11 research outputs found
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O1.6. AFFECTIVE DETERMINANTS OF LIFE-SPACE THROUGH GPS AND ECOLOGICAL MOMENTARY ASSESSMENT IN SCHIZOPHRENIA: WHAT GETS PEOPLE OUT OF THE HOUSE?
Abstract Background Previous research employing global positioning satellite (GPS) data and ecological momentary assessment (EMA) has shown that greater aggregated time at home and less distance traveled (diminished life-space) were associated with poorer community functioning and with more severe negative symptoms in people with schizophrenia. Emotional experiences (e.g., pleasure or anxious avoidance) may reduce time spent outside of the home. We evaluated the associations between concurrent and time-lagged positive and negative affective experiences in relation to time at home and distance travelled in the community (life-space) among people with schizophrenia compared to healthy comparators (HCs). Methods Sixty HCs (mean age = 51.2, SD = 10.9) and 91 people with schizophrenia (mean age=52, SD=9), matched on demographic characteristics, completed in-lab assessments of symptoms, cognition, and functioning. They were then given a smartphone and completed EMA assessments 7 times daily for 7 days at stratified random intervals. EMA surveys included questions about daily life activities and affect. GPS coordinates were collected every 5 minutes, 24 hours a day, over the 7-day study period. Results Participants with schizophrenia spent more time at home than HCs (t = -4.95, p < 0.001). Sadness and ratings of relaxation were not associated with distance traveled away or time spent at home. For HCs, happiness was associated with more distance traveled away as measured by GPS (B=6.85, SE= 3.04, Wald Chi-Square = 5.067, p=0.024). However, for people with schizophrenia, only greater nervousness ratings were associated with more distance from home (B=3.41, SE=1.30, Wald Chi-Square=6.88, p=0.009). Moreover, for people with schizophrenia, greater nervousness ratings were associated with more time spent at home (B=2.07, SE= 0.98, Wald Chi-Square=4.43, p=0.035), and greater nervousness also predicted that a person with schizophrenia would be at home at the next survey in lead analyses, (F(1, 3029)=7.533, p=0.006). Taken together, these results suggest both greater nervousness associated with greater distance away from home and anxious avoidance of leaving the home. Discussion For individuals with schizophrenia, greater overall anxiety was associated with reduced time spent out of the home, and when patients did leave the home, greater distance travelled was associated with greater nervousness. In contrast, HC participants experienced greater positive emotion with larger life-space. These data suggest a significant momentary temporal association of anxiety and behavior in schizophrenia, such that greater nervousness predicted an individual would be more likely to stay at home. These findings suggest avoidance of negative emotion may also contribute to diminished motivated behavior, which may even act as an emotion regulation strategy. Life-space, which can be measured readily over time by mobile devices, may be a novel target for rehabilitative interventions for anxious avoidance in schizophrenia
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What Do People With Schizophrenia Do All Day? Ecological Momentary Assessment of Real-World Functioning in Schizophrenia
Schizophrenia is a major cause of disability worldwide. As new treatments for functioning are tested, the need grows to demonstrate real-world functioning gains. Ecological momentary assessment (EMA) may provide a more ecologically valid measure of functioning. In this study, smartphone-based EMA was used to signal participants with schizophrenia (N = 100) and controls (N = 71) 7 times a day for 7 days to respond to brief questionnaires about social interactions and functioning behaviors. Excellent adherence was found, with both groups completing an average of 85% of surveys and only 3% of participants with schizophrenia excluded for poor adherence. Four-week test-retest reliability was high (r = .83 for total productive behaviors). Relative to controls, participants with schizophrenia reported significantly less total productive activity (d = 1.2), fewer social interactions (d = 0.3), more nonproductive behaviors (d = 1.0; watching TV, resting), and more time at home (d = 0.8). Within the schizophrenia group, participants living independently showed better functioning on EMA relative to participants in supported housing (d = 0.8) and participants engaged in vocational activities showed better functioning than individuals not engaged in vocational activities (d = 0.55). Modest correlations were found between EMA and an in-lab self-report measure of functioning activities performed in the community, but not between EMA and measures of functional capacity or potential. This study demonstrated the feasibility, sensitivity reliability, and validity of EMA methods to assess functioning in schizophrenia. EMA provides a much-needed measure of what individuals with schizophrenia are actually doing in real-world contexts. These results also suggest that there may be important disjunctions between indices of abilities and actual real-world functioning
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Emotional determinants of life-space through GPS and ecological momentary assessment in schizophrenia: What gets people out of the house?
