BioMed Research International

BioMed Research International / 2021 / Article

Research Article | Open Access

Volume 2021 |Article ID 2732983 | https://doi.org/10.1155/2021/2732983

Lili Xiong, Qiongying Chen, Aihua Wang, Fanjuan Kong, Donghua Xie, Zhiqun Xie, "The Differences of Population Birth Defects in Epidemiology Analysis between the Rural and Urban Areas of Hunan Province in China, 2014–2018", BioMed Research International, vol. 2021, Article ID 2732983, 11 pages, 2021. https://doi.org/10.1155/2021/2732983

The Differences of Population Birth Defects in Epidemiology Analysis between the Rural and Urban Areas of Hunan Province in China, 2014–2018

Academic Editor: Anil K Verma
Received20 Jul 2020
Revised25 Feb 2021
Accepted10 Apr 2021
Published21 Apr 2021

Abstract

Objectives. To compare the differences of epidemiology analysis in population birth defects (BDs) between the rural and urban areas of Hunan Province in China. Methods. The data of population-based BDs in Liuyang county (rural) and Shifeng district (urban) in Hunan Province for 2014–2018 were analyzed. BD prevalence rates, percentage change, and annual percentage change (APC) by sex and age were calculated to evaluate time trends. Risk factors associated with BDs were assessed using simple and multiple logistic regression analyses. Results. The BD prevalence rate per 10,000 perinatal infants (PIs) was 220.54 (95% CI: 211.26-230.13) in Liuyang and 181.14 (95% CI: 161.18-202.87) in Shifeng. Significant decreasing trends in BD prevalence rates were noted in the female PIs (, ) and the total BD prevalence rate in Shifeng (, ). Risk factors for BDs were as follows: rural area, male PIs, PIs with gestational weeks, PIs with birth , and migrant pregnancies. Conclusions. We should focus on rural areas, reduce the prevalence of premature and low birth weight infants, and provide maternal healthcare services for migrant pregnancies for BD prevention from the perspective of population-based BD surveillance.

1. Background

Birth defects (BDs)—also called congenital anomalies—are defined by the World Health Organization (WHO) as structural, functional, or biochemical-molecular defects present at birth, whether or not detected at that time [1]. The WHO estimates that every year, 6% of all newborns worldwide are born with serious BDs, with a BD prevalence rate of 4.72% in developed countries, 5.57% in middle-income countries, and 6.42% in low-income countries [2, 3]. In China, the BD rate is reported to be 5.6%, and 900,000 newborns are found to have BDs each year [4]. BD surveillance data indicate that among China’s provinces, Hunan ranked third in 2011 in terms of the BD prevalence rate, fourth in 2012, and fifth in 2013.

Different countries have different BD surveillance systems. Hospital surveillance and population surveillance are the two main methods of BD surveillance. The European Network of Congenital Anomaly Registers was established in 1979 and is a high-quality network of population-based congenital anomaly registries across Europe for BD surveillance and research [5, 6]. In the United States, the National BDs Prevention Network publishes state-level data on major structural BDs to advance the field of BD surveillance and epidemiology, with the first Congenital Malformations Surveillance report published in 1997 [7]. Hospital BD surveillance is conducted in continents and countries, such as Latin America, China, and South Korea [4, 8, 9]. BD surveillance systems in China started in 1986. These hospital-based surveillance systems monitored about 3.63 million births, which accounted for about 22% of all births in China [10]. This surveillance method is considered to work well in China. With the growth of economies and the development of healthcare services worldwide, it is necessary to build population-based BD surveillance systems that can supplement hospital-based surveillance systems [4].

Until now, most BD research studies in China used data from hospital-based systems; no studies have used population-based BD surveillance data. This study is aimed at providing an epidemiologic profile of population-based BDs in Liuyang county (rural) and Shifeng district (urban) in Hunan Province using data from the Chinese BDs Population Monitoring Network for 2014–2018. We aimed to understand the occurrence of BDs in rural and urban areas and provide basic data and policy suggestions for the prevention of BDs from the perspective of population-based BDs.

2. Material and Methods

2.1. Study Population

Hunan Province had selected Liuyang in Changsha city and Shifeng in Zhuzhou city as rural and urban population BD surveillance sites since 2008. The reasons for selection were as follows. (1) The local health administrative department pays attention to and supports the surveillance work, supporting funds and staff. (2) The health service indicators of children and maternal system management rate and hospital delivery rate were more than 80%. (3) Health promotion such as prepregnancy healthcare, prenatal health, prenatal screening, newborn disease screening, and hearing screening had been carried out. (4) The local administration agreed to participate in the program. The monitoring subjects were the perinatal infants (PIs; including stillbirth, dead fetus, or live births) delivered by the mothers living in the monitoring area (including the mothers with local household registration and those with nonlocal household registration living in the monitoring area for more than one year). The monitoring period is from 28 weeks of gestation (if the gestational age is unclear, a birth weight of 1000 grams or more can be referred to) to 42 days after birth, during which time the BD is diagnosed. The two surveillance sites are organized and implemented by provincial administrative departments under the unified implementation plan formulated by the National Maternal and Child Health Monitoring Office.

