Income inequalities in exposure to endocrine disrupting chemicals among pregnant women in Taiwan

Background: Exposure to endocrine disrupting chemicals (EDCs) is being rigorously studied in associations with various health outcomes, however less attention has been paid to its socio-economic determinants. This study investigated how EDCs exposure levels in pregnant women could differ on individual- and area- level income in Taiwan. Methods: Urinary measurements of phthalates, nonylphenol, bisphenol A, parabens and individual socio-economic variables (income, education, etc.) of pregnant women from Taiwan Maternal and Infant Cohort Study (TMICS) were linked via residence to area-level average annual household income. EDCs concentrations were compared between the four main Taiwan regions (North, Central, South and East) and between individual income groups. Lorenz curves were plotted to describe inequalities in EDCs exposure, and EDCs exposure related to income. Concentration indexes (CIx) were calculated and compared between the four regions. Results: No significant differences between EDCs concentrations adjusted for molar mass and creatinine across individual-level income groups were detected. Exposure inequalities were highest for parabens (CIx = 73.6 %), BPA (CIx = 73.6) and low molecular weight (LMW) phthalates (CIx = 63.3 %). Lorenz curve for LMW phthalates distribution across area-level income was significantly above the equality line (CIx = -21.9 %, p-value < 0.05). Stratification showed significant differences in inequality (p = 0.046) in LMW phthalates exposure across area-level income between South (CIx = -23.1 %), East (CIx = -35.3 %), North (CIx = -3.3 %) and Central (CIx = -6.5 %) regions. Conclusion: Inequalities in LMW phthalates exposure related to area-level income in East and South regions suggest target areas for public health interventions in terms of environmental regulations and health promotion. Using Lorenz curves and CIx to describe inequalities can be useful in case of inadequate sample sizes in costly human biomonitoring studies, however this method needs to be further developed and validated using human biomonitoring datasets in more diverse populations with larger socio-economic inequalities. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Alexander Waits [verfasserIn] Chia-Huang Chang [verfasserIn] Yu-Fang Huang [verfasserIn] Ming-Song Tsai [verfasserIn] Jia-Woei Hou [verfasserIn] Pei-Wei Wang [verfasserIn] Chih-Yao Chen [verfasserIn] Chia-Jung Hsieh [verfasserIn] Ming-Tsang Wu [verfasserIn] Shu-Li Wang [verfasserIn] Mei-Lien Chen [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	Endocrine-disrupting chemicals Prenatal exposure Socio-economic inequalities Lorenz curve Concentration index

Übergeordnetes Werk:	In: Environmental Advances - Elsevier, 2021, 15(2024), Seite 100470-
Übergeordnetes Werk:	volume:15 ; year:2024 ; pages:100470-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.envadv.2023.100470

Katalog-ID:	DOAJ098563033

Internformat


LEADER	01000caa a22002652 4500
001	DOAJ098563033
003	DE-627
005	20240414001212.0
007	cr uuu---uuuuu
008	240413s2024 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.1016/j.envadv.2023.100470 \|2 doi
035			\|a (DE-627)DOAJ098563033
035			\|a (DE-599)DOAJb085210b88fd43758fee330424411abd
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
050		0	\|a GE1-350
100	0		\|a Alexander Waits \|e verfasserin \|4 aut
245	1	0	\|a Income inequalities in exposure to endocrine disrupting chemicals among pregnant women in Taiwan
264		1	\|c 2024
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a Background: Exposure to endocrine disrupting chemicals (EDCs) is being rigorously studied in associations with various health outcomes, however less attention has been paid to its socio-economic determinants. This study investigated how EDCs exposure levels in pregnant women could differ on individual- and area- level income in Taiwan. Methods: Urinary measurements of phthalates, nonylphenol, bisphenol A, parabens and individual socio-economic variables (income, education, etc.) of pregnant women from Taiwan Maternal and Infant Cohort Study (TMICS) were linked via residence to area-level average annual household income. EDCs concentrations were compared between the four main Taiwan regions (North, Central, South and East) and between individual income groups. Lorenz curves were plotted to describe inequalities in EDCs exposure, and EDCs exposure related to income. Concentration indexes (CIx) were calculated and compared between the four regions. Results: No significant differences between EDCs concentrations adjusted for molar mass and creatinine across individual-level income groups were detected. Exposure inequalities were highest for parabens (CIx = 73.6 %), BPA (CIx = 73.6) and low molecular weight (LMW) phthalates (CIx = 63.3 %). Lorenz curve for LMW phthalates distribution across area-level income was significantly above the equality line (CIx = -21.9 %, p-value < 0.05). Stratification showed significant differences in inequality (p = 0.046) in LMW phthalates exposure across area-level income between South (CIx = -23.1 %), East (CIx = -35.3 %), North (CIx = -3.3 %) and Central (CIx = -6.5 %) regions. Conclusion: Inequalities in LMW phthalates exposure related to area-level income in East and South regions suggest target areas for public health interventions in terms of environmental regulations and health promotion. Using Lorenz curves and CIx to describe inequalities can be useful in case of inadequate sample sizes in costly human biomonitoring studies, however this method needs to be further developed and validated using human biomonitoring datasets in more diverse populations with larger socio-economic inequalities.
