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  1. Book ; Online ; E-Book: Handbook of global urban health

    Vojnovic, Igor / Pearson, Amber L. / Asiki, Gershim / DeVerteuil, Goeffrey / Allen, Adriana

    (Routledge handbooks)

    2019  

    Title variant Global urban health
    Author's details edited by Igor Vojnovic, Amber L. Pearson, Gershim Asiki, Geoffrey DeVerteuil and Adriana Allen
    Series title Routledge handbooks
    Keywords Urban health ; World health
    Subject code 362.1042
    Language English
    Size 1 Online-Ressource (xiv, 825 Seiten), Illustrationen, Diagramme, Karten
    Publisher Routledge, Taylor & Francis Group
    Publishing place New York
    Publishing country Great Britain
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT020128775
    ISBN 978-1-315-46544-9 ; 978-1-315-46545-6 ; 978-1-315-46543-2 ; 9781138206250 ; 1-315-46544-2 ; 1-315-46545-0 ; 1-315-46543-4 ; 1138206253
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: A systematic review of audit tools for evaluating the quality of green spaces in mental health research.

    Park, Hyunseo / Brown, Catherine D / Pearson, Amber L

    Health & place

    2024  Volume 86, Page(s) 103185

    Abstract: Research showing the relationship between exposure to green space and health has yielded conflicting results, possibly due to the oversight of green space quality in quantitative studies. This systematic review, guided by the PRISMA framework (registered ...

    Abstract Research showing the relationship between exposure to green space and health has yielded conflicting results, possibly due to the oversight of green space quality in quantitative studies. This systematic review, guided by the PRISMA framework (registered under Prospero ID CRD42023279720), focused on audit tools for green space quality in mental health research. From 4028 studies, 13 were reviewed, with 77 % linking better mental health outcomes to higher green space quality. Eight tools, especially Public Open Space and Dillen et al. tools demonstrated strong correlations with mental health. Certain green space qualities like grass, pathways, and water elements showed positive health associations. Future research should aim for standardized quality metrics and robust methodologies to support causal inferences and efficient assessments.
    MeSH term(s) Humans ; Mental Health ; Parks, Recreational ; Environment ; Water ; Benchmarking
    Chemical Substances Water (059QF0KO0R)
    Language English
    Publishing date 2024-02-09
    Publishing country England
    Document type Systematic Review ; Journal Article ; Review
    ZDB-ID 1262540-1
    ISSN 1873-2054 ; 1353-8292
    ISSN (online) 1873-2054
    ISSN 1353-8292
    DOI 10.1016/j.healthplace.2024.103185
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Systematic review of best practices for GPS data usage, processing, and linkage in health, exposure science and environmental context research.

    Pearson, Amber L / Tribby, Calvin / Brown, Catherine D / Yang, Jiue-An / Pfeiffer, Karin / Jankowska, Marta M

    BMJ open

    2024  Volume 14, Issue 2, Page(s) e077036

    Abstract: Global Positioning System (GPS) technology is increasingly used in health research to capture individual mobility and contextual and environmental exposures. However, the tools, techniques and decisions for using GPS data vary from study to study, making ...

    Abstract Global Positioning System (GPS) technology is increasingly used in health research to capture individual mobility and contextual and environmental exposures. However, the tools, techniques and decisions for using GPS data vary from study to study, making comparisons and reproducibility challenging.
    Objectives: The objectives of this systematic review were to (1) identify best practices for GPS data collection and processing; (2) quantify reporting of best practices in published studies; and (3) discuss examples found in reviewed manuscripts that future researchers may employ for reporting GPS data usage, processing and linkage of GPS data in health studies.
    Design: A systematic review.
    Data sources: Electronic databases searched (24 October 2023) were PubMed, Scopus and Web of Science (PROSPERO ID: CRD42022322166).
    Eligibility criteria: Included peer-reviewed studies published in English met at least one of the criteria: (1) protocols involving GPS for exposure/context and human health research purposes and containing empirical data; (2) linkage of GPS data to other data intended for research on contextual influences on health; (3) associations between GPS-measured mobility or exposures and health; (4) derived variable methods using GPS data in health research; or (5) comparison of GPS tracking with other methods (eg, travel diary).
    Data extraction and synthesis: We examined 157 manuscripts for reporting of best practices including wear time, sampling frequency, data validity, noise/signal loss and data linkage to assess risk of bias.
    Results: We found that 6% of the studies did not disclose the GPS device model used, only 12.1% reported the per cent of GPS data lost by signal loss, only 15.7% reported the per cent of GPS data considered to be noise and only 68.2% reported the inclusion criteria for their data.
    Conclusions: Our recommendations for reporting on GPS usage, processing and linkage may be transferrable to other geospatial devices, with the hope of promoting transparency and reproducibility in this research.
    Prospero registration number: CRD42022322166.
    MeSH term(s) Humans ; Geographic Information Systems ; Reproducibility of Results ; Noise ; Data Collection ; Environmental Exposure/adverse effects
    Language English
    Publishing date 2024-02-01
    Publishing country England
    Document type Systematic Review ; Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2599832-8
    ISSN 2044-6055 ; 2044-6055
    ISSN (online) 2044-6055
    ISSN 2044-6055
    DOI 10.1136/bmjopen-2023-077036
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Neighborhood features moderate genetic and environmental influences on children's social information processing.