2.2. Data Collection and Data Source

The maternal and child healthcare workers at the community health service centers in urban areas and village doctors in rural areas are responsible for collecting in the regional jurisdiction information related to all PIs delivered after the 28 weeks of gestation and filling in the “birth status and infant follow-up registration form,” which included information on family conditions, infant conditions, BD diagnosis conditions, and results of PI follow-up. They would follow up the live infants until 42 days after birth by way of postpartum visits and record the information on follow-up results on the form. The “birth status and infant follow-up registration form” of all the infants and “registration form of BDs” of those diagnosed with BDs were entered into the Chinese Birth Defects Population Monitoring system.

The diagnosis of BDs was based on the Chinese National Criteria of Birth Defects and Tiny Deformities and the clinical modification codes as congenital malformations, deformations, and chromosomal abnormalities (codes Q00–Q99) of “International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10)”. The 24 types of BDs monitored were categorized by the system affected, including neurologic system, craniofacial system, gastrointestinal system, urogenital system, musculoskeletal system, cardiovascular system, respiratory system, genetic metabolic diseases, genetic syndrome, and other BDs (i.e., those BDs do not belong to the abovementioned 9 systems). The 24 types of BDs listed in our previous research were categorized by the clinical and physical signs, including morphological and structural abnormalities, functional and metabolic abnormalities, and mental-behavioral abnormalities [11].

Cases of BDs should be diagnosed by district, county, or above medical institutions and confirmed by the expert groups for the monitoring of population BDs established by the monitoring district and county. Those pregnant women with defective fetuses found in prenatal diagnosis who want to terminate pregnancies must go to medical institutions qualified for prenatal diagnosis, which had the higher ability on the diagnostic level of B-ultra, medical genetics, obstetrics, pediatrics, pathology, or clinical laboratory. The diagnostic information about BDs would be filled in the registration forms for BDs including name, position, diagnosis time, and diagnosis based on BD diagnosis conditions.

2.3. Quality Control and Other Issues

The surveillance staff at the county level of maternal and child healthcare institutions filled in “the form of surveillance quality” including numbers of PIs, perinatal deaths, and BDs every quarter. Then, the form was returned to the surveillance staff at the municipal level of maternal and child healthcare institutions, together with the requirement of the underreporting rate of major BDs no more than 1%, the number of unreported births no more than 1%, the completeness of the report forms more than 99%, errors on report forms no more than 1%, and errors resulted from data entry no more than 1%. The provincial level of maternal and child healthcare institutions carried out the same review procedure when the municipal level had passed the review. The flow chart of population BD monitoring is listed in Figure 1. A flow chart showing how the data of the sample was selected in Liuyang and Shifeng from 2014 to 2018 is presented in Figure 2. Overall, 2423 BDs were identified. The total number of PIs in this study was 112,815. All data except for the name, address, and other information identifying the study cases in the study were regularly uploaded from the Chinese BDs Population Monitoring Network to conduct statistical analysis only. This study was conducted in compliance with local and national regulations and was approved by the Ethics Review Committee of Hunan Province Maternal and Children Health Care Hospital. The requirement for obtaining informed consent was waived because of the retrospective design of this study and only usage of monitoring data that could not identify the subjects. This study was carried out in accordance with the principles of the Declaration of Helsinki. The prevalence of BDs was expressed per 10,000 PIs.

2.4. Statistical Analysis

The total prevalence and 95% confidence intervals (CI) of BD prevalence rates grouped by maternal age and infants’ sex and 95% CI were calculated for five 1-year time intervals from 2014 to 2018. A regression line was fitted to the natural logarithm of the rates weighted by the number of cases to look specifically at time trends; that is, , where and . The APC and 95% CI for the BD prevalence grouped by maternal age and infants’ sex were calculated based on the Joinpoint regression modeling using Joinpoint software, version 4.5 (US National Cancer Institute), to quantify the time trends. Line charts were constructed to graphically display the trends in BD prevalence rates by sex and maternal age groups. The distributions of epidemiological and delivery characteristics were compared between the BD group and the non-BD group using simple logistic regression. The dependent variable of logistic regression analysis was whether a perinatal infant had BDs (no/yes). Multivariable logistic regression analysis was used to calculate aORs (adjusted odds ratios) and 95% CI. Only variables identified as significantly associated with the dependent variable at in the simple logistic regression analyses were included in the model. All analyses were conducted using SPSS version 22 (IBM Corp., Armonk, NY, USA). All statistical tests were two-sided, and values less than 0.05 were considered statistically significant.

