Increased risk of gestational diabetes mellitus in women with higher prepregnancy ambient PM
Background: Air pollution is a serious environmental problem in China. This study was designed to investigate whether exposure to particulate matter with an aerodynamic diameter ≤ 2.5 μm (PM2.5) before pregnancy is associated with gestational diabetes mellitus (GDM) and fasting glucose in China.Meth...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhang, Mingzhi [verfasserIn] Wang, Xu [verfasserIn] Yang, Xu [verfasserIn] Dong, Tianyu [verfasserIn] Hu, Weiyue [verfasserIn] Guan, Quanquan [verfasserIn] Tun, Hein M. [verfasserIn] Chen, Yi [verfasserIn] Chen, Rui [verfasserIn] Sun, Zhiwei [verfasserIn] Chen, Ting [verfasserIn] Xia, Yankai [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: The science of the total environment - Amsterdam [u.a.] : Elsevier Science, 1972, 730 |
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| Übergeordnetes Werk: |
volume:730 |
| DOI / URN: |
10.1016/j.scitotenv.2020.138982 |
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| Katalog-ID: |
ELV004158105 |
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| 520 | |a Background: Air pollution is a serious environmental problem in China. This study was designed to investigate whether exposure to particulate matter with an aerodynamic diameter ≤ 2.5 μm (PM2.5) before pregnancy is associated with gestational diabetes mellitus (GDM) and fasting glucose in China.Methods: We recruited subjects and collected clinical data from the Nanjing Maternity and Child Health Care Hospital from July 2016 to October 2017. A series of validated land-use regression (LUR) models were built to assess individual exposure to PM2.5 in a 1 × 1 km area at both work and home addresses following a time-weighted pattern. Multiple linear regression and logistic regression analyses were performed to examine the association between PM2.5 exposure and GDM and fasting glucose.Results: In total, 11,639 of 16,995 women were included in the final analysis. Among the 11,639 women, 2776 (23.85%) had GDM. Individual exposure to PM2.5 within three months before pregnancy ranged from 21.58 to 85.92 μg/m3. Positive associations were observed among the interquartile ranges (IQRs) of exposure to PM2.5 within three months before pregnancy and GDM (OR = 2.61, 95% CI: 1.40–4.93, p < .01) as well as fasting glucose levels (β = 0.57, 95% CI: 0.45–0.68, p < .01). The diabetogenic effects of PM2.5 gradually increased from the first month before pregnancy, peaked in the second month and then gradually decreased until the third month when the week-specific exposure were analyzed to identify the sensitive time window.Conclusion: Our study confirmed that higher exposure to PM2.5 within three months before pregnancy is significantly associated with increased risk of GDM and elevated fasting glucose levels, reflecting the importance of preconceptional environmental exposure in the development of maternal GDM. | ||
| 650 | 4 | |a PM | |
| 650 | 4 | |a Fasting glucose | |
| 650 | 4 | |a Gestational diabetes mellitus | |
| 650 | 4 | |a Preconception | |
| 700 | 1 | |a Wang, Xu |e verfasserin |4 aut | |
| 700 | 1 | |a Yang, Xu |e verfasserin |4 aut | |
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| 700 | 1 | |a Hu, Weiyue |e verfasserin |4 aut | |
| 700 | 1 | |a Guan, Quanquan |e verfasserin |4 aut | |
| 700 | 1 | |a Tun, Hein M. |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Yi |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Rui |e verfasserin |4 aut | |
| 700 | 1 | |a Sun, Zhiwei |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Ting |e verfasserin |4 aut | |
| 700 | 1 | |a Xia, Yankai |e verfasserin |0 (orcid)0000-0003-0484-4035 |4 aut | |
