Skip to main content
BMC Public Health logoLink to BMC Public Health
. 2024 Jun 28;24:1736. doi: 10.1186/s12889-024-18791-5

Relationship between first trimester physical activity and premature rupture of membranes: a birth cohort study in Chinese women

Chuanzhu Lv 1,2,#, Qian Lu 3,#, Caihong Zhang 4, Shijiao Yan 3, Huanjun Chen 3, Xiong-Fei Pan 5,6,7,8, Chao Fu 9,, Rixing Wang 9,, Xingyue Song 9,
PMCID: PMC11214697  PMID: 38944666

Abstract

Objective

This study aimed to examine prospective associations of different intensity levels and types of physical activity (PA) in early pregnancy with premature rupture of membranes (PROM) among Chinese pregnant women.

Methods

A total of 6284 pregnant women were included from the Tongji-Shuangliu Birth Cohort. Household/caregiving, occupational, sports/exercise and transportation activities during early pregnancy were investigated by the pregnancy physical activity questionnaire (PPAQ), and the diagnosis of PROM was ascertained during the whole pregnancy. Multivariate logistic regression models were used to estimate the odds ratios (ORs) and 95% confidence interval (CI) for the associations between PA and PROM.

Results

Among the 6284 pregnant women, 1246 were identified to have PROM (19.8%). Women undertaking the highest level (3 third tertile) of PA during pregnancy appeared to have a lower risk of PROM [OR = 0.68, 95%CI 0.58–0.80) when compared to those at the lowest tertile of PA. Similarly, women with increased levels of light intensity activity, moderate-vigorous intensive, household/caregiving activity and meeting exercise guidelines during pregnancy were associated with reduced risks of PROM (OR = 0.69, 95% CI 0.59–0.81, OR = 0.70, 95% CI 0.60–0.82, OR = 0.62, 95% CI 0.53–0.73 and OR = 0.82, 95% CI 0.70–0.97, respectively).

Conclusions

High levels of PA of different intensities and PA of household/caregiving activities and meeting exercise guidelines during the first trimester were associated with a lower incidence of PROM.

Trial registration

The data of human participants in this study were conducted in accordance with the Helsinki Declaration. This study has been approved by the Ethics Committee of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China ([2017] No. S225). All participants provided written informed consent prior to enrollment. A statement to confirm that all methods were carried out in accordance with relevant guidelines and regulations.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-024-18791-5.

Keywords: Physical activity, Premature rupture of membranes, Pregnant women, Pregnancy, Cohort study

Introduction

Premature rupture of membranes (PROM) refers to the spontaneous rupture of fetal membranes before the onset of labor. It can be divided into preterm premature rupture of membranes (PPROM) and term premature rupture of membranes (TPROM) [1, 2]. The incidence of PROM in all deliveries is about 5-10% worldwide [3, 4], and 12.07% in China [5]. The incidence of TPROM is about 8% [6], while PPROM occurs in 2.0 to 3.5% of pregnant women [4]. PROM is the greatest risk factor for the fetus preterm birth complications respiratory distress, neurodevelopmental disorders, neonatal white matter damage and death [1, 7, 8].

The etiology of PPROM is multifactorial and its pathophysiology and pathogenesis have not been fully elucidated. Studies have shown that PROM is a membrane disorder, and pregnancy increases oxidative stress (OS), leading to systemic inflammation and the production of reactive oxygen species (ROS) [9]. Inflammation and OS are inseparable, which together induce membrane weakening, aging and damage [1013].

In recent years, guidelines around the world have recommended that pregnant women with no contraindications perform Physical Activity (PA) throughout pregnancy and postpartum, mainly through moderate-intensity aerobic and resistance training activities of no less than 150 min per week, which can also be yoga or stretching or pelvic floor muscle training. Research shows that moderate PA can reduce the risk of pregnancy weight gain, gestational diabetes (GDM), preeclampsia (PE), postpartum depression, and cesarean Sects. [1419].Meanwhile, PA can be used as a preventive or therapeutic measure, with benefits for the mother, fetus and newborn. Studies have shown that regular moderate and low-intensity aerobic exercise can reduce or eliminate OS [20, 21].

At present, most studies on PROM focus on its clinical characteristics, complications, influencing factors and treatment decisions [2224]. Previous studies have shown that PA during pregnancy is essential for maternal and infant health [2527], and that moderate to low intensity PA during pregnancy can reduce the risk of PROM [28]; however, some other studies have failed to find a significant association [29]. At present, there are few studies on the relationship between physical activity during pregnancy and premature rupture of membranes in China. Therefore, we conducted a prospective cohort study to investigate the relationship between PA levels, intensity and PROM in early pregnancy in Chinese pregnant women.

Materials and methods

Design and population/study design and participants

Data were obtained from the Tongji-Shuangliu Birth Cohort (TSBC). Detailed study design and procedures have been previously reported [30]. Pregnant women who had their first antenatal visit at the hospital were invited to participate in our research project. Included in our research project if the following criteria are met: (1) Pregnant women aged 18–40 years and carrying a singleton; (2) gestational age ≤ 15 weeks. Women with the following conditions were excluded: (1) Pregnant women have received assisted reproductive technology (such as in vitro fertilization or intrauterine fertilization); (2) Pregnant women have serious chronic diseases or infectious diseases (such as cancer, AIDS or tuberculosis); (3) Pregnant women are unable to fill out the questionnaire or refuse to sign Informed consent [30].

