Risk of De Novo Hypertensive Disorders of Pregnancy After Exposure to PM1 and PM2.5 During the Period From Preconception to Delivery: Birth Cohort Study
BackgroundParticulate matter (PM) is detrimental to the respiratory and circulatory systems. However, no study has evaluated the lag effects of weekly exposure to fine PM during the period from preconception to delivery on the risk of hypertensive disorders of pregnancy (HDPs...
| Main Authors: | , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2023-01-01
|
| Series: | JMIR Public Health and Surveillance |
| Online Access: | https://publichealth.jmir.org/2023/1/e41442 |
| _version_ | 1797734454461988864 |
|---|---|
| author | Zhichao Yuan Hai-Jun Wang Qin Li Tao Su Jie Yang Junjun Chen Yuanzhou Peng Shuang Zhou Heling Bao Shusheng Luo Hui Wang Jue Liu Na Han Yuming Guo Yuelong Ji |
| author_facet | Zhichao Yuan Hai-Jun Wang Qin Li Tao Su Jie Yang Junjun Chen Yuanzhou Peng Shuang Zhou Heling Bao Shusheng Luo Hui Wang Jue Liu Na Han Yuming Guo Yuelong Ji |
| author_sort | Zhichao Yuan |
| collection | DOAJ |
| description |
BackgroundParticulate matter (PM) is detrimental to the respiratory and circulatory systems. However, no study has evaluated the lag effects of weekly exposure to fine PM during the period from preconception to delivery on the risk of hypertensive disorders of pregnancy (HDPs).
ObjectiveWe set out to investigate the lag effect windows of PM on the risk of HDPs on a weekly scale.
MethodsData from women with de novo HDPs and normotensive pregnant women who were part of the Peking University Retrospective Birth Cohort, based on the hospital information system of Tongzhou district, were obtained for this study. Meteorological data and data on exposure to fine PM were predicted by satellite remote sensing data based on maternal residential address. The de novo HDP group consisted of pregnant women who were diagnosed with gestational hypertension or preeclampsia. Fine PM was defined as PM2.5 and PM1. The gestational stage of participants was from preconception (starting 12 weeks before gestation) to delivery (before the 42nd gestational week). A distributed-lag nonlinear model (DLNM) was nested in a Cox regression model to evaluate the lag effects of weekly PM exposure on de novo HDP hazard by controlling the nonlinear relationship of exposure–reaction. Stratified analyses by employment status (employed or unemployed), education level (higher or lower), and parity (primiparity or multiparity) were performed.
ResultsA total of 22,570 pregnant women (mean age 29.1 years) for whom data were available between 2013 and 2017 were included in this study. The prevalence of de novo HDPs was 6.7% (1520/22,570). Our findings showed that PM1 and PM2.5 were significantly associated with an elevated hazard of HDPs. Exposure to PM1 during the 5th week before gestation to the 6th gestational week increased the hazard of HDPs. A significant lag effect of PM2.5 was observed from the 1st week before gestation to the 6th gestational week. The strongest lag effects of PM1 and PM2.5 on de novo HDPs were observed at week 2 and week 6 (hazard ratio [HR] 1.024, 95% CI 1.007-1.042; HR 1.007, 95% CI 1.000-1.015, respectively, per 10 μg/m3 increase). The stratified analyses indicated that pregnant women who were employed, had low education, and were primiparous were more vulnerable to PM exposure for de novo HDPs.