3. Results

Table 1 presents the number of PIs, BDs, and BD prevalence rates per 10,000 PIs (95% CI) by sex for the two study areas for the 5-year observational period. We observed 2423 BDs among 112,814 PIs. There were 2124 BDs among 96,307 PIs, and the BD prevalence (95% CI) was 220.54 (95% CI: 211.26-230.13) in Liuyang. There were 2124 BDs among 96,307 PIs in Liuyang, and there were 299 BDs among 16,507 PIs in Shifeng. The BD prevalence (95% CI) was 181.14 (95% CI: 161.18-202.87) in Shifeng. The prevalence among male PIs was higher than that among female PIs.

(a)

RuralFemale-Liuyang countyMale-Liuyang countyTotal-Liuyang county
YearPIs ()BDs ()Prevalence rates (per 10,000 PIs) (95% CI)PIs ()BDs ()Prevalence rates (per 10,000 PIs) (95% CI)PIs ()BDs ()Prevalence rates (per 10,000 PIs) (95% CI)

20149126237259.7 (227.68-294.95)10,124353348.68 (313.25-387.02)19,250590306.49 (282.26-332.25)
20159235189204.66 (176.52-236.00)10,169252247.81 (218.16-280.37)19,404441227.27 (206.55-249.51)
20169928113113.82 (93.80-136.84)10,996230209.17 (183.00-238.02)20,924343163.93 (147.04-182.23)
20179474136143.55 (120.44-169.80)10,735278258.97 (229.42-291.27)20,209414204.86 (185.60-225.58)
2018780396123.03 (99.65-150.24)8717240275.32 (241.59-312.45)16,520336203.39 (182.22-226.34)
Total45,566771169.21 (157.47-181.58)50,7411353266.65 (252.63-281.24)96,3072124220.54 (211.26-230.13)

(b)

UrbanFemale-Shifeng districtMale-Shifeng districtTotal-Shifeng district
YearPIs ()BDs ()Prevalence rates (per 10,000 PIs) (95% CI)PIs ()BDs ()Prevalence rates (per 10,000 PIs) (95% CI)PIs ()BDs ()Prevalence rates (per 10,000 PIs) (95% CI)

2014166931185.74 (126.20-263.64)180751282.24 (210.14-371.09)347682235.90 (187.62-292.82)
2015156832204.08 (139.59-288.10)166538228.23 (161.51-313.26)323370216.52 (168.79-273.56)
2016163625152.81 (98.89-225.58)173736207.25 (145.16-286.93)337361180.85 (138.33-232.31)
2017167024143.71 (92.08-213.83)179819105.67 (63.62-165.02)346843123.99 (89.73-167.01)
2018147320135.78 (82.94-209.70)148423154.99 (98.25-232.56)295743145.42 (105.24-195.88)
Total8016132164.67 (137.78-195.28)8491167196.68 (167.98-228.87)16,507299181.14 (161.18-202.87)

aPIs: perinatal infants; BDs: birth defects; CI: confidence intervals. Population birth defect prevalence rates expressed per 10,000 PIs.

Table 2 presents the number of PIs, BDs, and BD prevalence rates in the study areas by maternal age groups. Except for the mothers aged <40 years, the prevalence of the other age groups in Liuyang was higher than that in Shifeng. Mothers aged ≥40 years in Liuyang (352.82 per 10,000 PIs, 95% CI: 273.43-448.07) and 35–39 years in Shifeng (212.37 per 10,000 PIs, 95% CI: 147.07-296.76) had the highest prevalence of BDs among the maternal age groups. The time trends of BD prevalence rates by sex and maternal age groups in Liuyang and Shifeng from 2014 to 2018 are depicted in Figure 3. Although the overall prevalence rates in Liuyang decreased over the study period from 306.49 to 203.39 per 10,000 PIs, the annual percentage change (APC) did not show statistical significance (, ) (Table 3). However, we observed significant decreasing BD trends in the following: mothers aged 30–34 years in Liuyang (, ), female PIs in Shifeng (, ), mothers aged 30–34 years in Shifeng (, ), and the total time trend for Shifeng (, ).

(a)

Rural≤24-Liuyang county25-29-Liuyang county30-34-Liuyang county35-39-Liuyang county≥40-Liuyang county
YearPIs ()BDs ()95% CI prevalence rates (per 10,000 PIs)PIs ()BDs ()95% CI prevalence rates (per 10,000 PIs)PIs ()BDs ()95% CI prevalence rates (per 10,000 PIs)PIs ()BDs ()95% CI prevalence rates (per 10,000 PIs)PIs ()BDs()95% CI prevalence rates (per 10,000 PIs)

20145791109188.22 (154.55-227.05)8744254290.48 (255.86-328.49)3408114334.51 (275.93-401.85)104936343.18 (240.36-475.11)25810387.60 (185.87-712.80)
2015440356127.19 (96.07-165.16)9449197208.49 (180.39-239.72)399091228.07 (183.63-280.02)124725200.48 (129.74-295.95)31518571.43 (338.66-903.10)
2016330343130.18 (94.22-175.36)10,281161156.60 (133.34-182.74)529885160.44 (128.15-198.38)163230183.82 (124.03-262.42)41015365.85 (204.77-603.42)
2017282948169.67 (125.10-224.96)8881185208.31 (179.37-240.59)5805100172.27 (140.16-209.52)220169313.49 (243.92-396.75)49310202.84 (97.27-373.03)
201824421457.33 (31.34-96.19)6836152222.35 (188.41-260.64)502376151.30 (119.21-189.38)179645250.56 (182.76-335.26)42314330.97 (180.94-555.31)
Total18,768270143.86 (127.21-162.09)44,191949214.75 (201.30-228.86)23,524466198.10 (180.52-216.92)7925205258.68 (224.48-296.61)189967352.82 (273.43-448.07)

