Using network analysis to examine connections between Acceptance and Commitment Therapy (ACT) processes, internalizing symptoms, and well-being in a sample of undergraduates
Open accessAbstract
Background: Acceptance and Commitment Therapy (ACT) has been shown to be effective in treating internalizing symptoms. Understanding which ACT processes are most closely linked to certain symptoms may help develop targeted treatments. Network analysis an approach to gain insight into the interconnection between processes and the downstream benefits of targeting a particular process. However, limited work to date has explored networks involving ACT processes specifically. Methods: Undergraduate students (N = 447; 76.5 % female; 89.5 % White/Non-Hispanic) completed online questionnaires. The ACT processes assessed included experiential avoidance (AAQ-II), openness, awareness, and engagement (CompACT), and tacting ability (TOF), and internalizing symptoms/well-being (IDAS-II). Zero-order and partial correlation networks were examined as well as resulting communities. Results: In the association network, dysphoria and experiential avoidance, and suicidality (in the concentration network only) were central nodes. In community analyses, experiential avoidance had the strongest influence in the association network, whereas well-being had the strongest influence in the concentration network. Auto-detected communities were also evaluated. Limitations: The present study was cross-sectional and included a largely White, female, undergraduate sample. This limits generalizability to more diverse, clinical, or general community populations. Potential concerns about data are also noted including low reliability on the TOF and two skewed domains on the IDAS-II which may impact stability of centrality metrics. Conclusions: Well-being, dysphoria, and suicidality may be important process-based treatment targets. Further work is needed with diverse samples and using longitudinal designs to examine within person change of the associations between ACT processes and internalizing symptoms. © 2022
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- Premisecitation
The AAQ-II measure of experiential avoidance has been criticized as measuring psychological distress or negative affect.
“experiential avoidance, as measured by the AAQ-II, has been criticized as being a measure of psychological distress or negative affect (Wolgast et al., 2014; Rochefort et al., 2017; Tyndall et al., 2019; Ong et al., 2020).”
Quote in the paperSubstantial claim2 of 3 sources checked - Findingown data
The zero-order correlation network contained 23 nodes and 239 edges.
“The zero-order correlation network had 23 nodes and 239 total edges (see Figure 1, Panel a).”
Quote in the paperNot a substantial claim - Findingown data
In the partial/concentration network, suicidality was a central node.
“In the association network, Dysphoria and experiential avoidance, and suicidality (in the concentration network only) were central nodes.”
Quote in the paperNot a substantial claim - Findingown data
In the zero-order association network, dysphoria was a central node.
“In the association network, Dysphoria and experiential avoidance, and suicidality (in the concentration network only) were central nodes.”
Quote in the paperNot a substantial claim - Findingown data
Auto-detected community analysis of the zero-order network found two communities.
“Community analysis based upon auto-detected communities (see Table 4) indicated that there were two communities in the network.”
Quote in the paperNot a substantial claim
- Findingown data
In the zero-order network, the ten nodes with the highest degree centrality were all IDAS-II subscales: Dysphoria, Lassitude, Insomnia, Suicidality, Ill Temper, Panic, Social Anxiety, Claustrophobia, Trauma Intrusions, and Trauma Avoidance.
“Ten nodes had the highest degree centralities, and notably, all ten were subscales of the IDAS-II (Dysphoria, Lassitude, Insomnia, Suicidality, Ill Temper, Panic, Social Anxiety, Claustrophobia, Trauma Intrusions, and Trauma Avoidance).”
Quote in the paperNot a substantial claim - Findingown data
In the 21-node network collapsing CompACT subscales into one total score, the AAQ-II and CompACT total score nodes were identified as central ACT process nodes depending on the centrality metric.
“with both the AAQ-II and CompACT total scores nodes being identified as central nodes of the ACT process measures, depending on which centrality metric is prioritized”
Quote in the paperNot a substantial claim - Findingown data
The third auto-detected community in the partial network contained dysphoria, lassitude, insomnia, appetite loss, and social anxiety.
“The third community was comprised of dysphoria, lassitude, insomnia, appetite loss, and social anxiety.”
Quote in the paperNot a substantial claim - Findingown data
The first auto-detected community in the zero-order network contained appetite gain, mania, euphoria, claustrophobia, trauma avoidance, checking, ordering, and cleaning.
“The first was made up of appetite gain, mania, euphoria, claustrophobia, trauma avoidance, checking, ordering, and cleaning.”
Quote in the paperNot a substantial claim - Findingown data
The density of the partial correlation network was .27.
“The density of the network was .27, meaning 27% of all possible connections appeared in the network”
Quote in the paperNot a substantial claim - Findingown data
Results in the 21-node network were largely the same as in the 23-node network.
“Results were largely the same in this network”
Quote in the paperNot a substantial claim - Findingown data
In the zero-order network, Well-Being and Euphoria had the lowest degree centrality.
“Two nodes had the lowest degree centralities (Well-Being and Euphoria).”
Quote in the paperNot a substantial claim - Findingown data
The second auto-detected community in the zero-order network contained the remaining IDAS-II scales and all ACT process measures.
“The remaining IDAS-II scales and all ACT process measures were in the second community.”
