Individual Behavior Research Articles

Association of Clinical, Biomechanical, and Psychosocial Factors with Smile Dynamics in Unilateral Cleft Lip: A Multicenter Observational Study.

To investigate the association between clinical, biomechanical, and psychosocial factors and smiling behavior in individuals with treated unilateral cleft lip with or without cleft palate (UCL ± P) compared to non-cleft controls. Multicenter observational study in New Zealand. Individuals aged ≥15 (N = 42) comprised 2 study groups: a UCL ± P group (N = 21) and a non-cleft control group (N = 21). Participants viewed an amusing video while their facial expressions were recorded. Smile features were automatically detected via software. A clinical outcome, nasolabial esthetics, was scored using the Asher-McDade system. Perioral biomechanical properties were measured via myotonometry. Smile Esthetics-related Quality of Life (SERQoL), Orofacial Esthetics Scale (OES), and personality (IPIP-NEO-60) questionnaires were completed. Smile features and personality traits did not differ between the groups. Participants with UCL ± P exhibited higher stiffness (+44.2%; Cohen's d = 1.6) and tone (+22.6%; Cohen's d = 1.9) at the cleft scar site, and higher decrement (or lower elasticity, +8.5%; Cohen's d = 0.8) adjacent to the scar. Nasolabial esthetics and elasticity of the scar correlated with the duration of smiles and relative smile time (-0.50 < R < -0.44; p < .05). Participants in the UCL ± P group had lower scores for the OES and higher impacts on SERQoL for social contacts and dental self-confidence. Adolescents and adults with UCL ± P exhibit similar smile behavior as their cleft-free peers-at least in non-social settings. Nasolabial esthetics and perioral biomechanical properties are associated with propensity to smile. UCL ± P is negatively associated with smile-related quality of life and an individual's perception of their facial appearance.

User behavior and energy-saving potential of electric washing machines

With the intensification of the global energy crisis and the increase in environmental awareness, energy-saving problems related to household appliances have garnered widespread attention. Here, the usage patterns of electric washing machine users and their energy-saving potential was mainly explored, so as to improve the current situation that the influencing factors of existing research behaviors were not deep enough and the energy saving potential was not specific enough. A questionnaire survey was used to gather information on 20,840 users, including individual characteristics, energy-saving awareness, and usage behavior. The study analyzed the differences in users’ energy-saving awareness and behavior through a series of analysis methods, and evaluated the energy-saving and water-saving potential of electric washing machines. The results showed that user behavior such as washing mode, washing temperature, and the volume ratio of clothes significantly affected on the energy and water consumption of electric washing machines. Individual characteristics of users such as gender, age, educational background, and family income were strongly correlated with their awareness of and decisions made regarding energy conservation. Improving the energy efficiency of electric washing machines and optimizing user purchasing behavior could result in 38,787.54 GWh national energy savings potential, and 6.90 million tons of water-saving potential. This study will help manufacturers and government departments better understand consumers’ usage behavior regarding electric washing machines, which could allow them to modify their market strategies and bolster the promotion and education of energy efficiency labels for electric washing machines. This also could support the nation’s objectives for environmental preservation, water and energy conservation, and the sale of products with lesser energy efficiency.

Synergistic analysis of oxygen transport resistance in polymer electrolyte membrane fuel cells

The oxygen transport resistance of polymer electrolyte membrane fuel cells operated under various conditions (e.g., temperature and relative humidity) was separated into molecular diffusion, Knudsen diffusion, and ionomer film (IF) resistances using the catalyst agglomerate model, dissection of oxygen transport resistance, and distribution of relaxation time analysis. Simultaneously, an analysis of resistance, including charge transfer, proton transfer, and high-frequency resistances, was performed. The Knudsen diffusion resistance of the catalyst layer was calculated by assessing the effects of relative humidity on porosity and pore size. Oxygen transport resistance was analyzed to establish a correlation between temperature, relative humidity, and IF resistance. Water negligibly impacted performance at low oxygen levels at all examined current densities. The fractional contributions of molecular diffusion, Knudsen diffusion, and IF resistances obtained using oxygen transport analysis could be effectively applied to mass transport resistance in the distribution of relaxation time analysis. The IF resistance in the catalyst layer was up to eight times higher than the Knudsen diffusion resistance and 150 times higher than the proton transfer resistance across all current densities, thus most strongly contributing to the catalyst layer resistance. In the gas diffusion layer, the molecular diffusion resistance was up to four times higher than the Knudsen diffusion resistance. Thus, we examined the relationship between the mass transport resistances of individual elements and IF behavior under different operating conditions, revealing that the design of the IF in the catalyst should be considered alongside the relationship between the gas diffusion layer and membrane for optimal performance.

