Among the various biological and psychosocial risk factors, maternal mental health problems, maternal educational status, and a small number of close social relationships correlated significantly with
child outcome variables.
Not exact matches
Which parenting
variable had more impact on
child outcomes?
where Yis alternatively represents an
outcome — academic achievement, cognitive ability, and academic effort — for the ith
child and in school s. Asianis is a dichotomous
variable indicating that
child i is Asian (vs. white).
These
outcomes have been achieved through SEL's impact on important mental health
variables that improve
children's social relationships, increase their attachment to school and motivation to learn, and reduce antisocial, violent, and drug - using behaviors.
The factors that contribute to the
outcome of the test are extremely
variable: did the
child sleep well, does the
child receive support and assistance from the parents at home, is English spoken at home, is the
child from a stable environment, does the
child have proper nutrition for cognitive success, does the
child have learning disabilities or challenges or suffer from test anxiety... and so on.
For divorcing families throughout Orlando, our
child support lawyers apply the statewide formula to estimate the
child support amounts for each unique situation, and pay close attention to the many
variables that shape the
outcome.
Consistent with a hypothesis that data are missing at random, several baseline demographic, but not
outcome,
variables predicted missingness including marital status (odds ratio [OR] = 3.4), parent age (OR = 0.92),
child age (OR = 1.96), and non-white or Hispanic race / ethnicity (OR = 2.6).
These associations were significantly moderated by theoretically and methodologically relevant
variables, with patterns of moderation found to vary somewhat with each
child outcome.
We also hypothesized that key
variables associated with poverty and known to negatively impact
child development
outcomes, including caregiving support, caregiver education, and stressful life events, would mediate the association between poverty and brain volumes.
Because maternal trait anxiety was highly correlated with a multitude of the study's dependent
variables (eg, mother's depression and
child outcomes), it also was used as a covariate in subsequent data analyses.
The role of parental relationship quality It has long been recognized in the research on divorced parents that the quality of parents» relationships (for example, how well they get along and how much conflict they experience) would be a key intervening
variable explaining links between divorce or separation and poorer
child outcomes.
This is supported by Szatmari's work in Canada, which showed that family dysfunction and, for boys, service needs disappeared as significant
variables associated with ADHD when comorbidity for other disorders were factored in, of which by the far the most common was CD.31 Unsurprisingly, abused
children with ADHD have poorer
outcomes in adulthood, but that could have several alternative explanations as there are many confounders that could account for these differences in
outcome.
It has been shown that inferences resulting from this analysis are virtually identical no matter which of these
outcome measures is used.30 In addition to the covariates previously noted, the regression analysis was repeated to include annual household income, mother's treatment setting (primary vs psychiatric outpatient care), and treatment status of
child during the 3 - month follow - up period in order to investigate the further potential confounding effects of these
variables.
The MSI was created to provide a single primary
outcome variable when studying
children with major mood disorders.
Baumrindà cents â «¬ â «cents s typology portrays parenting as something analogous to fixed personality traits (or the fixed
child social competence traits used as the
outcome variables in her research).
Similar to the ACE Study analyses, for each
outcome variable, a binary logistic regression was applied to test the relationship of the adversity index score (0, 1, 2, 3, or ≥ 4) to the
outcome, after entering the control
variables (
child's sex,
child's race / ethnicity, caregiver's marital status, and family income).
The caregiver's overall assessment of the
child's health and serious illness in the past year at the interview at age 6 years was used to assess the
outcome variables.
We estimated models by using dependent
variables previously associated with significant treatment effects in the follow - up study.10, 20 These included life - course
outcomes for the mother, such as number of subsequent
children, months on welfare, impairments due to substance use, and number of arrests, as well as life - course
outcomes for the study
children, such as number of runaway episodes and number of arrests or convictions.
When these demographic
variables were not included, only two of the 14
outcomes variables were statistically significant (at p < 0.05):
children's physical health was better in comparison sites than in CfC sites, and the reverse was true for maternal mental health at wave 1.