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10.1016/j.scitotenv.2020.138982 doi (DE-627)ELV004158105 (ELSEVIER)S0048-9697(20)32499-2 DE-627 ger DE-627 rda eng 333.7 610 DE-600 43.12 bkl 43.13 bkl 44.13 bkl Zhang, Mingzhi verfasserin aut Increased risk of gestational diabetes mellitus in women with higher prepregnancy ambient PM 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Air pollution is a serious environmental problem in China. This study was designed to investigate whether exposure to particulate matter with an aerodynamic diameter ≤ 2.5 μm (PM2.5) before pregnancy is associated with gestational diabetes mellitus (GDM) and fasting glucose in China.Methods: We recruited subjects and collected clinical data from the Nanjing Maternity and Child Health Care Hospital from July 2016 to October 2017. A series of validated land-use regression (LUR) models were built to assess individual exposure to PM2.5 in a 1 × 1 km area at both work and home addresses following a time-weighted pattern. Multiple linear regression and logistic regression analyses were performed to examine the association between PM2.5 exposure and GDM and fasting glucose.Results: In total, 11,639 of 16,995 women were included in the final analysis. Among the 11,639 women, 2776 (23.85%) had GDM. Individual exposure to PM2.5 within three months before pregnancy ranged from 21.58 to 85.92 μg/m3. Positive associations were observed among the interquartile ranges (IQRs) of exposure to PM2.5 within three months before pregnancy and GDM (OR = 2.61, 95% CI: 1.40–4.93, p < .01) as well as fasting glucose levels (β = 0.57, 95% CI: 0.45–0.68, p < .01). The diabetogenic effects of PM2.5 gradually increased from the first month before pregnancy, peaked in the second month and then gradually decreased until the third month when the week-specific exposure were analyzed to identify the sensitive time window.Conclusion: Our study confirmed that higher exposure to PM2.5 within three months before pregnancy is significantly associated with increased risk of GDM and elevated fasting glucose levels, reflecting the importance of preconceptional environmental exposure in the development of maternal GDM. PM Fasting glucose Gestational diabetes mellitus Preconception Wang, Xu verfasserin aut Yang, Xu verfasserin aut Dong, Tianyu verfasserin aut Hu, Weiyue verfasserin aut Guan, Quanquan verfasserin aut Tun, Hein M. verfasserin aut Chen, Yi verfasserin aut Chen, Rui verfasserin aut Sun, Zhiwei verfasserin aut Chen, Ting verfasserin aut Xia, Yankai verfasserin (orcid)0000-0003-0484-4035 aut Enthalten in The science of the total environment Amsterdam [u.a.] : Elsevier Science, 1972 730 Online-Ressource (DE-627)306591456 (DE-600)1498726-0 (DE-576)081953178 1879-1026 nnns volume:730 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA SSG-OPC-GGO 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_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 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 43.12 Umweltchemie 43.13 Umwelttoxikologie 44.13 Medizinische Ökologie AR 730 |
| spelling |
10.1016/j.scitotenv.2020.138982 doi (DE-627)ELV004158105 (ELSEVIER)S0048-9697(20)32499-2 DE-627 ger DE-627 rda eng 333.7 610 DE-600 43.12 bkl 43.13 bkl 44.13 bkl Zhang, Mingzhi verfasserin aut Increased risk of gestational diabetes mellitus in women with higher prepregnancy ambient PM 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Air pollution is a serious environmental problem in China. This study was designed to investigate whether exposure to particulate matter with an aerodynamic diameter ≤ 2.5 μm (PM2.5) before pregnancy is associated with gestational diabetes mellitus (GDM) and fasting glucose in China.Methods: We recruited subjects and collected clinical data from the Nanjing Maternity and Child Health Care Hospital from July 2016 to October 2017. A series of validated land-use regression (LUR) models were built to assess individual exposure to PM2.5 in a 1 × 1 km area at both work and home addresses following a time-weighted pattern. Multiple linear regression and logistic regression analyses were performed to examine the association between PM2.5 exposure and GDM and fasting glucose.Results: In total, 11,639 of 16,995 women were included in the final analysis. Among the 11,639 women, 2776 (23.85%) had GDM. Individual exposure to PM2.5 within three months before pregnancy ranged from 21.58 to 85.92 μg/m3. Positive associations were observed among the interquartile ranges (IQRs) of exposure to PM2.5 within three months before pregnancy and GDM (OR = 2.61, 95% CI: 1.40–4.93, p < .01) as well as fasting glucose levels (β = 0.57, 95% CI: 