Baseline recruitment began in 2017 and ended in 2020, and a total of 7,281 pregnant women were enrolled in our study during the early stages of pregnancy. we excluded women with the following conditions: 2 women had inconsistent age information, 8 women with missing data on educational level, and 987 women were given birth outside the hospital. In the end, 6284 women with complete data were included in the analyses. This study was approved by the Ethics Committee of Tongji Medical College, Huazhong University of Science and Technology (Wuhan, China). ALL participants provided written informed consent at the time of first recruitment.

Physical activity assessments

PA was assessed using the Chinese version of the Pregnancy Physical Activity Questionnaire (PPAQ) at baseline. The Chinese version of the PPAQ showed good reliability and validity in Chinese pregnant women [31]. The PPAQ contained a total of 32 activities, including household/caregiving activities (13 activities), occupational activities (5 activities), sports/exercise (8 activities), transportation (3 activities), and inactivity (3 activities) [31, 32]. These activities can be divided into sedentary activities (≤ 1.5MET), light activities (1.5-2.9MET), moderate activities (3.0-6.0MET), and vigorous activities (> 6.0MET) [31, 32]. The energy expenditure of sedentary activities is not used to calculate total PA. In addition, the average weekly total energy expenditure (MET-h/week) can be calculated by multiplying the time spent on each activity by the corresponding intensity of each activity. Determine the activity intensity according to the Program of Physical Activity [33].

The PA estimates of different intensities and different categories were divided into tertiles, and the first tertile was used as the reference group. As few pregnant women engaged in vigorous intensity PA, moderate intensity PA and vigorous intensity PA were combined into the moderate-vigorous physical activity (MVPA) group.

WHO guidelines on physical activity recommend that pregnant women with no contraindications to exercise do at least 150 min of moderate-intensity aerobic exercise per week. Therefore, if participants spent more than 7.5 h per week on moderate to vigorous intensity sports/exercise, the guidelines were met, so we classified PA as " yes " or " no “ [19].

PROM assessments

PROM is rupture of membranes before the onset of labor. Membrane rupture before labor and before 37 weeks of gestation is referred to as preterm PROM. PROM was diagnosed based on the pregnant woman’s medical history and physical examination. The diagnosis of premature rupture of membranes is usually through the flow of amniotic fluid from the cervical canal and into the vagina, and then through the detection of the pH value of the vaginal fluid to diagnose [34]. The normal pH of vaginal secretions is generally 4.5-6.0, while amniotic fluid is usually pH 7.1–7.3 [34].

Assessments of covariates

Participants were invited to participate in baseline interviews to complete structured questionnaires about their lifestyle information, including sociodemographic information, PA, smoking, marital and reproductive history, and past medical history. Interviews were conducted by trained professional investigators through face-to-face interviews to minimize potential language and literacy barriers. Pre-pregnancy weight was self-reported by pregnant women, and pre-pregnancy BMI (kg/m2) was calculated by dividing weight (kg) by height (m) squared. Pre-pregnancy BMI was divided into 4 categories according to the Chinese standards: underweight (< 18.5 kg/m2), normal weight (18.5–23.9 kg/m2), overweight (24.0–27.9 kg/m2), and obese (≥ 28.0 kg/m2) [35].

Statistical analyses

Baseline characteristics were presented as mean (standard deviation) for continuous variables, and N (%) for categorical variables. The chi-square test was used to compare the differences of general characteristics between PROM and non-PROM pregnant women. Chi-square test and Wilcoxon rank sum test were used to compare the energy expenditure of different intensity and different types of PA between PROM and Non-PROM pregnant women. Multivariable logistic regression analysis was used to determine the association between PA and PROM. By referring to the relevant literature, we adjusted for potential confounders in sequential steps [3644]. Model 1 is unadjusted. Model 2 adjusted for maternal age (continuous), occupations (farmers, workers, service worker, office and technical staff, housewife or unemployed), education level (senior high school or below, above senior high school), smoking status (never, ever, current), yearly income (<50,000, ≥ 50,000), pre-pregnancy BMI (continuous), GDM during pregnancy, HDP during pregnancy, vaginitis before pregnancy. Model 3 additionally adjusted for infant sex (male, female) and gestational weeks (continuous).

Stratified analyses were performed according to GDM during pregnancy, HDP during pregnancy and vaginitis before pregnancy. Tests for interaction were conducted by adding interaction terms of the research variable and the stratifying variable in the final model. SPSS 25.0 software was used for all analyses, with two-sided P values of 0.05 as the significance level.

Results

Baseline characteristics of study participants

Among 6284 pregnant women with complete data included in the analyses, 1246 (19.8) incident case of PROM were identified. Mean age was 26.6 years (standard deviation, 3.7 years), mean pre-pregnancy BMI was 21.0 kg/m2 (standard deviation, 3.0 kg/m2), and mean gestational age was 38.9 weeks (standard deviation,1.2 weeks). Compared with their counterparts, women who developed PROM were more likely to be younger, have a shorter gestational weeks BMI and more likely to have vaginitis during pregnancy (Table 1).

Table 1.