(b)

Urban≤24-Shifeng district25-29-Shifeng district30-34-Shifeng district35-39-Shifeng district≥40-Shifeng district
YearPIs ()BDs ()Prevalence rates (per 10,000 PIs) (95% CI)PIs ()BDs ()Prevalence rates (per 10,000 PIs) (95% CI)PIs ()BDs ()Prevalence rates (per 10,000 PIs) (95% CI)PIs ()BDs ()Prevalence rates (per 10,000 PIs) (95% CI)PIs ()BDs ()Prevalence rates (per 10,000 PIs) (95% CI)

201463412189.27 (97.80-330.62)181945247.39 (180.45-331.03)78321268.20 (166.02-409.97)1913157.07 (32.39-459.02)491204.08 (5.17-1137.07)
201544711246.09 (122.84-440.31)165931186.86 (126.96-265.23)84321249.11 (154.20-380.79)2325215.52 (69.98-502.95)522384.62 (46.58-1389.36)
20163277214.07 (86.07-441.06)167229173.44 (116.15-249.10)92318195.02 (115.58-308.21)3647192.31 (77.32-396.23)8700.00 (0.00-424.01)
2017341258.65 (7.10-211.87)14281284.03 (43.42-146.79)114817148.08 (86.26-237.10)44710223.71 (107.28-411.42)1042192.31 (23.29-694.68)
2018292268.49 (8.29-247.42)115418155.98 (92.44-246.51)105712113.53 (58.66-198.31)3679245.23 (112.14-465.53)872229.89 (27.84-830.42)
Total204134166.59 (115.37-232.79)7732135174.60 (146.39-206.66)475489187.21 (150.35-230.38)160134212.37 (147.07-296.76)3797184.70 (74.26-380.55)

aPIs: perinatal infants; BDs: birth defects; CI: confidence intervals. Population birth defect prevalence rates expressed per 10,000 PIs.

Gender and age groups among areas20142018PC (%)APC (%) value95% CI
BDs ()Prevalence ratesBDs ()Prevalence ratesLimitUp

Liuyang-female237259.7096123.03-111.09-16.880.079-33.634.10
Liuyang-male353348.68240275.32-26.65-4.190.546-21.6217.11
Liuyang-total590306.49336203.39-50.69-8.830.243-25.5811.70
Liuyang-≤24 years109188.221457.33-228.31-18.860.181-44.6618.98
Liuyang-25-29 years254290.48152222.35-30.64-5.210.522-25.1420.02
Liuyang-30-34 years114334.5176151.30-121.09-17.030.037-29.74-2.03
Liuyang-35-39 years36343.1845250.56-36.97-1.800.865-28.2434.38
Liuyang-≥40 years10387.6014330.97-17.11-12.640.311-38.6624.42
Shifeng-female31185.7420135.78-36.79-9.310.044-17.33-0.51
Shifeng-male51282.2423154.99-82.10-17.870.091-36.365.99
Shifeng-total82235.9043145.42-62.22-14.140.039-25.17-1.49
Shifeng-≤24 years12189.27268.49-176.35-29.300.098-55.5512.46
Shifeng-25-29 years45247.3918155.98-58.60-15.820.204-39.9918.10
Shifeng-30-34 years21268.2012113.53-136.24-20.060.002-25.67-14.03
Shifeng-35-39 years3157.079245.2335.959.730.063-0.9521.55
Shifeng-≥40 years1204.082229.8911.23-4.450.737-42.4958.75

aPIs: perinatal infants; BDs: birth defects; APC: annual percentage change; CI: confidence interval; PC: percentage change. Population birth defect prevalence expressed per 10,000 PIs. PC and APC between 2014 and 2018 calculated by population birth defect prevalence rates.

Detailed maternal epidemiological and delivery characteristics related to PIs with BDs and non-BDs, BD prevalence rates, and odds ratios (ORs) are presented in Table 4. The average BD prevalence rate in Liuyang was significantly higher than that in Shifeng (, 95% CI: 1.082–1.382). The average BD prevalence rate was significantly higher in male PIs than in female PIs (, 95% CI: 1.413–1.669). The average BD prevalence in mothers aged 35–39 years and ≥40 years was significantly higher than that in mothers aged 25–29 years (, 95% CI: 1.1046–1.389 and , 95% CI: 1.238–1.998, respectively). The average BD prevalence in PIs at <37 gestational weeks was significantly higher than that in PIs at 37–42 gestational weeks (, 95% CI: 4.855–5.990). The average BD prevalence rate in PIs with a birth was significantly higher than that in PIs weighing 2500–4000 g (, 95% CI: 5.273–6.553). The average BD prevalence in twin PIs was significantly higher than that in singleton PIs (, 95% CI: 1.237–1.916). Finally, the average BD prevalence in PIs whose mothers have nonlocal registration but residence with <1 year (, 95% CI: 2.105–4.426) and ≥1 year (, 95% CI: 2.824–5.055) was significantly higher than that in PIs whose mothers have local registration.


