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.
•We reviewed research on parks and objectively measured physical activity.•Measurement and reporting of park density and proximity is not standardized.•The association of parks and physical activity was inconsistent across studies.•Standardized measurement and reporting are needed for future meta-analyses.
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.
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.
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 participant's residential neighborhood's 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.
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.
This systematic approach revealed patterns in the domains of neighborhood measures associated with physical activity.
The NE-WAS approach appears to be a promising exploratory technique.
Introduction Little research to date has explored typologies of physical activity among older adults. An understanding of physical activity patterns may help to both determine the health benefits of ...different types of activity and target interventions to increase activity levels in older adults. This analysis, conducted in 2014, used a latent class analysis approach to characterize patterns of physical activity in a cohort of older adults. Methods A total of 3,497 men and women aged 65–75 years living in New York City completed the Physical Activity Scale for the Elderly (PASE) in 2011. PASE scale items were used to classify subjects into latent classes. Multinomial regression was then used to relate individual and neighborhood characteristics to class membership. Results Five latent classes were identified: “least active,” “walkers,” “domestic/gardening,” “athletic,” and “domestic/gardening athletic.” Individual-level predictors, including more education, higher income, and better self-reported health, were associated with membership in the more-active classes, particularly the athletic classes. Residential characteristics, including living in single-family housing and living in the lower-density boroughs of New York City, were predictive of membership in one of the domestic/gardening classes. Class membership was associated with BMI even after controlling for total PASE score. Conclusions This study suggests that individual and neighborhood characteristics are associated with distinct physical activity patterns in a group of older urban adults. These patterns are associated with body habitus independent of overall activity.
Abstract
Extensive empirical health research leverages variation in the timing and location of policy changes as quasi-experiments. Multiple social policies may be adopted simultaneously in the same ...locations, creating co-occurrence that must be addressed analytically for valid inferences. The pervasiveness and consequences of co-occurring policies have received limited attention. We analyzed a systematic sample of 13 social policy databases covering diverse domains including poverty, paid family leave, and tobacco use. We quantified policy co-occurrence in each database as the fraction of variation in each policy measure across different jurisdictions and times that could be explained by covariation with other policies. We used simulations to estimate the ratio of the variance of effect estimates under the observed policy co-occurrence to variance if policies were independent. Policy co-occurrence ranged from very high for state-level cannabis policies to low for country-level sexual minority-rights policies. For 65% of policies, greater than 90% of the place-time variation was explained by other policies. Policy co-occurrence increased the variance of effect estimates by a median of 57-fold. Co-occurring policies are common and pose a major methodological challenge to rigorously evaluating health effects of individual social policies. When uncontrolled, co-occurring policies confound one another, and when controlled, resulting positivity violations may substantially inflate the variance of estimated effects. Tools to enhance validity and precision for evaluating co-occurring policies are needed.
In the U.S., “War on Drugs” policies have led to large and unequal increases in arrests among particularly of Black/African American men. The change in the legal status of cannabis may reduce the ...racial disparity in arrests. We examined the impact of changing legal status on arrest disparities.
We obtained publicly available deidentified cannabis arrest data from the District of Columbia (D.C.) Metropolitan Police Department (2012–2019) and Los Angeles (L.A.) Police Department (2010–2019). We examined the differences in average monthly cannabis arrest rates for each city and each outcome (possession, possession with intent to distribute, distribution, and public consumption) across racial groups.
For both D.C. and L.A. following changes in the legal status of cannabis, we saw a decrease of the absolute disparity in possession-related arrests. There was also a reduction in D.C. for the relative disparity, but there was an increase in the relative disparity in L.A. In both cities, there was an emergence of public consumption-arrests. In D.C., there was an absolute increase of 4.0 (SD=2.5) more arrests per-month for Black people than white people and a relative increase of 9.1 (SD=1.5). In L.A., absolute disparity of 0.6(SD=1.3) and a relative disparity of 6.7 (SD=2.0).
