Spruha Joshi

Association of proximity and density of parks and objectively measured physical activity in the United States: A systematic review.

One strategy for increasing physical activity is to create and enhance access to park space. We assessed the literature on the relationship of parks and objectively measured physical activity in population-based studies in the United States (US) and identified limitations in current built environment and physical activity measurement and reporting. Five English-language scholarly databases were queried using standardized search terms. Abstracts were screened for the following inclusion criteria: 1) published between January 1990 and June 2013; 2) US-based with a sample size greater than 100 individuals; 3) included built environment measures related to parks or trails; and 4) included objectively measured physical activity as an outcome. Following initial screening for inclusion by two independent raters, articles were abstracted into a database. Of 10,949 abstracts screened, 20 articles met the inclusion criteria. Five articles reported a significant positive association between parks and physical activity. Nine studies found no association, and six studies had mixed findings. Our review found that even among studies with objectively measured physical activity, the association between access to parks and physical activity varied between studies, possibly due to heterogeneity of exposure measurement. Self-reported (vs. independently-measured) neighborhood park environment characteristics and smaller (vs. larger) buffer sizes were more predictive of physical activity. We recommend strategies for further research, employing standardized reporting and innovative study designs to better understand the relationship of parks and physical activity.

Mental Health and General Wellness in the Aftermath of Hurricane Ike

Exposure to natural disasters has been linked to a range of adverse outcomes, including mental health problems (e.g., posttraumatic stress symptoms [PTSS], depression), declines in role functioning (e.g., occupational difficulties), and physical health problems (e.g., somatic complaints). However, prior research and theory suggest that the modal postdisaster response in each of these domains is resilience, defined as low levels of symptoms or problems in a given outcome over time, with minimal elevations that are limited to the time period during the disaster and its immediate aftermath. However, the extent to which disaster survivors exhibit mental health wellness (resilience across multiple mental health conditions) or general wellness (resilience across mental health, physical health, and role functioning domains) remains unexplored. The purpose of this study was to quantify mental health and general wellness, and to examine predictors of each form of wellness, in a three-wave population-based study of Hurricane Ike survivors (N = 658). Latent class growth analysis was used to determine the frequency of resilience on four outcomes (PTSS: 74.9%; depression: 57.9%; functional impairment: 45.1%; days of poor health: 52.6%), and cross-tabulations were used to determine the frequency of mental health wellness (51.2%) and general wellness (26.1%). Significant predictors of both mental health and general wellness included lower peri-event emotional reactions and higher community-level collective efficacy; loss of sentimental possessions or pets and disaster-related financial loss were negative predictors of mental health wellness, and loss of personal property was a negative predictor of general wellness. The results suggest that studies focusing on a single postdisaster outcome may have overestimated the prevalence of mental health and general wellness, and that peri-event responses, personal property loss and collective efficacy have a cross-cutting influence across multiple domains of postdisaster functioning.

Beyond METs: types of physical activity and depression among older adults.

BACKGROUND/OBJECTIVES physical activity may be beneficial in reducing depression incidence among the elderly. A key unanswered question is whether certain types of physical activity are particularly associated with decreased depression incidence. We examined the relationship between quantity and type of physical activity and subsequent depression using longitudinal data from elderly adults in New York City (NYC). METHODS we followed 3,497 adults aged 65-75 living in NYC for three years. Total physical activity was measured using the Physical Activity Scale for the Elderly (PASE) and type of physical activity was measured using a latent class analysis of PASE item responses. We used generalised estimating equations to measure the relationship between quantity and latent class of physical activity at waves 1-2 and depression at waves 2-3, controlling for wave-1 depression. RESULTS individuals in the second highest quartile (50-75%) (odds ratio (OR) = 0.45; 95% confidence interval (CI) = 0.23, 0.88) and highest quartile of activity (OR = 0.31; 95% CI = 0.16, 0.63) had lower odds of depression. Among all subjects, athletic types (OR = 0.25; 95% CI = 0.12, 0.51) and walker types (OR = 0.58; 95% CI = 0.34, 0.99) had lower odds of depression. Among non-disabled participants, walkers (OR = 0.36; 95% CI = 0.18, 0.73), athletic types (OR = 0.14; 95% CI = 0.06, 0.32), domestic/gardening types (OR = 0.29; 95% CI = 0.12, 0.73) and domestic/gardening athletic types (OR = 0.13; 95% CI = 0.02, 0.75) had lower odds of depression. CONCLUSION respondents who practised the highest levels of physical activity and who performed athletic activities were at lower risk for depression. Interventions aimed at promoting athletic physical activity among older adults may generate benefits for mental health.

The Geography of Mental Health and General Wellness in Galveston Bay After Hurricane Ike: A Spatial Epidemiologic Study With Longitudinal Data.

OBJECTIVES To demonstrate a spatial epidemiologic approach that could be used in the aftermath of disasters to (1) detect spatial clusters and (2) explore geographic heterogeneity in predictors for mental health and general wellness. METHODS We used a cohort study of Hurricane Ike survivors (n=508) to assess the spatial distribution of postdisaster mental health wellness (most likely resilience trajectory for posttraumatic stress symptoms [PTSS] and depression) and general wellness (most likely resilience trajectory for PTSS, depression, functional impairment, and days of poor health) in Galveston, Texas. We applied the spatial scan statistic (SaTScan) and geographically weighted regression. RESULTS We found spatial clusters of high likelihood wellness in areas north of Texas City and spatial concentrations of low likelihood wellness in Galveston Island. Geographic variation was found in predictors of wellness, showing increasing associations with both forms of wellness the closer respondents were located to Galveston City in Galveston Island. CONCLUSIONS Predictors for postdisaster wellness may manifest differently across geographic space with concentrations of lower likelihood wellness and increased associations with predictors in areas of higher exposure. Our approach could be used to inform geographically targeted interventions to promote mental health and general wellness in disaster-affected communities.

