Behavioral Model Research Articles

Factors associated with the use of annual health checkups in Thailand: evidence from a national cross-sectional health and welfare survey.

Thailand has provided free annual health checkups (AHC) since universal health coverage began in 2002. However, evidence regarding the equitable use of AHC is scarce. Thus, this study explored factors associated with the use of AHC in Thailand. A cross-sectional study was conducted using data from the national 2015 Health and Welfare Survey. Respondents aged 15 years or above (n = 57,343) were selected as the study sample. Descriptive statistical analysis and multivariable binary logistic regression were conducted to examine the association between the use of AHC and factors selected on the basis on Andersen's Behavioral Model of Access to Medical Care. Among the study sample, approximately 4.9% (n = 2,815) had used AHC during the past year. Regarding predisposing factors, the use of AHC was positively related to age (e.g., over 61 vs. 15-30: AOR = 2.90 [95% CI = 2.40-3.52], p < 0.001) and female sex (AOR = 1.23 [95% CI = 1.12-1.35] p < 0.001). For enabling factors, the AHC use was positively associated with income (e.g., Q4 vs. Q1: AOR = 1.98 [95% CI = 1.75-2.25], p < 0.001), education (e.g., high vs. low: AOR = 3.11 [95% CI = 2.75-3.51], p < 0.001), being married (e.g., vs. single: AOR = 1.27 [95% CI = 1.11-1.46], p < 0.001), and urban residency (AOR = 1.12 [95% CI = 1.04-1.22], p = 0.006). For need-for-care factors, the AHC use was positively related to chronic disease (AOR = 1.26 [95% CI = 1.15-1.38], p < 0.001), non-smoking (e.g., vs. daily: AOR = 1.18 [95% CI = 1.03-1.36], p = 0.015), non-drinking (e.g., vs. 3-4 times per week: AOR = 1.26 [95% CI = 1.04-1.53], p = 0.016), and vegetable consumption (e.g., over 5 ladles vs. below 1 ladle: AOR = 1.86 [95% CI = 1.50-2.31], p < 0.001). The results indicate that health awareness could play a significant role in the use of AHC. Individuals with high socioeconomic status (e.g., high-income people) and those with low-risk health behaviors (e.g., non-smokers) generally have a high interest in health and well-being. This may have been the primary reason for the high use of AHC among these groups. Thus, the government should continue to promote the public's health awareness through various public campaigns and education programs to increase the use of AHC.

ST-2560, a selective inhibitor of the NaV1.7 sodium channel, affects nocifensive and cardiovascular reflexes in non-human primates.

The voltage-gated sodium channel isoform NaV1.7 is a high-interest target for the development of non-opioid analgesics due to its preferential expression in pain-sensing neurons. NaV1.7 is also expressed in autonomic neurons, yet its contribution to involuntary visceral reflexes has received limited attention. The small molecule inhibitor ST-2560 was advanced into pain behaviour and cardiovascular models to understand the pharmacodynamic effects of selective inhibition of NaV1.7. Potency of ST-2560 at NaV1.7 and off-target ion channels was evaluated by whole-cell patch-clamp electrophysiology. Effects on nocifensive reflexes were assessed in non-human primate (NHP) behavioural models, employing the chemical capsaicin and mechanical stimuli. Cardiovascular parameters were monitored continuously in freely-moving, telemetered NHPs following administration of vehicle and ST-2560. ST-2560 is a potent inhibitor (IC50 = 39 nM) of NaV1.7 in primates with ≥1000-fold selectivity over other isoforms of the human NaV1.x family. Following systemic administration, ST-2560 (0.1-0.3 mg·kg-1, s.c.) suppressed noxious mechanical- and chemical-evoked reflexes at free plasma concentrations threefold to fivefold above NaV1.7 IC50. ST-2560 (0.1-1.0 mg·kg-1, s.c.) also produced changes in haemodynamic parameters, most notably a 10- to 20-mmHg reduction in systolic and diastolic arterial blood pressure, at similar exposures. Acute pharmacological inhibition of NaV1.7 is antinociceptive, but also has the potential to impact the cardiovascular system. Further work is merited to understand the role of NaV1.7 in autonomic ganglia involved in the control of heart rate and blood pressure, and the effect of selective NaV1.7 inhibition on cardiovascular function.

