Decoupling of bird migration from the changing phenology of spring green-up.

The green-up of vegetation in spring brings a pulse of food resources that many animals track during migration. However, green-up phenology is changing with climate change, posing an immense challenge for species that time their migrations to coincide with these resource pulses. We evaluated changes in green-up phenology from 2002 to 2021 in relation to the migrations of 150 Western-Hemisphere bird species using eBird citizen science data. We found that green-up phenology has changed within bird migration routes, and yet the migrations of most species align more closely with long-term averages of green-up than with current conditions. Changing green-up strongly influenced phenological mismatches, especially for longer-distance migrants. These results reveal that bird migration may have limited flexibility to adjust to changing vegetation phenology and emphasize the mounting challenge migratory animals face in following en route resources in a changing climate.

Social Determinants Associated with Substance Use and Treatment Seeking in Females of Reproductive Age in the United States.

Introduction: Females of reproductive age (FoRA; 15-49 years) are the demographic most likely to be diagnosed with a substance use disorder. Preventative treatment prior to or during pregnancy is critical. Stigma and social inequities can delay access to care. There is limited research examining social determinants of health (SDoH) and how they are related to substance use and treatment seeking in this demographic. Methods: We analyzed the 2016-2019 data from the United States National Survey on Drug Use and Health using multivariable logistic regression models. Statistically significant variables were conceptually linked to the Office of Disease Prevention and Health Promotion's (ODPHP's) SDoH framework's five domains. Results: From a total sample of 1,477,336 (weighted) pregnant people and 39,600,523 (weighted) FoRA, substance use was reported by 879,209 (2.14% [95% confidence interval = 2.13-2.15]). Pregnancy status was not associated with substance use or treatment seeking. Past-month substance use was associated with high educational attainment, an annual income <$20,000, a history of criminality, low religiosity, and having health insurance. Past-month treatment-seeking behavior was associated with older age, an annual income >$20,000, a history of criminality, and greater religiosity. Behavioral health support seeking in the past month was associated with some college education. Higher depression severity was associated with all the three models. Conclusions: Using the ODPHP's SDoH framework, we begin to elicit critical connections that can describe substance use and treatment-seeking practices in FoRA. We encourage additional research to inform public health, health care, behavioral health, and other support service programming.

Exploring effectiveness in brain removal techniques: A comparison of approaches.

Brain dissection is typically an important part of teaching neuroscience in health professional programs. This results in the need to effectively remove brains, which is often performed in a gross anatomy laboratory in the same curriculum. The aim of this study was to determine the most effective method of brain removal based on the time required for removal, difficulty of removal, and preservation of key brain structures for educational purposes. Six different dissectors performed each of the three calvaria removal approaches and three different spinal cord transection methods rating them for difficulty and tracking the time required. The combination of calvaria and brainstem approaches and the order of completion was randomized to control for fatigue and previous individual experience. After all brains were removed, each was evaluated by neuroscience faculty for utility in education contexts. The study found little difference between the individual approaches for both calvaria removal and spinal cord transection in regards to quality of outcome. The use of a circumferential cut only proved to be the most time-effective method for calvaria removal while a posterior cut between C1 and C2 was the most time-effective and least difficult method for brainstem release. There was no one technique that proved to be most beneficial across all three measures. However, different approaches resulted in a different combination of benefits across the time, difficulty, and outcome ratings that should be considered in light of the individual needs of any program or researcher.

A machine learning model for the prediction of unhealthy alcohol use among women of childbearing age in Alabama.

INTRODUCTION: This study utilizes a machine learning model to predict unhealthy alcohol use treatment levels among women of childbearing age. METHODS: In this cross-sectional study, women of childbearing age (n = 2397) were screened for alcohol use over a 2-year period as part of the AL-SBIRT (screening, brief intervention, and referral to treatment in Alabama) program in three healthcare settings across Alabama for unhealthy alcohol use severity and depression. A support vector machine learning model was estimated to predict unhealthy alcohol use scores based on depression score and age. RESULTS: The machine learning model was effective in predicting no intervention among patients with lower Patient Health Questionnaire (PHQ)-2 scores of any age, but a brief intervention among younger patients (aged 18-27 years) with PHQ-2 scores >3 and a referral to treatment for unhealthy alcohol use among older patients (between the ages of 25 and 50) with PHQ-2 scores >4. CONCLUSIONS: The machine learning model can be an effective tool in predicting unhealthy alcohol use treatment levels and approaches.

