Multi-disciplinary weight management compared to routine care in youth with obesity: what else should be monitored?

Purpose Efficacy of multi-disciplinary weight management (MDM) in youth has not been compared to their routine care. Objectives To compare body mass index z-score (zBMI) and blood test (lab) changes (Δ) in youth before and after MDM and to correlate bio-impedance analysis (BIA) and lab measurements....
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Majumdar, Indrajit [verfasserIn] Espino, Brittany [verfasserIn] Bianco, Kristina [verfasserIn] Epstein, Jeanette [verfasserIn] Mamilly, Leena [verfasserIn] Harmon, Carroll M. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Youth with obesity Multi-disciplinary management Bio-impedance analysis

Übergeordnetes Werk:	Enthalten in: Endocrine - [S.l.] : Springer, 1995, 65(2019), 2 vom: 27. Juni, Seite 263-269
Übergeordnetes Werk:	volume:65 ; year:2019 ; number:2 ; day:27 ; month:06 ; pages:263-269

Links:	Volltext

DOI / URN:	10.1007/s12020-019-01988-9

Katalog-ID:	SPR023748184

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520			\|a Purpose Efficacy of multi-disciplinary weight management (MDM) in youth has not been compared to their routine care. Objectives To compare body mass index z-score (zBMI) and blood test (lab) changes (Δ) in youth before and after MDM and to correlate bio-impedance analysis (BIA) and lab measurements. Methods We compared zBMI Δ (from referring providers’ records), within 3 months prior to MDM, to monthly zBMI Δ after MDM, in a retrospective cohort of youth at a tertiary MDM center. BIA and lab measurements after 6 months, MDM were compared to baseline. Results We reviewed 316 records (12.9 ± 3.5 years, 49% males, 104.8 ± 35.1 kgs). The pre-MDM zBMI Δ (0.02 ± 0.1) was reversed after MDM (−0.03 ± 0.09, visit 2, P < 0.001). The zBMI Δ progressed on follow-up (−0.14 ± 0.05, visit 6). Baseline BIA components correlated with Homeostatic Model Assessment of Insulin resistance (HOMA-IR), triglycerides, and systolic blood pressure. HbA1c, HOMA-IR, and liver functions significantly improved on follow-up. MDM participation showed progressive attrition and dropped to 11.6% at visit 6. Conclusion MDM in youth resulted in zBMI and lab improvements compared to their pre-MDM measurements. BIA provided additional outcome measures that correlated with metabolic markers. MDM follow-up was limited by the progressive participant drop-out. Behavioral economic strategies are needed to improve adherence.
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700	1		\|a Harmon, Carroll M. \|e verfasserin \|4 aut
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allfields	10.1007/s12020-019-01988-9 doi (DE-627)SPR023748184 (SPR)s12020-019-01988-9-e DE-627 ger DE-627 rakwb eng 610 ASE 44.89 bkl Majumdar, Indrajit verfasserin aut Multi-disciplinary weight management compared to routine care in youth with obesity: what else should be monitored? 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose Efficacy of multi-disciplinary weight management (MDM) in youth has not been compared to their routine care. Objectives To compare body mass index z-score (zBMI) and blood test (lab) changes (Δ) in youth before and after MDM and to correlate bio-impedance analysis (BIA) and lab measurements. Methods We compared zBMI Δ (from referring providers’ records), within 3 months prior to MDM, to monthly zBMI Δ after MDM, in a retrospective cohort of youth at a tertiary MDM center. BIA and lab measurements after 6 months, MDM were compared to baseline. Results We reviewed 316 records (12.9 ± 3.5 years, 49% males, 104.8 ± 35.1 kgs). The pre-MDM zBMI Δ (0.02 ± 0.1) was reversed after MDM (−0.03 ± 0.09, visit 2, P < 0.001). The zBMI Δ progressed on follow-up (−0.14 ± 0.05, visit 6). Baseline BIA components correlated with Homeostatic Model Assessment of Insulin resistance (HOMA-IR), triglycerides, and