB2X4fmfQaFrSQ==Adiponectin 90 mins after OGTT, 2. visit3.97.425.03.08884660674498442.0.8.2418815.9UNF:6:9pICMCavFrSskPGpix1JDw==Adiponectin 120 mins after OGTT, 2. visit.15.33.77.27.9325225.03.11182777372613242.0UNF:6:YGu1mATuz6fheI1eJ0etiQ==Treated with antihypertensiva2.0.67.00.64013227940986540.00.88059701492537351.00.02Obese using antihypertensiva1Obese no antihypertensiva0Normalweight no antihypertensivaUNF:6:d7HVCOMOvE1c+EKLJkhsKg==Diabetes mellitus diagnosis at baseline0.00.3689020326284735435.032.00.156250.0.1.00No2Yes, medically treated at 2. visit1Yes, not medically treatedUNF:6:agcHI9pc6CBpv0Dj76bXzQ==Use of lipid lowering drugs at baseline0.00.2532.01.00.00.43994134506405985.35.00No1YesUNF:6:8MD5JIw7I6BUgRXKYym9xg==Treated for hypothyreosis.0.336010752516123535.00.00.1250.032.01.00No1YesUNF:6:DmnfLAZNW4dPuiVHODASuA==1.20650000000000010.2719178071516351641.00.7921.8641.220576923076923.26.0UNF:6:4I7p7KVvrIm0cTodlF/cuQ==1.2460.186288950618467041.58523.00.75744.01.2131304347826086.UNF:6:bp9DCnbG2i80YZl4gNmWag==1.22124.0.43.00.21592097571478131.18104166666666680.741.527UNF:6:mCyDXm/i9IJ9WUK1fjHQ9w==1.15243.01.4924.01.1757916666666666.0.8530.16832266611343888UNF:6:/evcgvfESwopJBNnnRIG/g==1.20647826086956521.61466666666666651.215333333333333423.044.00.189190669311183750.8693333333333332.UNF:6:yg6RYVjv6L2nn52rIeJVhw==26.00.041.01.01.15384615384615372.0.0.88055926284641133Severe steatosis1Mild steatosis0Normal2Moderate steatosisUNF:6:pxlAA0xrdQ9a07W89W4WIg==60.01.5581428571428571.8417.01.740.33427305633340571.018.UNF:6:QybOEeqGMFu/7AE1q9GjBA==1.730.3122344204813642.1.5777.01.89760.01.119UNF:6:4s7Zwqa1YYtBF2o8Wcw5vQ==1.782.7.060.00.35300964508609331.961.0431.643857142857143UNF:6:DWAdChOWTz/E2sl93u3dEA==.1.0660.00.31688979607608521.6811.8931.5928571428571437.0UNF:6:+U8pslKqHI7wATjs0Q6sDw==3.0.57.010.01.02.90.99442892601175334.03Severe steatosis0Normal2Moderate steatosis1Mild steatosis4Results not comparableUNF:6:CuRNtIl7T6VAXMCHfrhdkA==0.59106460702649920.7025700154538463.1.04921802267018150.69897000433601890.0711264227269916360.07.0UNF:6:NsmWbB4f6cYa765EY7McQQ==0.95821619852243641.477121254719662447.00.9421073089893555.0.24170092721501920.00.22993768590793387UNF:6:Sb0sj8wPelOHfV1MD6RYtw==.0.27646180417324411.1430148002540952-0.79588001734407520.318903340886381265.02.00.31524617944603683UNF:6:TyYanSYDmic1lXVrUWqqxg==.0.27579034789073114.02.47011635315100463.01.24693359851286981.8633228601204561.879204356457041UNF:6:INm1Z5eoaO2pw3fITYRJIg==21.0.46.00.267943068101474341.18164869461240431.83308956215584762.4007665411012491.8952738367657727UNF:6:lwKv73QSEDe/yoNox9vDxg==Log corrected TG0 at baseline6.00.5051499783199060.05219706041833416-1.27984069659404320.0718820073061253661.00.24253483750275048.UNF:6:m+lfnvq12NmA0I05EgieOQ==log (TG0+1)5.00.1609637237115366462.00.252846253706100030.233103617939630530.5158738437116791-0.2218487496163564.UNF:6:yqE0aUcWN+bIRl6o74bDBg==log (TG2+1)0.414973347970818.0.130312885899085460.0572970630537784562.00.68033551341456325.00.3910295754453289UNF:6:RqfX8iPPtL/puyI1g6Wvsg==log (TG4+1)0.380211241711606030.8061799739838872.0.39553692335858860.062.05.00.16384327866110696UNF:6:GjvNFXAWml4xJWOY5YwaEg==log (TG6+1)5.00.82607480270082640.2922504187620555-0.096910013008056390.317526200804646.62.00.16827304053145967UNF:6:N8OFQFDXwku334TEEMALrw==log (TG8+1).0.0413926851582250866.00.79239168949825390.26999965362398241.00.051288109444507075-1.0969100130080565UNF:6:BxfDRLhZpqishPsisRVRpw==64.00.6334684555795865.0.35557682082078623-0.12784372725170717-0.132486772458853853.0-1.0705810742857071UNF:6:A8nvB1FsWTkCP+BZT8EEDg==23.00.0194363506450824580.38686722759124786.0.434568904034198730.07918124604762482-1.560667306169737444.0UNF:6:jxZVx3+Bn6NzQfZcu13EbA==44.00.255272505103306070.2686713494053367.0.214558162422170180.5378190950732742-0.700863306255985723.0UNF:6:urPlidDDyhAeh83kMDrUbA==0.23896455189786558-0.735772652243767544.00.255272505103306070.623249290397900423.00.30237466559136866.UNF:6:4S0smyv+gQ7F/6SZ4SNXXg==0.34063053767236423.0.66838591669000010.14612803567823844.0-1.107905397309519623.00.1164865339161519UNF:6:XQTQRzt/XDgDEV8HY75l+A==0.44870631990507990.071882007306125360.014237455274464433.44.00.345652694384059223.0-1.2403321553103694UNF:6:HAxNCAMqI83PYSUSExy0iA==9.00.363710790785725958.01.8191360819875846.0.113943352306836791.7940484143262562.4771212547196626UNF:6:ypaxhYYnspK/cctfFH2f6Q==1.221848749703215360.07.02.0182245754612316.2.5642714304780442.0249459349999620.22542892161471897UNF:6:GGz7/BZJiwr/H8U13RZJ7g==1.78770565077226530.354685435264127358.01.81913608198758469.00.11394335230683679.2.3550682063488506UNF:6:vD++Y68/w4gU3sF/gT69NA==1.22184874970321532.49831055378960040.215088278905849252.02494593499996260.02.012089654703937.0.UNF:6:fJCz4B5Rq00Mxlx4tm59Cw==.0.3010299956639812-0.215651362197399525.00.338118306632725942.0-1.0222763947111522-0.23657200643706275UNF:6:4C8mt/u/XJ1EPN2TwoA5Aw==44.023.01.8487323246440171.81917067523609481.05387538089866652.27300127206373760.27770959475200296.UNF:6:LMbYcGo8/7p3Vt5rk4Smsw==2.02245357114850140.185244603903159422.419129307741975843.02.024.0.1.647817481845208UNF:6:n04+vknU2mDHJz6/cYNbxA==Log Leptin/Adiponectin