1
|
Zhang Y, Li D, Li X, Zhou X, Newman G. The integration of geographic methods and ecological momentary assessment in public health research: A systematic review of methods and applications. Soc Sci Med 2024; 354:117075. [PMID: 38959816 DOI: 10.1016/j.socscimed.2024.117075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 06/16/2024] [Accepted: 06/23/2024] [Indexed: 07/05/2024]
Abstract
With the widespread prevalence of mobile devices, ecological momentary assessment (EMA) can be combined with geospatial data acquired through geographic techniques like global positioning system (GPS) and geographic information system. This technique enables the consideration of individuals' health and behavior outcomes of momentary exposures in spatial contexts, mostly referred to as "geographic ecological momentary assessment" or "geographically explicit EMA" (GEMA). However, the definition, scope, methods, and applications of GEMA remain unclear and unconsolidated. To fill this research gap, we conducted a systematic review to synthesize the methodological insights, identify common research interests and applications, and furnish recommendations for future GEMA studies. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines to systematically search peer-reviewed studies from six electronic databases in 2022. Screening and eligibility were conducted following inclusion criteria. The risk of bias assessment was performed, and narrative synthesis was presented for all studies. From the initial search of 957 publications, we identified 47 articles included in the review. In public health, GEMA was utilized to measure various outcomes, such as psychological health, physical and physiological health, substance use, social behavior, and physical activity. GEMA serves multiple research purposes: 1) enabling location-based EMA sampling, 2) quantifying participants' mobility patterns, 3) deriving exposure variables, 4) describing spatial patterns of outcome variables, and 5) performing data linkage or triangulation. GEMA has advanced traditional EMA sampling strategies and enabled location-based sampling by detecting location changes and specified geofences. Furthermore, advances in mobile technology have prompted considerations of additional sensor-based data in GEMA. Our results highlight the efficacy and feasibility of GEMA in public health research. Finally, we discuss sampling strategy, data privacy and confidentiality, measurement validity, mobile applications and technologies, and GPS accuracy and missing data in the context of current and future public health research that uses GEMA.
Collapse
Affiliation(s)
- Yue Zhang
- Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX, USA.
| | - Dongying Li
- Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX, USA
| | - Xiaoyu Li
- Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX, USA
| | - Xiaolu Zhou
- Department of Geography, Texas Christian University, Fort Worth, Texas, USA
| | - Galen Newman
- Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX, USA
| |
Collapse
|
2
|
Parrish EM, Chalker S, Cano M, Harvey PD, Taylor CT, Pinkham A, Moore RC, Ackerman RA, Depp CA. Ecological Momentary Assessment of Social Approach and Avoidance Motivations in Serious Mental Illness: Connections to Suicidal Ideation and Symptoms. Arch Suicide Res 2024; 28:123-140. [PMID: 36377277 PMCID: PMC10183051 DOI: 10.1080/13811118.2022.2137445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
AIM People with serious mental illness (SMI) are at an increased risk for suicide. Social approach and avoidance motivations are linked to social functioning, and social isolation is a risk factor for suicide. This study uses ecological momentary assessment (EMA) to understand social approach and avoidance motivations in relation to symptoms and suicidal ideation (SI). METHODS Participants (N = 128) diagnosed with schizophrenia, schizoaffective disorder, or a mood disorder with psychotic features completed assessments of SI and symptoms at baseline. They completed EMA surveys 3×/day for 10 days. EMA surveys included questions about approach and avoidance motivations and psychotic symptoms. Participants were split into four groups based on the median scores of approach and avoidance. RESULTS Participants with SI at baseline had higher mean social avoidance motivation, t(126) = 2.84, p = .003, and lower mean social approach motivation, t(126) = -2.44, p = .008, than participants without baseline SI. Greater baseline positive symptoms were related to greater mean avoidance, r = .231, p = .009, but not approach motivation. The low approach/high avoidance group had significantly higher current SI than those with high approach/low avoidance (p < .001). Overall, the low approach/high avoidance group reported more EMA-measured voices than the low approach/low avoidance group (p < .001) and the high approach/low avoidance group (p < .001). Similarly, the low approach/high avoidance group reported more EMA-measured suspiciousness than the low approach/low avoidance (p < .001) and the high approach/low avoidance groups (p < .001). CONCLUSION The results of this study point to the role of social approach and avoidance motivations in relation to SI and psychotic symptoms. Clinically, exposure therapies and cognitive behavioral therapies may help to address these social approach and avoidance processes linked to SI.
Collapse
Affiliation(s)
- Emma M. Parrish
- San Diego State University / University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, California
| | - Samantha Chalker
- University of California San Diego Department of Psychiatry, San Diego, California
- Veterans Affairs San Diego Healthcare System, San Diego, California
| | - Mayra Cano
- University of California San Diego Department of Psychiatry, San Diego, California
- University of Pittsburgh School of Nursing, Pittsburgh, Pennsylvania
| | - Philip D. Harvey
- University of Miami Miller School of Medicine, Miami, Florida, Research Service Miami VA Medical Center, Miami, FL
| | - Charles T. Taylor
- University of California San Diego Department of Psychiatry, San Diego, California
| | - Amy Pinkham
- The University of Texas at Dallas, Richardson, TX
| | - Raeanne C. Moore
- University of California San Diego Department of Psychiatry, San Diego, California
| | | | - Colin A. Depp
- University of California San Diego Department of Psychiatry, San Diego, California
- Veterans Affairs San Diego Healthcare System, San Diego, California
| |
Collapse
|
3
|
Strauss GP, Zamani-Esfahlani F, Raugh IM, Luther L, Sayama H. Network analysis of discrete emotional states measured via ecological momentary assessment in schizophrenia. Eur Arch Psychiatry Clin Neurosci 2023; 273:1863-1871. [PMID: 37278749 DOI: 10.1007/s00406-023-01623-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 05/22/2023] [Indexed: 06/07/2023]
Abstract
Prior studies demonstrate that schizophrenia (SZ) is associated with abnormalities in positive and negative emotional experience that predict clinical presentation. However, it is unclear whether specific discrete emotions within the broader positive/negative categories are driving those symptom associations. Further, it is also unclear whether specific emotions contribute to symptoms in isolation or via networks of emotional states that dynamically interact across time. The current study used network analysis to evaluate temporally dynamic interactions among discrete emotional states experienced in the real world as assessed via Ecological Momentary Assessment (EMA). Participants included 46 outpatients with chronic SZ and 52 demographically matched healthy controls (CN) who completed 6 days of EMA that captured reports of emotional experience and symptoms derived from monetary surveys and geolocation based symptom markers of mobility and home location. Results indicated that less dense emotion networks were associated with greater severity of negative symptoms, whereas more dense emotion networks were associated with more severe positive symptoms and mania. Additionally, SZ evidenced greater centrality for shame, which was associated with greater severity of positive symptoms. These findings suggest that positive and negative symptoms are associated with distinct profiles of temporally dynamic and interactive emotion networks in SZ. Findings have implications for adapting psychosocial therapies to target specific discrete emotional states in the treatment of positive versus negative symptoms.