Climate change causes declines and greater extremes in wetland inundation in a region important for wetland birds.

Wetland ecosystems are vital for maintaining global biodiversity, as they provide important stopover sites for many species of migrating wetland-associated birds. However, because weather determines their hydrologic cycles, wetlands are highly vulnerable to effects of climate change. Although changes in temperature and precipitation resulting from climate change are expected to reduce inundation of wetlands, few efforts have been made to quantify how these changes will influence the availability of stopover sites for migratory wetland birds. Additionally, few studies have evaluated how climate change will influence interannual variability or the frequency of extremes in wetland availability. For spring and fall bird migration in seven ecoregions in the south-central Great Plains of North America, we developed predictive models associating abundance of inundated wetlands with a suite of weather and land cover variables. We then used these models to generate predictions of wetland inundation at the end of the century (2069-2099) under future climate change scenarios. Climate models predicted the average number of inundated wetlands will likely decline during both spring and fall migration periods, with declines being greatest in the eastern ecoregions of the southern Great Plains. However, the magnitude of predicted declines varied considerably across climate models and ecoregions, with uncertainty among climate models being greatest in the High Plains ecoregion. Most ecoregions also were predicted to experience more-frequent extremely dry years (i.e., years with extremely low wetland abundances), but the projected change in interannual variability of wetland inundation was relatively small and varied across ecoregions and seasons. Because the south-central Great Plains represents an important link along the migratory routes of many wetland-dependent avian species, future declines in wetland inundation and more frequent periods of only a few wetlands being inundated will result in an uncertain future for migratory birds as they experience reduced availability of wetland stopover habitat across their migration pathways.

Survey of barriers and opportunities for prescribing buprenorphine for opioid use disorder in Alabama.

Opioid-related overdose deaths have significantly increased in the USA and in Alabama. Despite this, medications for opioid use disorder (MOUD) remains significantly underutilized. Thus, this study aims to gain a better understanding of clinicians' viewpoints on potential barriers and opportunities that are likely to impact and improve the access to MOUD, especially buprenorphine prescribing. A cross-sectional survey study was conducted with Alabama's clinicians (n = 492). The survey containing a QR code was mailed to clinicians throughout the state and was asked about their viewpoints and thoughts on prescribing buprenorphine. Multivariable linear regression was used to examine associations between OUD self-efficacy, beliefs about the effectiveness of MOUD, attitudes regarding whether or not MOUD is addictive, and positive affect surrounding the treatment of OUD patients. A minority of respondents (39.8%) reported that they have an active X-waiver for MOUD. Results showed that beliefs that MOUD is addictive were significantly inversely correlated with beliefs about MOUD being effective. Furthermore, both self-efficacy and positive affect were significantly and positively associated with beliefs that MOUD is effective. Furthermore, nurse practitioners were more likely than physicians to have higher scores on the "MAT is Addictive" construct. Self-efficacy with OUD patients was positively associated with the "MOUD is Effective" construct. Finally, results showed that X-waivered providers expressed greater positive affect toward OUD patients than providers who were not X-waivered (b = 2.9, p < 0.001). Belief that MOUD is effective was also positively associated with higher scores on the positive affect construct (b = 0.5, p < 0.001). Several barriers and opportunities were identified in our survey data which could be used to explore MOUD expansion, especially buprenorphine prescribing. Strategic plans in expanding MOUD access may include educational trainings on MOUD, motivating clinicians to utilize their capacity by implementing incentive plans, increasing provider self-efficacy, reducing stigma around MOUD, and providing more financial support to uninsured patients.

Opioid Use Disorder Among the Economically Disadvantaged in the Rural South.

OBJECTIVE: This study aimed to identify county-level hotspots and associated risk factors for opioid use disorder (OUD) in the state of Alabama. METHODS: Using 2015 to 2019 Alabama Medicaid administrative claims data, Medicaid recipients with OUD were identified. We performed local indicators of spatial association analysis to identify hotspots of OUD rates. Using logistic regression, we examined county-level social determinants of health associated with county OUD hotspots. RESULTS: There was a +14.13% percentage change from 2015 to 2019. The county level local indicators of spatial association analysis found that 5 counties in the northwestern part of Alabama remained "hotspots" throughout the entire study period. Results of the logistic regression model showed that location within the Appalachian region was an independent predictor of high OUD rates ( b = 2.58; adjusted odds ratio, 13.27, P = 0.04). CONCLUSIONS: The high rates of OUD may reflect the economic distress and lack of access to resources germane to the Appalachian region in Alabama.

