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  1. Book ; Online ; Conference proceedings ; E-Book: Farmed out

    Brock, Clare R.

    agricultural lobbying in a polarized congress

    (Oxford scholarship online)

    2024  

    Abstract: In 'Farmed Out', Clare R. Brock uses U.S. agricultural policy as a vehicle to explain how ...

    Author's details Clare R. Brock
    Series title Oxford scholarship online
    Abstract In 'Farmed Out', Clare R. Brock uses U.S. agricultural policy as a vehicle to explain how the rapidly polarising political environment has altered the role of interest groups in Washington. Drawing on over two decades of lobbying behaviour data in the agricultural sector, Brock argues that polarisation has given interest groups greater influence over policy content, particularly among their ideological and partisan allies. Brock makes an important and original contribution to our understanding of how interest groups now operate within a context of heightened partisanship, lengthened time horizons, and declining institutional capacity.
    Keywords Agriculture and state ; Lobbying ; Farming and Country Life ; Industry & industrial studies
    Subject code 338.1873
    Language English
    Size 1 online resource (193 pages)
    Publisher Oxford University Press
    Publishing place New York, NY
    Document type Book ; Online ; Conference proceedings ; E-Book
    Note Also issued in print: 2024.
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 0-19-768383-5 ; 0-19-768382-7 ; 0-19-768381-9 ; 9780197683798 ; 978-0-19-768383-5 ; 978-0-19-768382-8 ; 978-0-19-768381-1 ; 0197683797
    DOI 10.1093/oso/9780197683798.001.0001
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Overcoming combination fatigue: Addressing high-dimensional effect measure modification and interaction in clinical, biomedical, and epidemiologic research using multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA).

    Evans, Clare R

    Social science & medicine (1982)

    2023  Volume 340, Page(s) 116493

    Abstract: Growing interest in precision medicine, gene-environment interactions, health equity, expanding diversity in research, and the generalizability results, requires researchers to evaluate how the effects of treatments or exposures differ across numerous ... ...

    Abstract Growing interest in precision medicine, gene-environment interactions, health equity, expanding diversity in research, and the generalizability results, requires researchers to evaluate how the effects of treatments or exposures differ across numerous subgroups. Evaluating combination complexity, in the form of effect measure modification and interaction, is therefore a common study aim in the biomedical, clinical, and epidemiologic sciences. There is also substantial interest in expanding the combinations of factors analyzed to include complex treatment protocols (e.g., multiple study arms or factorial randomization), comorbid medical conditions or risk factors, and sociodemographic and other subgroup identifiers. However, expanding the number of subgroup category combinations creates combination fatigue problems, including concerns over small sample size, reduced power, multiple testing, spurious results, and design and analytic complexity. Creative new approaches for managing combination fatigue and evaluating high-dimensional effect measure modification and interaction are needed. Intersectional MAIHDA (multilevel analysis of individual heterogeneity and discriminatory accuracy) has already attracted substantial interest in social epidemiology, and has been hailed as the new gold standard for investigating health inequities across complex intersections of social identity. Leveraging the inherent advantages of multilevel models, a more general multicategorical MAIHDA can be used to study statistical interactions and predict effects across high-dimensional combinations of conditions, with important advantages over alternative approaches. Though it has primarily been used thus far as an analytic approach, MAIHDA should also be used as a framework for study design. In this article, I introduce MAIHDA to the broader health sciences research community, discuss its advantages over conventional approaches, and provide an overview of potential applications in clinical, biomedical, and epidemiologic research.
    MeSH term(s) Humans ; Multilevel Analysis ; Epidemiologic Studies ; Research Design ; Risk Factors ; Medicine
    Language English
    Publishing date 2023-12-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 4766-1
    ISSN 1873-5347 ; 0037-7856 ; 0277-9536
    ISSN (online) 1873-5347
    ISSN 0037-7856 ; 0277-9536
    DOI 10.1016/j.socscimed.2023.116493
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: mSphere of Influence: an Army Marching on Its Stomach-Malaria Parasites Sense and Subvert Host Nutrition.

    Harding, Clare R

    mSphere

    2021  Volume 6, Issue 2

    Abstract: Clare Harding works on the metal biology of the ... ...

    Abstract Clare Harding works on the metal biology of the parasite
    MeSH term(s) Host-Pathogen Interactions ; Humans ; Malaria/parasitology ; Nutritional Status ; Plasmodium/pathogenicity ; Virulence
    Language English
    Publishing date 2021-04-14
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2379-5042
    ISSN (online) 2379-5042
    DOI 10.1128/mSphere.00210-21
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Modeling the intersectionality of processes in the social production of health inequalities.

