Characterizing the momentary association between loneliness, depression, and social interactions: Insights from an ecological momentary assessment study.

Evidence suggests that loneliness causes people to feel more depressed. It is unknown, however, why this association occurs and whether momentary versus chronic experiences of loneliness are implicated. Theoretical accounts suggest that momentary feelings of loneliness produce two competing motivations: social reaffiliation and social withdrawal. Social affiliation is protective against depression; social withdrawal, in contrast, is a risk factor. Thus, engaging in frequent and high-quality interactions following experiences of loneliness may protect against subsequent depression. We tested this hypothesis using a random-interval experience sampling design (5×/day, 14 days; Nobs = 6568) with a racially/ethnically diverse sample of adults with elevated depression symptoms (N = 102). Momentary loneliness was associated with depressed mood at the same time point and ~ 2.5 and ~ 5 h later. Frequency and quality of social interaction did not moderate these associations. Findings suggest that momentary feelings of loneliness may be an important target for clinical intervention.

Person-specific dynamics between negative emotions and suicidal thoughts.

INTRODUCTION: Recent technology has enabled researchers to collect ecological momentary assessments (EMA) to examine within-person correlates of suicidal thoughts. Prior studies examined generalized temporal dynamics of emotions and suicidal thinking over brief periods, but it is not yet known how variable these processes are across people. METHOD: We use data EMA data delivered over two weeks with youth/young adults (N = 60) who reported past year self-injurious thoughts/behaviors. We used group iterative multiple model estimation (GIMME) to model group- and person-specific associations of negative emotions (i.e., fear, sadness, shame, guilt, and anger) and suicidal thoughts. RESULTS: 29 participants (48.33%) reported at least one instance of a suicidal thought and were included in GIMME models. In group level models, we consistently observed autoregressive effects for suicidal thoughts (e.g., earlier thoughts predicting later thoughts), although the magnitude and direction of this link varied from person-to-person. Among emotions, sadness was most frequently associated with contemporaneous suicidal thoughts, but this was evident for less than half of the sample, while other emotional correlates of suicidal thoughts broadly differed across people. No emotion variable was linked to future suicidal thoughts in >14% of the sample, CONCLUSIONS: Emotion-based correlates of suicidal thoughts are heterogeneous across people. Better understanding of the individual-level pathways maintaining suicidal thoughts/behaviors may lead to more effective, personalized interventions.

Avoidance and fear day by day in social anxiety disorder.

OBJECTIVE: Theories assert that avoidance maintains maladaptive anxiety over time, yet a clear prospective test of this effect in the day-by-day lives of people with social anxiety disorder (SAD) is lacking. METHOD: We used intensive longitudinal data to test prospective relationships between social fear and social avoidance in 32 participants with SAD who reported on a total of 4256 time points. RESULTS: Results suggested that avoidance strongly predicted future anxiety, but only in a minority of people with SAD. Relationships between anxiety and avoidance varied considerably across individuals. Pre-registered tests found that the strength of autocorrelation for social fear is a good target for future testing of prediction of exposure response. Participants with lower autocorrelations were less likely to show between-session habituation. CONCLUSIONS: Overall, results suggest avoidance maintains fear in SAD for at least some individuals, but also indicates considerable variability. Further intensive longitudinal data is needed to examine individuals with SAD across varying time courses.

Using the experience sampling method to support clinical practice: An illustration with problematic cannabis use.

The experience sampling method (ESM) has been frequently used in clinical research; however, there is low translational uptake in clinical practice. This may be due to challenges with interpreting individual-level data at granular intervals. We provide an illustrative example of how ESM can be leveraged to generate personalized cognitive-behavioral strategies for problematic cannabis use.We conducted a descriptive case series analysis using ESM data from 30 individuals reporting on problematic cannabis use, craving, affect, and coping four times daily for 16-days (t = 64, T = 1,920).Analyzing ESM data using descriptive statistics and visualizations from individuals with similar clinical and demographic profiles supported a diverse array of personalized clinical insights and recommendations for each case. These recommendations included psychoeducation regarding affect- and boredom-regulation strategies, functional analyses of occasions during which cannabis was not used, and discussions on how cannabis use intersects with one's personal values.While many clinicians utilize measurement-based care, barriers have limited the incorporation of ESM towards personalized, data-informed approaches to treatment. We provide an illustrative example of how ESM data can be used to generate actionable treatment strategies for problematic cannabis use and highlight continued challenges with interpreting time-series data.

Whose Approval Matters Most? Examining Discrepancies in Self- and Other- Perceptions of Drinking.