systolic blood pressure. HbA1c, HOMA-IR, and liver functions significantly improved on follow-up. MDM participation showed progressive attrition and dropped to 11.6% at visit 6. Conclusion MDM in youth resulted in zBMI and lab improvements compared to their pre-MDM measurements. BIA provided additional outcome measures that correlated with metabolic markers. MDM follow-up was limited by the progressive participant drop-out. Behavioral economic strategies are needed to improve adherence. Youth with obesity (dpeaa)DE-He213 Multi-disciplinary management (dpeaa)DE-He213 Bio-impedance analysis (dpeaa)DE-He213 Espino, Brittany verfasserin aut Bianco, Kristina verfasserin aut Epstein, Jeanette verfasserin aut Mamilly, Leena verfasserin aut Harmon, Carroll M. verfasserin aut Enthalten in Endocrine [S.l.] : Springer, 1995 65(2019), 2 vom: 27. Juni, Seite 263-269 (DE-627)343970171 (DE-600)2074043-8 1559-0100 nnns volume:65 year:2019 number:2 day:27 month:06 pages:263-269 https://dx.doi.org/10.1007/s12020-019-01988-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.89 ASE AR 65 2019 2 27 06 263-269
spelling	10.1007/s12020-019-01988-9 doi (DE-627)SPR023748184 (SPR)s12020-019-01988-9-e DE-627 ger DE-627 rakwb eng 610 ASE 44.89 bkl Majumdar, Indrajit verfasserin aut Multi-disciplinary weight management compared to routine care in youth with obesity: what else should be monitored? 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose Efficacy of multi-disciplinary weight management (MDM) in youth has not been compared to their routine care. Objectives To compare body mass index z-score (zBMI) and blood test (lab) changes (Δ) in youth before and after MDM and to correlate bio-impedance analysis (BIA) and lab measurements. Methods We compared zBMI Δ (from referring providers’ records), within 3 months prior to MDM, to monthly zBMI Δ after MDM, in a retrospective cohort of youth at a tertiary MDM center. BIA and lab measurements after 6 months, MDM were compared to baseline. Results We reviewed 316 records (12.9 ± 3.5 years, 49% males, 104.8 ± 35.1 kgs). The pre-MDM zBMI Δ (0.02 ± 0.1) was reversed after MDM (−0.03 ± 0.09, visit 2, P < 0.001). The zBMI Δ progressed on follow-up (−0.14 ± 0.05, visit 6). Baseline BIA components correlated with Homeostatic Model Assessment of Insulin resistance (HOMA-IR), triglycerides, and systolic blood pressure. HbA1c, HOMA-IR, and liver functions significantly improved on follow-up. MDM participation showed progressive attrition and dropped to 11.6% at visit 6. Conclusion MDM in youth resulted in zBMI and lab improvements compared to their pre-MDM measurements. BIA provided additional outcome measures that correlated with metabolic markers. MDM follow-up was limited by the progressive participant drop-out. Behavioral economic strategies are needed to improve adherence. Youth with obesity (dpeaa)DE-He213 Multi-disciplinary management (dpeaa)DE-He213 Bio-impedance analysis (dpeaa)DE-He213 Espino, Brittany verfasserin aut Bianco, Kristina verfasserin aut Epstein, Jeanette verfasserin aut Mamilly, Leena verfasserin aut Harmon, Carroll M. verfasserin aut Enthalten in Endocrine [S.l.] : Springer, 1995 65(2019), 2 vom: 27. Juni, Seite 263-269 (DE-627)343970171 (DE-600)2074043-8 1559-0100 nnns volume:65 year:2019 number:2 day:27 month:06 pages:263-269 https://dx.doi.org/10.1007/s12020-019-01988-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.89 ASE AR 65 2019 2 27 06 263-269