Collapse
Affiliation(s)
- Gregory P Strauss
- Department of Psychology, University of Georgia, 125 Baldwin St., Athens, GA, 30602, USA.
| | | | - Ian M Raugh
- Department of Psychology, University of Georgia, 125 Baldwin St., Athens, GA, 30602, USA
| | - Lauren Luther
- Department of Psychology, University of Georgia, 125 Baldwin St., Athens, GA, 30602, USA
| | - Hiroki Sayama
- Department of Systems Science and Industrial Engineering, Binghamton University, Binghamton, NY, USA
| |
Collapse
|
4
|
Parrish EM, Harvey PD, Ackerman RA, Moore RC, Depp CA, Gagnier M, Pinkham AE. The Tripartite Model of Depression in Schizophrenia and Bipolar Disorder: A Secondary Analysis. J Nerv Ment Dis 2023; 211:841-847. [PMID: 37734155 PMCID: PMC10615707 DOI: 10.1097/nmd.0000000000001714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/23/2023]
Abstract
ABSTRACT Models of affect, like the tripartite model, suggest that positive affect (PA) and negative affect (NA) are independent between subjects and negatively correlated within. Correlations may differ in bipolar disorder (BD) and schizophrenia. Using ecological momentary assessment (EMA) and clinical ratings, this secondary analysis evaluated the tripartite model by examining PA and NA. Two hundred eighty-one participants with BD or a psychotic disorder completed 30 days of EMA of PA and NA, and clinical raters assessed depression. PA and NA were more related between subjects and less related within subjects among participants with schizophrenia. In BD, lower momentary PA was positively associated with clinical ratings of depression, although greater momentary NA was not significantly associated with clinical ratings. In schizophrenia, the inverse was found. These results suggest that the tripartite model was not confirmed in people with schizophrenia or BD. However, PA and NA manifested associations in BD that were more congruent with population studies than in schizophrenia. These findings may have implications for clinical interventions targeting depression, PA, and NA in these populations.
Collapse
Affiliation(s)
- Emma M. Parrish
- San Diego State University / University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, California
| | - Philip D. Harvey
- University of Miami Miller School of Medicine, Miami, Florida, Research Service Miami VA Medical Center, Miami, FL
| | | | - Raeanne C. Moore
- University of California San Diego Department of Psychiatry, San Diego, California
| | - Colin A. Depp
- University of California San Diego Department of Psychiatry, San Diego, California
- Veterans Affairs San Diego Healthcare System, San Diego, California
| | - Marc Gagnier
- University of Miami Miller School of Medicine, Miami, Florida, Research Service Miami VA Medical Center, Miami, FL
| | | |
Collapse
|
5
|
Zarbo C, Zamparini M, Patrono A, Calini C, Harvey PD, Casiraghi L, Clerici M, Malvezzi M, Rocchetti M, Starace F, de Girolamo G. Ecological monitoring of emotional intensity, variability, and instability in individuals with schizophrenia spectrum disorders: Results of a multicentre study. Int J Methods Psychiatr Res 2023; 33:e1992. [PMID: 37728161 PMCID: PMC10804261 DOI: 10.1002/mpr.1992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 07/13/2023] [Accepted: 08/28/2023] [Indexed: 09/21/2023] Open
Abstract
BACKGROUND Evaluating emotional experiences in the life of people with Schizophrenia Spectrum Disorder (SSD) is fundamental for developing interventions aimed at promoting well-being in specific times and contexts. However, little is known about emotional variability in this population. In DiAPAson project, we evaluated between- and within-person differences in emotional intensity, variability, and instability between people with SSD and healthy controls, and the association with psychiatric severity and levels of functioning. METHODS 102 individuals diagnosed with SSD (57 residential patients, 46 outpatients) and 112 healthy controls were thoroughly evaluated. Daily emotions were prospectively assessed with Experience Sampling Method eight times a day for a week. Statistical analyses included ANOVA, correlations, and generalized linear models. RESULTS Participants with SSD, and especially residential patients, had a higher intensity of negative emotions when compared to controls. Moreover, all people with SSD reported a greater between-person-variability of both positive and negative emotions and greater intra-variability of negative emotions than healthy controls. In addition, the emotion variability in people with SSD does not follow a linear or quadratic trend but is more "chaotic" if compared to controls. CONCLUSIONS Adequate assessments of positive and negative emotional experiences and their time course in people with SSD can assist mental health professionals with well-being assessment, implementing targeted interventions through the identification of patterns, triggers, and potential predictors of emotional states.