Pathways from neighborhood poverty to depression among older adults

ABSTRACT The pathways through which neighborhood poverty can affect resident depression are still unknown. We investigated mechanisms through which neighborhood poverty may influence depression among older adults. Participants were drawn from the New York City Neighborhood and Mental Health in the Elderly Study II, a 3‐wave study of adults aged 65–75 (n=3,497) at baseline. Neighborhood poverty and homicide were associated with depressive symptoms at follow‐up waves (RR:1.20, 95%CI: 1.05, 1.36; RR: 1.09, 95%CI: 1.02, 1.17, respectively). Homicide accounted for 30% of the effect of neighborhood poverty on depressive symptoms. Neighborhood exposure to violence may be a key mechanism through which neighborhood poverty influences depression among older adults. HighlightsOlder adults living in high‐poverty urban neighborhoods are at greater risk for depression.Older adults who lived in neighborhoods with a higher homicide rate experienced greater depressive symptom severity.Neighborhood exposure to violence may be a key path through which neighborhood poverty impacts depression among older adults.

Mapping concentrations of posttraumatic stress and depression trajectories following Hurricane Ike

We investigated geographic concentration in elevated risk for a range of postdisaster trajectories of chronic posttraumatic stress symptom (PTSS) and depression symptoms in a longitudinal study (N = 561) of a Hurricane Ike affected population in Galveston and Chambers counties, TX. Using an unadjusted spatial scan statistic, we detected clusters of elevated risk of PTSS trajectories, but not depression trajectories, on Galveston Island. We then tested for predictors of membership in each trajectory of PTSS and depression (e.g., demographic variables, trauma exposure, social support), not taking the geographic nature of the data into account. After adjusting for significant predictors in the spatial scan statistic, we noted that spatial clusters of PTSS persisted and additional clusters of depression trajectories emerged. This is the first study to show that longitudinal trajectories of postdisaster mental health problems may vary depending on the geographic location and the individual- and community-level factors present at these locations. Such knowledge is crucial to identifying vulnerable regions and populations within them, to provide guidance for early responders, and to mitigate mental health consequences through early detection of mental health needs in the population. As human-made disasters increase, our approach may be useful also in other regions in comparable settings worldwide.

Contextual correlates of physical activity among older adults: Aneighborhood environment-wide association study (ne-was)

Background: Few older adults achieve recommended physical activity levels. We conducted a “neighborhood environment-wide association study (NE-WAS)” of neighborhood influences on physical activity among older adults, analogous, in a genetic context, to a genome-wide association study. Methods: Physical Activity Scale for the Elderly (PASE) and sociodemographic data were collected via telephone survey of 3,497 residents of New York City aged 65 to 75 years. Using Geographic Information Systems, we created 337 variables describing each participants residential neighborhoods built, social, and economic context. We used survey-weighted regression models adjusting for individual-level covariates to test for associations between each neighborhood variable and (i) total PASE score, (ii) gardening activity, (iii) walking, and (iv) housework (as a negative control). We also applied two “Big Data” analytic techniques, LASSO regression, and Random Forests, to algorithmically select neighborhood variables predictive of these four physical activity measures. Results: Of all 337 measures, proportion of residents living in extreme poverty was most strongly associated with total physical activity [−0.85; (95% confidence interval, −1.14 to −0.56) PASE units per 1% increase in proportion of residents living with household incomes less than half the federal poverty line]. Only neighborhood socioeconomic status and disorder measures were associated with total activity and gardening, whereas a broader range of measures was associated with walking. As expected, no neighborhood meaZsures were associated with housework after accounting for multiple comparisons. Conclusions: This systematic approach revealed patterns in the domains of neighborhood measures associated with physical activity. Impact: The NE-WAS approach appears to be a promising exploratory technique. Cancer Epidemiol Biomarkers Prev; 26(4); 495–504. ©2017 AACR. See all the articles in this CEBP Focus section, “Geospatial Approaches to Cancer Control and Population Sciences.”

Longitudinal Patterns of Physical Activity Among Older Adults: A Latent Transition Analysis

Most epidemiologic studies of physical activity measure either total energy expenditure or engagement in a single type of activity, such as walking. These approaches may gloss over important nuances in activity patterns. We performed a latent transition analysis to identify patterns of activity, as well as neighborhood and individual determinants of changes in those activity patterns, over 2 years in a cohort of 2,023 older adult residents of New York, New York, surveyed between 2011 and 2013. We identified 7 latent classes: 1) mostly inactive, 2) walking, 3) exercise, 4) household activities and walking, 5) household activities and exercise, 6) gardening and household activities, and 7) gardening, household activities, and exercise. The majority of subjects retained the same activity patterns between waves (54% unchanged between waves 1 and 2, 66% unchanged between waves 2 and 3). Most latent class transitions were between classes distinguished only by 1 form of activity, and only neighborhood unemployment was consistently associated with changing between activity latent classes. Future latent transition analyses of physical activity would benefit from larger cohorts and longer follow-up periods to assess predictors of and long-term impacts of changes in activity patterns.