0.45–0.68, p < .01). The diabetogenic effects of PM2.5 gradually increased from the first month before pregnancy, peaked in the second month and then gradually decreased until the third month when the week-specific exposure were analyzed to identify the sensitive time window.Conclusion: Our study confirmed that higher exposure to PM2.5 within three months before pregnancy is significantly associated with increased risk of GDM and elevated fasting glucose levels, reflecting the importance of preconceptional environmental exposure in the development of maternal GDM. PM Fasting glucose Gestational diabetes mellitus Preconception Wang, Xu verfasserin aut Yang, Xu verfasserin aut Dong, Tianyu verfasserin aut Hu, Weiyue verfasserin aut Guan, Quanquan verfasserin aut Tun, Hein M. verfasserin aut Chen, Yi verfasserin aut Chen, Rui verfasserin aut Sun, Zhiwei verfasserin aut Chen, Ting verfasserin aut Xia, Yankai verfasserin (orcid)0000-0003-0484-4035 aut Enthalten in The science of the total environment Amsterdam [u.a.] : Elsevier Science, 1972 730 Online-Ressource (DE-627)306591456 (DE-600)1498726-0 (DE-576)081953178 1879-1026 nnns volume:730 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA SSG-OPC-GGO 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_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 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 43.12 Umweltchemie 43.13 Umwelttoxikologie 44.13 Medizinische Ökologie AR 730 |
| allfields_unstemmed |
10.1016/j.scitotenv.2020.138982 doi (DE-627)ELV004158105 (ELSEVIER)S0048-9697(20)32499-2 DE-627 ger DE-627 rda eng 333.7 610 DE-600 43.12 bkl 43.13 bkl 44.13 bkl Zhang, Mingzhi verfasserin aut Increased risk of gestational diabetes mellitus in women with higher prepregnancy ambient PM 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Air pollution is a serious environmental problem in China. This study was designed to investigate whether exposure to particulate matter with an aerodynamic diameter ≤ 2.5 μm (PM2.5) before pregnancy is associated with gestational diabetes mellitus (GDM) and fasting glucose in China.Methods: We recruited subjects and collected clinical data from the Nanjing Maternity and Child Health Care Hospital from July 2016 to October 2017. A series of validated land-use regression (LUR) models were built to assess individual exposure to PM2.5 in a 1 × 1 km area at both work and home addresses following a time-weighted pattern. Multiple linear regression and logistic regression analyses were performed to examine the association between PM2.5 exposure and GDM and fasting glucose.Results: In total, 11,639 of 16,995 women were included in the final analysis. Among the 11,639 women, 2776 (23.85%) had GDM. Individual exposure to PM2.5 within three months before pregnancy ranged from 21.58 to 85.92 μg/m3. Positive associations were observed among the interquartile ranges (IQRs) of exposure to PM2.5 within three months before pregnancy and GDM (OR = 2.61, 95% CI: 1.40–4.93, p < .01) as well as fasting glucose levels (β = 0.57, 95% CI: 0.45–0.68, p < .01). The diabetogenic effects of PM2.5 gradually increased from the first month before pregnancy, peaked in the second month and then gradually decreased until the third month when the week-specific exposure were analyzed to identify the sensitive time window.Conclusion: Our study confirmed that higher exposure to PM2.5 within three months before pregnancy is significantly associated with increased risk of GDM and elevated fasting glucose levels, reflecting the importance of preconceptional environmental exposure in the development of maternal GDM. PM Fasting glucose Gestational diabetes mellitus Preconception Wang, Xu verfasserin aut Yang, Xu verfasserin aut Dong, Tianyu verfasserin aut Hu, Weiyue verfasserin aut Guan, Quanquan verfasserin aut Tun, Hein M. verfasserin aut Chen, Yi verfasserin aut Chen, Rui verfasserin aut Sun, Zhiwei verfasserin aut Chen, Ting verfasserin aut Xia, Yankai verfasserin (orcid)0000-0003-0484-4035 aut Enthalten in The science of the total environment Amsterdam [u.a.] : Elsevier Science, 1972 730 Online-Ressource (DE-627)306591456 (DE-600)1498726-0 (DE-576)081953178 1879-1026 nnns volume:730 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA SSG-OPC-GGO 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_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 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 43.12 Umweltchemie 43.13 Umwelttoxikologie 44.13 Medizinische Ökologie AR 730 |