There was a reduction in the absolute arrest disparity for cannabis-related possession arrests following decriminalization and legalization in both D.C and L.A. However, we saw the emergence of arrests for public consumption. This emergence of possession arrests towards public consumptions arrests, underscores the need to examine arrests beyond possession.
•Legalization leads to a decrease of some cannabis possession arrest disparities.•Absolute arrest disparities decrease but the relative disparities remain.•An emergence of arrests for public consumption of cannabis following legalization.
Two states modified laws to remove or substantially reduce criminal penalties for any drug possession. The hypothesis was that removing criminal penalties for drug possession may reduce fatal drug ...overdoses due to reduced incarceration and increased calls for help at the scene of an overdose.
To evaluate whether decriminalization of drug possession in Oregon and Washington was associated with changes in either direction in fatal drug overdose rates.
This cohort study used a synthetic control method approach to examine whether there were changes in drug possession laws and fatal drug overdose rates in Oregon and Washington in the postpolicy period (February 1, 2021, to March 31, 2022, in Oregon and March 1, 2021, to March 31, 2022, in Washington). A counterfactual comparison group (synthetic controls) was created for Oregon and Washington, using 48 states and the District of Columbia, that did not implement similar policies during the study period (January 1, 2018, to March 31, 2022). For 2018-2021, final multiple cause-of-death data from the National Vital Statistics System (NVSS) were used. For 2022, provisional NVSS data were used. Drug overdose deaths were identified using International Statistical Classification of Diseases and Related Health Problems, 10th Revision underlying cause-of-death codes X40-X44, X60-X64, X85, and Y10-Y14.
In Oregon, Measure 110 went into effect on February 1, 2021. In Washington, the Washington Supreme Court decision in State v Blake occurred on February 25, 2021.
Monthly fatal drug overdose rates.
Following the implementation of Measure 110, absolute monthly rate differences between Oregon and its synthetic control were not statistically significant (probability = 0.26). The average rate difference post Measure 110 was 0.268 fatal drug overdoses per 100 000 state population. Following the implementation of the policy change in Washington, the absolute monthly rate differences between Washington and synthetic Washington were not statistically significant (probability = 0.06). The average rate difference post Blake was 0.112 fatal drug overdoses per 100 000 state population.
This study found no evidence of an association between legal changes that removed or substantially reduced criminal penalties for drug possession in Oregon and Washington and fatal drug overdose rates. Additional research could examine potential other outcomes as well as longer-term associations with fatal drug overdose overall and across racial and ethnic groups.
•Latent class analysis with distal outcomes with data from ages 18–40.•Patterns of substance use from ages 18 to 30 were associated with physical and mental health at age 40.•Extreme heavy users and ...cigarette smokers had significantly poorer overall health.•Developmentally-limited use in young adult was also associated with later problems.
This study examines whether longitudinal patterns of persistent or experimental heavy substance use across young adulthood were associated with physical and mental health in midlife.
Data (N = 21,347) from Monitoring the Future from adolescence (age 18) to midlife (age 40) were used. Repeated measures latent class analysis modeled patterns of patterns of cigarettes, alcohol, marijuana, and other illicit drugs across young adulthood (ages 18–30). Latent classes were then used as predictors of physical health problems, cognitive problems, self-rated health, and psychological problems in midlife (age 40), while controlling for sociodemographic variables (i.e., gender, race/ethnicity, parental education).
Identified classes were “Extreme Heavy Users” (3.9%), “Early Young Adult Users” (8.9%), “Cigarette Smokers” (9.2%), “All But Cigarette Smokers” (5.0%), “Frequent Alcohol Bingers” (10.4%), and “Not-Heavy Users” (62.6%). Extreme Heavy Users, Early Young Adult Users, and Cigarette Smokers had significantly poorer overall health based on a number of physical conditions and self-rated health. Extreme Heavy Users, Early Young Adult Users, Cigarette Smokers, and All But Cigarette Smokers had more cognitive problems than other classes. Extreme Heavy Users, Early Young Adult Users, Cigarette Smokers, and All But Cigarette Smokers were more likely to see a health professional for a psychological problem.