The primary
outcome variables for this analysis were the number of substantiated reports over the entire 15 - year period involving the study
child regardless of the identity of the perpetrator or involving the mother as perpetrator regardless of the identity of the
child.
Characteristics of Four Kinship Placement
Outcome Groups and
Variables Associated With These Kinship Placement
Outcome Groups Chang & Liles
Child and Adolescent Social Work Journal, 24 (6), 2007 Investigates factors that might be associated with the disruptions in kinship care of abused and neglected
children, characteristics of the
children such as their health status, ages, and the extent to which they were getting into «trouble» were significantly associated with
outcomes.
We found no associations between
child involvement and other treatment
variables, however, it is not entirely clear what role
child and parent involvement played and it would be useful for studies to look at the relative merits of
child alone vs. family - wide involvement in the FDP as a measure of treatment
outcome and process.
Summary: (To include comparison groups,
outcomes, measures, notable limitations) The aim of this study was to conduct a evaluation of the effectiveness of Circle of Security - Parenting (COS - P), with mothers in residential substance abuse treatment and (b) to examine what demographic
variables, including other risk factors for
child maltreatment, may influence the impact of the program with these mothers.
Which parenting
variable had more impact on
child outcomes?
When the dashed line falls below the solid line this indicates a reduction in the strength of association between family adversity and
child health when parenting
variables are added to the model suggesting that differences in parenting across families with different levels of adversity explain some of the inequalities in
child health
outcomes.
Second, we will enter explanatory
variables into the models to determine which factors have the most influence on
outcomes and inequalities in these
outcomes between Aboriginal and non-Aboriginal
children.
Table 3.4 summarises the relationships between maternal mental health and the selected
child development
outcomes that continued to show a significant independent relationship after controlling for
variables with were related to each other.
Finally, although a large number of family background
variables were controlled for in our analysis there may be many more that can impact on
children's
outcomes.
Table 6.6 Relationship between maternal health and drivers of
child outcomes controlling for other
variables
The dependent
variable for each model is the relevant driver of
child outcomes named in the column headings, the separation event and the sweep 1 measure of the driver are listed down the left and the arrows indicate the direction of any significant association.
However, they reflect a broad spread of factors of policy concern and are all likely to be of interest as explanatory
variables for later
outcomes once the
children reach adulthood.
Table 5.6 Relationship between job loss and drivers of
child outcomes controlling for other
variables
When the dashed line falls below the solid line this indicates a reduction in the strength of association between family adversity and
child health when parenting
variables are added to the model suggesting that differences in parenting across families with different levels of adversity explain some of the inequalities in that health
outcome.
These
outcomes have been achieved through SEL's impact on important mental health
variables that improve
children's social relationships, increase their attachment to school and motivation to learn, and reduce antisocial, violent, and drug - using behaviors.
Parenting is a proximal
variable in the causal pathway to adverse
outcomes in childhood and adolescence, of which material disadvantage and economic hardship are distal
variables.32 Behavioural problems and temper tantrums among young
children have been shown to increase as a result of parenting changes associated with economic hardship.33 Economic deprivation has also been associated with decreased respect for the father and increased dependence on peer group for adolescent boys, and lowered feelings of self adequacy and reduced goal aspirations for adolescent girls.15 Economic hardship appears to have direct and indirect effects on adolescent functioning.
The three treatment conditions were comparable on all
child and parent demographic and
outcome variables collected at baseline.
[xviii], [xix] In fact, the quality of the father -
child relationship is the single
variable that is most consistently linked to positive life
outcomes.
For these four subgroups, SRI identified
variables related to
child characteristics and
child outcomes, as well as family and program factors that mediate between the two.
