Sentences with phrase «use of the model maternal»

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Use and / or modifications of the Model Maternal, Infant, and Nurse Transfer Forms requires citing the original tool: Model Transfer Forms for Best Practice Guidelines: Transfer from Planned Home Birth to Hospital.
We used multivariable logistic - regression models to adjust for potential confounders, including maternal race or ethnic group (non-Hispanic white vs. other), parity (nulliparous vs. multiparous), insurance status (public or none vs. other), extent of prenatal care (≥ 5 visits vs. < 5 visits), advanced maternal age (≥ 35 years vs. < 35 years), maternal education (> 12 years vs. ≤ 12 years), history or no history of cesarean delivery, and a composite marker of conditions that confer increased medical risk.
To assess the robustness of the results of our regression analysis, we performed covariate adjustment with derived propensity scores to calculate the absolute risk difference (details are provided in the Supplementary Appendix, available with the full text of this article at NEJM.org).14, 15 To calculate the adjusted absolute risk difference, we used predictive margins and G - computation (i.e., regression - model — based outcome prediction in both exposure settings: planned in - hospital and planned out - of - hospital birth).16, 17 Finally, we conducted post hoc analyses to assess associations between planned out - of - hospital birth and outcomes (cesarean delivery and a composite of perinatal morbidity and mortality), which were stratified according to parity, maternal age, maternal education, and risk level.
We used multiple regression to estimate the differences in total cost between the settings for birth and to adjust for potential confounders, including maternal age, parity, ethnicity, understanding of English, marital status, BMI, index of multiple deprivation score, parity, and gestational age at birth, which could each be associated with planned place of birth and with adverse outcomes.12 For the generalised linear model on costs, we selected a γ distribution and identity link function in preference to alternative distributional forms and link functions on the basis of its low Akaike's information criterion (AIC) statistic.
Other maternal variables tested in the model included maternal age, ethnic group, socioeconomic status, parity, prepregnancy weight and height, CES - D score, and use of tobacco.
Models were developed using the following possible predictors of breastfeeding duration: maternal race, maternal education, paternal education, maternal age, socioeconomic status, 22 marital status, parity, mode of delivery, previous breastfeeding experience, timing of feeding method selection, problems with pregnancy / labor / delivery, breastfeeding goal (weeks), family preference for breastfeeding, paternal preference for breastfeeding, having friends who breastfed, randomization group, 16 plans to return to work, infant's 5 - minute Apgar score, and infant's age in minutes when first breastfed (first successful latch and feeding).
The McTempo (Models of Care: The Effects on Maternal and Perinatal Outcomes) collaboration is a multi-disciplinary and multi-institutional research grouping that has been formed to explore and evaluate different care models used in maternityModels of Care: The Effects on Maternal and Perinatal Outcomes) collaboration is a multi-disciplinary and multi-institutional research grouping that has been formed to explore and evaluate different care models used in maternitymodels used in maternity care.
«Our results using an animal model suggest that a maternal high - fat diet during pregnancy and lactation could have significant and lasting effects on the brain, behavior and cognition of rat pups,» said Dr. Tamashiro.
«We have demonstrated for the first time in an animal model that maternal use of a class of antidepressants called selective serotonin reuptake inhibitors, or SSRIs, resulted in increased fat accumulation and inflammation in the liver of the adult offspring, raising new concerns about the long - term metabolic complications in children born to women who take SSRI antidepressants during pregnancy,» says PhD student Nicole De Long, who presented this research on June 22nd at the joint meeting of the International Society of Endocrinology and The Endocrine Society.
A research group at the Department of Nutritional Sciences at the University of Toronto, Faculty of Medicine has been using a rat model to see how maternal intake of above - requirement vitamins (A, D, E, and K) impact offspring's brain development and behaviour.
Modeling was used in the evaluation of initiation, duration, maternal age, income, household composition, employment, marital status, postpartum depression, preterm birth, smoking, belief that «breast is best,» family history of breastfeeding, and in - hospital formula introduction.
However, the disrupted embryonic and fetal development of cattle clones produced by SCNT has been used as a model to elucidate the mechanisms of embryo loss, the maternal recognition of pregnancy (13, 14), and placental development (15 ⇓ — 17).
The effect of maternal care and age of separation (from the mother) on TC was also evaluated using a generalized linear model with a binomial distribution.
Subgroup analyses: We will examine whether there is evidence that the intervention effect is modified for subgroups within the trial participants using tests of interaction between intervention and child and family factors as follows: parity (first - born vs other), antenatal risks (2 vs 3 or more risk factors at screening), maternal mental health at baseline (high vs low score) 18, 62, 63 and self - efficacy at baseline (poor vs normal mastery) 35 using the regression models described above with additional terms for interaction between subgroup and trial arm.
