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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 maternity
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 maternity
models 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: 1
Maternal 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.
1
Maternal 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
model —
maternal 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.