650		4	\|a Endocrine-disrupting chemicals
650		4	\|a Prenatal exposure
650		4	\|a Socio-economic inequalities
650		4	\|a Lorenz curve
650		4	\|a Concentration index
653		0	\|a Environmental sciences
700	0		\|a Chia-Huang Chang \|e verfasserin \|4 aut
700	0		\|a Yu-Fang Huang \|e verfasserin \|4 aut
700	0		\|a Ming-Song Tsai \|e verfasserin \|4 aut
700	0		\|a Jia-Woei Hou \|e verfasserin \|4 aut
700	0		\|a Pei-Wei Wang \|e verfasserin \|4 aut
700	0		\|a Chih-Yao Chen \|e verfasserin \|4 aut
700	0		\|a Chia-Jung Hsieh \|e verfasserin \|4 aut
700	0		\|a Ming-Tsang Wu \|e verfasserin \|4 aut
700	0		\|a Shu-Li Wang \|e verfasserin \|4 aut
700	0		\|a Mei-Lien Chen \|e verfasserin \|4 aut
773	0	8	\|i In \|t Environmental Advances \|d Elsevier, 2021 \|g 15(2024), Seite 100470- \|w (DE-627)1747161411 \|x 26667657 \|7 nnns
773	1	8	\|g volume:15 \|g year:2024 \|g pages:100470-
856	4	0	\|u https://doi.org/10.1016/j.envadv.2023.100470 \|z kostenfrei
856	4	0	\|u https://doaj.org/article/b085210b88fd43758fee330424411abd \|z kostenfrei
856	4	0	\|u http://www.sciencedirect.com/science/article/pii/S266676572300128X \|z kostenfrei
856	4	2	\|u https://doaj.org/toc/2666-7657 \|y Journal toc \|z kostenfrei
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_DOAJ
912			\|a GBV_ILN_11
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_39
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_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2001
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2007
912			\|a GBV_ILN_2008
912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2010
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_2088
912			\|a GBV_ILN_2106
912			\|a GBV_ILN_2110
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2232
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2470
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
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_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4393
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 15 \|j 2024 \|h 100470-

Indexfelder

author_variant	a w aw c h c chc y f h yfh m s t mst j w h jwh p w w pww c y c cyc c j h cjh m t w mtw s l w slw m l c mlc
matchkey_str	article:26667657:2024----::noenqaiisnxoueonorndsutnceiasmn
hierarchy_sort_str	2024
callnumber-subject-code	GE
publishDate	2024
allfields	10.1016/j.envadv.2023.100470 doi (DE-627)DOAJ098563033 (DE-599)DOAJb085210b88fd43758fee330424411abd DE-627 ger DE-627 rakwb eng GE1-350 Alexander Waits verfasserin aut Income inequalities in exposure to endocrine disrupting chemicals among pregnant women in Taiwan 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Exposure to endocrine disrupting chemicals (EDCs) is being rigorously studied in associations with various health outcomes, however less attention has been paid to its socio-economic determinants. This study investigated how EDCs exposure levels in pregnant women could differ on individual- and area- level income in Taiwan. Methods: Urinary measurements of phthalates, nonylphenol, bisphenol A, parabens and individual socio-economic variables (income, education, etc.) of pregnant women from Taiwan Maternal and Infant Cohort Study (TMICS) were linked via residence to area-level average annual household income. EDCs concentrations were compared between the four main Taiwan regions (North, Central, South and East) and between individual income groups. Lorenz curves were plotted to describe inequalities in EDCs exposure, and EDCs exposure related to income. Concentration indexes (CIx) were calculated and compared between the four regions. Results: No significant differences between EDCs concentrations adjusted for molar mass and creatinine across individual-level income groups were detected. Exposure inequalities were highest for parabens (CIx = 73.6 %), BPA (CIx = 73.6) and low molecular weight (LMW) phthalates (CIx = 63.3 %). Lorenz curve for LMW phthalates distribution across area-level income was significantly above the equality line (CIx = -21.9 %, p-value < 0.05). Stratification showed significant differences in inequality (p = 0.046) in LMW phthalates exposure across area-level income between South (CIx = -23.1 %), East (CIx = -35.3 %), North (CIx = -3.3 %) and Central (CIx = -6.5 %) regions. Conclusion: Inequalities in LMW phthalates exposure related to area-level income in East and South regions suggest target areas for public health interventions in terms of environmental regulations and health promotion. Using Lorenz curves and CIx to describe inequalities can be useful in case of inadequate sample sizes in costly human biomonitoring studies, however this method needs to be further developed and validated using human biomonitoring datasets in more diverse populations with larger socio-economic inequalities. Endocrine-disrupting chemicals Prenatal exposure Socio-economic inequalities Lorenz curve Concentration index Environmental sciences Chia-Huang Chang verfasserin aut Yu-Fang Huang verfasserin aut Ming-Song Tsai verfasserin aut Jia-Woei Hou verfasserin aut Pei-Wei Wang verfasserin aut Chih-Yao Chen verfasserin aut Chia-Jung Hsieh verfasserin aut Ming-Tsang Wu verfasserin aut Shu-Li Wang verfasserin aut Mei-Lien Chen verfasserin aut In Environmental Advances Elsevier, 2021 15(2024), Seite 100470- (DE-627)1747161411 26667657 nnns volume:15 year:2024 pages:100470- https://doi.org/10.1016/j.envadv.2023.100470 kostenfrei https://doaj.org/article/b085210b88fd43758fee330424411abd kostenfrei http://www.sciencedirect.com/science/article/pii/S266676572300128X kostenfrei https://doaj.org/toc/2666-7657 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 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_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_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 15 2024 100470-