FactorsClassificationNon-BDs ()BDs ()Prevalence rates of BDs (per 10,000 PIs) (95% CI)OR (95% CI)

AreaShifeng district16,22829918.092 (16.059-20.124)Ref
Liuyang county94,274212422.034 (21.107-22.960)1.223 (1.082-1.382)0.001
EthnicityHan110,012240621.402 (20.556-22.248)Ref
The others4901733.531 (17.808-49.253)1.586 (0.976-2.577)0.062
Age groups25-29 years50,884108420.859 (19.630-22.088)Ref<0.001
≤24 years20,35347122.618 (20.599-24.638)1.086 (0.974-1.212)0.138
30-34 years27,75155519.607 (17.992-21.222)0.939 (0.847-1.041)0.231
35-39 years930523925.042 (21.907-28.177)1.206 (1.046-1.389)0.010
≥40 years22097432.413 (25.144-39.683)1.572 (1.238-1.998)<0.001
Pregnancy timesOne time38,27384621.626 (20.185-23.068)Ref0.209
Two times46,42498020.673 (19.392-21.954)0.955 (0.870-1.048)0.332
Three times25,79959722.617 (20.823-24.411)1.047 (0.942-1.164)0.397
ParityOne time46,650106922.402 (21.074-23.730)Ref0.027
Two times59,525124420.471 (19.345-21.597)0.912 (0.840-0.991)0.029
Three times432111024.825 (20.242-29.408)1.111 (0.911-1.355)0.300
GenderFemale52,71990316.840 (15.751-17.929)Ref
Male57,783152025.631 (24.359-26.903)1.536 (1.413-1.669)<0.001
Gestational weeks37-42 weeks105,773195418.138 (17.342-18.935)Ref<0.001
≤36 weeks469846890.592 (82.763-98.422)5.392 (4.855-5.990)<0.001
≥43 weeks23141.667 (-44.527-127.861)2.354 (0.318-17.436)0.420
Weight of birth2500-4000 g100,217186518.270 (17.448-19.091)Ref<0.001
<2500 g401343998.607 (89.846-107.368)5.878 (5.273-6.553)<0.001
≥4000 g626611518.022 (14.757-21.287)0.986 (0.816-1.193)0.886
BirthsSingletons107,923233721.195 (20.345-22.046)Ref
Twins25798632.270 (25.557-38.984)1.540 (1.237-1.916)<0.001
Place of birthHospital88,186211123.378 (22.393-24.364)Ref
Others22,31631213.788 (12.269-15.308)0.584 (0.518-0.658)<0.001
Place of domicileLocal place109,425234320.963 (20.123-21.803)Ref<0.001
Nonlocal certificate registries but residence with 1 year4593061.350 (40.006-82.694)3.052 (2.105-4.426)<0.001
Nonlocal certificate registries but residence with ≥1 year6185074.850 (54.844-94.857)3.779 (2.824-5.055)<0.001

aPIs: perinatal infants; BDs: birth defects; OR: odds ratio; CI: confidence interval; Ref: reference. Population birth defects prevalence expressed per 10,000 PIs.

Factors associated with BDs with the dependent variable of BD occurrence (yes/no) in the multiple logistic regression model are shown in Table 5. Risk factors for BDs were as follows: rural areas compared with urban areas (adjusted OR , 95% CI: 1.203–1.551), male PIs compared with female PIs (, 95% CI: 1.437–1.702), <37-gestational week PIs compared with 37–42-week PIs (, 95% CI: 2.211–3.033), <2500 g PIs compared with 2500–4000 g PIs (, 95% CI: 2.899–4.027), mothers with nonlocal certificate registries but residence with 1 year and ≥1 year compared with local certificate registries (, 95% CI: 2.284–4.912 and , 95% CI: 3.103–5.676, respectively), and mothers aged ≥40 years compared with mothers aged 25–29 years (, 95% CI: 1.032–1.682).


