Jeremy Mennis
Biographic Data
| ID | 635715 |
|---|---|
| NAME | Jeremy Mennis |
| GIVEN NAMES | Jeremy |
| FAMILY NAME | Mennis |
| SIGNATURE | MENNIS J |
| AFFILIATIONS | Temple University |
| ORCID | 0000-0001-6319-8622 |
| VERIFIED | Yes |
| TOTAL WORKS | 43 |
| TOTAL CITATIONS | 171 |
| AUTHOR COUNT | 43 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2002 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 8 |
Rural and urban variation in mobile health substance use disorder treatment mechanisms and efficacy
Residents of rural areas face significant barriers to substance use disorder (SUD) treatment, including poor access, stigma, lack of confidentiality, and distrust of mental health services, which may inhibit treatment engagement. Mobile health (mHealth) approaches offer personalized, private, and easily accessible SUD treatment for rural residents, but differences in treatment mechanisms and efficacy across rural and urban regions are unknown. Th…
Time-Varying Path-Specific Direct and Indirect Effects: A Novel Approach to Examine Dynamic Behavioral Processes with Application to Smoking Cessation
Behavioral processes are often complex, and vary over time, requiring intensive longitudinal data to effectively capture the dynamic elements involved. For example, examining daily socio-behavioral and treatment adherence data collected during a smoking quit attempt, can reveal how, when, and why withdrawal symptoms change, offering insight into critical windows of relapse-risk in the cessation process. However, analytical methods (e.g., time-var…
Mapping Origins of Escape from Slavery on the Underground Railroad: The Records of Black Abolitionist William Still, 1853–1861
This research investigates the geographic distribution of the place origins and modes of travel of Blacks escaping slavery from the US South on the Philadelphia, Pennsylvania branch of the Underground Railroad between 1853 and 1861. We use digital data abstracted from nearly 1,000 narrative accounts of escape as originally recorded, and ultimately published as a book, by Black abolitionist William Still. We employ geographic information systems (…
Young Adults Advancing Through the Stages of Change: A Mediational Analysis of Cannabis Use Disorder Treatment
BACKGROUND AND OBJECTIVES: The Stages of Change (SoC) model explains addictive behavior change through 5 stages: precontemplation, contemplation, preparation, action, and maintenance. Limited evidence exists from randomized controlled trials testing the SoC model in Cannabis Use Disorder (CUD) treatments. The aim of this study was to test the indirect effects of Peer Network Counseling- text (PNC-txt), a text-message delivered motivational interv…
Depressive and Anxiety Symptoms Moderate Cannabis Use Disorder Treatment Effects: A Randomized Clinical Trial with Young Adults
A Methodological Case Example of Capturing Social-Spatial Effects on Behavioral Health Treatment Outcomes
Why Are Adolescent Cannabis Use Disorder Treatment Admissions Declining in the US? The Mediated Pathway of State Treatment Admissions Rates before and after Recreational Cannabis Legalization
Purpose: State-level prevalence data are used to investigate whether recreational cannabis legalization moderates the mediated pathway from the perception of low risk of harm, to cannabis use, to cannabis use disorder (CUD) treatment admissions, among adolescents (age 12–17) in the US. Methods: Annual state prevalence measures of perception of low risk, cannabis use, and CUD treatment admissions between 2008 and 2019 (N = 542 state-year observati…
Urban and Rural Differences in the Efficacy of a Mobile Health Depression Treatment for Young Adults
Depression among young adults represents a growing health problem in the U.S., but access to effective treatment remains a challenge. Mobile health (mHealth) approaches promise to deliver accessible and effective depression treatment; however, questions remain regarding how mHealth depression treatment efficacy may vary geographically based on urban and rural environmental contexts. The present study addresses this knowledge gap by leveraging dat…
Environmental Impacts on Behavioral Health Interventions: The Moderating Effect of Neighborhood Deprivation on a Mobile Health Treatment for Depression
Relatively little scholarly attention has been given to incorporating geographic principles into investigations of behavioral health intervention efficacy—where, and why, a behavioral health intervention might be more effective in one place versus another. We address this research gap by leveraging data from a randomized controlled trial in a post-hoc analysis to investigate whether socioeconomic deprivation in the residential neighborhood modera…