Rapid prototyping for quantifying belief weights of competing hypotheses about emergent diseases.

Emerging diseases can have devastating consequences for wildlife and require a rapid response. A critical first step towards developing appropriate management is identifying the etiology of the disease, which can be difficult to determine, particularly early in emergence. Gathering and synthesizing existing information about potential disease causes, by leveraging expert knowledge or relevant existing studies, provides a principled approach to quickly inform decision-making and management efforts. Additionally, updating the current state of knowledge as more information becomes available over time can reduce scientific uncertainty and lead to substantial improvement in the decision-making process and the application of management actions that incorporate and adapt to newly acquired scientific understanding. Here we present a rapid prototyping method for quantifying belief weights for competing hypotheses about the etiology of disease using a combination of formal expert elicitation and Bayesian hierarchical modeling. We illustrate the application of this approach for investigating the etiology of stony coral tissue loss disease (SCTLD) and discuss the opportunities and challenges of this approach for addressing emergent diseases. Lastly, we detail how our work may apply to other pressing management or conservation problems that require quick responses. We found the rapid prototyping methods to be an efficient and rapid means to narrow down the number of potential hypotheses, synthesize current understanding, and help prioritize future studies and experiments. This approach is rapid by providing a snapshot assessment of the current state of knowledge. It can also be updated periodically (e.g., annually) to assess changes in belief weights over time as scientific understanding increases. Synthesis and applications: The rapid prototyping approaches demonstrated here can be used to combine knowledge from multiple experts and/or studies to help with fast decision-making needed for urgent conservation issues including emerging diseases and other management problems that require rapid responses. These approaches can also be used to adjust belief weights over time as studies and expert knowledge accumulate and can be a helpful tool for adapting management decisions.

"I am busy enough ": Navigating challenges experienced by Medicaid providers serving pregnant people living with substance use disorders in Alabama.

PURPOSE: Perinatal substance use is a clinical and public health concern. The purpose of the study was to understand the perspectives and experiences of perinatal healthcare providers serving pregnant people who receive Medicaid and are living with a substance use disorder. DESIGN AND METHODS: We conducted a secondary data analysis of the responses from perinatal healthcare providers who completed a survey to assess the state of Alabama's capability to effectively identify and treat individuals with substance use disorder. We analyzed short answer responses using consensus coding. FINDINGS: Nine-hundred and ninety-five Medicaid providers completed the survey, 36 of the respondents identified that they were employed in an obstetric practice. Health insurance limitations, a lack of time and resources, and limited treatment options were the primary barriers indicated in the participants' responses. CONCLUSIONS: Structural and health system barriers negatively impact the capacity of perinatal healthcare providers in Alabama to serve pregnant people who receive Medicaid and are living with a substance use disorder. CLINICAL RELEVANCE: Perinatal healthcare providers need educational opportunities, training, and up-to-date resources to provide supportive, comprehensive care programming for perinatal populations with substance use disorders.

Climate Change and Wetlands in the Southern Great Plains: How Are Managers Dealing with an Uncertain Future?

Little guidance is available to assist wetland managers in developing climate adaptation plans. To facilitate development of recommendations for adaptation strategies, it is essential to first determine if or how wetland managers are addressing these challenges. We used an online survey to solicit feedback from wetland managers and biologists in the Southern Great Plains of North America to gain information on perceptions of wetland managers regarding climate change; assess how the effects of climate change are being addressed through management; and identify barriers to implementing climate change adaptation. The majority of wetland managers (63%) agreed they are currently experiencing effects of climate change in wetlands, and most respondents (76%) reported that changes in the timing of water availability throughout the year was the most likely impact. Managers reported using a diversity of approaches in managing for changing precipitation, with management of native and invasive plant species being the two most common practices. Lack of funding and personnel were the most commonly identified factors limiting manager's response to changing precipitation patterns. In addition, >50% of managers indicated uncertainty about the effects of climate change on wetlands as a barrier to management, which may relate to limited access to peer-reviewed science. While most of the management practices reported were short-term measures and may not reflect long-term adaptation for climate change, the fact that many managers are considering climate change in their management suggests that there is considerable opportunities to continue developing capacity for climate change adaptation in the region.

