| Citation: |
CHEN Yu Hua, GE Cui Cui, YIN Ya Tong, YUAN Li. Analysis of perinatal birth defect surveillance in Qingdao, Shandong, 2012 － 2021[J]. CHINESE JOURNAL OF WOMEN AND CHILDREN HEALTH, 2022, 13(4): 53-57. DOI: 10.19757/j.cnki.issn1674-7763.2022.04.009
|
To analyze the situation of perinatal birth defects in Qingdao, Shandong Province from 2012 to 2021, and to provide basis for comprehensive prevention and treatment.
Hospital surveillance data of perinatal birth defects in Qingdao, Shandong Province from 2012 to 2021 were collected, χ2 test and χ2 trend test were used for statistical analysis.
The average incidence rate of birth defects was 78.83/10 000 in Qingdao, Shandong Province from 2012 to 2021, showing an upward trend （χ2trend=211.87, P < 0.001）. The incidence of perinatal birth defects in male （86.73/10 000） was higher than that in female （69.85/10 000）, while this number in urban area （123.88/10 000） was higher than that in rural area（40.83/10 000）, and the differences were statistically significant （χ2=94.71, P < 0.001； χ2=2 275.238, P < 0.001）. There were significant differences in the incidence of birth defects among different age groups （ P < 0.001）. The top five birth defects were congenital heart disease, hyprdactylia, symphysodactylia, total cleft lip, and other deformities of the external ear in Qingdao from 2012 to 2021.
The rates of birth defect have been increasing in Qingdao, Shandong Province from 2012 to 2021. Congenital heart disease has always been the top 1 birth defect, and birth defects are related to perinatal gender, urban-rural distribution, and maternal age. Therefore, advocacy should be strengthened, age-appropriate childbearing should be encouraged, attention should be paid to environmental exposure and genetic factors, so as to explore effective ways to reduce the high incidence of birth defects.
| [1] |
Rutkowski RE, Salemi JL, Tanner JP, et al. Assessing the impact of different race-bridging algorithms on the reported rate of birth defects[J]. J Registry Manag, 2017,44(4):146-156.
|
| [2] |
柏如海,王玲玲,章琦,等. 2010 — 2013年陕西省出生缺陷空间分布及空间聚集性[J].中南大学学报（医学版）,2017,42(4):451-456. https://www.cnki.com.cn/Article/CJFDTOTAL-HNYD201704014.htm
|
| [3] |
王晓波,张晓辉,吴巍巍,等. 二胎政策开放后出生缺陷发生率变化趋势分析[J].中国实用妇科与产科杂志, 2018,34(9): 1051-1054. doi: 10.19538/j.fk2018090125
|
| [4] |
原国家卫生部.《中国出生缺陷防治报告（2012）》发布[EB/OL].（2012-10-13）[2022-03-10]. https://www.ynjkjy.com/detail/id/595.html.
|
| [5] |
张红艳,胡孟彩,陈露,等.河南省2008 — 2017年围产儿出生缺陷监测情况分析[J].中国妇幼卫生杂志,2019,10(2):35-40. https://www.cnki.com.cn/Article/CJFDTOTAL-YZWS201902008.htm
|
| [6] |
谢琼,谭红专,秦家碧,等.湖南省2007 — 2016年以医院为基础的出生缺陷监测情况分析[J].实用预防医学,2017,24(9):1031-1036. doi: 10.3969/j.issn.1006-3110.2017.09.002
|
| [7] |
李文先,杜莉,李旻明.2016 — 2018年上海市不同监测时段出生缺陷发病率比较[J].中华疾病控制杂志,2021,25(10):1226-1230. https://www.cnki.com.cn/Article/CJFDTOTAL-JBKZ202110020.htm
|
| [8] |
吴晓雪,邱园园,孙建乐,等.2013 — 2018年温州市围产儿出生缺陷分析[J].中国预防医学杂志,2021,22(1):48-52. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGYC202101012.htm
|
| [9] |
俞鹏,邓晓龙,袁军.2017 — 2020年泰州市新生儿出生缺陷发生率调查及特征观察[J].中国妇幼健康研究,2021,32(9):1245-1249. doi: 10.3969/j.issn.1673-5293.2021.09.002
|
| [10] |
郑思佳,蔡春梅,郭孝敏,等.四川省宜宾市2014 — 2018年围产儿出生缺陷监测分析[J].中国卫生产业,2019,16(28):11-13. https://www.cnki.com.cn/Article/CJFDTOTAL-WSCY201928005.htm
|
| [11] |
上海市卫生健康委员会.上海市卫生计生数据[EB/OL]. （2016-03-28） [2019-10-20]. http://wsjkw.sh.gov.cn/.