Population average models were used to account for the longitudinal study design and correlation of repeated measurements, and an interaction term between maternal education (our socioeconomic measure) and age was included in order to examine whether differences in health inequalities by age were statistically significant.
We tested the role of maternal depression at 36 months (as measured by the continuous CIDI - SF scale) as a mediator of the relation between both chronic maternal IPV and maternal IPV prior to 36 months and obesity risk at age 60 months in separate models using the Preacher and Hayes bootstrapping method.49 We found evidence for simple mediation of maternal IPV prior to 36 months and chronic maternal IPV by maternal depression.
The results of mediation analysis using structural equation modeling showed that maternal problems in reciprocal social behavior directly increased infantile aggression (estimate = 0.100, 95 % CI [0.011, 0.186]-RRB-, and indirectly increased infantile aggression via maternal postpartum depressive symptoms (estimate = 0.027, 95 % CI [0.010, 0.054]-RRB-, even after controlling for covariates.
Longitudinal logistic models and ordered regression models with clustering for repeated measures across subjects adjusted for infant gender and visit were used to assess maternal and infant predictors of TV exposure and to test whether infants with both maternal and infant risk factors had higher odds of more detrimental TV exposure.
We used an imputed variable for household income provided by the FFCWS given the degree of missing data (∼ 10 %).12 Supplementary models included birth weight, maternal report of the child's health status, and the number of siblings as covariates.
Univariate generalized linear models were used to determine the estimated marginal means of the PedsQL scales and subscales adjusting for the child's age, sex, maternal education, and disadvantage index as covariates.
We implemented unadjusted and adjusted analyses (potential prognostic factors listed in table 2) of the outcomes (all quantitative) by using random effects linear regression models fitted by maximum likelihood estimation to allow for the correlation between the responses of participants from the same maternal and child health centre.29 We present means and standard deviations for each trial arm, along with the mean difference between arms, 95 % confidence intervals, and P values.
Data for the implementation and impact studies will be collected from a variety of sources, including interviews with parents; observations of the home environment; observed interactions of parents and children; direct assessments of children's development; observations of home visitors in their work with families during home visits; logs, observations, and interviews with home visitors, supervisors, and program administrators; program model documentation from program developers, grantees, and local sites; and administrative data on child abuse, health care use, maternal health, birth outcomes, and employment and earnings.
There was a significant reduction in one measure of poor mental health at one agency and a significant reduction in maternal problem alcohol use and repeated incidents of physical partner violence for families receiving ≥ 75 % of visits called for in the model.
ANCOVA models were used to test whether girls» temperament (ie, inhibitory control and approach) moderated the relation between feeding profiles and girls» EAH and BMI at 5 y. Girls» inhibitory control and approach did not emerge as moderators at 5 y; however, a main effect of feeding profile was observed on EAH at 5 y after adjustment for maternal BMI and education level and family income (F [63,6] = 2.56, P < 0.05).
Growth trajectories of maternal parenting practices (including family routines, firm - responsive parenting, and corporal punishment) were modeled using linear random effects models.
Note: 1Maternal reports of partner's alcohol consumption; 2Univariable multinomial logistic regression models; 3Multinomial logistic regression models adjusted for maternal age at delivery, parity, Social economic position, maternal education, maternal smoking during first trimester in pregnancy, housing tenure, income, and maternal depressive symptoms at 32 weeks gestation; CL: childhood limited, AO: adolescent onset, EOP: early onset persistent, the Low conduct problems class was used as the reference group.
1Maternal reports of partner's alcohol consumption; Model 1 adjusted for maternal age at delivery, parity, social economic position, maternal education, maternal smoking during first trimester in pregnancy, housing tenure, income, and maternal depressive symptoms at 32 weeks gestation; Model 2 further adjusted for maternal alcohol use at 18 weeks gestation.
Using data from a national study of youth, a meditational model was tested in which parenting practices (parental control and maternal support) were hypothesized to influence adolescents» participation in delinquent behavior through their affiliation with deviant peers.
We aim to estimate the pathways between maternal symptoms of anxiety and depression and child nocturnal awakenings via structural equation modeling using a sibling design.
In Studies 1 and 2, using moderated multiple regression models, we found evidence that maternal resilience functioned as a compensatory factor — having a significant independent main effect relationship with well - being outcomes in mothers of children with DD and autism spectrum disorder.
Responding to the call for independent data in maternal depression research (Burt et al. 2005), separate informants were used to assess the four constructs in the modelmaternal reports of their depressive symptomatology, observer ratings of the quality of mother - child interaction, teacher ratings of child emotion regulation, and peer nominations of child social preference.
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