Joint analysis of fasting and postprandial plasma glucose and insulin concentrations in Venezuelan women

Aims: Plasma glucose and insulin concentrations in fasting and postprandial reflect the metabolism of glucose by the human body and are useful in the diagnosis of metabolic diseases, such as diabetes and insulin resistance. In this work, these concentrations are jointly analyzed in Venezuelan women...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Altuve, Miguel [verfasserIn] Severeyn, Erika [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Oral glucose tolerance test Glucose Insulin Statistical analysis Confidence intervals

Übergeordnetes Werk:	Enthalten in: Diabetes & metabolic syndrome - Amsterdam [u.a.] : Elsevier, 2007, 13, Seite 2242-2248
Übergeordnetes Werk:	volume:13 ; pages:2242-2248

DOI / URN:	10.1016/j.dsx.2019.05.029

Katalog-ID:	ELV002494108

Internformat


LEADER	01000caa a22002652 4500
001	ELV002494108
003	DE-627
005	20230524150120.0
007	cr uuu---uuuuu
008	230429s2019 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.1016/j.dsx.2019.05.029 \|2 doi
035			\|a (DE-627)ELV002494108
035			\|a (ELSEVIER)S1871-4021(19)30307-8
040			\|a DE-627 \|b ger \|c DE-627 \|e rda
041			\|a eng
082	0	4	\|a 610 \|q DE-600
084			\|a 44.89 \|2 bkl
100	1		\|a Altuve, Miguel \|e verfasserin \|4 aut
245	1	0	\|a Joint analysis of fasting and postprandial plasma glucose and insulin concentrations in Venezuelan women
264		1	\|c 2019
336			\|a nicht spezifiziert \|b zzz \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a Aims: Plasma glucose and insulin concentrations in fasting and postprandial reflect the metabolism of glucose by the human body and are useful in the diagnosis of metabolic diseases, such as diabetes and insulin resistance. In this work, these concentrations are jointly analyzed in Venezuelan women and 28 classes that better specify each metabolic condition are generated.Materials and methods: Each class comprises a combination of fasting and postprandial ranges of glucose and insulin concentrations defined in the literature as normal, impaired and diabetic. A hypothesis test was used to find statistically significant differences between the classes, and confidence intervals for age and glucose and insulin concentrations were defined for each class.Results and conclusion: The process of deterioration of glucose metabolism advances with the age of the subject, more than half of the prediabetics have impaired glucose levels in fasting but normal in postprandial and normal insulin levels in fasting and postprandial, and one third of diabetics have diabetic glucose levels in fasting and postprandial and normal insulin levels in fasting and postprandial. This categorization of subjects would allow the application of a more specific treatment and the possibility of predicting the progress of the metabolic disorder.
650		4	\|a Oral glucose tolerance test
650		4	\|a Glucose
650		4	\|a Insulin
650		4	\|a Statistical analysis
650		4	\|a Confidence intervals
700	1		\|a Severeyn, Erika \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Diabetes & metabolic syndrome \|d Amsterdam [u.a.] : Elsevier, 2007 \|g 13, Seite 2242-2248 \|h Online-Ressource \|w (DE-627)525874976 \|w (DE-600)2273766-2 \|w (DE-576)267763328 \|x 1878-0334 \|7 nnns
773	1	8	\|g volume:13 \|g pages:2242-2248
912			\|a GBV_USEFLAG_U
912			\|a SYSFLAG_U
912			\|a GBV_ELV
912			\|a SSG-OLC-PHA
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_32
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
912			\|a GBV_ILN_101
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_224
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2001
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2008
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2026
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2055
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2147
912			\|a GBV_ILN_2148
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2232
912			\|a GBV_ILN_2470
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_2522
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4046
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4333
912			\|a GBV_ILN_4334
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4393
936	b	k	\|a 44.89 \|j Endokrinologie
951			\|a AR
952			\|d 13 \|h 2242-2248