Executive gender and firm leverage decisions: The role of firm ownership and governance

Female leadership in strategic decision-making has received considerable attention in the context of global gender inequality. To advance our understanding of the role of executive gender in corporate financing decisions, we examine whether family firms are less likely to use leverage than their non-family counterparts when they have a female leader (considering CEO and board chair as leadership positions). In addition, we examine whether board independence influences gender differences in the use of leverage in family firms. Drawing on the behavioral agency model (BAM) and socioemotional wealth (SEW) theory, we develop and empirically test our hypotheses using a large dataset of firms from 40 countries. Our results show that family ownership increases the reluctance of female-led firms to use leverage, but board independence mitigates this effect.

Heterogeneous choice of personalized Mobility-as-a-Service bundles and its impact on sustainable transportation

The Mobility-as-a-service (MaaS) framework has the potential to induce changes in individual travel behavior towards more sustainable transportation alternatives by integrating multimodal travel services. However, insights into the behavioral responses of specific groups of people to MaaS, thus promoting green travel, are currently lacking. This paper intends to investigate the intergroup heterogeneous preferences on the choice of MaaS bundles and evaluate their contributions to eco-friendly travel. A stated choice experiment is designed, incorporating personalized MaaS service bundles complemented by different green travel-oriented ticketing strategies. The experiment caters to different groups of users related to public transport, cars, and other modes of transport. The results indicate a substantial improvement in the goodness-of-fit of the behavioral model after user classification, revealing significant heterogeneity in preferences among users regarding MaaS bundle choices. Notably, the impact of sub-tickets on nudging toward green transportation is more pronounced than that of monthly and discount tickets.

Presenting the AI models in predicting the settlement of earth dams using the results of spatiotemporal clustering and k-means algorithm

In this work, the results of instrumentation over 8 years, including the phases of construction, first impounding, and operation, have been used to analyze the location of the Eyvashan Dam settlement. Mohr–Coulomb behavioral model and numerical model of Plaxis 2D software were used to verify the monitoring results. The results demonstrated that settlement of the dam has increased in the dam's core since the beginning of construction, and they eventually stabilized during the operation phase. After the completion of the construction phase, the maximum settlement of the dam core was recorded as 809 mm, which is equivalent to 1.2% of the height of the dam at the middle level. Also, an approach to interpreting the settlement behavior of earth dams has been presented that is based on spatiotemporal clustering. Also, RF, MARS, and GMDH models were created based on a proposed scenario to predict settlement using points located in a cluster. Therefore, the settlement location of the studied dam was determined using the results of the k-means clustering algorithm in the aforementioned AI models. The high accuracy of the results of the proposed method confirms the proper performance of using AI models in predicting and diagnosing the settlement of earthen dams using the results of k-means spatiotemporal clustering algorithm. The evaluation of the models shows that the ENN model is a more suitable and efficient tool in this field and can be useful in monitoring the settlement of earth dams.

Study of defensive behavior of a venomous snake as a new approach to understand snakebite

Snakebites affect millions of people worldwide. The majority of research and management about snakebites focus on venom and antivenom, with less attention given to snake ecology. The fundamental factor in snakebites is the snakes’ defensive biting behavior. Herein we examine the effects of environmental variables (temperature, time of day, and human stimulus) and biological variables (sex and body size) on the biting behavior of a medically significant pit viper species in Brazil, Bothrops jararaca (Viperidae), and associate it with the epidemiology of snakebites. Through experimental simulations of encounters between humans and snakes, we obtained behavioral models applicable to epidemiological situations in the State of São Paulo, Brazil. We found a significant overlap between behavioral, morphological, environmental, and epidemiological data. Variables that increase snakebites in epidemiological data also enhance the tendency of snakes to bite defensively, resulting in snakebites. We propose that snakebite incidents are influenced by environmental and morphological factors, affecting the behavior of snakes and the proportion of incidents. Thus, investigating behavior of snakes related to snakebite incidents is a valuable tool for a better understanding of the epidemiology of these events, helping the prediction and, thus, prevention of snakebites.

