Burden of multiple high-risk factors in pregnancy before and after the universal two-child policy in Chinese women: An observational study

被引:8
作者
Zhang, Yue [1 ]
Ding, Weijie [2 ]
Dai, Xiaochen [3 ,4 ]
Wang, Hui [1 ,2 ]
Cheng, Yangyang [1 ]
Dai, Jiyue [2 ]
Zhu, Xiaoqin [2 ]
Xu, Xiaolin [1 ,5 ]
机构
[1] Zhejiang Univ, Affiliated Hosp 2, Sch Med, Sch Publ Hlth, 886 Yuhangtang Rd, Hangzhou 310058, Zhejiang, Peoples R China
[2] Yangzhou Univ, Hlth Care Dept, Huaian Maternal & Child Hlth Care Hosp, 6 Baiyun Rd, Huaian 223002, Jiangsu, Peoples R China
[3] Univ Washington, Sch Med, Dept Hlth Metr Sci, Seattle, WA USA
[4] Univ Washington, Inst Hlth Metr & Evaluat, Seattle, WA USA
[5] Univ Queensland, Sch Publ Hlth, Fac Med, Brisbane, Qld, Australia
关键词
MORTALITY; DELIVERY; OUTCOMES; HEALTH;
D O I
10.7189/jogh.14.04134
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background The prevalence of high-risk pregnancy increased after the implementation of two-child policy in China, but the impact of this policy change on the burden and profile of multiple high-risk factors in pregnancy (MHFP) has been insufficiently explored. We hypothesised that the profile of MHFP might have changed after the two-child policy was implemented and aimed to estimate the prevalence, intercorrelation, and outcomes of MHFP before and after its introduction. Methods We obtained data on the population of pregnant women before (2015) and after (2020/2021) the implementation of universal two-child policy in Huai'an. We then included 33 risk factors in our analysis based on the Five-Colour Management framework and defined MHFP as an individual having two or more of these factors. We also estimated the changes of the prevalence of each single factor and their coexistence. Lastly, we performed a network analysis to assess the intercorrelations across these factors and used logistic regression models to evaluate MHFP-related pregnancy outcomes. Results We observed an increase in the prevalence of MHFP after the implementation of the universal two-child policy (25.8% in 2015 vs 38.4% in 2020/2021, P < 0.01). Chronic conditions (e.g. gestational diabetes mellitus, abnormal body mass index) had the largest increase among the included factors, while cardiovascular disease and hypertensive disorders were central factors of the network structures. The correlations of advanced maternal age with abnormal pregnancy histories and scarred uteri increased significantly from 2015 to 2020/2021. MHFP was associated with multiple pregnancy outcomes, including preterm birth (adjusted odds ratio (aOR) = 2.57; 95% confidence interval (CI) = 2.39-2.75), low birthweight (aOR = 2.77; 95% CI = 2.54-3.02), low Apgar score (aOR = 1.41; 95% CI = 1.19-1.67), perinatal death (aOR = 1.75; 95% CI = 1.44-2.12), and neonatal death (aOR = 1.76; 95% CI = 1.42-2.18). Moreover, an increasing number and certain combinations of MHFP were associated with higher odds of pregnancy outcomes. For example, the aOR of preterm birth increased from 1.67 (95% CI = 1.52-1.87) for one risk factor to 8.03 (95% CI = 6.99-9.22) for >= 4 risk factors. Conclusions Chinese women experienced a higher burden of multiple high- risk factors after the introduction of the two-child policy, particularly those with advanced maternal age, obesity, and chronic conditions. Strategies targeting chronic conditions for women with MHFP should be prioritised and a shift to a multiple-factor-oriented framework is needed in the expanding Chinese maternal health care system.
引用
收藏
页数:14
相关论文
共 59 条
[1]  
Advanced Research Computing Statistical Methods and Data Analytics, 2023, Multiple imputation in SAS Part 1
[2]   Gestational Diabetes Mellitus: A Harbinger of the Vicious Cycle of Diabetes [J].
Alejandro, Emilyn U. ;
Mamerto, Therriz P. ;
Chung, Grace ;
Villavieja, Adrian ;
Gaus, Nawirah Lumna ;
Morgan, Elizabeth ;
Pineda-Cortel, Maria Ruth B. .
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2020, 21 (14) :1-21
[3]  
[Anonymous], 2024, SAS/STAT(R) 9.3 User's Guide
[4]   Maternal multimorbidity and preterm birth in Scotland: an observational record-linkage study [J].
Azcoaga-Lorenzo, Amaya ;
Fagbamigbe, Adeniyi Francis ;
Agrawal, Utkarsh ;
Black, Mairead ;
Usman, Muhammad ;
Lee, Siang Ing ;
Eastwood, Kelly-Ann ;
Moss, Ngawai ;
Plachcinski, Rachel ;
Nelson-Piercy, Catherine ;
Brophy, Sinead ;
O'Reilly, Dermot ;
Nirantharakumar, Krishnarajah ;
Mccowan, Colin .
BMC MEDICINE, 2023, 21 (01)
[5]   National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications [J].
Blencowe, Hannah ;
Cousens, Simon ;
Oestergaard, Mikkel Z. ;
Chou, Doris ;
Moller, Ann-Beth ;
Narwal, Rajesh ;
Adler, Alma ;
Garcia, Claudia Vera ;
Rohde, Sarah ;
Say, Lale ;
Lawn, Joy E. .
LANCET, 2012, 379 (9832) :2162-2172
[6]   Identification and mitigation of high-risk pregnancy with the Community Maternal Danger Score Mobile Application in Gboko, Nigeria [J].
Bola, Rajan ;
Ujoh, Fanan ;
Lett, Ronald .
PLOS ONE, 2022, 17 (09)
[7]   Robustness and replicability of psychopathology networks [J].
Borsboom, Denny ;
Robinaugh, Donald J. ;
Rhemtulla, Mijke ;
Cramer, Angelique O. J. .
WORLD PSYCHIATRY, 2018, 17 (02) :143-144
[8]   Why Is US Maternal Mortality Rising? [J].
Carroll, Aaron E. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2017, 318 (04) :321-321
[9]   Investigation of maternal psychopathological symptoms, dream anxiety and insomnia in preeclampsia [J].
Cetin, Orkun ;
Ozdemir, Pinar Guzel ;
Kurdoglu, Zehra ;
Sahin, Hanim Guler .
JOURNAL OF MATERNAL-FETAL & NEONATAL MEDICINE, 2017, 30 (20) :2510-2515
[10]   Extended Bayesian information criteria for model selection with large model spaces [J].
Chen, Jiahua ;
Chen, Zehua .
BIOMETRIKA, 2008, 95 (03) :759-771