scholarly journals T114. THE CAUSAL DYNAMICS OF PARANOIA IN PATIENTS WITH SCHIZOPHRENIA: A THEORY DRIVEN NETWORK ANALYSIS

2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S274-S274
Author(s):  
Jessica Bird ◽  
Robin Evans ◽  
Kathryn M Taylor ◽  
Andrew Molodynski ◽  
Felicity Waite ◽  
...  
Keyword(s):  
Complex System ◽  
Cognitive Model ◽  
Well Being ◽  
Directed Acyclic Graphs ◽  
Self Report ◽  
Persecutory Delusions ◽  
Causal Pathways ◽  
Acyclic Graphs ◽  
Network Approaches ◽  
Analytic Reasoning

Abstract Background A cognitive account identifies six key psychological maintenance factors for persecutory delusions. However, a complex system of causation is likely where these factors interact in their influence on paranoid ideas. We set out to evaluate the causal dynamics of paranoia with theory-driven network approaches. Methods 1809 patients with non-affective psychosis attending UK mental health services completed assessments of paranoia, hallucinations, insomnia, self-esteem, worry, anxious avoidance, analytic reasoning, and psychological well-being. To assess causal patterns, we estimated, first, an undirected partial correlation network and then, second, adopted a Bayesian approach with Directed Acyclic Graphs to discover the directed causal pathways best supported by the data. Results The networks showed that with all other variables controlled, paranoia had direct causal interactions with hallucinations, negative self-beliefs, insomnia, worry, and avoidance. Hallucinations and negative self-beliefs were most directly linked to paranoia, whereas indirect paths had prominent influences on the causal effects for insomnia, worry, and avoidance. The direction of these interactions was uncertain, but negative self-beliefs and insomnia were more likely to influence paranoia than vice versa. Self-report reasoning was likely unrelated to paranoia once other factors were controlled. Causal factors were highly interconnected, with insomnia, negative self-beliefs, avoidance, and worry most directly linked to other variables. Most interactions were likely reciprocal, except for hallucinations which were unlikely to influence other variables and significantly caused by insomnia and avoidance. Discussion The findings are consistent with a complex system of interacting causation in the maintenance of paranoia. The patterns observed support the cognitive model of persecutory delusions, highlighting multiple pathways of causal interaction between paranoia and theoretically important factors. Interventions directly targeting these factors are likely to lead to multiple benefits, alleviating paranoia both directly and indirectly through connections with other causally related symptoms.

scholarly journals Cross-Sectional Model-Building for Research on Subjective Well-Being: Gaining Clarity on Control Variables

2021 ◽  
Author(s):  
David Bartram
Keyword(s):  
Model Building ◽  
Well Being ◽  
Directed Acyclic Graphs ◽  
Subjective Well Being ◽  
Social Scientists ◽  
Cross Sectional ◽  
Acyclic Graphs ◽  
Standard Set ◽  
Substantial Bias ◽  
Parsimonious Model

AbstractHappiness/well-being researchers who use quantitative analysis often do not give persuasive reasons why particular variables should be included as controls in their cross-sectional models. One commonly sees notions of a “standard set” of controls, or the “usual suspects”, etc. These notions are not coherent and can lead to results that are significantly biased with respect to a genuine causal relationship.This article presents some core principles for making more effective decisions of that sort.  The contribution is to introduce a framework (the “causal revolution”, e.g. Pearl and Mackenzie 2018) unfamiliar to many social scientists (though well established in epidemiology) and to show how it can be put into practice for empirical analysis of causal questions.  In simplified form, the core principles are: control for confounding variables, and do not control for intervening variables or colliders.  A more comprehensive approach uses directed acyclic graphs (DAGs) to discern models that meet a minimum/efficient criterion for identification of causal effects.The article demonstrates this mode of analysis via a stylized investigation of the effect of unemployment on happiness.  Most researchers would include other determinants of happiness as controls for this purpose.  One such determinant is income—but income is an intervening variable in the path from unemployment to happiness, and including it leads to substantial bias.  Other commonly-used variables are simply unnecessary, e.g. religiosity and sex.  From this perspective, identifying the effect of unemployment on happiness requires controlling only for age and education; a small (parsimonious) model is evidently preferable to a more complex one in this instance.

scholarly journals Highways to happiness for autistic adults? Perceived causal relations among clinicians