Previous research employing global positioning satellite (GPS) data and ecological momentary assessment (EMA) has shown a smaller life-space (distance traveled from home) was associated with poorer community functioning and more severe negative symptoms in people with schizophrenia. Momentary emotional experiences may influence how much time is spent outside of the home. We evaluated the associations between emotional experiences in relation to life-space among people with schizophrenia compared to healthy controls (HCs).
105 participants with schizophrenia and 76 HCs completed in-lab assessments of symptoms, cognition, and functioning. Participants completed EMA assessments of location and emotions seven times daily for seven days at stratified random intervals. GPS coordinates were collected 24Â h a day over the 7-day study period. Analyses were performed at the momentary, day, and full week level using mixed effects models and Spearman correlations.
For HCs, greater happiness was associated with greater concurrent distance traveled away from home as measured by GPS. For participants with schizophrenia, greater anxiety was associated with greater distance traveled away from home and being outside of the home. Less happiness, but not anxiety, was also associated with greater negative symptoms, especially outside the home.
These findings suggest diminished positive emotion is associated with the experience of leaving the home in schizophrenia, but also suggest that anxiety may contribute to avoidance of out of home mobility. Interventions targeting both positive emotions and social anxiety may improve social functioning, and life-space may provide a useful outcome for functional rehabilitation interventions in schizophrenia
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GPS mobility as a digital biomarker of negative symptoms in schizophrenia: a case control study
Mobility is an important correlate of physical, cognitive, and mental health in chronic illness, and can be measured passively with mobile phone global positional satellite (GPS) sensors. To date, GPS data have been reported in a few studies of schizophrenia, yet it is unclear whether these data correlate with concurrent momentary reports of location, vary by people with schizophrenia and healthy comparison subjects, or associate with symptom clusters in schizophrenia. A total of 142 participants with schizophrenia (
n
 = 86) or healthy comparison subjects (
n
 = 56) completed 7 days of ecological momentary assessment (EMA) reports of location and behavior, and simultaneous GPS locations were tracked every five minutes. We found that GPS-derived indicators of average distance travelled overall and distance from home, as well as percent of GPS samples at home were highly correlated with EMA reports of location at the day- and week-averaged level. GPS-based mobility indicators were lower in schizophrenia with medium to large effect sizes. Less GPS mobility was related to greater negative symptom severity, particularly diminished motivation, whereas greater GPS mobility was weakly associated with more community functioning. Neurocognition, depression, and positive symptoms were not associated with mobility indicators. Therefore, passive GPS sensing could provide a low-burden proxy measure of important outcomes in schizophrenia, including negative symptoms and possibly of functioning. As such, passive GPS sensing could be used for monitoring and timely interventions for negative symptoms in young persons at high risk for schizophrenia
Real-time mobile monitoring of the dynamic associations among motor activity, energy, mood, and sleep in adults with Bipolar Disorder
Importance: Biologic systems involved in the regulation of motor activity are intricately linked with other homeostatic systems such as sleep, feeding behavior, energy, and mood. Mobile monitoring technology (eg, actigraphy and ecological momentary assessment devices) allows the assessment of these multiple systems in real time. However, most clinical studies of mental disorders that use mobile devices have not focused on the dynamic associations between these systems. Objectives: To examine the directional associations among motor activity, energy, mood, and sleep using mobile monitoring in a community-identified sample, and to evaluate whether these within-day associations differ between people with a history of bipolar or other mood disorders and controls without mood disorders. Design, Setting, and Participants: This study used a nested case-control design of 242 adults, a subsample of a community-based sample of adults. Probands were recruited by mail from the greater Washington, DC, metropolitan area from January 2005 to June 2013. Enrichment of the sample for mood disorders was provided by volunteers or referrals from the National Institutes of Health Clinical Center or by participants in the National Institute of Mental Health Mood and Anxiety Disorders Program. The inclusion criteria were the ability to speak English, availability to participate, and consent to contact at least 2 living first-degree relatives. Data analysis was performed from June 2013 through July 2018. Main Outcomes and Measures: Motor activity and sleep duration data were obtained from minute-to-minute activity counts from an actigraphy device worn on the nondominant wrist for 2 weeks. Mood and energy levels were assessed by subjective analogue ratings on the ecological momentary assessment (using a personal digital assistant) by participants 4 times per day for 2 weeks. Results: Of the total 242 participants, 92 (38.1%) were men and 150 (61.9%) were women, with a mean (SD) age of 48 (16.9) years. Among the participants, 54 (22.3%) had bipolar disorder (25 with bipolar I; 29 with bipolar II), 91 (37.6%) had major depressive disorder, and 97 (40.1%) were controls with no history of mood disorders. A unidirectional association was found between motor activity and subjective mood level (β = -0.018, P =.04). Bidirectional associations were observed between motor activity (β = 0.176; P =.03) and subjective energy level (β = 0.027; P =.03) as well as between motor activity (β = -0.027; P =.04) and sleep duration (β = -0.154; P =.04). Greater cross-domain reactivity was observed in bipolar disorder across all outcomes, including motor activity, sleep, mood, and energy. Conclusions and Relevance: These findings suggest that interventions focused on motor activity and energy may have greater efficacy than current approaches that target depressed mood; both active and passive tracking of multiple regulatory systems are important in designing therapeutic targets
Comorbidity of substance use disorders with mood and anxiety disorders: Results of the international consortium in psychiatric epidemiology
This article reports the results of a cross-national investigation of patterns of comorbidity between substance use and psychiatric disorders in six studies participating in the International Consortium in Psychiatric Epidemiology. In general, there was a strong association between mood and anxiety disorders as well as conduct and antisocial personality disorder with substance disorders at all sites. The results also suggest that there is a continuum in the magnitude of comorbidity as a function of the spectrum of substance use category (use, problems, dependence), as well as a direct relationship between the number of comorbid disorders and increasing levels of severity of substance use disorders (which was particularly pronounced for drugs). Finally, whereas there was no specific temporal pattern of onset for mood disorders in relation to substance disorders, the onset of anxiety disorders was more likely to precede that of substance disorders in all countries. These results illustrate the contribution of cross-national data to understanding the patterns and risk factors for psychopathology and substance use disorders
Predictors of medication adherence in a large 1-year prospective cohort of individuals with schizophrenia: insights from the multicentric FACE-SZ dataset
International audienceSchizophrenia is characterized by the most salient medication adherence problems among severe mental disorders, but limited prospective data are available to predict and improve adherence in this population. This investigation aims to identify predictors of medication adherence over a 1-year period in a large national cohort using clustering analysis. Outpatients were recruited from ten Schizophrenia Expert Centers and were evaluated with a day-long standardized battery including clinician and patient-rated medication adherence measures. A two-step cluster analysis and multivariate logistic regression were conducted to identify medication adherence profiles based on the Medication Adherence rating Scale (MARS) and baseline predictors. A total of 485 participants were included in the study and medication adherence was significantly improved at the 1-year follow-up. Higher depressive scores, lower insight, history of suicide attempt, younger age and alcohol use disorder were all associated with poorer adherence at 1 year. Among the 203 patients with initially poor adherence, 86 (42%) switched to good adherence at the 1-year follow-up, whereas 117 patients (58%) remained poorly adherent. Targeting younger patients with low insight, history of suicide, alcohol use disorder and depressive disorders should be prioritized through literacy and educational therapy programs. Adherence is a construct that can vary considerably from year to year in schizophrenia, and therefore may be amenable to interventions for its improvement. However, caution is also warranted as nearly one in five patients with initially good adherence experienced worsened adherence 1 year later