At the Crossroads in the Opioid Overdose Epidemic: Will Evidence-Based “Radical” but Rational Drug Policy Strategies Prevail
At the Crossroads in the Opioid Overdose Epidemic: Will Evidence-Based “Radical” but Rational Drug Policy Strategies Prevail? Gerald J. Stahler PhD, Jeremy Mennis PhD, and Steven Belenko PhD Affiliation Gerald J. Stahler and Jeremy Mennis are with the Department of Geography and Urban Studies, Temple University, Philadelphia, PA. Steven Belenko is with the Department of Criminal Justice, Temple University. CopyRightCorrespondence should be sent t…
Predicting Self-Medication with Cannabis in Young Adults with Hazardous Cannabis Use
Using cannabis to reduce psychological and physical distress, referred to as self-medication, is a significant risk factor for cannabis use disorder. To better understand this high-risk behavior, a sample of 290 young adults (ages 18-25; 45.6% female) were recruited from two U.S. universities in January and February of 2020 to complete a survey about their cannabis use and self-medication. Results: seventy-six percent endorsed using cannabis to r…
Residential Greenspace and Urban Adolescent Substance Use: Exploring Interactive Effects with Peer Network Health, Sex, and Executive Function
While urban greenspace is increasingly recognized as important to mental health, its role in substance use is understudied. This exploratory study investigates the interaction of greenspace with peer network health, sex, and executive function (EF) in models of substance use among a sample of disadvantaged, urban youth. Adolescents and their parents were recruited from a hospital in the mid-Atlantic region of the U.S. Residential greenspace at th…
Neighborhood disadvantage moderates the effect of a mobile health intervention on adolescent depression
The Effect of Brick and Granite Block Paving Materials on Traffic Speed
Slowing traffic speed in urban areas has been shown to reduce pedestrian injuries and fatalities due to automobile accidents. This research aims to measure how brick and granite block paving materials, which were widely used historically prior to the use of asphalt paving in many cities, may influence free flow traffic speed. Traffic speeds for 690 vehicles traversing street blocks paved with asphalt, granite block, and brick materials were measu…
The role of sex, executive functioning, and perceptions of safety on urban adolescent substance use
Background: Perceptions of safety within one’s activity space (commonly frequented locations) reduces risk for adolescent substance use. Less is known about urban adolescents’ neuropsychological vulnerabilities to substance use and how these may interact with activity space risk. Questions regarding how male and female adolescents respond to these interactions have yet to be sufficiently studied. Method: To examine these interactions, we conducte…
Urban greenspace is associated with reduced psychological stress among adolescents: A Geographic Ecological Momentary Assessment (Gema) analysis of activity space
Geographic Imputation of Missing Activity Space Data from Ecological Momentary Assessment (EMA) GPS Positions
This research presents a pilot study to develop and compare methods of geographic imputation for estimating the location of missing activity space data collected using geographic ecological momentary assessment (GEMA). As a demonstration, we use data from a previously published analysis of the effect of neighborhood disadvantage, captured at the U.S. Census Bureau tract level, on momentary psychological stress among a sample of 137 urban adolesce…
Geographic Representation in GIS and Art: Common Threads as Exemplified in Paintings by Seurat, Signac, Mondrian, and Diebenkorn
This article explores the relationship between geographic representation in geographic information systems (GIS) and in art, as illustrated by the vector and raster spatial data models used in GIS and their affinity with representational painting techniques employed by the painters Georges Seurat (1859–1891), Paul Signac (1863–1935), Piet Mondrian (1872–1944), and Richard Diebenkorn (1922–1993). The location-based raster data model is discussed i…
Data Structure, Raster
The raster data structure is an approach for encoding spatial data computationally for use within a geographic information system. Its organizational strategy is the exhaustive tessellation of space into a set of nonoverlapping spatial units, typically square grid cells. The raster data structure is location‐based in that for each grid cell location a value is recorded. The full raster encoding is thus simply a matrix or 2‐D array or values. The …
Dasymetric Mapping
