It is evident from the correlation and regression results that romantic inclination is associated with key individual, interpersonal and
social level variables.
Not exact matches
After controlling for as many
variables as they were able, the researchers again found a negative correlation between
social class — this time on a national
level — and the percentage of Facebook friends from other countries.
Coyne discusses the limits of self reported distress among college students as an analogue for clinical depression.5 Secondly, participants in analogue studies differ from clinical populations in important sociodemographic
variables such as age,
social class, and educational
level.
SLA -
level predictor
variables will include: accessibility (ARIA +), 33 socioeconomic status (using Socio Economic Status for Areas (SEIFA) indexes, four indexes that summarise different aspects of the socioeconomic conditions of people living in an area based upon sets of
social and economic information from the Australian Census35); full - time equivalent GPs; medical workers, nurses, pharmacists, Aboriginal health workers and community services workers per 10 000 population; rates of unemployment and labour force participation.
Within this highly
variable and multidimensional context, the AAP and others have encouraged pediatric providers to develop a screening schedule that uses age - appropriate, standardized tools to identify risk factors that are highly prevalent or relevant to their particular practice setting.29, 66,67 In addition to the currently recommended screenings at 9, 18, and 24/36 months to assess children for developmental delays, pediatric practices have been asked to consider implementing standardized measures to identify other family - or community -
level factors that put children at risk for toxic stress (eg, maternal depression, parental substance abuse, domestic or community violence, food scarcity, poor
social connectedness).
Area -
level explanatory
variables will include: accessibility and remoteness, as measured by the Accessibility / Remoteness Index of Australia Plus (ARIA +); 54 socioeconomic disadvantage, as measured by the Australian Bureau of Statistics (ABS) Socioeconomic Indexes for Areas (SEIFA); 55 presence of Aboriginal Medical Services; presence of an AMIHS; proportion of Aboriginal pregnancies / births in an area managed by an AMIHS; numbers of Aboriginal and non-Aboriginal children attending preschool; numbers of full - time equivalent health workers (including general medical practitioners, nurses, midwives and Aboriginal health workers) per 10 000 population; measures of
social capital from the NSW Population Health Survey; 56 features of local communities (derived from ABS Census data), such as information on median personal and household income, mortgage repayment and rent; average number of persons per bedroom and household size; employment; non-school qualifications and housing type for Aboriginal residents in each area.57
Hierarchical linear regressions were conducted in which each
social relationship
variable at Wave 2 (parent connectedness and supportive friendships) was regressed on its Wave 1
levels, age, gender, race, and Wave 1 sexual risk in the first step.
Contrary to hypotheses, different
levels of the perceived
social support
variables did not modify the effects of risky neighborhood conditions on adolescent's perceived school engagement.
Our finding that the severity of depressive symptoms was a significant but relatively smaller contributor to physical disability in this sample (after controlling for the possible effects of age, sex and duration of pain) is consistent with findings of some previous studies of patients with chronic pain, but not with some treatment studies, which found that depression
level contributed to less significant improvement in pain - related disability.11, 27 It is not surprising that cognitive, pain and behavioural
variables accounted for more physical disability than depressive symptoms but it is notable that
social support (as measured by the MPI), sense of control over life, and catastrophising did not significantly contribute to physical disability.
In the current study, statistical analyses evaluated the main and moderating effects of
variables measured repeatedly at the within - person
level (stress,
social support, and unsupportive interactions) and
variables measured at the between - person
level (disruptive child behaviors, and support services) on daily positive and negative mood.
In order to assess the unique contribution of the
level of relationship satisfaction, multivariable logistic regression analyses were performed with the following independent control
variables: stressful life events, maternal age,
level of education, income, marital status,
social support, breastfeeding, smoking during pregnancy, maternal depression and the sex of the offspring.
This suggests that one or more of the
social competence
variables acts as suppressor on gender and that with
social competence
level kept constant differences between boys and girls in trajectory group membership do occur.
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.
In their frequently cited review of the literature on
social phobia (or Social Anxiety Disorder, SAD), Rapee and Spence (2004) opened with the message that whilst the field has moved forward in understanding factors that may maintain social phobia, it is still relatively unclear which variables bring about individual differences in social anxiety levels in the popul
social phobia (or
Social Anxiety Disorder, SAD), Rapee and Spence (2004) opened with the message that whilst the field has moved forward in understanding factors that may maintain social phobia, it is still relatively unclear which variables bring about individual differences in social anxiety levels in the popul
Social Anxiety Disorder, SAD), Rapee and Spence (2004) opened with the message that whilst the field has moved forward in understanding factors that may maintain
social phobia, it is still relatively unclear which variables bring about individual differences in social anxiety levels in the popul
social phobia, it is still relatively unclear which
variables bring about individual differences in
social anxiety levels in the popul
social anxiety
levels in the population.
This longitudinal study is the first to examine developmental trajectories of
social anxiety in a nonclinical sample aged 9 to 21 years and simultaneously test whether conceptually relevant individual
level variables assessing cognition,
social competence, and temperament discriminated between the trajectories.
In contrast, the
social competence
variables did not differentiate the low from the moderate trajectory, suggesting a comparable
level of
social skills and
social problems in these two trajectories.
The
level of Impairment in quality of life within families of children with these severe chronic conditions is likely to be moderated by a complex matrix of environmental as well as genetically - based
variables such as socio - economic status,
social support, parental and child characteristics and coping strategies [22, 23].
Thus, we controlled for three
level 1
variables (age, pubertal status, and treatment delivery method), two
level 2
variables (baseline
social status and baseline BMI), and the interaction between age and BMI in cross-sectional multilevel models.
It is important to identify potential subgroups of adolescents with differing
levels of
social anxiety over time because with this information a richer analysis of potential
variables that are associated with continuity or emergence of
social anxiety during adolescence is possible.
In this study we examined three individual
level variables, namely cognition,
social competence, and temperament, which are theoretically and empirically related to
social anxiety and may discriminate between
social anxiety trajectories.