    Evans, Clare R

    Social science & medicine (1982)

    2019  Volume 226, Page(s) 249–253

    Abstract: Background: The recent pair of studies by Bauer and Scheim make substantial contributions to the literature on intersectionality and health: a validation study of the Intersectional Discrimination Index and a study outlining a promising analytic ... ...

    Abstract Background: The recent pair of studies by Bauer and Scheim make substantial contributions to the literature on intersectionality and health: a validation study of the Intersectional Discrimination Index and a study outlining a promising analytic approach to intersectionality that explicitly considers the roles of social processes in the production of health inequalities.
    Rationale: In this commentary, I situate Bauer and Scheim's contribution within the wider landscape of intersectional scholarship. I also respond to emerging concerns about the value of descriptive intersectional approaches, in particular the critique that such approaches blunt the critical edge and transformative aims of intersectionality. Finally, I outline important future directions for intersectional scholarship modeling social processes, in particular, the need for addressing structural determinants of inequalities intersectionally.
    Conclusions: Whether a study is descriptive or analytic, engagement with theory is essential in order to maintain the critical and transformative edge of intersectionality. Theories of population health such as fundamental causes, social production, and ecosocial theory, should be framed and applied in explicitly intersectional terms. As the field moves toward intersectional evaluations of social processes, attention should be given to all ecological levels but especially the structural/institutional level. This attention includes considering interactions between intersectional social strata and contexts and considering the roles of structural-level discrimination in shaping population health outcomes intersectionally.
    MeSH term(s) Health Status Disparities ; Humans ; Psychometrics/instrumentation ; Psychometrics/trends ; Social Theory
    Language English
    Publishing date 2019-01-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 4766-1
    ISSN 1873-5347 ; 0037-7856 ; 0277-9536
    ISSN (online) 1873-5347
    ISSN 0037-7856 ; 0277-9536
    DOI 10.1016/j.socscimed.2019.01.017
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Reintegrating contexts into quantitative intersectional analyses of health inequalities.

    Evans, Clare R

    Health & place

    2019  Volume 60, Page(s) 102214

    Abstract: Quantitative intersectional analyses often overlook the roles of contexts in shaping intersectional experiences and outcomes. This study advances a novel approach for integrating quantitative intersectional methods with models of contextual-level ... ...

    Abstract Quantitative intersectional analyses often overlook the roles of contexts in shaping intersectional experiences and outcomes. This study advances a novel approach for integrating quantitative intersectional methods with models of contextual-level determinants of health inequalities. Building on recent methodological advancements, I propose an adaptation of intersectional MAIHDA (multilevel analysis of individual heterogeneity and discriminatory accuracy) where respondents are nested hierarchically in social strata defined by gender, race/ethnicity and socioeconomic classifications interacted with contextual classifications. To demonstrate this approach I examine past-month adolescent cigarette use intersectionally by school- and neighborhood-poverty status in Wave 1 of the National Longitudinal Study of Adolescent to Adult Health (N = 17,234). I conclude by discussing the adaptability of this approach to a variety of research questions, including intersectional effects that vary by contextual exposures over time, positions in social networks, and exposures to social policies.
    MeSH term(s) Adolescent ; Female ; Health Status Disparities ; Humans ; Male ; Residence Characteristics/statistics & numerical data ; Schools/statistics & numerical data ; Smoking/epidemiology
    Language English
    Publishing date 2019-09-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 1262540-1
    ISSN 1873-2054 ; 1353-8292
    ISSN (online) 1873-2054
    ISSN 1353-8292
    DOI 10.1016/j.healthplace.2019.102214
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Adding interactions to models of intersectional health inequalities: Comparing multilevel and conventional methods.

    Evans, Clare R

    Social science & medicine (1982)

    2018  Volume 221, Page(s) 95–105

    Abstract: Examining health inequalities intersectionally is gaining in popularity and recent quantitative innovations, such as the development of intersectional multilevel methods, have enabled researchers to expand the number of dimensions of inequality evaluated ...