Indexfelder

author_variant	m a ma e s es
matchkey_str	article:18780334:2019----::onaayiofsignpspadapamguoenislnocn
hierarchy_sort_str	2019
bklnumber	44.89
publishDate	2019
allfields	10.1016/j.dsx.2019.05.029 doi (DE-627)ELV002494108 (ELSEVIER)S1871-4021(19)30307-8 DE-627 ger DE-627 rda eng 610 DE-600 44.89 bkl Altuve, Miguel verfasserin aut Joint analysis of fasting and postprandial plasma glucose and insulin concentrations in Venezuelan women 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aims: Plasma glucose and insulin concentrations in fasting and postprandial reflect the metabolism of glucose by the human body and are useful in the diagnosis of metabolic diseases, such as diabetes and insulin resistance. In this work, these concentrations are jointly analyzed in Venezuelan women and 28 classes that better specify each metabolic condition are generated.Materials and methods: Each class comprises a combination of fasting and postprandial ranges of glucose and insulin concentrations defined in the literature as normal, impaired and diabetic. A hypothesis test was used to find statistically significant differences between the classes, and confidence intervals for age and glucose and insulin concentrations were defined for each class.Results and conclusion: The process of deterioration of glucose metabolism advances with the age of the subject, more than half of the prediabetics have impaired glucose levels in fasting but normal in postprandial and normal insulin levels in fasting and postprandial, and one third of diabetics have diabetic glucose levels in fasting and postprandial and normal insulin levels in fasting and postprandial. This categorization of subjects would allow the application of a more specific treatment and the possibility of predicting the progress of the metabolic disorder. Oral glucose tolerance test Glucose Insulin Statistical analysis Confidence intervals Severeyn, Erika verfasserin aut Enthalten in Diabetes & metabolic syndrome Amsterdam [u.a.] : Elsevier, 2007 13, Seite 2242-2248 Online-Ressource (DE-627)525874976 (DE-600)2273766-2 (DE-576)267763328 1878-0334 nnns volume:13 pages:2242-2248 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 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_4338 GBV_ILN_4393 44.89 Endokrinologie AR 13 2242-2248
spelling	10.1016/j.dsx.2019.05.029 doi (DE-627)ELV002494108 (ELSEVIER)S1871-4021(19)30307-8 DE-627 ger DE-627 rda eng 610 DE-600 44.89 bkl Altuve, Miguel verfasserin aut Joint analysis of fasting and postprandial plasma glucose and insulin concentrations in Venezuelan women 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aims: Plasma glucose and insulin concentrations in fasting and postprandial reflect the metabolism of glucose by the human body and are useful in the diagnosis of metabolic diseases, such as diabetes and insulin resistance. In this work, these concentrations are jointly analyzed in Venezuelan women and 28 classes that better specify each metabolic condition are generated.Materials and methods: Each class comprises a combination of fasting and postprandial ranges of glucose and insulin concentrations defined in the literature as normal, impaired and diabetic. A hypothesis test was used to find statistically significant differences between the classes, and confidence intervals for age and glucose and insulin concentrations were defined for each class.Results and conclusion: The process of deterioration of glucose metabolism advances with the age of the subject, more than half of the prediabetics have impaired glucose levels in fasting but normal in postprandial and normal insulin levels in fasting and postprandial, and one third of diabetics have diabetic glucose levels in fasting and postprandial and normal insulin levels in fasting and postprandial. This categorization of subjects would allow the application of a more specific treatment and the possibility of predicting the progress of the metabolic disorder. Oral glucose tolerance test Glucose Insulin Statistical analysis Confidence intervals Severeyn, Erika verfasserin aut Enthalten in Diabetes & metabolic syndrome Amsterdam [u.a.] : Elsevier, 2007 13, Seite 2242-2248 Online-Ressource (DE-627)525874976 (DE-600)2273766-2 (DE-576)267763328 1878-0334 nnns volume:13 pages:2242-2248 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 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_4338 GBV_ILN_4393 44.89 Endokrinologie AR 13 2242-2248