Characteristics of study participants by premature rupture of membranes

Characteristic Total PROM Non-PROM P value
Maternal age, years 26.6 (3.7) 26.3 (3.5) 26.6 (3.7) 0.001
Gestational weeks 38.9 (1.2) 38.5 (1.3) 39.0(1.1) 0.000
Infant sex, n (%) 0.226
 Male 3222 (51.3) 658 (52.8) 2564 (50.9)
 Female 3062 (48.7) 588 (47.2) 2474 (49.1)
Occupations 0.388
 Farmers 24 (0.4) 3 (0.2) 21 (0.4)
 Workers 88 (1.4) 16 (1.3) 72 (1.4)
 Service worker 745 (11.9) 139 (11.2) 606 (12.0)
 Office and technical staff 2095 (33.3) 442 (35.5) 1653 (32.8)
 Housewife/unemployed 3332 (53.0) 646 (51.8) 2686 (53.3)
Education level, n (%) 0.071
 Senior high school or below 3662 (58.3) 698 (56.0) 2964 (58.8)
 Above senior high school 2622 (41.7) 548 (44.0) 2074 (41.2)
Smoking status, n (%) 0.276
 Current 109 (1.7) 18 (1.4) 91 (1.8)
 Former 306 (4.9) 70 (5.6) 236 (4.7)
 Never 5869 (93.4) 1158 (92.9) 4711 (93.5)
Yearly income, yuan 0.072
 <50,000 2719 (43.3) 511 (41.0) 2208 (43.8)
 ≥ 50,000 3565 (56.7) 735 (59.0) 2830 (56.2)
Pre-pregnancy BMI, kg/m2 21.0 (3.0) 20.8 (2.9) 21.0 (3.0) 0.646
GDM 0.279
 No 5825 (92.7) 1164 (93.4) 4660 (92.5)
 Yes 459 (7.3) 82 (6.6) 378 (7.5)
HDP 0.545
 No 6142 (97.7) 1215 (97.5) 4927 (97.8)
 Yes 142 (2.3) 31 (2.5) 111 (2.2)
Vaginitis 0.023
 No 5332 (84.9) 1083 (86.9) 4249 (84.3)
 Yes 952 (15.1) 163 (13.1) 789 (15.7)

Note Data are shown as mean (SD) for continuous variables, and N (%) for categorical variables

Abbreviations PROM, premature rupture of membranes; BMI, body mass index; GDM, gestational diabetes mellitus; HDP, hypertensive disorders of pregnancy

Energy expenditure of PA in pregnant women with PROM and PPROM

The physical activity levels of the study participants are presented in Table 2. The median total weekly energy expenditure of 6284 pregnant women was 119.5 MET-h/week. Type of activity is mainly sedentary and light PA, and pregnant women expended the most energy during household/caregiving activities. There was no difference between the two groups in the level of total PA and all types of PA.

Table 2.

Physical activity during pregnancy by PROM

Physical activity
(MET-h/week)
Total (n = 6284) Non-PROM (n = 5038) PROM (n = 1246)
Total physical activity 119.5 (72.6-173.4) 118.9 (72.5-173.7) 121.2 (74.0-172.0)
By intensity
 Sedentary 34.0 (17.5–79.6) 34.1 (17.5–78.8) 33.8 (17.5–80.9)
 Light 38.7 (21.0-66.3) 38.7 (20.7–66.3) 39.7 (21.5–66.3)
 Moderate-Vigorous 23.7 (10.1–46.7) 23.5 (10.1–46.7) 25.2 (11.0-46.8)
By domain
 Household/caregiving 27.4 (12.1–56.4) 27.8 (11.9–56.4) 26.1 (12.1–56.6)
 Occupational 0 (0-71.1) 0 (0-70.1) 0 (0-71.1)
 Sports/exercise 4.2 (0.8–9.6) 3.8 (0.8–9.60) 4.4 (1.5–9.6)
 Transportation 14.0 (7.0-26.3) 14.0 (7.0-26.3) 15.8 (7.0–28.0)

Note Data are shown as median (IQR) for continuous variables

Abbreviations IQR, interquartile range; PROM, premature rupture of membranes; MET, metabolic equivalent. Differences between groups were assessed using Mann-Whitney U test

Relationship between PA and PROM

The associations between PA in early pregnancy and PROM are presented in Table 3. Compared with the first tertile of total PA, the risk of PROM in the third tertile was reduced by 32% (OR:0.68,95%CI: 0.58–0.80) after full adjustment for covariates. In particular, the highest tertile of light PA, moderate-vigorous PA and household/caregiving PA was associated with a 31% (OR: 0.69, 95% CI: 0.59–0.81), 30% (OR: 0.70, 95% CI: 0.60–0.82) and 38% (OR: 0.62, 95% CI: 0.53–0.73) lower risk of GDM respectively, compared with the lowest tertile. Similar findings were obtained in the stratified analyses, while the magnitude of the association between PA level and PROM was significantly stronger in one stratum than the other (Appendix Tables 1, 2 and 3).

Table 3.