    Abstract Examining health inequalities intersectionally is gaining in popularity and recent quantitative innovations, such as the development of intersectional multilevel methods, have enabled researchers to expand the number of dimensions of inequality evaluated while avoiding many of the theoretical and methodological limitations of the conventional fixed effects approach. Yet there remains substantial uncertainty about the effects of integrating numerous additional interactions into models: will doing so reveal statistically significant interactions that were previously hidden or explain away interactions seen when fewer dimensions were considered? Furthermore, how does the multilevel approach compare empirically to the conventional approach across a range of conditions? These questions are essential to informing our understanding of population-level health inequalities. I address these gaps using data from the National Longitudinal Study of Adolescent to Adult Health by evaluating conventional and multilevel intersectional models across a range of interaction conditions (ranging from six points of interaction to more than ninety, interacting gender, race/ethnicity/immigration status, parent education, family income, and sexual identification), different model types (linear and logistic), and seven diverse dependent variables commonly examined by health researchers: body mass index, depression, general self-rated health, binge drinking, cigarette use, marijuana use, and other illegal drug use. Findings suggest that adding categories to intersectional analyses will tend to reveal new points of interaction. Stratum-level results from the multilevel approach are robust to cross-classification by school context. Conventional and multilevel approaches differ substantially when tested empirically. I conclude with a detailed consideration of the origin of these differences and provide recommendations for future scholarship of intersectional health inequalities.
    MeSH term(s) Adolescent ; Adult ; Body Mass Index ; Ethnic Groups/statistics & numerical data ; Female ; Health Risk Behaviors ; Health Status Disparities ; Health Surveys ; Humans ; Longitudinal Studies ; Male ; Multilevel Analysis ; Population Health ; Socioeconomic Factors ; United States
    Language English
    Publishing date 2018-11-29
    Publishing country England
    Document type Journal Article
    ZDB-ID 4766-1
    ISSN 1873-5347 ; 0037-7856 ; 0277-9536
    ISSN (online) 1873-5347
    ISSN 0037-7856 ; 0277-9536
    DOI 10.1016/j.socscimed.2018.11.036
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Interactions between the protein barnase and co-solutes studied by NMR.

    Trevitt, Clare R / Yashwanth Kumar, D R / Fowler, Nicholas J / Williamson, Mike P

    Communications chemistry

    2024  Volume 7, Issue 1, Page(s) 44

    Abstract: Protein solubility and stability depend on the co-solutes present. There is little theoretical basis for selection of suitable co-solutes. Some guidance is provided by the Hofmeister series, an empirical ordering of anions according to their effect on ... ...

    Abstract Protein solubility and stability depend on the co-solutes present. There is little theoretical basis for selection of suitable co-solutes. Some guidance is provided by the Hofmeister series, an empirical ordering of anions according to their effect on solubility and stability; and by osmolytes, which are small organic molecules produced by cells to allow them to function in stressful environments. Here, NMR titrations of the protein barnase with Hofmeister anions and osmolytes are used to measure and locate binding, and thus to separate binding and bulk solvent effects. We describe a rationalisation of Hofmeister (and inverse Hofmeister) effects, which is similar to the traditional chaotrope/kosmotrope idea but based on solvent fluctuation rather than water withdrawal, and characterise how co-solutes affect protein stability and solubility, based on solvent fluctuations. This provides a coherent explanation for solute effects, and points towards a more rational basis for choice of excipients.
    Language English
    Publishing date 2024-02-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 2929562-2
    ISSN 2399-3669 ; 2399-3669
    ISSN (online) 2399-3669
    ISSN 2399-3669
    DOI 10.1038/s42004-024-01127-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: A tutorial for conducting intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA).

    Evans, Clare R / Leckie, George / Subramanian, S V / Bell, Andrew / Merlo, Juan

    SSM - population health

    2024  Volume 26, Page(s) 101664

    Abstract: Intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (I-MAIHDA) is an innovative approach for investigating inequalities, including intersectional inequalities in health, disease, psychosocial, socioeconomic, and ... ...

    Abstract Intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (I-MAIHDA) is an innovative approach for investigating inequalities, including intersectional inequalities in health, disease, psychosocial, socioeconomic, and other outcomes. I-MAIHDA and related MAIHDA approaches have conceptual and methodological advantages over conventional single-level regression analysis. By enabling the study of inequalities produced by numerous interlocking systems of marginalization and oppression, and by addressing many of the limitations of studying interactions in conventional analyses, intersectional MAIHDA provides a valuable analytical tool in social epidemiology, health psychology, precision medicine and public health, environmental justice, and beyond. The approach allows for estimation of average differences between intersectional strata (stratum inequalities), in-depth exploration of interaction effects, as well as decomposition of the total individual variation (heterogeneity) in individual outcomes within and between strata. Specific advice for conducting and interpreting MAIHDA models has been scattered across a burgeoning literature. We consolidate this knowledge into an accessible conceptual and applied tutorial for studying both continuous and binary individual outcomes. We emphasize I-MAIHDA in our illustration, however this tutorial is also informative for understanding related approaches, such as
    Language English
    Publishing date 2024-03-26
    Publishing country England
    Document type Journal Article
    ISSN 2352-8273
    ISSN 2352-8273
    DOI 10.1016/j.ssmph.2024.101664
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Investigation of new ferrocenyl-artesunate derivatives as antiparasitics.