Factors associated with BD occurrenceS.EWalsDfaORaOR (95% CI)
LimitUp

Area of city (Ref: Shifeng district)-0.310.0723.121<0.0011.371.201.55
Gender of male (Ref: female)0.450.04107.961<0.0011.561.441.70
Pregnancy weeks (Ref: 37-42weeks)140.062<0.001
 ≤36 weeks0.950.08138.941<0.0012.592.213.03
 ≥43 weeks1.111.021.1810.2773.050.4122.68
Weight of birth (Ref: 2500-4000 g)215.772<0.001
 <2500 g1.230.08214.781<0.0013.422.904.03
 ≥4000 g-0.050.100.2810.5980.950.791.15
Multiple births (Ref: singletons)-0.780.1241.491<0.0010.460.3630.58
Birthplace of others (Ref: hospital)-0.450.0650.891<0.0010.640.570.72
Mother place of domicile (Ref: local place)121.132<0.001
 Nonlocal certificate registries but residence with 1 year1.210.2038.271<0.0013.352.284.91
 Nonlocal certificate registries but residence with ≥1 year1.430.1586.681<0.0014.203.105.68
Maternal age groups (Ref: 25-29 years)12.0040.017
 ≤24 years0.050.060.6910.4081.050.941.17
 30-34 years-0.090.052.7810.0950.920.821.02
 35-39 years0.090.071.3610.2431.090.941.26
 ≥40 years0.280.134.8910.0271.321.031.68

aS.E: standard error; aOR: adjusted odds ratio; CI: confidence interval; Ref: reference.

4. Discussion

This was the first study to describe the epidemiology of BDs based on population surveillance data from Hunan Province in China. The total BD prevalence rates in Liuyang and Shifeng from 2014 to 2018 were 220.54 and 181.14 per 10,000 PIs, respectively. These rates differed from those based on hospital surveillance data reported by our previous study that found the total prevalence rates of BDs in rural and urban areas of Hunan Province (2005–2014) to be 175.41 and 209.66 per 10,000 PIs, respectively [11]. Although Liuyang county and Shifeng district were chosen as representatives of rural and urban population monitoring areas in Hunan Province, some studies with larger simples had shown similar results to our findings based on the population study [12]. The prevalence rates of BDs were inconsistent with the conclusions of other studies in Dalian city and Henan Province of China and nationwide based on hospital surveillance data that found higher BD prevalence rates in urban areas than in rural areas [1214]. Hospital BD surveillance can ensure the accuracy of malformation diagnosis or the timeliness of obtaining information, especially the surveillance of stillbirth, while population BD surveillance with a long follow-up time covers a wide range of population including the out-of-hospital delivery cases and excluding the migrant pregnancies. Considering that the results of population BD surveillance could obtain more reliable prevalence estimates of BDs, the breadth and depth of information collected at a population level by population BD surveillance should serve as an important data source to guide public health action with the economic development [4, 15].

Greater decreases of prevalence rates were observed in the urban area (62.22%) than in the rural area (50.69%), and only prevalence rates in Shifeng showed a downward trend. The differences in these trends and rural-urban disparities in BD prevalence rates may be explained by rural women having a higher threshold for delaying consultations for a BD infant and tending to seek medical help in urban hospitals with higher diagnostic capabilities [16]. What is more, prenatal diagnosis of BDs from prenatal ultrasound, 3D ultrasound, and ultrafast magnetic resonance imaging has been widely used in urban areas in recent years, and this has increased the sensitivity of prenatal diagnosis of major or minor structural anomalies. It will definitely observe the phenomenon of the prevalence rates of BDs in the rural areas higher than that in the urban areas under the termination of pregnancies with severe congenital structural anomalies after prenatal diagnosis.

We found that in the two study areas, the total prevalence rates of BDs among male PIs (266.65 and 196.68 per 10,000 PIs) were higher than those among female PIs (169.21 and 164.67 per 10,000 PIs). Similarly, other studies reported that more male infants had BDs than female infants [14, 17]. Interactions between sex hormones and organ development might be possible causes of the sex differences found for some congenital anomalies [18]. Our study showed the highest BD prevalence rates among PIs of mothers aged ≥40 years in Liuyang and 35–39 years in Shifeng. Older maternal age is strongly associated with chromosomal BDs such as trisomies 13, 18, and 21 and nonchromosomal BDs [19].

The risk factors for BDs identified in this study were rural residents, male PIs, maternal years, multiple births, preterm births, low birth weight, nonlocal pregnancies, and delivery in hospitals. In our study, the rate of BDs in multiple births was 32.27 per 10,000 PIs versus 21.20 per 10,000 PIs in singletons. A study in China’s Zhejiang Province found the rate of BDs in multiple births to be 444.16 per 10,000 births versus 266.97 per 10,000 births in singletons using Zhejiang hospital-based BD surveillance system data for 2007–2009 [20]. The mechanisms by which multiple births increase the risk for some BDs remain unclear [21]. This phenomenon may be partly explained by delayed childbirth and consequent infertility, along with increasingly accessible and available assisted reproduction, which resulted in a rise of multiple births and a consequent increase in BDs.

