scholarly journals The Replicability and Generalizability of Internalizing Symptom Networks Across Five Samples

2019 ◽  
Author(s):  
Carter J. Funkhouser ◽  
Kelly Correa
Keyword(s):  
Network Structure ◽  
Internalizing Symptoms ◽  
Rank Order ◽  
Network Models ◽  
Clinical Samples ◽  
Cross Sectional ◽  
Total N ◽  
Correlation Networks ◽  
Global Strength ◽  
Central Symptom

The popularity of network analysis in psychopathology research has increased exponentially in recent years. Yet, little research has examined the replicability of cross-sectional psychopathology network models, and those that have used single items for symptoms rather than multi-item scales. The present study therefore examined the replicability and generalizability of regularized partial correlation networks of internalizing symptoms within and across five samples (total N = 2,573) using the Inventory for Depression and Anxiety Symptoms, a factor analytically-derived measure of individual internalizing symptoms. As different metrics may yield different conclusions about the replicability of network parameters, we examined both global and specific metrics of similarity between networks. Correlations within and between nonclinical samples suggested considerable global similarities in network structure (rss = .53-.87) and centrality strength (rss = .37-.86), but weaker similarities in network structure (rss = .36-.66) and centrality (rss = .04-.54) between clinical and nonclinical samples. Global strength (i.e., connectivity) did not significantly differ across all five networks and few edges (0-5.5%) significantly differed between networks. Specific metrics of similarity indicated that, on average, approximately 80% of edges were consistently estimated within and between all five samples. The most central symptom (i.e., dysphoria) was consistent within and across samples, but there were few other matches in centrality rank-order. In sum, there were considerable similarities in network structure, the presence and sign of individual edges, and the most central symptom within and across internalizing symptom networks estimated from nonclinical samples, but global metrics suggested network structure and symptom centrality had weak to moderate generalizability from nonclinical to clinical samples.

scholarly journals Dietary patterns and internalizing symptoms in children and adolescents: A meta-analysis

2021 ◽  
pp. 000486742110314
Author(s):  
Laura Orlando ◽  
Katarina A Savel ◽  
Sheri Madigan ◽  
Marlena Colasanto ◽  
Daphne J Korczak
Keyword(s):  
Depressive Symptoms ◽  
Confidence Interval ◽  
Children And Adolescents ◽  
Dietary Patterns ◽  
Internalizing Symptoms ◽  
Parent Report ◽  
Self Report ◽  
Effect Sizes ◽  
Clinical Samples ◽  
Cross Sectional

Context: Studies of child and adolescent internalizing symptoms and dietary pattern have produced mixed results. Objectives: To quantify the association between dietary patterns and internalizing symptoms, including depression, in children and adolescents. Data sources: Embase, PsycINFO, MEDLINE, Web of Science and Cochrane up to March 2021. Study selection: Observational studies and randomized controlled trials with mean age ⩽ 18 years, reporting associations between diet patterns and internalizing symptoms. Data extraction: Mean effect sizes and 95% confidence intervals were determined under a random-effects model. Results: Twenty-six studies were cross-sectional, 12 were prospective, and 1 used a case-control design. The total number of participants enrolled ranged from 73,726 to 116,546. Healthy dietary patterns were negatively associated with internalizing ( r = –0.07, p < 0.001, 95% confidence interval [–0.12, 0.06]) and depressive symptoms ( r = –0.10, p < 0.001, 95% confidence interval [–0.18, –0.08]). Effect sizes were larger for studies of healthy dietary patterns and internalizing and depressive symptoms using self-report versus parent-report measures, as well as in cross-sectional studies of healthy dietary patterns and depression compared to prospective studies. Unhealthy dietary patterns were positively associated with internalizing ( r = 0.09, p < 0.001, 95% confidence interval [0.06, 0.14]) and depressive symptoms ( r = 0.10, p < 0.01, 95% CI [0.05, 0.17]). Larger effect sizes were observed for studies of unhealthy dietary patterns and internalizing and depressive symptoms using self-report versus parent-report measures. Limitations: A lack of studies including clinical samples and/or physician diagnosis, and a paucity of studies in which anxiety symptoms were the primary mental health outcome. Conclusion: Greater depression and internalizing symptoms are associated with greater unhealthy dietary patterns and with lower healthy dietary intake among children and adolescents.

