The bivariate associations of the social, anthropometric, and
psychosocial variables with the success versus failure criterion are shown in Table 1.
Not exact matches
To date, results from several longitudinal studies indicate that e-cigarette use among nonsmoking youth increases the likelihood of future use of conventional cigarettes.5 — 10 Specifically, the pooled odds ratio (OR) in a recent meta - analysis of studies of adolescents and young adults (aged 14 — 30) indicates that those who had ever used e-cigarettes were 3.62 times more likely to report using cigarettes at follow - up compared
with those who had not used e - cigarettes.11 This finding was robust and remained significant when adjusting for known risk factors associated
with cigarette smoking, including demographic,
psychosocial, and behavioral
variables such as cigarette susceptibility.
A number of other
psychosocial variables appear to be associated
with distress, including self - criticism, dependency, situation appraisals and attachment style, but these have only been explored by one or two studies at most.
Future studies may want to examine the relationship between
psychosocial / qualitative factors
with sexual activity and energy expenditure which could explain how these
variables could affect overall health and quality of life.
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.
African American adolescent and new media: Associations
with HIV / STI risk behavior and
psychosocial variables.
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.
Psychosocial and health belief
variables associated
with frequent attendance in primary care
Table 4 also shows the estimated odds ratios for each
psychosocial adjustment construct in the model (adjusting for all other constructs in the model), indicating the odds of having a greater frequency of the outcome
variable compared
with the reference group.
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].
This study investigated associations of contextual
variables of risk (stressful events and exposure to community violence),
variables of protection (family environment, connectivity to the school and community perceptions) and demographic
variables (gender and age)
with indicators of
psychosocial adjustment (self - esteem, involvement in illegal activities and alcohol use in past month) among adolescents.
Four studies (Baluch et al., 1992; Collins et al., 1992; Newton et al., 1992; Bringhenti et al., 1997) did not assess the
psychosocial variable (s) explored
with a validated measure.
We examined each
psychosocial variable as an individual predictor of metabolic control, as well as whether it interacted
with age or sex.
With the exception of attentional bias (Verhaak et al., 2004), which was measured using an Emotional Stroop task, all psychosocial variables were measured with self - report sca
With the exception of attentional bias (Verhaak et al., 2004), which was measured using an Emotional Stroop task, all
psychosocial variables were measured
with self - report sca
with self - report scales.
The direct link between stress and metabolic control, however, contrasts
with the current view that
psychosocial variables affect metabolic control indirectly through their influence on adherence behavior.
Model of Associations Between
Psychosocial Variables and Health - Outcome Measures of Adolescents
with IDDM
Whilst some
psychosocial variables appear to be consistently associated
with distress for IVF patients, two - thirds of the
variables tested to date do not appear to be associated
with emotional adjustment.
To determine whether the significant risk and resistance predictors of changes in metabolic control were independent of each other, we conducted a final analysis in which the control
variables were entered along
with the four significant
psychosocial predictors (bulimic symptoms, depressive symptoms, depressive symptoms × lag, and friend negative relations × lag).