This study showed that BDs were more than twice as common among preterm births (28–36 gestational weeks) and three times as common among retarded births (>42 weeks) compared with term births. Infants born preterm are considered more likely to have major BDs than term infants [22, 23]. The causes of most BDs and the mechanisms or reasons of these BDs that may contribute to preterm birth remain unknown, so prevention and research of BDs and preterm birth had been recognized as an integrated approach to carry out. We found that the prevalence of BDs in migrant pregnancies was higher than that in local pregnancies [24]. Migrant pregnancies may not have benefitted from this series of government policies and healthcare that extends from pregnancy planning to delivery. Therefore, it remains a complex task to provide BD prevention and healthcare for migrant pregnancies. This study also showed that hospital childbirth was a risk factor for BDs compared with delivery in other places. There may be some reasons for this phenomenon. First, the delivery rate in hospitals increased from 58.7% in 1996 to 99.7% in 2015 [25]. Therefore, most infants were delivered in hospitals. Second, pregnancies for which tests during pregnancy showed normal results might have chosen to deliver at home. Third, most infants with BDs were diagnosed in hospitals.

This study illustrated the epidemiological characteristics of BDs in two selected areas of Hunan Province from 2014 to 2018. Although population-based BD surveillance can effectively avoid selection bias, has a longer monitoring time, can collect more BDs diagnosed after delivery, and has a better ability to monitor genetic metabolic diseases and delayed-onset diseases, there were some limitations. First, we could not analyze factors such as smoking, alcohol consumption, socioeconomic status, medical history, prenatal care, or paternal details that may affect BDs because of the limited data collected. Second, this surveillance of BDs only considered 24 of the 110 most frequent and lethal anomalies. Therefore, some BDs might not be detected within a few days after birth, which could lead to the prevalence of BDs in this study being lower than the true prevalence. Third, population BD surveillance based on Liuyang and Shifeng cannot fully represent the whole Hunan Province. However, our report provided an epidemiological analysis of two areas in Hunan Province over 5 years, which provides information that has been heretofore limited in developing countries because of the lack of population BD surveillance. What is more, this study provided pieces of advice for preventing BD occurrence.

5. Conclusions

In summary, the prevalence of BDs in population surveillance was different from that in hospital surveillance. The risk factors for BDs identified in this study were rural residents, male PIs, maternal years, multiple births, preterm births, low birth weight, nonlocal pregnancies, and delivery in hospitals. Population-based BD surveillance should serve as an important data source to guide local public health action for the prevention and control of BDs.

Abbreviations

BDs:Birth defects
PIs:Perinatal infants
APC:Annual percentage change
WHO:World Health Organization
CI:Confidence intervals
aORs:Adjusted odds ratios.

Data Availability

The datasets used to support the findings of this study are included within the article.

Conflicts of Interest

The authors declare no competing interests.

Authors’ Contributions

XLL and CQY conceptualized the research. XDH and WAH reviewed the data. XLL analyzed the data and wrote the draft. CQY modified the manuscript. All authors read, reviewed, and approved the final manuscript. XDH and XZQ had primary responsibility for the final content. XLL and CQY were the co-first authors. XDH and XZQ were the co-corresponding authors.

Acknowledgments

We thank Liwen Bianji, Edanz Editing China (http://www.liwenbianji.cn/ac), for editing the English text of a draft of this manuscript. We wish to thank the staff who had collected and recorded the information of population birth defects in the areas of Liuyang and Shifeng. This study was supported by the grants from the Major Scientific and Technological Projects for Collaborative Prevention and Control of Birth Defects in Hunan Province, China (Grant Numbers 2019SK1010 and 2019SK1011).