Understanding walking behaviour during COVID-19: binary logit and ANN approach

The coronavirus disease 2019 (COVID-19) pandemic had severe impacts on society. It negatively affected many sectors, and transportation is one of those. Naturally, the walking trip behaviour of individuals was also altered. This study aims to investigate the changes in walking trips of individuals by using two models: binary logit (BL) and artificial neural network (ANN). An online survey was conducted with 387 individuals. BL model investigated if respondents’ walking trips would increase during and after the pandemic. On the other hand, ANN models were developed to determine the significant factors in changes in walking behaviour. Results indicate that ANN models capture more factors than BL models. Demographics and attitudes toward public transportation, taxi, and walking trips during the pandemic are found to be effective in walking behaviour changes. Policies can be made to increase public transit ridership, and infrastructure for walking can be improved. Future research suggestions are given.

The role of waste pickers in individual waste separation behavior

This study examines the role of waste pickers in individual waste separation behavior. Given the environmental and economic importance of waste separation, this behavior has been extensively studied, but the influence of waste pickers—who perform waste separation as a livelihood, potentially substituting for the voluntary efforts expected from individuals—has been overlooked. Using stratified random sampling in İzmir, Turkey, we collected data from 670 individuals to test our hypotheses via the factor score regression method. The results validated our hypothesis that individuals with positive attitudes toward waste pickers intend to help them by separating and providing recyclable materials. However, we could not validate our hypotheses that positive individual attitudes toward waste pickers decrease individuals’ sense of responsibility for separating waste, which consequently weakens the impacts of commonly studied factors (e.g., personal attitude, subjective norm, and perceived behavioral control effectiveness) on individual waste separation behavior. Our post-analysis revealed that a positive attitude toward waste pickers leads to greater individual responsibility through the intention to help, which then weakens the effects of personal attitude and perceived behavioral control on waste separation intention and behavior. By considering the role of waste pickers, our study advances the understanding of individual waste separation behavior in contexts where informal recycling activities are prevalent. Our findings have important implications for policymakers seeking to optimize waste management systems by leveraging the contributions of waste pickers.

Distinct Patterns of Socioemotional Dysfunction Relate to Aggressive Versus Nonaggressive Rule-breaking Antisocial Behaviors in Behavioral Variant Frontotemporal Dementia.

Antisocial behaviors occur in up to 91% of individuals with behavioral variant frontotemporal dementia (bvFTD). Prior work has shown that antisocial behaviors can be differentiated into aggressive and nonaggressive rule-breaking behavioral subtypes. Socioemotional dysfunction is common in bvFTD and unique compared to other types of dementia. To determine whether socioemotional dysfunction relates to general antisocial behaviors in individuals with bvFTD, or whether different types of socioemotional dysfunction relate to aggressive versus rule-breaking behaviors. Informants for 28 participants with bvFTD and 21 participants with Alzheimer disease (AD) completed the Social Behavior Questionnaire (SBQ) and the Interpersonal Reactivity Index (IRI). The SBQ measures the presence and severity of 26 antisocial behaviors, including subscales for aggressive behaviors (SBQ-AGG) and nonaggressive rule-breaking behaviors (SBQ-RB). The IRI measures cognitive and emotional empathy capabilities, including subscales for Empathic Concern (IRI-EC) and Perspective-taking (IRI-PT). As expected, participants with bvFTD had higher scores on the SBQ in total than participants with AD, as well as on the SBQ-AGG and SBQ-RB separately. Participants with bvFTD had lower scores on the IRI-EC and IRI-PT than participants with AD (P < 0.0001 for all measures). Lower scores on the IRI-PT correlated with higher scores on the SBQ-AGG-but not with higher scores on the SBQ-RB-across the combined group of participants (P = 0.007), and within participants in the bvFTD group (P = 0.01) specifically, after controlling for covariates of age, sex, dementia severity, and IRI-EC scores. Lower scores on the IRI-EC correlated with higher scores on the SBQ-AGG-but not with higher scores on the SBQ-RB-across the combined group of participants (P = 0.02) after controlling for covariates of age, sex, dementia severity, and IRI-PT scores. Our results suggest that socioemotional dysfunction relates to antisocial behaviors in individuals with bvFTD, but that the mechanisms leading to aggressive and rule-breaking behaviors are differentiable, providing meaningful implications for distinct approaches to treatment and prevention.

White matter correlates of impulsive behavior in healthy individuals: A diffusion magnetic resonance imaging study.