    Shewark, Elizabeth A / Vazquez, Alexandra Y / Pearson, Amber L / Klump, Kelly L / Burt, S Alexandra

    Developmental psychology

    2024  Volume 60, Issue 4, Page(s) 610–623

    Abstract: Neighborhood is a key context where children learn to process social information; however, the field has largely overlooked the ways children's individual characteristics might be moderated by neighborhood effects. We examined 1,030 six- to 11-year-olds ( ...

    Abstract Neighborhood is a key context where children learn to process social information; however, the field has largely overlooked the ways children's individual characteristics might be moderated by neighborhood effects. We examined 1,030 six- to 11-year-olds (48.7% female; 82% White) twin pairs oversampled for neighborhood disadvantage from the Twin Study of Behavioral and Emotional Development in Children. We evaluated neighbor reports (
    MeSH term(s) Adolescent ; Child ; Female ; Humans ; Male ; Aggression ; Child Behavior Disorders/psychology ; Cognition ; Residence Characteristics ; Social Perception
    Language English
    Publishing date 2024-02-29
    Publishing country United States
    Document type Journal Article ; Twin Study
    ZDB-ID 2066223-3
    ISSN 1939-0599 ; 0012-1649
    ISSN (online) 1939-0599
    ISSN 0012-1649
    DOI 10.1037/dev0001690
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A Critical Appraisal of a University's Response to a Campus Mass Shooting: Perspectives from Public Health Students and Researchers at Michigan State University.

    Brown, Catherine D / Shewark, Elizabeth / Pepper, Joshua / Ali, Muzammil / Pearson, Amber L

    Population health management

    2024  

    Abstract: Mass shootings are a public health crisis and have become more frequent on U.S. university campuses over the past decade, with the number doubling since 2000. Due to this alarming trend, many institutions have developed response strategies for active ... ...

    Abstract Mass shootings are a public health crisis and have become more frequent on U.S. university campuses over the past decade, with the number doubling since 2000. Due to this alarming trend, many institutions have developed response strategies for active shooting events. Yet, the extent to which these response strategies address the needs and minimize harm for students, faculty, and staff has not been evaluated critically after a campus mass shooting. Michigan State University (MSU) experienced a mass shooting on February 13, 2023. Before, during, and 6 months following this tragedy, the university employed an estimated 18 strategies to inform, support, and protect its students, faculty, and staff. While MSU continues to address concerns and roll out programs related to this event, here we aimed to (1) create a timeline of resources and communication provided by MSU from the event to 6 months post-event; (2) critically evaluate the extent to which these resources met the needs of students, faculty, and staff through a survey among persons involved in public health research; and (3) identify potential areas for improvement in the university's responses. We used an online survey where participants (
    Language English
    Publishing date 2024-04-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2454546-6
    ISSN 1942-7905 ; 1942-7891
    ISSN (online) 1942-7905
    ISSN 1942-7891
    DOI 10.1089/pop.2023.0294
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Associations between neighborhood built, social, or toxicant conditions and child externalizing behaviors in the Detroit metro area: a cross-sectional study of the neighborhood 'exposome'.

    Pearson, Amber L / Shewark, Elizabeth A / Burt, S Alexandra

    BMC public health

    2022  Volume 22, Issue 1, Page(s) 1064

    Abstract: Background: The specific 'active ingredients' through which neighborhood disadvantage increases risk for child psychopathology remains unclear, in large part because research to date has nearly always focused on poverty to the exclusion of other ... ...