Quote in the paperNot a substantial claim - Findingown data
The first auto-detected community in the partial network contained the five ACT process scales, well-being, ill temper, traumatic intrusions, and traumatic avoidance.
“The first was made up of the five ACT process scales, well-being, ill temper, traumatic intrusions, and traumatic avoidance.”
Quote in the paperNot a substantial claim - Findingown data
Community analysis showed experiential avoidance as the most influential node in the zero-order network.
“In community analyses, experiential avoidance had the strongest influence in the association network, whereas well-being had the strongest influence in the concentration network.”
Quote in the paperNot a substantial claim - Findingown data
The partial correlation network contained 23 nodes and 68 edges.
“The network using partial correlations had 23 nodes and 68 total edges (see Figure 1, Panel b).”
Quote in the paperNot a substantial claim - Findingown data
In the first auto-detected community of the partial network, traumatic avoidance had the highest bridge strength.
“Traumatic avoidance had the highest bridge strength.”
Quote in the paperNot a substantial claim - Findingown data
The density of the zero-order correlation network was .94.
“The density of the network was .94, meaning 94% of all possible connections appeared in the network”
Quote in the paperNot a substantial claim - Findingown data
In the zero-order association network, experiential avoidance was a central node.
“In the association network, Dysphoria and experiential avoidance, and suicidality (in the concentration network only) were central nodes.”
Quote in the paperNot a substantial claim - Findingown data
The second auto-detected community in the partial network contained suicidality, appetite gain, mania, euphoria, panic, claustrophobia, checking, ordering, and cleaning.
“The second community was comprised of suicidality, appetite gain, mania, euphoria, panic, claustrophobia, checking, ordering, and cleaning.”
Quote in the paperNot a substantial claim - Findingown data
In the 21-node network, Dysphoria was more central overall.
“and Dysphoria being more central overall.”
Quote in the paperNot a substantial claim - Findingown data
Auto-detected community analysis of the partial network found three communities.
“Community analysis based upon auto-detected communities (see Table 4) indicated there were three communities in the network.”
Quote in the paperNot a substantial claim - Findingown data
The levels of psychopathology in the present sample are consistent with those of a community recruited national sample of adults.
“Generally, results indicated the levels of psychopathology present are consistent with that of a community recruited national sample of adults.”
Quote in the paperSubstantial claim - Findingown data
Dysphoria and experiential avoidance had the highest eigenvector centralities.
“dysphoria and experiential avoidance had the highest eigenvector centralities”
Quote in the paperSubstantial claim - Findingown data
The first auto-detected community in the concentration network contained all ACT processes, well-being, ill temper, traumatic intrusions, and traumatic avoidance.
“The first was made up of all the ACT processes and well-being, as well as ill temper, traumatic intrusions, and traumatic avoidance.”
Quote in the paperSubstantial claim - Findingown data
Dysphoria and Suicidality had the highest betweenness values.
“Findings also revealed Dysphoria and Suicidality to have the highest values when looking at betweenness”
Quote in the paperSubstantial claim - Findingown data
All IDAS-II subscale T-scores in the current study were within one standard deviation of the normative mean.
“all IDAS-II subscale T-scores in the current study were within one standard deviation of the normative mean.”
Quote in the paperNot a substantial claim - Findingown data
The first auto-detected community in the association network contained the bipolar scales mania and euphoria, five anxiety scales (claustrophobia, traumatic avoidance, checking, ordering, cleaning), and one major depression symptom, appetite gain.
“The first community was made up of the bipolar scales (mania and euphoria), five anxiety scales (claustrophobia, traumatic avoidance, checking, ordering, cleaning), and one symptom of major depression: appetite gain.”
Quote in the paperSubstantial claim - Findingown data
In the concentration network, Dysphoria and Suicidality had the highest betweenness values.
“when looking at betweenness values in the concentration network specifically, Dysphoria and Suicidality had the highest values.”
Quote in the paperSubstantial claim - Findingown data
In the association network, predefined community analysis showed that experiential avoidance and dysphoria had the largest direct and indirect influence on the other community.
“In the association network, the predefined community analysis (i.e., ACT process community and IDAS-II community) revealed that experiential avoidance and dysphoria had the largest direct and indirect influence on the other community.”
Quote in the paperSubstantial claim - Findingown data
Among IDAS-II domains, well-being had the highest direct and indirect influence.
“As for the IDAS-II domains, it was well-being that had the highest direct and indirect influence.”
Quote in the paperSubstantial claim - Findingown data
Well-being had the greatest influence on the ACT processes.
“Findings indicate that well-being had the greatest influence on the ACT processes”
Quote in the paperSubstantial claim - Findingown data
The second auto-detected community in the association network contained the collapsed ACT processes per the hexaflex, well-being, major depression symptoms (appetite loss, ill temper, lassitude, insomnia, suicidality), and anxiety symptom domains (panic, social anxiety, traumatic intrusion).
“The second community was made up of the collapsed ACT processes per the hexaflex (experiential avoidance, openness, awareness, engagement, tacting ability), well-being, symptoms of major depression (appetite loss, ill temper, lassitude, insomnia, suicidality) and anxiety symptom domains (panic, social anxiety, and traumatic intrusion).”
Quote in the paperSubstantial claim - Findingown data
Once all connections were accounted for, well-being had the greatest influence on ACT processes.