Parent -
child interactions affect many different domains of development.41, 42,43 Child - focused, responsive and moderately controlling parenting attitudes have been positively associated with self - esteem, academic achievement, cognitive development and fewer behaviour problems.44, 45 Furthermore, high warmth and contingent responsiveness promote a wide range of positive developmental outcomes.46, 47,48,49 Parental management style and affective involvement may be especially salient for children's prosocial development, self - control and internalization of behaviour standards.41 The quality of parenting has been found to be important for child socialization, 50,51 and parenting variables show direct links with child adjustme
child interactions affect many different domains of development.41, 42,43
Child - focused, responsive and moderately controlling parenting attitudes have been positively associated with self - esteem, academic achievement, cognitive development and fewer behaviour problems.44, 45 Furthermore, high warmth and contingent responsiveness promote a wide range of positive developmental outcomes.46, 47,48,49 Parental management style and affective involvement may be especially salient for children's prosocial development, self - control and internalization of behaviour standards.41 The quality of parenting has been found to be important for child socialization, 50,51 and parenting variables show direct links with child adjustme
Child - focused, responsive and moderately controlling parenting attitudes have been positively associated with self - esteem, academic achievement, cognitive development and fewer behaviour problems.44, 45 Furthermore, high warmth and contingent responsiveness promote a wide range of positive developmental
outcomes.46, 47,48,49 Parental management style and affective involvement may be especially salient for
children's prosocial development, self - control and internalization of behaviour standards.41 The quality of parenting has been found to be important for
child socialization, 50,51 and parenting variables show direct links with child adjustme
child socialization, 50,51 and parenting
variables show direct links with
child adjustme
child adjustment.52
This strategy was used to examine the unique contribution of the parental
variables after controlling for the observed influences of
child demographic and disease
variables on the
child outcomes.
Children's level of conduct problems (ECBI) immediately post intervention was the
outcome variable in all models.
The total score was entered as the
child adaptability
outcome score, dependent
variable.
Other
variables (maternal parity, housing stability, hospitalization, perceived health status, employment, use of the Women, Infants, and
Children Supplemental Nutrition Program, and cigarette smoking; whether the mother was living with a partner; and infant gestational age, birth weight, need for transfer to an intensive care nursery, health insurance, special needs, health status as perceived by the mother, and age at the time of the survey) were included if the adjusted odds ratio differed from the crude odds ratio by at least 10 %, which is a well - accepted method of confounder selection when the decision of whether to adjust is unclear.42, 43 Any
variable associated with both the predictor (depression) and the
outcome (infant health services use, parenting practices, or injury - prevention measures) at P <.25, as suggested by Mickey and Greenland, 42 was also included.
A recent meta - analysis showed that low family socio - economic status is associated with higher levels of
children's antisocial behaviours, and indicated that this relationship is stronger when CU traits are considered as
outcome variables [72].
Preliminary analyses indicated no significant associations between demographic
variables and the treatment
outcome variables (i.e., parenting measures,
child EBP).
Table 1 contains the descriptives for the psychological measures analyzed in this study for
children at ages 3 and 5 (mean and standard deviations for the quantitative
variables and prevalences for binary
outcomes).
However, analysis of regression structure coefficients (
child report of adherence rs =.67, parent report of adherence rs =.59), which are not suppressed or inflated by collinearity, demonstrates that beta weights for adherence are low because of multicollinearity between predictors, not poor relations with the
outcome variable.
They showed that, even with the effects of chronic stress statistically controlled, there were still differences in the psychosocial
outcome variables among groups, and there was particular impairment in
children of unipolar mothers [30].
Of particular note, parental attitudes and adjustment, quality of the parent —
child attachment, and the presence of parenting and coping skills constitute proximal
variables that were better predictors of
child outcomes than the frequency or severity of the stressor event (Palmer 2008).
Like the family environment, many studies have focused on the marital relationship as an
outcome variable of family adaptation, indicating less marital satisfaction in mothers of
children with ASD in comparison to mothers of
children with other disorders [56, 69], and less positive expression within the marital relationship [45].