How human anatomy is being taught in entry-level occupational therapy programs in the United States.

There has been a lack of empirical information regarding anatomy education for occupational therapists (OTs). Insufficient anatomy education can result in underprepared entry-level OTs, who may then produce increased practice errors and reduced patient care. The objective of this study was to investigate how human gross anatomy was taught in entry-level occupational therapy programs throughout the United States and evaluate faculty perspectives on its teaching. A mixed-methods survey was sent to the directors of entry-level occupational therapy programs in the United States. Survey responses were compiled to best represent the current occupational therapy education environment. Ten of sixty-eight participating programs did not teach anatomy as a part of their standard occupational therapy curriculum. Of the programs that featured entry-level occupational therapy anatomy courses, the majority were taught by either a non-clinician anatomist or an OT without specialized anatomy training in a region-based, standalone anatomy course during the first semester. In most programs, anatomy was taught to only occupational therapy students using lecture, models/plastination, and/or prosection. Teaching tools, methods, faculty, and programmatic factors were perceived as contributing to program strengths. The design, resources, and faculty involved in the occupational therapy anatomy course may negatively impact the perceived quality of an occupational therapy anatomy program and its students. Participants identified several consequences of insufficient anatomy preparedness, including academic, clinical reasoning, treatment skills, patient care, and professional identity concerns. Occupational therapy educators may want to be aware of the current climate of occupational therapy anatomy education in the United States when designing entry-level occupational therapy anatomy curricula.

Al3+ Modification of Graphene Oxide Membranes: Effect of Al Source.

Graphene oxide (GO) membranes are promising materials for water filtration applications due to abundant nanochannels in the membrane structure. Because GO membranes are unstable in water, metal cations such as Al3+ are often introduced to the membrane structure to promote cross-linking between individual GO sheets. Here, we describe a simple yet versatile method to incorporate Al3+ into GO membranes formed via a slow self-assembly process. Specifically, we directly added aluminum to acidic GO sheet solutions from a variety of sources: Al2O3, AlCl3 and Al foil. Each species reacts differently with water, which can affect the GO solution pH and thus the density of carboxylate groups on the sheet edges available for cross-linking to the Al3+ cations. We demonstrate through characterization of the GO sheet solutions as well as the as-formed membranes' morphologies, hydrophobicities, and structures that the extent to which the Al3+ cross-links to the GO sheet edges vs. the GO sheet basal planes is dependent on the Al source. Our results indicate that greatest enhancements in the membrane stability occur when electrostatic and coordination interactions between Al3+ and the carboxylate groups on the GO sheet edges are more extensive than Al3+-π interactions between basal planes.

Tuning the Packing Density of Gold Nanoparticles in Peptoid Nanosheets Prepared at the Oil-Water Interface.

Two-dimensional (2D) arrays of gold nanoparticles that can freely float in water are promising materials for solution-based plasmonic applications like sensing. To be effective sensors, it is critical to control the interparticle gap distance and thus the plasmonic properties of the 2D arrays. Here, we demonstrate excellent control over the interparticle gap distance in a family of freely floating gold nanoparticle-embedded peptoid nanosheets. Nanosheets are made via monolayer assembly and collapse at the oil-water interface, allowing for fine control over the solution nanoparticle concentration during assembly. We used surface pressure measurements to monitor the assembly of the peptoid, nanoparticle, and combined system at the oil-water interface to determine a workable range of nanosheet assembly conditions suitable for controlling the interparticle gap distances within the nanosheets. These measurements revealed that the extent of nanoparticle adsorption to the peptoid monolayer can be tuned by varying the bulk nanoparticle concentration, but the ability for the monolayer to collapse into nanosheets is compromised at high nanoparticle concentrations. Peptoid nanosheets were synthesized with varying bulk nanoparticle concentrations and analyzed using light microscopy and UV-visible spectroscopy. Based on the spectral shift of the localized surface plasmon resonance peaks for the nanoparticles in the nanosheets relative to those well dispersed in toluene, we estimate that we can access interparticle gap distances within the nanosheet interior between 2.9 ± 0.5 and 9 ± 2 nm. Our results suggest that the minimum interparticle distance achievable by this method is limited by the nanoparticle ligand length, and so has the potential to be further tuned by varying the ligand chemical structure. The ability to quantitatively control and monitor the assembly conditions by this method provide an opportunity to readily tune the optoelectronic properties of this new class of 2D nanomaterial, making it a promising platform for plasmonic-based sensing applications.