A dasymetric map is a type of thematic map intended to represent a statistical surface of density, most commonly population density. The process of dasymetric mapping refers to the transformation of data encoded in a choropleth map into a dasymetric map, or at least a representation that better approaches a dasymetric map. The process incorporates an ancillary data layer, typically an area‐class map. The source zones of the choropleth map are the…
Application of spatial statistical techniques
Environmental justice is an inherently spatial issue, as one of its central concerns revolves around the relationship between the spatial distribution of environmental risk and the spatial distribution of traditionally disenfranchised population groups, such as the poor, the vulnerable, and racial and ethnic minorities. This chapter reviews the application of spatial statistics in environmental justice research and the specific spatial statistica…
Text Message Delivered Peer Network Counseling for Adolescent Smokers: A Randomized Controlled Trial
The role of tobacco outlet density in a smoking cessation intervention for urban youth
Young adolescents' perceived activity space risk, peer networks, and substance use
Latino Population Growth and Hospital Uncompensated Care in California
Objectives. We examined the association between the size and growth of Latino populations and hospitals’ uncompensated care in California. Methods. Our sample consisted of general acute care hospitals in California operating during 2000 and 2010 (n = 251). We merged California hospital data with US Census data for each hospital service area. We used spatial analysis, multivariate regression, and fixed-effect models. Results. We found a significan…
The Distribution of Environmental Equity: Exploring Spatial Nonstationarity in Multivariate Models of Air Toxic Releases
Conventional multivariate regression can hide important local variations in the relationships among independent and dependent variables in models of environmental equity. Geographically weighted regression (GWR), in combination with choropleth mapping, can reveal this spatial nonstationarity and shed light on its form. We use GWR, in combination with conventional univariate and multivariate statistics, to model the density of air toxic releases i…
The Economic Impact of Greening Urban Vacant Land: A Spatial Difference-In-Differences Analysis
Vacant land is a serious problem in many cities, and cities have recently begun to explore greening as a management strategy to reduce the negative influence of vacancy. The city of Philadelphia, Pennsylvania pioneered the use of a simple greening treatment-removal of debris coupled with planting grass and trees-as a means of improving blighted communities. Though they are becoming more popular, the actual economic impact of these programs is not…
Intelligent Dasymetric Mapping and Its Application to Areal Interpolation
This research presents a new “intelligent ” dasymetric mapping technique (IDM), which combines an analyst’s domain knowledge with a data-driven methodology to specify the functional relationship of the ancillary classes with the underlying statistical surface being mapped. The data-driven component of IDM employs a flexible empirical sampling approach to acquire information on the data densities of individual ancillary classes, and it uses the ra…
Influences of Neighborhood Context, Individual History and Parenting Behavior on Recidivism Among Juvenile Offenders
Using Geographic Information Systems to Create and Analyze Statistical Surfaces of Population and Risk for Environmental Justice Analysis
Objective. Methodological issues associated with the conventional statistical approach to environmental justice research, such as scale of analysis, continue to make assessments of environmental injustice problematic. Geographic information systems (GIS) can be used to facilitate multiscale analysis through the generation of statistical surface representations of both socioeconomic character and environmental risk. Methods. As a case study, U.S. …
People, Places, and Adolescent Substance Use: Integrating Activity Space and Social Network Data for Analyzing Health Behavior
This research investigates the influence of place and social network characteristics on substance use among a sample of 215 urban, primarily African American, adolescents in Philadelphia, Pennsylvania. We utilize survey data that capture the places that adolescents perceive to be risky and safe, as well as their home location. The survey also captures the egocentric social network characteristics that are associated with each type of place for ea…
Neighborhood Collective Efficacy and Dimensions of Diversity: A Multilevel Analysis
