scholarly journals Network analysis of depression and anxiety symptom relationships in a psychiatric sample

2016 ◽  
Vol 46 (16) ◽  
pp. 3359-3369 ◽  
Author(s):  
C. Beard ◽  
A. J. Millner ◽  
M. J. C. Forgeard ◽  
E. I. Fried ◽  
K. J. Hsu ◽  
...  

BackgroundResearchers have studied psychological disorders extensively from a common cause perspective, in which symptoms are treated as independent indicators of an underlying disease. In contrast, the causal systems perspective seeks to understand the importance of individual symptoms and symptom-to-symptom relationships. In the current study, we used network analysis to examine the relationships between and among depression and anxiety symptoms from the causal systems perspective.MethodWe utilized data from a large psychiatric sample at admission and discharge from a partial hospital program (N = 1029, mean treatment duration = 8 days). We investigated features of the depression/anxiety network including topology, network centrality, stability of the network at admission and discharge, as well as change in the network over the course of treatment.ResultsIndividual symptoms of depression and anxiety were more related to other symptoms within each disorder than to symptoms between disorders. Sad mood and worry were among the most central symptoms in the network. The network structure was stable both at admission and between admission and discharge, although the overall strength of symptom relationships increased as symptom severity decreased over the course of treatment.ConclusionsExamining depression and anxiety symptoms as dynamic systems may provide novel insights into the maintenance of these mental health problems.

2018 ◽  
Vol 53 (8) ◽  
pp. 471-477 ◽  
Author(s):  
Astrid Junge ◽  
Birgit Prinz

BackgroundInformation on the prevalence of mental health problems of elite athletes is inconclusive, most probably due to methodological limitations, such as low response rates, heterogeneous samples.AimsTo evaluate the prevalence and risk factors of depression and anxiety symptoms in high-level female football players.MethodsFemale football players of 10 German first league (Bundesliga) and 7 lower league teams were asked to answer a questionnaire on players’ characteristics, the Center of Epidemiologic Studies Depression Scale (CES-D) and the Generalised Anxiety Disorder (GAD-7) scale.ResultsA total of 290 players (184 first and 106 lower league players) took part in the study. The CES-D score indicated mild to moderate symptoms of depression in 48 (16.6%) and severe symptoms in 41 (14.1%) players. The GAD-7 score indicated an at least moderate generalised anxiety disorder in 24 (8.3%) players. The prevalence of depression symptoms and generalised anxiety disorders was similar to the female general population of similar age. However, significantly more second league players reported symptoms of depression than first league players, and thus the prevalence of depression symptoms in second league players was higher than in the general population. Only a third of the 45 (15.7%) players who stated that they currently wanted or needed psychotherapeutic support received it.ConclusionThe prevalence of depression and generalised anxiety symptoms in elite football players is influenced by personal and sport-specific variables. It is important to raise awareness of athletes’ mental health problems in coaches and team physicians, to reduce stigma and to provide low-threshold treatment.


2020 ◽  
Author(s):  
Tom L Osborn ◽  
Stephanie Campbell ◽  
David Ndetei ◽  
John R. Weisz

Adolescent depression and anxiety—which are linked with many negative life outcomes—are prevalent around the world, particularly in low-income countries such as those in Sub Saharan Africa (SSA). We used network analysis to examine the topology, stability, and centrality of depression and anxiety symptoms. We analyzed data from a large community sample (N = 2,192) of Kenyan adolescents aged 13-18, using the Patient Health Questionnaire and the Generalized Anxiety Disorder Screener. We identified the central symptoms of the depression and anxiety symptom networks, and we compared the structure and connectivity of these networks between low-symptom and elevated-symptom sub-samples. Our findings indicate the most central depression symptoms were “self-blame” and “depressed mood”, while the strongest depression symptom associations were “self-blame” ––“depressed mood” and “trouble concentrating” ––“little interest/pleasure”. Similarly, the most central anxiety symptoms were “too much worry” and “uncontrollable worry”, while strongest anxiety symptom associations were “too much worry” ––“uncontrollable worry” and “trouble relaxing” ––“restlessness”. We found a statistical difference in the network structure between low-symptom and elevated-symptom adolescents. The low-symptom sample had higher network connectivity scores for both depression (global strength difference = 0.30; low-symptom = 0.49; high-symptom = 0.19; p = .003) and anxiety symptoms (global strength difference = 1.04; low-symptom = 1.57; high-symptom = 0.53; p < .001). This is the first report that uses network analysis techniques to identify central symptoms of adolescent depression and anxiety in SSA. Our findings illustrate how network analysis may inform understanding of psychopathology within cultures and suggest promising treatment targets.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tian Qi ◽  
Ting Hu ◽  
Qi-Qi Ge ◽  
Xiao-Na Zhou ◽  
Jia-Mei Li ◽  
...  