Using Al3+ to Tailor Graphene Oxide Nanochannels: Impact on Membrane Stability and Permeability.

Graphene oxide (GO) membranes, which form from the lamination of GO sheets, attract much attention due to their unique nanochannels. There is much interest in controlling the nanochannel structures and improving the aqueous stability of GO membranes so they can be effectively used in separation and filtration applications. This study employed a simple yet effective method of introducing trivalent aluminum cations to a GO sheet solution through the oxidation of aluminum foil, which modifies the nanochannels in the self-assembled GO membrane by increasing the inter-sheet distance while decreasing intra-sheet spacing. The Al3+ modification resulted in an increase in membrane stability in water, methanol, ethanol, and propanol, yet decreased membrane permeability to water and propanol. These changes were attributed to strong interactions between Al3+ and the membrane oxygenated functional groups, which resulted in an increase in membrane hydrophobicity and a decrease in the intra-sheet spacing as supported by surface tension, contact angle, atomic force microscopy, and X-ray photoelectron spectroscopy measurements. Our approach for forming Al3+ modified GO membranes provides a method for improving the aqueous stability and tailoring the permeation selectivity of GO membranes, which have the potential to be implemented in vapor separation and fuel purification applications.

An invasive prey provides long-lasting silver spoon effects for an endangered predator.

The natal environment can have long-term fitness consequences for individuals, particularly via 'silver spoon' or 'environmental matching' effects. Invasive species could alter natal effects on native species by changing species interactions, but this potential remains unknown. Using 17 years of data on 2588 individuals across the entire US breeding range of the endangered snail kite (Rostrhamus sociabilis), a wetland raptor that feeds entirely on Pomacea snails, we tested for silver spoon and environmental matching effects on survival and movement and whether the invasion of a non-native snail may alter outcomes. We found support for silver spoon effects, not environmental matching, on survival that operated through body condition at fledging, explained by hydrology in the natal wetland. When non-native snails were present at the natal site, kites were in better condition, individual condition was less sensitive to hydrology, and kites fledged across a wider range of hydrologic conditions, leading to higher survival that persisted for at least 10 years. Movement between wetlands was driven by the current (adult) environment, and birds born in both invaded and uninvaded wetlands preferred to occupy invaded wetlands post-fledging. These results illustrate that species invasions may profoundly impact the role of natal environments on native species.

Review and synthesis of the global literature on domestic cat impacts on wildlife.

A vast global literature documents that free-roaming domestic cats (Felis catus) have substantial negative effects on wildlife, including through predation, fear, disease and competition-related impacts that have contributed to numerous wildlife extinctions and population declines worldwide. However, no study has synthesized this literature on cat impacts on wildlife to evaluate its overarching biases and major gaps. To direct future research and conservation related to cat impacts on wildlife, we conducted a global literature review that entailed evaluation and synthesis of patterns and gaps in the literature related to the geographic context, methods and types of impacts studied. Our systematic literature search compiled 2245 publications. We extracted information from 332 of these meeting inclusion criteria designed to ensure the relevance of studies analysed. This synthesis of research on cat impacts on wildlife highlights a focus on oceanic islands, Australia, Europe, and North America, and on rural areas, predation, impacts of unowned cats, and impacts at population and species levels. Key research advances needed to better understand and manage cat impacts include more studies in underrepresented, highly biodiverse regions (Africa, Asia, and South America), on cat impacts other than predation, and on methods designed to reduce impacts on wildlife. The identified areas of needed research into cat impacts on wildlife will be critical to further clarifying the role of cats in global wildlife declines and to implementing science-driven policy and management that benefit conservation efforts.

Reverse Lymphatic Mapping and Immediate Microsurgical Lymphatic Reconstruction Reduces Early Risk of Breast Cancer-Related Lymphedema.