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10.1016/j.scitotenv.2020.138982 doi (DE-627)ELV004158105 (ELSEVIER)S0048-9697(20)32499-2 DE-627 ger DE-627 rda eng 333.7 610 DE-600 43.12 bkl 43.13 bkl 44.13 bkl Zhang, Mingzhi verfasserin aut Increased risk of gestational diabetes mellitus in women with higher prepregnancy ambient PM 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Air pollution is a serious environmental problem in China. This study was designed to investigate whether exposure to particulate matter with an aerodynamic diameter ≤ 2.5 μm (PM2.5) before pregnancy is associated with gestational diabetes mellitus (GDM) and fasting glucose in China.Methods: We recruited subjects and collected clinical data from the Nanjing Maternity and Child Health Care Hospital from July 2016 to October 2017. A series of validated land-use regression (LUR) models were built to assess individual exposure to PM2.5 in a 1 × 1 km area at both work and home addresses following a time-weighted pattern. Multiple linear regression and logistic regression analyses were performed to examine the association between PM2.5 exposure and GDM and fasting glucose.Results: In total, 11,639 of 16,995 women were included in the final analysis. Among the 11,639 women, 2776 (23.85%) had GDM. Individual exposure to PM2.5 within three months before pregnancy ranged from 21.58 to 85.92 μg/m3. Positive associations were observed among the interquartile ranges (IQRs) of exposure to PM2.5 within three months before pregnancy and GDM (OR = 2.61, 95% CI: 1.40–4.93, p < .01) as well as fasting glucose levels (β = 0.57, 95% CI: 0.45–0.68, p < .01). The diabetogenic effects of PM2.5 gradually increased from the first month before pregnancy, peaked in the second month and then gradually decreased until the third month when the week-specific exposure were analyzed to identify the sensitive time window.Conclusion: Our study confirmed that higher exposure to PM2.5 within three months before pregnancy is significantly associated with increased risk of GDM and elevated fasting glucose levels, reflecting the importance of preconceptional environmental exposure in the development of maternal GDM. PM Fasting glucose Gestational diabetes mellitus Preconception Wang, Xu verfasserin aut Yang, Xu verfasserin aut Dong, Tianyu verfasserin aut Hu, Weiyue verfasserin aut Guan, Quanquan verfasserin aut Tun, Hein M. verfasserin aut Chen, Yi verfasserin aut Chen, Rui verfasserin aut Sun, Zhiwei verfasserin aut Chen, Ting verfasserin aut Xia, Yankai verfasserin (orcid)0000-0003-0484-4035 aut Enthalten in The science of the total environment Amsterdam [u.a.] : Elsevier Science, 1972 730 Online-Ressource (DE-627)306591456 (DE-600)1498726-0 (DE-576)081953178 1879-1026 nnns volume:730 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA SSG-OPC-GGO 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_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 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 43.12 Umweltchemie 43.13 Umwelttoxikologie 44.13 Medizinische Ökologie AR 730 |
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10.1016/j.scitotenv.2020.138982 doi (DE-627)ELV004158105 (ELSEVIER)S0048-9697(20)32499-2 DE-627 ger DE-627 rda eng 333.7 610 DE-600 43.12 bkl 43.13 bkl 44.13 bkl Zhang, Mingzhi verfasserin aut Increased risk of gestational diabetes mellitus in women with higher prepregnancy ambient PM 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Air pollution is a serious environmental problem in China. This study was designed to investigate whether exposure to particulate matter with an aerodynamic diameter ≤ 2.5 μm (PM2.5) before pregnancy is associated with gestational diabetes mellitus (GDM) and fasting glucose in China.Methods: We recruited subjects and collected clinical data from the Nanjing Maternity and Child Health Care Hospital from July 2016 to October 2017. A