Abstract Background The COVID-19 pandemic has lasted for more than 1 year, causing far-reaching and unprecedented changes in almost all aspects of society. This study aimed to evaluate the long-term consequences of the COVID-19 pandemic on depression and anxiety, and explore the factors associated with it. Methods A cross-sectional study using an online survey was conducted to assess mental health problems from February 2 to February 9, 2021 by using patient health questionnaire-9 (PHQ-9) and generalized anxiety disorder-7 (GAD-7). The insomnia severity index (ISI), demographic data and COVID-19 related variables were measured by a self-designed questionnaire. The factors associated with depressive and anxiety symptoms were identified by Pearson chi-square test and binary logistic regression analysis. Results In the study that 1171 participants enrolled, the overall prevalence of depressive and anxiety symptoms among general people was 22.6 and 21.4% respectively in the present study. Living alone was a potential risk factor for depressive symptoms, while regular exercises was a potential protective factor. The prevalence of depressive and anxiety symptoms was significantly associated with the severity of insomnia symptoms and the negative feelings about pandemic. Conclusion COVID-19 pandemic- related chronic stress has brought about profound impacts on long-term mental health in the general population. The level of insomnia and a negative attitude towards the pandemic are significantly correlated with unfavorable mental health. However, we failed to found a significant association of age and gender with the mental health symptoms, although they were recognized as well-established risk factors during the outbreak by some other studies. This discrepancy may be because the acute and chronic effects of the pandemic are influenced by different factors, which reminds that more attention should be paid to the intrinsic psychological factors and physical reactions towards COVID-19.


2020 ◽  
Author(s):  
Anita Lungu ◽  
Janie Jihee Jun ◽  
Okhtay Azarmanesh ◽  
Yan Leykin ◽  
Connie E-Jean Chen

BACKGROUND The past few decades saw considerable advances in research and dissemination of evidence-based psychotherapies, yet available treatment resources are not able to meet the high need for care for individuals suffering from depression or anxiety. Blended care psychotherapy, which combines the strengths of therapist-led and internet interventions, can narrow this gap and be clinically effective and efficient, but has rarely been evaluated outside of controlled research settings. OBJECTIVE This study evaluated the effectiveness of a blended care intervention (video-based cognitive behavior therapy and internet intervention) under real-world conditions. METHODS This is a pragmatic retrospective cohort analysis of 385 participants with clinical range depression and/or anxiety symptoms at baseline, measured using Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7), who enrolled in blended care psychotherapy treatment. Participants resided in the United States and had access to the blended care intervention as a mental health benefit offered through their employers. Levels of depression and anxiety were tracked throughout treatment. Hierarchical linear modeling was used to examine the change in symptoms over time. The effects of age, gender, and providers on participants’ symptom change trajectories were also evaluated. Paired sample t-tests were also conducted, and rates of positive clinical change and clinically significant improvement were calculated. RESULTS The average depression and anxiety symptoms at 6 weeks after the start of treatment were 5.94 and 6.57, respectively. There were significant linear effects of time on both symptoms of depression and anxiety (β=–.49, <i>P</i>&lt;.001 and β=–.64, <i>P</i>&lt;.001). The quadratic effect was also significant for both symptoms of depression and anxiety (β=.04, P&lt;.001 for both), suggesting a decelerated decrease in symptoms over time. Approximately 73% (n=283) of all 385 participants demonstrated reliable improvement, and 83% (n=319) recovered on either the PHQ-9 or GAD-7 measures. Large effect sizes were observed on both symptoms of depression (Cohen d=1.08) and of anxiety (d=1.33). CONCLUSIONS Video blended care cognitive behavioral therapy interventions can be effective and efficient in treating symptoms of depression and anxiety in real-world conditions. Future research should investigate the differential and interactive contribution of the therapist-led and digital components of care to patient outcomes to optimize care.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S45-S45
Author(s):  
Courtney J Bolstad ◽  
Anisha L Thomas ◽  
Michael R Nadorff

Abstract Symptoms of insomnia are associated with symptoms of depression and anxiety in older adults, yet less is known about the impact of specific forms of insomnia (i.e. onset, maintenance, and terminal insomnia). We explored how insomnia type predicted symptoms of anxiety and depression in older adults (n = 133; mean age 69, range 65-89). We hypothesized that onset and maintenance insomnia would have stronger relations to depression and anxiety than terminal insomnia. Regression analyses indicated that onset insomnia was the only significant predictor of anxiety symptoms, and maintenance was the only significant predictor of depressive symptoms. Thus, our findings suggest that despite overlap between depression and anxiety, insomnia may have different mechanisms of affecting each disorder. Implications for the treatment of anxiety and depressive symptoms by addressing insomnia problems will be discussed.