scholarly journals Replicability and generalizability of PTSD networks: A cross-cultural multisite study of PTSD symptoms in four trauma patient samples

2017 ◽  
Author(s):  
Eiko I Fried
Keyword(s):  
Cross Cultural ◽  
Small Samples ◽  
Clinical Samples ◽  
Network Structures ◽  
Ptsd Symptoms ◽  
Correlation Matrices ◽  
Total N ◽  
Correlation Networks ◽  
Code Model ◽  
Symptom Profiles

The growing literature conceptualizing mental disorders like Posttraumatic Stress Disorder (PTSD) as networks of interacting symptoms faces three key challenges. Prior studies predominantly used (a) small samples with low power for precise estimation, (b) non-clinical samples, and (c) single samples. This renders network structures in clinical data, and the extent to which networks replicate across datasets, unknown. To overcome these limitations, the present cross-cultural multisite study estimated regularized partial correlation networks of 16 PTSD symptoms across four datasets of traumatized patients receiving treatment for PTSD (total N=2,782). Despite differences in culture, trauma-type and severity of the samples, considerable similarities emerged, with moderate to high correlations between symptom profiles (0.43-0.82), network structures (0.62-0.74), and centrality estimates (0.63-0.75). We discuss the importance of future replicability efforts to improve clinical psychological science, and provide code, model output, and correlation matrices to make the results of this paper fully reproducible.

scholarly journals Network Analysis of Depressive Symptoms Among Residents of Wuhan in the Later Stage of the COVID-19 Pandemic

2021 ◽  
Vol 12 ◽  
Author(s):  
Na Zhao ◽  
Wen Li ◽  
Shu-Fang Zhang ◽  
Bing Xiang Yang ◽  
Sha Sha ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Network Analysis ◽  
Network Structure ◽  
Sleep Problems ◽  
Cross Sectional Study ◽  
Snowball Sampling ◽  
Cross Sectional ◽  
Sad Mood ◽  
Global Strength ◽  
Motor Disturbances

Background: Depression has been a common mental health problem during the COVID-19 epidemic. From a network perspective, depression can be conceptualized as the result of mutual interactions among individual symptoms, an approach that may elucidate the structure and mechanisms underlying this disorder. This study aimed to examine the structure of depression among residents in Wuhan, the epicenter of the COVID-19 outbreak in China, in the later stage of the COVID-19 pandemic.Methods: A total of 2,515 participants were recruited from the community via snowball sampling. The Patient Health Questionnaire was used to assess self-reported depressive symptoms with the QuestionnaireStar program. The network structure and relevant centrality indices of depression were examined in this sample.Results: Network analysis revealed Fatigue, Sad mood, Guilt and Motor disturbances as the most central symptoms, while Suicide and Sleep problems had the lowest centrality. No significant differences were found between women and men regarding network structure (maximum difference = 0.11, p = 0.44) and global strength (global strength difference = 0.04; female vs. male: 3.78 vs. 3.83, p = 0.51), a finding that suggests there are no gender differences in the structure or centrality of depressive symptoms.Limitations: Due to the cross-sectional study design, causal relationships between these depressive symptoms or dynamic changes in networks over time could not be established.Conclusions: Fatigue, Sad mood, Guilt, and Motor disturbances should be prioritized as targets in interventions and prevention efforts to reduce depression among residents in Wuhan, in the later stage of the COVID-19 pandemic.

scholarly journals Response Styles Theory and Internalizing Symptoms in Adolescence: A Network Approach

2020 ◽  
Author(s):  
Daniel Moriarity
Keyword(s):  
Internalizing Symptoms ◽  
Network Models ◽  
Response Style ◽  
Response Styles ◽  
Self Concept ◽  
Depression Symptoms ◽  
Cross Sectional ◽  
Multivariate Tests ◽  
Fine Grained ◽  
Response Styles Theory