spelling	10.1016/j.envadv.2023.100470 doi (DE-627)DOAJ098563033 (DE-599)DOAJb085210b88fd43758fee330424411abd DE-627 ger DE-627 rakwb eng GE1-350 Alexander Waits verfasserin aut Income inequalities in exposure to endocrine disrupting chemicals among pregnant women in Taiwan 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Exposure to endocrine disrupting chemicals (EDCs) is being rigorously studied in associations with various health outcomes, however less attention has been paid to its socio-economic determinants. This study investigated how EDCs exposure levels in pregnant women could differ on individual- and area- level income in Taiwan. Methods: Urinary measurements of phthalates, nonylphenol, bisphenol A, parabens and individual socio-economic variables (income, education, etc.) of pregnant women from Taiwan Maternal and Infant Cohort Study (TMICS) were linked via residence to area-level average annual household income. EDCs concentrations were compared between the four main Taiwan regions (North, Central, South and East) and between individual income groups. Lorenz curves were plotted to describe inequalities in EDCs exposure, and EDCs exposure related to income. Concentration indexes (CIx) were calculated and compared between the four regions. Results: No significant differences between EDCs concentrations adjusted for molar mass and creatinine across individual-level income groups were detected. Exposure inequalities were highest for parabens (CIx = 73.6 %), BPA (CIx = 73.6) and low molecular weight (LMW) phthalates (CIx = 63.3 %). Lorenz curve for LMW phthalates distribution across area-level income was significantly above the equality line (CIx = -21.9 %, p-value < 0.05). Stratification showed significant differences in inequality (p = 0.046) in LMW phthalates exposure across area-level income between South (CIx = -23.1 %), East (CIx = -35.3 %), North (CIx = -3.3 %) and Central (CIx = -6.5 %) regions. Conclusion: Inequalities in LMW phthalates exposure related to area-level income in East and South regions suggest target areas for public health interventions in terms of environmental regulations and health promotion. Using Lorenz curves and CIx to describe inequalities can be useful in case of inadequate sample sizes in costly human biomonitoring studies, however this method needs to be further developed and validated using human biomonitoring datasets in more diverse populations with larger socio-economic inequalities. Endocrine-disrupting chemicals Prenatal exposure Socio-economic inequalities Lorenz curve Concentration index Environmental sciences Chia-Huang Chang verfasserin aut Yu-Fang Huang verfasserin aut Ming-Song Tsai verfasserin aut Jia-Woei Hou verfasserin aut Pei-Wei Wang verfasserin aut Chih-Yao Chen verfasserin aut Chia-Jung Hsieh verfasserin aut Ming-Tsang Wu verfasserin aut Shu-Li Wang verfasserin aut Mei-Lien Chen verfasserin aut In Environmental Advances Elsevier, 2021 15(2024), Seite 100470- (DE-627)1747161411 26667657 nnns volume:15 year:2024 pages:100470- https://doi.org/10.1016/j.envadv.2023.100470 kostenfrei https://doaj.org/article/b085210b88fd43758fee330424411abd kostenfrei http://www.sciencedirect.com/science/article/pii/S266676572300128X kostenfrei https://doaj.org/toc/2666-7657 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 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_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_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 15 2024 100470-
allfields_unstemmed	10.1016/j.envadv.2023.100470 doi (DE-627)DOAJ098563033 (DE-599)DOAJb085210b88fd43758fee330424411abd DE-627 ger DE-627 rakwb eng GE1-350 Alexander Waits verfasserin aut Income inequalities in exposure to endocrine disrupting chemicals among pregnant women in Taiwan 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Exposure to endocrine disrupting chemicals (EDCs) is being rigorously studied in associations with various health outcomes, however less attention has been paid to its socio-economic determinants. This study investigated how EDCs exposure levels in pregnant women could differ on individual- and area- level income in Taiwan. Methods: Urinary measurements of phthalates, nonylphenol, bisphenol A, parabens and individual socio-economic variables (income, education, etc.) of pregnant women from Taiwan Maternal and Infant Cohort Study (TMICS) were linked via residence to area-level average annual household income. EDCs concentrations were compared between the four main Taiwan regions (North, Central, South and East) and between individual income groups. Lorenz curves were plotted to describe inequalities in EDCs exposure, and EDCs exposure related to income. Concentration indexes (CIx) were calculated and compared between the four regions. Results: No significant differences between EDCs concentrations adjusted for molar mass and creatinine across individual-level income groups were detected. Exposure inequalities were highest for parabens (CIx = 73.6 %), BPA (CIx = 73.6) and low molecular weight (LMW) phthalates (CIx = 63.3 %). Lorenz curve for LMW phthalates distribution across area-level income was significantly above the equality line (CIx = -21.9 %, p-value < 0.05). Stratification showed significant differences in inequality (p = 0.046) in LMW phthalates exposure across area-level income between South (CIx = -23.1 %), East (CIx = -35.3 %), North (CIx = -3.3 %) and Central (CIx = -6.5 %) regions. Conclusion: Inequalities in LMW phthalates exposure related to area-level income