Odds ratios for PROM associated with the levels of PA

Physical activity
(MET-h/week)
Case(n) Model 1a Model 2b Model 3c
OR (95% CI) OR (95% CI) OR (95% CI)
Total physical activity
 1st tertile 469 1.00 1.00 1.00
 2nd tertile 440 0.99 (0.86–1.15) 0.94 (0.80–1.09) 0.93 (0.80–1.08)
 3rd tertile 337 0.78 (0.67–0.91) 0.69 (0.59–0.80) 0.68 (0.58–0.80)
Sedentary
 1st tertile 389 1.00 1.00 1.00
 2nd tertile 419 0.91 (0.78–1.06) 0.89 (0.76–1.04) 0.89 (0.76–1.05)
 3rd tertile 438 1.07 (0.92–1.25) 1.02 (0.83–1.26) 1.06 (0.86–1.31)
Light
 1st tertile 346 1.00 1.00 1.00
 2nd tertile 429 0.87 (0.75–1.01) 0.89 (0.76–1.03) 0.87 (0.75–1.01)
 3rd tertile 471 0.68 (0.58–0.79) 0.70 (0.60–0.82) 0.69 (0.59–0.81)
Moderate-Vigorous
 1st tertile 341 1.00 1.00 1.00
 2nd tertile 413 0.93 (0.80–1.08) 0.93 (0.80–1.08) 0.93 (0.80–1.09)
 3rd tertile 492 0.68 (0.59–0.80) 0.70 (0.60–0.81) 0.70 (0.60–0.82)
Household/caregiving
 1st tertile 325 1.00 1.00 1.00
 2nd tertile 408 0.83 (0.72–0.96) 0.85 (0.74–0.99) 0.84 (0.73–0.98)
 3rd tertile 513 0.60 (0.51–0.70) 0.63 (0.54–0.74) 0.62 (0.53–0.73)
Occupational
 1st tertile 678 1.00 1.00 1.00
 2nd tertile 181 1.11 (0.93–1.34) 1.20 (0.92–1.57) 1.18 (0.91–1.55)
 3rd tertile 387 1.13 (0.98–1.29) 1.21 (0.95–1.54) 1.23 (0.96–1.57)
Sports/exercise
 1st tertile 393 1.00 1.00 1.00
 2nd tertile 428 0.92 (0.79–1.06) 0.92 (0.79–1.07) 0.92 (0.79–1.07)
 3rd tertile 425 0.87 (0.75–1.02) 0.88 (0.75–1.03) 0.88 (0.76–1.03)
Transportation
 1st tertile 371 1.00 1.00 1.00
 2nd tertile 425 0.96 (0.82–1.11) 0.95 (0.82–1.10) 0.94 (0.81–1.10)
 3rd tertile 450 0.93 (0.80–1.08) 0.93 (0.80–1.09) 0.96 (0.82–1.13)
Meeting PA guidelines d
 No 390 1.00 1.00 1.00
 Yes 856 0.82 (0.70–0.97) 0.82 (0.70–0.97) 0.82 (0.70–0.97)

Abbreviation PROM, premature rupture of membranes; OR, odds ratio; CI, confidential interval

a Unadjusted odds ratio

b Adjusted for maternal age (continuous), occupations (farmers, workers, service worker, office and technical staff, housewife or unemployed), education level (senior high school or below, above senior high school), smoking status (never, ever, current), yearly income (<50,000, ≥ 50,000), pre-pregnancy BMI (continuous), GDM during pregnancy, HDP during pregnancy, vaginitis before pregnancy

c Additionally adjusted for infant sex (male, female), gestational weeks (continuous)

d Meeting WHO guidelines of ≥ 7.5 MET-h/week in sports/exercise activities of moderate-intensity or greater

Relationship between PA and PPROM

The associations between PA in early pregnancy and PPROM are presented in Table 4. Compared with the first tertile of total PA, the risk of PROM in the third tertile was reduced by 63% (OR:0.37,95%CI: 0.18–0.75) after full adjustment for covariates. In particular, the highest tertile of light PA was associated with a 54% (OR: 0.46 95% CI: 0.24–0.90) lower risk of GDM, compared with the lowest tertile.

Table 4.

Odds ratios for PPROM associated with the levels of PA

Physical activity
(MET-h/week)
Case(n) Model 1a Model 2b Model 3c
OR (95% CI) OR (95% CI) OR (95% CI)
Total physical activity
 1st tertile 41 1.00 1.00 1.00
 2nd tertile 30 0.89(0.55–1.44) 0.72 (0.45–1.17) 0.68 (0.37–1.26)
 3rd tertile 17 0.55 (0.32–0.96) 0.40 (0.22–0.71) 0.37 (0.18–0.75)
Sedentary
 1st tertile 27 1.00 1.00 1.00
 2nd tertile 31 1.15 (0.68–1.93) 1.02 (0.59–1.75) 0.65 (0.32–1.30)
 3rd tertile 30 1.13 (0.67–1.90) 0.78 (0.39–1.56) 0.85 (0.37–1.95)
Light
 1st tertile 39 1.00 1.00 1.00
 2nd tertile 27 0.68 (0.41–1.11) 0.68 (0.41–1.11) 0.56 (0.30–1.05)
 3rd tertile 22 0.56 (0.33–0.94) 0.55 (0.32–0.94) 0.46 (0.24–0.90)
Moderate-Vigorous
 1st tertile 37 1.00 1.00 1.00
 2nd tertile 30 0.91 (0.56–1.48) 0.92 (0.56–1.49) 1.09 (0.58–2.04)
 3rd tertile 21 0.60 (0.35–1.02) 0.60 (0.35–1.03) 0.68 (0.34–1.34)
Household/caregiving
 1st tertile 39 1.00 1.00 1.00
 2nd tertile 32 0.89 (0.56–1.43) 0.90 (0.56–1.45) 1.12 (0.62–2.04)
 3rd tertile 17 0.45 (0.25–0.80) 0.46 (0.26–0.83) 0.50 (0.24–1.04)
Occupational
 1st tertile 47 1.00 1.00 1.00
 2nd tertile 17 1.49 (0.85–2.60) 0.99 (0.44–2.23) 0.95 (0.34–2.59)
 3rd tertile 24 0.98 (0.60–1.61) 0.63 (0.29–1.38) 0.78 (0.30–2.01)
Sports/exercise
 1st tertile 29 1.00 1.00 1.00
 2nd tertile 36 1.15 (0.70–1.88) 1.16 (0.71–1.90) 1.01 (0.54–1.89)
 3rd tertile 23 0.77 (0.44–1.33) 0.77 (0.44–1.34) 0.64 (0.32–1.26)
Transportation
 1st tertile 31 1.00 1.00 1.00
 2nd tertile 36 1.19 (0.73–1.93) 1.15 (0.71–1.87) 1.19 (0.65–2.20)
 3rd tertile 21 0.77 (0.44–1.35) 0.83 (0.42–1.29) 0.88 (0.44–1.78)
Meeting PA guidelines d
 No 20 1.00 1.00 1.00
 Yes 68 0.66 (0.40–1.10) 0.66 (0.40–1.10) 0.55 (0.29–1.04)