Ratio0.9360107957152095.0.427367752958385140.289288311194141629.00.0334237554869497338.00.46834733041215726UNF:6:Be8plkJWqKPLoZfPwcIIVw==0.4604104554664824-0.729352633329739763.04.00.43766539804631791.17378730414611690.4423591484604505.UNF:6:pd5IOvADHjFVEoi2v/2JKA==1.19451434188246731.8231612459544442.0.335842083889976331.82532398674732722.74084098743014761.06.0UNF:6:hkFEye+VtHF02tDUZqztyA==1.81913361901232135.01.7306875957984251.176438278236672262.02.7969569294090784.0.3353463581610351UNF:6:OULU+zaKENXitsbkOzphdQ==2.74084409464427341.78017122835965116.01.1945143418824673.51.00.351223366984735551.795347189550277UNF:6:jkm6hOk5vZwtyllBXre64A==1.392696953259665829.02.06632592536203760.4973374820668530.43136376415898736.1.31762573611965238.0UNF:6:AmJ/cUH6NXw68j/bXvWDiA==0.38738982633872940.387559675503222731.386433773569568910.01.4683473304121573.57.01.9995654882259823UNF:6:FLzJdO6QNDh4pBNkhefxRA==10.00.392696953259665751.978180516937413857.01.385500158896496.1.45636603312904310.3874045550306272UNF:6:rFNDTlvOayTjdOOo2RTFcw==.0.38738982633872943.01.99956548822598231.454628206238687564.01.38337359244934730.3705950262570707UNF:6:exoOIdHb4jd6EQ1RtNdFzw==63.01.97818051693741380.392696953259665751.40140054078154424.0.0.373255639712282041.374983664003463UNF:6:qbTn3DQIFVPc6ZrZjyHWFA==0.949390006644912832.0.1.24035779755349541.996949248495381235.01.18184358794477260.22641648735572006UNF:6:2O09TcLvZS6cD4umG21pcA==58.00.5051499783199060.18972534848165284.1.54406804435027570.95046505944306590.93446908916645559.0UNF:6:m68oXJflGAJRvwwuVcqqiw==0.21764848271492965.0.20411998265592481.6085260335771940.95591691768259280.95402507401965258.09.0UNF:6:jgkt7+SMLm8aKpd7aep9Ig==.0.5051499783199060.96378782734555521.496929648073214857.00.95568285173786920.1820689365750503610.0UNF:6:DijfOr+qYIVnKsq5pwYxMA==0.167897963386428460.9399793148466110.94645226501307310.5797835966168101.10.01.378579576115774957.0UNF:6:cX4Qqhw1etJ/HlhpkYjaxA==57.00.117271295655764271.41296427199666290.2013499052078473710.00.93449845124356770.9300740560484198.UNF:6:cf8VJg6USu0efKuwvZci8Q==9.01.5682017240669950.1778145350887497558.00.9395192526186185.0.93188092777434010.4913616938342727UNF:6:49QV4grvxzO4Yq6fzbySiQ==0.200339639950087940.99122607569249490.99649743409374151.53402610605613533.00.6232492903979004.34.0UNF:6:OhN6yf9/DqwbiQEuaRD0ow==58.00.187370609145472770.96093683793332020.93881076099007059.00.568201724066995.1.5378190950732742UNF:6:4cZHoajDWLCiU8kVC8CwdA==0.53147891704225510.92866397318797770.191636868719464340.939519252618618510.0.57.01.5314789170422551UNF:6:mY6vnSgLdAwWNfkbfvjaxw==0.921544387342301610.00.184924184855941751.59106460702649957.0.0.94939000664491280.4913616938342727UNF:6:ETF2Vo+mnYheuu6q37MO0g==Log Baseline Indirect Insulinresistence (REE/leptin)1.84812751056787471.0986437258170571.87688123067140622.751617783189541.0.47104680565226429.038.0UNF:6:VZTMEKcbNtU7R43q2sl5sA==0.0811780108894821860.07.03.2190590655122093.36078268987328.3.21365179149808363.009450895798694UNF:6:bqagO+Hf+69U6HBQsAltXA==1.73878055848436920.148502969013331151.80753502806885341.15228834438305651.6789224877374547.58.09.0UNF:6:EbY9oDLEh+b/XnvXcmYI4w==1.71633234858970261.7937903846908188.58.01.68783500241843999.01.48287358360875370.08210818509419406UNF:6:LLpIROCzEth9NF6hpBzCSA==1.6674529528899541.77232170672291981.28555730900777390.1196411446132448958.01.6295077423019286.9.0UNF:6:uA/zbK2XR+r5tVIz5ZeBMw==0.20019674669375478.