in East and South regions suggest target areas for public health interventions in terms of environmental regulations and health promotion. Using Lorenz curves and CIx to describe inequalities can be useful in case of inadequate sample sizes in costly human biomonitoring studies, however this method needs to be further developed and validated using human biomonitoring datasets in more diverse populations with larger socio-economic inequalities. Endocrine-disrupting chemicals Prenatal exposure Socio-economic inequalities Lorenz curve Concentration index Environmental sciences Chia-Huang Chang verfasserin aut Yu-Fang Huang verfasserin aut Ming-Song Tsai verfasserin aut Jia-Woei Hou verfasserin aut Pei-Wei Wang verfasserin aut Chih-Yao Chen verfasserin aut Chia-Jung Hsieh verfasserin aut Ming-Tsang Wu verfasserin aut Shu-Li Wang verfasserin aut Mei-Lien Chen verfasserin aut In Environmental Advances Elsevier, 2021 15(2024), Seite 100470- (DE-627)1747161411 26667657 nnns volume:15 year:2024 pages:100470- https://doi.org/10.1016/j.envadv.2023.100470 kostenfrei https://doaj.org/article/b085210b88fd43758fee330424411abd kostenfrei http://www.sciencedirect.com/science/article/pii/S266676572300128X kostenfrei https://doaj.org/toc/2666-7657 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 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_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_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 15 2024 100470-
allfieldsGer	10.1016/j.envadv.2023.100470 doi (DE-627)DOAJ098563033 (DE-599)DOAJb085210b88fd43758fee330424411abd DE-627 ger DE-627 rakwb eng GE1-350 Alexander Waits verfasserin aut Income inequalities in exposure to endocrine disrupting chemicals among pregnant women in Taiwan 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Exposure to endocrine disrupting chemicals (EDCs) is being rigorously studied in associations with various health outcomes, however less attention has been paid to its socio-economic determinants. This study investigated how EDCs exposure levels in pregnant women could differ on individual- and area- level income in Taiwan. Methods: Urinary measurements of phthalates, nonylphenol, bisphenol A, parabens and individual socio-economic variables (income, education, etc.) of pregnant women from Taiwan Maternal and Infant Cohort Study (TMICS) were linked via residence to area-level average annual household income. EDCs concentrations were compared between the four main Taiwan regions (North, Central, South and East) and between individual income groups. Lorenz curves were plotted to describe inequalities in EDCs exposure, and EDCs exposure related to income. Concentration indexes (CIx) were calculated and compared between the four regions. Results: No significant differences between EDCs concentrations adjusted for molar mass and creatinine across individual-level income groups were detected. Exposure inequalities were highest for parabens (CIx = 73.6 %), BPA (CIx = 73.6) and low molecular weight (LMW) phthalates (CIx = 63.3 %). Lorenz curve for LMW phthalates distribution across area-level income was significantly above the equality line (CIx = -21.9 %, p-value < 0.05). Stratification showed significant differences in inequality (p = 0.046) in LMW phthalates exposure across area-level income between South (CIx = -23.1 %), East (CIx = -35.3 %), North (CIx = -3.3 %) and Central (CIx = -6.5 %) regions. Conclusion: Inequalities in LMW phthalates exposure related to area-level income in East and South regions suggest target areas for public health interventions in terms of environmental regulations and health promotion. Using Lorenz curves and CIx to describe inequalities can be useful in case of inadequate sample sizes in costly human biomonitoring studies, however this method needs to be further developed and validated using human biomonitoring datasets in more diverse populations with larger socio-economic inequalities. Endocrine-disrupting chemicals Prenatal exposure Socio-economic inequalities Lorenz curve Concentration index Environmental sciences Chia-Huang Chang verfasserin aut Yu-Fang Huang verfasserin aut Ming-Song Tsai verfasserin aut Jia-Woei Hou verfasserin aut Pei-Wei Wang verfasserin aut Chih-Yao Chen verfasserin aut Chia-Jung Hsieh verfasserin aut Ming-Tsang Wu verfasserin aut Shu-Li Wang verfasserin aut Mei-Lien Chen verfasserin aut In Environmental Advances Elsevier, 2021 15(2024), Seite 100470- (DE-627)1747161411 26667657 nnns volume:15 year:2024 pages:100470- https://doi.org/10.1016/j.envadv.2023.100470 kostenfrei https://doaj.org/article/b085210b88fd43758fee330424411abd kostenfrei http://www.sciencedirect.com/science/article/pii/S266676572300128X kostenfrei https://doaj.org/toc/2666-7657 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 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_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_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 15 2024 100470-