2017 ◽  
Vol 47 (10) ◽  
pp. 1794-1805 ◽  
Author(s):  
J. R. Vittengl

BackgroundHigh neuroticism is a well-established risk for present and future depression and anxiety, as well as an emerging target for treatment and prevention. The current analyses tested the hypothesis that physical, social and socio-economic disadvantages each amplify risks from high neuroticism for longitudinal increases in depression and anxiety symptoms.MethodA national sample of adults (n = 7108) provided structured interview and questionnaire data in the Midlife Development in the United States Survey. Subsamples were reassessed roughly 9 and 18 years later. Time-lagged multilevel models predicted changes in depression and anxiety symptom intensity across survey waves.ResultsHigh neuroticism predicted increases in a depression/anxiety symptom composite across retest intervals. Three disadvantage dimensions – physical limitations (e.g. chronic illness, impaired functioning), social problems (e.g. less social support, more social strain) and low socio-economic status (e.g. less education, lower income) – each moderated risks from high neuroticism for increases in depression and anxiety symptoms. Collectively, high scores on the three disadvantage dimensions amplified symptom increases attributable to high neuroticism by 0.67 standard deviations. In contrast, neuroticism was not a significant risk for increases in symptoms among participants with few physical limitations, few social problems or high socio-economic status.ConclusionsRisks from high neuroticism are not shared equally among adults in the USA. Interventions preventing or treating depression or anxiety via neuroticism could be targeted toward vulnerable subpopulations with physical, social or socio-economic disadvantages. Moreover, decreasing these disadvantages may reduce mental health risks from neuroticism.


2018 ◽  
Vol 49 (2) ◽  
pp. 314-324 ◽  
Author(s):  
Kathryn E. Smith ◽  
Tyler B. Mason ◽  
Ross D. Crosby ◽  
Li Cao ◽  
Rachel C. Leonard ◽  
...  

AbstractBackgroundNetwork analysis is an emerging approach in the study of psychopathology, yet few applications have been seen in eating disorders (EDs). Furthermore, little research exists regarding changes in network strength after interventions. Therefore the present study examined the network structures of ED and co-occurring depression and anxiety symptoms before and after treatment for EDs.MethodParticipants from residential or partial hospital ED treatment programs (N = 446) completed assessments upon admission and discharge. Networks were estimated using regularized Graphical Gaussian Models using 38 items from the Eating Disorders Examination-Questionnaire, Quick Inventory of Depressive Symptomatology, and State-Trait Anxiety Inventory.ResultsED symptoms with high centrality indices included a desire to lose weight, guilt about eating, shape overvaluation, and wanting an empty stomach, while restlessness, self-esteem, lack of energy, and feeling overwhelmed bridged ED to depression and anxiety symptoms. Comparisons between admission and discharge networks indicated the global network strength did not change significantly, though symptom severity decreased. Participants with denser networks at admission evidenced less change in ED symptomatology during treatment.ConclusionsFindings suggest that symptoms related to shape and weight concerns and guilt are central ED symptoms, while physical symptoms, self-esteem, and feeling overwhelmed are links that may underlie comorbidities in EDs. Results provided some support for the validity of network approaches, in that admission networks conveyed prognostic information. However, the lack of correspondence between symptom reduction and change in network strength indicates that future research is needed to examine network dynamics in the context of intervention and relapse prevention.


2016 ◽  
Vol 29 (3) ◽  
pp. 697-710 ◽  
Author(s):  
Evin Aktar ◽  
Cristina Colonnesi ◽  
Wieke de Vente ◽  
Mirjana Majdandžić ◽  
Susan M. Bögels

AbstractThe present study investigated the associations of mothers' and fathers' lifetime depression and anxiety symptoms, and of infants' negative temperament with parents' and infants' gaze, facial expressions of emotion, and synchrony. We observed infants' (age between 3.5 and 5.5 months, N = 101) and parents' gaze and facial expressions during 4-min naturalistic face-to-face interactions. Parents' lifetime symptoms of depression and anxiety were assessed with clinical interviews, and infants' negative temperament was measured with standardized observations. Parents with more depressive symptoms and their infants expressed less positive and more neutral affect. Parents' lifetime anxiety symptoms were not significantly related to parents' expressions of affect, while they were linked to longer durations of gaze to parent, and to more positive and negative affect in infants. Parents' lifetime depression or anxiety was not related to synchrony. Infants' temperament did not predict infants' or parents' interactive behavior. The study reveals that more depression symptoms in parents are linked to more neutral affect from parents and from infants during face-to-face interactions, while parents' anxiety symptoms are related to more attention to parent and less neutral affect from infants (but not from parents).


2012 ◽  
Vol 22 (2) ◽  
pp. 173-189 ◽  
Author(s):  
Leanne Lester ◽  
Julian Dooley ◽  
Donna Cross ◽  
Thérèse Shaw

The transition period from primary to secondary school is a critical time in adolescent development. The high prevalence of adolescent mental health problems makes understanding the causal pathways between peer victimisation and internalising symptoms an important priority during this time. This article utilises data collected from self-completion questionnaires four times over 3 years from 3,459 students’ aged 11–14 to examine directional relationships among adolescents as they transition from primary to secondary school, and investigates gender differences in these associations. The findings suggest depression in males is both a precedent and antecedent for victimisation over the transition period, whereas for females depression is an antecedent only. Anxiety is a both a precedent and antecedent for victimisation for males and females. To maintain emotional wellbeing and prevent peer victimisation, interventions prior to and during this transition period are critical, especially among adolescents experiencing symptoms of depression and anxiety.


Sign in / Sign up

Export Citation Format

Share Document