    Munnik, Brandon L / Kaschula, Catherine H / Harding, Clare R / Chellan, Prinessa

    Dalton transactions (Cambridge, England : 2003)

    2023  Volume 52, Issue 43, Page(s) 15786–15797

    Abstract: Artesunate (Ars) is a semisynthetic antimalarial drug and is a part of the artemisinin-based combination therapy arsenal employed for malaria treatment. The drug functions mainly by activation of its endoperoxide bridge leading to increased oxidative ... ...

    Abstract Artesunate (Ars) is a semisynthetic antimalarial drug and is a part of the artemisinin-based combination therapy arsenal employed for malaria treatment. The drug functions mainly by activation of its endoperoxide bridge leading to increased oxidative stress in malaria parasites. The purpose of this study was to ascertain the antiparasitic effects of combining ferrocene and Ars
    MeSH term(s) Humans ; Artesunate/pharmacology ; Artesunate/therapeutic use ; Antiparasitic Agents/pharmacology ; Antimalarials/pharmacology ; Malaria, Falciparum/drug therapy ; Malaria/drug therapy ; Plasmodium falciparum ; Amides/pharmacology
    Chemical Substances Artesunate (60W3249T9M) ; Antiparasitic Agents ; Antimalarials ; Amides
    Language English
    Publishing date 2023-11-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 1472887-4
    ISSN 1477-9234 ; 1364-5447 ; 0300-9246 ; 1477-9226
    ISSN (online) 1477-9234 ; 1364-5447
    ISSN 0300-9246 ; 1477-9226
    DOI 10.1039/d3dt02254d
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Intersectional inequities in the birthweight gap between twin and singleton births: A random effects MAIHDA analysis of 2012-2018 New York City birth data.

    Evans, Clare R / Nieves, Christina I / Erickson, Natasha / Borrell, Luisa N

    Social science & medicine (1982)

    2023  Volume 331, Page(s) 116063

    Abstract: Birthweight is a widely-used biomarker of infant health, with inequities patterned intersectionally by maternal age, race/ethnicity, nativity/immigration status, and socioeconomic status in the United States. However, studies of birthweight inequities ... ...

    Abstract Birthweight is a widely-used biomarker of infant health, with inequities patterned intersectionally by maternal age, race/ethnicity, nativity/immigration status, and socioeconomic status in the United States. However, studies of birthweight inequities almost exclusively focus on singleton births, neglecting high-risk twin births. We address this gap using a large sample (N = 753,180) of birth records, obtained from the 2012-2018 New York City (NYC) Department of Health and Mental Hygiene, Bureau of Vital Statistics, representing 99% of all births registered in NYC, and a novel random coefficients intersectional MAIHDA (Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy) model. Our results show evidence of intersectional inequities in birthweight outcomes for both twin and singleton births by maternal age, race/ethnicity, education, and nativity status. Twins have considerably lower predicted birthweights than singletons overall (-930 g on average), and this is especially true for babies born to mothers who are younger (11-19 years), older (40+), racial/ethnic minoritized, foreign-born, and have lower education. However, the magnitude of this birthweight 'gap' between twins and singletons varies considerably across social identity strata, ranging between 830.8 g (observed among 40+ year old Black foreign-born mothers with high school degrees) and 1013.7 g (observed among 30-39 year old Hispanic/Latina foreign-born mothers with less than high school degrees). This study underscored the needs of a high-risk population and the need for aggressive social policies to address health inequities and dismantle intersectional systems of marginalization, oppression, and socioeconomic inequality. In addition to our substantive contributions, we add to the growing methods literature on intersectional quantitative analysis by demonstrating how to apply intersectional MAIHDA with random coefficients and random slopes. We conclude with a discussion of the significant potential for this methodological extension in future research on inequities.
    MeSH term(s) Pregnancy ; Female ; Humans ; United States ; Adult ; Infant, Newborn ; Birth Weight ; New York City ; Infant, Low Birth Weight ; Parturition ; Mothers
    Language English
    Publishing date 2023-07-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 4766-1
    ISSN 1873-5347 ; 0037-7856 ; 0277-9536
    ISSN (online) 1873-5347
    ISSN 0037-7856 ; 0277-9536
    DOI 10.1016/j.socscimed.2023.116063
    Database MEDical Literature Analysis and Retrieval System OnLINE

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