    Abstract Background: The specific 'active ingredients' through which neighborhood disadvantage increases risk for child psychopathology remains unclear, in large part because research to date has nearly always focused on poverty to the exclusion of other neighborhood domains. The objective of this study was to evaluate whether currently assessed neighborhood built, social, or toxicant conditions were associated with child externalizing psychopathology outcomes separately, and in a combined model, using data from the Detroit-metro county area.
    Methods: We conducted principal components analyses for built, social, or toxicant conditions. Next, we fitted separate multiple regression models for each of the child externalizing psychopathology measures (oppositional defiant and conduct problems) as a function of built, social, or toxicant components.
    Results: We found that built features (more non-profits, churches, and alcohol outlets, and less agriculture and vacant properties) were associated with conduct problems, while toxicant conditions (high percent industrial, toxins released and number of pre-1978 structures) were associated with oppositional defiance problems. There was no significant association between greenspace or social conditions and child externalizing outcomes. When examined simultaneously, only the significant independent association between built conditions and conduct problems remained.
    Conclusions: Built, social, and toxicant neighborhood conditions are not interchangeable aspects of a given neighborhood. What's more, built features are uniquely associated with child externalizing outcomes independently of other neighborhood characteristics. Future research should consider how changes in the built conditions of the neighborhood (e.g., development, decay) serve to shape child externalizing behaviors, with a focus on identifying potentially actionable elements.
    MeSH term(s) Child ; Child Behavior ; Cross-Sectional Studies ; Exposome ; Humans ; Problem Behavior ; Residence Characteristics
    Language English
    Publishing date 2022-05-28
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2041338-5
    ISSN 1471-2458 ; 1471-2458
    ISSN (online) 1471-2458
    ISSN 1471-2458
    DOI 10.1186/s12889-022-13442-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Using linked accelerometer and GPS data for characterizing children's schoolyard physical activity: An overview of hot spot analytic decisions with reporting guidelines.

    Clevenger, Kimberly A / Pfeiffer, Karin A / Pearson, Amber L

    Spatial and spatio-temporal epidemiology

    2022  Volume 43, Page(s) 100548

    Abstract: Hot spot analysis of linked accelerometer and Global Positioning System data is often used to identify areas of high/low activity in the schoolyard. We illustrate the potential impact of a suite of methodological decisions (i) accelerometer metric; (ii) ... ...

    Abstract Hot spot analysis of linked accelerometer and Global Positioning System data is often used to identify areas of high/low activity in the schoolyard. We illustrate the potential impact of a suite of methodological decisions (i) accelerometer metric; (ii) monitor epoch; (iii) number of recess periods/days and level of aggregation; (iv) sample size; (v) distance band; (vi) spatial versus spatiotemporal weighting scheme; and (vii) time band. Accelerometer metrics resulted in different clustering patterns. Longer epochs resulted in a less detailed picture of schoolyard behavior. Level of data aggregation impacted cluster patterns due to inter-period and inter-day differences, but clusters were consistent with increasing sample size. Use of spatiotemporal weight matrices resulted in better separation of hot and cold spots and revealed potentially important temporal clustering patterns. Increasing distance or time band resulted in reallocation of small clusters to larger clusters. Hot spot analysis decisions should be clearly reported in future studies.
    MeSH term(s) Child ; Humans ; Accelerometry ; Cluster Analysis ; Exercise
    Language English
    Publishing date 2022-11-12
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2515896-X
    ISSN 1877-5853 ; 1877-5845
    ISSN (online) 1877-5853
    ISSN 1877-5845
    DOI 10.1016/j.sste.2022.100548
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Comparison of methods to estimate water access: a pilot study of a GPS-based approach in low resource settings.

    Pearson, Amber L

    International journal of health geographics

    2016  Volume 15, Issue 1, Page(s) 33

    Abstract: Background: Most water access studies involve self-reported measures such as time spent or simple spatial measures such as Euclidean distance from home to source. GPS-based measures of access are often considered actual access and have shown little ... ...