“Interestingly, once all connections were accounted for, well-being had the greatest influence on ACT processes.”
Quote in the paperNot a substantial claim - Interpretationown data
Low reliability of the TOF may reduce the stability of centrality metrics.
“Potential concerns about data are also noted including low reliability on the TOF and two skewed domains on the IDAS-II which may impact stability of centrality metrics.”
Quote in the paperNot a substantial claim - Premisecitation
Few studies have empirically examined networks that include ACT processes.
“limited work has empirically investigated networks involving ACT processes specifically (e.g., Baker & Berghoff, 2021; Benfer et al., 2021).”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationown data
Two skewed IDAS-II domains may reduce the stability of centrality metrics.
“Potential concerns about data are also noted including low reliability on the TOF and two skewed domains on the IDAS-II which may impact stability of centrality metrics.”
Quote in the paperNot a substantial claim - Study design and conductown data
The sample consisted mostly of White female undergraduates.
“The present study was cross-sectional and included a largely White, female, undergraduate sample.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The cross-sectional design and sample composition restrict how far findings can be generalized to more diverse, clinical, or community populations.
“This limits generalizability to more diverse, clinical, or general community, populations.”
Quote in the paperNot a substantial claim - Interpretationown data
The partial correlation network is sparsely connected.
“indicating this is a sparsely connected network.”
Quote in the paperNot a substantial claim - Premisecitation
The AAQ-II is used inconsistently across studies to measure a shared ACT process.
“Thus, it appears the AAQ-II is not used consistently across studies to measure a shared ACT process.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Arch et al., 2022
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The zero-order correlation network is strongly connected.
“indicating this is a strongly connected network.”
Quote in the paperNot a substantial claim - Study design and conductnone given
The reliability of the TOF was low.
“the reliability of the TOF was low.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The transdiagnostic nature and risk factors of suicidality may contribute to its greater centrality across networks.
“All of this may contribute to why suicidality appeared as a more central node across networks.”
Quote in the paperSubstantial claim - Interpretationown data
The third auto-detected community in the concentration network (dysphoria, lassitude, insomnia, appetite loss, social anxiety) appears to group low arousal or low positive emotion-based symptoms.
“Finally, the third community (dysphoria, lassitude, insomnia, appetite loss, and social anxiety), appears to group together low arousal or low positive emotion-based symptoms.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The present sample is well suited to evaluate associations among internalizing domains and ACT processes.
“As such, this sample is well suited to evaluate associations among internalizing domains and ACT processes”
Quote in the paperSubstantial claim - Interpretationown data
Dysphoria and suicidality may be particularly important treatment targets because interventions reducing them may have downstream effects that reduce other internalizing symptoms.
“these results suggest that these two internalizing symptoms may be particularly important when it comes to treatment as interventions aimed at reducing dysphoria and suicidality may also have downstream effects and reduce other internalizing symptoms as well.”
Quote in the paperSubstantial claim - Interpretationown data
Dysphoria and experiential avoidance were the two nodes most strongly connected to other important nodes in the network.
“indicating they were the two nodes most strongly connected to other important nodes in the network.”
Quote in the paperSubstantial claim - Interpretationown data
The second auto-detected community in the concentration network (suicidality, appetite gain, mania, euphoria, panic, claustrophobia, checking, ordering, cleaning) appears to relate to activated or arousal-based symptoms.
“The second community (suicidality, appetite gain, mania, euphoria, panic, claustrophobia, checking, ordering, and cleaning) seems to relate to activated/arousal-based symptoms.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Because the auto-detected community clusters resemble the scales' development clusters, it may be difficult to tell whether the node patterns reflect true ACT-psychopathology associations or artificially inflated connections from IDAS development.
“Given the auto-detected community clusters, and the clusters of the scales when developed, it may be difficult to discern if the patterns in the nodes reflect true associations between ACT processes and psychopathology or represent artificially inflated connections resulting from the IDAS development.”
Quote in the paperNot a substantial claim
- Classified as probably not a substantial claim. 30
- May combine two claims. 47
- The quote only partly states this claim. 2
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe AAQ-II has been criticized for measuring psychological distress or neuroticism/negative affect rather than experiential avoidance.
“more recent criticisms of the scale have suggested that the AAQ-II is less a measurement of experiential avoidance, and instead measures psychological distress or neuroticism/negative affect (Wolgast et al., 2014; Rochefort et al., 2017; Tyndall et al., 2019; Ong et al., 2020).”
Quote in the paperNot a substantial claim2 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationACT is effective for internalizing symptoms.
“There is a large body of evidence showing ACT is an effective treatment for internalizing concerns (Bai et al., 2020; Gloster et al 2020; Bluett et al., 2014).”
Quote in the paperNot a substantial claim1 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe COVID-19 pandemic has been referred to as a collective traumatic event.
“the COVID-19 pandemic has been referred to as a collective traumatic event (Sanchez-Gomez, et al., 2021)”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Sanchez-Gomez, et al., 2021 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSome literature indicates that college students may be more likely to endorse stress symptoms than depression or anxiety symptoms.
