Results showed that both family cohesion and parental monitoring predicted school engagement, but neither
family characteristic predicted GPA.
Patient and
family characteristics predicting difficulty with diabetes management should be sought and addressed.
Not exact matches
Completion of more - advanced math courses increased the
predicted probability of college graduation even when the authors controlled for demographic traits, socioeconomic status,
family and school
characteristics, and overall measures of math ability (i.e., math GPA and grade 10 math test score).
To analyze whether baseline psychosocial variables can be used to
predict weight change up to a 12 - month follow - up examination in children and adolescents who attend a «best - practice» routine - care lifestyle intervention, we conducted a longitudinal analysis with 3 assessment waves: at baseline (T0: within 3 weeks before the start of the intervention) body weight and height of participants and
family members and the psychosocial
family characteristics were assessed; at the conclusion of the program (T1: 1 year after T0) and 1 year after conclusion (T2: 2 years after T0), body weights and heights of participants were reassessed.
Depression and attachment insecurity of the primary caregiver and more distal
family adversity factors (such as incomplete schooling or vocational training of parents, high person - to - room ratio, early parenthood, and broken - home history of parents) were found to best
predict inadequate parenting13, 14 and precede the development of a child's low compliance with parents, low effortful control, and behavior problems.13, 15, — , 17 These psychosocial familial
characteristics might also constrain the transfer of program contents into everyday
family life and the maintenance of modified behaviors after the conclusion of the programs.
Rigorous scientific analyses will identify interactions among early care and education
characteristics, hours in care, and
family and child
characteristics (race / ethnicity, income, child gender) in
predicting children's school readiness.
Multivariate logit regression analysis was then used to identify which
family and child
characteristics, before 5 months of age,
predict individuals on a high - level physical aggression trajectory from 17 to 42 months after birth.
Poor
family functioning
predicted physical violence victimization in both male and female suicidal inpatients, even after controlling for alcohol use and demographic
characteristics.
In multivariate analysis that took account of other
family and maternal
characteristics, the MCS study found that two measures of
family organisation (regular bed and mealtimes) were the only parenting behaviours
predicting poor general health.
Third, although there are some data about various child and
family characteristics that
predict outcome (e.g., socioeconomic disadvantage, severity of child behaviour, maternal adjustment problems, treatment barriers), there has been a relative dearth of attention paid to a) the actual processes of change that are induced by PMT and b) whether there are certain subgroups (e.g., based on child gender or minority status or
family socioeconomic status) for whom PMT is more or less effective.15 - 17
Person - centered approaches that allow
family characteristics to cluster in
predicting response trajectories can help identify the
families that benefit less or more from interventions (e.g., Pelham et al. 2017).
The path coefficients suggest that, of the four participant
characteristics previously identified in the literature and hypothesized to
predict engagement in this study, only
family income (β =.16, p <.05) and
family stress (β =.18, p <.05) significantly
predicted engagement.
Results indicated that only two participant
characteristics (
family income and
family stress)
predicted engagement.
During the transition, elements of children's QOL improved, and the amount of improvement was
predicted by children's psychosocial (i.e., depressive and anxiety symptoms); medical (i.e., prepump regimen, illness duration); and demographic (i.e., child and parent age, number of adults in home)
characteristics, but not by
family environment.
To
predict typology membership, we considered a range of
family characteristics, including parental resources, parental beliefs, and offspring
characteristics.