Determinants of the optimal selection of vascular access devices: A systematic review underpinned by the COM-B behavioural model.

Optimal selection of vascular access devices is based on multiple factors and is the first strategy to reduce vascular access device-related complications. This process is dependent on behavioural and human factors. The COM-B (Capability, Opportunity, Motivation, Behaviour) model was used as a theoretical framework to organize the findings of this systematic review. To synthesize the evidence on determinants shaping the optimal selection of vascular access devices, using the COM-B behavioural model as the theoretical framework. Systematic review of studies which explore decision-making at the time of selecting vascular access devices. The Medline, Web of Science, Scopus and EbscoHost databases were interrogated to extract manuscripts published up to 31 December 2021, in English or Spanish. Among 16 studies included in the review, 8/16 (50%) focused on physical capability, 8/16 (50%) psychological capability, 15/16 (94%) physical opportunity, 12/16 (75%) social opportunity, 1/16 (6%) reflective motivation and 0/16 (0%) automatic motivation. This distribution represents a large gap in terms of interpersonal and motivational influences and cultural and social environments. Specialist teams (teams created for the insertion or maintenance of vascular access devices) are core for the optimal selection of vascular access devices (75% physical capability, 62% psychological capability, 80% physical opportunity and 100% social opportunity). Specialist teams predominantly lead all actions undertaken towards the optimal selection of vascular access devices. These actions primarily centre on assessing opportunity and capability, often overlooking motivational influences and social environments. A more implementation-focused professional approach could decrease inequity among patients and complications associated with vascular access devices. Optimal selection of vascular access devices is the primary strategy in mitigating complications associated with these devices. There is a significant disparity between interpersonal and motivational influences and the cultural and social environments. Furthermore, specialized teams play a pivotal role in facilitating the optimal selection of vascular access devices. The study can benefit institutions concerned about vascular access devices and their complications. This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. No Patient or Public Contribution. WHAT DOES THIS ARTICLE CONTRIBUTE TO THE WIDER GLOBAL CLINICAL COMMUNITY?: Optimal selection of vascular devices remains a growing yet unresolved issue with costly clinical and patient experience impact. Interventions to improve the optimal selection of vascular devices have focused on training, education, algorithms and implementation of specialist vascular teams; alas, these approaches do not seem to have substantially addressed the problem. Specialist vascular teams should evolve and pivot towards leading the implementation of quality improvement interventions, optimizing resource use and enhancing their role.

A positive affect intervention alters leukocyte DNA methylation in sexual minority men with HIV who use methamphetamine

ObjectiveThis epigenomics sub-study embedded within a randomized controlled trial examined whether an evidenced-based behavioral intervention model that decreased stimulant use altered leukocyte DNA methylation (DNAm). MethodsSexual minority men with HIV who use methamphetamine were randomized to a five-session positive affect intervention (n = 32) or an attention-control condition (n = 21), both delivered during three months of contingency management for stimulant abstinence. All participants exhibited sustained HIV virologic control – an HIV viral load less than 40 copies/mL at baseline and six months post-randomization. The Illumina EPIC BeadChip measured leukocyte methylation of cytosine-phosphate-guanosine (CpG) sites mapping onto five a priori candidate genes of interest (i.e., ADRB2, BDNF, FKBP5, NR3C1, OXTR). Functional DNAm pathways and soluble markers of immune dysfunction were secondary outcomes. ResultsCompared to the attention-control condition, the positive affect intervention significantly decreased methylation of CpG sites on genes that regulate β2 adrenergic and oxytocin receptors. There was an inconsistent pattern for the direction of the intervention effects on methylation of CpG sites on genes for glucocorticoid receptors and brain-derived neurotrophic factor. Pathway analyses adjusting for the false discovery rate (padj < 0.05) revealed significant intervention-related alterations in DNAm of Reactome pathways corresponding to neural function as well as dopamine, glutamate, and serotonin release. Positive affect intervention effects on DNAm were accompanied by significant reductions in the self-reported frequency of stimulant use. ConclusionsThere is an epigenetic signature of an evidence-based behavioral intervention model that reduced stimulant use, which will guide the identification of biomarkers for treatment responses.