“there is some literature that indicates that college students may be more likely to endorse symptoms of stress, in comparison to depression or anxiety symptoms (Ramón-Arbués et al., 2020).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Ramón-Arbués et al., 2020 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationCollege students are at higher risk for experiencing psychopathology generally and suicidality specifically.
“college students are at higher risk for experiencing both psychopathology generally and suicidality specifically (Mortier et al., 2018).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Mortier et al., 2018 source
The ‘Prevalence of college student STB worldwide’ section says college students are at marked risk for suicidal thoughts and behaviours, with pooled estimates higher than those for the general adult population. It does not establish higher risk for psychopathology generally, and it explicitly says whether students have higher suicidality risk than same-aged non-college peers is unclear. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrevious literature has shown that psychological flexibility is associated with well-being.
“This finding is consistent with previous literature, which has shown psychological flexibility to associate with well-being (Brassell et al., 2016; Marshall & Brockman, 2016; Wersebe et al., 2018).”
Quote in the paperNot a substantial claim1 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSuicidality may be considered a transdiagnostic symptom because it is a diagnostic criterion for several psychiatric disorders, a consequence of many more, and has genetic, environmental, and socio-cultural risk factors.
“suicidality may also be considered a transdiagnostic symptom in that it is a diagnostic criterion for several psychiatric disorders (e.g., depression, borderline personality disorder) and is considered a consequence of many more; further, there are genetic, environmental, and socio-cultural risk factors for suicidality (Fehling & Selby, 2021).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Fehling & Selby, 2021 source
In ‘Concurrent Validator: Patterns of Comorbidity’ (page unavailable), the paper says suicidality is a diagnostic criterion for MDD and BPD and that suicidal behavior occurs in the context of many psychiatric disorders. Its sections on familial aggregation, environmental risk, and socio-demographic and cultural factors describe the stated risk factors. The paper does not establish that suicidality is a consequence of the many other disorders; it describes their relationship as co-occurrence or comorbidity. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEvidence indicates that U.S. college students experienced increases in depressive and anxiety symptoms and stress during the Spring and Fall 2020 semesters.
“There is evidence that college students in the U.S. experienced increases in depressive and anxiety symptoms and stress during the Spring and Fall 2020 semesters (Charles et al., 2021; Roche et al., 2022).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Charles et al., 2021 source
The Discussion reports higher depressive symptoms and perceived stress in spring 2020, but says the predicted increase in anxiety was not found and the detected increases were not present in fall 2020. The claim therefore overstates which symptoms increased and when. (LLM, conf=0.90)
Experimental — accuracy not yet measured - cites Roche et al., 2022 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe HiTOP system proposes that mania symptoms associate with obsessive-compulsive symptoms such as checking, ordering, and cleaning.
“Interestingly, this is in line with the proposed Hierarchical Taxonomy of Psychopathology (HiTOP) system, where symptoms of mania are thought to associate with obsessive-compulsive symptoms like checking, ordering, and cleaning (Kotov et al., 2017, 2021).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Kotov et al., 2017 source
- cites Kotov et al., 2021 source
Table 1 in §6.1 places both bipolar-related and obsessive-compulsive disorders within the internalizing spectrum, supporting a broad relationship in the HiTOP model. It does not say that mania symptoms specifically associate with checking, ordering, or cleaning; the Figure 1 text in §4 also does not establish those symptom-level associations. (LLM, conf=0.84)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataIn the first auto-detected community of the partial network, tacting of function had the weakest expected influence, traumatic intrusions the strongest, and well-being the strongest negative expected influence value.
“Tacting of function also had the weakest expected influence, whereas traumatic intrusions had the strongest; and although not the strongest overall, well-being had the strongest negative expected influence value.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the second auto-detected community of the zero-order network, well-being had the lowest bridge strength and trauma intrusions the highest.
“For bridge strength in the second community, well-being had the lowest value and trauma intrusions had the highest.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataMissing items across scales and subscales ranged from 0.51% to 1.74%, and imputed items ranged from 0.06% to 0.29%.
“Across scales and subscales, 0.51–1.74% items were missing and 0.06–0.29% of items were imputed.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the partial correlation network, dysphoria and suicidality had the highest closeness, and appetite gain was the most distant.
“Both dysphoria and suicidality had the highest closeness values, and appetite gain was the most distant.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSkewness was within normal limits except for suicidality and claustrophobia, which showed floor effects.
“Skewness values were within normal limits, except for suicidality and claustrophobia, with these domains showing low endorsement (i.e., floor effects).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the partial correlation network, Dysphoria and suicidality had the highest degree centrality, while appetite gain, engagement, and ill temper had the lowest.
“Dysphoria and suicidality had the highest degree centrality while appetite gain, engagement, and ill temper had the lowest.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the predefined ACT community of the zero-order network, experiential avoidance had the strongest bridge strength and indirect expected influence, while tacting of function had the weakest for both.
“For the ACT community, experiential avoidance had strongest bridge strength and expected influence value when considering indirect effects, whereas tacting of function had the weakest for both.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the first auto-detected community of the partial network, tacting of function had a bridge strength of zero and was not connected to nodes in other communities.
“In the first community, tacting of function had a bridge strength of zero, indicating it was not connected to nodes in any other community.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the partial correlation network, appetite gain was least central by weighted degree, while engagement, well-being, and tacting of function were least central by eigenvector centrality.