Abbreviation PPROM, preterm premature rupture of membranes; OR, odds ratio; CI, confidential interval

a Unadjusted odds ratio

b Adjusted for maternal age (continuous), occupations (farmers, workers, service worker, office and technical staff, housewife or unemployed), education level (senior high school or below, above senior high school), smoking status (never, ever, current), yearly income (<50,000, ≥ 50,000), pre-pregnancy BMI (continuous), GDM during pregnancy, HDP during pregnancy, vaginitis before pregnancy

c Additionally adjusted for infant sex (male, female), gestational weeks (continuous)

d Meeting WHO guidelines of ≥ 7.5 MET-h/week in sports/exercise activities of moderate-intensity or greater

Discussion

In our prospective cohort study, the incidence of PROM and PPROM in pregnant women was 19.8% and 1.4% respectively. In this large prospective cohort study, total intensity PA, light intensity PA, and moderate-to-severe intensity PA energy expenditure were negatively associated with the risk of PROM at different levels of PA. However, PPROM was negatively correlated with total PA and light intensity PA. In addition, energy consumption in family activities was negatively correlated with the prevalence of PROM and PPROM.

The incidence of PROM in all deliveries is about 5-10% worldwide [3, 4]. In China, studies have shown that the incidence of premature rupture of membranes is 12.07% [5].Our study concluded that the incidence of PROM was higher than previous conclusions and that PPROM was lower than previous conclusions. This difference may be due to inconsistencies in the diagnosis of PROM or to individual differences in the subjects themselves. Moderate- and low-intensity PA was found to be associated with a reduced risk of PROM in another study conducted in China [28]. This is similar to our findings, where we found that both total PA and light intensity in the first trimester of pregnancy had a certain effect of reducing PROM, and the results further confirmed the benefit of PA. Although they used another questionnaire [the International Physical Activity Questionnaire (IPAQ-SF)] to investigate PA [45], the similar results we both obtained further suggests that the relationship between PA and PROM is independent of the survey tool.

Previous studies have found that vaginitis caused by infection is a risk factor for premature rupture of membranes [46, 47]. One possible reason is that infection leads to the destruction of the glial fibers of the membranes, which reduces the toughness of the membranes and increases the risk of PROM. GDM found to be associated with increased risk of PROM [47]. Due to poor blood sugar control, abdominal pressure is too large, and the lateral pressure of fetal membrane is also increased, which is easy to lead to PROM. HDP is also a predisposing factor for PROM [48].The basic pathological changes of HDP are manifested as systemic arteriolar spasm and vascular lumen stenosis, resulting in placental vascular degeneration, bleeding, infarction, etc., resulting in placenta and fetus ischemia and hypoxia, thus increasing the risk of PROM.

At present, there is a lot of evidence that adequate PA during pregnancy is beneficial to prevent adverse pregnancy outcomes [29, 49, 50]. The possible biological mechanism is that moderate PA in pregnancy can improve maternal antioxidant capacity and reduce inflammatory markers in maternal blood, which in turn reduce mitochondrial superoxide and hydrogen peroxide in placenta, and protect maternal and fetal health [51, 52]. Therefore, we speculate that insufficient PA during pregnancy may lead to the occurrence of GDM and HDP, and then lead to the occurrence of PROM, which may be related to Oxidative stress (OS). PA and exercise training during pregnancy can promote placental development, reduce pro-inflammatory markers in maternal blood, and can reduce components of the oxidative stress system in the placenta [5355].

As a result, the new WHO guidelines on physical activity and sedentary behavior in 2020 recommend that pregnant women with no contraindications regularly engage in at least 150 min of moderate-intensity aerobic exercise per week throughout pregnancy and after delivery [19]. Our findings further support this suggestion.

The advantages of this study lie in its large sample size and prospective study design. However, there are some limitations to our study. First, PA is assessed using a PPAQ instead of objective measurements. Although the Chinese version of the PPAQ has been validated in pregnant women in China, measurement errors may still exist. Second, we only evaluated PA in the first trimester and did not evaluate PA in the second and third trimesters, which may cause some errors. Third, the diet of pregnant women was not adjusted, which may be an important confounding factor. Forth, this study concluded that total intensity PA, light intensity PA, and moderate to vigorous intensity PA energy expenditure are protective factors for PROM, so it is reasonable to speculate that pregnant women with higher physical fitness are more physically active. At the same time, healthy pregnant women with high physical fitness may have fewer instances of early PROM, which requires further research. Finally, our study was conducted in one region of China, and future studies need to be conducted in different regional groups to confirm the generality of our work.

Conclusion

Elevated PA levels in early pregnancy were negatively associated with the risk of PROM. Our findings add to the benefits of PA in preventing PROM. Our study may highlight the need for pregnant women to adopt an active and healthy lifestyle to reduce the risk of PROM.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1 (34.9KB, docx)

Acknowledgements

The authors thank the study participants of the Tongji-Shuangliu Birth Cohort for their supports, and the physicians and nurses in the Shuangliu Maternal and Child Health Hospital for their collaboration in conducting this project.

Abbreviations

PROM

Premature Rupture of Membranes

PPROM

Preterm Premature Rupture Of Membranes

PA

Physical Activity

MVPA

Moderate to Vigorous Physical Activity

Author contributions

CZL, QL, SJY, HJC, XFP, RXW, CF and XYS conceived and designed the study. QL, SJY, HJC, XFP and HJC participated in the acquisition and analysis of data. CZL and QL drafted the manuscript, SJY, CHZ, XFP, RXW, CF and XYS revised the manuscript. All authors read and approved the final manuscript. XYS is the guarantor of this work, has full access to all the data in the study and takes responsibility for its integrity and the accuracy of the data analysis. CZL and QL contributed equally to this work.