A Novel Animal Behavioral Model For Assessing Arousal and Anxiety States: Implications for Post-Traumatic Stress Disorder

Background: Post-traumatic stress disorder (PTSD) is a highly prevalent disorder with widespread impact on health co-morbidities, including cardiovascular disease (CVD). There is a pressing need to understand its underlying mechanisms. This study builds upon our previous published clinical and pre-clinical findings assessing cardiovascular and autonomic responses to stress. Using a recently developed behavioral model and lab-developed software for integrated behavioral and cardio-autonomic analysis, we sought to assess the impact of chronic unpredictable threat reminders on arousal and anxiety behavior as well as cardiovascular and autonomic function in pair-housed mice. Methods: Male and female C57bl/6J mice underwent Pavlovian auditory fear conditioning (n=10-16/group) and were returned to the home cage, equipped with speaker and top-down camera with infrared capabilities. Using a customized software to remotely deliver the conditioned stimulus (CS), pair-housed mice received 6 tones (30sec. 6kHz) throughout the light-dark (LD) cycle over a 24hr period (3 light, 3 dark), repeated for 14 days. The first CS during each LD cycle was recorded and freezing behavior was manually scored. Videos were used to train DeepLabCutTM (DLC) for automated behavioral analysis. On day 15, to evaluate whether evoked freezing is context-dependent, mice were placed into a novel context and CS-dependent freezing was measured. Mice then underwent elevated plus maze (EPM), uncued startle reactivity testing, and fear-potentiated startle (FPS) to assess locomotor, anxiety, and hyperarousal and heightened vigilant behaviors. Results: Following 14 days of chronic unpredictable conditioned threat reminders, fear-conditioned male and female mice exhibited strong CS-evoked freezing in the home cage. Circadian evaluation revealed enhanced freezing in the light versus the dark phase ( males, p&lt;0.01; females, p&lt;0.01). DLC analysis successfully and accurately quantified freezing of group-housed mice. Over 14 days, CS-dependent freezing declined, though this was context-dependent as freezing was significantly higher in a novel context on day 15 ( males, p&lt;0.01; females, p=0.02). While chronic threat reminders did not affect behavior in the EPM, males, but not females, displayed hyperarousal in both uncued (startle to 120dB, males, p&lt;0.01, females, p=0.62) and cued (FPS, males, p=0.04, females, p=0.60) startle testing, though neither males nor females had increased background anxiety during FPS ( males, p=0.77, females, p=0.77). Conclusions: Here we demonstrate, using lab-developed software, environment- and circadian-dependent conditioned freezing in the home cage of group-housed mice. These results further demonstrate that the delivery of chronic intermittent unpredictable conditioned threat reminders leads to an enhanced startle phenotype, that may be sex-dependent. Future studies are needed to assess direct measures of autonomic function in this model, which could provide novel insights into and potentially revealing new therapeutic and preventive strategies for mitigating PTSD-related autonomic dysfunction. (CDMRP) PR210574. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Value-based decision-making in regular alcohol consumers following experimental manipulation of alcohol value

BackgroundDevaluation of alcohol leads to reductions in alcohol choice and consumption; however, the cognitive mechanisms that underpin this relationship are not well-understood. In this study we applied a computational model of value-based decision-making (VBDM) to decisions made about alcohol and alcohol-unrelated cues following experimental manipulation of alcohol value. Method: Using a pre-registered within-subject design, thirty-six regular alcohol consumers (≥14 UK units per week) completed a two-alternative forced choice task where they chose between two alcohol images (in one block) or two soft drink images (in a different block) after watching videos that emphasised the positive (alcohol value), and separately, the negative (alcohol devalue) consequences of alcohol. On each block, participants pressed a key to select the image depicting the drink they would rather consume. A drift–diffusion model (DDM) was fitted to reaction time and choice data to estimate evidence accumulation (EA) processes and response thresholds during the different blocks in each experimental condition. Findings: In the alcohol devalue condition, soft drink EA rates were significantly higher compared to alcohol EA rates (p = 0.04, d = 0.31), and compared to soft drink EA rates in the alcohol value condition (p = 0.01, d = 0.38). However, EA rates for alcoholic drinks and response thresholds (for either drink type) were unaffected by the experimental manipulation. Conclusions: In line with behavioural economic models of addiction that emphasise the important role of alternative reinforcement, experimentally manipulating alcohol value is associated with changes in the internal cognitive processes that precede soft drink choice.

