Social Norms: A Missing Ingredient of Programs Seeking to Foster Women's Agency in Nutrition.

Social expectations play a crucial role in shaping dietary practices among women and children. However, despite significant attention to promoting social and behavioral change in nutrition-focused programs and research, the influence of social norms on women's agency in enhancing nutrition practices is often overlooked. In this perspective, we advocate for a paradigm shift by incorporating a "norms aware" approach. This underscores the importance of recognizing, measuring, and addressing the societal constraints and barriers that women and children encounter in their journey to improved nutrition. Drawing on insights from the United States Agency for International Development-funded Kulawa project in Niger, we highlight the implications of using social norms diagnosis tools to understand the contextual dynamics within child-feeding practices, informing intervention design, and targeted populations. Integrating a norms perspective into nutrition programming and research does not require an overhaul, but rather a nuanced application of understanding of contextual drivers, such as social norms and agency, that have been underemphasized. We delve into the role of the socio-ecologic system, underscore the importance of addressing power imbalances related to gender and social hierarchy, and emphasize that programs targeting norms should aim for community rather than individual-level change. We provide guidance for programs and research integrating a norms perspective, as well as examples of how tools, such as the Social Norms Exploration Tool and Social Norms Analysis Plot framework, can be applied to identify and prioritize social norms, facilitating the design of "norms aware" programs. Additionally, we highlight the critical role of community engagement and discuss the value of using qualitative and quantitative approaches to document the process and outcomes of social norms research, program design, and implementation. When we recognize the role of social norms in nutrition as a missing ingredient in nutrition research, programming, and social and behavior change strategies, we create opportunities for more effective and contextually relevant research and interventions that address the complexities of enhancing nutrition practices among women and children.

Cellular psychology: relating cognition to context-sensitive pyramidal cells.

'Cellular psychology' is a new field of inquiry that studies dendritic mechanisms for adapting mental events to the current context, thus increasing their coherence, flexibility, effectiveness, and comprehensibility. Apical dendrites of neocortical pyramidal cells have a crucial role in cognition - those dendrites receive input from diverse sources, including feedback, and can amplify the cell's feedforward transmission if relevant in that context. Specialized subsets of inhibitory interneurons regulate this cooperative context-sensitive processing by increasing or decreasing amplification. Apical input has different effects on cellular output depending on whether we are awake, deeply asleep, or dreaming. Furthermore, wakeful thought and imagery may depend on apical input. High-resolution neuroimaging in humans supports and complements evidence on these cellular mechanisms from other mammals.

Spinoza, Liberation From Causation, and Community Health Promotion.

What sense does it make to say that a new program implemented in a community with roots as old as evolution caused an observed health benefit? Evaluation of community approaches has often sought to isolate the causal roles of interventions. Central to this is the assumption that there are causes to be proven and isolated. Benedict Spinoza (1632-1677) dismissed the concept of cause, arguing that all things, "substances," are not caused but simply are. Actions of things in nature can influence each other, e.g., erosion of a mountain, but their substance, the mountains simply are. For Spinoza, satisfaction in life comes from realizing and acting in accord with our substance, but this requires communities that support such realization and action. Thus, communities and the vast influences they contain are central to human welfare. Interventions within them do not cause benefits but join with the history, culture, and numerous other features of the community in becoming part of how the community influences its members. Implications include a) expanding the social ecological model fully to embrace multiple influences - including innovative programs - and interactions among them, and c) varied research methods to identify practical lessons about how communities may adopt and incorporate innovations to engender change, rather than a catalogue of interventions that are supposed to change them.

Developmental trajectories of students' beliefs about social success: Differences between students with and without a middle school transition.

INTRODUCTION: Attaining social success is a significant concern during early adolescence. The characteristics that youth believe will bring social success are known to change over time and vary across contexts, especially over the transition to middle school. METHODS: The analytic sample included 614 students (52% girls, 48% boys; 53% Black, 47% White) from the Midwestern United States. At yearly intervals during grades 6-8, participants completed self-report surveys assessing their endorsement of five characteristics (sincerity, academic responsibility, dominance, disingenuity, athleticism/attractiveness) that described peers in their grade who have lots of friends and get along well with others (i.e., social success). The sample included students who attended the same school from kindergarten-eighth grade (K8) and students who made a transition from an elementary to a middle school after 6th grade (ESMS). RESULTS: Multigroup longitudinal growth models revealed some concerning trends over time. For both ESMS and K8 students, their endorsement of sincerity decreased, their endorsement of disingenuity increased, and their endorsement of athleticism/attractiveness was high and stable. ESMS students' endorsement of academic responsibility decreased over time and their endorsement of dominance showed increasing trends. K8 students' endorsements of academic responsibility and dominance were stable. However, across contexts, compared to the other characteristics, sincerity was most often ranked the highest. CONCLUSIONS: The findings highlight that some changes in students' beliefs about social success may be unique to students who experience a school transition whereas others may be developmentally normative. Implications for the education of young adolescent students are discussed.