Collapse
Affiliation(s)
- Cristina Zarbo
- Department of PsychologyUniversity of Milano BicoccaMilanItaly
| | - Manuel Zamparini
- Unit of Epidemiological and Evaluation PsychiatryIRCCS Istituto Centro San Giovanni di Dio FatebenefratelliBresciaItaly
| | - Alessandra Patrono
- Unit of Epidemiological and Evaluation PsychiatryIRCCS Istituto Centro San Giovanni di Dio FatebenefratelliBresciaItaly
- Department of Molecular and Translational MedicineUniversity of BresciaBresciaItaly
| | - Cosima Calini
- Department of Medicine and SurgeryUniversity of Milan BicoccaMonzaItaly
| | - Philip D. Harvey
- Department of Psychiatry and Behavioral SciencesUniversity of Miami Miller School of MedicineMiamiFloridaUSA
| | - Letizia Casiraghi
- Department of Brain and Behavioural SciencesUniversity of PaviaPaviaItaly
- Department of Mental Health and DependenceASST of PaviaPaviaItaly
| | - Massimo Clerici
- Department of Medicine and SurgeryUniversity of Milan BicoccaMonzaItaly
| | - Matteo Malvezzi
- Department of Clinical Sciences and Community HealthUniversity of MilanMilanItaly
| | - Matteo Rocchetti
- Department of Brain and Behavioural SciencesUniversity of PaviaPaviaItaly
- Department of Mental Health and DependenceASST of PaviaPaviaItaly
| | - Fabrizio Starace
- Department of Mental Health and DependenceAUSL of ModenaModenaItaly
| | - Giovanni de Girolamo
- Unit of Epidemiological and Evaluation PsychiatryIRCCS Istituto Centro San Giovanni di Dio FatebenefratelliBresciaItaly
| | | |
Collapse
|
6
|
Luther L, Raugh IM, Collins DE, Knippenberg AR, Strauss GP. Negative symptoms in schizophrenia differ across environmental contexts in daily life. J Psychiatr Res 2023; 161:10-18. [PMID: 36893666 PMCID: PMC10149609 DOI: 10.1016/j.jpsychires.2023.02.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 01/23/2023] [Accepted: 02/28/2023] [Indexed: 03/11/2023]
Abstract
A recent environmental theory of negative symptoms posits that environmental contexts (e.g., location, social partner) play a significant-yet often unaccounted for-role in negative symptoms of schizophrenia (SZ). "Gold-standard" clinical rating scales offer limited precision for evaluating how contexts impact symptoms. To overcome some of these limitations, Ecological Momentary Assessment (EMA) was used to determine whether there were state fluctuations in experiential negative symptoms (anhedonia, avolition, and asociality) in SZ across contexts (locations, activities, social interaction partner, social interaction method). Outpatients with SZ (n = 52) and healthy controls (CN: n = 55) completed 8 daily EMA surveys for 6 days assessing negative symptom domains (anhedonia, avolition, and asociality) and contexts. Multilevel modeling demonstrated that negative symptoms varied across location, activity, social interaction partner, and social interaction method. For the majority of contexts, SZ and CN did not report significantly different levels of negative symptoms, with SZ only reporting higher negative symptoms than CN while eating, resting, interacting with a significant other, or being at home. Further, there were several contexts where negative symptoms were similarly reduced (e.g., recreation, most social interactions) or elevated (e.g., using the computer, working, running errands) in each group. Results demonstrate that experiential negative symptoms dynamically change across contexts in SZ. Some contexts may "normalize" experiential negative symptoms in SZ, while other contexts, notably some used to promote functional recovery, may increase experiential negative symptoms.
Collapse
Affiliation(s)
- Lauren Luther
- Department of Psychology, University of Georgia, Athens, GA, USA.
| | - Ian M Raugh
- Department of Psychology, University of Georgia, Athens, GA, USA
| | | | | | | |
Collapse
|
7
|
Parrish EM, Harvey PD, Ackerman RA, Pinkham AE, Depp CA, Holden J, Granholm E. Time-course and convergence of positive and negative moods in participants with schizophrenia: An ecological momentary assessment study. J Psychiatr Res 2023; 159:76-81. [PMID: 36689853 DOI: 10.1016/j.jpsychires.2023.01.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 10/11/2022] [Accepted: 01/18/2023] [Indexed: 01/21/2023]
Abstract
INTRODUCTION Many people with schizophrenia report low levels of negative affect (NA), which may reflect biases in emotion processing. In the general population there is an inverse correlation between positive affect (PA) and NA. It is possible that this relationship is different among people with schizophrenia. This study aims to understand the relationship between PA and NA among people with schizophrenia, and explore PA and NA variability in relationship to social context. METHOD 105 participants with schizophrenia answered ecological momentary assessment (EMA) surveys seven times/day for seven days. They reported their experiences of mood states on a scale of one to seven: happiness, sadness, relaxation, and anxiety, as well as their social context (alone vs. with someone). Mood variability was calculated using the mean square of successive difference, and multilevel modeling was used to understand the time-course of reported moods within- and between-person. RESULTS 45% of surveys reported the absence of NA, though there was an inverse within-subjects correlation between PA and NA. Between-subjects, there was a large inverse correlation between PA and NA. Greater mood variability was associated with a greater number of social interactions. DISCUSSION The results of this study point to both the role of social context in mood variability, and momentary trends in mood experiences, with some individuals reporting no NA, some indicating both PA and NA, and some indicating a more normative affect pattern. Later research should address the possible impact of emotion perception bias and social interactions on moods states in schizophrenia.
Collapse
Affiliation(s)
- Emma M Parrish
- San Diego State University, University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA.
| | - Philip D Harvey
- University of Miami Miller School of Medicine, Research Service Miami VA Medical Center, Miami, FL, USA
| | | | | | - Colin A Depp
- University of California San Diego Department of Psychiatry, San Diego, CA, USA; Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
| | - Jason Holden
- University of California San Diego Department of Psychiatry, San Diego, CA, USA
| | - Eric Granholm
- University of California San Diego Department of Psychiatry, San Diego, CA, USA; Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
| |
Collapse
|
8
|
Dalkner N, Moore RC, Depp CA, Ackerman RA, Pinkham AE, Harvey PD. Negative mood states as a correlate of cognitive performance and self-assessment of cognitive performance in bipolar disorder versus schizophrenia. Schizophr Res 2023; 252:1-9. [PMID: 36608492 PMCID: PMC9974828 DOI: 10.1016/j.schres.2022.12.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 08/15/2022] [Accepted: 12/27/2022] [Indexed: 01/06/2023]
Abstract
INTRODUCTION Mood states have been reported to manifest a cross-sectional correlation with self-assessment accuracy across functional domains and psychiatric conditions. Ecological momentary assessment (EMA) provides a strategy to examine the momentary course and correlates of mood states. This study tested the association of moods assessed longitudinally with accuracy of immediate self-assessments of cognitive test performance in participants with schizophrenia and bipolar disorder. METHODS 240 well-diagnosed participants with schizophrenia and bipolar disorder completed a subset of tests from the MATRICS Consensus Cognitive Battery and an immediate self-assessment of cognitive performance. Differences between actual and self-reported performance were used to index the accuracy of self-assessment. Daily smartphone EMA, 3× per day for 30 days, sampled participants´ momentary moods (sad, happy, relaxed, anxious), aggregated into positive affect and negative affect (NA). RESULTS Bipolar participants had better cognitive performance, but both samples had equivalent mis-estimation. Repeated-measures analyses found that NA did not manifest significant variability over time either between or within participants in the two diagnostic groups. Within-group analyses found that higher average NA was associated with greater mis-estimation and poorer cognitive performance in participants with bipolar disorder, but not in those with schizophrenia. CONCLUSION Negative moods had a significant association with impairments in self-assessment of cognitive performance in participants with bipolar disorder. Our study did not confirm previous cross-sectional findings of more accurate self-assessment associated with greater NA in schizophrenia. These findings suggest that cross-sectional assessments, particularly self-reports, may lead to different results than aggregated data from longitudinal evaluations.