Political embeddedness, socioemotional wealth, and R&D investment in family firms: Evidence from China as a transition economy

The behavioral agency model predicts that family firms underinvest in R&D to preserve socioemotional wealth. In transition economies, family firms suffer from institution voids, so political embeddedness helps them do business. In a mixed gamble analysis of publicly listed firms in China, we find that politically embedded family firms are more likely to invest in R&D than those that are not politically embedded. However, this effect is weaker when the firms are in more-competitive industries or regions with higher speed of pro-market reforms. Hence, in regions with higher pro-market reforms speed or in more-competitive industries of China, family firms should be aware that potential financial and SEW gains derived from R&D investment are less dependent on the government and that political embeddedness does not always confer advantages. Family firms need to be strategic in response to institutional changes when implementing nonmarket strategies.

Effect of chronic administration of ostruthin on depression-like behavior in chronically stressed mice

We have previously shown that a single dose of a TREK-1 channel activator, ostruthin, exhibited antidepressant and anxiolytic effects in acute behavioral test models in mice. To assess the potential clinical application, it is essential to evaluate the effects of long-term administration of ostruthin in a chronically stressed mouse model, which is considered to be similar to the clinical condition of major depression in humans. Here, we tested the effects of a single and a 7-day administration of ostruthin on mice that were subjected to chronic unpredictable mild stress (CUMS). A single administration of ostruthin showed antidepressive effects in the tail suspension and forced swim tests of CUMS-treated mice. Unexpectedly, the 7-day administration exhibited only insignificant antidepressive and anxiolytic effects. The 7-day regimen did not affect food intake or body-weight gain, suggesting the absence of apparent cytotoxicity. The mice receiving the 7-day administration had significantly lower blood concentrations of ostruthin compared to those receiving a single dose, suggesting an upregulation of drug-metabolizing activities. These findings suggest that there is a need for stable TREK-1 channel activators that are not affected by drug metabolism.

Psychological factors influencing consumer intentions to consume cultured meat, fish and dairy

This study investigates the structure of factors that influence consumer intentions to both try and to consume cultured proteins, and their intentions to substitute vegan, vegetarian and omnivore diets with these alternative protein sources. Comprehensive survey data (N = 3862) was collected from three Nordic countries (Denmark, Finland, and Norway) and analysed using confirmatory factor analysis and structural equation modelling. Theoretically, this article draws from behavioural models of environmental psychology, identity theory, and attitude theory. Results indicate that beliefs about the necessity of an industry producing cultured proteins and impacts of cultured proteins on the global economy are significant predictors of consumer intentions. Moreover, participants who exhibited high levels of general and food innovativeness were more likely to express positive intentions to consume cultured proteins. Social norms influenced consumer intentions: Individuals surrounded by positive attitudes and intentions toward cultured proteins within their social networks were more inclined to want to consume these products. The predictor variables in the final model accounted for between 39% and 66% of the variance in the different cultured proteins related intentions. Understanding consumer intentions better can inform targeted communication strategies aimed at promoting the advantages of cultured proteins and facilitating its adoption.

Bidirectional relationship between intraindividual changes in behavioral activation and intraindividual changes in postpartum depressive symptoms: A random intercept cross-lagged panel model.

According to Lewisohn's model of depression, decreases in behavioral activation (BA) occurring after facing a vital stressor may increase the risk of depression. Transition to parenthood is a potentially stressful life event that increases the risks of postpartum depression. We aimed to (a) describe the changes in BA and depressive symptomatology between the prepartum period, 1 month, 3 months, and 6 months postpartum and (b) evaluate the bidirectionality of the relationship between intraindividual changes in BA and intraindividual changes in depressive symptoms longitudinally. Chilean pregnant women (N = 503) completed a battery of questionnaires when they were between 32 and 37 weeks of gestation and 1, 3, and 6 months after delivery. A repeated measures analysis of variance showed that BA significantly decreased from prepartum to 1 month postpartum. A random intercept cross-lagged panel model supported the bidirectional inverse relationship between intraindividual changes in BA and intraindividual changes in depressive symptoms. The effect sizes of these associations were large (βs ranging from -.141 to -.243) according to Orth et al. (2022)'s recommendations for cross-lagged effect benchmarks. This relationship showed robustness when multigroup random intercept cross-lagged panel models were conducted to adjust for several covariates (i.e., marital status, the type of health insurance, type of delivery, primiparous vs. multiparous participants, and pregnancy or delivery complication or newborn health problem). Nonetheless, reporting a previous history of major depression moderated this relationship so that intraindividual decreases in BA more likely led to intraindividual increases in depressive symptoms in people with a history of depression than in people without such a history. We discuss implications for behavioral models of depression. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Belief formation under signal correlation

This paper demonstrates the importance of considering incorrect perceptions of variance in characterizing people's belief formation rules when they suffer from correlation neglect. Using laboratory experiments, we elicit posterior beliefs regarding the realization of a random variable where some signals that a subject receives are correlated. Subjects in our experiments consistently neglect correlation and also misperceive signal variance when updating their beliefs. We present behavioral models that illustrate how people who suffer from both biases overvalue strongly correlated signals and undervalue weakly correlated signals relative to Bayesian predictions. Additional experiments provide strong support for such a nuanced impact of correlation neglect on belief updating rules. The estimated model parameters are consistent with subjects showing high levels of correlation neglect and undersensitivity to increases in the true variance. Moreover, we find significant heterogeneity across subjects, with a majority exhibiting correlation neglect combined with variance misperception.

A comprehensive exploration of approximate DNN models with a novel floating-point simulation framework

This paper introduces TorchAxf11https://github.com/knuscent/TorchAxf., a framework for fast simulation of diverse approximate deep neural network (DNN) models, including spiking neural networks (SNNs). The proposed framework utilizes various approximate adders and multipliers, supports industrial standard reduced precision floating-point formats, such as bfloat16, and accommodates user-customized precision representations. Leveraging GPU acceleration on the PyTorch framework, TorchAxf accelerates approximate DNN training and inference. In addition, it allows seamless integration of arbitrary approximate arithmetic algorithms with C/C++ behavioral models to emulate approximate DNN hardware accelerators.We utilize the proposed TorchAxf framework to assess twelve popular DNN models under approximate multiply-and-accumulate (MAC) operations. Through comprehensive experiments, we determine the suitable degree of floating-point arithmetic approximation for these DNN models without significant accuracy loss and offer the optimal reduced precision formats for each DNN model. Additionally, we demonstrate that approximate-aware re-training can rectify errors and enhance pre-trained DNN models under reduced precision formats. Furthermore, TorchAxf, operating on GPU, remarkably reduces simulation time for complex DNN models using approximate arithmetic by up to 131.38× compared to the baseline optimized CPU implementation. Finally, we compare the proposed framework with state-of-the-art frameworks to highlight its superiority.

Impact of Perceived Parenting Styles on Happiness and Aggression among Youth

Abstract: This study explores the complex relationship between perceived parenting styles, aggressiveness, and happiness, with a particular emphasis on how these relationships affect young adults' emotional and psychological health. The home environment, which is frequently regarded as a testing ground for emotional growth, is investigated as a major factor in determining how young people view parents. Happy people experience emotional stability,positive behavioural modelling, and open communication—all of which are essential for a child's healthy development. Happiness is a key motivator for these significant outcomes. On the other hand, family violence has long-term consequences that affect not just the victim's immediate emotional reaction, but also their behaviour patterns and interpersonal relationships. This study sheds light on the complex relationships between these emotionaldynamics, as well as their long-term impact on young people' psychological development. The study's findings pave the way for targeted treatments, support networks, and legislativerecommendations aimed at promoting emotionally supportive family environments