allfieldsSound	10.1016/j.envadv.2023.100470 doi (DE-627)DOAJ098563033 (DE-599)DOAJb085210b88fd43758fee330424411abd DE-627 ger DE-627 rakwb eng GE1-350 Alexander Waits verfasserin aut Income inequalities in exposure to endocrine disrupting chemicals among pregnant women in Taiwan 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Exposure to endocrine disrupting chemicals (EDCs) is being rigorously studied in associations with various health outcomes, however less attention has been paid to its socio-economic determinants. This study investigated how EDCs exposure levels in pregnant women could differ on individual- and area- level income in Taiwan. Methods: Urinary measurements of phthalates, nonylphenol, bisphenol A, parabens and individual socio-economic variables (income, education, etc.) of pregnant women from Taiwan Maternal and Infant Cohort Study (TMICS) were linked via residence to area-level average annual household income. EDCs concentrations were compared between the four main Taiwan regions (North, Central, South and East) and between individual income groups. Lorenz curves were plotted to describe inequalities in EDCs exposure, and EDCs exposure related to income. Concentration indexes (CIx) were calculated and compared between the four regions. Results: No significant differences between EDCs concentrations adjusted for molar mass and creatinine across individual-level income groups were detected. Exposure inequalities were highest for parabens (CIx = 73.6 %), BPA (CIx = 73.6) and low molecular weight (LMW) phthalates (CIx = 63.3 %). Lorenz curve for LMW phthalates distribution across area-level income was significantly above the equality line (CIx = -21.9 %, p-value < 0.05). Stratification showed significant differences in inequality (p = 0.046) in LMW phthalates exposure across area-level income between South (CIx = -23.1 %), East (CIx = -35.3 %), North (CIx = -3.3 %) and Central (CIx = -6.5 %) regions. Conclusion: Inequalities in LMW phthalates exposure related to area-level income in East and South regions suggest target areas for public health interventions in terms of environmental regulations and health promotion. Using Lorenz curves and CIx to describe inequalities can be useful in case of inadequate sample sizes in costly human biomonitoring studies, however this method needs to be further developed and validated using human biomonitoring datasets in more diverse populations with larger socio-economic inequalities. Endocrine-disrupting chemicals Prenatal exposure Socio-economic inequalities Lorenz curve Concentration index Environmental sciences Chia-Huang Chang verfasserin aut Yu-Fang Huang verfasserin aut Ming-Song Tsai verfasserin aut Jia-Woei Hou verfasserin aut Pei-Wei Wang verfasserin aut Chih-Yao Chen verfasserin aut Chia-Jung Hsieh verfasserin aut Ming-Tsang Wu verfasserin aut Shu-Li Wang verfasserin aut Mei-Lien Chen verfasserin aut In Environmental Advances Elsevier, 2021 15(2024), Seite 100470- (DE-627)1747161411 26667657 nnns volume:15 year:2024 pages:100470- https://doi.org/10.1016/j.envadv.2023.100470 kostenfrei https://doaj.org/article/b085210b88fd43758fee330424411abd kostenfrei http://www.sciencedirect.com/science/article/pii/S266676572300128X kostenfrei https://doaj.org/toc/2666-7657 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 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_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_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 15 2024 100470-
language	English
source	In Environmental Advances 15(2024), Seite 100470- volume:15 year:2024 pages:100470-
sourceStr	In Environmental Advances 15(2024), Seite 100470- volume:15 year:2024 pages:100470-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Endocrine-disrupting chemicals Prenatal exposure Socio-economic inequalities Lorenz curve Concentration index Environmental sciences
isfreeaccess_bool	true
container_title	Environmental Advances
authorswithroles_txt_mv	Alexander Waits @@aut@@ Chia-Huang Chang @@aut@@ Yu-Fang Huang @@aut@@ Ming-Song Tsai @@aut@@ Jia-Woei Hou @@aut@@ Pei-Wei Wang @@aut@@ Chih-Yao Chen @@aut@@ Chia-Jung Hsieh @@aut@@ Ming-Tsang Wu @@aut@@ Shu-Li Wang @@aut@@ Mei-Lien Chen @@aut@@
publishDateDaySort_date	2024-01-01T00:00:00Z
hierarchy_top_id	1747161411
id	DOAJ098563033
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">DOAJ098563033</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240414001212.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240413s2024 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.envadv.2023.100470</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ098563033</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJb085210b88fd43758fee330424411abd</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">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">GE1-350</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Alexander Waits</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Income inequalities in exposure to endocrine disrupting chemicals among pregnant women in Taiwan</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2024</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</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">Background: Exposure to endocrine disrupting chemicals (EDCs) is being rigorously studied in associations with various health outcomes, however less attention has been paid to its socio-economic determinants. This study investigated how EDCs exposure levels in pregnant women could differ on individual- and area- level income in Taiwan. Methods: Urinary measurements of phthalates, nonylphenol, bisphenol A, parabens and individual socio-economic variables (income, education, etc.) of pregnant women from Taiwan Maternal and Infant Cohort Study (TMICS) were linked via residence to area-level average annual household income. EDCs concentrations were compared between the four main Taiwan regions (North, Central, South and East) and between individual income groups. Lorenz curves were plotted to describe inequalities in EDCs exposure, and EDCs exposure related to income. Concentration indexes (CIx) were calculated and compared between the four regions. Results: No significant differences between EDCs concentrations adjusted for molar mass and creatinine across individual-level income groups were detected. Exposure inequalities were