Collapse
Affiliation(s)
- Nina Dalkner
- Medical University Graz, Austria; University of Miami Miller School of Medicine, Miami, FL, USA
| | | | - Colin A Depp
- UCSD Health Sciences Center, La Jolla, CA, USA; San Diego VA Medical Center La Jolla, CA, USA
| | | | | | - Philip D Harvey
- University of Miami Miller School of Medicine, Miami, FL, USA; Bruce W. Carter VA Medical Center, Miami, FL, USA.
| |
Collapse
|
9
|
Mow JL, Gard DE, Mueser KT, Mote J, Gill K, Leung L, Kangarloo T, Fulford D. Smartphone-based mobility metrics capture daily social motivation and behavior in schizophrenia. Schizophr Res 2022; 250:13-21. [PMID: 36242786 PMCID: PMC10372850 DOI: 10.1016/j.schres.2022.09.025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 07/22/2022] [Accepted: 09/24/2022] [Indexed: 12/12/2022]
Abstract
Impaired social functioning contributes to reduced quality of life and is associated with poor physical and psychological well-being in schizophrenia, and thus is a key psychosocial treatment target. Low social motivation contributes to impaired social functioning, but is typically examined using self-report or clinical ratings, which are prone to recall biases and do not adequately capture the dynamic nature of social motivation in daily life. In the current study, we examined the utility of global positioning system (GPS)-based mobility data for capturing social motivation and behavior in people with schizophrenia. Thirty-one participants with schizophrenia engaged in a 60-day mobile intervention designed to increase social motivation and functioning. We examined associations between twice daily self-reports of social motivation and behavior (e.g., number of social interactions) collected via Ecological Momentary Assessment (EMA) and passively collected daily GPS mobility metrics (e.g., number of hours spent at home) in 26 of these participants. Findings suggested that greater mobility on a given day was associated with more EMA-reported social interactions on that day for four out of five examined mobility metrics: number of hours spent at home, number of locations visited, probability of being stationary, and likelihood of following one's typical routine. In addition, greater baseline social functioning was associated with less daily time spent at home and lower probability of following a daily routine during the intervention. GPS-based mobility thus corresponds with social behavior in daily life, suggesting that more social interactions may occur at times of greater mobility in people with schizophrenia, while subjective reports of social interest and motivation are less associated with mobility for this population.
Collapse
Affiliation(s)
- Jessica L Mow
- Sargent College of Health and Rehabilitation Sciences, Boston University, 635 Commonwealth Avenue, Boston, MA, 02215, USA.
| | - David E Gard
- Psychology Department, San Francisco State University, 1600 Holloway Avenue, San Francisco, CA 94132, USA
| | - Kim T Mueser
- Sargent College of Health and Rehabilitation Sciences, Boston University, 635 Commonwealth Avenue, Boston, MA, 02215, USA
| | - Jasmine Mote
- Sargent College of Health and Rehabilitation Sciences, Boston University, 635 Commonwealth Avenue, Boston, MA, 02215, USA
| | - Kathryn Gill
- Sargent College of Health and Rehabilitation Sciences, Boston University, 635 Commonwealth Avenue, Boston, MA, 02215, USA
| | - Lawrence Leung
- Psychology Department, San Francisco State University, 1600 Holloway Avenue, San Francisco, CA 94132, USA
| | - Tairmae Kangarloo
- Sargent College of Health and Rehabilitation Sciences, Boston University, 635 Commonwealth Avenue, Boston, MA, 02215, USA
| | - Daniel Fulford
- Sargent College of Health and Rehabilitation Sciences, Boston University, 635 Commonwealth Avenue, Boston, MA, 02215, USA
| |
Collapse
|
10
|
Morgan O, Strassnig MT, Moore RC, Depp CA, Ackerman RA, Pinkham AE, Harvey PD. Accuracy of immediate self-assessment of neurocognitive test performance: Associations with psychiatric diagnosis and longitudinal psychotic symptoms. J Psychiatr Res 2022; 156:594-601. [PMID: 36372002 PMCID: PMC9899150 DOI: 10.1016/j.jpsychires.2022.10.069] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 10/28/2022] [Accepted: 10/31/2022] [Indexed: 11/06/2022]
Abstract
Participants with schizophrenia (SCZ) and bipolar disorder (BD) have challenges in self-evaluation of their cognitive and functional abilities, referred to as introspective accuracy (IA). Although psychotic symptoms are commonly found to be uncorrelated with cognitive performance, many models of the development of delusions focus on failures in self-assessment and responses biases during momentary monitoring. We performed a single 4-test cognitive assessment on 240 participants (schizophrenia n = 126; bipolar disorder n = 114) and asked them to make a judgment about their performance immediately after completion of each task. We related performance and these judgments to results of Ecological Momentary Assessments (EMA) of the momentary occurrence of psychotic symptoms (Voices, paranoid ideas, other delusions) collected over up to 90 surveys over a 30 days prior to the single cognitive assessment. We examined test performance and the accuracy of self-assessment at that assessment, looking at diagnostic differences in performance and mis-estimation of performance. Participants with bipolar disorder had better cognitive performance, but there were no differences in mis-estimation. Analyses of the correlation between cognitive performance and self-assessment were all significant and better cognitive performance predicted reduced errors in self-assessment. Examination of the 30-day course of psychotic symptoms and IA could only be performed in participants with schizophrenia, revealing correlations between more common occurrences of all three psychotic symptoms and increased absolute values for IA errors. These data are consistent with theories of cognitive response biases and the formation of delusions.
