Sentence examples for identified parity from inspiring English sources

Several studies identified parity as the most important factor influencing the successful vaginal delivery, whereas gestational age, fetal weight, and maternal BMI have much less impact [ 23– 25].

We verified that the large majority of the identified parity genes were not part of the age- or BMI-related signature identified in the same population [ 26, 52].

The predictive accuracy of the identified parity signature among parous women did not differ significantly by age at first birth (70% for ≤ 25 years versus 57% for > 25 years; P = 0.28), interval since most recent birth (60% for <10 years versus 75% for ≥ 10 years; P = 0.19) or menopausal status (62% for premenopausal versus 61% for postmenopausal women; P = 0.92).

The following maternal characteristics that were registered in the national perinatal database and that might be associated with the chance of referral or of an instrumental birth were identified: parity (nulliparous versus multiparous), maternal age (<25; 25–34; ≥35 year), background (Dutch; non Dutch) and planned place of birth (home; hospital; other/unknown).

On the other hand, studies aimed to assess cofactors for HSIL and cervical cancer have identified parity, smoking and long-term OC use as important cofactors that modulate the risk of progression from HPV infection or LSIL to HSIL and cervical cancer (Deacon et al, 2000; Hildesheim et al, 2001; Lacey et al, 2001; Moreno et al, 2002; Muñoz et al, 2002).

Advantageously RPs using DET not only identify parity situations but also approximations to the compared template structure with given precision.

The basic idea is to identify parity space and the related matrices, instead of a state space model of the process under consideration, directly from test data.

Finally, a model-free approach is given to directly identify parity space based or observer based residual generators from input and output data of descriptor systems and the order reduction of the identified residual generators is discussed.

In multivariate analysis, we did not identify parity as an independent risk factor for AI, supporting the findings of a population-based study among 2800 women aged 20 years and older.

Gene expression of the identified PVLSI parity signature was strongly enriched by parity in its PVLSI training set as expected (ESGSEA = 0.98, FWERGSEA = 0%, ORCreighton = 3.95, P-valueCreighton = 0.0002).

This identified that parity and level of obesity varied by setting in parous women with BMI >35 kg/m and that parity varied by setting in parous women with a previous CS.