series of validated land-use regression (LUR) models were built to assess individual exposure to PM2.5 in a 1 × 1 km area at both work and home addresses following a time-weighted pattern. Multiple linear regression and logistic regression analyses were performed to examine the association between PM2.5 exposure and GDM and fasting glucose.Results: In total, 11,639 of 16,995 women were included in the final analysis. Among the 11,639 women, 2776 (23.85%) had GDM. Individual exposure to PM2.5 within three months before pregnancy ranged from 21.58 to 85.92 μg/m3. Positive associations were observed among the interquartile ranges (IQRs) of exposure to PM2.5 within three months before pregnancy and GDM (OR = 2.61, 95% CI: 1.40–4.93, p < .01) as well as fasting glucose levels (β = 0.57, 95% CI: 0.45–0.68, p < .01). The diabetogenic effects of PM2.5 gradually increased from the first month before pregnancy, peaked in the second month and then gradually decreased until the third month when the week-specific exposure were analyzed to identify the sensitive time window.Conclusion: Our study confirmed that higher exposure to PM2.5 within three months before pregnancy is significantly associated with increased risk of GDM and elevated fasting glucose levels, reflecting the importance of preconceptional environmental exposure in the development of maternal GDM. PM Fasting glucose Gestational diabetes mellitus Preconception Wang, Xu verfasserin aut Yang, Xu verfasserin aut Dong, Tianyu verfasserin aut Hu, Weiyue verfasserin aut Guan, Quanquan verfasserin aut Tun, Hein M. verfasserin aut Chen, Yi verfasserin aut Chen, Rui verfasserin aut Sun, Zhiwei verfasserin aut Chen, Ting verfasserin aut Xia, Yankai verfasserin (orcid)0000-0003-0484-4035 aut Enthalten in The science of the total environment Amsterdam [u.a.] : Elsevier Science, 1972 730 Online-Ressource (DE-627)306591456 (DE-600)1498726-0 (DE-576)081953178 1879-1026 nnns volume:730 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA SSG-OPC-GGO 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_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 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 43.12 Umweltchemie 43.13 Umwelttoxikologie 44.13 Medizinische Ökologie AR 730 |
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Zhang, Mingzhi @@aut@@ Wang, Xu @@aut@@ Yang, Xu @@aut@@ Dong, Tianyu @@aut@@ Hu, Weiyue @@aut@@ Guan, Quanquan @@aut@@ Tun, Hein M. @@aut@@ Chen, Yi @@aut@@ Chen, Rui @@aut@@ Sun, Zhiwei @@aut@@ Chen, Ting @@aut@@ Xia, Yankai @@aut@@ |
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increased risk of gestational diabetes mellitus in women with higher prepregnancy ambient pm |
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Increased risk of gestational diabetes mellitus in women with higher prepregnancy ambient PM |
| abstract |
Background: Air pollution is a serious environmental problem in China. This study was designed to investigate whether exposure to particulate matter with an aerodynamic diameter ≤ 2.5 μm (PM2.5) before pregnancy is associated with gestational diabetes mellitus (GDM) and fasting glucose in China.Methods: We recruited subjects and collected clinical data from the Nanjing Maternity and Child Health Care Hospital from July 2016 to October 2017. A series of validated land-use regression (LUR) models were built to assess individual exposure to PM2.5 in a 1 × 1 km area at both work and home addresses following a time-weighted pattern. Multiple linear regression and logistic regression analyses were performed to examine the association between PM2.5 exposure and GDM and fasting glucose.Results: In total, 11,639 of 16,995 women were included in the final analysis. Among the 11,639 women, 2776 (23.85%) had GDM. Individual exposure to PM2.5 within three months before pregnancy ranged from 21.58 to 85.92 μg/m3. Positive associations were observed among the interquartile ranges (IQRs) of exposure to PM2.5 within three months before pregnancy and GDM (OR = 2.61, 95% CI: 1.40–4.93, p < .01) as well as fasting glucose levels (β = 0.57, 95% CI: 0.45–0.68, p < .01). The diabetogenic effects of PM2.5 gradually increased from the first month before pregnancy, peaked in the second month and then gradually decreased until the third month when the week-specific exposure were analyzed to identify the sensitive time window.Conclusion: Our study confirmed that higher exposure to PM2.5 within three months before pregnancy is significantly associated with increased risk of GDM and elevated fasting glucose levels, reflecting the importance of preconceptional environmental exposure in the development of maternal GDM. |