Physical Health Among Black Immigrants by Region of Birth: A Test of the Racial Context Hypothesis.

OBJECTIVE: We test the Racial Context Hypothesis by examining the association between racial context of origin and five physical health outcomes (self-rated health, activity limitation, functional activity limitation, lifetime hypertension, and lifetime cancer) among U.S.-born Black Americans and Black immigrants in the United States. DESIGN: This cross-sectional study used 2000 through 2018 waves of the National Health Interview Survey (NHIS). Our subsample was limited to adults 18 years of age or older who self-identified as Black and selected a distinct global region of birth if not U.S. born (N = 212,269). We employed zero-order logistic regression models to estimate the relationships between each measure of health and racial context by region of birth. RESULTS: Supporting the Racial Context Hypothesis, we found Black immigrants from racially mixed (Mexico, Central America, the Caribbean, South America) and majority-Black contexts (Africa) had lower odds of being in fair or poor self-rated health [aOR 0.786; 0.616; 0.611], reporting any activity limitation [aOR = 0.537; 0.369; 0.678], reporting functional activity limitation [aOR 0.619; 0.425; 0.678], reporting lifetime hypertension diagnosis [aOR 0.596; 0.543; 0.618], and reporting lifetime cancer diagnosis [aOR 0.771; 0.326; 0.641] compared to U.S.-born Black Americans. After controlling for sociodemographic and socioeconomic covariates, Black immigrants from majority-White contexts (Europe) did not significantly differ from U.S.-born Black Americans on these five physical health measures. CONCLUSION: This study expands our understanding of the "Black immigrant advantage" by showing that Black immigrants from predominantly Black and racially mixed regions rated their health status as poor or fair less often, experienced less activity or functional activity limitations, and had a lower risk of lifetime hypertension and cancer compared to U.S.-born Black Americans. The significant associations persisted even after controlling for sociodemographic and socioeconomic characteristics. Black immigrant health is not homogenous, and the racial context of origin Black immigrants come from has an association with their health outcomes.

Specific retinal neurons regulate context-dependent defensive responses to visual threat.

While encountering a visual threat, an animal assesses multiple factors to choose an appropriate defensive strategy. For example, when a rodent detects a looming aerial predator, its behavioral response can be influenced by a specific environmental context, such as the availability of a shelter. Indeed, rodents typically escape from a looming stimulus when a shelter is present; otherwise, they typically freeze. Here we report that context-dependent behavioral responses can be initiated at the earliest stage of the visual system by distinct types of retinal ganglion cells (RGCs), the retina's output neurons. Using genetically defined cell ablation in mature mice, we discovered that some RGC types were necessary for either escaping (alpha RGCs) or freezing (intrinsically photosensitive RGCs) in response to a looming stimulus but not for both behaviors; whereas other RGC types were not required for either behavior (direction-selective RGCs preferring vertical motion). Altogether, our results suggest that specific RGC types regulate distinct behavioral responses elicited by the same threatening stimulus depending on contextual signals in the environment. These findings emphasize the unique contribution of early visual pathways to evolutionally conserved behavioral reactions.

Emerging perspectives for the study of the neural basis of motor behaviour.

The 33rd Annual Meeting of the Society for the Neural Control of Movement (NCM) brought together over 500 experts to discuss recent advancements in motor control. This article highlights key topics from the conference, including the foundational mechanisms of motor control, the ongoing debate over the context-dependency of feedforward and feedback processes, and the interplay between motor and cognitive functions in learning, memory, and decision-making. It also presents innovative methods for studying movement in complex, real-world environments.

Chronic pain experiences of immigrant Indian women in Canada: A photovoice exploration.