2019 ◽  
Author(s):  
Marie Katharina Deserno ◽  
Denny Borsboom ◽  
Sander Begeer ◽  
Riet van Bork ◽  
Max Hinne ◽  
...  
Keyword(s):  
Well Being ◽  
Quantitative Information ◽  
Self Report ◽  
Future Research ◽  
Clinical Expertise ◽  
Causal Relations ◽  
Psychological Phenomena ◽  
Causal Pathways ◽  
Client Data ◽  
Self Report Data

The network approach to psychological phenomena advances our understanding of the interrelations between autism and well-being. We use the Perceived Causal Relations methodology in order to (i) identify perceived causal pathways in the well-being system, (ii) validate networks based on self-report data, and (iii) quantify and integrate clinical expertise in autism research. Trained clinicians served as raters (N=29) completing 374 cause-effects ratings of 34 variables on well-being and symptomatology. A subgroup (N=16) of raters chose intervention targets in the resulting network which we found to match the respective centrality of nodes. Clinicians’ perception of causal relations was similar to the interrelatedness found in self-reported client data (N=323). We present a useful tool for translating clinical expertise into quantitative information enabling future research to integrate this in scientific studies.

scholarly journals The weeks before 100 persecutory delusions: the presence of many potential contributory causal factors

BJPsych Open ◽  
2019 ◽  
Vol 5 (5) ◽  
Author(s):  
Daniel Freeman ◽  
Anthony Morrison ◽  
Jessica C. Bird ◽  
Eleanor Chadwick ◽  
Emily Bold ◽  
...  
Keyword(s):  
Sleep Problems ◽  
Cognitive Model ◽  
Self Report ◽  
Poor Sleep ◽  
Subjective Experiences ◽  
Persecutory Delusions ◽  
Causal Factors ◽  
Self Confidence ◽  
Different Types ◽  
Aberrant Salience

Background The period before the formation of a persecutory delusion may provide causal insights. Patient accounts are invaluable in informing this understanding. Aims To inform the understanding of delusion formation, we asked patients about the occurrence of potential causal factors – identified from a cognitive model – before delusion onset. Method A total of 100 patients with persecutory delusions completed a checklist about their subjective experiences in the weeks before belief onset. The checklist included items concerning worry, images, low self-esteem, poor sleep, mood dysregulation, dissociation, manic-type symptoms, aberrant salience, hallucinations, substance use and stressors. Time to reach certainty in the delusion was also assessed. Results Most commonly it took patients several months to reach delusion certainty (n = 30), although other patients took a few weeks (n = 24), years (n = 21), knew instantly (n = 17) or took a few days (n = 6). The most frequent experiences occurring before delusion onset were: low self-confidence (n = 84); excessive worry (n = 80); not feeling like normal self (n = 77); difficulties concentrating (n = 77); going over problems again and again (n = 75); being very negative about the self (n = 75); images of bad things happening (n = 75); and sleep problems (n = 75). The average number of experiences occurring was high (mean 23.5, s.d. = 8.7). The experiences clustered into six main types, with patients reporting an average of 5.4 (s.d. = 1.0) different types. Conclusions Patients report numerous different experiences in the period before full persecutory delusion onset that could be contributory causal factors, consistent with a complex multifactorial view of delusion occurrence. This study, however, relied on retrospective self-report and could not determine causality. Declaration of interest None.

scholarly journals Mental well-being of the general population: direct and indirect effects of socioeconomic, relational and health factors

2021 ◽  
Author(s):  
Natalia Soldevila-Domenech ◽  
Carlos G. Forero ◽  
Itxaso Alayo ◽  
Jordina Capella ◽  
Joan Colom ◽  
...  
Keyword(s):  
Social Support ◽  
Well Being ◽  
Cross Sectional Study ◽  
Directed Acyclic Graphs ◽  
Gender Effects ◽  
Noticeable Effect ◽  
Cross Sectional ◽  
Acyclic Graphs ◽  
Health Factors ◽  
Mental Well Being