| abstractGer |
Background: Air pollution is a serious environmental problem in China. This study was designed to investigate whether exposure to particulate matter with an aerodynamic diameter ≤ 2.5 μm (PM2.5) before pregnancy is associated with gestational diabetes mellitus (GDM) and fasting glucose in China.Methods: We recruited subjects and collected clinical data from the Nanjing Maternity and Child Health Care Hospital from July 2016 to October 2017. A series of validated land-use regression (LUR) models were built to assess individual exposure to PM2.5 in a 1 × 1 km area at both work and home addresses following a time-weighted pattern. Multiple linear regression and logistic regression analyses were performed to examine the association between PM2.5 exposure and GDM and fasting glucose.Results: In total, 11,639 of 16,995 women were included in the final analysis. Among the 11,639 women, 2776 (23.85%) had GDM. Individual exposure to PM2.5 within three months before pregnancy ranged from 21.58 to 85.92 μg/m3. Positive associations were observed among the interquartile ranges (IQRs) of exposure to PM2.5 within three months before pregnancy and GDM (OR = 2.61, 95% CI: 1.40–4.93, p < .01) as well as fasting glucose levels (β = 0.57, 95% CI: 0.45–0.68, p < .01). The diabetogenic effects of PM2.5 gradually increased from the first month before pregnancy, peaked in the second month and then gradually decreased until the third month when the week-specific exposure were analyzed to identify the sensitive time window.Conclusion: Our study confirmed that higher exposure to PM2.5 within three months before pregnancy is significantly associated with increased risk of GDM and elevated fasting glucose levels, reflecting the importance of preconceptional environmental exposure in the development of maternal GDM. |
| abstract_unstemmed |
Background: Air pollution is a serious environmental problem in China. This study was designed to investigate whether exposure to particulate matter with an aerodynamic diameter ≤ 2.5 μm (PM2.5) before pregnancy is associated with gestational diabetes mellitus (GDM) and fasting glucose in China.Methods: We recruited subjects and collected clinical data from the Nanjing Maternity and Child Health Care Hospital from July 2016 to October 2017. A series of validated land-use regression (LUR) models were built to assess individual exposure to PM2.5 in a 1 × 1 km area at both work and home addresses following a time-weighted pattern. Multiple linear regression and logistic regression analyses were performed to examine the association between PM2.5 exposure and GDM and fasting glucose.Results: In total, 11,639 of 16,995 women were included in the final analysis. Among the 11,639 women, 2776 (23.85%) had GDM. Individual exposure to PM2.5 within three months before pregnancy ranged from 21.58 to 85.92 μg/m3. Positive associations were observed among the interquartile ranges (IQRs) of exposure to PM2.5 within three months before pregnancy and GDM (OR = 2.61, 95% CI: 1.40–4.93, p < .01) as well as fasting glucose levels (β = 0.57, 95% CI: 0.45–0.68, p < .01). The diabetogenic effects of PM2.5 gradually increased from the first month before pregnancy, peaked in the second month and then gradually decreased until the third month when the week-specific exposure were analyzed to identify the sensitive time window.Conclusion: Our study confirmed that higher exposure to PM2.5 within three months before pregnancy is significantly associated with increased risk of GDM and elevated fasting glucose levels, reflecting the importance of preconceptional environmental exposure in the development of maternal GDM. |
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| score |
7.402275 |