allfields_unstemmed	10.1016/j.dsx.2019.05.029 doi (DE-627)ELV002494108 (ELSEVIER)S1871-4021(19)30307-8 DE-627 ger DE-627 rda eng 610 DE-600 44.89 bkl Altuve, Miguel verfasserin aut Joint analysis of fasting and postprandial plasma glucose and insulin concentrations in Venezuelan women 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aims: Plasma glucose and insulin concentrations in fasting and postprandial reflect the metabolism of glucose by the human body and are useful in the diagnosis of metabolic diseases, such as diabetes and insulin resistance. In this work, these concentrations are jointly analyzed in Venezuelan women and 28 classes that better specify each metabolic condition are generated.Materials and methods: Each class comprises a combination of fasting and postprandial ranges of glucose and insulin concentrations defined in the literature as normal, impaired and diabetic. A hypothesis test was used to find statistically significant differences between the classes, and confidence intervals for age and glucose and insulin concentrations were defined for each class.Results and conclusion: The process of deterioration of glucose metabolism advances with the age of the subject, more than half of the prediabetics have impaired glucose levels in fasting but normal in postprandial and normal insulin levels in fasting and postprandial, and one third of diabetics have diabetic glucose levels in fasting and postprandial and normal insulin levels in fasting and postprandial. This categorization of subjects would allow the application of a more specific treatment and the possibility of predicting the progress of the metabolic disorder. Oral glucose tolerance test Glucose Insulin Statistical analysis Confidence intervals Severeyn, Erika verfasserin aut Enthalten in Diabetes & metabolic syndrome Amsterdam [u.a.] : Elsevier, 2007 13, Seite 2242-2248 Online-Ressource (DE-627)525874976 (DE-600)2273766-2 (DE-576)267763328 1878-0334 nnns volume:13 pages:2242-2248 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 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_4338 GBV_ILN_4393 44.89 Endokrinologie AR 13 2242-2248
allfieldsGer	10.1016/j.dsx.2019.05.029 doi (DE-627)ELV002494108 (ELSEVIER)S1871-4021(19)30307-8 DE-627 ger DE-627 rda eng 610 DE-600 44.89 bkl Altuve, Miguel verfasserin aut Joint analysis of fasting and postprandial plasma glucose and insulin concentrations in Venezuelan women 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aims: Plasma glucose and insulin concentrations in fasting and postprandial reflect the metabolism of glucose by the human body and are useful in the diagnosis of metabolic diseases, such as diabetes and insulin resistance. In this work, these concentrations are jointly analyzed in Venezuelan women and 28 classes that better specify each metabolic condition are generated.Materials and methods: Each class comprises a combination of fasting and postprandial ranges of glucose and insulin concentrations defined in the literature as normal, impaired and diabetic. A hypothesis test was used to find statistically significant differences between the classes, and confidence intervals for age and glucose and insulin concentrations were defined for each class.Results and conclusion: The process of deterioration of glucose metabolism advances with the age of the subject, more than half of the prediabetics have impaired glucose levels in fasting but normal in postprandial and normal insulin levels in fasting and postprandial, and one third of diabetics have diabetic glucose levels in fasting and postprandial and normal insulin levels in fasting and postprandial. This categorization of subjects would allow the application of a more specific treatment and the possibility of predicting the progress of the metabolic disorder. Oral glucose tolerance test Glucose Insulin Statistical analysis Confidence intervals Severeyn, Erika verfasserin aut Enthalten in Diabetes & metabolic syndrome Amsterdam [u.a.] : Elsevier, 2007 13, Seite 2242-2248 Online-Ressource (DE-627)525874976 (DE-600)2273766-2 (DE-576)267763328 1878-0334 nnns volume:13 pages:2242-2248 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 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_4338 GBV_ILN_4393 44.89 Endokrinologie AR 13 2242-2248
allfieldsSound	10.1016/j.dsx.2019.05.029 doi (DE-627)ELV002494108 (ELSEVIER)S1871-4021(19)30307-8 DE-627 ger DE-627 rda eng 610 DE-600 44.89 bkl Altuve, Miguel verfasserin aut Joint analysis of fasting and postprandial plasma glucose and insulin concentrations in Venezuelan women 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aims: Plasma glucose and insulin concentrations in fasting and postprandial reflect the metabolism of glucose by the human body and are useful in the diagnosis of metabolic diseases, such as diabetes and insulin resistance. In this work, these concentrations are jointly analyzed in Venezuelan women and 28 classes that better specify each metabolic condition are generated.Materials and methods: Each class comprises a combination of fasting and postprandial ranges of glucose and insulin concentrations defined in the literature as normal, impaired and diabetic. A hypothesis test was used to find statistically significant differences between the classes, and confidence intervals for age and glucose and insulin concentrations were defined for each class.Results and conclusion: The process of deterioration of glucose metabolism advances with the age of the subject, more than half of the prediabetics have impaired glucose levels in fasting but normal in postprandial and normal insulin levels in fasting and postprandial, and one third of diabetics have diabetic glucose levels in fasting and postprandial and normal insulin levels in fasting and postprandial. This categorization of subjects would allow the application of a more specific treatment and the possibility of predicting the progress of the metabolic disorder. Oral glucose tolerance test Glucose Insulin Statistical analysis Confidence intervals Severeyn, Erika verfasserin aut Enthalten in Diabetes & metabolic syndrome Amsterdam [u.a.] : Elsevier, 2007 13, Seite 2242-2248 Online-Ressource (DE-627)525874976 (DE-600)2273766-2 (DE-576)267763328 1878-0334 nnns volume:13 pages:2242-2248 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 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_4338 GBV_ILN_4393 44.89 Endokrinologie AR 13 2242-2248