Abstract Purpose The aim of this study was to analyse the association between individual mental well-being and social, economic, lifestyle and health factors. Methods Cross-sectional study on a representative sample of 13,632 participants (> 15y/o) from the Catalan Health Interview Survey 2013–2016 editions. Mental well-being was assessed with the Warwick–Edinburg Mental Well-being Scale (WEMWBS). Linear regressions were fitted to associate well-being and sociodemographic, relational, lifestyle and health variables according to minimally sufficient adjustment sets identified using directed acyclic graphs. Predictors entered the model in blocks of variable types and analysed individually. Direct and total effects were estimated. Results Health factors significantly contributed to mental well-being variance. Presence of a mental disorder and self-reported health had the largest effect size (eta2 = 13.4% and 16.3%). The higher individual impact from a variable came from social support (β = − 12.8, SE = 0.48, eta2 = 6.3%). A noticeable effect gradient (eta2 = 4.2%) from low to high mental well-being emerged according to economic difficulties (from β = 1.59, SE = 0.33 for moderate difficulties to β = 6.02 SE = 0.55 for no difficulties). Younger age (β = 5.21, SE = 0.26, eta2 = 3.4%) and being men (β = 1.32, SE = 0.15, eta2 = 0.6%) were associated with better mental well-being. Direct gender effects were negligible. Conclusions This study highlights health and social support as the most associated factors with individual mental well-being over socioeconomic factors. Interventions and policies aimed to these factors for health promotion would improve population mental well-being.

scholarly journals Highways to happiness for autistic adults? Perceived causal relations among clinicians

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243298
Author(s):  
Marie K. Deserno ◽  
Denny Borsboom ◽  
Sander Begeer ◽  
Riet van Bork ◽  
Max Hinne ◽  
...  
Keyword(s):  
Well Being ◽  
Quantitative Information ◽  
Self Report ◽  
Future Research ◽  
Clinical Expertise ◽  
Causal Relations ◽  
Psychological Phenomena ◽  
Causal Pathways ◽  
Client Data ◽  
Self Report Data

The network approach to psychological phenomena advances our understanding of the interrelations between autism and well-being. We use the Perceived Causal Relations methodology in order to (i) identify perceived causal pathways in the well-being system, (ii) validate networks based on self-report data, and (iii) quantify and integrate clinical expertise in autism research. Trained clinicians served as raters (N = 29) completing 374 cause-effects ratings of 34 variables on well-being and symptomatology. A subgroup (N = 16) of raters chose intervention targets in the resulting network which we found to match the respective centrality of nodes. Clinicians’ perception of causal relations was similar to the interrelatedness found in self-reported client data (N = 323). We present a useful tool for translating clinical expertise into quantitative information enabling future research to integrate this in scientific studies.

The Relationship Between Hearing Loss Self-Management and Hearing Aid Benefit and Satisfaction

2019 ◽  
Vol 28 (2) ◽  
pp. 274-284 ◽  
Author(s):  
Elizabeth Convery ◽  
Gitte Keidser ◽  
Louise Hickson ◽  
Carly Meyer
Keyword(s):  
Decision Making ◽  
Hearing Loss ◽  
Hearing Aids ◽  
Clinical Decision Making ◽  
Hearing Aid ◽  
Well Being ◽  
Self Report ◽  
Self Management ◽  
Hearing Aid Benefit ◽  
The Relationship

Purpose Hearing loss self-management refers to the knowledge and skills people use to manage the effects of hearing loss on all aspects of their daily lives. The purpose of this study was to investigate the relationship between self-reported hearing loss self-management and hearing aid benefit and satisfaction. Method Thirty-seven adults with hearing loss, all of whom were current users of bilateral hearing aids, participated in this observational study. The participants completed self-report inventories probing their hearing loss self-management and hearing aid benefit and satisfaction. Correlation analysis was used to investigate the relationship between individual domains of hearing loss self-management and hearing aid benefit and satisfaction. Results Participants who reported better self-management of the effects of their hearing loss on their emotional well-being and social participation were more likely to report less aided listening difficulty in noisy and reverberant environments and greater satisfaction with the effect of their hearing aids on their self-image. Participants who reported better self-management in the areas of adhering to treatment, participating in shared decision making, accessing services and resources, attending appointments, and monitoring for changes in their hearing and functional status were more likely to report greater satisfaction with the sound quality and performance of their hearing aids. Conclusion Study findings highlight the potential for using information about a patient's hearing loss self-management in different domains as part of clinical decision making and management planning.