Collective efficacy is becoming an increasingly important concept within the social and health sciences as researchers question how the social environment of a neighborhood influences a host of individual psychological, behavioral, and health outcomes. We investigate whether ethnic as well as other dimensions of neighborhood-level diversity are associated with collective efficacy. Survey data are used to capture perceptions of neighborhood cooper…
Dasymetric Mapping for Estimating Population in Small Areas
A dasymetric map depicts a statistical surface, most commonly population density, as a set of simply connected regions, such that variation within each region is minimized and the region boundaries approximate the steepest escarpments of the surface. Dasymetric mapping has its roots in early thematic mapping of population, but has recently been taken up by researchers focusing on areal interpolation and population estimation using remote sensing.…
Young adolescents' perceived activity space risk, peer networks, and substance use
The role of tobacco outlet density in a smoking cessation intervention for urban youth
Valuing but Not Liking School: Revisiting the Relationship Between School Attitudes and Substance Use Among Urban Youth
Research has found strong linkages between adolescent substance use and attitudes toward school. Few studies of this relationship, however, consider the different dimensions of students’ school attitudes, separating perceptions of the importance of school from the quality of students’ affective experiences therein. Using a sample of 301 urban adolescents, evenly divided into substance users and nonusers, this study examines the relationships betw…
Geographic Barriers to Community-Based Psychiatric Treatment for Drug-Dependent Patients
The World Health Organization has urged governments worldwide to implement evidence-based treatment services for drug addiction and mental health disorders, but the role of geographic characteristics in influencing treatment continuity for this population has been largely understudied. Here, we employ logistic regression (N = 294) to investigate how accessibility and neighborhood socioeconomic context influenced treatment continuity for a sample …
Neighborhood disadvantage moderates the effect of a mobile health intervention on adolescent depression
Geographic Representation in GIS and Art: Common Threads as Exemplified in Paintings by Seurat, Signac, Mondrian, and Diebenkorn
This article explores the relationship between geographic representation in geographic information systems (GIS) and in art, as illustrated by the vector and raster spatial data models used in GIS and their affinity with representational painting techniques employed by the painters Georges Seurat (1859–1891), Paul Signac (1863–1935), Piet Mondrian (1872–1944), and Richard Diebenkorn (1922–1993). The location-based raster data model is discussed i…
Geospatial Technology and the “Exposome”: New Perspectives on Addiction
Addiction represents one of the greatest public health problems facing the United States. Advances in addiction research have focused on the neurobiology of this disease. We discuss potential new breakthroughs in understanding the other side of gene-environment interactions—the environmental context or “exposome” of addiction. Such research has recently been made possible by advances in geospatial technologies together with new mobile and sensor …
Patterns of place‐based self‐regulation and associated mental health of urban adolescents
Efforts to simultaneously address adolescent self‐regulation, activity space (routine locations), and mental health represent a promising social ecological approach aimed at understanding the lives and development of urban youth. This type of examination of contextual influences on self‐regulation is considered an important area of developmental research, yet one that is understudied (McCabe, Cunnington, & Brooks‐Gunn, 2004 ). Little is known abo…
Using Geographic Information Systems to Create and Analyze Statistical Surfaces of Population and Risk for Environmental Justice Analysis
Objective. Methodological issues associated with the conventional statistical approach to environmental justice research, such as scale of analysis, continue to make assessments of environmental injustice problematic. Geographic information systems (GIS) can be used to facilitate multiscale analysis through the generation of statistical surface representations of both socioeconomic character and environmental risk. Methods. As a case study, U.S. …
Generating Surface Models of Population Using Dasymetric Mapping
Aggregated demographic datasets are associated with analytical and cartographic problems due to the arbitrary nature of areal unit partitioning. This article describes a methodology for generating a surface-based representation of population that mitigates these problems. This methodology uses dasymetric mapping and incorporates areal weighting and empirical sampling techniques to assess the relationship between categorical ancillary data and pop…