Collapse
Affiliation(s)
- Orly Morgan
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, 1120 NW 14th Street, Suite 1450, Miami, FL, 33136, USA
| | - Martin T Strassnig
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, 1120 NW 14th Street, Suite 1450, Miami, FL, 33136, USA
| | - Raeanne C Moore
- Department of Psychiatry, University of California, San Diego, CA, USA; VA San Diego Healthcare System, San Diego, CA, USA
| | - Colin A Depp
- Department of Psychiatry, University of California, San Diego, CA, USA; VA San Diego Healthcare System, San Diego, CA, USA
| | - Robert A Ackerman
- School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA
| | - Amy E Pinkham
- School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA
| | - Philip D Harvey
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, 1120 NW 14th Street, Suite 1450, Miami, FL, 33136, USA; Research Service, Miami VA Healthcare System, Miami, FL, USA.
| |
Collapse
|
11
|
Martinuzzi LJ, Strassnig MT, Depp CA, Moore RC, Ackerman R, Pinkham AE, Harvey PD. A closer look at avolition in schizophrenia and bipolar disorder: Persistence of different types of activities over time. Schizophr Res 2022; 250:188-195. [PMID: 36436498 PMCID: PMC9810384 DOI: 10.1016/j.schres.2022.11.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 07/18/2022] [Accepted: 11/15/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND Avolition is associated cross-diagnostically with extensive functional impairment. Participants with schizophrenia and bipolar disorder (BD) engage in fewer productive activities than healthy controls, with more sedentary activities such as sitting. We examined the temporal variability in activities of participants with schizophrenia and bipolar disorder, focusing on persistence of activities and the likelihood of performing more than one activity at a time. METHODS 101 participants with schizophrenia and 76 participants with BD were sampled 3 times per day for 30 days utilizing Ecological Momentary Assessment surveys. Each survey queried current activities along with questions about who they were with and if they were home or away and moods. We separated activities into productive, unproductive, or passive recreational categories. RESULTS Participants with schizophrenia and bipolar disorder reported one activity on most surveys, with that activity commonly being passive or unproductive. No participant reported engaging in more than one productive activity. Productive activities were more likely to occur away from home, with 17 % of surveys from home reporting productive activities. All three activities were persistent, but passive and unproductive activities were more likely than productive activities to be persistent at home. Negative mood states predicted unproductive and passive activities in BD participants only. DISCUSSION The low numbers of activities, combined with persistence of unproductive and passive activities highlights the impact of avolition. Most persistent activities reflected sedentary behavior. People with schizophrenia or bipolar disorder may benefit from interventions targeting leaving home more often to improve their general levels of functioning and overall health.
Collapse
Affiliation(s)
| | - Martin T Strassnig
- Department of Psychiatry, University of Miami Miller School of Medicine, USA
| | - Colin A Depp
- Department of Psychiatry UCSD Medical Center, USA; San Diego VA Healthcare System, USA
| | | | - Robert Ackerman
- Department of Psychology, University of Texas at Dallas, USA
| | - Amy E Pinkham
- Department of Psychology, University of Texas at Dallas, USA; Department of Psychiatry, UT Southwestern Medical Center, USA
| | - Philip D Harvey
- Department of Psychiatry, University of Miami Miller School of Medicine, USA; Research Service, Bruce W. Carter VA Medical Center, Miami, FL, USA.
| |
Collapse
|
12
|
Harvey PD, Depp CA, Rizzo AA, Strauss GP, Spelber D, Carpenter LL, Kalin NH, Krystal JH, McDonald WM, Nemeroff CB, Rodriguez CI, Widge AS, Torous J. Technology and Mental Health: State of the Art for Assessment and Treatment. Am J Psychiatry 2022; 179:897-914. [PMID: 36200275 DOI: 10.1176/appi.ajp.21121254] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Technology is ubiquitous in society and is now being extensively used in mental health applications. Both assessment and treatment strategies are being developed and deployed at a rapid pace. The authors review the current domains of technology utilization, describe standards for quality evaluation, and forecast future developments. This review examines technology-based assessments of cognition, emotion, functional capacity and everyday functioning, virtual reality approaches to assessment and treatment, ecological momentary assessment, passive measurement strategies including geolocation, movement, and physiological parameters, and technology-based cognitive and functional skills training. There are many technology-based approaches that are evidence based and are supported through the results of systematic reviews and meta-analyses. Other strategies are less well supported by high-quality evidence at present, but there are evaluation standards that are well articulated at this time. There are some clear challenges in selection of applications for specific conditions, but in several areas, including cognitive training, randomized clinical trials are available to support these interventions. Some of these technology-based interventions have been approved by the U.S. Food and Drug administration, which has clear standards for which types of applications, and which claims about them, need to be reviewed by the agency and which are exempt.
Collapse
Affiliation(s)
- Philip D Harvey
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Colin A Depp
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Albert A Rizzo
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Gregory P Strauss
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - David Spelber
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Linda L Carpenter
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Ned H Kalin
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - John H Krystal
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - William M McDonald
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Charles B Nemeroff
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Carolyn I Rodriguez
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Alik S Widge
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - John Torous
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| |
Collapse
|
13
|
Perez MM, Tercero BA, Durand F, Gould F, Moore RC, Depp CA, Ackerman RA, Pinkham AE, Harvey PD. Revisiting how People with Schizophrenia Spend Their Days: Associations of lifetime milestone Achievements with Daily Activities examined with Ecological Momentary Assessment. PSYCHIATRY RESEARCH COMMUNICATIONS 2022; 2:100060. [PMID: 36118412 PMCID: PMC9477426 DOI: 10.1016/j.psycom.2022.100060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Milestone achievements are reduced in people with schizophrenia and are lower in comparison to people with bipolar disorder. However, it is not clear what the implications are for engagement in momentary activities based on milestone achievements. Further, some recent research has suggested that psychotic symptoms are associated with challenges in self-assessment of activities, but there is less information about the correlations of milestone achievements and ongoing psychotic symptoms. We examined momentary activities and symptoms as a function of lifetime milestone achievement in 102 individuals with schizophrenia and 71 with bipolar disorder. Ecological Momentary Assessment (EMA) was used to sample daily activities and concurrent symptoms 3 times per day for 30 days. Each survey asked the participant where they were, who they were with, and what they were doing, as well as sampling the concurrent presence of psychotic symptoms. Not being financially responsible for their residence was associated with engaging in fewer productive activities. Participants who never had a relationship were more commonly home and alone and engaged in fewer social interactions. A lifetime history of employment was correlated with engaging in more productive activities, including at home. More common momentary psychosis was seen in participants who failed to achieve each of the functional milestones. Lifetime milestone achievements were associated with greater frequencies of productive behaviors and with fewer momentary experiences of psychosis, suggesting that psychotic symptoms may have importance for sustaining disability that would be challenging to detect without momentary information.