Talk or Walk? Gait Speed over Self-Report in Association with Cognitive Speed in Healthy Older Adults

GeroPsych ◽  
2019 ◽  
Vol 32 (1) ◽  
pp. 41-52
Author(s):  
Matthew C. Costello ◽  
Shane J. Sizemore ◽  
Kimberly E. O’Brien ◽  
Lydia K. Manning
Keyword(s):  
Older Adults ◽  
Older Adult ◽  
Gait Speed ◽  
Well Being ◽  
Self Report ◽  
Subjective Report ◽  
Healthy Older Adults ◽  
Relative Value ◽  
Cognitive Speed ◽  
Age Range

Abstract. This study explores the relative value of both subjectively reported cognitive speed and gait speed in association with objectively derived cognitive speed. It also explores how these factors are affected by psychological and physical well-being. A group of 90 cognitively healthy older adults ( M = 73.38, SD = 8.06 years, range = 60–89 years) were tested in a three-task cognitive battery to determine objective cognitive speed as well as measures of gait speed, well-being, and subjective cognitive speed. Analyses indicated that gait speed was associated with objective cognitive speed to a greater degree than was subjective report, the latter being more closely related to well-being than to objective cognitive speed. These results were largely invariant across the 30-year age range of our older adult sample.

Factorial Invariance of Child Self-Report Across English and Spanish Language Groups in a Hispanic Population Utilizing the PedsQL™ 4.0 Generic Core Scales

2010 ◽  
Vol 26 (3) ◽  
pp. 194-202 ◽  
Author(s):  
Daniel A. Newman ◽  
Christine A. Limbers ◽  
James W. Varni
Keyword(s):  
Health Care Services ◽  
Factor Model ◽  
Five Factor Model ◽  
Well Being ◽  
Factorial Invariance ◽  
Spanish Language ◽  
Self Report ◽  
Hispanic Population ◽  
Language Groups ◽  
Related Quality

The measurement of health-related quality of life (HRQOL) in children has witnessed significant international growth over the past decade in an effort to improve pediatric health and well-being, and to determine the value of health-care services. In order to compare international HRQOL research findings across language groups, it is important to demonstrate factorial invariance, i.e., that the items have an equivalent meaning across the language groups studied. This study examined the factorial invariance of child self-reported HRQOL across English- and Spanish-language groups in a Hispanic population of 2,899 children ages 8–18 utilizing the 23-item PedsQL™ 4.0 Generic Core Scales. Multigroup confirmatory factor analysis (CFA) was performed specifying a five-factor model across language groups. The findings support an equivalent 5-factor structure across English- and Spanish-language groups. Based on these data, it can be concluded that children across the two languages studied interpreted the instrument in a similar manner. The multigroup CFA statistical methods utilized in the present study have important implications for cross-cultural assessment research in children in which different language groups are compared.

Positive risk-taking: Mixed-methods validation of a self-report scale and evidence for genetic links to personality and negative risk-taking

2019 ◽  
Author(s):  
Megan Wales Patterson ◽  
Lilla Pivnick ◽  
Frank D Mann ◽  
Andrew D Grotzinger ◽  
Kathryn C Monahan ◽  
...  
Keyword(s):  
Youth Development ◽  
Risk Taking ◽  
Sensation Seeking ◽  
Empirical Work ◽  
Well Being ◽  
Population Based ◽  
Self Report ◽  
Personality Factors ◽  
Positive Behaviors ◽  
Adolescent Risk

Adolescents are more likely to take risks. Typically, research on adolescent risk-taking has focused on its negative health and societal consequences. However, some risk-taking behaviors might be positive, defined here as behavior that does not violate the rights of others and that might advance socially-valuable goals. Empirical work on positive risk-taking has been limited by measurement challenges. In this study, we elicited adolescents’ free responses (n = 75) about a time they took a risk. Based on thematic coding, we identified positive behaviors described as risks and selected items to form a self-report scale. The resulting positive risk-taking scale was quantitatively validated in a population-based sample of adolescent twins (n = 1249). Second, we evaluated associations between positive risk-taking, negative risk-taking, and potential personality and peer correlates using a genetically informed design. Sensation seeking predicted negative and positive risk-taking equally strongly, whereas extraversion differentiated forms of risk-taking. Additive genetic influences on personality accounted for the total heritability in positive risk-taking. Indirect pathways from personality through positive and negative peer environments were identified. These results provide promising evidence that personality factors of sensation seeking and extraversion can manifest as engagement in positive risks. Increased understanding of positive manifestations of adolescent risk-taking may yield targets for positive youth development strategies to bolster youth well-being.

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