Related Experiment Video
Updated: May 4, 2026
04:18
Modeling Ascending Vaginal Infection, Preterm Birth, and Neonatal Morbidity in Mice
Published on: October 10, 2025
735
[Risk factors associated with spontaneous preterm deliveries before 30 weeks in Martinique F.W.I.: a case-control
C Périlleau-Boichut1, J-L Voluménie1, O Fléchelles2
1Service de gynécologie-obstétrique - Maison de la Femme, de la Mère et de l'Enfant, CHU de Martinique, BP 632, 97261 Fort-de-France cedex, France.
Journal De Gynecologie, Obstetrique Et Biologie De La Reproduction
|December 17, 2013
Summary
Preterm birth before 30 weeks in Martinique is linked to previous preterm delivery, twin pregnancies, and Gram-negative bacterial infections. These factors are consistent with classical prematurity risks.
Area of Science:
- Obstetrics and Gynecology
- Perinatology
- Infectious Diseases
Context:
- Preterm birth rates are higher in overseas territories like Martinique compared to continental France.
- Differences in maternal characteristics exist between pregnant women in France and Martinique.
- The study investigates potential risk factors contributing to elevated preterm birth rates in Martinique.
Purpose:
- To compare the prevalence of potential risk factors in preterm deliveries (before 30 weeks) versus term deliveries in Martinique.
- To identify specific factors associated with early preterm birth in this population.
Summary:
- A retrospective study analyzed 50 deliveries before 30 weeks (38 spontaneous) from 2010-2011 in Martinique.
- Significantly higher prevalence of previous preterm delivery (OR=4.1), twin pregnancies (OR=26.6), and Gram-negative bacterial species (OR=23.3) were observed in early preterm births.
- Classical risk factors for prematurity were identified, but differences between Martinique and France did not emerge as significant risk factors.
Impact:
- Identifies key risk factors for early preterm birth in Martinique, including previous preterm delivery, twin pregnancies, and specific bacterial infections.
- Provides insights into the etiology of preterm birth in overseas territories.
- Informs targeted interventions and public health strategies to reduce preterm birth rates in Martinique.
Keywords:
Early spontaneous preterm deliveryFacteurs de risqueMartiniqueMartinique F.W.I.Prématurité spontanée précoceRisk factorsMore Related Videos
14:43A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
14.4K
07:36Modeling Encephalopathy of Prematurity Using Prenatal Hypoxia-ischemia with Intra-amniotic Lipopolysaccharide in Rats
Published on: November 20, 2015
10.5K
Related Concept Videos
01:26Factors Affecting the Risk of Infection
14.1K
The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
14.1K
01:28Development of the Oral Microbiota
65
The establishment of the oral microbiome begins before birth, challenging the long-held belief that the fetal oral cavity is sterile. The presence of oral microbes such as Streptococcus and Fusobacterium in amniotic fluid suggests that microbial exposure may occur in utero, potentially through translocation from the maternal oral or gastrointestinal tract. This early colonization primes the neonatal immune system and sets the stage for subsequent microbial succession. Maternal health,...
65
01:30Development of Human Microbiota
61
The human microbiota begins developing at birth and undergoes continual change as we age. Infancy marks a critical period of microbial sensitivity, offering a “window of opportunity” during which beneficial microbes help mature the immune system. By age three, children typically develop a more stable and diverse microbial community. Newborns acquire microbes from their immediate environment; vaginal delivery favors maternal vaginal microbes, while cesarean births favor microbes from...
61
01:18Factors Affecting Illness
5.4K
When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
For instance, risk factors are connected to illness,...
5.4K
01:24Drug Toxicity: Risk factors
229
Adverse Drug Reactions (ADRs) are potential complications that arise during pharmacotherapy, influenced by multiple risk factors. Age plays a significant role; both neonates and the elderly are at heightened risk due to their respective immature and diminished metabolic and elimination processes. Gender also impacts ADRs, with females experiencing a 1.5 to 1.7-fold greater risk than males, which may be linked to pharmacokinetic, pharmacodynamic, and hormonal differences. Notably, neonates, the...
229
01:29Bias in Epidemiological Studies
1.7K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
1.7K