BACKGROUND: Research demonstrates that perceptions of others' attitudes toward drinking behaviors (injunctive norms) are strong predictors of alcohol consumption and problems. Personalized normative feedback (PNF) aims to reduce the discrepancy between one's perception of others' attitudes toward drinking and others' actual attitudes toward drinking. An implicit assumption of PNF is that self and (perceived) other attitudes toward drinking are aligned (thus, shifting one's perceptions of others' attitudes shifts one's own attitudes). However, there is minimal research on the extent to which alignment (or discrepancy) in self-other attitudes toward drinking is associated with alcohol-related outcomes. METHODS: College students (N = 1,494; Mage = 20.11, 61.0% female, 66.4% White) who endorsed past-month heavy episodic drinking reported injunctive norms toward drinking on weekends, drinking daily, drinking to black out, and drinking and driving. Participants reported their perceptions of attitudes toward these drinking behaviors for three reference groups: close friends, typical university-affiliated peers, and parents. Outcomes included weekly drinking, alcohol problems, and alcohol-related risk. RESULTS: Response surface analyses indicated that alignment in approval (versus alignment in disapproval) of drinking demonstrated a linear association with alcohol-related outcomes. Discrepancies in self-peer and self-parent attitudes were associated with alcohol-related outcomes and one's own attitudes (versus one's ratings of others' attitudes) of drinking were more strongly associated with outcomes. CONCLUSIONS: Results provide evidence of how self-other discrepancies in attitudes toward drinking are associated with alcohol-related outcomes. Future work is needed to test whether self-other discrepancies in attitudes toward drinking impacts response to norms-based interventions.

Negative Beliefs About Suicide Disclosure: Implications for US Veterans.

ABSTRACT: This study examined the differences in negative beliefs about disclosing suicidal thoughts and behaviors (STBs) between US Veterans and non-Veterans, and between Veterans who are and are not enrolled in Veterans Health Administration (VHA) care. Participants included 495 adults with a history of suicide ideation who completed an online self-report questionnaire inquiring about history of STBs, STB disclosure, and beliefs about STB disclosures. Group differences in STB disclosure beliefs were analyzed. Results showed that Veterans (vs. non-Veterans) more strongly believed that STB disclosure would result in firearm confiscation. VHA-enrolled (vs. non-VHA enrolled) Veterans reported stronger beliefs that STB disclosures result in involuntary hospitalization. Among VHA-enrolled Veterans, stronger beliefs regarding providers' interest regarding true STB experiences and others' comfort with STB disclosures were associated with lower STB disclosure likelihood. Findings highlight that educating Veterans on the benefits of STB disclosure and limiting misinformation regarding its consequences is paramount, specifically through improved suicide-related communication within the VHA and stigma reduction campaigns.

Investigating Individual Variation Using Dynamic Structural Equation Modeling: A Tutorial with Tinnitus.

A growing body of research suggests that standard group-based models might provide little insight regarding individuals. In the current study, we sought to compare group-based and individual predictors of bothersome tinnitus, illustrating how researchers can use dynamic structural equation modeling (DSEM) for intensive longitudinal data to examine whether findings from analyses of the group apply to individuals. A total of 43 subjects with bothersome tinnitus responded to up to 200 surveys each. In multi-level DSEM models, survey items loaded on three factors (tinnitus bother, cognitive symptoms, and anxiety) and results indicated a reciprocal relationship between tinnitus bother and anxiety. In fully idiographic models, the three-factor model fit poorly for two individuals, and the multilevel model did not generalize to most individuals, possibly due to limited power. Research examining heterogeneous conditions such as tinnitus bother may benefit from methods such as DSEM that allow researchers to model dynamic relationships.

Daily-level relationships between negative affect, negative emotion differentiation, and cannabis behaviors among a high-risk sample of young adults.

Prior research suggests that higher trait negative emotion differentiation (NED; one's ability to make subtle distinctions between different negative emotional states) is associated with consuming less alcohol when experiencing high negative affect (NA) in daily life. Yet, whether these findings extend to cannabis use behaviors is unclear. The present study used intensive daily data to test whether NED moderated the relationship between NA and cannabis behaviors. A community sample of 409 young adults who used alcohol and cannabis completed a baseline survey and five 2-week bursts of online surveys across two years. Multilevel models tested cross-level interactions between trait NED (person-level) and daily NA (daily-level) predicting cannabis use, hours high, negative consequences, craving, and coping motives. In contrast to expectations, on days with higher reported NA, people with higher NED (compared to those with lower NED) had a greater likelihood of experiencing any cannabis craving, experienced more intense craving, and reported higher cannabis coping motives. NED x NA interaction was not significant for likelihood of cannabis use, hours high, or negative consequences. Post-hoc descriptive analyses suggest notable person-specific heterogeneity in these findings. Individuals with higher ability to differentiate between negative emotions reported higher coping motives and craving when experiencing higher NA. However, these associations were variable for individuals within the sample. It may be that high NED individuals crave and purposefully use cannabis to reduce NA states. Findings are inconsistent with the alcohol literature and have important implications for intervention efforts aimed at reducing coping-motivated cannabis use among young adults.

