Thus, we conducted another test to examine the effect of changes in different exercise
models on depressive symptoms, as shown in table 4.
Not exact matches
Results have shown this
model may reduce
depressive symptoms by up to 50 % compared with usual care, and it is
on this
model that we base our study.
We applied generalised linear mixed
models via PROC GLIMMIX to estimate the effects of different transitional patterns of exercise
on depressive symptoms with HLDS as the event, after adjusting for the previous CESD score, age, gender, level of education, marital status, smoking, physical function, emotional support, social participation, self - rated health, economic satisfaction, employment and 10 chronic conditions.
The impacts of different amounts of exercise
on depressive symptoms were analysed using generalised linear mixed
models.
Addressing this gap, the present study examined multiple factors longitudinally that link parental
depressive symptoms to adolescent adjustment problems, building
on a conceptual
model informed by emotional security theory (EST).
While there is strong evidence supporting effectiveness of collaborative care for adult depression, Richardson et al's study adds to results of two other studies in supporting the value of collaborative care
models for adolescent depression: (1) using a similar
model, Asarnow et al1 found significant advantages for collaborative depression care versus usual care (UC); (2) using a stronger medication treatment as usual condition, collaborative care with psychotherapy plus medication yielded a marginal advantage
on depressive symptoms and significant advantage
on mental health - related quality of...
Prospective Effects of Marital Satisfaction
on Depressive Symptoms in Established Marriages: A Dyadic
Model.
The results of the study performed
on the
model suggest that both parents and children contribute to the development of
depressive symptoms.
[jounal] Beach, S. / 2003 / Prospective effects of marital satisfaction
on depressive symptoms in established marriages: A dyadic
model / Journal of Social and Personal Relationships 20: 355 ~ 371
This
model included the additional time - varying covariates (Level 1) representing (a) the effect of patient self - rated health
on spouse
depressive symptoms and (b) the effect of spouse self - rated health
on patient
depressive symptoms and the time - invariant effects (Level 2) representing (c) the effect of mean patient self - rated health
on mean spouse
depressive symptoms and (d) the effect of mean spouse self - rated health
on mean patient
depressive symptoms.
In order to identify the number and patterns of these trajectories,
depressive symptoms should be measured
on at least three different times and
modeled using a group based trajectory approach.
The findings from these studies converge
on the theme that attachment theory has considerable utility in potentially extending and refining current cognitive vulnerability
models through a consideration of interpersonal context and the cognitive mechanisms by which negative interpersonal experiences may confer increased risk to later anxious and
depressive symptoms.
Future studies could test hypotheses based
on this
model to improve our understanding of the development of adolescents»
depressive symptoms in both boys and girls.
In line with biopsychosocial
models, results indicate that the effect of pubertal timing
on depressive symptoms must be conceptualized through complex interactions between characteristics of adolescents» interpersonal relationships and prepubertal vulnerabilities.
Second, the dependent variable (
depressive symptoms) was regressed
on the independent variable (marital status) in
Model 1 (Tables 4 and 5).
Fourth, the dependent variable (
depressive symptoms) was regressed
on both the independent variable (marital status) and the mediator (social ties) in
Models 5 — 7.
Third, the dependent variable (
depressive symptoms) was regressed
on the mediator (social ties) in
Models 2 — 4.
In
Models 5 — 8, the variables related to social ties were added to
Model 1 as the fourth step in regressing
depressive symptoms (dependent variable)
on both marital status (independent variable) and social ties (mediator).
The impact of marital status
on depressive symptoms was less pronounced in
Model 7 than in
Model 1 in both men (
Model 1, β =.109;
Model 7, β =.097) and women (
Model 1, β =.082;
Model 7, β =.040).
Model 1 included the marital status variable and covariates (age, education, equivalent household income, at least one disability, number of chronic diseases, number of children, participation in economic activity, and number of social activities) as the second step in regressing
depressive symptoms (dependent variable)
on marital status (independent variable).
Based
on the above - described considerations, we tested a theoretical
model (Fig. 1) in which the association between self - esteem and
depressive symptoms is partly mediated by approach and avoidance motivation and social factors.
Multi-level
modeling analyses indicated that,
on average over the course of treatment, variable and less severe obsessive — compulsive
symptoms significantly predicted a decrease in
depressive symptoms.
Group - based trajectory
modeling analyses conditional
on risk and protective factors identified four trajectories of
depressive symptoms across adolescence: moderate stable (MS; 54.57 % of the sample), low stable (LS; 27.16 %), moderate increasing (MI; 11.30 %), and high declining (HD; 6.97 %).
The fitted
model suggests that while measures of neuroticism are contaminated by the effects of short term mental state
on the reporting of personality, there is still a fairly substantial relationship between trait neuroticism (corrected for the effects of mental state contamination) and reports of
depressive symptoms.
Once the outcome
models were derived, inverse probability weighting (IPW)[47] was used as a sampling weight to investigate the possible influence of selective participation
on our estimates of association between parental alcohol and offspring conduct problems and
depressive symptoms, respectively.
Past research relying
on either cross-sectional or main effect
models makes the assumption that low levels of perceived control will uniformly and consistently predict higher levels of
depressive symptoms without taking into account contextual and environmental factors such as stress (see Alloy et al. 1988).
Findings from recent studies indeed provide support for a mediating
model by which children's poor peer experiences have an indirect effect
on depressive symptoms via feelings of loneliness.
This study investigated the role of parental Autism spectrum disorder (ASD), attention - deficit / hyperactivity disorder (ADHD), and
depressive symptoms on parenting stress in 174 families with children with ASD and / or ADHD, using generalized linear
models and structural equation
models.
There was a significant difference in
model fit between Model 1 and Model 1a, Δ χ 2 (1, N = 356) = 5.440, p < 0.05, indicating that the effect of maternal depressive symptoms on peer social preference was only partially mediated through maternal wa
model fit between
Model 1 and Model 1a, Δ χ 2 (1, N = 356) = 5.440, p < 0.05, indicating that the effect of maternal depressive symptoms on peer social preference was only partially mediated through maternal wa
Model 1 and
Model 1a, Δ χ 2 (1, N = 356) = 5.440, p < 0.05, indicating that the effect of maternal depressive symptoms on peer social preference was only partially mediated through maternal wa
Model 1a, Δ χ 2 (1, N = 356) = 5.440, p < 0.05, indicating that the effect of maternal
depressive symptoms on peer social preference was only partially mediated through maternal warmth.
We also compared this
model with a model in which the direct effect of maternal depressive symptoms on children's social preference was set at zero (Model
model with a
model in which the direct effect of maternal depressive symptoms on children's social preference was set at zero (Model
model in which the direct effect of maternal
depressive symptoms on children's social preference was set at zero (
ModelModel 1a).
We also compared these
models with a
model (Model 2a) in which the direct effect of maternal depressive symptoms on peer social preference was set at
model (
Model 2a) in which the direct effect of maternal depressive symptoms on peer social preference was set at
Model 2a) in which the direct effect of maternal
depressive symptoms on peer social preference was set at zero.