language	English
source	Enthalten in Diabetes & metabolic syndrome 13, Seite 2242-2248 volume:13 pages:2242-2248
sourceStr	Enthalten in Diabetes & metabolic syndrome 13, Seite 2242-2248 volume:13 pages:2242-2248
format_phy_str_mv	Article
bklname	Endokrinologie
institution	findex.gbv.de
topic_facet	Oral glucose tolerance test Glucose Insulin Statistical analysis Confidence intervals
dewey-raw	610
isfreeaccess_bool	false
container_title	Diabetes & metabolic syndrome
authorswithroles_txt_mv	Altuve, Miguel @@aut@@ Severeyn, Erika @@aut@@
publishDateDaySort_date	2019-01-01T00:00:00Z
hierarchy_top_id	525874976
dewey-sort	3610
id	ELV002494108
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV002494108</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230524150120.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230429s2019 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.dsx.2019.05.029</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV002494108</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S1871-4021(19)30307-8</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.89</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Altuve, Miguel</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Joint analysis of fasting and postprandial plasma glucose and insulin concentrations in Venezuelan women</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Aims: Plasma glucose and insulin concentrations in fasting and postprandial reflect the metabolism of glucose by the human body and are useful in the diagnosis of metabolic diseases, such as diabetes and insulin resistance. In this work, these concentrations are jointly analyzed in Venezuelan women and 28 classes that better specify each metabolic condition are generated.Materials and methods: Each class comprises a combination of fasting and postprandial ranges of glucose and insulin concentrations defined in the literature as normal, impaired and diabetic. A hypothesis test was used to find statistically significant differences between the classes, and confidence intervals for age and glucose and insulin concentrations were defined for each class.Results and conclusion: The process of deterioration of glucose metabolism advances with the age of the subject, more than half of the prediabetics have impaired glucose levels in fasting but normal in postprandial and normal insulin levels in fasting and postprandial, and one third of diabetics have diabetic glucose levels in fasting and postprandial and normal insulin levels in fasting and postprandial. This categorization of subjects would allow the application of a more specific treatment and the possibility of predicting the progress of the metabolic disorder.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Oral glucose tolerance test</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Glucose</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Insulin</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistical analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Confidence intervals</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Severeyn, Erika</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Diabetes & metabolic syndrome</subfield><subfield code="d">Amsterdam [u.a.] : Elsevier, 2007</subfield><subfield code="g">13, Seite 2242-2248</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)525874976</subfield><subfield code="w">(DE-600)2273766-2</subfield><subfield code="w">(DE-576)267763328</subfield><subfield code="x">1878-0334</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:13</subfield><subfield code="g">pages:2242-2248</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_101</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2038</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2065</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2068</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2113</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2118</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2522</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.89</subfield><subfield code="j">Endokrinologie</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">13</subfield><subfield code="h">2242-2248</subfield></datafield></record></collection>
author	Altuve, Miguel
spellingShingle	Altuve, Miguel ddc 610 bkl 44.89 misc Oral glucose tolerance test misc Glucose misc Insulin misc Statistical analysis misc Confidence intervals Joint analysis of fasting and postprandial plasma glucose and insulin concentrations in Venezuelan women
authorStr	Altuve, Miguel
ppnlink_with_tag_str_mv	@@773@@(DE-627)525874976
format	electronic Article
dewey-ones	610 - Medicine & health
delete_txt_mv	keep