To explore white matter (WM) tracts linked to impulsivity using the diffusion magnetic resonance imaging (DMRI) connectometry method. We analyzed 218 healthy participants from the Leipzig Study for Mind-Body-Emotion Interactions database. Impulsivity correlations with DMRI-derived WM changes were assessed using Urgency-Premeditation-Perseverance-Sensation (UPPS) Impulsive Behavior Scale subscales: lack of perseverance (PE), lack of premeditation (PM), sensation seeking (SS), and negative urgency. DMRI data were processed using connectometry, adjusting for sex and age, to examine WM tract integrity via quantitative anisotropy (QA). Also, two additional interaction analyses were conducted to separately examine the interaction effect between WM QA, and sex and age in predicting impulsive behavior scores. The significance level in our statistical analyses was set at a false discovery rate (FDR) below 0.05. QA in the bilateral cerebellum and middle cerebellar peduncle showed a negative association with PE and PM severity (FDR = 0.0004). QA in the middle cerebellar peduncle, corpus callosum body, and forceps major demonstrated a positive association with SS (FDR = 0.0001). Conversely, QA in forceps minor had a positive association with PM (FDR = 0.004), and QA in forceps minor and bilateral cingulum showed a positive association with SS (FDR = 0.0005). Age and sex had no significant effects on the association between WM QA and UPPS subscale scores. Impulsivity is linked to distinct WM integrity changes in various tracts, including the corpus callosum, cerebellum, and cingulum, offering insights into the pathophysiology of impulsivity and guiding future research.

'The Letter Says I May or May Not Be Eligible… It Is a Big Doubt and Frustrating:' A Qualitative Study on Barriers and Facilitators to Children's Oral Healthcare From the Perspective of Karen Refugee Parents in Victoria.

Australia has a longstanding tradition of resettling refugees and individuals in humanitarian need. Among these, the Karen community from Southeast Asia is rapidly growing in Australia. The absence of data on the barriers they face in accessing dental services is concerning. This study explores the barriers and facilitators Karen refugees encounter when seeking oral healthcare for their children in Australia, aiming to understand their experiences. Using a qualitative research design with a phenomenological approach, we conducted semi-structured interviews with 23 parents (17 females and 6 males) who had been in Australia for 1-17 years. Each interview, lasting between 35 and 60 min, was audio-recorded and transcribed verbatim. The transcripts were thematically analysed through an inductive, data-driven approach, focusing on open coding and participant-based meanings. Nine main themes were identified. At the individual level, cultural practices, parental behaviours and perceptions were the primary barriers. At the organisational level, long waiting lists in the public dental system were significant barriers. Additionally, a lack of knowledge about financial benefits and government support for children's dental care deterred refugees from seeking dental services. The results also highlighted the strengths of support networks, free dental care for children and school-based dental care programmes. Parents reported experiences of inadequate oral healthcare, citing issues such as insufficient cultural sensitivity training among dental service providers, interpreter problems and shortages. These experiences revealed gaps in the provision of oral healthcare services. When designing tailored oral health promotion programs, all stakeholders must consider the lived experiences of refugees as valuable sources of information. The authors thank the parents and carers from the Karen refugee community for sharing their experiences with the oral healthcare of their children. Recruitment was facilitated by the Karen Organisation of Bendigo and Bendigo Community Health Services. An interpreter from the Karen refugee community assisted in all the interviews.

Investigation of Individual Pulse Emission Behaviors from Pulsar J1741–0840

We have carried out a detailed study of individual pulse emission from the pulsar J1741−0840 (B1738−08) observed using the Parkes and Effelsberg radio telescopes at the L band. The pulsar exhibits four emission components, which are not well resolved by employing multicomponent Gaussian fitting. The radio emission originates at a height of approximately 1000 km, with the viewing geometry characterized by inclination and impact angles roughly estimated at 81° and 3°, respectively. Fluctuation spectral analysis of single pulse behavior reveals two prominent periodicities, around 32 and five rotation periods. The longer periodic modulation feature is linked to nulling behavior across the entire emission window, with an updated nulling fraction of 23% ± 2% derived from pulse energy distribution via Gaussian mixture modeling. In addition to quasiperiodic nulling, the pulsar also exhibits the presence of subpulse drifting in the trailing component, with the shorter periodic feature in the fluctuation spectra related to the phenomenon of subpulse drifting, and the longitudinal separation estimated to be about 5°. Both periodic modulations show significant temporal evolution with time-dependent fluctuation power. The implications of understanding the radio emission mechanisms are discussed.

Multiparous ewes have greater mating success when competing with nulliparous ones