highest for parabens (CIx = 73.6 %), BPA (CIx = 73.6) and low molecular weight (LMW) phthalates (CIx = 63.3 %). Lorenz curve for LMW phthalates distribution across area-level income was significantly above the equality line (CIx = -21.9 %, p-value < 0.05). Stratification showed significant differences in inequality (p = 0.046) in LMW phthalates exposure across area-level income between South (CIx = -23.1 %), East (CIx = -35.3 %), North (CIx = -3.3 %) and Central (CIx = -6.5 %) regions. Conclusion: Inequalities in LMW phthalates exposure related to area-level income in East and South regions suggest target areas for public health interventions in terms of environmental regulations and health promotion. Using Lorenz curves and CIx to describe inequalities can be useful in case of inadequate sample sizes in costly human biomonitoring studies, however this method needs to be further developed and validated using human biomonitoring datasets in more diverse populations with larger socio-economic inequalities.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Endocrine-disrupting chemicals</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Prenatal exposure</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Socio-economic inequalities</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Lorenz curve</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Concentration index</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Environmental sciences</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Chia-Huang Chang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yu-Fang Huang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ming-Song Tsai</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jia-Woei Hou</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Pei-Wei Wang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Chih-Yao Chen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Chia-Jung Hsieh</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ming-Tsang Wu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Shu-Li Wang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mei-Lien Chen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Environmental Advances</subfield><subfield code="d">Elsevier, 2021</subfield><subfield code="g">15(2024), Seite 100470-</subfield><subfield code="w">(DE-627)1747161411</subfield><subfield code="x">26667657</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:15</subfield><subfield code="g">year:2024</subfield><subfield code="g">pages:100470-</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.envadv.2023.100470</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/b085210b88fd43758fee330424411abd</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/article/pii/S266676572300128X</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2666-7657</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</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_39</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_95</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_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</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_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</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_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_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_2007</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_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</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_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</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_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_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_2336</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_4012</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_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_4249</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_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</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_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">15</subfield><subfield code="j">2024</subfield><subfield code="h">100470-</subfield></datafield></record></collection>
callnumber-first	G - Geography, Anthropology, Recreation
author	Alexander Waits
spellingShingle	Alexander Waits misc GE1-350 misc Endocrine-disrupting chemicals misc Prenatal exposure misc Socio-economic inequalities misc Lorenz curve misc Concentration index misc Environmental sciences Income inequalities in exposure to endocrine disrupting chemicals among pregnant women in Taiwan
authorStr	Alexander Waits
ppnlink_with_tag_str_mv	@@773@@(DE-627)1747161411
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut aut aut aut aut aut aut aut aut
collection	DOAJ
remote_str	true
callnumber-label	GE1-350
illustrated	Not Illustrated
issn	26667657
topic_title	GE1-350 Income inequalities in exposure to endocrine disrupting chemicals among pregnant women in Taiwan Endocrine-disrupting chemicals Prenatal exposure Socio-economic inequalities Lorenz curve Concentration index
topic	misc GE1-350 misc Endocrine-disrupting chemicals misc Prenatal exposure misc Socio-economic inequalities misc Lorenz curve misc Concentration index misc Environmental sciences
topic_unstemmed	misc GE1-350 misc Endocrine-disrupting chemicals misc Prenatal exposure misc Socio-economic inequalities misc Lorenz curve misc Concentration index misc Environmental sciences
topic_browse	misc GE1-350 misc Endocrine-disrupting chemicals misc Prenatal exposure misc Socio-economic inequalities misc Lorenz curve misc Concentration index misc Environmental sciences