“Appetite gain was the least central based upon weighted degree whereas engagement, well-being, and tacting of function were the least central, based upon eigenvector centrality.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
FindingcitationSuicidality and claustrophobia means and standard deviations matched previously established national norms.
“The means and the standard deviations for the suicidality and claustrophobia subscales are in line with previously established national norms (Nelson et al., 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Nelson et al., 2018 source
May combine two claims.
Findingown dataIn this sample, internal consistencies were AAQ-II α = .91, openness α = .79, awareness α = .90, engagement α = .86, and TOF α = .58.
“Internal consistencies of the measures in the current sample ranged from poor to excellent (AAQ-II: α = .91; openness: α = .79; awareness: α = .90; engagement: α = .86; TOF α: = .58).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the predefined IDAS-II community of the partial network, well-being had the strongest bridge strength, while insomnia, appetite loss, appetite gain, euphoria, social anxiety, and ordering had bridge strengths of zero and were not connected to the ACT community.
“in the IDAS-II community, well-being had the strongest bridge strength whereas insomnia, appetite loss, appetite gain, euphoria, social anxiety, and ordering all had bridge strengths of zero (not connected to the ACT community).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the partial correlation network, dysphoria had the highest weighted degree and eigenvector centrality.
“For weighted degree and eigenvector centrality, dysphoria had the highest value.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataCommunity analysis showed well-being as the most influential node in the partial/concentration network.
“In community analyses, experiential avoidance had the strongest influence in the association network, whereas well-being had the strongest influence in the concentration network.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataIn this sample, IDAS-II subscale internal consistencies were adequate, ranging from .75 for euphoria to .92 for dysphoria.
“Internal consistency across all subscales in the current sample was adequate and ranged from .75 (euphoria) to .92 (dysphoria).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the partial correlation network, dysphoria had the highest betweenness and appetite gain the lowest.
“Lastly, dysphoria had the highest betweenness value, whereas appetite gain was the lowest.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the second auto-detected community of the zero-order network, well-being had the lowest indirect expected influence and dysphoria the strongest.
“For expected influence for indirect effects, well-being again had the lowest value whereas dysphoria had the strongest value.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the third auto-detected community of the partial network, insomnia had the lowest bridge strength and dysphoria the highest.
“Lastly, in community three, insomnia had the lowest bridge strength while dysphoria had the highest.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the predefined IDAS-II community of the zero-order network, dysphoria had the strongest bridge strength and indirect expected influence, while euphoria had the weakest for both.
“in the IDAS-II community, dysphoria had the strongest bridge strength and expected influence value when considering indirect effects, whereas euphoria was weakest for both.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the predefined IDAS-II community of the partial network, well-being had the strongest indirect expected influence, appetite gain the weakest, and suicidality the strongest negative value.
“For expected influence when considering indirect effects, well-being again had the strongest value while appetite gain had the weakest value. Of note, suicidality had the strongest negative value.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the zero-order network, the same ten IDAS-II nodes had the highest closeness, while Well-Being and Euphoria were the most distant.
“For closeness, the same ten nodes as listed above had the highest closeness value, whereas Well-Being and Euphoria were the most distant nodes.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the second auto-detected community of the partial network, ordering had the weakest bridge strength and suicidality the strongest.
“In community two, ordering had the weakest bridge strength, and suicidality had the strongest bridge strength.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the zero-order network, the same ten IDAS-II nodes had the highest betweenness, and ordering had the lowest.
“Lastly, for betweenness, the same ten nodes had the highest betweenness values, whereas ordering had the lowest.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the second auto-detected community of the partial network, appetite gain had the weakest expected influence and panic the strongest.
“As for expected influence, appetite gain was weakest, whereas panic was strongest.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the zero-order network, Dysphoria was the most central node and Well-Being the least central node for weighted degree and eigenvector centrality.
“For both weighted degree and eigenvector centrality, the most central node was Dysphoria, whereas the least central node was Well-Being.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataModel variables showed a large degree of variability.
“Overall, there was a large degree of variability across model variables (see Table S1).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the predefined ACT community of the partial network, experiential avoidance had the strongest indirect expected influence and engagement the weakest.
“For expected influence when considering indirect effects, experiential avoidance was the strongest whereas engagement was the weakest.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the first auto-detected community of the zero-order network, euphoria had the lowest bridge strength and expected influence, while mania had the highest.
“In the first community, euphoria had the lowest bridge strength and expected influence while mania had the highest.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the predefined ACT community of the partial network, openness had the strongest bridge strength and tacting of function the weakest.
“For bridge strength in the ACT community, openness had the strongest value, and tacting of function had the weakest value.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the second partial network, CompACT and AAQ nodes were again the most central ACT process nodes depending on the metric, while dysphoria remained most central overall.
“The CompACT and AAQ nodes were again most central of the ACT process measure nodes, depending on the metric prioritized, although dysphoria remained most central overall.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataA second partial network collapsing the three CompACT subscale nodes into one total score was evaluated, and results differed most within the auto-detected community analyses.
“Again, a second network collapsing the three CompACT subscale nodes into one total score node was also evaluated results are presented in the supplemental section. Results differed most within the auto-detected community analyses.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the third auto-detected community of the partial network, appetite loss had the weakest expected influence, dysphoria the strongest, and insomnia the strongest negative expected influence.