Model of negative affect induced by withdrawal from acute and chronic morphine administration in male mice

Opioid use disorder (OUD) is a chronic relapsing disorder that is a major burden for the lives of affected individuals, and society as a whole. Opioid withdrawal is characterized by strong physical symptoms, along with signs of negative affect. Negative affect due to opioid withdrawal is a major obstacle to recovery and relapse prevention. The mechanisms behind negative affect due to either spontaneous or antagonist-precipitated opioid withdrawal are not well known, and more animal models need be developed. Here, we present behavioral models of negative affect upon naloxone-precipitated morphine withdrawal in adult male mice. Social, anxiety, and despair-like deficits were investigated following naloxone administration in mice receiving morphine under three dosing regimens; acute, chronic constant dose and chronic escalating doses. Social behaviour in the three-chamber social preference test was decreased following withdrawal from chronic and escalating but not acute morphine. Anxiety-like behaviour in the open field was increased for all three treatments. Despair-like behaviour was increased following withdrawal from chronic and escalating but not acute morphine. Altogether, these animal models will contribute to study behavioural and neuronal circuitries involved in the several negative affective signs characterizing OUD.

Tiebout, Coase and urban scaling

AbstractA growing body of urban research takes a natural science perspective on systems of cities as self-organising human clusters. From a systems perspective, this work, particularly the growing number of city scaling studies, introduces a determinism to studies of city size, efficiency and performance that may not sit well with regional science and urban economic planning models. It finds that agglomeration economies seem to follow regular scale-free power laws that reflect competitive dynamics within an entire interacting human system of cities and that a city’s performance is therefore statistically bounded by the whole system. Where does this leave empirical models of individual city performance and behavioural models of urban political economy that underpin them? The paper links two seminal economic models of the 20th century that were motivated to demonstrate the possibility of preference revelation for the ‘unpriceables’ that give cities their value. Tiebout’s and Coase’s models of social order both concern natural clustering principles, governed by voting with feet, voice and price. Voting with feet is a much more animalistic social ordering mechanism than voting with voice and the paper introduces the idea of scale-free Tieboutian models—natural science models of revealed preference for local public expenditure.

Alzheimer's Disease and Related Dementias Diagnosis in the United States Among US-Born and Foreign-Born White, Black, Hispanic, and Asian Older Adults.

Timely clinical diagnosis of Alzheimer's disease and related dementias (ADRD) is important for resource allocation, mitigating safety concerns, and improving quality of life. While studies have examined ADRD diagnosis disparities by race/ethnicity, few include its intersection with nativity. Our aims were to (1) estimate the odds of diagnosed ADRD among US- and foreign-born racial/ethnic groups compared to US-born White older adults and (2) make comparisons by nativity within each racial/ethnic group. We linked 2000-2017 National Health Interview Survey (NHIS) and 2001-2018 Medical Expenditure Panel Survey (MEPS) data (65 + years; n = 38,033). Race/ethnicity and nativity were measured using NHIS data. Diagnosed ADRD was determined using ICD-9 (290/294/331/797) or ICD-10 (F01/F03/G30/G31) billing codes created from self-reports during MEPS household interviews. Bivariate and multivariable analyses were adjusted for covariates based on Anderson's behavioral model of health services use. US-born Black (OR = 1.74; 95% CI = 1.48-2.05), Hispanic (OR = 1.62; 95% CI = 1.14-2.29), and foreign-born Hispanic (OR = 1.63; 95% CI = 1.24-2.15) older adults, but not foreign-born Black or Asian older adults, had higher odds of diagnosed ADRD compared to US-born White older adults after adjusting for age and sex. After additional adjustment for education, health insurance, usual source of care, and chronic conditions, only US-born Black older adults continued to show higher odds (OR = 1.54; 95% CI = 1.27-1.87) of diagnosed ADRD compared to US-born White older adults. There were no differences in ADRD diagnosis by nativity within each racial/ethnic group. Findings highlight the need for including nativity in studies comparing racial/ethnic groups to Whites to fully capture the ADRD burden among US-born Black older adults.