Background: Over the past two decades, the prevalence of chronic pain has significantly increased globally, with approximately 20% of the world's population living with pain. Although quantitative measures are useful in identifying pain prevalence and severity, qualitative methods, and especially arts-based ones, are now receiving attention as a valuable means to understand lived experiences of pain. Photovoice is one such method that utilizes individuals' own photography to document their lived experiences. Aims: The current study utilized an arts-based method to explore immigrant Indian women's chronic pain experiences in Canada and aimed to enhance the understanding of those experiences by creating a visual opportunity for them to share their stories. Methods: Twelve immigrant Indian women captured photographs and participated in one-on-one interviews exploring daily experiences of chronic pain. Results: Women's photographs, and description of these photographs, provided a visual entry into their lives and pain experiences. Three themes emerged from our analysis: (1) bodies in pain, (2) traversing spaces including immigration, and (3) pain management methods. Findings revealed that women's representations of pain were shaped by a clash between culturally shaped gender role expectations and changing gender norms due to immigration processes. The use of photovoice visually contextualized and represented pain experiences, proving to be a valuable tool for self-reflection. Conclusions: This research uncovers the multifaceted nature of chronic pain and identifies the influence of immigration, gender, and social relations on the exacerbation of pain in immigrant Indian women.

Contexte : Au cours des deux dernières décennies, la prévalence de la douleur chronique a considérablement augmenté au niveau mondial, alors qu'environ 20 % de la population mondiale vit désormais avec la douleur. Bien que les mesures quantitatives soient utiles pour déterminer la prévalence et la sévérité de la douleur, les méthodes qualitatives, en particulier celles basées sur les arts, sont désormais considérées comme un moyen précieux de comprendre les expériences vécues de la douleur. La méthode Photovoice, qui utilise les photographies prises par les individus pour documenter leurs expériences vécues, est l'une de ces méthodes.Objectifs : Cette étude a utilisé une méthode basée sur les arts pour explorer les expériences de douleur chronique vécues par des femmes immigrantes d'origine indienne au Canada. Elle visait à améliorer la compréhension de ces expériences en leur donnant l'occasion de partager leurs histoires.Méthodes : Douze femmes immigrantes d'origine indienne ont pris des photos et ont participé à des entrevues individuelles portant sur leur expérience quotidienne de la douleur chronique.Résultats : Les photographies des femmes, ainsi que la description de ces photographies, ont permis d'entrer visuellement dans leur vie et leur expérience de la douleur. Trois thémes ont émergé de notre analyse : (1) les corps en souffrance, (2) la traversée des espaces, y compris l'immigration, et (3) les méthodes de prise en charge de la douleur. Les résultats ont révélé que les représentations de la douleur chez les femmes étaient façonnées par un conflit entre les attentes culturelles en matiére de rôle de genre et l'évolution des normes de genre due aux processus d'immigration. L'utilisation de la méthode Photovoice a permis de contextualiser et de représenter visuellement les expériences de la douleur, ce qui s'est avéré un outil précieux pour l'autoréflexion.Conclusions : Cette recherche met en lumiére la nature multifacette de la douleur chronique et révéle l'influence de l'immigration, du genre et des relations sociales sur l'exacerbation de la douleur chez les femmes immigrantes d'origine indienne.

A survey on cell nuclei instance segmentation and classification: Leveraging context and attention.

Nuclear-derived morphological features and biomarkers provide relevant insights regarding the tumour microenvironment, while also allowing diagnosis and prognosis in specific cancer types. However, manually annotating nuclei from the gigapixel Haematoxylin and Eosin (H&E)-stained Whole Slide Images (WSIs) is a laborious and costly task, meaning automated algorithms for cell nuclei instance segmentation and classification could alleviate the workload of pathologists and clinical researchers and at the same time facilitate the automatic extraction of clinically interpretable features for artificial intelligence (AI) tools. But due to high intra- and inter-class variability of nuclei morphological and chromatic features, as well as H&E-stains susceptibility to artefacts, state-of-the-art algorithms cannot correctly detect and classify instances with the necessary performance. In this work, we hypothesize context and attention inductive biases in artificial neural networks (ANNs) could increase the performance and generalization of algorithms for cell nuclei instance segmentation and classification. To understand the advantages, use-cases, and limitations of context and attention-based mechanisms in instance segmentation and classification, we start by reviewing works in computer vision and medical imaging. We then conduct a thorough survey on context and attention methods for cell nuclei instance segmentation and classification from H&E-stained microscopy imaging, while providing a comprehensive discussion of the challenges being tackled with context and attention. Besides, we illustrate some limitations of current approaches and present ideas for future research. As a case study, we extend both a general (Mask-RCNN) and a customized (HoVer-Net) instance segmentation and classification methods with context- and attention-based mechanisms and perform a comparative analysis on a multicentre dataset for colon nuclei identification and counting. Although pathologists rely on context at multiple levels while paying attention to specific Regions of Interest (RoIs) when analysing and annotating WSIs, our findings suggest translating that domain knowledge into algorithm design is no trivial task, but to fully exploit these mechanisms in ANNs, the scientific understanding of these methods should first be addressed.