allfields_unstemmed	10.1007/s12020-019-01988-9 doi (DE-627)SPR023748184 (SPR)s12020-019-01988-9-e DE-627 ger DE-627 rakwb eng 610 ASE 44.89 bkl Majumdar, Indrajit verfasserin aut Multi-disciplinary weight management compared to routine care in youth with obesity: what else should be monitored? 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose Efficacy of multi-disciplinary weight management (MDM) in youth has not been compared to their routine care. Objectives To compare body mass index z-score (zBMI) and blood test (lab) changes (Δ) in youth before and after MDM and to correlate bio-impedance analysis (BIA) and lab measurements. Methods We compared zBMI Δ (from referring providers’ records), within 3 months prior to MDM, to monthly zBMI Δ after MDM, in a retrospective cohort of youth at a tertiary MDM center. BIA and lab measurements after 6 months, MDM were compared to baseline. Results We reviewed 316 records (12.9 ± 3.5 years, 49% males, 104.8 ± 35.1 kgs). The pre-MDM zBMI Δ (0.02 ± 0.1) was reversed after MDM (−0.03 ± 0.09, visit 2, P < 0.001). The zBMI Δ progressed on follow-up (−0.14 ± 0.05, visit 6). Baseline BIA components correlated with Homeostatic Model Assessment of Insulin resistance (HOMA-IR), triglycerides, and systolic blood pressure. HbA1c, HOMA-IR, and liver functions significantly improved on follow-up. MDM participation showed progressive attrition and dropped to 11.6% at visit 6. Conclusion MDM in youth resulted in zBMI and lab improvements compared to their pre-MDM measurements. BIA provided additional outcome measures that correlated with metabolic markers. MDM follow-up was limited by the progressive participant drop-out. Behavioral economic strategies are needed to improve adherence. Youth with obesity (dpeaa)DE-He213 Multi-disciplinary management (dpeaa)DE-He213 Bio-impedance analysis (dpeaa)DE-He213 Espino, Brittany verfasserin aut Bianco, Kristina verfasserin aut Epstein, Jeanette verfasserin aut Mamilly, Leena verfasserin aut Harmon, Carroll M. verfasserin aut Enthalten in Endocrine [S.l.] : Springer, 1995 65(2019), 2 vom: 27. Juni, Seite 263-269 (DE-627)343970171 (DE-600)2074043-8 1559-0100 nnns volume:65 year:2019 number:2 day:27 month:06 pages:263-269 https://dx.doi.org/10.1007/s12020-019-01988-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.89 ASE AR 65 2019 2 27 06 263-269
allfieldsGer	10.1007/s12020-019-01988-9 doi (DE-627)SPR023748184 (SPR)s12020-019-01988-9-e DE-627 ger DE-627 rakwb eng 610 ASE 44.89 bkl Majumdar, Indrajit verfasserin aut Multi-disciplinary weight management compared to routine care in youth with obesity: what else should be monitored? 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose Efficacy of multi-disciplinary weight management (MDM) in youth has not been compared to their routine care. Objectives To compare body mass index z-score (zBMI) and blood test (lab) changes (Δ) in youth before and after MDM and to correlate bio-impedance analysis (BIA) and lab measurements. Methods We compared zBMI Δ (from referring providers’ records), within 3 months prior to MDM, to monthly zBMI Δ after MDM, in a retrospective cohort of youth at a tertiary MDM center. BIA and lab measurements after 6 months, MDM were compared to baseline. Results We reviewed 316 records (12.9 ± 3.5 years, 49% males, 104.8 ± 35.1 kgs). The pre-MDM zBMI Δ (0.02 ± 0.1) was reversed after MDM (−0.03 ± 0.09, visit 2, P < 0.001). The zBMI Δ progressed on follow-up (−0.14 ± 0.05, visit 6). Baseline BIA components correlated with Homeostatic Model Assessment of Insulin resistance (HOMA-IR), triglycerides, and systolic blood pressure. HbA1c, HOMA-IR, and liver functions significantly improved on follow-up. MDM participation showed progressive attrition and dropped to 11.6% at visit 6. Conclusion MDM in youth resulted in zBMI and lab improvements compared to their pre-MDM measurements. BIA provided additional outcome measures that correlated with metabolic markers. MDM follow-up was limited by the progressive participant drop-out. Behavioral economic strategies are needed to improve adherence. Youth with obesity (dpeaa)DE-He213 Multi-disciplinary management (dpeaa)DE-He213 Bio-impedance analysis (dpeaa)DE-He213 Espino, Brittany verfasserin aut Bianco, Kristina verfasserin aut Epstein, Jeanette verfasserin aut Mamilly, Leena verfasserin aut Harmon, Carroll M. verfasserin aut Enthalten in Endocrine [S.l.] : Springer, 1995 65(2019), 2 vom: 27. Juni, Seite 263-269 (DE-627)343970171 (DE-600)2074043-8 1559-0100 nnns volume:65 year:2019 number:2 day:27 month:06 pages:263-269 https://dx.doi.org/10.1007/s12020-019-01988-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.89 ASE AR 65 2019 2 27 06 263-269