|
| [12] |
徐君球,连宏宇,孙满英.舟山市围产儿出生缺陷分析[J].预防医学,2019,31(7):740-741. doi: 10.19485/j.cnki.issn2096-5087.2019.07.027
|
| [13] |
顾翼洋,孙晓艳,陈定华,等. 嘉兴市出生缺陷监测资料分析[J].预防医学,2019,31(1):92-93,96. doi: 10.3969/j.issn.1007-0931.2019.01.025
|
| [14] |
徐芳,陈娟娟,赵影.安徽省界首市2014 — 2018年围产儿出生缺陷监测结果分析[J].中国妇幼卫生杂志,2019,10(4):63-65,73. https://www.cnki.com.cn/Article/CJFDTOTAL-YZWS201904017.htm
|
| [15] |
罗灿,徐昊立,陈婷婷,等.广东2006 — 2015年围产儿出生缺陷监测分析[J]. 中国公共卫生, 2017,33(11): 1669-1672. doi: 10.11847/zgggws2017-33-11-33
|
| [16] |
陈子江. “二孩”生育政策后再生育的临床思考[J].山东大学学报（医学版）,2017,55(1):1-4. https://www.cnki.com.cn/Article/CJFDTOTAL-SDYB201701002.htm
|
| [17] |
Zhao Q, Ma X, Jia B, et al. Prevalence of congenital heart disease at live birth： an accurate assessment by echocardiographic screening[J]. Acta Paediatrica, 2013,102(4):397-402. doi: 10.1111/apa.12170
|
| [18] |
李音,李玉芬,都菁,等.2011 — 2020年山东省青岛市5岁以下儿童死亡分析[J]. 中国妇幼卫生杂志,2021,12(6):47-51. https://www.cnki.com.cn/Article/CJFDTOTAL-YZWS202106013.htm
|
| [19] |
李武鸣.辽宁省2010 — 2014年围产儿出生缺陷监测结果分析[J].中国优生与遗传杂志,2017,25(5):98-99. https://www.cnki.com.cn/Article/CJFDTOTAL-ZYYA201705043.htm
|
| [20] |
章琦,相晓妹,宋辉,等.2010 — 2015年西安市围生儿出生缺陷的流行特征[J]. 西安交通大学学报（医学版）,2017,38(3):375-379. https://www.cnki.com.cn/Article/CJFDTOTAL-XAYX201703012.htm
|
| [21] |
林梅芳,陈枫,丁月华,等. 158 194例围产儿出生缺陷监测分析[J]. 中国卫生统计,2019,36(5):748-750. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGWT201905032.htm
|
| [22] |
樊婧,杨丽艳.长沙市2012 — 2015年出生缺陷医院监测结果分析[J]. 实用预防医学,2017,24(24):1247-1249. https://www.cnki.com.cn/Article/CJFDTOTAL-SYYY201710028.htm
|
| [23] |
刘蓉,窦海达,陈方尧,等.孕期心理等因素对出生缺陷影响[J]. 中国公共卫生, 2018,34(7):1-5. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGW201807005.htm
|
| [24] |
叶林,王德珠,朱霜,等.2015 — 2019年海口地区产科出生缺陷监测分析[J]. 中国优生与遗传杂志,2021,29(2):182-185. https://www.cnki.com.cn/Article/CJFDTOTAL-ZYYA202102012.htm
|
| [25] |
董柏青,陈碧艳,梁秋瑜,等.广西壮族自治区169万例胎儿总出生缺陷与重大出生缺陷分布特征研究[J]. 中华流行病学杂志,2019,40(12):1554-1559.
|
Supported by: Beijing Renhe Information Technology Co., Ltd. 
DownLoad: