Exposure to urban green space may both promote and harm mental health in socially vulnerable neighborhoods: A neighborhood-scale analysis in New York City.

BACKGROUND: There is growing evidence that exposure to green space can impact mental health, but these effects may be context dependent. We hypothesized that associations between residential green space and mental health can be modified by social vulnerability. METHOD: We conducted an ecological cross-sectional analysis to evaluate the effects of green space exposure on mental disorder related emergency room (ER) visits in New York City at the level of census tract. To objectively represent green space exposure at the neighborhood scale, we calculated three green space exposure metrics, namely proximity to the nearest park, percentage of green space, and visibility of greenness. Using Bayesian hierarchical spatial Poisson regression models, we evaluated neighborhood social vulnerability as a potential modifier of greenness-mental disorder associations, while accounting for the spatially correlated structures. RESULTS: We found significant associations between green space exposure (involving both proximity and visibility) and total ER visits for mental disorders in neighborhoods with high social vulnerability, but no significant associations in neighborhoods with low social vulnerability. We also identified specific neighborhoods with particularly high ER utilization for mental disorders. CONCLUSIONS: Our findings suggest that exposure to green space is associated with ER visits for mental disorders, but that neighborhood social vulnerability can modify this association. Future research is needed to confirm our finding with longitudinal designs at the level of individuals.

Distinctions between autobiographical memory specificity and detail: Trajectories across cue presentations.

Autobiographical memory is central to identity and self-awareness, but individuals with depression and Post-Traumatic Stress Disorder tend to have overgeneral memories. Recent research has suggested that the ability to retrieve specific memories and individual differences in the amount of detail in specific memories are independent (Kyung, Yanes-Lukin, & Roberts, 2016). We re-analyzed data from Kyung et al. to test whether these constructs are distinct in terms of their trajectories over cue presentations. Results indicated a U-shaped trajectory for specificity, but a inverted-U trajectory for detail, suggesting a dissociation in which periods of decreasing probability of retrieving specific memories correspond to increasing amounts of detail. Further, trajectories had similar forms when memories included emotional content, but differed for recollections that did not include emotional content. Finally, at the individual level, slopes for specificity and detail across trials were uncorrelated. These findings provide further support for the independence of these constructs.

Self-Other Agreement and Metaperception Accuracy Across the Big Five: Examining the Roles of Depression and Self-Esteem.

OBJECTIVE: The ability to judge other people's personality characteristics and to know how we are viewed by others are important aspects of social cognition. The present study tested the impact of depressive symptoms and low self-esteem on self-other agreement and the accuracy of metaperception (i.e., how we believe others view us) across the Big Five dimensions of personality. METHOD: Participants who varied in depressive symptoms engaged in a 10-minute "getting to know you" interaction in dyads. Ratings on the Big Five personality dimensions, depression, and self-esteem were completed prior to the interaction. After the interaction, participants rated the personality of their partner and rated how they believed their partner would rate them (metaperception). RESULTS: Self-other agreement was only found on Extraversion, whereas there was significant meta-accuracy on Agreeableness, Conscientiousness, and Extraversion. Depressive symptoms and low self-esteem negatively biased metaperceptions of Agreeableness, Conscientiousness, and Neuroticism. CONCLUSIONS: Depression and low self-esteem function to negatively bias how we believe we are seen by others in new acquaintanceships and therefore may play an important role in the development of interpersonal relationships.

Specificity and detail in autobiographical memory: Same or different constructs?

Research on autobiographical memory has focused on whether memories are coded as specific (i.e., describe a single event that happened at a particular time and place). Although some theory and research suggests that the amount of detail in autobiographical memories reflects a similar underlying construct as memory specificity, past research has not investigated whether these variables converge. Therefore, the present study compared the proportion of specific memories and the amount of detail embedded in memory responses to cue words. Results demonstrated that memory detail and proportion of specific memories were not correlated with each other and showed different patterns of association with other conceptually relevant variables. When responses to neutral cue words were examined in multiple linear and logistic regression analyses, the proportion of specific memories uniquely predicted less depressive symptoms, low emotional avoidance, lower emotion reactivity, better executive control and lower rumination, whereas the amount of memory detail uniquely predicted the presence of depression diagnosis, as well as greater depressive symptoms, subjective stress, emotion reactivity and rumination. Findings suggest that the ability to retrieve specific memories and the tendency to retrieve detailed personal memories reflect different constructs that have different implications in the development of emotional distress.

Differential effects of air pollution exposure on mental health: Historical redlining in New York State.

Growing evidence suggests that ambient air pollution has adverse effects on mental health, yet our understanding of its unequal impact remains limited, especially in areas with historical redlining practices. This study investigates whether the impact of daily fluctuations in ambient air pollutant levels on emergency room (ER) visits for mental disorders (MDs) varies across neighborhoods affected by redlining. Furthermore, we explored how demographic characteristics and ambient temperature may modify the effects of air pollution. To assess the disproportional short-term effects of PM2.5, NO2, and O3 on ER visits across redlining neighborhoods, we used a symmetric bidirectional case-crossover design with a conditional logistic regression model. We analyzed data from 2 million ER visits for MDs between 2005 and 2016 across 17 cities in New York State, where redlining policies were historically implemented. A stratified analysis was performed to examine potential effect modification by individuals' demographic characteristics (sex, age, and race/ethnicity) and ambient temperature. We found that both PM2.5 and NO2 were significantly associated with MD-related ER visits primarily in redlined neighborhoods. Per 10µgm-3 increase in daily PM2.5 and per 10 ppb increase in NO2 concentration were associated with 1.04 % (95 % Confidence Interval (CI): 0.57 %, 1.50 %) and 0.44 % (95 % CI: 0.21 %, 0.67 %) increase in MD-related ER visits in redlined neighborhoods, respectively. We also found significantly greater susceptibility among younger persons (below 18 years old) and adults aged 35-64 among residents in grade C or D, but not in A or B. Furthermore, we found that positive and statistically significant associations between increases in air pollutants (PM2.5 and NO2) and MD-related ER visits exist during medium temperatures (4.90 °C to 21.11 °C), but not in low or high temperature. Exposures to both PM2.5 and NO2 were significantly associated with MD-related ER visits, but these adverse effects were disproportionately pronounced in redlined neighborhoods.

Delayed effects of air pollution on public bike-sharing system use in Seoul, South Korea: A time series analysis.

BACKGROUND: As a complementary means to urban public transit systems, public bike-sharing provides a green and active mode of sustainable mobility, while reducing carbon-dioxide emissions and promoting health. There has been increasing interest in factors affecting bike-sharing usage, but little is known about the effect of ambient air pollution. METHOD: To assess the short-term impact of daily exposure to multiple air pollutants (PM2.5, PM10, NO2, and O3) on the public bike-sharing system (PBS) usage in Seoul, South Korea (2018-2021), we applied a quasi-Poisson generalized linear model combined with a distributed lag nonlinear model (DLNM). The model was adjusted for day of the week, holiday, temperature, relative humidity, and long-term trend. We also conducted stratification analyses to examine the potential effect modification by age group, seasonality, and COVID-19. RESULTS: We found that there was a negative association between daily ambient air pollution and the PBS usage level at a single lag day 1 (i.e., air quality a day before the event) across all four pollutants. Our results suggest that days with high levels of air pollutants (at 95th percentile) are associated with a 0.91% (0.86% to 0.96%) for PM2.5, 0.89% (0.85% to 0.94%) for PM10, 0.87% (0.82% to 0.91%) for O3, and 0.92% (0.87% to 0.98%) for NO2, reduction in cycling behavior in the next day compared to days with low levels of pollutants (at 25th percentile). No evidence of effect modification was found by seasonality, age nor the COVID-19 pandemic for any of the four pollutants. CONCLUSIONS: Our findings suggest that high concentrations of ambient air pollution are associated with decreased rates of PBS usage on the subsequent day regardless of the type of air pollutant measured.

Reassessing rumination: Validity of the Day Reconstruction Method for Rumination (DRM-R) to assess episodes of rumination in daily life.

Rumination is a robust vulnerability to depression and potential treatment target. However, we know relatively little about rumination in daily life. This study tested the validity of a new approach for assessing daily episodes of rumination, the Day Reconstruction Method for Rumination (DRM-R). Participants (N = 127) who were either high or low in neuroticism completed baseline self-report measures (e.g., depression, trait rumination). Next, they completed the DRM-R by reconstructing the previous day into a series of "scenes," identifying discrete episodes of rumination, and responding to follow-up items about each episode. 78.6% of high neuroticism participants reported experiencing discrete periods of rumination, 80.0% reported constant ruminative thoughts in the back of their heads, and 68.6% reported ruminative thoughts of fluctuating intensity. Time spent ruminating was moderately correlated with trait measures of rumination and worry. Findings provide preliminary evidence that the DRM-R is a valid method for assessing discrete episodes of rumination in daily life. The DRM-R may reveal, ideographically, the relationship between specific thought content and features of ruminative episodes (e.g., length, frequency). Further research is needed to establish whether the DRM-R can detect changes in rumination across multiple days and how it corresponds with traditional daily diary methods and ecological momentary assessment. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Autobiographical memory and psychopathology: Is memory specificity as important as we make it seem?

Several decades of research have established reduced autobiographical memory specificity, or overgeneral memory, as an important cognitive factor associated with the risk for and maintenance of a range of psychiatric diagnoses. In measuring this construct, experimenters code autobiographical memories for the presence or absence of a single temporal detail that indicates that the remembered event took place on a single, specific, day (Last Thursday when I rode bikes with my son), or multiple days (When I rode bikes with my son). Studies indicate that the specificity of memories and the amount of other episodic detail that they include (e.g., who, what, and where) are related and may rely on the same neural processes to elicit their retrieval. However, specificity and detailedness are nonetheless separable constructs: imperfectly correlated and differentially associated with current and future depressive symptoms and other associated intrapersonal (e.g., rumination) and interpersonal (e.g., social support) outcomes. The ways in which the details of our memories align with narrative themes (i.e., agency, communion, identity) and the coherence with which these details are presented, are also emerging as important factors associated with psychopathology. The temporal specificity of autobiographical memories may be important, but other memory constructs warrant further attention in research and theory, especially given the associations, and dependencies, between each of these constructs. Researchers in this area must consider carefully whether their research questions necessitate a focus on autobiographical memory specificity or whether a more inclusive analysis of other autobiographical memory features is necessary and more fruitful. This article is categorized under: Psychology > Memory.

Autobiographical memory specificity and the persistence of depressive symptoms in HIV-positive patients: rumination and social problem-solving skills as mediators.

Individuals infected with human immunodeficiency virus (HIV) are at elevated risk for depressive conditions, which in turn can negatively impact health-related behaviours and the course of illness. The present study tested the role of autobiographical memory specificity and its interaction with perceived stress in the persistence of depressive symptoms among dysphoric HIV-positive individuals. Additionally, we examined whether rumination and social problem solving mediated these effects. Results indicated that memory specificity moderated the impact of perceived stress, such that perceived stress was more strongly associated with follow-up depressive symptoms among those with greater memory specificity. Rumination, but not social problem solving, mediated this effect. Implications of these findings are discussed.

Development of an mHealth App-Based Intervention for Depressive Rumination (RuminAid): Mixed Methods Focus Group Evaluation.

BACKGROUND: Depression is a common mental health condition that poses a significant public health burden. Effective treatments for depression exist; however, access to evidence-based care remains limited. Mobile health (mHealth) apps offer an avenue for improving access. However, few mHealth apps are informed by evidence-based treatments and even fewer are empirically evaluated before dissemination. To address this gap, we developed RuminAid, an mHealth app that uses evidence-based treatment components to reduce depression by targeting a single key depressogenic process-rumination. OBJECTIVE: The primary objective of this study was to collect qualitative and quantitative feedback that could be used to improve the design of RuminAid before the software development phase. METHODS: We reviewed empirically supported interventions for depression and rumination and used the key aspects of each to create a storyboard version of RuminAid. We distributed an audio-guided presentation of the RuminAid storyboard to 22 individuals for viewing and solicited user feedback on app content, design, and perceived functionality across 7 focus group sessions. RESULTS: The consumer-rated quality of the storyboard version of RuminAid was in the acceptable to good range. Indeed, most participants reported that they thought RuminAid would be an engaging, functional, and informational app. Likewise, they endorsed overwhelming positive beliefs about the perceived impact of RuminAid; specifically, 96% (21/22) believed that RuminAid will help depressed ruminators with depression and rumination. Nevertheless, the results highlighted the need for improved app aesthetics (eg, a more appealing color scheme and modern design). CONCLUSIONS: Focus group members reported that the quality of information was quite good and had the potential to help adults who struggle with depression and rumination but expressed concern that poor aesthetics would interfere with users' desire to continue using the app. To address these comments, we hired a graphic designer and redesigned each screen to improve visual appeal. We also removed time gating from the app based on participant feedback and findings from related research. These changes helped elevate RuminAid and informed its initial software build for a pilot trial that focused on evaluating its feasibility and acceptability.

Motivation and goal orientation in vulnerability to depression.

Depression may be related to motivational systems that govern approach and avoidance behaviour such as temperament and goal orientation. Using a remitted depression design we found that previously depressed and never-depressed individuals did not differ on number of approach goals generated, degree of goal commitment or extent of planning to reach goals. However, previously depressed individuals generated more avoidance goals indicating that the tendency to set avoidance goals may be a trait-like vulnerability to depression. Previously depressed individuals also reported higher activation of the behavioural approach system (BAS) raising the possibility that this system is energising approach behaviour in the service of avoiding aversive consequences.

Testing the cognitive catalyst model of depression: does rumination amplify the impact of cognitive diatheses in response to stress?

Recent studies have found that rumination functions as a catalyst of cognitive vulnerability to depression. Specifically, these studies have reported synergistic effects between rumination and negative cognitive content (beliefs and attitudes), such that rumination amplifies the association between negative cognitive content and depression (Ciesla & Roberts, 2002, 2007; Robinson & Alloy, 2003). The current study extended this work by testing whether cognitive vulnerability involving the combination of negative cognitive content and rumination increases the impact of stress on the course of depressive symptoms. One hundred ninety-one college students with elevated depressive symptoms participated in a two-wave longitudinal study. Results indicate that the maintenance of depressive symptoms was predicted by the three-way interaction of negative cognitive content, rumination, and stressful life events. More specifically, students who endorsed both maladaptive cognitive content and a tendency to ruminate were particularly vulnerable to the deleterious impact of life stress.

Computerized adaptive assessment of personality disorder: introducing the CAT-PD project.

Assessment of personality disorders (PD) has been hindered by reliance on the problematic categorical model embodied in the most recent Diagnostic and Statistical Model of Mental Disorders (DSM), lack of consensus among alternative dimensional models, and inefficient measurement methods. This article describes the rationale for and early results from a multiyear study funded by the National Institute of Mental Health that was designed to develop an integrative and comprehensive model and efficient measure of PD trait dimensions. To accomplish these goals, we are in the midst of a 5-phase project to develop and validate the model and measure. The results of Phase 1 of the project--which was focused on developing the PD traits to be assessed and the initial item pool--resulted in a candidate list of 59 PD traits and an initial item pool of 2,589 items. Data collection and structural analyses in community and patient samples will inform the ultimate structure of the measure, and computerized adaptive testing will permit efficient measurement of the resultant traits. The resultant Computerized Adaptive Test of Personality Disorder (CAT-PD) will be well positioned as a measure of the proposed DSM-5 PD traits. Implications for both applied and basic personality research are discussed.

Association between extreme temperatures and emergency room visits related to mental disorders: A multi-region time-series study in New York, USA.

BACKGROUND: There is growing evidence suggesting that extreme temperatures have an impact on mental disorders. We aimed to explore the effect of extreme temperatures on emergency room (ER) visits for mental health disorders using 2.8 million records from New York State, USA (2009-2016), and to examine potential effect modifications by individuals' age, sex, and race/ethnicity through a stratified analysis to determine if certain populations are more susceptible. METHOD: To assess the short-term impact of daily average temperature on ER visits related to mental disorders, we applied a quasi-Poisson generalized linear model combined with a distributed lag non-linear model (DLNM). The model was adjusted for day of the week, precipitation, as well as long-term and seasonal time trends. We also conducted a meta-analysis to pool the region-specific risk estimates and construct the overall cumulative exposure-response curves for all regions. RESULTS: We found positive associations between short-term exposure to extreme heat (27.07 ∘C) and increased ER visits for total mental disorders, as well as substance abuse, mood and anxiety disorders, schizophrenia, and dementia. We did not find any statistically significant difference among any subgroups of the population being more susceptible to extreme heat than any other. CONCLUSIONS: Our findings suggest that there is a positive association between short-term exposure to extreme heat and increased ER visits for total mental disorders. This extreme effect was also found across all sub-categories of mental disease, although further research is needed to confirm our finding for specific mental disorders, such as dementia, which accounted for less than 1% of the total mental disorders in this sample.

A longitudinal investigation of the impact of life stress on HIV treatment adherence.

Suboptimal antiretroviral adherence is associated with poorer HIV outcomes. Psychosocial factors, including life stress, depression and coping, may influence adherence behavior. This prospective investigation sought to examine the impact of life stress (acute life events, chronic stress, and perceived stress), depression, and coping style on adherence to HIV treatment regimes over time. Participants were 87 treatment-seeking HIV-infected individuals recruited from an urban HIV clinic. They completed clinician-administered interviews and self-report questionnaires at baseline and 3-month follow-up. Acute life events and chronic stress prospectively predicted decreases in treatment adherence more strongly among individuals in a major depressive episode (n = 21) compared to non-depressed individuals (n = 66). Coping style did not appear to be the mechanism by which life stress influenced adherence among depressed HIV-infected individuals. These findings demonstrate that life stress has toxic effects for depressed individuals and suggest that treatment adherence interventions with depressed individuals could be enhanced via development of stress management skills.

Quality of hybrid location data drawn from GPS-enabled mobile phones: Does it matter?

Despite their increasing popularity in human mobility studies, few studies have investigated the geo-spatial quality of GPS-enabled mobile phone data in which phone location is determined by special queries designed to collect location data with predetermined sampling intervals (hereafter "active mobile phone data"). We focus on two key issues in active mobile phone data-systematic gaps in tracking records and positioning uncertainty-and investigate their effects on human mobility pattern analyses. To address gaps in records, we develop an imputation strategy that utilizes local environment information, such as parcel boundaries, and recording time intervals. We evaluate the performance of the proposed imputation strategy by comparing raw versus imputed data with participants' online survey responses. The results indicate that imputed data are superior to raw data in identifying individuals' frequently visited places on a weekly basis. To assess the location accuracy of active mobile phone data, we investigate the spatial and temporal patterns of the positional uncertainty of each record and examine via Monte Carlo simulation how inaccurate location information might affect human mobility pattern indicators. Results suggest that the level of uncertainty varies as a function of time of day and the type of land use at which the position was determined, both of which are closely related to the location technology used to determine the location. Our study highlights the importance of understanding and addressing limitations of mobile phone derived positioning data prior to their use in human mobility studies.

Cleansing the Attentional Palate: A Preliminary Test of a Novel Approach to Facilitate Disengagement From Rumination.

Resource allocation theory suggests that rumination depletes cognitive resources that could be directed toward task-relevant processes. We propose a new approach to the treatment of rumination that specifically targets this misappropriation of cognitive resources, wherein individuals engage in an attentionally demanding task in order to interrupt the ruminative cycle. We argue that this strategy would serve to free cognitive resources from rumination and facilitate performance on other tasks. Thus, the present study served as an initial test of this novel approach. This study employed a within-subjects design, in which participants were 30 college students who completed self-report measures of baseline mood state, anxiety, depression, and trait rumination. Subsequently, they underwent sad mood and rumination inductions followed by random assignment to either a low attentional demand disengagement strategy (DS) followed by a high attentional demand DS or vice versa. Reading comprehension was assessed at baseline and following each of the two DSs. The high attentional demand DS condition was associated with better performance on the reading comprehension task compared to the low attentional demand DS condition. These results provide initial support for our novel approach to targeting rumination and demonstrate that attentionally demanding DSs may successfully free cognitive resources that might otherwise be consumed by rumination. Thus, future research into attentionally demanding DSs that interrupt ruminative cycles is warranted. This approach could be a useful adjunct for interventions targeting disorders driven by rumination, such as depression.

Does overgeneral autobiographical memory result from poor memory for task instructions?

Considerable previous research has shown that retrieval of overgeneral autobiographical memories (OGM) is elevated among individuals suffering from various emotional disorders and those with a history of trauma. Although previous theories suggest that OGM serves the function of regulating acute negative affect, it is also possible that OGM results from difficulties in keeping the instruction set for the Autobiographical Memory Test (AMT) in working memory, or what has been coined "secondary goal neglect" (Dalgleish, 2004). The present study tested whether OGM is associated with poor memory for the task's instruction set, and whether an instruction set reminder would improve memory specificity over repeated trials. Multilevel modelling data-analytic techniques demonstrated a significant relationship between poor recall of instruction set and probability of retrieving OGMs. Providing an instruction set reminder for the AMT relative to a control task's instruction set improved memory specificity immediately afterward.

Testing the cognitive catalyst model of rumination with explicit and implicit cognitive content.

BACKGROUND AND OBJECTIVES: The cognitive catalyst model posits that rumination and negative cognitive content, such as negative schema, interact to predict depressive affect. Past research has found support for this model using explicit measures of negative cognitive content such as self-report measures of trait self-esteem and dysfunctional attitudes. The present study tested whether these findings would extend to implicit measures of negative cognitive content such as implicit self-esteem, and whether effects would depend on initial mood state and history of depression. METHOD: Sixty-one undergraduate students selected on the basis of depression history (27 previously depressed; 34 never depressed) completed explicit and implicit measures of negative cognitive content prior to random assignment to a rumination induction followed by a distraction induction or vice versa. Dysphoric affect was measured both before and after these inductions. RESULTS: Analyses revealed that explicit measures, but not implicit measures, interacted with rumination to predict change in dysphoric affect, and these interactions were further moderated by baseline levels of dysphoria. LIMITATIONS: Limitations include the small nonclinical sample and use of a self-report measure of depression history. CONCLUSIONS: These findings suggest that rumination amplifies the association between explicit negative cognitive content and depressive affect primarily among people who are already experiencing sad mood.

Rumination, negative cognition, and their interactive effects on depressed mood.

Response styles theory posits that rumination represents a trait vulnerability to depression. Recent evidence has suggested that rumination predicts changes in depression more strongly among individuals with high levels of negative cognition. Three studies evaluated this model of interactive vulnerabilities. Study 1 provided empirical support for the distinction between rumination and negative cognitive content. The next 2 studies investigated the interactive model in the laboratory. Study 2 randomly assigned participants to either ruminate or distract following a sad mood induction. This study found that rumination was more strongly associated with dysphoria among individuals who report high levels of negative cognition. Similarly, Study 3 found that rumination and negative cognition interact to predict changes in dysphoria across a no-task delay period following a sad mood induction. These studies provide support for an interactive model in which rumination amplifies the deleterious effects of negative cognition.