-0.7700333601614642-0.344629314572005962.00.14132915279646935.0-0.36797678529459443UNF:6:O4fYK8AJd90hua6yN/SXVA==Antall konsultasjoner ved WLBS 215.03.03.82041728549305459.017.050.0.9.705882352941176UNF:6:un1Cz/brM03/l5W5jlAcHA==LA ratio group cut-off 2.2 baseline0.64179104477611940.48309270511649270.00.067.01.0.1.00<=2.21>2.2UNF:6:wSryQMNwCvZirbB2VrqG0g==LA ratio group cut-off 2.2 post WL1.00.4706787243316415441.026.0.0.69230769230769231.00.01> 2.20<=2.2UNF:6:+xzGB/rrwmVqHopqqM5ydg==0.0.64.03.00.00.50296738510184780.468751.01>3.650<=3.65UNF:6:/zdrHS0CwLxzeHdvQGw0nQ==.0.48516452403758391.00.00.00.3461538461538461541.026.00<=3.651> 3.65UNF:6:saH0KqP1KtxobdU1xH5HuA==0.478713553878169051.00.01.0.64.03.00.656250<=1.881>1.88UNF:6:GgFQ0DTtsi3gsMvmM7CKHQ==1.0.26.00.45234432086120481.041.00.73076923076923070.00<=1.881>1.88UNF:6:jXdYM+Q1T4sGHjnJExxz/g==Decreased LA ratio below 2.2 OFTT values0.01.01.00.4019184762342501426.041.0.0.80769230769230770Yes1NoUNF:6:EIP74D2OD1pvtXRjzeCZ5g==Decreased LA ratio below 3.65 OFTT values0.769230769230769326.00.429668924423659741.0.1.00.01.01No0YesUNF:6:pr8so07yfbCqXw3Al1fojQ==0.01.026.041.0.0.36794648440311991.00.84615384615384610Yes1NoUNF:6:S9XFEAD93JaHKsXStSYqEw==.1.00.00.506622805119022125.00.561.042.0UNF:6:ehnhnTiV+yNqGf6epny32g==0.503831473655778841.00.01.00.42307692307692326.0.0.0UNF:6:u4rbjG3X+dEqzDTcgIV7RA==-1.6000000000000005-11.327.04.819999999999999-1.71296296296296340.0.4.18533503374931UNF:6:j2ARFC4OTlIELLng/0XblA==1.0.62.00.74193548387096761.00.00.44114173295701585.0UNF:6:pSOMYkfiXOlvK+HgVvmFrg==0.42966892442365970.041.0.26.01.01.00.7692307692307693UNF:6:3soRMe6rYPdFZU4mMOxyDg==1.00.0769230769230769626.0-1.00.48357641986159110.041.0.UNF:6:/72QVEbsQV522+ofdSXbFg==Leptin resistance switched group baseline-post WL0.041.0.0.1538461538461538526.00.36794648440311990.01.01Normalization0No changeUNF:6:70uxuJ6vIeLQYEBSjbSvVA==0.52307692307692311.02.00.50335413439782610.0.1.065.0UNF:6:f2bgKmr8mVtkKL8IK9Obrw==1.00.01.00.503831473655778826.0.41.00.5769230769230769UNF:6:gggMxsOBFjZhhVWussNdmw==-1.00.026.01.0.0.567043615199449741.00.1923076923076923UNF:6:bZDl7RITeVXNX+cAyeLgNw==HOMA-IR0.26923076923076930.01.00.026.041.0.0.452344320861204740No