author_role	aut aut
collection	elsevier
remote_str	true
illustrated	Not Illustrated
issn	1878-0334
topic_title	610 DE-600 44.89 bkl Joint analysis of fasting and postprandial plasma glucose and insulin concentrations in Venezuelan women Oral glucose tolerance test Glucose Insulin Statistical analysis Confidence intervals
topic	ddc 610 bkl 44.89 misc Oral glucose tolerance test misc Glucose misc Insulin misc Statistical analysis misc Confidence intervals
topic_unstemmed	ddc 610 bkl 44.89 misc Oral glucose tolerance test misc Glucose misc Insulin misc Statistical analysis misc Confidence intervals
topic_browse	ddc 610 bkl 44.89 misc Oral glucose tolerance test misc Glucose misc Insulin misc Statistical analysis misc Confidence intervals
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Diabetes & metabolic syndrome
hierarchy_parent_id	525874976
dewey-tens	610 - Medicine & health
hierarchy_top_title	Diabetes & metabolic syndrome
isfreeaccess_txt	false
familylinks_str_mv	(DE-627)525874976 (DE-600)2273766-2 (DE-576)267763328
title	Joint analysis of fasting and postprandial plasma glucose and insulin concentrations in Venezuelan women
ctrlnum	(DE-627)ELV002494108 (ELSEVIER)S1871-4021(19)30307-8
title_full	Joint analysis of fasting and postprandial plasma glucose and insulin concentrations in Venezuelan women
author_sort	Altuve, Miguel
journal	Diabetes & metabolic syndrome
journalStr	Diabetes & metabolic syndrome
lang_code	eng
isOA_bool	false
dewey-hundreds	600 - Technology
recordtype	marc
publishDateSort	2019
contenttype_str_mv	zzz
container_start_page	2242
author_browse	Altuve, Miguel Severeyn, Erika
container_volume	13
class	610 DE-600 44.89 bkl
format_se	Elektronische Aufsätze
author-letter	Altuve, Miguel
doi_str_mv	10.1016/j.dsx.2019.05.029
dewey-full	610
author2-role	verfasserin
title_sort	joint analysis of fasting and postprandial plasma glucose and insulin concentrations in venezuelan women
title_auth	Joint analysis of fasting and postprandial plasma glucose and insulin concentrations in Venezuelan women
abstract	Aims: Plasma glucose and insulin concentrations in fasting and postprandial reflect the metabolism of glucose by the human body and are useful in the diagnosis of metabolic diseases, such as diabetes and insulin resistance. In this work, these concentrations are jointly analyzed in Venezuelan women and 28 classes that better specify each metabolic condition are generated.Materials and methods: Each class comprises a combination of fasting and postprandial ranges of glucose and insulin concentrations defined in the literature as normal, impaired and diabetic. A hypothesis test was used to find statistically significant differences between the classes, and confidence intervals for age and glucose and insulin concentrations were defined for each class.Results and conclusion: The process of deterioration of glucose metabolism advances with the age of the subject, more than half of the prediabetics have impaired glucose levels in fasting but normal in postprandial and normal insulin levels in fasting and postprandial, and one third of diabetics have diabetic glucose levels in fasting and postprandial and normal insulin levels in fasting and postprandial. This categorization of subjects would allow the application of a more specific treatment and the possibility of predicting the progress of the metabolic disorder.
abstractGer	Aims: Plasma glucose and insulin concentrations in fasting and postprandial reflect the metabolism of glucose by the human body and are useful in the diagnosis of metabolic diseases, such as diabetes and insulin resistance. In this work, these concentrations are jointly analyzed in Venezuelan women and 28 classes that better specify each metabolic condition are generated.Materials and methods: Each class comprises a combination of fasting and postprandial ranges of glucose and insulin concentrations defined in the literature as normal, impaired and diabetic. A hypothesis test was used to find statistically significant differences between the classes, and confidence intervals for age and glucose and insulin concentrations were defined for each class.Results and conclusion: The process of deterioration of glucose metabolism advances with the age of the subject, more than half of the prediabetics have impaired glucose levels in fasting but normal in postprandial and normal insulin levels in fasting and postprandial, and one third of diabetics have diabetic glucose levels in fasting and postprandial and normal insulin levels in fasting and postprandial. This categorization of subjects would allow the application of a more specific treatment and the possibility of predicting the progress of the metabolic disorder.