    Abstract Background: Most water access studies involve self-reported measures such as time spent or simple spatial measures such as Euclidean distance from home to source. GPS-based measures of access are often considered actual access and have shown little correlation with self-reported measures. One main obstacle to widespread use of GPS-based measurement of access to water has been technological limitations (e.g., battery life). As such, GPS-based measures have been limited by time and in sample size.
    Methods: The aim of this pilot study was to develop and test a novel GPS unit, (≤4-week battery life, waterproof) to measure access to water. The GPS-based method was pilot-tested to estimate number of trips per day, time spent and distance traveled to source for all water collected over a 3-day period in five households in south-western Uganda. This method was then compared to self-reported measures and commonly used spatial measures of access for the same households.
    Results: Time spent collecting water was significantly overestimated using a self-reported measure, compared to GPS-based (p < 0.05). In contrast, both the GIS Euclidean distances to nearest and actual primary source significantly underestimated distances traveled, compared to the GPS-based measurement of actual travel paths to water source (p < 0.05). Households did not consistently collect water from the source nearest their home. Comparisons between the GPS-based measure and self-reported meters traveled were not made, as respondents did not feel that they could accurately estimate distance. However, there was complete agreement between self-reported primary source and GPS-based.
    Conclusions: Reliance on cross-sectional self-reported or simple GIS measures leads to misclassification in water access measurement. This new method offers reductions in such errors and may aid in understanding dynamic measures of access to water for health studies.
    Language English
    Publishing date 2016--20
    Publishing country England
    Document type Journal Article
    ISSN 1476-072X
    ISSN (online) 1476-072X
    DOI 10.1186/s12942-016-0062-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Spatial heterogeneity of household water insecurity in rural Uganda: implications for development

    Stuart, Eliza / Stoler, Justin / Pearson, Amber L. / Asiki, Gershim

    Water International. 2023 Feb. 17, v. 48, no. 2 p.282-301

    2023  

    Abstract: Little is known about the micro-scale spatial patterns of household water insecurity and their implications for community water interventions. This cross-sectional study analyses the location data of 250 households surveyed in Arua, Uganda, in August– ... ...

    Abstract Little is known about the micro-scale spatial patterns of household water insecurity and their implications for community water interventions. This cross-sectional study analyses the location data of 250 households surveyed in Arua, Uganda, in August–September 2017 to evaluate correlates and geospatial clustering of household water insecurity, that is, geographical patterns in how water insecurity is experienced. The spatial cluster analysis identified clusters or outliers in every community, though with different spatial patterns. Household water insecurity was positively associated with food insecurity, round-trip fetching time, and water-related conflict within households and with neighbours. The observed spatial heterogeneity provides a new view of how household water insecurity experiences may vary in space and time, and can help practitioners understand the heterogeneity of impact that is often observed in water interventions.
    Keywords cluster analysis ; cross-sectional studies ; food security ; spatial variation ; water ; Uganda ; Water insecurity ; food insecurity ; conflict ; geographical information system (GIS) ; spatial analysis ; Sub-Saharan Africa
    Language English
    Dates of publication 2023-0217
    Size p. 282-301.
    Publishing place Routledge
    Document type Article ; Online
    ISSN 1941-1707
    DOI 10.1080/02508060.2023.2183641
    Database NAL-Catalogue (AGRICOLA)

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  10. Article ; Online: Four recommendations to tackle the complex reality of transdisciplinary, natural experiment research.

    Pearson, Amber L / Pfeiffer, Karin A / Buxton, Rachel T / Horton, Teresa H / Gardiner, Joseph / Asana, Ventra

    Frontiers in public health

    2023  Volume 11, Page(s) 1240231

    Abstract: Natural experiments are often used to study interventions in which randomization to control versus intervention conditions are impossible. Nature-based interventions (i.e., programs designed to increase human interaction with nature and improve human ... ...

    Abstract Natural experiments are often used to study interventions in which randomization to control versus intervention conditions are impossible. Nature-based interventions (i.e., programs designed to increase human interaction with nature and improve human health) are commonly studied as natural experiments. We used a natural experiment design to explore the benefits of ecological rehabilitation of parks on biodiversity and resident health in low-income, minoritized neighborhoods in Detroit, MI. Given the complexities and interconnectedness of lived experiences, community needs, and ecological health, this research design has presented challenges. Based on our experiences, we pose four key recommendations for researchers and practitioners conducting natural experiments, nature-based interventions, and those working in low-income, minoritized neighborhoods. We use the explicit examples of challenges faced as rationale for these recommendations. The key recommendations are (1) Engage with community leaders; (2) Build a transdisciplinary team and work closely; (3) Examine privilege; and (4) Create a unified vision.
    MeSH term(s) Humans ; Poverty ; Residence Characteristics ; Research Personnel ; Biodiversity
    Language English
    Publishing date 2023-10-18
    Publishing country Switzerland
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2023.1240231
    Database MEDical Literature Analysis and Retrieval System OnLINE

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