change1NormalizationUNF:6:ZE6INS3aHjXggEFLhgHzzA==1.065.0.0.66153846153846140.47686879343677550.02.01.0UNF:6:+EJjNrZqluEVlrZY2qn3ZA==1.040.00.46532162696807510.7037037037037037.0.01.027.0UNF:6:zT3c2wC/ezCZGPGRTZmc7A==-1.00.436901809201095927.01.0.0.0-0.03703703703703708440.0UNF:6:umRfa5EuR4x3i5EwquF0nw==TG clearance (6h).1.00.266880256341811950.0740740740740740727.040.00.00.00No change1NormalizationUNF:6:Lsi6yMT+tk4CrjypyFNeNQ==.0.00.753.00.436435780471984764.01.01.0UNF:6:3YOJf69yIIFWea6lE8gkwg==0.367946484403119926.00.84615384615384611.01.0.41.00.0UNF:6:Qk3T4npKzcZucE9VS58pRw==L:A ratio cutoff 1.360.026.00.00.153846153846153880.3679464844031199441.0.1.00No change1ImprovementUNF:6:s5eWjOGiaZI1iz1Ecu+Ojg==3.064.00.478713553878169050.01.00.656251.0.UNF:6:GgFQ0DTtsi3gsMvmM7CKHQ==26.00.73076923076923071.00.4523443208612048.41.01.00.0UNF:6:jXdYM+Q1T4sGHjnJExxz/g==3.00.01.01.0.64.00.6250.4879500364742666UNF:6:lRkz5oitg6bcEVLPhrT6GA==41.00.026.01.0.0.69230769230769231.00.47067872433164154UNF:6:+xzGB/rrwmVqHopqqM5ydg==.0.468750.03.00.00.502967385101847864.01.0UNF:6:/zdrHS0CwLxzeHdvQGw0nQ==0.346153846153846150.026.0.0.485164524037583941.00.01.0UNF:6:saH0KqP1KtxobdU1xH5HuA==L:A ratio cutoff 1.880.041.00.15384615384615388.26.00.00.367946484403119941.00No change1ImprovementUNF:6:b08t+hnyLRuYW+Ld4Obt5Q==L:A ratio cutoff 2.20.00.0.0.192307692307692320.4019184762342501441.01.026.01Improvement0No changeUNF:6:Rs4BPjbH2+fBDFxu2wCHQw==L:A ratio cutoff 3.65.0.00.01.00.2307692307692307341.00.429668924423659726.00No change1ImprovementUNF:6:y+YFvHFeL9b7U5x1rSzJfw==1.0.0.492307692307692340.50383147365577862.00.065.00.0UNF:6:N0paFMeQODVnWUggn1n4pg==41.00.0.0.50383147365577881.026.00.4230769230769230.0UNF:6:u4rbjG3X+dEqzDTcgIV7RA==1.00.026.01.0.0.69230769230769230.470678724331641741.01No change0ImprovedUNF:6:9SqB1nCsLO+ODWwFklsfMg==41.00.346153846153846150.48516452403758391.0.26.00.00.0UNF:6:Fu2zVqpHUEbzQdbjJRbOyQ==1.02.00.493710441453287460.00.00.39999999999999997.65.0UNF:6:oZ/z7RFBCzP/6x+KDtFM6A==26.00.88461538461538460.325812593608421131.00.041.01.0.0Improvement1No improvementUNF:6:WkpOf0QJOSXrDMIFyjYfDA==1.0.66.01.00.00.50.50.5038314736557788UNF:6:mpxBlzYl1abrHb2bIRvrsA==0.00.50917507721731561.0.0.518518518518518540.01.027.0UNF:6:q2AldM3ot1ZcLDCxFB8yAA==1.01.00.395847390663569527.00.8148148148148148.0.040.00Normalisation1No changeUNF:6:6ANCNdeWJUyxyX4FLGqtAQ==1.00.03.01.00.40550526976788330.796875.64.0UNF:6:qmd0qD3UsloIAwvtvLvHVQ==1.01.041.026.00.3258125936084210.0.0.8846153846153846UNF:6:cndu+R0NAgPA7Q5I8daL7A==.0.01.00.32581259360842141.026.00.88461538461538461.01No change0NormalisationUNF:6:cndu+R0NAgPA7Q5I8daL7A==00_ReadMe.txttext/plainMetabolic_changes_after_weight_loss.txtPlain text version of datasettext/plainMetabolic_changes_after_weight_loss.xlsxMicrosoft Excel version of datasetapplication/vnd.openxmlformats-officedocument.spreadsheetml.sheet