From use, value and user-centered design to context: A mixed methods analysis of a hospital electronic medical record enhancement.

Objective: This study sought to determine the use and perceived value of a user-centered electronic medical record (EMR) enhancement for stroke care and understand if its value was in alignment with its intended design. The EMR enhancement was introduced into Queensland public hospitals in Australia and included a summary page for enhanced interprofessional collaboration and data collection forms for efficient data extraction. Methods: A mixed methods design was adopted and data collected from four hospital sites. We conducted 15 semistructured interviews with multidisciplinary end-users across participating sites and analyzed this data using inductive thematic techniques. Usage log data was extracted from the EMR to determine its use. Results: Relative use of the summary page showed moderate use, varying from 66 ± 22.5 uses for each stroke patient admission per month (Site 1) to 26.7 ± 9.1 (Site 2). Interviews identified key themes of "visibility" and providing a "quick snapshot" of patient data as the main positive attributes. Technology "functionality" was perceived negatively. Use of the data collection forms was minimal, with inconsistency across sites: (Site 3, 0% to Site 2, 47%). Negative themes of "inefficiency," poor "functionality" and the "trust" required in data entry practices were found. Conclusions: Despite its user-centered design, clinicians did not always use the enhancement in line with its intended design, or grasp its intended value. Our findings highlight the challenges of user-centered design to accurately reflect clinical workflows within different contexts. A greater understanding is required of how to optimize user-centered EMR design for specific hospital contexts.

Ultra-Massive Transfusion: Predictors of Occurrence and In-Hospital mortality From the Australian and New Zealand Massive Transfusion Registry (ANZ-MTR).

Few data exist on patient clinical characteristics, predictors of occurrence and short- and long-term outcomes of ultra-massive transfusion (UMT), defined as receiving 20 units or more of red blood cells (RBCs) within 48h. This study analyses UMT events from the Australian and New Zealand Massive Transfusion Registry (ANZ-MTR). The ANZ-MTR captured all patients at 29 participating sites receiving a massive transfusion (MT), defined as ≥5 units of RBCs within 4h. Of 9028 patients, 803 (8.9%) received an UMT. UMT patients were younger than other MT patients (median age 57y vs 62y; P < .001). In UMT and MT, males predominated (66.3% and 62.9%, respectively); and context was predominantly trauma (28.8% and 23%) and cardiothoracic surgery (CTS) (21.7% and 20.3%). Median RBC units received within 4h were 16 (UMT) and 6 (MT). In UMT, 4h FFP:RBC ratio (0.6 vs 0.4, P < .001), and 4h cryoprecipitate use (72.9% vs 39.9%, P < .001) were higher. Independent predictors of UMT (Odds Ratio; 95% CI) were age <60y (1.52; 1.28-1.79), baseline Hb >100g/L (1.31; 1.08-1.59), INR >1.5 (1.56; 1.24-1.96), and APTT >60s (4.49; 3.40-5.61). Predictors of in-hospital mortality in UMT included Charlson Comorbidity Index score ≥3 (11.20, 0.60 - 25.00) and bleeding context, with mortality less likely in liver transplant (0.07, 0.01-0.41) and more likely in vascular surgery (8.27, 1.54-72.85), compared with CTS. In-hospital mortality was higher in the UMT group compared with MT group (20.5% vs 44.2%, P < .001), however 5y survival following discharge was not significantly different between the groups (HR=0.87 [95%CI 0.64-1.18], P = .38). UMT patients are more commonly younger, with baseline coagulopathy, and have higher in-hospital mortality compared with MT. However, UMT is not futile: 55.8% survived to discharge, without significant difference in survival postdischarge between the groups.