allfieldsSound	10.1007/s12020-019-01988-9 doi (DE-627)SPR023748184 (SPR)s12020-019-01988-9-e DE-627 ger DE-627 rakwb eng 610 ASE 44.89 bkl Majumdar, Indrajit verfasserin aut Multi-disciplinary weight management compared to routine care in youth with obesity: what else should be monitored? 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose Efficacy of multi-disciplinary weight management (MDM) in youth has not been compared to their routine care. Objectives To compare body mass index z-score (zBMI) and blood test (lab) changes (Δ) in youth before and after MDM and to correlate bio-impedance analysis (BIA) and lab measurements. Methods We compared zBMI Δ (from referring providers’ records), within 3 months prior to MDM, to monthly zBMI Δ after MDM, in a retrospective cohort of youth at a tertiary MDM center. BIA and lab measurements after 6 months, MDM were compared to baseline. Results We reviewed 316 records (12.9 ± 3.5 years, 49% males, 104.8 ± 35.1 kgs). The pre-MDM zBMI Δ (0.02 ± 0.1) was reversed after MDM (−0.03 ± 0.09, visit 2, P < 0.001). The zBMI Δ progressed on follow-up (−0.14 ± 0.05, visit 6). Baseline BIA components correlated with Homeostatic Model Assessment of Insulin resistance (HOMA-IR), triglycerides, and systolic blood pressure. HbA1c, HOMA-IR, and liver functions significantly improved on follow-up. MDM participation showed progressive attrition and dropped to 11.6% at visit 6. Conclusion MDM in youth resulted in zBMI and lab improvements compared to their pre-MDM measurements. BIA provided additional outcome measures that correlated with metabolic markers. MDM follow-up was limited by the progressive participant drop-out. Behavioral economic strategies are needed to improve adherence. Youth with obesity (dpeaa)DE-He213 Multi-disciplinary management (dpeaa)DE-He213 Bio-impedance analysis (dpeaa)DE-He213 Espino, Brittany verfasserin aut Bianco, Kristina verfasserin aut Epstein, Jeanette verfasserin aut Mamilly, Leena verfasserin aut Harmon, Carroll M. verfasserin aut Enthalten in Endocrine [S.l.] : Springer, 1995 65(2019), 2 vom: 27. Juni, Seite 263-269 (DE-627)343970171 (DE-600)2074043-8 1559-0100 nnns volume:65 year:2019 number:2 day:27 month:06 pages:263-269 https://dx.doi.org/10.1007/s12020-019-01988-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.89 ASE AR 65 2019 2 27 06 263-269
language	English
source	Enthalten in Endocrine 65(2019), 2 vom: 27. Juni, Seite 263-269 volume:65 year:2019 number:2 day:27 month:06 pages:263-269
sourceStr	Enthalten in Endocrine 65(2019), 2 vom: 27. Juni, Seite 263-269 volume:65 year:2019 number:2 day:27 month:06 pages:263-269
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Youth with obesity Multi-disciplinary management Bio-impedance analysis
dewey-raw	610
isfreeaccess_bool	false
container_title	Endocrine
authorswithroles_txt_mv	Majumdar, Indrajit @@aut@@ Espino, Brittany @@aut@@ Bianco, Kristina @@aut@@ Epstein, Jeanette @@aut@@ Mamilly, Leena @@aut@@ Harmon, Carroll M. @@aut@@
publishDateDaySort_date	2019-06-27T00:00:00Z
hierarchy_top_id	343970171
dewey-sort	3610
id	SPR023748184
language_de	englisch