References

  1. A. E. Czeizel, “Birth defects are preventable,” International Journal of Medical Sciences, vol. 2, no. 3, pp. 91-92, 2005. View at: Publisher Site | Google Scholar
  2. S. C. Taucher, “March of Dimes global report on birth defects,” Revista Médica de Chile, vol. 6, pp. 806–813, 2007. View at: Google Scholar
  3. I. Roma, International Clearinghouse for Birth Defects Monitoring Systems–annual report 2007, ICBDMS, 2007.
  4. L. Dai, J. Zhu, J. Liang, Y. P. Wang, H. Wang, and M. Mao, “Birth defects surveillance in China,” World journal of pediatrics: WJP, vol. 7, no. 4, pp. 302–310, 2011. View at: Publisher Site | Google Scholar
  5. F. D. Tucker, J. K. Morris, A. Neville et al. et al., “EUROCAT: an update on its functions and activities,” Journal of Community Genetics, vol. 9, no. 4, pp. 407–410, 2018. View at: Publisher Site | Google Scholar
  6. P. A. Boyd, M. Haeusler, I. Barisic, M. Loane, E. Garne, and H. Dolk, “Paper 1: the EUROCAT network--organization and processes,” Birth defects research Part A, Clinical and molecular teratology, vol. 91, Suppl 1, pp. S2–15, 2011. View at: Publisher Site | Google Scholar
  7. P. J. Lupo, J. L. Isenburg, J. L. Salemi et al., “Population-based birth defects data in the United States, 2010-2014: a focus on gastrointestinal defects,” Birth defects research, vol. 109, no. 18, pp. 1504–1514, 2017. View at: Publisher Site | Google Scholar
  8. E. E. Castilla and I. M. Orioli, “ECLAMC: the Latin-American collaborative study of congenital malformations,” Community Genetics, vol. 7, no. 2-3, pp. 76–94, 2004. View at: Publisher Site | Google Scholar
  9. J. H. Yang, Y. J. Kim, J. H. Chung et al., “A multi-center study for birth defect monitoring systems in Korea,” Journal of Korean Medical Science, vol. 19, no. 4, pp. 509–513, 2004. View at: Publisher Site | Google Scholar
  10. C. MoHo, China Health Statistics 2010, Peking Union Medical College Press, Beijing, 2010.
  11. D. Xie, T. Yang, Z. Liu, and H. Wang, “Epidemiology of birth defects based on a birth defect surveillance system from 2005 to 2014 in Hunan Province, China,” PLoS One, vol. 11, no. 1, article e0147280, 2016. View at: Publisher Site | Google Scholar
  12. X. Lei, S. Lihuan, W. Xingling et al., “Changes in the incidence of congenital anomalies in Henan Province, China, from 1997 to 2011,” PLoS One, vol. 10, no. 7, article e0131874, 2015. View at: Publisher Site | Google Scholar
  13. Q. G. Liu, J. Sun, X. W. Xiao, and G. R. Song, “Birth defects data from surveillance hospitals in Dalian city, China, 2006-2010,” The journal of maternal-fetal & neonatal medicine: the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstet, vol. 29, no. 22, pp. 3615–3621, 2016. View at: Google Scholar
  14. M. Taye, M. Afework, W. Fantaye, E. Diro, and A. Worku, “Magnitude of birth defects in central and northwest Ethiopia from 2010-2014: a descriptive retrospective study,” PLoS One, vol. 11, no. 10, article e0161998, 2016. View at: Publisher Site | Google Scholar
  15. C. T. Mai, R. S. Kirby, A. Correa, D. Rosenberg, and M. C. Fagen, “Public health practice of population-based birth defects surveillance programs in the United States,” Journal of Public Health Management and Practice, vol. 22, no. 3, pp. E1–E8, 2015. View at: Publisher Site | Google Scholar
  16. X. Zhang, “Prevalence of birth defects and risk-factor analysis from a population-based survey in Inner Mongolia, China,” BMC Pediatrics, vol. 12, no. 1, p. 125, 2012. View at: Publisher Site | Google Scholar
  17. M. Taye, M. Afework, W. Fantaye, E. Diro, and A. Worku, “Factors associated with congenital anomalies in Addis Ababa and the Amhara Region, Ethiopia: a case-control study,” BMC Pediatrics, vol. 18, no. 1, p. 142, 2018. View at: Publisher Site | Google Scholar
  18. A. T. Fahim and S. P. Daiger, “The role of X-chromosome inactivation in retinal development and disease,” Oxygen Transport to Tissue XXXIII, vol. 854, pp. 325–331, 2016. View at: Google Scholar
  19. S. K. Gill, B. Cheryl, D. Owen, G. Ridgely Fisk, S. A. Rasmussen, and R. Jennita, “Association between maternal age and birth defects of unknown etiology: United States, 1997-2007,” Birth Defects Research Part A Clinical & Molecular Teratology, vol. 94, no. 12, pp. 1010–1018, 2012. View at: Publisher Site | Google Scholar
  20. Z. Xiao-Hui, Q. Li-Qian, and H. Jiang-Ping, “Risk of birth defects increased in multiple births,” Birth Defects Research Part A Clinical & Molecular Teratology, vol. 91, no. 1, pp. 34–38, 2011. View at: Publisher Site | Google Scholar
  21. Y. Tang, C. X. Ma, W. Cui et al., “The risk of birth defects in multiple births: a population-based study,” Maternal & Child Health Journal, vol. 10, no. 1, pp. 75–81, 2006. View at: Publisher Site | Google Scholar
  22. Q. M. Zhao, F. Liu, L. Wu, X. J. Ma, C. Niu, and G. Y. Huang, “Prevalence of congenital heart disease at live birth in China,” The Journal of Pediatrics, vol. 204, pp. 53–58, 2019. View at: Publisher Site | Google Scholar
  23. L.-J. Chen, J.-Y. Chiou, J.-Y. Huang, P.-H. Su, and J.-Y. Chen, “Birth defects in Taiwan: a 10-year nationwide population-based, cohort study,” Journal of the Formosan Medical Association, vol. 119, no. 1, pp. 553–559, 2020. View at: Publisher Site | Google Scholar
  24. Z. Tang, H. Zhang, H. Bai et al., “Residential mobility during pregnancy in Urban Gansu, China,” Health & Place, vol. 53, pp. 258–263, 2018. View at: Publisher Site | Google Scholar
  25. Y. Zhang, Y. B. Zhou, H. T. Li et al., “Secular trends of institutional delivery rate in China from 1996 to 2015,” Zhonghua Yi Xue Za Zhi, vol. 97, 2017. View at: Google Scholar

Copyright © 2021 Lili Xiong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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