Background: Response styles theory is a well-supported etiological theory of internalizing psychopathology. However, evidence indicates that the three response styles (rumination, problem-solving, and distraction) are not orthogonal, highlighting the importance of multivariate tests of this theory. Further, different types of symptoms within a disorder can have different risk factors, suggesting that refinement of theory and response style-focused interventions is possible with the help of analyses that go beyond symptom total scores or diagnoses. Methods: A sample of 567 participants (Mage=12.6 years, 54.1% female) completed measures of response styles, depression symptoms, and anxiety symptoms. A subset of 360 completed these measures a second time (mean/median months apart=18.2/12.4). Internalizing symptoms and response styles were modeled in cross-sectional and cross-lagged panel network models. Results: Rumination was the response style most comorbid with concurrent internalizing symptoms. Social anxiety, negative self-concept, and dysphoria were the symptom domains most comorbid with a classically-defined maladaptive response profile. Distraction was the response style most strongly predictive of future symptoms, whereas negative self-concept, somatic depression, and somatic anxiety were the strongest predictors of future response styles. Conversely, rumination was the response style most strongly predicted by past internalizing symptoms and dysphoria was the symptom subtype most strongly predicted by past response styles. Conclusions: Differential prospective relationships between response styles and symptom subtypes suggest that response style theory, and treatments informed by it, should be conceptualized transdiagnostically and at a more fine-grained level than diagnostic categories.

External Validity of SCORS-G Ratings of Thematic Apperception Test Narratives in a Sample of Outpatients and Inpatients

2015 ◽  
Vol 36 (1) ◽  
pp. 58-81 ◽  
Author(s):  
Michelle B. Stein ◽  
Jenelle Slavin-Mulford ◽  
Caleb J. Siefert ◽  
Samuel Justin Sinclair ◽  
Michaela Smith ◽  
...  
Keyword(s):  
Life Events ◽  
Psychiatric Hospitalization ◽  
Clinical Care ◽  
Thematic Apperception Test ◽  
Clinical Samples ◽  
Cross Sectional ◽  
Conduct Disordered ◽  
Global Ratings ◽  
Thematic Apperception ◽  
History Of

Abstract. The Social Cognition and Object Relations Scale-Global Ratings Method (SCORS-G; Stein, Hilsenroth, Slavin-Mulford, & Pinsker-Aspen, 2011 ) is a reliable system for coding narrative data, such as Thematic Apperception Test (TAT) stories. This study employs a cross-sectional, correlational design to examine associations between SCORS-G dimensions and life events in two clinical samples. Samples were composed of 177 outpatients and 57 inpatients who completed TAT protocols as part of routine clinical care. Two experienced raters coded narratives with the SCORS-G. Data on the following clinically relevant life events were collected: history of psychiatric hospitalization, suicidality, self-harming behavior, drug/alcohol abuse, conduct-disordered behavior, trauma, and education level. As expected, the clinical life event variable associated with the largest number of SCORS-G dimensions was Suicidality. Identity and Coherence of Self was related to self-harm history across samples. Emotional Investment in Relationships and Complexity of Representations were also associated with several life events. Clinical applications, limitations of the study, and future directions are reviewed.

Internalizing Behavior During the Transition from Childhood to Adolescence

2010 ◽  
Vol 26 (3) ◽  
pp. 187-193 ◽  
Author(s):  
Marc Vierhaus ◽  
Arnold Lohaus ◽  
Indra Shah
Keyword(s):  
Research Design ◽  
Internalizing Symptoms ◽  
Fourth Graders ◽  
Cross Sectional Study ◽  
Second Graders ◽  
Internalizing Behavior ◽  
Longitudinal Assessment ◽  
Sectional Study ◽  
Cross Sectional ◽  
The One

This investigation focuses on the question whether assessments of the development of internalizing behavior from childhood to adolescence are affected by the kind of research design (longitudinal versus cross-sectional). Two longitudinal samples of 432 second-graders and 366 fourth graders participated in a longitudinal study with subsequent measurements taken 1, 2, and 3 years later. A third sample consisting of 849 children covering the same range of grades participated in a cross-sectional study. The results show that the development of internalizing symptoms in girls – but not in boys – varies systematically with the research design. In girls, there is a decrease of internalizing symptoms (especially between the first two timepoints) in the longitudinal assessment, which may reflect, for example, the influence of strain during the first testing situation. Both longitudinal trajectories converge to a common trajectory from grade 2 to grade 7 when controlling for this “novelty-distress effect.” Moreover, when we control this effect, the slight but significant decrease characterizing the common trajectory becomes similar to the one obtained in the cross-sectional study. Therefore, trajectories based on longitudinal assessments may suggest more changes with regard to internalizing symptoms over time than actually take place, while trajectories based on cross-sectional data may be characterized by an increased level of internalizing symptoms. Theoretical and practical implications of these results are discussed.