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Objectives To compare body mass index z-score (zBMI) and blood test (lab) changes (Δ) in youth before and after MDM and to correlate bio-impedance analysis (BIA) and lab measurements. Methods We compared zBMI Δ (from referring providers’ records), within 3 months prior to MDM, to monthly zBMI Δ after MDM, in a retrospective cohort of youth at a tertiary MDM center. BIA and lab measurements after 6 months, MDM were compared to baseline. Results We reviewed 316 records (12.9 ± 3.5 years, 49% males, 104.8 ± 35.1 kgs). The pre-MDM zBMI Δ (0.02 ± 0.1) was reversed after MDM (−0.03 ± 0.09, visit 2, P < 0.001). The zBMI Δ progressed on follow-up (−0.14 ± 0.05, visit 6). Baseline BIA components correlated with Homeostatic Model Assessment of Insulin resistance (HOMA-IR), triglycerides, and systolic blood pressure. HbA1c, HOMA-IR, and liver functions significantly improved on follow-up. MDM participation showed progressive attrition and dropped to 11.6% at visit 6. 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author	Majumdar, Indrajit
spellingShingle	Majumdar, Indrajit ddc 610 bkl 44.89 misc Youth with obesity misc Multi-disciplinary management misc Bio-impedance analysis Multi-disciplinary weight management compared to routine care in youth with obesity: what else should be monitored?
authorStr	Majumdar, Indrajit
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topic_title	610 ASE 44.89 bkl Multi-disciplinary weight management compared to routine care in youth with obesity: what else should be monitored? Youth with obesity (dpeaa)DE-He213 Multi-disciplinary management (dpeaa)DE-He213 Bio-impedance analysis (dpeaa)DE-He213
topic	ddc 610 bkl 44.89 misc Youth with obesity misc Multi-disciplinary management misc Bio-impedance analysis
topic_unstemmed	ddc 610 bkl 44.89 misc Youth with obesity misc Multi-disciplinary management misc Bio-impedance analysis
topic_browse	ddc 610 bkl 44.89 misc Youth with obesity misc Multi-disciplinary management misc Bio-impedance analysis
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title	Multi-disciplinary weight management compared to routine care in youth with obesity: what else should be monitored?
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title_full	Multi-disciplinary weight management compared to routine care in youth with obesity: what else should be monitored?
author_sort	Majumdar, Indrajit
journal	Endocrine
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author_browse	Majumdar, Indrajit Espino, Brittany Bianco, Kristina Epstein, Jeanette Mamilly, Leena Harmon, Carroll M.
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title_sort	multi-disciplinary weight management compared to routine care in youth with obesity: what else should be monitored?
title_auth	Multi-disciplinary weight management compared to routine care in youth with obesity: what else should be monitored?
abstract	Purpose Efficacy of multi-disciplinary weight management (MDM) in youth has not been compared to their routine care. Objectives To compare body mass index z-score (zBMI) and blood test (lab) changes (Δ) in youth before and after MDM and to correlate bio-impedance analysis (BIA) and lab measurements. Methods We compared zBMI Δ (from referring providers’ records), within 3 months prior to MDM, to monthly zBMI Δ after MDM, in a retrospective cohort of youth at a tertiary MDM center. BIA and lab measurements after 6 months, MDM were compared to baseline. Results We reviewed 316 records (12.9 ± 3.5 years, 49% males, 104.8 ± 35.1 kgs). The pre-MDM zBMI Δ (0.02 ± 0.1) was reversed after MDM (−0.03 ± 0.09, visit 2, P < 0.001). The zBMI Δ progressed on follow-up (−0.14 ± 0.05, visit 6). Baseline BIA components correlated with Homeostatic Model Assessment of Insulin resistance (HOMA-IR), triglycerides, and systolic blood pressure. HbA1c, HOMA-IR, and liver functions significantly improved on follow-up. MDM participation showed progressive attrition and dropped to 11.6% at visit 6. Conclusion MDM in youth resulted in zBMI and lab improvements compared to their pre-MDM measurements. BIA provided additional outcome measures that correlated with metabolic markers. MDM follow-up was limited by the progressive participant drop-out. Behavioral economic strategies are needed to improve adherence.