The role of suicide stigma in self-disclosure among civilian and veteran populations.

Widespread attempts to implement suicide prevention efforts may be hindered by stigma regarding suicidal thoughts and behaviors (STBs). Despite extensive literature linking general mental health stigma to numerous negative outcomes (i.e., reduced help-seeking), limited research has extended findings to STB-specific stigma. Thus, the present study aimed to examine the association between three types of STB stigma (public, self, and anticipated) and self-disclosure, a specific form of help-seeking for some individuals, among civilians and a population at heightened suicide risk, U.S. veterans. Participants (n = 500) reported a lifetime history of suicidal ideation (n = 253 identified as a U.S. veteran; n = 132 reported being enrolled in Veteran Health Administration [VHA] care) who completed self-report measures about their STB experiences, including stigma and self-disclosure. Results highlighted a significant association between greater self-stigma, as well as greater anticipated stigma, and a reduced likelihood of STB disclosure, among veterans but not civilians. No significant associations as a result of VHA care status were found. Together, findings suggest that individuals' concerns related to STBs and STB disclosure may be grounded in past experiences in the military, and thus highlight the need for prevention efforts that protect against negative consequences related to STB disclosure.

Evaluating Clinician Attitudes After Local Implementation of the Veterans Affairs Predictive Analytic Model for Suicide Prevention.

OBJECTIVE: The Recovery Engagement and Coordination for Health-Veterans Enhanced Treatment (REACH VET) program was launched in 2017 to identify Veterans at high risk for suicide and other adverse outcomes using predictive analytics. This quality improvement study evaluated the sustainment of the REACH VET program at a large Veterans Affairs health care system by assessing clinician attitudes. METHODS: A mixed-methods approach was used to collect anonymous survey (N=35) and qualitative interview (n=12) data from Veterans Affairs REACH VET providers. RESULTS: Survey findings demonstrated largely neutral to negative attitudes towards REACH VET, with the most notable responses indicating that REACH VET identified Veterans who were already perceived to be engaged in care. Interview findings reflected a variety of attitudes, including perceived lack of added value and pessimism regarding successful outreach. Clinicians reported that the program was values-consistent and had the potential to improve the quality of care. CONCLUSIONS: Results demonstrate the need for educational interventions and improved communication between local coordinators and clinicians. Clinicians rarely discussed fears about the algorithmic approach, but they highlighted concerns about the value that this approach added to their role. Future evaluations are needed to examine additional sustainment issues.

An examination of suicidal behaviour among veterans receiving mental-health appointments in person versus clinical video telehealth.

INTRODUCTION: The US Department of Veterans Affairs (VA) is a national leader in the implementation of clinical video telehealth (CVT) services. Despite the growth of mental-health services offered via CVT, it is unclear to what extent these services are offered and accessed by veterans with previous suicidal behaviour. METHODS: The current quality improvement project examined this question within a local VA health-care system using data from suicide behaviour reports (SBRs), the Veteran Health Administration's official reporting and surveillance system. The frequency of SBRs was compared during two different time points among veterans who received individual mental-health appointments in person only or via CVT during the 2017 calendar year. Among veterans with a SBR, time in days elapsed from their first mental-health appointment to a SBR was examined as a function of treatment modality. RESULTS: Results indicated veterans who received in-person treatment only were more likely to present with a SBR six months prior to their first mental-health appointment compared to those who received CVT during the observation period. There were no differences in SBRs during the 12 months after the first appointment or the time from the first appointment to the SBR as a function of treatment modality used. DISCUSSION: Although veterans who received in-person mental-health services were more likely to have had a SBR six months prior to treatment, suicide risk throughout the observation period did not differ between groups. Clinical implications that arise from these findings are described in the discussion.

Personalized networks of social anxiety disorder and depression and implications for treatment.

INTRODUCTION: Social anxiety disorder (SAD) and major depressive disorder (MDD) often co-occur; however, there is limited research evaluating how cognitive-affective and behavioral factors maintain SAD and MDD for specific individuals. Evidence suggests that individuals exhibit symptom-level heterogeneity, necessitating a person-specific approach to assessment and intervention. We compared group and person-specific models of SAD-MDD comorbidity and hypothesized that individuals would demonstrate person-specific patterns of comorbidity factors that differed from the group. METHODS: Cisgender women (N = 35) with SAD and a current or past major depressive episode were recruited. Ages ranged from 18 to 37 years old and a majority of women were White (n = 18; 51.43%). Brief ecological momentary assessment surveys related to SAD-MDD comorbidity were administered five times a day for a month (T = 4,357). RESULTS: Multilevel and person-specific network analyses were used to examine between-, within-, and person-specific patterns. Intra-daily depressed mood demonstrated the strongest connections to other variables and exhibited additional, unexpected temporal effects. All models demonstrated person-specific patterns relevant to SAD-MDD comorbidity. LIMITATIONS: These results are descriptive in nature from women with a similar psychiatric profile. Future research integrating intensive EMA and personalized modeling within the context of experimental design is needed to determine the extent to which individuals truly differ from the group. CONCLUSIONS: Patterns of SAD-MDD comorbidity varied substantially across women, underscoring the potential for results from person-specific (idiographic) networks to inform the development and implementation of personalized directives for clinical assessment and intervention.