ConclusionsExposure to PM1 and PM2.5 was associated with the risk of de novo HDPs. There were significant lag windows between the preconception period and the first trimester. Women who were employed, had low education, and were primiparous were more vulnerable to the effects of PM exposure; more attention should be paid to these groups for early prevention of de novo HDPs. |
| first_indexed | 2024-03-12T12:44:18Z |
| format | Article |
| id | doaj.art-3b5fbcde0927492688b29c7fbc593da9 |
| institution | Directory Open Access Journal |
| issn | 2369-2960 |
| language | English |
| last_indexed | 2024-03-12T12:44:18Z |
| publishDate | 2023-01-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Public Health and Surveillance |
| spelling | doaj.art-3b5fbcde0927492688b29c7fbc593da92023-08-28T23:28:48ZengJMIR PublicationsJMIR Public Health and Surveillance2369-29602023-01-019e4144210.2196/41442Risk of De Novo Hypertensive Disorders of Pregnancy After Exposure to PM1 and PM2.5 During the Period From Preconception to Delivery: Birth Cohort StudyZhichao Yuanhttps://orcid.org/0000-0002-1264-3084Hai-Jun Wanghttps://orcid.org/0000-0003-0849-2903Qin Lihttps://orcid.org/0000-0002-8633-8859Tao Suhttps://orcid.org/0000-0001-6311-0707Jie Yanghttps://orcid.org/0000-0003-0438-0963Junjun Chenhttps://orcid.org/0000-0002-3783-6085Yuanzhou Penghttps://orcid.org/0000-0001-8848-4908Shuang Zhouhttps://orcid.org/0000-0003-0387-5489Heling Baohttps://orcid.org/0000-0003-3538-0245Shusheng Luohttps://orcid.org/0000-0003-4796-4985Hui Wanghttps://orcid.org/0000-0002-7639-5702Jue Liuhttps://orcid.org/0000-0002-1938-9365Na Hanhttps://orcid.org/0000-0002-2356-0882Yuming Guohttps://orcid.org/0000-0002-1766-6592Yuelong Jihttps://orcid.org/0000-0001-6901-5030 BackgroundParticulate matter (PM) is detrimental to the respiratory and circulatory systems. However, no study has evaluated the lag effects of weekly exposure to fine PM during the period from preconception to delivery on the risk of hypertensive disorders of pregnancy (HDPs). ObjectiveWe set out to investigate the lag effect windows of PM on the risk of HDPs on a weekly scale. MethodsData from women with de novo HDPs and normotensive pregnant women who were part of the Peking University Retrospective Birth Cohort, based on the hospital information system of Tongzhou district, were obtained for this study. Meteorological data and data on exposure to fine PM were predicted by satellite remote sensing data based on maternal residential address. The de novo HDP group consisted of pregnant women who were diagnosed with gestational hypertension or preeclampsia. Fine PM was defined as PM2.5 and PM1. The gestational stage of participants was from preconception (starting 12 weeks before gestation) to delivery (before the 42nd gestational week). A distributed-lag nonlinear model (DLNM) was nested in a Cox regression model to evaluate the lag effects of weekly PM exposure on de novo HDP hazard by controlling the nonlinear relationship of exposure–reaction. Stratified analyses by employment status (employed or unemployed), education level (higher or lower), and parity (primiparity or multiparity) were performed. ResultsA total of 22,570 pregnant women (mean age 29.1 years) for whom data were available between 2013 and 2017 were included in this study. The prevalence of de novo HDPs was 6.7% (1520/22,570). Our findings showed that PM1 and PM2.5 were significantly associated with an elevated hazard of HDPs. Exposure to PM1 during the 5th week before gestation to the 6th gestational week increased the hazard of HDPs. A significant lag effect of PM2.5 was observed from the 1st week before gestation to the 6th gestational week. The strongest lag effects of PM1 and PM2.5 on de novo HDPs were observed at week 2 and week 6 (hazard ratio [HR] 1.024, 95% CI 1.007-1.042; HR 1.007, 95% CI 1.000-1.015, respectively, per 10 μg/m3 increase). The stratified analyses indicated that pregnant women who were employed, had low education, and were primiparous were more vulnerable to PM exposure for de novo HDPs. ConclusionsExposure to PM1 and PM2.5 was associated with the risk of de novo HDPs. There were significant lag windows between the preconception period and the first trimester. Women who were employed, had low education, and were primiparous were more vulnerable to the effects of PM exposure; more attention should be paid to these groups for early prevention of de novo HDPs.https://publichealth.jmir.org/2023/1/e41442 |