Funding

Supported by Hainan Provincial Natural Science Foundation of China (821QN414, 822RC845, 821RC557), Finance Science and Technology Program of Sichuan Province (2022YFS0602), Hainan Clinical Medical Research Center Project (LCYX202205), and Science and Technology Special Fund of Hainan Province (ZDYF2020016).

Data availability

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Declarations

Ethics approval and consent to participant

The data of human participants in this study were conducted in accordance with the Helsinki Declaration. This study has been approved by the Ethics Committee of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China ([2017] No. S225). All participants provided written informed consent prior to enrollment.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Chuanzhu Lv and Qian Lu contributed equally to this work.

Contributor Information

Chao Fu, Email: fulunge@163.com.

Rixing Wang, Email: wangrixing903@126.com.

Xingyue Song, Email: songxingyue2015@163.com.

References

  • 1.Prelabor Rupture of Membranes ACOG Practice Bulletin, Number 217[J] Obstet Gynecol. 2020;135(3):e80–97. doi: 10.1097/AOG.0000000000003700. [DOI] [PubMed] [Google Scholar]
  • 2.Yang D, Chen L, Yang Y, et al. Influence of ambient temperature and diurnal temperature variation on the premature rupture of membranes in East China: a distributed lag nonlinear time series analysis[J] Environ Res. 2021;202:111145. doi: 10.1016/j.envres.2021.111145. [DOI] [PubMed] [Google Scholar]
  • 3.Assefa NE, Berhe H, Girma F, et al. Risk factors of premature rupture of membranes in public hospitals at Mekele City, Tigray, a case control study[J] BMC Pregnancy Childbirth. 2018;18(1):386. doi: 10.1186/s12884-018-2016-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Ocviyanti D, Wahono WT. Risk Factors for Neonatal Sepsis in Pregnant Women with Premature Rupture of the Membrane[J]. J Pregnancy, 2018, 2018: 4823404. [DOI] [PMC free article] [PubMed]
  • 5.Jin S, Xia W, Jiang Y, et al. Urinary vanadium concentration in relation to premature rupture of membranes: a birth cohort study[J] Chemosphere. 2018;210:1035–41. doi: 10.1016/j.chemosphere.2018.07.110. [DOI] [PubMed] [Google Scholar]
  • 6.ACOG Practice Bulletin No. 188: Prelabor Rupture of Membranes[J]. Obstet Gynecol. 2018, 131(1): e1-e14. [DOI] [PubMed]
  • 7.Shree R, Caughey AB, Chandrasekaran S. Short interpregnancy interval increases the risk of preterm premature rupture of membranes and early delivery[J] J Matern Fetal Neonatal Med. 2018;31(22):3014–20. doi: 10.1080/14767058.2017.1362384. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Menon R, Richardson LS. Preterm prelabor rupture of the membranes: a disease of the fetal membranes[J] Semin Perinatol. 2017;41(7):409–19. doi: 10.1053/j.semperi.2017.07.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Wójcik M, Jarząbek-Bielecka G, Merks P et al. Visceral therapy and physical activity for selected dysfunctions, with Particular emphasis on Locomotive Organ Pain in pregnant women-importance of reducing oxidative Stress[J]. Antioxid (Basel), 2022, 11(6). [DOI] [PMC free article] [PubMed]
  • 10.Menon R, Moore JJ. Fetal membranes, not a mere appendage of the Placenta, but a critical part of the fetal-maternal Interface Controlling Parturition[J] Obstet Gynecol Clin North Am. 2020;47(1):147–62. doi: 10.1016/j.ogc.2019.10.004. [DOI] [PubMed] [Google Scholar]
  • 11.Martin LF, Moço NP, De Lima MD, et al. Histologic chorioamnionitis does not modulate the oxidative stress and antioxidant status in pregnancies complicated by spontaneous preterm delivery[J] BMC Pregnancy Childbirth. 2017;17(1):376. doi: 10.1186/s12884-017-1549-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Menon R, Richardson LS, Lappas M. Fetal membrane architecture, aging and inflammation in pregnancy and parturition[J] Placenta. 2019;79:40–5. doi: 10.1016/j.placenta.2018.11.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Dutta EH, Behnia F, Boldogh I, et al. Oxidative stress damage-associated molecular signaling pathways differentiate spontaneous preterm birth and preterm premature rupture of the membranes[J] Mol Hum Reprod. 2016;22(2):143–57. doi: 10.1093/molehr/gav074. [DOI] [PubMed] [Google Scholar]
  • 14.Reyes LM, Davenport MH. Exercise as a therapeutic intervention to optimize fetal weight[J] Pharmacol Res. 2018;132:160–7. doi: 10.1016/j.phrs.2018.04.016. [DOI] [PubMed] [Google Scholar]
  • 15.Dipietro L, Evenson KR, Bloodgood B, et al. Benefits of physical activity during pregnancy and Postpartum: an Umbrella Review[J] Med Sci Sports Exerc. 2019;51(6):1292–302. doi: 10.1249/MSS.0000000000001941. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Brown WJ, Hayman M, Haakstad L, a H, et al. Australian guidelines for physical activity in pregnancy and postpartum[J] J Sci Med Sport. 2022;25(6):511–9. doi: 10.1016/j.jsams.2022.03.008. [DOI] [PubMed] [Google Scholar]
