Sentences with phrase «of psychosocial variables»

The majority of psychosocial variables explored for their relationship to emotional adjustment were not found to have a significant relationship.

First, we used multilevel modeling to examine the concurrent relations of the psychosocial variables to metabolic control across the four waves of assessment.

We also wanted to determine whether the relations of psychosocial variables to metabolic control changed over time.

First, we realize that we examined a large number of psychosocial variables.

Three of these studies reported that none of their psychosocial variables were significant predictors of subsequent psychological adjustment after existing distress levels were controlled for (Newton et al., 1990; Fisher et al., 2008; Verhaak et al., 2010).

RESULTS: Hierarchical regression analyses revealed that long - term success (at least 5 % weight reduction by the 1 - year follow - up) versus failure (dropping out or less weight reduction) was significantly predicted by the set of psychosocial variables (family adversity, maternal depression, and attachment insecurity) when we controlled for familial obesity, preintervention overweight, age, and gender of the index child and parental educational level.

Thereafter, as a second block, the complete set of psychosocial variables was introduced simultaneously to test whether the set of psychosocial variables significantly predicted the long - term outcome over and above the variables of the first block.

Maintenance of weight reduction between the conclusion of the program and the 1 - year - follow - up was also predicted by the set of psychosocial variables.

In a second step, the complete set of psychosocial variables was introduced simultaneously to test our hypothesis.

At all 3 follow - ups, the program had a positive impact on the majority of the psychosocial variables related to sexual risk - taking behaviors (e.g., HIV and STD knowledge, self - efficacy to get and use condoms, condom use norms, parent - child communication)(Coyle et al., 2001).

Third, despite the fact that we examined each of the psychosocial variable's relations to metabolic control individually, we also conducted a simultaneous regression and limit our conclusions to the findings from those analyses.

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.

Clow et al. write that this «regulation of physiological function across the day (e.g., the immune system) and its sensitivity to psychosocial variables make it a prime candidate as an intermediary linking mind to health.»

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.

The scale of natural disasters has also increased because of deforestation, environmental degradation, urbanization, and intensified climate variables.20 The distinctive health, behavioral, and psychosocial needs of children subject them to unique risks from these events.21 Extreme weather events place children at risk for injury, 22 loss of or separation from caregivers, 21 exposure to infectious diseases, 23 and a uniquely high risk of mental health consequences, including posttraumatic stress disorder, depression, and adjustment disorder.24 Disasters can cause irrevocable harm to children through devastation of their homes, schools, and neighborhoods, all of which contribute to their physiologic and cognitive development.25

The set of psychosocial characteristics explained significant variance over and above these control variables.

We calculated χ2 statistics, t tests, and correlation coefficients to analyze the bivariate associations between each potential predictor variable (anthropometric and psychosocial family characteristics) and the 2 criteria of long - term weight change: success versus failure in weight reduction up to the 12 - month follow - up and weight change between the conclusion of treatment and the 12 - month follow - up.

The bivariate associations of the social, anthropometric, and psychosocial variables with the success versus failure criterion are shown in Table 1.

The Wald statistics of the final model indicated that the presence versus absence of obese siblings explains significant unique variance in the criterion over and above the other variables, whereas the psychosocial variables predict shared variance.

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.

Perceived social support and alexithymia are psychosocial variables identified by previous studies as predictive of depression in normal controls and CKD patients.

The presence of psychosocial dysfunction among adolescent students was considered as dependent variables.

Other psychosocial variables, including lack of social support, 24 single marital status,25 - 27 low education or socioeconomic status, 27,28 and lack of knowledge about the disorder, 29 influence patients» adherence to drug treatments.

First, the MCS provides a comprehensive assessment of psychosocial and behavioural constructs reflecting mental health and well - being in a large sample of 27 808 children aged approximately 11 years (representing 31.4 % of eligible NSW students), which is representative of the NSW population on a range of demographic variables (table 3).

The five clusters could be meaningfully distinguished on a number of variables, such as personality features, psychosocial problems, and parental relationships.

Parental divorce during early adolescence in Caucasian families: The role of family process variables in predicting the long - term consequences for early adult psychosocial adjustment.

An Evaluation of Life Satisfaction within the Migratory Experience According to Psychosocial Variables

A pivotal set of variables that much of our research has addressed concerns what is broadly termed psychosocial resources.

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.

Hence, it is felt that there is a research gap in Indian context in the understanding of romantic relationship from a psychosocial perspective and exploring the role of multitude of relationship variables on such relationships.

Their model proposes that the manifestation of the adverse effects of certain risk factors (e.g., parameters of the disease / disability, functional independence, and psychosocial stressors) on children's psychosocial adaptation (e.g., mental, physical, and social functioning) may be attenuated by a variety of resistance factors (e.g., intrapersonal, social — ecological, and stress - processing variables).

The psychosocial variables were: exposure to childhood adversities; proximal negative life events; psychiatric history; parental psychiatric history; adolescent self - reports of the quality of the family environment at age 14.49; and depression symptoms at age 14.49.

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.

Their model proposes that manifestation of the adverse effects of certain Risk Factors (e.g., parameters of the disease / disability, functional independence, and psychosocial stressors) on Adaptation (e.g., mental, physical, and social functioning) may be attenuated by a variety of Resistance Factors (e.g., intrapersonal, social — ecological, and stress processing variables).

Furthermore, it could be prudent consider the role of other psychosocial variables on postpartum depression like social support perception, global psychological distress of partners, marital satisfaction, etc..

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.

For the first analysis, intraindividual family (conflict, cohesion, marital status, and number of adults in home), psychosocial (symptoms of anxiety and depression), medical (prepump regimen, metabolic control, and illness duration), and demographic variables (child and parent age, parent education, and ethnicity) were analyzed as predictors of QOL at the prepump assessment.

The most robust studies are those that used longitudinal designs and controlled for time 1 levels of distress or well - being before examining the predictive effect of time 1 psychosocial variables on time 2 psychological adjustment.

A total of 89 significant associations between psychosocial variables and psychological adjustment outcome were reported.

The frequencies and percentages of couple - related and psychosocial stress variables in the ART and control group women and men are given in Table I.

We examined each psychosocial variable as an individual predictor of metabolic control, as well as whether it interacted with age or sex.

Our psychosocial predictor variables (e.g., friend support and depressive symptoms) were considered to be time - varying predictors because they were measured at each wave of assessment and changed over time.

Papers included in this review were those reporting empirical research (cross sectional or longitudinal in design) exploring associations between a psychosocial variable and emotional adjustment, or the predictive effect of, at least one psychosocial variable on an emotional adjustment outcome measure.

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 scales.

Loneliness was found to be a correlate of depressive symptoms at the cross-sectional level, independent of gender, other demographic factors, multiple psychosocial variables, and social desirability.

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).