Cubic Map Algebra Functions for Spatio-Temporal Analysis
We propose an extension of map algebra to three dimensions for spatio-temporal data handling. This approach yields a new class of map algebra functions that we call "cube functions." Whereas conventional map algebra functions operate on data layers representing two-dimensional space, cube functions operate on data cubes representing two-dimensional space over a third-dimensional period of time. We describe the prototype implementation of a spatio…
The Distribution of Environmental Equity: Exploring Spatial Nonstationarity in Multivariate Models of Air Toxic Releases
Conventional multivariate regression can hide important local variations in the relationships among independent and dependent variables in models of environmental equity. Geographically weighted regression (GWR), in combination with choropleth mapping, can reveal this spatial nonstationarity and shed light on its form. We use GWR, in combination with conventional univariate and multivariate statistics, to model the density of air toxic releases i…
Intelligent Dasymetric Mapping and Its Application to Areal Interpolation
This research presents a new “intelligent ” dasymetric mapping technique (IDM), which combines an analyst’s domain knowledge with a data-driven methodology to specify the functional relationship of the ancillary classes with the underlying statistical surface being mapped. The data-driven component of IDM employs a flexible empirical sampling approach to acquire information on the data densities of individual ancillary classes, and it uses the ra…
Dasymetric Mapping for Estimating Population in Small Areas
A dasymetric map depicts a statistical surface, most commonly population density, as a set of simply connected regions, such that variation within each region is minimized and the region boundaries approximate the steepest escarpments of the surface. Dasymetric mapping has its roots in early thematic mapping of population, but has recently been taken up by researchers focusing on areal interpolation and population estimation using remote sensing.…
Social and geographic contexts of adolescent substance use: The moderating effects of age and gender
An exploratory study of the effects of neighborhood characteristics on adolescent substance use
A substance abuse treatment sample of 53 adolescents in the Washington, DC, area was used to investigate the influence of individual and neighborhood characteristics on substance use utilizing logistic regression. Cross-validation evaluated model performance. Results of separate individual and neighborhood models indicate that subjects’ race and family history of psychological problems influence the likelihood of substance use, as does the racial…
Patterns of place‐based self‐regulation and associated mental health of urban adolescents
Efforts to simultaneously address adolescent self‐regulation, activity space (routine locations), and mental health represent a promising social ecological approach aimed at understanding the lives and development of urban youth. This type of examination of contextual influences on self‐regulation is considered an important area of developmental research, yet one that is understudied (McCabe, Cunnington, & Brooks‐Gunn, 2004 ). Little is known abo…
Influences of Neighborhood Context, Individual History and Parenting Behavior on Recidivism Among Juvenile Offenders
People, Places, and Adolescent Substance Use: Integrating Activity Space and Social Network Data for Analyzing Health Behavior
This research investigates the influence of place and social network characteristics on substance use among a sample of 215 urban, primarily African American, adolescents in Philadelphia, Pennsylvania. We utilize survey data that capture the places that adolescents perceive to be risky and safe, as well as their home location. The survey also captures the egocentric social network characteristics that are associated with each type of place for ea…
Does vegetation encourage or suppress urban crime? Evidence from Philadelphia, PA
Dimensions of Religiosity and Access to Religious Social Capital: Correlates with Substance Use Among Urban Adolescents
Valuing but Not Liking School: Revisiting the Relationship Between School Attitudes and Substance Use Among Urban Youth
Research has found strong linkages between adolescent substance use and attitudes toward school. Few studies of this relationship, however, consider the different dimensions of students’ school attitudes, separating perceptions of the importance of school from the quality of students’ affective experiences therein. Using a sample of 301 urban adolescents, evenly divided into substance users and nonusers, this study examines the relationships betw…