Cognitive Performance and Neuro-Metabolites in HIV using 3T Magnetic Resonance Spectroscopy: A Cross-Sectional Study from India

2020 ◽  
Vol 18 ◽  
Author(s):  
Kartik Gupta ◽  
Shivabalan ◽  
Virendra Kumar ◽  
Surabhi Vyas ◽  
RM Pandey ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Magnetic Resonance ◽  
Magnetic Resonance Spectroscopy ◽  
Motor Skills ◽  
Cross Sectional Study ◽  
Resonance Spectroscopy ◽  
Sectional Study ◽  
Cross Sectional ◽  
Total N ◽  
Simple Motor

Background: Cognitive impairment in patients with human immunodeficiency virus (HIV) is associated with higher morbidity. The prevalence of and the metabolite changes in the brain associated with cognitive impairment in anti-retroviral therapy naïve patients with HIV is unknown. Objective: To estimate the prevalence of, and the neurometabolites associated with cognitive impairment in antiretroviral therapy (ART) naïve patients with HIV. Methods: We conducted a cross-sectional study among ART naïve patients with HIV aged 18-50 years in a tertiary care center in India. Cognition was tested using the Post Graduate Institute battery of brain dysfunction across five domains; memory, attentioninformation processing, abstraction executive, complex perceptual, and simple motor skills. We assessed the total N-acetyl aspartyl (tNAA), creatine (tCr) and glutamate + glutamine (Glx) using 3T magnetic resonance spectroscopy. Cognitive impairment was defined as an impairment in ≥2 domains. Results: Among 43 patients eligible for this study, the median age was 32 years (IQR 29, 40) and 30% were women. Median CD4 count and viral load were 317 cells/µL (IQR 157, 456) and 9.3 copies/ µL (IQR 1.4, 38), respectively. Impairment in at least one cognitive domain was present in 32 patients (74.4%). Impairment in simple motor skills and memory was present in 46.5% and 44% of patients, respectively. Cognitive impairment, defined by impairment in ≥2 domains, was found in 22 (51.2%) patients. There was a trend towards higher concentration of tNAA (7.3 vs. 7.0 mmol/kg), tGlx (9.1 vs. 8.2 mmol/kg), and tCr (5.5 vs. 5.2 mmol/kg) in the frontal lobe of patients with cognitive impairment vs. without cognitive impairment but it did not reach statistical significance (p>0.05 for all). There was no difference in the concentration of these metabolites in the two groups in the basal ganglia. Conclusions: There is a high prevalence of cognitive impairment in ART naïve patients with HIV. There is no difference in metabolites in patients with or without cognitive impairment. Further studies, with longitudinal follow-up, are required to understand the underlying pathophysiological mechanisms.

Psychological networks in clinical populations: investigating the consequences of Berkson's bias

2019 ◽  
pp. 1-9 ◽  
Author(s):  
Jill de Ron ◽  
Eiko I. Fried ◽  
Sacha Epskamp
Keyword(s):  
Network Structure ◽  
Binary Data ◽  
Ordinal Data ◽  
Graphical Model ◽  
Rating Scale ◽  
Network Models ◽  
Simulation Studies ◽  
Potential Threat ◽  
Sum Score ◽  
Research Populations

Abstract Background In clinical research, populations are often selected on the sum-score of diagnostic criteria such as symptoms. Estimating statistical models where a subset of the data is selected based on a function of the analyzed variables introduces Berkson's bias, which presents a potential threat to the validity of findings in the clinical literature. The aim of the present paper is to investigate the effect of Berkson's bias on the performance of the two most commonly used psychological network models: the Gaussian Graphical Model (GGM) for continuous and ordinal data, and the Ising Model for binary data. Methods In two simulation studies, we test how well the two models recover a true network structure when estimation is based on a subset of the data typically seen in clinical studies. The network is based on a dataset of 2807 patients diagnosed with major depression, and nodes in the network are items from the Hamilton Rating Scale for Depression (HRSD). The simulation studies test different scenarios by varying (1) sample size and (2) the cut-off value of the sum-score which governs the selection of participants. Results The results of both studies indicate that higher cut-off values are associated with worse recovery of the network structure. As expected from the Berkson's bias literature, selection reduced recovery rates by inducing negative connections between the items. Conclusion Our findings provide evidence that Berkson's bias is a considerable and underappreciated problem in the clinical network literature. Furthermore, we discuss potential solutions to circumvent Berkson's bias and their pitfalls.

scholarly journals Modelling community structure and temporal spreading on complex networks

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Vesa Kuikka
Keyword(s):  
Community Structure ◽  
Complex Networks ◽  
Community Detection ◽  
Network Structure ◽  
Network Connectivity ◽  
Network Models ◽  
Building Blocks ◽  
Detection Algorithm ◽  
Research Area ◽  
Detection Methods

AbstractWe present methods for analysing hierarchical and overlapping community structure and spreading phenomena on complex networks. Different models can be developed for describing static connectivity or dynamical processes on a network topology. In this study, classical network connectivity and influence spreading models are used as examples for network models. Analysis of results is based on a probability matrix describing interactions between all pairs of nodes in the network. One popular research area has been detecting communities and their structure in complex networks. The community detection method of this study is based on optimising a quality function calculated from the probability matrix. The same method is proposed for detecting underlying groups of nodes that are building blocks of different sub-communities in the network structure. We present different quantitative measures for comparing and ranking solutions of the community detection algorithm. These measures describe properties of sub-communities: strength of a community, probability of formation and robustness of composition. The main contribution of this study is proposing a common methodology for analysing network structure and dynamics on complex networks. We illustrate the community detection methods with two small network topologies. In the case of network spreading models, time development of spreading in the network can be studied. Two different temporal spreading distributions demonstrate the methods with three real-world social networks of different sizes. The Poisson distribution describes a random response time and the e-mail forwarding distribution describes a process of receiving and forwarding messages.

scholarly journals Sex differences in the phylum‐level human gut microbiota composition

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alexander Koliada ◽  
Vladislav Moseiko ◽  
Mariana Romanenko ◽  
Oleh Lushchak ◽  
Nadiia Kryzhanovska ◽  
...  
Keyword(s):  
Sex Differences ◽  
Gut Microbiota ◽  
Age Groups ◽  
Microbiota Composition ◽  
Human Gut ◽  
Cross Sectional ◽  
Total N ◽  
Human Gut Microbiota ◽  
Gut Microbiota Composition

Abstract Background Evidence was previously provided for sex-related differences in the human gut microbiota composition, and sex-specific discrepancy in hormonal profiles was proposed as a main determinant of these differences. On the basis of these findings, the assumption was made on the role of microbiota in the sexual dimorphism of human diseases. To date, sex differences in fecal microbiota were demonstrated primarily at lower taxonomic levels, whereas phylum-level differences between sexes were reported in few studies only. In the present population-based cross-sectional research, sex differences in the phylum-level human gut microbiota composition were identified in a large (total n = 2301) sample of relatively healthy individuals from Ukraine. Results Relative abundances of Firmicutes and Actinobacteria, as determined by qRT-PCR, were found to be significantly increased, while that of Bacteroidetes was significantly decreased in females compared to males. The Firmicutes to Bacteroidetes (F/B) ratio was significantly increased in females compared to males. Females had 31 % higher odds of having F/B ratio more than 1 than males. This trend was evident in all age groups. The difference between sexes was even more pronounced in the elder individuals (50+): in this age group, female participants had 56 % higher odds of having F/B ratio > 1 than the male ones. Conclusions In conclusion, sex-specific differences in the phylum-level intestinal microbiota composition were observed in the Ukraine population. The F/B ratio was significantly increased in females compared to males. Further investigation is needed to draw strong conclusions regarding the mechanistic basis for sex-specific differences in the gut microbiota composition and regarding the role of these differences in the initiation and progression of human chronic diseases.

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