abstractGer	Purpose Efficacy of multi-disciplinary weight management (MDM) in youth has not been compared to their routine care. Objectives To compare body mass index z-score (zBMI) and blood test (lab) changes (Δ) in youth before and after MDM and to correlate bio-impedance analysis (BIA) and lab measurements. Methods We compared zBMI Δ (from referring providers’ records), within 3 months prior to MDM, to monthly zBMI Δ after MDM, in a retrospective cohort of youth at a tertiary MDM center. BIA and lab measurements after 6 months, MDM were compared to baseline. Results We reviewed 316 records (12.9 ± 3.5 years, 49% males, 104.8 ± 35.1 kgs). The pre-MDM zBMI Δ (0.02 ± 0.1) was reversed after MDM (−0.03 ± 0.09, visit 2, P < 0.001). The zBMI Δ progressed on follow-up (−0.14 ± 0.05, visit 6). Baseline BIA components correlated with Homeostatic Model Assessment of Insulin resistance (HOMA-IR), triglycerides, and systolic blood pressure. HbA1c, HOMA-IR, and liver functions significantly improved on follow-up. MDM participation showed progressive attrition and dropped to 11.6% at visit 6. Conclusion MDM in youth resulted in zBMI and lab improvements compared to their pre-MDM measurements. BIA provided additional outcome measures that correlated with metabolic markers. MDM follow-up was limited by the progressive participant drop-out. Behavioral economic strategies are needed to improve adherence.
abstract_unstemmed	Purpose Efficacy of multi-disciplinary weight management (MDM) in youth has not been compared to their routine care. Objectives To compare body mass index z-score (zBMI) and blood test (lab) changes (Δ) in youth before and after MDM and to correlate bio-impedance analysis (BIA) and lab measurements. Methods We compared zBMI Δ (from referring providers’ records), within 3 months prior to MDM, to monthly zBMI Δ after MDM, in a retrospective cohort of youth at a tertiary MDM center. BIA and lab measurements after 6 months, MDM were compared to baseline. Results We reviewed 316 records (12.9 ± 3.5 years, 49% males, 104.8 ± 35.1 kgs). The pre-MDM zBMI Δ (0.02 ± 0.1) was reversed after MDM (−0.03 ± 0.09, visit 2, P < 0.001). The zBMI Δ progressed on follow-up (−0.14 ± 0.05, visit 6). Baseline BIA components correlated with Homeostatic Model Assessment of Insulin resistance (HOMA-IR), triglycerides, and systolic blood pressure. HbA1c, HOMA-IR, and liver functions significantly improved on follow-up. MDM participation showed progressive attrition and dropped to 11.6% at visit 6. Conclusion MDM in youth resulted in zBMI and lab improvements compared to their pre-MDM measurements. BIA provided additional outcome measures that correlated with metabolic markers. MDM follow-up was limited by the progressive participant drop-out. Behavioral economic strategies are needed to improve adherence.
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title_short	Multi-disciplinary weight management compared to routine care in youth with obesity: what else should be monitored?
url	https://dx.doi.org/10.1007/s12020-019-01988-9
remote_bool	true
author2	Espino, Brittany Bianco, Kristina Epstein, Jeanette Mamilly, Leena Harmon, Carroll M.
author2Str	Espino, Brittany Bianco, Kristina Epstein, Jeanette Mamilly, Leena Harmon, Carroll M.
ppnlink	343970171
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doi_str	10.1007/s12020-019-01988-9
up_date	2024-07-03T21:06:02.896Z
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Multi-disciplinary weight management compared to routine care in youth with obesity: what else should be monitored?

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