Collapse
Affiliation(s)
- Michelle M. Perez
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, 1120 NW 14th Street, Suite 1450, Miami, FL 33136 USA
| | - Bianca A. Tercero
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, 1120 NW 14th Street, Suite 1450, Miami, FL 33136 USA
| | | | - Felicia Gould
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, 1120 NW 14th Street, Suite 1450, Miami, FL 33136 USA
| | - Raeanne C. Moore
- Department of Psychiatry, University of California, San Diego, California, USA
| | - Colin A. Depp
- Department of Psychiatry, University of California, San Diego, California, USA
- VA San Diego Healthcare System, San Diego, California, USA
| | - Robert A. Ackerman
- School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA
| | - Amy E. Pinkham
- School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA
- Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX, USA
| | - Philip D. Harvey
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, 1120 NW 14th Street, Suite 1450, Miami, FL 33136 USA
- Research Service, Miami VA Healthcare System, Miami, FL, USA
| |
Collapse
|
14
|
Harvey CD, C Moore R, Depp CA, Ackerman RA, Pinkham AE, Harvey PD. The association of momentary sad moods, concurrent productive behaviour, and global functional outcomes: a 30-day ecological momentary assessment study of people with bipolar illness. Cogn Neuropsychiatry 2022; 27:342-355. [PMID: 35499098 DOI: 10.1080/13546805.2022.2070464] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BACKGROUND Previous weekly sampling studies found that persistent sad moods are associated with disability in bipolar illness. However, those data were collected retrospectively. We examined the momentary quality of activities (productive, unproductive, and passive recreation) in an ecological momentary assessment (EMA) study and related sadness at each survey to quality of momentary activities and overall everyday functioning. METHODS Participants with bipolar illness (N = 91) were sampled three times per day for 30 days. Each survey queried participants as to where they were, with whom, what they were doing, and their mood state. Activities were characterised according to predetermined criteria and related to momentary sadness. Observer ratings of everyday functioning were related to daily reports of sadness and activities. RESULTS Sadness was associated with the quality of activities. Momentary reports of unproductive activities were associated with the most sadness (p < .001), followed by passive recreation, and productive activities. Momentary sadness and momentary unproductive activities correlated with observer ratings of competence in work, everyday activities, and social outcomes (p < .001). Using both predictors led to the best model. CONCLUSIONS This study on the course of sad moods in people with bipolar illness to EMA found that momentary sadness correlatesdwith the quality of concurrent activities and that both sadness and the quality of everyday activities predicted observer ratings of everyday functioning. Although we cannot determine the causal direction, these findings support the hypothesis that momentary sadness leads to reductions in productive activities and impairments in everyday functioning.
Collapse
Affiliation(s)
| | | | - Colin A Depp
- UCSD Health Sciences Center, La Jolla, CA.,San Diego VA Medical Center, La Jolla, CA
| | | | - Amy E Pinkham
- University of Texas at Dallas, Richardson, TX.,University of Texas Southwestern Medical Center, Dallas, TX
| | - Philip D Harvey
- University of Miami Miller School of Medicine, Miami, FL.,Bruce W. Carter VA Medical Center, Miami, FL
| |
Collapse
|
15
|
Miller ML, Raugh IM, Strauss GP, Harvey PD. Remote digital phenotyping in serious mental illness: Focus on negative symptoms, mood symptoms, and self-awareness. Biomark Neuropsychiatry 2022. [DOI: 10.1016/j.bionps.2022.100047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
|
16
|
Suhas S, Mehta UM. A redux of schizophrenia research in 2021. Schizophr Res 2022; 243:458-461. [PMID: 35300898 PMCID: PMC8919807 DOI: 10.1016/j.schres.2022.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 03/06/2022] [Indexed: 11/19/2022]
Affiliation(s)
- Satish Suhas
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore 560029, India
| | - Urvakhsh Meherwan Mehta
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore 560029, India.
| |
Collapse
|
17
|
Gohari E, Moore RC, Depp CA, Ackerman RA, Pinkham AE, Harvey PD. Momentary severity of psychotic symptoms predicts overestimation of competence in domains of everyday activities and work in schizophrenia: An ecological momentary assessment study. Psychiatry Res 2022; 310:114487. [PMID: 35245835 PMCID: PMC9119309 DOI: 10.1016/j.psychres.2022.114487] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 02/21/2022] [Accepted: 02/23/2022] [Indexed: 11/19/2022]
Abstract
OBJECTIVES Schizophrenia participants generate self-reports of their competencies that differ from objective information. They may base their reports on momentary moods or experiences rather than objective data. Theories of delusion formation implicate overconfidence during self-assessment as a cause. METHODS Ecological momentary assessment (EMA) was used to sample activities and experiences in 101 participants with schizophrenia up to 3 times a day for 30 days. Each survey asked where and with whom they were, what they were doing, and moods and psychotic symptoms they were experiencing. Self-reports and observer ratings of competence in work and everyday activities were collected. RESULTS Being home was associated with self-reports of better functioning in activities and work skills (p<.001) and being alone correlated with better self-reported functioning in activities (p<.001). Participants who reported more occurrences of hearing voices, paranoid ideation, and other psychotic symptoms reported their functioning as better (p<.001). IMPLICATIONS Schizophrenia was marked by a disconnect between momentary activities and self-assessments. Being home more was associated with better self-reported functioning on tasks that are only performed away from home. Psychotic symptoms were associated with overestimation, consistent with previous theories positing that overconfidence and suspension of plausibility assessment may be associated with psychotic experiences.