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Environmental Advances
hierarchy_parent_id	1747161411
hierarchy_top_title	Environmental Advances
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)1747161411
title	Income inequalities in exposure to endocrine disrupting chemicals among pregnant women in Taiwan
ctrlnum	(DE-627)DOAJ098563033 (DE-599)DOAJb085210b88fd43758fee330424411abd
title_full	Income inequalities in exposure to endocrine disrupting chemicals among pregnant women in Taiwan
author_sort	Alexander Waits
journal	Environmental Advances
journalStr	Environmental Advances
callnumber-first-code	G
lang_code	eng
isOA_bool	true
recordtype	marc
publishDateSort	2024
contenttype_str_mv	txt
container_start_page	100470
author_browse	Alexander Waits Chia-Huang Chang Yu-Fang Huang Ming-Song Tsai Jia-Woei Hou Pei-Wei Wang Chih-Yao Chen Chia-Jung Hsieh Ming-Tsang Wu Shu-Li Wang Mei-Lien Chen
container_volume	15
class	GE1-350
format_se	Elektronische Aufsätze
author-letter	Alexander Waits
doi_str_mv	10.1016/j.envadv.2023.100470
author2-role	verfasserin
title_sort	income inequalities in exposure to endocrine disrupting chemicals among pregnant women in taiwan
callnumber	GE1-350
title_auth	Income inequalities in exposure to endocrine disrupting chemicals among pregnant women in Taiwan
abstract	Background: Exposure to endocrine disrupting chemicals (EDCs) is being rigorously studied in associations with various health outcomes, however less attention has been paid to its socio-economic determinants. This study investigated how EDCs exposure levels in pregnant women could differ on individual- and area- level income in Taiwan. Methods: Urinary measurements of phthalates, nonylphenol, bisphenol A, parabens and individual socio-economic variables (income, education, etc.) of pregnant women from Taiwan Maternal and Infant Cohort Study (TMICS) were linked via residence to area-level average annual household income. EDCs concentrations were compared between the four main Taiwan regions (North, Central, South and East) and between individual income groups. Lorenz curves were plotted to describe inequalities in EDCs exposure, and EDCs exposure related to income. Concentration indexes (CIx) were calculated and compared between the four regions. Results: No significant differences between EDCs concentrations adjusted for molar mass and creatinine across individual-level income groups were detected. Exposure inequalities were highest for parabens (CIx = 73.6 %), BPA (CIx = 73.6) and low molecular weight (LMW) phthalates (CIx = 63.3 %). Lorenz curve for LMW phthalates distribution across area-level income was significantly above the equality line (CIx = -21.9 %, p-value < 0.05). Stratification showed significant differences in inequality (p = 0.046) in LMW phthalates exposure across area-level income between South (CIx = -23.1 %), East (CIx = -35.3 %), North (CIx = -3.3 %) and Central (CIx = -6.5 %) regions. Conclusion: Inequalities in LMW phthalates exposure related to area-level income in East and South regions suggest target areas for public health interventions in terms of environmental regulations and health promotion. Using Lorenz curves and CIx to describe inequalities can be useful in case of inadequate sample sizes in costly human biomonitoring studies, however this method needs to be further developed and validated using human biomonitoring datasets in more diverse populations with larger socio-economic inequalities.
abstractGer	Background: Exposure to endocrine disrupting chemicals (EDCs) is being rigorously studied in associations with various health outcomes, however less attention has been paid to its socio-economic determinants. This study investigated how EDCs exposure levels in pregnant women could differ on individual- and area- level income in Taiwan. Methods: Urinary measurements of phthalates, nonylphenol, bisphenol A, parabens and individual socio-economic variables (income, education, etc.) of pregnant women from Taiwan Maternal and Infant Cohort Study (TMICS) were linked via residence to area-level average annual household income. EDCs concentrations were compared between the four main Taiwan regions (North, Central, South and East) and between individual income groups. Lorenz curves were plotted to describe inequalities in EDCs exposure, and EDCs exposure related to income. Concentration indexes (CIx) were calculated and compared between the four regions. Results: No significant differences between EDCs concentrations adjusted for molar mass and creatinine across individual-level income groups were detected. Exposure inequalities were highest for parabens (CIx = 73.6 %), BPA (CIx = 73.6) and low molecular weight (LMW) phthalates (CIx = 63.3 %). Lorenz curve for LMW phthalates distribution across area-level income was significantly above the equality line (CIx = -21.9 %, p-value < 0.05). Stratification showed significant differences in inequality (p = 0.046) in LMW phthalates exposure across area-level income between South (CIx = -23.1 %), East (CIx = -35.3 %), North (CIx = -3.3 %) and Central (CIx = -6.5 %) regions. Conclusion: Inequalities in LMW phthalates exposure related to area-level income in East and South regions suggest target areas for public health interventions in terms of environmental regulations and health promotion. Using Lorenz curves and CIx to describe inequalities can be useful in case of inadequate sample sizes in costly human biomonitoring studies, however this method needs to be further developed and validated using human biomonitoring datasets in more diverse populations with larger socio-economic inequalities.