The Automatic Context Measurement Tool (ACMT) to Compile Participant-Specific Built and Social Environment Measures for Health Research: Development and Usability Study.

BACKGROUND: The environment shapes health behaviors and outcomes. Studies exploring this influence have been limited to research groups with the geographic information systems expertise required to develop built and social environment measures (eg, groups that include a researcher with geographic information system expertise). OBJECTIVE: The goal of this study was to develop an open-source, user-friendly, and privacy-preserving tool for conveniently linking built, social, and natural environmental variables to study participant addresses. METHODS: We built the automatic context measurement tool (ACMT). The ACMT comprises two components: (1) a geocoder, which identifies a latitude and longitude given an address (currently limited to the United States), and (2) a context measure assembler, which computes measures from publicly available data sources linked to a latitude and longitude. ACMT users access both of these components using an RStudio/RShiny-based web interface that is hosted within a Docker container, which runs on a local computer and keeps user data stored in local to protect sensitive data. We illustrate ACMT with 2 use cases: one comparing population density patterns within several major US cities, and one identifying correlates of cannabis licensure status in Washington State. RESULTS: In the population density analysis, we created a line plot showing the population density (x-axis) in relation to distance from the center of the city (y-axis, using city hall location as a proxy) for Seattle, Los Angeles, Chicago, New York City, Nashville, Houston, and Boston with the distances being 1000, 2000, 3000, 4000, and 5000 m. We found the population density tended to decrease as distance from city hall increased except for Nashville and Houston, 2 cities that are notably more sprawling than the others. New York City had a significantly higher population density than the others. We also observed that Los Angeles and Seattle had similarly low population densities within up to 2500 m of City Hall. In the cannabis licensure status analysis, we gathered neighborhood measures such as age, sex, commute time, and education. We found the strongest predictive characteristic of cannabis license approval to be the count of female children aged 5 to 9 years and the proportion of females aged 62 to 64 years who were not in the labor force. However, after accounting for Bonferroni error correction, none of the measures were significantly associated with cannabis retail license approval status. CONCLUSIONS: The ACMT can be used to compile environmental measures to study the influence of environmental context on population health. The portable and flexible nature of ACMT makes it optimal for neighborhood study research seeking to attribute environmental data to specific locations within the United States.

ACA-Net: adaptive context-aware network for basketball action recognition.

The advancements in intelligent action recognition can be instrumental in developing autonomous robotic systems capable of analyzing complex human activities in real-time, contributing to the growing field of robotics that operates in dynamic environments. The precise recognition of basketball players' actions using artificial intelligence technology can provide valuable assistance and guidance to athletes, coaches, and analysts, and can help referees make fairer decisions during games. However, unlike action recognition in simpler scenarios, the background in basketball is similar and complex, the differences between various actions are subtle, and lighting conditions are inconsistent, making action recognition in basketball a challenging task. To address this problem, an Adaptive Context-Aware Network (ACA-Net) for basketball player action recognition is proposed in this paper. It contains a Long Short-term Adaptive (LSTA) module and a Triplet Spatial-Channel Interaction (TSCI) module to extract effective features at the temporal, spatial, and channel levels. The LSTA module adaptively learns global and local temporal features of the video. The TSCI module enhances the feature representation by learning the interaction features between space and channels. We conducted extensive experiments on the popular basketball action recognition datasets SpaceJam and Basketball-51. The results show that ACA-Net outperforms the current mainstream methods, achieving 89.26% and 92.05% in terms of classification accuracy on the two datasets, respectively. ACA-Net's adaptable architecture also holds potential for real-world applications in autonomous robotics, where accurate recognition of complex human actions in unstructured environments is crucial for tasks such as automated game analysis, player performance evaluation, and enhanced interactive broadcasting experiences.

Expanding the Scope of Diverse Contexts in Affective Science.

The Future of Affective Science special issue covered a broad range of topics, ranging from the valuation and experience of emotions to their expression and regulation. Despite the breadth of these topics, consideration of diverse contexts was limited in that most studies relied on Western, Educated, Industrialized, Rich, and Democratic (WEIRD) samples and/or failed to explore the rich diversity present in those countries with vast population heterogeneity. We argue that a more systematic approach is essential to advance theory and research on how diverse contexts impact and interact with different components of emotion processes. Specifically, future research should compare a wider range of cultures; examine the interplay between culture, individual, and situation; and transcend the traditional Eastern/Western or WEIRD/non-WEIRD dichotomy and other group comparisons by embracing a dimensional approach to diverse contexts. We provide concrete examples of how leveraging these three approaches to expand the scope of diverse contexts can benefit the future development of affective science, a field heavily impacted by sociocultural context.