Collapse
Affiliation(s)
| | - Raeanne C Moore
- Department of Psychiatry, University of California, San Diego, CA, United States; VA San Diego Healthcare System, San Diego, CA, United States
| | - Colin A Depp
- Department of Psychiatry, University of California, San Diego, CA, United States; VA San Diego Healthcare System, San Diego, CA, United States
| | - Robert A Ackerman
- School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, United States
| | - Amy E Pinkham
- School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, United States; Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX, United States
| | - Philip D Harvey
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, 1120 NW 14th Street, Suite 1450, Miami, FL 33136 United States; Research Service, Miami VA Healthcare System, Miami, FL, United States.
| |
Collapse
|
18
|
Browne J, Harvey PD, Buchanan RW, Kelly DL, Strauss GP, Gold JM, Holden JL, Granholm E. A Longitudinal Examination of Real-World Sedentary Behavior in Adults with Schizophrenia-Spectrum Disorders in a Clinical Trial of Combined Oxytocin and Cognitive Behavioral Social Skills Training. Behav Sci (Basel) 2022; 12:bs12030060. [PMID: 35323379 PMCID: PMC8945120 DOI: 10.3390/bs12030060] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 02/13/2022] [Accepted: 02/18/2022] [Indexed: 12/11/2022] Open
Abstract
Sedentary behavior contributes to a shortened life expectancy in individuals with schizophrenia-spectrum disorders (SSDs), highlighting the need for effective interventions to improve health. This study examined whether reduced ecological momentary assessment (EMA) measures of sedentary activities were observed in individuals with SSDs who participated in a 24-week randomized trial of cognitive behavioral social skills training (CBSST) and either intranasal oxytocin or placebo (NCT01752712). Participants (n = 57) were prompted with EMA surveys seven times per day for seven days during the baseline, 12-week, and 24-week timepoints to sample sedentary behavior ratings, positive and negative affect, interpersonal interactions, and interpersonal interaction appraisals. Results revealed that sedentary behavior and social interactions did not significantly change over the 24-week clinical trial; however, positive and negative affect and defeatist interaction appraisals improved with treatment, and oxytocin produced modest additional improvements in these EMA outcomes. Greater momentary positive affect was significantly associated with greater activity and greater frequency of interactions. Overall, CBSST was effective at improving functioning, momentary affect, and defeatist interaction appraisals, although it did not reduce sedentary behavior; therefore, targeting these factors is not sufficient to reduce sedentary behavior, and adjunct interventions are needed.
Collapse
Affiliation(s)
- Julia Browne
- Geriatric Research, Education and Clinical Center, Durham VA Health Care System, Durham, NC 27705, USA
- Correspondence:
| | - Philip D. Harvey
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA;
- Research Service, Bruce W. Carter VA Medical Center, Miami, FL 33125, USA
| | - Robert W. Buchanan
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228, USA; (R.W.B.); (D.L.K.); (J.M.G.)
| | - Deanna L. Kelly
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228, USA; (R.W.B.); (D.L.K.); (J.M.G.)
| | | | - James M. Gold
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228, USA; (R.W.B.); (D.L.K.); (J.M.G.)
| | - Jason L. Holden
- Veterans Affairs San Diego Healthcare System, San Diego, CA 92161, USA; (J.L.H.); (E.G.)
| | - Eric Granholm
- Veterans Affairs San Diego Healthcare System, San Diego, CA 92161, USA; (J.L.H.); (E.G.)
- Department of Psychiatry, University of California San Diego School of Medicine, San Diego, CA 92093, USA
| |
Collapse
|
19
|
Dynamic contextual influences on social motivation and behavior in schizophrenia: a case-control network analysis. NPJ SCHIZOPHRENIA 2021; 7:62. [PMID: 34887402 PMCID: PMC8660790 DOI: 10.1038/s41537-021-00189-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 11/10/2021] [Indexed: 11/22/2022]
Abstract
Contextual influences on social behavior and affective dynamics are not well understood in schizophrenia. We examined the role of social context on emotions, and the motivation to interact in the future, using dynamic network analysis of ecological momentary assessment (EMA) data. Participants included 105 outpatients with schizophrenia or schizoaffective disorder (SZ) and 76 healthy comparators (HC) who completed 7 days, 7 times a day of EMA. Dynamic networks were constructed using EMA data to visualize causal interactions between emotional states, motivation, and context (e.g., location, social interactions). Models were extended to include the type and frequency of interactions and the motivation to interact in the near future. Results indicated SZ networks were generally similar to HC but that contextual influences on emotion and social motivation were more evident in SZ. Further, feedback loops in HC were likely adaptive (e.g., positive emotions leading to social motivation), but most were likely maladaptive in SZ (e.g., sadness leading to reduced happiness leading to increased sadness). Overall, these findings indicate that network analyses may be useful in specifying emotion regulation problems in SZ and that instability related to contextual influences may be a central aspect of aberrant regulation.
Collapse
|
20
|
Jones SE, Moore RC, Depp CA, Ackerman RA, Pinkham AE, Harvey PD. Daily Ecological Momentary Assessments of happy and sad moods in people with schizophrenia and bipolar disorders: What do participants who are never sad think about their activities and abilities? Schizophr Res Cogn 2021; 26:100202. [PMID: 34189061 PMCID: PMC8219985 DOI: 10.1016/j.scog.2021.100202] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 05/28/2021] [Accepted: 06/07/2021] [Indexed: 10/26/2022]
Abstract
OBJECTIVES People with schizophrenia have challenges in their self-assessments of everyday functioning and those who report no sadness also tend to overestimate their everyday functional abilities. While previous studies were cross-sectional, this study related longitudinal assessments of sadness to self-reports of abilities in domains of everyday functioning and cognitive abilities. METHODS 71 people with bipolar illness (BPI) were compared to 102 people with schizophrenia (SCZ). Participants were sampled 3 times per day for 30 days with a smartphone-based Ecological Momentary Assessment (EMA) survey. Each survey asked where they were, with whom they were, what they were doing, and if they were sad. Performance based assessments of executive functioning, social competence, and everyday activities were collected after the EMA period, at which time the participants and observers were asked to provide ratings of three different domains of everyday functioning and neurocognitive ability. RESULTS 18% of participants with SCZ reported that they were never sad on any one of the 90 EMA surveys. Reports of never being sad were associated with overestimated functioning compared to observers and SCZ participants who reported that they were never sad were more commonly home and alone than both SCZ participants who reported occasional sadness and participants with BPI. These participants reported being significantly happier than all people in the study. IMPLICATIONS Reporting that you were never sad was associated with overestimation of everyday functioning and cognitive abilities. Although participants who were never sad did not perform more poorly on objective measures than those were occasionally sad, their self-assessed functioning was significantly elevated. These data suggest that negative symptoms constructs such as reduced emotional experience need to consider reduced ability to subjectively evaluate emotional experience as a feature of negative symptoms.