abstract_unstemmed	Background: Exposure to endocrine disrupting chemicals (EDCs) is being rigorously studied in associations with various health outcomes, however less attention has been paid to its socio-economic determinants. This study investigated how EDCs exposure levels in pregnant women could differ on individual- and area- level income in Taiwan. Methods: Urinary measurements of phthalates, nonylphenol, bisphenol A, parabens and individual socio-economic variables (income, education, etc.) of pregnant women from Taiwan Maternal and Infant Cohort Study (TMICS) were linked via residence to area-level average annual household income. EDCs concentrations were compared between the four main Taiwan regions (North, Central, South and East) and between individual income groups. Lorenz curves were plotted to describe inequalities in EDCs exposure, and EDCs exposure related to income. Concentration indexes (CIx) were calculated and compared between the four regions. Results: No significant differences between EDCs concentrations adjusted for molar mass and creatinine across individual-level income groups were detected. Exposure inequalities were highest for parabens (CIx = 73.6 %), BPA (CIx = 73.6) and low molecular weight (LMW) phthalates (CIx = 63.3 %). Lorenz curve for LMW phthalates distribution across area-level income was significantly above the equality line (CIx = -21.9 %, p-value < 0.05). Stratification showed significant differences in inequality (p = 0.046) in LMW phthalates exposure across area-level income between South (CIx = -23.1 %), East (CIx = -35.3 %), North (CIx = -3.3 %) and Central (CIx = -6.5 %) regions. Conclusion: Inequalities in LMW phthalates exposure related to area-level income in East and South regions suggest target areas for public health interventions in terms of environmental regulations and health promotion. Using Lorenz curves and CIx to describe inequalities can be useful in case of inadequate sample sizes in costly human biomonitoring studies, however this method needs to be further developed and validated using human biomonitoring datasets in more diverse populations with larger socio-economic inequalities.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 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_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_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700
title_short	Income inequalities in exposure to endocrine disrupting chemicals among pregnant women in Taiwan
url	https://doi.org/10.1016/j.envadv.2023.100470 https://doaj.org/article/b085210b88fd43758fee330424411abd http://www.sciencedirect.com/science/article/pii/S266676572300128X https://doaj.org/toc/2666-7657
remote_bool	true
author2	Chia-Huang Chang Yu-Fang Huang Ming-Song Tsai Jia-Woei Hou Pei-Wei Wang Chih-Yao Chen Chia-Jung Hsieh Ming-Tsang Wu Shu-Li Wang Mei-Lien Chen
author2Str	Chia-Huang Chang Yu-Fang Huang Ming-Song Tsai Jia-Woei Hou Pei-Wei Wang Chih-Yao Chen Chia-Jung Hsieh Ming-Tsang Wu Shu-Li Wang Mei-Lien Chen
ppnlink	1747161411
callnumber-subject	GE - Environmental Sciences
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.1016/j.envadv.2023.100470
callnumber-a	GE1-350
up_date	2024-07-03T17:58:12.844Z
_version_	1803581645490487297
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">DOAJ098563033</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240414001212.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240413s2024 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.envadv.2023.100470</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ098563033</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJb085210b88fd43758fee330424411abd</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">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">GE1-350</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Alexander Waits</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Income inequalities in exposure to endocrine disrupting chemicals among pregnant women in Taiwan</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2024</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</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">Background: Exposure to endocrine disrupting chemicals (EDCs) is being rigorously studied in associations with various health outcomes, however less attention has been paid to its socio-economic determinants. This study investigated how EDCs exposure levels in pregnant women could differ on individual- and area- level income in Taiwan. Methods: Urinary measurements of phthalates, nonylphenol, bisphenol A, parabens and individual socio-economic variables (income, education, etc.) of pregnant women from Taiwan Maternal and Infant Cohort Study (TMICS) were linked via residence to area-level average annual household income. EDCs concentrations were compared between the four main Taiwan regions (North, Central, South and East) and between individual income groups. Lorenz curves were plotted to describe inequalities in EDCs exposure, and EDCs exposure related to income. Concentration indexes (CIx) were calculated and compared between the four regions. Results: No significant differences between EDCs concentrations adjusted for molar mass and creatinine across individual-level income groups were detected. Exposure inequalities were highest for parabens (CIx = 73.6 %), BPA (CIx = 73.6) and low molecular weight (LMW) phthalates (CIx = 63.3 %). Lorenz curve for LMW phthalates distribution across area-level income was significantly above the equality line (CIx = -21.9 %, p-value < 0.05). Stratification showed significant differences in inequality (p = 0.046) in LMW phthalates exposure across area-level income between South (CIx = -23.1 %), East (CIx = -35.3 %), North (CIx = -3.3 %) and Central (CIx = -6.5 %) regions. Conclusion: Inequalities in LMW phthalates exposure related to area-level income in East and South regions suggest target areas for public health interventions in terms of environmental regulations and health promotion. Using Lorenz curves and CIx to describe inequalities can be useful in case of inadequate sample sizes in costly human biomonitoring studies, however this method needs to be further developed and validated using human biomonitoring datasets in more diverse populations with larger socio-economic inequalities.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Endocrine-disrupting chemicals</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Prenatal exposure</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Socio-economic inequalities</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Lorenz curve</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Concentration index</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Environmental sciences</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Chia-Huang Chang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yu-Fang Huang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ming-Song Tsai</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jia-Woei Hou</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Pei-Wei Wang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Chih-Yao Chen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Chia-Jung Hsieh</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ming-Tsang Wu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Shu-Li Wang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mei-Lien Chen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Environmental Advances</subfield><subfield code="d">Elsevier, 2021</subfield><subfield code="g">15(2024), Seite 100470-</subfield><subfield code="w">(DE-627)1747161411</subfield><subfield code="x">26667657</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:15</subfield><subfield code="g">year:2024</subfield><subfield code="g">pages:100470-</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.envadv.2023.100470</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/b085210b88fd43758fee330424411abd</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/article/pii/S266676572300128X</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2666-7657</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</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_39</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_95</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_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</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_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</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_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_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_2007</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_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</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_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</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_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_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_2336</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_4012</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_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_4249</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_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</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_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">15</subfield><subfield code="j">2024</subfield><subfield code="h">100470-</subfield></datafield></record></collection>
score	7.400943

Nicht das Richtige dabei?

Schreiben Sie uns!

Income inequalities in exposure to endocrine disrupting chemicals among pregnant women in Taiwan

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?