| spellingShingle | Zhichao Yuan Hai-Jun Wang Qin Li Tao Su Jie Yang Junjun Chen Yuanzhou Peng Shuang Zhou Heling Bao Shusheng Luo Hui Wang Jue Liu Na Han Yuming Guo Yuelong Ji Risk of De Novo Hypertensive Disorders of Pregnancy After Exposure to PM1 and PM2.5 During the Period From Preconception to Delivery: Birth Cohort Study JMIR Public Health and Surveillance |
| title | Risk of De Novo Hypertensive Disorders of Pregnancy After Exposure to PM1 and PM2.5 During the Period From Preconception to Delivery: Birth Cohort Study |
| title_full | Risk of De Novo Hypertensive Disorders of Pregnancy After Exposure to PM1 and PM2.5 During the Period From Preconception to Delivery: Birth Cohort Study |
| title_fullStr | Risk of De Novo Hypertensive Disorders of Pregnancy After Exposure to PM1 and PM2.5 During the Period From Preconception to Delivery: Birth Cohort Study |
| title_full_unstemmed | Risk of De Novo Hypertensive Disorders of Pregnancy After Exposure to PM1 and PM2.5 During the Period From Preconception to Delivery: Birth Cohort Study |
| title_short | Risk of De Novo Hypertensive Disorders of Pregnancy After Exposure to PM1 and PM2.5 During the Period From Preconception to Delivery: Birth Cohort Study |
| title_sort | risk of de novo hypertensive disorders of pregnancy after exposure to pm1 and pm2 5 during the period from preconception to delivery birth cohort study |
| url | https://publichealth.jmir.org/2023/1/e41442 |
| work_keys_str_mv | AT zhichaoyuan riskofdenovohypertensivedisordersofpregnancyafterexposuretopm1andpm25duringtheperiodfrompreconceptiontodeliverybirthcohortstudy AT haijunwang riskofdenovohypertensivedisordersofpregnancyafterexposuretopm1andpm25duringtheperiodfrompreconceptiontodeliverybirthcohortstudy AT qinli riskofdenovohypertensivedisordersofpregnancyafterexposuretopm1andpm25duringtheperiodfrompreconceptiontodeliverybirthcohortstudy AT taosu riskofdenovohypertensivedisordersofpregnancyafterexposuretopm1andpm25duringtheperiodfrompreconceptiontodeliverybirthcohortstudy AT jieyang riskofdenovohypertensivedisordersofpregnancyafterexposuretopm1andpm25duringtheperiodfrompreconceptiontodeliverybirthcohortstudy AT junjunchen riskofdenovohypertensivedisordersofpregnancyafterexposuretopm1andpm25duringtheperiodfrompreconceptiontodeliverybirthcohortstudy AT yuanzhoupeng riskofdenovohypertensivedisordersofpregnancyafterexposuretopm1andpm25duringtheperiodfrompreconceptiontodeliverybirthcohortstudy AT shuangzhou riskofdenovohypertensivedisordersofpregnancyafterexposuretopm1andpm25duringtheperiodfrompreconceptiontodeliverybirthcohortstudy AT helingbao riskofdenovohypertensivedisordersofpregnancyafterexposuretopm1andpm25duringtheperiodfrompreconceptiontodeliverybirthcohortstudy AT shushengluo riskofdenovohypertensivedisordersofpregnancyafterexposuretopm1andpm25duringtheperiodfrompreconceptiontodeliverybirthcohortstudy AT huiwang riskofdenovohypertensivedisordersofpregnancyafterexposuretopm1andpm25duringtheperiodfrompreconceptiontodeliverybirthcohortstudy AT jueliu riskofdenovohypertensivedisordersofpregnancyafterexposuretopm1andpm25duringtheperiodfrompreconceptiontodeliverybirthcohortstudy AT nahan riskofdenovohypertensivedisordersofpregnancyafterexposuretopm1andpm25duringtheperiodfrompreconceptiontodeliverybirthcohortstudy AT yumingguo riskofdenovohypertensivedisordersofpregnancyafterexposuretopm1andpm25duringtheperiodfrompreconceptiontodeliverybirthcohortstudy AT yuelongji riskofdenovohypertensivedisordersofpregnancyafterexposuretopm1andpm25duringtheperiodfrompreconceptiontodeliverybirthcohortstudy |