Collapse
Affiliation(s)
- Sara E. Jones
- University of Miami Miller School of Medicine, Miami, FL, USA
| | | | - Colin A. Depp
- UCSD Health Sciences Center, La Jolla, CA, USA
- San Diego VA Medical Center, La Jolla, CA, USA
| | | | - Amy E. Pinkham
- University of Texas at Dallas, Richardson, TX, USA
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Philip D. Harvey
- University of Miami Miller School of Medicine, Miami, FL, USA
- Bruce W. Carter VA Medical Center, Miami, FL, USA
| |
Collapse
|
21
|
Wright AC, Browne J, Skiest H, Bhiku K, Baker JT, Cather C. The relationship between conventional clinical assessments and momentary assessments of symptoms and functioning in schizophrenia spectrum disorders: A systematic review. Schizophr Res 2021; 232:11-27. [PMID: 34004382 DOI: 10.1016/j.schres.2021.04.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Revised: 04/09/2021] [Accepted: 04/25/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Symptoms and functioning are critical dimensions in those with schizophrenia and are typically measured using validated conventional clinical assessments. Researchers and clinicians have begun to use real-time digital methods, such as ecological momentary assessment (EMA), to assess symptoms and functioning in the moment and outside of traditional hospital and laboratory settings, which may yield more naturalistic data. Although digital methods have advantages, it is unclear whether these momentary assessments capture core aspects of symptoms and functioning. OBJECTIVE This systematic literature review aimed to evaluate the association between conventional clinical and momentary-based assessments of functioning and symptoms in individuals with schizophrenia. METHODS Studies were included if they met the following criteria: (1) written or translated into English; (2) peer-reviewed; (3) included primary quantitative data; (4) 60% of the clinical sample included persons with schizophrenia spectrum disorders; (5) included a clinical assessment of functioning and/or symptoms; (6) included active momentary assessment and/or passive data; and (7) assessed the relationship between the momentary and conventional clinical assessments. RESULTS A total of 49 studies (87 analyses) were included. Conventional clinical assessments of functioning and positive, negative, and depressive symptoms were related to momentary assessments of these symptom domains. Passive data was beneficial for assessing negative symptoms, but research is warranted for other domains. CONCLUSIONS The reviewed studies highlight the utility of EMA methodologies to collect detailed data on symptoms and functioning. Such data is being used to develop more sophisticated models of schizophrenia to enhance our understanding of important mechanisms and develop targeted interventions.
Collapse
Affiliation(s)
- Abigail C Wright
- Center of Excellence for Psychosocial and Systemic Research, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Julia Browne
- Center of Excellence for Psychosocial and Systemic Research, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Geriatric Research, Education and Clinical Center, Durham VA Health Care System, Durham, NC, USA
| | - Hannah Skiest
- Center of Excellence for Psychosocial and Systemic Research, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Kamila Bhiku
- Center of Excellence for Psychosocial and Systemic Research, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Justin T Baker
- Harvard Medical School, Boston, MA, USA; Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, USA
| | - Corinne Cather
- Center of Excellence for Psychosocial and Systemic Research, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| |
Collapse
|
22
|
Durand D, Strassnig MT, Moore RC, Depp CA, Ackerman RA, Pinkham AE, Harvey PD. Self-reported social functioning and social cognition in schizophrenia and bipolar disorder: Using ecological momentary assessment to identify the origin of bias. Schizophr Res 2021; 230:17-23. [PMID: 33667854 PMCID: PMC8222067 DOI: 10.1016/j.schres.2021.02.011] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 02/14/2021] [Accepted: 02/14/2021] [Indexed: 12/20/2022]
Abstract
OBJECTIVES People with schizophrenia (SCZ) and bipolar illness (BPI) generate self-reports of their functioning that diverge from objective information. It has been suggested that these participants do not base such reports on daily experiences, relying on other information. We used ecological momentary assessment (EMA) to sample socially relevant daily activities in SCZ and BPI and related them to self-reported and observer-rated social functioning and social cognitive ability. METHODS 71 people with (BPI) were compared to 102 people with SCZ. Participants were sampled 3 times per day for 30 days with a smartphone-based survey. Each survey asked where they were, with whom they were, what they were doing, and if they were sad. Participants and observers were asked to provide ratings on social functioning and social cognitive abilities at the end of the EMA period. RESULTS There was no association between being home or alone and self-reports of everyday social functioning. In contrast observer ratings were highly correlated with the momentary survey results. Reports of very low levels of sadness were associated with overestimated functioning and participants who were commonly home and alone rated their social functioning as better than participants who were commonly away in the presence of others. IMPLICATIONS Both SCZ and BPI were marked by a disconnect between momentary experiences and self-reports. The largest effect was overestimation of functioning by participants who reported no sadness. Experience appears important, as participants who were routinely home and alone reported better social functioning than participants who spent more time others.
Collapse
Affiliation(s)
- Dante Durand
- University of Miami Miller School of Medicine, Miami, FL, United States of America
| | - Martin T Strassnig
- University of Miami Miller School of Medicine, Miami, FL, United States of America
| | - Raeanne C Moore
- UCSD Health Sciences Center, La Jolla, CA, United States of America
| | - Colin A Depp
- UCSD Health Sciences Center, La Jolla, CA, United States of America; San Diego VA Medical Center La Jolla, CA, United States of America
| | - Robert A Ackerman
- University of Texas at Dallas, Richardson, TX, United States of America
| | - Amy E Pinkham
- University of Texas at Dallas, Richardson, TX, United States of America; University of Texas Southwestern Medical Center, Dallas, TX, United States of America
| | - Philip D Harvey
- University of Miami Miller School of Medicine, Miami, FL, United States of America; Bruce W. Carter VA Medical Center, Miami, FL, United States of America.
| |
Collapse
|