“For expected influence, appetite loss had the weakest value, and dysphoria had the strongest value; insomnia had the strongest negative expected influence value.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the concentration network, experiential avoidance and openness had nearly identical direct influences, while experiential avoidance had the highest indirect influence.
“In the concentration network, however, both experiential avoidance and openness had nearly identical direct influences, while experiential avoidance had the highest indirect influence.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe University of Iowa IRB approved all study procedures, and participants gave informed consent.
“All study procedures were approved by the University of Iowa institutional review board, and all participants provided informed consent.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationBaker and Berghoff (2021) found clusters matching psychological flexibility and inflexibility, but no clear links to psychopathology.
“Baker and Berghoff (2021) results showed clusters consistent with psychological flexibility and inflexibility, though with no clear associations with psychopathology.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Baker and Berghoff (2021) source
May combine two claims.
PremisecitationBenfer et al. (2021) reported that experiential avoidance was the most influential ACT process and lack of connectedness with values the second most influential for post-traumatic stress symptoms.
“Benfer et al. (2021) found that of the ACT processes, experiential avoidance had the strongest influence, and lack of connectedness with values had the second strongest influence on post-traumatic stress symptoms.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Benfer et al., 2021 source
May combine two claims.
Interpretationown dataWell-being, dysphoria, and suicidality may be useful targets in process-based treatment.
“Well-being, dysphoria, and suicidality may be important process-based treatment targets.”
Quote in the paperNot a substantial claim- Rests on an assumption: Knowing which ACT processes are most strongly linked to particular symptoms or well-being domains can help clinicians choose ACT process targets in treatment.
- Rests on an assumption: Centrality metrics from network analysis can guide clinicians in selecting symptoms to target for the greatest downstream effect.
Classified as probably not a substantial claim.
Study design and conductown dataThe study used a cross-sectional design.
“The present study was cross-sectional and included a largely White, female, undergraduate sample.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningAnother possibility is that the auto-detected communities identified scales based on their initial development and validation.
“However, another possibility may be that the auto-detected communities identified scales based on initial development and validation.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataBecause the sample is non-clinical, majority White (82%), and cisgender, the results may not generalize to people of color, gender diverse individuals, other marginalized identities, or broader community and clinical samples.
“an important limitation of the present sample that should be noted is that it is non-clinical, majority White (82%) and cisgender, and results may not generalize to people of color, gender diverse individuals or other marginalized identities, or more broad community and clinical samples.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationown dataThe current findings suggest the potential importance of a process-based approach for individuals with internalizing symptoms.
“findings from the current study suggest the potential importance of using a process-based approach for individuals experiencing internalizing symptoms.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe original IDAS scale contained 11 subscales, all of which were included in the second community except appetite gain.
“The original IDAS scale contained 11 subscales (dysphoria, social anxiety, lassitude, ill temper, traumatic intrusions, panic, suicidality, insomnia, appetite loss, appetite gain, and well-being; Watson et al., 2007), all of which were included in the second community, except for appetite gain.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Watson et al., 2007 source
May combine two claims.
Interpretationown dataDysphoria and suicidality may be important symptoms or areas to target in treatment.
“Both dysphoria and suicidality may be important symptoms or areas to target via treatment.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataDysphoria and Suicidality were the two nodes with the most influence on other nodes in the network.
“meaning that they were the two nodes with the most influence on other nodes in the network.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataSkewed IDAS-II data, including floor effects for suicidality and claustrophobia, can affect centrality metric computation and make the metrics less stable.
“the skewed data on the IDAS-II (i.e., floor effects for suicidality and claustrophobia), although in line with national community samples and what’s expected, can impact the computation of centrality metrics and make them less stable.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe ACT processes may be more helpful in treating major depressive disorder and/or panic, social anxiety, and intrusive thinking than bipolar disorder or obsessive-compulsive-spectrum disorders.
“These findings indicate that the ACT processes may be more helpful in the treatment of major depressive disorder and/or panic, social anxiety, and intrusive thinking than bipolar disorder or obsessive/compulsive-spectrum disorders.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenThe IDAS-II does not require respondents to specify which event or memory they are considering when answering.
“the IDAS-II does not require participants to specify which event or memory respondents are considering when answering.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
InterpretationreasoningIt cannot be determined whether respondents had the COVID-19 pandemic in mind when responding to the traumatic intrusions and traumatic avoidance items.
“Thus, it cannot be determined whether respondents had the COVID-19 pandemic in mind when responding to the items that measure traumatic intrusions”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
InterpretationreasoningThe COVID-19 pandemic may have affected the IDAS-II trauma subscales of traumatic intrusions and traumatic avoidance.
“which may have had an impact on the trauma subscales of the IDAS-II (traumatic intrusions and traumatic avoidance).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenCompared with the association network, the concentration network appears less affected by method effects and measurement artifacts and shows clearer communities of symptoms related to avoidance and trauma memory, high arousal, and low arousal.
“In contrast to the association network, the concertation network appears to be less affected by method effects and measurement artifacts and appears to show a clearer communities of symptoms related to avoidance and trauma memory, high arousal, and low arousal.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe reviewed meta-analysis indicates that ACT is helpful for improving well-being in both non-clinical and clinical populations.