  • 17.Physical Activity and Exercise During Pregnancy and the Postpartum Period ACOG Committee Opinion, Number 804[J] Obstet Gynecol. 2020;135(4):e178–88. doi: 10.1097/AOG.0000000000003772. [DOI] [PubMed] [Google Scholar]
  • 18.Mottola MF, Davenport MH, Ruchat SM, et al. 367–2019 Canadian Guideline for physical activity throughout Pregnancy[J] J Obstet Gynaecol Can. 2018;40(11):1528–37. doi: 10.1016/j.jogc.2018.07.001. [DOI] [PubMed] [Google Scholar]
  • 19.Bull FC, Al-Ansari SS, Biddle S, et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour[J] Br J Sports Med. 2020;54(24):1451–62. doi: 10.1136/bjsports-2020-102955. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Barili A, Corralo VDS, Cardoso AM, et al. Acute responses of hemodynamic and oxidative stress parameters to aerobic exercise with blood flow restriction in hypertensive elderly women[J] Mol Biol Rep. 2018;45(5):1099–109. doi: 10.1007/s11033-018-4261-1. [DOI] [PubMed] [Google Scholar]
  • 21.Gutierrez-Lopez L, Olivares-Corichi IM, Martinez-Arellanes LY, et al. A moderate intensity exercise program improves physical function and oxidative damage in older women with and without sarcopenic obesity[J] Exp Gerontol. 2021;150:111360. doi: 10.1016/j.exger.2021.111360. [DOI] [PubMed] [Google Scholar]
  • 22.Galletta Ma, Schultz K, Sartorelli R. Clinical characteristics, complications, and predictive model of histological chorioamnionitis in women with preterm premature rupture of membranes[J] PLoS ONE. 2023;18(4):e0283974. doi: 10.1371/journal.pone.0283974. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Freeman SW, Denoble A, Kuller JA, et al. Management of Preterm premature rupture of membranes in the late Preterm Period[J] Obstet Gynecol Surv. 2022;77(5):283–92. doi: 10.1097/OGX.0000000000001024. [DOI] [PubMed] [Google Scholar]
  • 24.Powell JM, Frank ZC, Clark GV, et al. Expectant management of preterm premature rupture of membranes at 34 weeks: a cost effectiveness analysis[J] J Matern Fetal Neonatal Med. 2022;35(25):9136–44. doi: 10.1080/14767058.2021.2017874. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Cilar Budler L, Budler M. Physical activity during pregnancy: a systematic review for the assessment of current evidence with future recommendations[J] BMC Sports Sci Med Rehabil. 2022;14(1):133. doi: 10.1186/s13102-022-00524-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Morales-Suárez-Varela M, Clemente-Bosch E, Peraita-Costa I, et al. Maternal physical activity during pregnancy and the Effect on the Mother and Newborn: a systematic Review[J] J Phys Act Health. 2021;18(1):130–47. doi: 10.1123/jpah.2019-0348. [DOI] [PubMed] [Google Scholar]
  • 27.Rodriguez-Ayllon M, Acosta-Manzano P, Coll-Risco I, et al. Associations of physical activity, sedentary time, and physical fitness with mental health during pregnancy: the GESTAFIT project[J] J Sport Health Sci. 2021;10(3):379–86. doi: 10.1016/j.jshs.2019.04.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Zhan YL, Wu HG, Chen YL, et al. Correlation between physical activity, sedentary behavior and risk of premature rupture of membranes during pregnancy and dose-response relationship [J] Chin J Disease Control. 2021;25(02):138–42. [Google Scholar]
  • 29.Davenport MH, Ruchat SM, Sobierajski F, et al. Impact of prenatal exercise on maternal harms, labour and delivery outcomes: a systematic review and meta-analysis[J] Br J Sports Med. 2019;53(2):99–107. doi: 10.1136/bjsports-2018-099821. [DOI] [PubMed] [Google Scholar]
  • 30.Wu P, Wang Y, Ye Y, et al. Serum retinol-binding protein 4 levels and risk of gestational diabetes mellitus: a nested case-control study in Chinese women and an updated meta-analysis[J] Diabetes Metab Res Rev. 2022;38(2):e3496. doi: 10.1002/dmrr.3496. [DOI] [PubMed] [Google Scholar]
  • 31.Zhang Y, ZHAO Y, Dong SW, et al. Reliability and validity evaluation of Chinese version of physical activity questionnaire during pregnancy [J] Chin J Nurs. 2013;48(09):825–7. [Google Scholar]
  • 32.Chasan-Taber L, Schmidt MD, Roberts DE, et al. Development and validation of a pregnancy physical activity Questionnaire[J] Med Sci Sports Exerc. 2004;36(10):1750–60. doi: 10.1249/01.MSS.0000142303.49306.0D. [DOI] [PubMed] [Google Scholar]
  • 33.Ainsworth BE, Haskell WL, Whitt MC, et al. Compendium of physical activities: an update of activity codes and MET intensities[J] Med Sci Sports Exerc. 2000;32(9 Suppl):S498–504. doi: 10.1097/00005768-200009001-00009. [DOI] [PubMed] [Google Scholar]
  • 34.Committee on Practice B-O ACOG Practice Bulletin 188: Prelabor rupture of Membranes[J] Obstet Gynecol. 2018;131(1):e1–14. doi: 10.1097/AOG.0000000000002455. [DOI] [PubMed] [Google Scholar]
  • 35.Pan XF, Wang L, Pan A. Epidemiology and determinants of obesity in China[J] Lancet Diabetes Endocrinol. 2021;9(6):373–92. doi: 10.1016/S2213-8587(21)00045-0. [DOI] [PubMed] [Google Scholar]
  • 36.Sae-Lin P, Wanitpongpan P. Incidence and risk factors of preterm premature rupture of membranes in singleton pregnancies at Siriraj Hospital[J] J Obstet Gynaecol Res. 2019;45(3):573–7. doi: 10.1111/jog.13886. [DOI] [PubMed] [Google Scholar]