The role of frontopolar cortex in adjusting the balance between response execution and action inhibition in anthropoids.

Executive control of behaviour entails keeping a fine balance between response execution and action inhibition. The most anterior part of the prefrontal cortex (frontopolar cortex) is highly developed in anthropoids; however, no previous study has examined its essential (indispensable) role in regulating the interplay between action execution and inhibition. In this cross-species study, we examine the performance of humans and macaque monkeys in the context of a stop-signal task and then assess the consequence of selective and bilateral damage to frontopolar cortex on monkeys' behaviour. Humans and monkeys showed significant within-session practice-related adjustments in both response execution (increase in response time (RT) and decrease in response variabilities) and action inhibition (enhanced inhibition). Furthermore, both species expressed context-dependent (post-error and post-stop) behavioral adjustments. In post-lesion testing, frontopolar-damaged monkeys had a longer RT and lower percentage of timeout trials, compared to their pre-lesion performance. The practice-related changes in mean RT and in RT variability were significantly heightened in frontopolar-damaged monkeys. They also showed attenuated post-error, but exaggerated post-stop, behavioural adjustments. Importantly, frontopolar damage had no significant effects on monkeys' inhibition ability. Our findings indicate that frontopolar cortex plays a critical role in allocation of control to response execution, but not action inhibition.

Adolescent mental well-being in time of crises: The role of social and residential contexts.

BACKGROUND: The extent of the impact and the interconnections among factors within social and residential contexts during the COVID-19 lockdowns on mental well-being remain to be elucidated. We identified latent classes of each of social and residential context during the lockdown and examined their associations with mental well-being among adolescents in France 1-year after the first lockdown. METHODS: We used data collected in 2021 in a cross-sectional school-based pilot study for EXIST, from 387 participants ages 12-15 years. Participants reported retrospectively on characteristics of their social and residential contexts during the lockdown, and their current mental well-being in self-report questionnaires. We used latent class analysis to identify latent classes of social and residential contexts, and linear regression models to examine the associations between these contexts and mental well-being. RESULTS: Four social context classes were identified: class 1 "Low opportunity for social contact at home," class 2 "Moderate opportunity for social contact at home," class 3 "High opportunity for social contact at home," and class 4 "Very high opportunity for social contact at home." Relative to class 4, lower levels of mental well-being were observed among adolescents in class 1 (b = -4.08, 95% CI [-8.06; -0.10]) 1 year after the lockdown. We identified four residential context classes based on proximity to nature, type of residence (e.g., apartment, house), and level of neighborhood deprivation. No association was detected between residential context during the lockdown and adolescent mental well-being one-year later. CONCLUSION: A limited social context may negatively impact adolescent mental well-being during crises.

Improving multiple stressor-response models through the inclusion of nonlinearity and interactions among stressor gradients.

Stressor-response models are used to detect and predict changes within ecosystems in response to anthropogenic and naturally occurring stressors. While nonlinear stressor-response relationships and interactions between stressors are common in nature, predictive models often do not account for them due to perceived difficulties in the interpretation of results. We used Irish river monitoring data from 177 river sites to investigate if multiple stressor-response models can be improved by accounting for nonlinearity, interactions in stressor-response relationships and environmental context dependencies. Out of the six models of distinct biological responses, five models benefited from the inclusion of nonlinearity while all six benefited from the inclusion of interactions. The addition of nonlinearity means that we can better see the exponential increase in Trophic Diatom Index (TDI3) as phosphorus increases, inferring ecological conditions deteriorating at a faster rate with increasing phosphorus. Furthermore, our results show that the relationship between stressor and response has the potential to be dependent on other variables, as seen in the interaction of elevation with both siltation and nutrients in relation to Ephemeroptera, Plecoptera and Trichoptera (EPT) richness. Both relationships weakened at higher elevations, perhaps demonstrating that there is a decreased capacity for resilience to stressors at lower elevations due to greater cumulative effects. Understanding interactions such as this is vital to managing ecosystems. Our findings provide empirical support for the need to further develop and employ more complex modelling techniques in environmental assessment and management.