“Overall, the findings of the review indicate that ACT is helpful in improving well-being in both non-clinical and clinical populations.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Stenhoff et al., 2020 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPartial correlation networks have been criticized as often being unstable over time and across samples and thus often unable to be replicated.
“partial correlation networks have received criticisms as well. Importantly, these networks are often not stable over time or across samples and thus often may be unable to be replicated (Forbes et al., 2017a, 2017b).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Forbes et al., 2017a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Forbes et al., 2017b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHayes et al. (2019) note the importance of dynamic network models and longitudinal data for understanding how processes unfold over time, influence one another, and may influence symptom or treatment trajectories.
“Hayes et al. (2019) note the importance of dynamic network models and including longitudinal data to understand how processes unfold overtime, influence one another, and may influence symptom or treatment trajectories.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hayes et al., 2019 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA recently published meta-analysis examined the efficacy of ACT interventions for improving well-being.
“In fact, a recently published meta-analysis that examined the efficacy of ACT interventions on improving well-being (Stenhoff et al., 2020).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Stenhoff et al., 2020 source
Probably not a substantial claim: may not pass S2 (checkable).
Interpretationown dataIndividuals with dysphoria and suicidality may benefit from targeting experiential avoidance, openness, and awareness.
“Findings from this study, although not at the individual idiographic level, do suggest that individuals experiencing symptoms of dysphoria and suicidality may benefit from targeting experiential avoidance, openness, and awareness.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationown dataTo promote well-being, treatments should focus on increasing values-based behaviors.
“Findings from the current study also indicate that to promote well-being, treatments should focus on increasing values-based behaviors.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHayes et al. (2019) note the importance of using network analyses to analyze process-focused data at an idiographic level.
“Hayes et al. (2019) specifically note the importance of using network analyses to analyze process-focused data at an idiographic level”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hayes et al., 2019 source
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningContextual stressors experienced by college students may have led to higher perceived stress without presenting as clinical or diagnostic symptoms.
“Some of the contextual stressors that college students experienced may have resulted in reports of higher perceived stress but may not have presented as clinical or diagnostic symptoms.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationThe AAQ-II's possible measurement of distress may explain why experiential avoidance showed high influence in the networks and should be considered when interpreting the results.
“This may be why experiential avoidance demonstrated high influence in the networks and should be considered when interpreting the results of the current study.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThe low TOF reliability may contribute to unstable model estimates and may indicate a need to refine the scale in future research.
“This may also contribute to unstable model estimates and may indicate the need to refine this scale in future research”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
PremisecitationNetwork analysis may help clinicians generate accurate case conceptualizations and select appropriate treatment strategies.
“It has been suggested that network analysis may help clinicians generate accurate case conceptualizations and select appropriate strategies for treatment (Hoffman, Curtiss, Hayes, 2020).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hoffman, Curtiss, Hayes, 2020
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataOverall, experiential avoidance has the largest influence on internalizing domains, and dysphoria has the largest influence on ACT processes.
“This indicates that overall, experiential avoidance has the largest influence on internalizing domains, and dysphoria has the largest influence on ACT processes.”
Quote in the paperSubstantial claim
The paper relies on this without support.
Knowing which ACT processes are most strongly linked to particular symptoms or well-being domains can help clinicians choose ACT process targets in treatment.
“However, understanding which ACT processes are most strongly linked to certain symptoms or well-being domains may help further clarify how clinicians can target ACT processes in treatment to best meet clients’ needs.”
The paper relies on this without support.
Centrality metrics from network analysis can guide clinicians in selecting symptoms to target for the greatest downstream effect.
“These metrics are particularly important in intervention research as it may yield important information for clinicians to help determine which symptoms to target that will have the greatest downstream effect.”
The paper relies on this without support.
ACT is a transdiagnostic approach.
“Given that ACT is a transdiagnostic approach, examining how ACT processes interact with internalizing symptoms may yield important information for clinicians and researchers in identifying intervention targets.”
The paper relies on this without support.
The AAQ-II validly measures experiential avoidance.
“experiential avoidance, as measured by the AAQ-II, has been criticized as being a measure of psychological distress or negative affect”
The paper relies on this without support.
The CompACT subscales validly measure the ACT processes of experiential avoidance, openness, awareness, engagement, and tacting of function.
“the collapsed ACT processes per the hexaflex (experiential avoidance, openness, awareness, engagement, tacting ability)”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Previous studies support the role of Psychological Inflexibility processes in adolescents' suffering and psychopathology, as well as the role of Psychological Flexibility in adolescents' well-being and meaning in life.
“Previous studies support the role of PI processes in adolescents’ suffering and psychopathology (e.g., [49–54]), as well as the role of PF in adolescents’ well-being [55, 56] and meaning in life [57].”
From Acceptance and commitment therapy as a transdiagnostic approach to adolescents with different anxiety disorders: study protocol. (2025) · cites this paper as [49]
The Discussion links experiential avoidance with dysphoria and suicidality, and the Clinical Implications section links values-based behavior with well-being. But the Methods describe a sample of undergraduates aged 18–26, not adolescents, and the paper does not report a measured association with meaning in life. Page numbers are unavailable in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measuredFindings were inconsistent regarding the centrality of each Psychological Inflexibility/Psychological Flexibility process in the network.