BACKGROUND: Breast cancer-related lymphedema is a progressive disease that poses tremendous physical, psychosocial, and financial burden on patients. Immediate lymphaticovenular anastomosis at the time of axillary lymph node dissection is emerging as a potential therapeutic paradigm to decrease the incidence of breast cancer-related lymphedema in high-risk patients. METHODS: Eighty-one consecutive patients underwent reverse lymphatic mapping and, when feasible, supermicrosurgical immediate lymphaticovenular anastomosis at the time of axillary lymph node dissection at a tertiary care cancer center. Patients were followed prospectively in a multidisciplinary lymphedema clinic (plastic surgery, certified lymphatic therapy, dietary, case management) at 3-month intervals with clinical examination, circumferential limb girth measurements, and bioimpedance spectroscopy. An institutional control cohort was assessed for the presence of objectively diagnosed and treated breast cancer-related lymphedema. Data were analyzed by a university statistician. RESULTS: Seventy-eight patients met inclusion, and 66 underwent immediate lymphaticovenular anastomosis. Mean follow-up was 250 days. When compared to a retrospective control group, the rate of lymphedema in patients who underwent immediate lymphaticovenular anastomosis was significantly lower (6 percent versus 44 percent; p < 0.0001). Patients with 6-month follow-up treated with combined adjuvant radiation therapy and chemotherapy had significantly greater risk of developing breast cancer-related lymphedema (p = 0.04) compared to those without combined adjuvant therapy. Arborized anastomotic technique had a statistically shorter operative time than end-to-end anastomosis (p = 0.005). CONCLUSIONS: This series of consecutive patients demonstrate a 6 percent incidence of early-onset breast cancer-related lymphedema with immediate lymphaticovenular anastomosis and an increased risk in those undergoing combined adjuvant treatment. These early data represent an encouraging and substantial decrease of breast cancer-related lymphedema in high-risk patients. CLINICAL QUESTION/LEVEL OF EVIDENCE: Therapeutic, III.

Fire management alters the thermal landscape and provides multi-scale thermal options for a terrestrial turtle facing a changing climate.

As effects of climate change intensify, there is a growing need to understand the thermal properties of landscapes and their influence on wildlife. A key thermal property of landscapes is vegetation structure and composition. Management approaches can alter vegetation and consequently the thermal landscape, potentially resulting in underappreciated consequences for wildlife thermoregulation. Consideration of spatial scale can clarify how management overlaid onto existing vegetation patterns affects thermal properties of landscapes relevant to wildlife. We examined effects of temperature, fire management, and vegetation structure on multi-scale habitat selection of an ectothermic vertebrate (the turtle Terrapene carolina triunguis) in the Great Plains of the central United States by linking time-since-fire data from 18 experimental burn plots to turtle telemetry locations and thermal and vegetation height data. Within three 60-ha experimental landscapes, each containing six 10-ha sub-blocks that are periodically burned, we found that turtles select time-since-fire gradients differently depending on maximum daily ambient temperature. At moderate temperatures, turtles selected sub-blocks with recent (<1 year) time-since-fire, but during relatively hot and cool conditions, they selected sub-blocks with later (2-3 year) time-since-fire that provided thermal buffering compared with recently burned sub-blocks. Within 10-ha sub-blocks, turtles selected locations with taller vegetation during warmer conditions that provided thermal buffering. Thermal performance curves revealed that turtle activity declined as temperatures exceeded ~24-29°C, and on "heat days" (≥29°C) 73% of turtles were inactive compared with 37% on non-heat days, emphasizing that thermal extremes may lead to opportunity costs (i.e., foregone benefits turtles could otherwise accrue if active). Our results indicate that management approaches that promote a mosaic of vegetation heights, like spatiotemporally dynamic fire, can provide thermal refuges at multiple spatial scales and thus be an actionable way to provide wildlife with multiple thermal options in the context of ongoing and future climate change.

Synthesis and characterization of plasmonic peptoid nanosheets.

Solvated two-dimensional (2D) arrays of gold nanoparticles (AuNPs) are versatile plasmonic materials that are not limited by the constraints of a solid support. We report here the assembly of AuNP-embedded peptoid nanosheets via monolayer collapse at the liquid-liquid interface. This synthesis route produces a new class of solvated 2D plasmonic arrays and has the potential to be extended to a variety of different nanoparticle systems.

Cultural Components of Sex Differences in Color Preference.

Preferences for pink and blue were tested in children aged 4-11 years in three small-scale societies: Shipibo villages in the Peruvian Amazon, kastom villages in the highlands of Tanna Island, Vanuatu, and BaYaka foragers in the northern Republic of Congo; and compared to children from an Australian global city (total N = 232). No sex differences were found in preference for pink in any of the three societies not influenced by global culture (ds - 0.31-0.23), in contrast to a female preference for pink in the global city (d = 1.24). Results suggest that the pairing of female and pink is a cultural phenomenon and is not driven by an essential preference for pink in girls.