  • 37.Bennett PR, Brown RG, Macintyre DA. Vaginal microbiome in Preterm rupture of Membranes[J] Obstet Gynecol Clin North Am. 2020;47(4):503–21. doi: 10.1016/j.ogc.2020.08.001. [DOI] [PubMed] [Google Scholar]
  • 38.Sari IM, Adisasmita AC, Prasetyo S, et al. Effect of premature rupture of membranes on preterm labor: a case-control study in Cilegon, Indonesia[J] Epidemiol Health. 2020;42:e2020025. doi: 10.4178/epih.e2020025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Condrat CE, Filip L, Gherghe M et al. Maternal HPV infection: effects on pregnancy Outcome[J]. Viruses, 2021, 13(12). [DOI] [PMC free article] [PubMed]
  • 40.Madan I, Jackson FI, Figueroa R, et al. Preterm prelabor rupture of membranes in singletons: maternal and neonatal outcomes[J] J Perinat Med. 2023;51(6):787–91. doi: 10.1515/jpm-2022-0373. [DOI] [PubMed] [Google Scholar]
  • 41.Marković S, Bogdanović G, Cerovac A. Premature and preterm premature rupture of membranes in adolescent compared to adult pregnancy[J] Med Glas (Zenica) 2020;17(1):136–40. doi: 10.17392/1052-20. [DOI] [PubMed] [Google Scholar]
  • 42.Gai S, Wu Q, Zhang H. The change of inflammatory status and vaginal flora in pregnant women with premature rupture of membranes[J]. J Med Microbiol, 2023, 72(4). [DOI] [PubMed]
  • 43.Cao JK, Liu CG, Wang D, et al. Impact of premature rupture of membranes on clinical outcomes of extremely premature infants: a propensity score matching study[J] Front Pediatr. 2023;11:1144373. doi: 10.3389/fped.2023.1144373. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Meller CH, Carducci ME, Ceriani Cernadas JM, et al. Preterm premature rupture of membranes[J] Arch Argent Pediatr. 2018;116(4):e575–81. doi: 10.5546/aap.2018.eng.e575. [DOI] [PubMed] [Google Scholar]
  • 45.Helou K, El Helou N, Mahfouz M, et al. Validity and reliability of an adapted arabic version of the long international physical activity questionnaire[J] BMC Public Health. 2017;18(1):49. doi: 10.1186/s12889-017-4599-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Chmait RH, Chon AH, Korst LM, et al. Risks of Preterm premature rupture of membranes and Preterm Birth Post Fetoscopy based on location of Trocar insertion Site[J] Am J Perinatol. 2018;35(8):801–8. doi: 10.1055/s-0037-1620268. [DOI] [PubMed] [Google Scholar]
  • 47.Zhang X, Liao Q, Wang F, et al. Association of gestational diabetes mellitus and abnormal vaginal flora with adverse pregnancy outcomes[J] Med (Baltim) 2018;97(34):e11891. doi: 10.1097/MD.0000000000011891. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Lee WL, Chang WH, Wang PH. Risk factors associated with preterm premature rupture of membranes (PPROM)[J] Taiwan J Obstet Gynecol. 2021;60(5):805–6. doi: 10.1016/j.tjog.2021.07.004. [DOI] [PubMed] [Google Scholar]
  • 49.Meander L, Lindqvist M, Mogren I, et al. Physical activity and sedentary time during pregnancy and associations with maternal and fetal health outcomes: an epidemiological study[J] BMC Pregnancy Childbirth. 2021;21(1):166. doi: 10.1186/s12884-021-03627-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Davenport MH, Ruchat SM, Poitras VJ, et al. Prenatal exercise for the prevention of gestational diabetes mellitus and hypertensive disorders of pregnancy: a systematic review and meta-analysis[J] Br J Sports Med. 2018;52(21):1367–75. doi: 10.1136/bjsports-2018-099355. [DOI] [PubMed] [Google Scholar]
  • 51.Aune D, Schlesinger S, Henriksen T, et al. Physical activity and the risk of preterm birth: a systematic review and meta-analysis of epidemiological studies[J] BJOG. 2017;124(12):1816–26. doi: 10.1111/1471-0528.14672. [DOI] [PubMed] [Google Scholar]
  • 52.Phoswa WN, Khaliq OP. The Role of Oxidative Stress in Hypertensive Disorders of Pregnancy (Preeclampsia, Gestational Hypertension) and Metabolic Disorder of Pregnancy (Gestational Diabetes Mellitus)[J]. Oxid Med Cell Longev, 2021, 2021: 5581570. [DOI] [PMC free article] [PubMed]
  • 53.Zafaranieh S, Dieberger AM, Leopold-Posch B et al. Physical activity and sedentary time in pregnancy: an exploratory study on oxidative stress markers in the Placenta of women with Obesity[J]. Biomedicines, 2022, 10(5). [DOI] [PMC free article] [PubMed]
  • 54.Saiyin T, Engineer A, Greco ER, et al. Maternal voluntary exercise mitigates oxidative stress and incidence of congenital heart defects in pre-gestational diabetes[J] J Cell Mol Med. 2019;23(8):5553–65. doi: 10.1111/jcmm.14439. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Tinius RA, Cahill AG, Strand EA, et al. Maternal inflammation during late pregnancy is lower in physically active compared with inactive obese women[J] Appl Physiol Nutr Metab. 2016;41(2):191–8. doi: 10.1139/apnm-2015-0316. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Material 1 (34.9KB, docx)

Data Availability Statement

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.


Articles from BMC Public Health are provided here courtesy of BMC

RESOURCES