| Literature DB >> 36167382 |
Hang An1,2, Ming Jin1,2, Zhiwen Li1,2, Le Zhang1, Hongtian Li2,3, Yali Zhang1, Rongwei Ye4,2, Nan Li4,2.
Abstract
OBJECTIVE: To investigate the impact of gestational hypertension and pre-eclampsia on preterm birth.Entities:
Keywords: EPIDEMIOLOGY; Fetal medicine; Hypertension; OBSTETRICS; Prenatal diagnosis
Mesh:
Year: 2022 PMID: 36167382 PMCID: PMC9516080 DOI: 10.1136/bmjopen-2021-058068
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 3.006
Figure 1Flow chart of participants.
Characteristics of women enrolled in the pregnancy-monitoring system by gestational hypertension status; China, 1993–1996
| Characteristics | Gestational hypertension group (n=19 115) | Non-gestational hypertension group (n=180 988) | P value | ||
| n* | % | n* | % | ||
| Age at pregnancy, | 25.04 (3.34) | 24.86 (3.21) | <0.001 | ||
| Body mass index at first visit (kg/m2, mean (SD)) | 20.77 (2.25) | 20.50 (2.09) | <0.001 | ||
| Primiparous | 16 277 | 85.15 | 149 967 | 82.86 | <0.001 |
| Han ethnicity | 18 977 | 99.28 | 179 670 | 99.27 | 0.923 |
| Folic acid use | 10 245 | 53.60 | 94 874 | 52.42 | 0.002 |
| Education level | 0.123 | ||||
| High school or higher | 2014 | 10.54 | 20 045 | 11.08 | |
| Junior high school | 11 380 | 59.53 | 107 253 | 59.26 | |
| Primary school or lower | 5672 | 29.67 | 53 175 | 29.38 | |
| Unknown | 49 | 0.26 | 515 | 0.28 | |
| Occupation | <0.001 | ||||
| 10 930 | 57.18 | 106 992 | 59.12 | ||
| 5409 | 28.30 | 49 257 | 27.22 | ||
| 2754 | 14.41 | 24 480 | 13.53 | ||
| Unknown | 22 | 0.12 | 259 | 0.14 | |
*Values for certain characteristics may be lower than the total numbers of subjects with or without gestational hypertension because some data were missing.
†Other includes businessman, teacher, day labourer and civil servant.
Incidences and crude RRs of preterm birth by gestational hypertension and pre-eclampsia status, and other characteristics; China, 1993–1996
| Characteristic | No | Preterm birth | ||
| Incidence (%) | RR | 95% CI | ||
| Age (years) | ||||
| <20 | 896 | 10.6 | 1.92 | 1.55 to 2.38 |
| ≥20–<25 | 115 124 | 5.81 | 1 | — |
| ≥25–<30 | 59 960 | 5 | 0.85 | 0.82 to 0.89 |
| ≥30 | 24 123 | 4.9 | 0.84 | 0.78 to 0.89 |
| Body mass index (kg/m2) | ||||
| <18.5 | 28 576 | 5.54 | 1.01 | 0.96 to 1.07 |
| ≥18.5–<24 | 159 985 | 5.47 | 1 | — |
| ≥24–<28 | 10 610 | 5.45 | 1 | 0.91 to 1.09 |
| ≥28 | 932 | 6.33 | 1.17 | 0.90 to 1.52 |
| Education level | ||||
| High school or higher | 22 059 | 4.71 | 1 | — |
| Junior high school | 118 633 | 5.41 | 1.16 | 1.08 to 1.24 |
| Primary school or lower | 58 847 | 5.91 | 1.27 | 1.18 to 1.36 |
| Unknown | 564 | 5.85 | 1.26 | 0.88 to 1.80 |
| Occupation | ||||
| Farmer | 117 922 | 5.6 | 1 | — |
| Factory worker | 54 666 | 5.54 | 0.99 | 0.95 to 1.03 |
| Other* | 27 234 | 4.89 | 0.87 | 0.82 to 0.92 |
| Unknown | 281 | 2.49 | 0.43 | 0.20 to 0.91 |
| Parity | ||||
| Multiparous | 33 859 | 5.64 | 1 | — |
| Primiparous | 166 244 | 5.45 | 0.96 | 0.92 to 1.01 |
| Ethnicity | ||||
| Han | 198 647 | 5.48 | 1 | — |
| Other | 1456 | 6.46 | 1.19 | 0.97 to 1.47 |
| Folic acid use | ||||
| No | 94 984 | 5.9 | 1 | — |
| Yes | 105 119 | 5.1 | 0.86 | 0.82 to 0.89 |
| Gestational hypertension | ||||
| No | 180 988 | 5.47 | 1 | — |
| Yes | 19 115 | 5.63 | 1.03 | 0.97 to 1.10 |
| Pre-eclampsia | ||||
| No | 195 191 | 5.44 | 1 | — |
| Yes | 4912 | 7.33 | 1.38 | 1.23 to 1.53 |
*Other includes businessman, teacher, day labourer and civil servant.
RRs, risk ratios.
Associations between gestational hypertension and pre-eclampsia and preterm birth as revealed by multivariate logistic regression; China, 1993–1996
| Preterm birth | ||
| Risk factor | Adjusted RR | 95% CI |
| Age (continuous) | 1.04 | 1.03 to 1.05 |
| Factory worker | 1.00 | 0.96 to 1.05 |
| Other* | 0.93 | 0.87 to 1.00 |
| Unknown occupation | 0.40 | 0.19 to 0.87 |
| Junior high school | 1.10 | 1.02 to 1.18 |
| Primary school or lower | 1.22 | 1.13 to 1.32 |
| Unknown education | 1.38 | 0.95 to 1.99 |
| Folic acid use | 0.83 | 0.80 to 0.86 |
| Gestational hypertension | ||
| No | 1 | — |
| Yes | 1.04 | 0.98 to 1.11 |
| Pre-eclampsia | ||
| No | 1 | — |
| Yes | 1.39 | 1.25 to 1.55 |
*Other includes businessman, teacher, day labourer and civil servant.
RR, risk ratio.
Associations between early-onset and late-onset gestational hypertension and pre-eclampsia and the risk of preterm birth
| Onset period | Preterm birth | |||
| No | Incidence (%) | Crude RR (95% CI) | Adjusted RR (95% CI)* | |
| Gestational hypertension | ||||
| None† | 180 988 | 5.47 | 1 | 1 |
| Early-onset | 849 | 10.72 | 2.08 (1.67 to 2.58) | 2.13 (1.71 to 2.65) |
| Late-onset | 18 266 | 5.40 | 0.99 (0.92 to 1.06) | 1.00 (0.94 to 1.07) |
| Pre-eclampsia | ||||
| None† | 195 191 | 5.44 | 1 | 1 |
| Early-onset | 104 | 31.73 | 8.09 (5.35 to 12.23) | 8.47 (5.59 to 12.80) |
| Late-onset | 4808 | 6.80 | 1.27 (1.13 to 1.42) | 1.30 (1.16 to 1.46) |
*Adjusted for maternal age (continuous), BMI (continuous), education level, occupation, ethnicity, parity and folic acid use.
†Reference group.
BMI, body mass index; RR, risk ratio.