Patterns of heavy substance use were associated with health across decades. Regular cigarette smokers and heavy users across substances and ages had the worst health in midlife, although even those with time-limited use during young adulthood were at risk for later physical and cognitive health problems.
Despite evidence that the U.S. “War on Drugs” is associated with increases in drug-related harm and other negative outcomes, all U.S. states have long criminalized most drug possession. In early ...2021, both Oregon and Washington became exceptions to this rule when they fully (Oregon) or partially (Washington) decriminalized possession of small amounts of all drugs.
We obtained arrest data for 2019 to 2021 for intervention states (Oregon and Washington) and control states (Colorado, Idaho, Montana, and Nevada). We calculated monthly rates for arrests overall and for violent crimes, drug possession, equipment possession, non-drug crimes, and a set of low-level crimes termed displaced arrests. Using an interrupted time series analysis, we examined changes in monthly arrest rates after the implementation of policy change in Oregon and Washington compared to control states.
In Oregon, there were 3 fewer drug possession arrests per 100,000 in the month after the policy change; the rate decreased throughout the post-implementation period. In Washington, there were almost 5 fewer drug possession arrests per 100,000 in the month following policy change, and the rate remained stable thereafter. Both declines were significantly greater than in comparison states. There were also statistically significant reductions in arrests for possession of drug equipment in Washington and a significant increase in displaced arrests in Oregon. There were no significant changes in overall arrests, non-drug arrests or arrests for violent crime in either state, relative to controls.
This analysis demonstrates that it is possible for state drug decriminalization policies to dramatically reduce arrests for drug possession without increasing arrests for violent crimes, potentially reducing harm to people who use drugs and their communities. Additional research is needed to determine whether these legal reforms were associated with changes in overdose rates and other drug-related harms.
Background
We evaluated the effectiveness of Alcohol Impact Areas (AIA) in reducing crime around off‐premise alcohol outlets in 3 AIAs in Spokane and Tacoma, Washington, using an interrupted time ...series design with comparison groups. AIAs only exist in Washington and include designated areas in a city where specific brands of malt liquor are restricted. We hypothesized that mandatory restrictions on malt liquor sales in AIAs would be significantly associated with decreases in crime, especially less‐serious crime.
Methods
In Spokane and Tacoma, targets were 3 AIAs and 3 comparison areas with demographically similar neighborhoods without malt liquor restrictions in the same respective city. Nine different crime outcomes were evaluated: Part I selected crimes, Part II selected crimes (further split into nuisance crimes and other Part II crimes), assaults, vandalism, narcotics, disorderly conduct, and all selected crimes combined. Crime was typically compared 3 years prior to and 3 years following policy adoption using time series and negative‐binomial modeling. Separate models were run for each area and each crime.
Results
Study hypotheses were partially supported. Malt liquor restrictions in AIAs were associated with significant decreases in crime, particularly certain Part II crimes and assaults (simple and aggravated) in 12 of the 23 models. The strength of the observed associations varied by AIA. Average monthly crime counts across all crime categories decreased more in the Tacoma AIA than in Spokane AIAs, and average monthly crime decreased more in Spokane AIA 2 (East Central) than in AIA 1 (Downtown Core). Malt liquor restrictions were significantly associated with increases in disorderly conduct in the Tacoma AIA; the increase, however, was small.
Conclusions
Findings suggest that malt liquor policies such as AIAs may be one of a number of tools local officials can use to reduce alcohol‐related crime in cities, especially less‐serious crime.
Local officials in Spokane and Tacoma have implemented policies to restrict specific brands of malt liquor in designated areas of their cities, called Alcohol Impact Areas (AIAs). In our study, malt liquor restrictions in AIAs were associated with significant decreases in crime, particularly certain Part II crimes and assaults. The effectiveness of AIAs in reducing crime varied by AIA (Fig. 1) with decreases in crime greatest in Tacoma. Results suggest that the effectiveness of AIAs varies by local conditions.
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