“However, findings were inconsistent regarding the centrality of each PI/PF process in the network (e.g., [47, 49]).”
From Acceptance and commitment therapy as a transdiagnostic approach to adolescents with different anxiety disorders: study protocol. (2025) · cites this paper as [49]
Network analysis studies highlighted the theoretically proposed interconnectedness between Psychological Inflexibility/Psychological Flexibility processes and their association with mental health outcomes such as well-being/quality of life, internalizing symptoms and PTSD symptoms.
“Network analysis studies also highlighted the theoretically proposed interconnectedness between PI/PF processes [47], and their association with mental health outcomes such as well-being/quality of life, internalizing symptoms [48, 49] and PTSD symptoms [50].”
From Acceptance and commitment therapy as a transdiagnostic approach to adolescents with different anxiety disorders: study protocol. (2025) · cites this paper as [49]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Dysphoria is omitted from a purportedly complete community list
MinorThe discussion's description of the second association-network community omits dysphoria, but its subsequent account explicitly places dysphoria in that community.
“The second community was made up of the collapsed ACT processes per the hexaflex (experiential avoidance, openness, awareness, engagement, tacting ability), well-being, symptoms of major depression (appetite loss, ill temper, lassitude, insomnia, suicidality) and anxiety symptom domains (panic, social anxiety, and traumatic intrusion).”
“The original IDAS scale contained 11 subscales (dysphoria, social anxiety, lassitude, ill temper, traumatic intrusions, panic, suicidality, insomnia, appetite loss, appetite gain, and well-being; Watson et al., 2007), all of which were included in the second community, except for appetite gain.”
Conflicting percentages for White participants
MinorThe abstract reports 89.5% of participants as White/Non-Hispanic, while the limitations section reports 82% as White. The percentage in the narrower White/Non-Hispanic category cannot exceed the percentage in the White category for the same sample.
“Undergraduate students (N = 447; 76.5% female; 89.5% White/Non-Hispanic) completed online questionnaires.”
“Lastly, an important limitation of the present sample that should be noted is that it is non-clinical, majority White (82%) and cisgender”
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Psychological flexibility and psychological distress among students: A temporal network approach
Facon-Barillot, Q., Romo, L., DIOS, L. G. D., & Morvan, Y. (2025) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2025.100953 · Cited by 3 · see citing works
Figueiredo, D. V., Salvador, M. D. C., Rijo, D., & Vagos, P. (2025) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-024-02608-2 · Cited by 2 · see citing works
Zhang, C., Zhao, M., Shang, B., & Ji, L. (2026) · Archives of Women s Mental Health · doi:10.1007/s00737-025-01659-x · Cited by 1 · see citing works
“As the “third-wave” cognitive behavioral therapies have advanced, research has increasingly explored accepting internal experiences reduces psychological symptoms and improves adaptation across diverse groups (Corti et al. 2018; Eadeh et al. 2023).”
Williams, M. A., Eadeh, H., Markon, K. E., Adamowicz, J. L., & Thomas, E. B. K. (2025) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2025.100917 · Cited by 1 · see citing works
Self-citationYau, P. T., Gloster, A. T., Chien, W. T., & Chong, Y. Y. (2025) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2025.100970
Interplay and centrality of HiTOP internalizing symptoms
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“Given that skewness values below 3 and kurtosis values below 10 meet the assumptions for network analysis, the data were deemed suitable for subsequent analyses (Brown, 2015; Eadeh et al., 2023).”
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“By categorizing individuals into optimal profiles, it is widely applied in health psychology and oncology research for symptom phenotype identification and prognostic stratification [16–18].”
González-Ramírez, L. P., González-Cantero, J. O., Martínez-Arriaga, R. J., Jiménez, S., Herdoiza-Arroyo, P. E., Robles, R., Castellanos-Vargas, R. O., & Rodríguez, A. D. (2026) · PLoS ONE · doi:10.1371/journal.pone.0344411
“This can help determine which nodes are more closely related to the rest of the nodes in the network, providing valuable insight into the main behaviors that may impact mental well-being [16].”
Influential
- Authors
- Eadeh, H.-M., Adamowicz, J. L., Markon, K., & Thomas, E. B. K.
- Affiliations
- University of Iowa (US)
- Corresponding author
- Thomas, Emily B.K.
- Venue
- Journal of Affective Disorders
- Publisher
- Elsevier BV
- Published
- 2023-01
- Volume
- 320
- Pages
- 701-709
- ISSN
- 0165-0327 (ISSN-L)
- PMC
- PMC9675720
- OpenAlex
- W4303183454
- Cited by
- 18
- References
- 46
- Citations by year
- 2026: 7 · 2025: 5 · 2024: 6
- FWCI
- 2.51
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Journal of Affective Disorders (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (T32GM108540)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- acceptance and commitment therapy, experiential avoidance, internalizing problems, well-being, dysphoria, suicidality, network analysis, undergraduate students
- MeSH terms
- Cross-Sectional Studies, Female, Humans, Male, Surveys and Questionnaires, Students, Reproducibility of Results, Acceptance and Commitment Therapy
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