Examining Associations Between Negative Affect and Substance Use in Treatment-Seeking Samples: A Review of Studies Using Intensive Longitudinal Methods.

Purpose of Review: Understanding dynamic relationships between negative affect and substance use disorder (SUD) outcomes, including craving, may help inform adaptive and personalized interventions. Recent studies using intensive longitudinal methods were reviewed to examine relationships between negative affect and the outcomes of either craving or substance use during and following SUD treatment. Recent Findings: Results on associations between negative affect and craving/substance use were mixed and difficult to synthesize, given methodological differences across studies. The strength and direction of these relationships varied across outcomes, subgroups, contexts, and time course. Summary: The current literature is mixed concerning negative affect and craving/substance use associations during and following SUD treatment. Researchers should increasingly recruit diverse individuals, for example, samples of varying racial and ethnic backgrounds and those reporting co-occurring disorders and polysubstance use. Experimental, qualitative, and person-specific methods will improve our understanding of relationships between negative affect and substance-related outcomes during SUD treatment.

Social Anxiety Disorder and Social Support Behavior in Friendships.

Relationship quality is a strong predictor of health outcomes, and individuals with social anxiety disorder (SAD) report increased interpersonal impairment. However, there are few studies testing the effect of SAD on friendships and it is thus unclear whether there are behavioral differences that distinguish friendships in which a target individual has SAD from friendships in which the target individual does not have SAD. We tested for differences in the provision and receipt of support behaviors as a function of having a SAD diagnosis and accounting for comorbid depressive symptoms. Participants with SAD (n = 90) and their friends engaged in support conversations that were coded using the Social Support Interaction Coding System. Structural equation modeling revealed some differences between participants and friends when accounting for depression. Specifically, friends of participants with SAD and comorbid depression engaged in fewer positive helper behaviors than the friends of participants who did not have SAD or comorbid depression. Additionally, dyads in which the primary participant had SAD engaged in more off-task behaviors. Results suggest that SAD does not result in global interpersonal impairment, but that receipt of positive support behaviors from friends may differ as a function of SAD and comorbid depression. Interpersonal interventions aimed at increasing adaptive friendships and aspects of CBT that target subtle avoidance (e.g., safety behaviors) may be useful in facilitating more satisfactory relationships for these individuals.

Feasibility and utility of idiographic models in the clinic: A pilot study.

AbstractIntroduction: Idiographic, or individual-level, methodology has been touted for its potential clinical utility. Empirically modeling relationships between symptoms for a single individual may offer both the client and therapist information that is useful for case conceptualization and treatment planning. However, few studies have investigated the feasibility and utility of integrating idiographic models in a clinical setting.Methods: Clients (n = 12) completed ecological momentary assessment regarding psychological symptoms five times per day for three weeks. Clients also generated predictions about the associative and directed relationships in their networks. Graphical vector autoregression was used to generate contemporaneous and directed networks from each client's data, and both clients and therapists completed self-report questionnaires regarding the feasibility and utility of these methods.Results: Results indicated that the idiographic model structures varied widely across participants and differed markedly from the client's own predictions. Clients found the models useful, whereas their therapists demonstrated a more tempered response.Discussion: These results echo previous findings suggesting that clients are willing to complete intensive data collection and are interested in the output, whereas therapists may be less open to idiographic methods. We provide recommendations for future implementation of personalized models in clinical settings.

Interpersonal problems in social anxiety disorder across different relational contexts.

People with social anxiety disorder (SAD) frequently report interpersonal problems across various domains; however, it is unclear whether these problems are observable by others or represent negatively biased self-report. We assessed the interpersonal problems of people with and without SAD using self-report, friend, and romantic partner report. We hypothesized that SAD diagnosis would predict self-reported problems across multiple interpersonal domains, but restricted domains of informant report. Additionally, we hypothesized that diagnosis would predict discrepancy between self and informant report either in the form of a bias toward reporting more problems or in the form of lack of concordance between self and informant reporters. Using structural equation and multilevel models, we found evidence for differences between people with and without SAD in terms of domains of impairment observed by self and informants as well as differences in correspondence across relationship types. Results highlight the utility of multi-informant assessment of SAD.