abstract_unstemmed	Aims: Plasma glucose and insulin concentrations in fasting and postprandial reflect the metabolism of glucose by the human body and are useful in the diagnosis of metabolic diseases, such as diabetes and insulin resistance. In this work, these concentrations are jointly analyzed in Venezuelan women and 28 classes that better specify each metabolic condition are generated.Materials and methods: Each class comprises a combination of fasting and postprandial ranges of glucose and insulin concentrations defined in the literature as normal, impaired and diabetic. A hypothesis test was used to find statistically significant differences between the classes, and confidence intervals for age and glucose and insulin concentrations were defined for each class.Results and conclusion: The process of deterioration of glucose metabolism advances with the age of the subject, more than half of the prediabetics have impaired glucose levels in fasting but normal in postprandial and normal insulin levels in fasting and postprandial, and one third of diabetics have diabetic glucose levels in fasting and postprandial and normal insulin levels in fasting and postprandial. This categorization of subjects would allow the application of a more specific treatment and the possibility of predicting the progress of the metabolic disorder.
collection_details	GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 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_4338 GBV_ILN_4393
title_short	Joint analysis of fasting and postprandial plasma glucose and insulin concentrations in Venezuelan women
remote_bool	true
author2	Severeyn, Erika
author2Str	Severeyn, Erika
ppnlink	525874976
mediatype_str_mv	c
isOA_txt	false
hochschulschrift_bool	false
doi_str	10.1016/j.dsx.2019.05.029
up_date	2024-07-07T00:54:50.318Z
_version_	1803879648139935744
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV002494108</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230524150120.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230429s2019 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.dsx.2019.05.029</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV002494108</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S1871-4021(19)30307-8</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.89</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Altuve, Miguel</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Joint analysis of fasting and postprandial plasma glucose and insulin concentrations in Venezuelan women</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Aims: Plasma glucose and insulin concentrations in fasting and postprandial reflect the metabolism of glucose by the human body and are useful in the diagnosis of metabolic diseases, such as diabetes and insulin resistance. In this work, these concentrations are jointly analyzed in Venezuelan women and 28 classes that better specify each metabolic condition are generated.Materials and methods: Each class comprises a combination of fasting and postprandial ranges of glucose and insulin concentrations defined in the literature as normal, impaired and diabetic. A hypothesis test was used to find statistically significant differences between the classes, and confidence intervals for age and glucose and insulin concentrations were defined for each class.Results and conclusion: The process of deterioration of glucose metabolism advances with the age of the subject, more than half of the prediabetics have impaired glucose levels in fasting but normal in postprandial and normal insulin levels in fasting and postprandial, and one third of diabetics have diabetic glucose levels in fasting and postprandial and normal insulin levels in fasting and postprandial. This categorization of subjects would allow the application of a more specific treatment and the possibility of predicting the progress of the metabolic disorder.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Oral glucose tolerance test</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Glucose</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Insulin</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistical analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Confidence intervals</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Severeyn, Erika</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Diabetes & metabolic syndrome</subfield><subfield code="d">Amsterdam [u.a.] : Elsevier, 2007</subfield><subfield code="g">13, Seite 2242-2248</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)525874976</subfield><subfield code="w">(DE-600)2273766-2</subfield><subfield code="w">(DE-576)267763328</subfield><subfield code="x">1878-0334</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:13</subfield><subfield code="g">pages:2242-2248</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_101</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2038</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2065</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2068</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2113</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2118</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2522</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.89</subfield><subfield code="j">Endokrinologie</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">13</subfield><subfield code="h">2242-2248</subfield></datafield></record></collection>
score	7.4004774

Nicht das Richtige dabei?

Schreiben Sie uns!

Joint analysis of fasting and postprandial plasma glucose and insulin concentrations in Venezuelan women

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?