Geographic Barriers to Community-Based Psychiatric Treatment for Drug-Dependent Patients
The World Health Organization has urged governments worldwide to implement evidence-based treatment services for drug addiction and mental health disorders, but the role of geographic characteristics in influencing treatment continuity for this population has been largely understudied. Here, we employ logistic regression (N = 294) to investigate how accessibility and neighborhood socioeconomic context influenced treatment continuity for a sample …
The Economic Impact of Greening Urban Vacant Land: A Spatial Difference-In-Differences Analysis
Vacant land is a serious problem in many cities, and cities have recently begun to explore greening as a management strategy to reduce the negative influence of vacancy. The city of Philadelphia, Pennsylvania pioneered the use of a simple greening treatment-removal of debris coupled with planting grass and trees-as a means of improving blighted communities. Though they are becoming more popular, the actual economic impact of these programs is not…
Geospatial Technology and the “Exposome”: New Perspectives on Addiction
Addiction represents one of the greatest public health problems facing the United States. Advances in addiction research have focused on the neurobiology of this disease. We discuss potential new breakthroughs in understanding the other side of gene-environment interactions—the environmental context or “exposome” of addiction. Such research has recently been made possible by advances in geospatial technologies together with new mobile and sensor …
Neighborhood Collective Efficacy and Dimensions of Diversity: A Multilevel Analysis
Collective efficacy is becoming an increasingly important concept within the social and health sciences as researchers question how the social environment of a neighborhood influences a host of individual psychological, behavioral, and health outcomes. We investigate whether ethnic as well as other dimensions of neighborhood-level diversity are associated with collective efficacy. Survey data are used to capture perceptions of neighborhood cooper…
Young adolescents' perceived activity space risk, peer networks, and substance use
Latino Population Growth and Hospital Uncompensated Care in California
Objectives. We examined the association between the size and growth of Latino populations and hospitals’ uncompensated care in California. Methods. Our sample consisted of general acute care hospitals in California operating during 2000 and 2010 (n = 251). We merged California hospital data with US Census data for each hospital service area. We used spatial analysis, multivariate regression, and fixed-effect models. Results. We found a significan…
Text Message Delivered Peer Network Counseling for Adolescent Smokers: A Randomized Controlled Trial
The role of tobacco outlet density in a smoking cessation intervention for urban youth
Data Structure, Raster
The raster data structure is an approach for encoding spatial data computationally for use within a geographic information system. Its organizational strategy is the exhaustive tessellation of space into a set of nonoverlapping spatial units, typically square grid cells. The raster data structure is location‐based in that for each grid cell location a value is recorded. The full raster encoding is thus simply a matrix or 2‐D array or values. The …
Dasymetric Mapping
A dasymetric map is a type of thematic map intended to represent a statistical surface of density, most commonly population density. The process of dasymetric mapping refers to the transformation of data encoded in a choropleth map into a dasymetric map, or at least a representation that better approaches a dasymetric map. The process incorporates an ancillary data layer, typically an area‐class map. The source zones of the choropleth map are the…
Application of spatial statistical techniques
Environmental justice is an inherently spatial issue, as one of its central concerns revolves around the relationship between the spatial distribution of environmental risk and the spatial distribution of traditionally disenfranchised population groups, such as the poor, the vulnerable, and racial and ethnic minorities. This chapter reviews the application of spatial statistics in environmental justice research and the specific spatial statistica…
Psychology (22 works) · Medicine (20 works) · Geography (18 works) · Psychiatry (16 works) · Clinical Psychology (15 works) · Social Psychology (15 works) · Computer Science (13 works) · Population (12 works) · Clinical Psychology (11 works) · Environmental health (10 works)