Moderate exercise does not increase risk of preterm birth in healthy pregnant women

Background: Advanced maternal age is an important predictor for maternal and neonatal outcomes such as maternal mortality, low birth weight, stillbirth, preterm birth, cesarean section and preeclampsia. Objective: To determine the association of advanced maternal age and adverse maternal and neonatal outcomes in Iranian pregnant women. Methods: In this hospital-based cross-sectional study, 5117 pregnant women from 103 hospitals in Tehran, Iran, were participated in the study in 2015. The required data were gathered from hospitals which equipped to the department of obstetrics and gynecology. Advanced maternal age was considered as an independent variable and unwanted pregnancy, preeclampsia, preterm birth, cesarean section and low birth weight were considered as interested outcomes. Results: In our study, the prevalence of advanced maternal age was 12.08%. Advanced maternal age was significantly associated with higher risk of unwanted pregnancy (OR: 1.39, 95% CI: 1.12-1.73), preterm birth (OR: 1.75, 95% CI: 1.28- 2.39) and cesarean section (OR: 1.34, 95% CI: 1.03-1.74). In our study, there was no significant relationship between advanced maternal age and preeclampsia but this relationship could be clinically important (OR: 1.48, 95% CI: 0.99-2.20, P=0.052), and there is no significant relationship between advanced maternal age and low birth weight (OR: 1.08, 95% CI: 0.67-1.74, P=0.736). Conclusion: Advanced maternal age is associated with higher risk of unintended pregnancy, preterm birth and cesarean section but our findings did not support advanced maternal age as a risk factor associated with low birth weight.

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The PROMISES study: a mixed methods approach to explore the acceptability of salivary progesterone testing for preterm birth risk among pregnant women and trained frontline healthcare workers in rural India

BMJ Open ◽

10.1136/bmjopen-2020-040268 ◽

2021 ◽

Vol 11 (1) ◽

pp. e040268

Author(s):

Danielle Ashworth ◽

Pankhuri Sharma ◽

Sergio A Silverio ◽

Simi Khan ◽

Nishtha Kathuria ◽

...

Keyword(s):

Mixed Methods ◽

Preterm Birth ◽

Pregnant Women ◽

Barriers And Facilitators ◽

Rural India ◽

Structured Interviews ◽

Framework Analysis ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Thematic Framework

IntroductionIndia has an overall neonatal mortality rate of 28/1000 live births, with higher rates in rural India. Approximately 3.5 million pregnancies in India are affected by preterm birth (PTB) annually and contribute to approximately a quarter of PTBs globally. Embedded within the PROMISES study (which aims to validate a low-cost salivary progesterone test for early detection of PTB risk), we present a mixed methods explanatory sequential feasibility substudy of the salivary progesterone test.MethodsA pretraining and post-training questionnaire to assess Accredited Social Health Activists (ASHAs) (n=201) knowledge and experience of PTB and salivary progesterone sampling was analysed using the McNemar test. Descriptive statistics for a cross-sectional survey of pregnant women (n=400) are presented in which the acceptability of this test for pregnant women is assessed. Structured interviews were undertaken with ASHAs (n=10) and pregnant women (n=9), and were analysed using thematic framework analysis to explore the barriers and facilitators influencing the use of this test in rural India.ResultsBefore training, ASHAs’ knowledge of PTB (including risk factors, causes, postnatal support and testing) was very limited. After the training programme, there was a significant improvement in the ASHAs’ knowledge of PTB. All 400 women reported the salivary test was acceptable with the majority finding it easy but not quick or better than drawing blood. For the qualitative aspects of the study, analysis of interview data with ASHAs and women, our thematic framework comprised of three main areas: implementation of intervention; networks of influence and access to healthcare. Qualitative data were stratified and presented as barriers and facilitators.ConclusionThis study suggests support for ongoing investigations validating PTB testing using salivary progesterone in rural settings.

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The Combined Effects of Fine Particulate Matter and Temperature on Preterm Birth in Seoul, 2010–2016

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18041463 ◽

2021 ◽

Vol 18 (4) ◽

pp. 1463

Author(s):

Youngrin Kwag ◽

Min-ho Kim ◽

Shinhee Ye ◽

Jongmin Oh ◽

Gyeyoon Yim ◽

...

Keyword(s):

Particulate Matter ◽

Preterm Birth ◽

Pregnant Women ◽

Low Temperatures ◽

Fine Particulate Matter ◽

Temperature Data ◽

Fine Particulate ◽

The Mean ◽

Pm2.5 Exposure ◽

Pm2.5 Concentration

Background: Preterm birth contributes to the morbidity and mortality of newborns and infants. Recent studies have shown that maternal exposure to particulate matter and extreme temperatures results in immune dysfunction, which can induce preterm birth. This study aimed to evaluate the association between fine particulate matter (PM2.5) exposure, temperature, and preterm birth in Seoul, Republic of Korea. Methods: We used 2010–2016 birth data from Seoul, obtained from the Korea National Statistical Office Microdata. PM2.5 concentration data from Seoul were generated through the Community Multiscale Air Quality (CMAQ) model. Seoul temperature data were collected from the Korea Meteorological Administration (KMA). The exposure period of PM2.5 and temperature were divided into the first (TR1), second (TR2), and third (TR3) trimesters of pregnancy. The mean PM2.5 concentration was used in units of ×10 µg/m3 and the mean temperature was divided into four categories based on quartiles. Logistic regression analyses were performed to evaluate the association between PM2.5 exposure and preterm birth, as well as the combined effects of PM2.5 exposure and temperature on preterm birth. Result: In a model that includes three trimesters of PM2.5 and temperature data as exposures, which assumes an interaction between PM2.5 and temperature in each trimester, the risk of preterm birth was positively associated with TR1 PM2.5 exposure among pregnant women exposed to relatively low mean temperatures (<3.4 °C) during TR1 (OR 1.134, 95% CI 1.061–1.213, p < 0.001). Conclusions: When we assumed the interaction between PM2.5 exposure and temperature exposure, PM2.5 exposure during TR1 increased the risk of preterm birth among pregnant women exposed to low temperatures during TR1. Pregnant women should be aware of the risk associated with combined exposure to particulate matter and low temperatures during TR1 to prevent preterm birth.

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