The hypothesis of this study was that multiparous ewes are more attractive to rams than nulliparous ewes, leading to more intense courtship and mating displays by rams in competitive environments. Thus, this study aimed to compare the sexual interactions of multiparous or nulliparous estrous ewes tested together or individually with sexually active males. Seven sexually experienced Corriedale rams, 21 multiparous, and 21 nulliparous Corriedale ewes were used. Competitive and individual sexual behavior tests were performed for 3 consecutive days immediately after estrous detection. Seven rams were tested with seven different dyads of one multiparous and one nulliparous female daily, totaling 14 ewes per day. The competitive sexual behavioral test evaluated a ram together in a pen with one multiparous ewe and one nulliparous ewe for 10min. In the individual sexual behavioral test, each ram was tested twice for 10min, with the same multiparous and nulliparous females used in the competitive sexual tests. The sexual behaviors of rams were recorded in both tests, and ewes' behaviors were registered in the competitive sexual tests. During the competitive sexual tests, rams approached, mated, and tended to sniff the multiparous ewes before the nulliparous ewes (p=0.03; p=0.01; p=0.056, respectively). In those tests, rams mated the multiparous ewes more efficiently than nulliparous ones (p=0.002), meaning that rams mounted multiparous fewer times to ejaculate. The number of flehmens and their length were greater in nulliparous than in multiparous (0.01 and 0.002, respectively). The nulliparous ewes urinated more times and tended to do it in greater duration and tended to walk more than the multiparous (p=0.01; p=0.06; p=0.08, respectively). During the individual sexual behavioral tests, rams showed no differences in the sexual behaviors displayed toward multiparous and nulliparous females. In conclusion, multiparous ewes were preferred as sexual partners over nulliparous ewes, with rams showing greater efficiency in ejaculating with multiparous ewes. This increased sexual attractiveness was primarily due to the ewes' attractive signals rather than their proceptive behaviors. However, multiparous and nulliparous ewes were courted and mated similarly when rams had no choice, increasing the likelihood of reproduction in both groups. While nulliparous ewes signaled their reproductive status more frequently through urination, this signal did not compensate for the other signals provided by multiparous ewes, which contributed to their higher sexual attractiveness. These findings offer practical insights, emphasizing the importance of separating multiparous and nulliparous ewes to optimize reproductive outcomes in collective breedings.

An agent-based socio-hydrological modeling to identify the feedbacks between agricultural irrigation and ecological water conveyance tradeoffs in Hotan River basin

Study regionHotan River basin in Northwest China Study focusThe conflict between agricultural irrigation and ecological water conveyance is particularly critical in arid inland river basins. Water resource systems involve multiple stakeholders and sectors, complicating the identification of dynamic feedback between agriculture and ecology. This study presents an agent-based socio-hydrological modeling (ABSHM) framework to address these interactions. New hydrological insights for the regionFeedback is quantified using dynamic state variable of oasis decision-making sensitivity in the Hotan River basin. When this sensitivity ranges from 0.03 to 0.06, water managers prioritize agricultural irrigation, increasing its usage from 8 to 47 million m3 at the expense of ecological water. Conversely, when sensitivity is from 0.015 to 0.03, ecological health requires increasing ecological water use from 27 to 66 million m³ by reducing irrigation. The ABSHM framework effectively captures these dynamic feedback processes, supporting basin water resources management and decision-making. The uniqueness of the ABSHM framework lies in its ability to capture the impact of individual decision-making behaviors on the overall water resource system. This offers new perspectives and approaches for addressing current and future water resource management challenges.

Biologging in a free-ranging mammal reveals apparent energetic trade-offs among physiological and behavioural components of the acute-phase response.

The acute-phase response (APR) is an adaptive emergency life-history stage, wherein vertebrates exhibit fever and anorexia to survive an infection. However, induced immune responses are energetically costly, and sick animals may reduce physical activity to compensate. Tests of this predicted energetic trade-off in free-ranging animals are rare due to difficulties in measuring individual physiology and behaviour under immune challenge in natural settings. However, recent advances in biologging technology now make such studies possible. We surgically implanted heart rate/temperature loggers in free-ranging adult male Arctic ground squirrels, fitted the squirrels with collar-mounted accelerometers and light/temperature loggers, and injected animals with lipopolysaccharide (LPS) to simulate an immune challenge. LPS-injected squirrels exhibited approximately 1°C overnight fevers accompanied by slightly elevated (10 bpm) heart rates; LPS-injected squirrels also spent 19% less of their time aboveground the following day and reduced overall movement by 40% compared with saline-injected controls. Thus, we found support for an energetic trade-off between functional immune responses (fever and anorexia) and lethargic sickness behaviour within the APR of a free-ranging mammal. Moreover, our results suggest animal-borne devices can play an important role in future studies of vertebrate immunity and disease dynamics.

Modelling study on pedestrian evacuation dynamics considering exit selection behaviour under flood disaster

Flood spreading in metro stations is a dangerous hazard that frequently causes casualties and property losses. However, pedestrian evacuation under flood spreading scenarios has not been fully investigated. To fill this gap,we propose an extend Floor-Field model incorporating flood spreading and exit selection behaviour of individuals. In the model, the dynamic flood spreading process on metro platforms is expressed by using a simulation software named Mike21. The optimal exit selected by pedestrians in each step is decided on three factors, that is pedestrian density around the exit, pedestrian distance to the exit, and water depth at the exit. Meanwhile, the movement speed of pedestrain also changes with the water depth at each time step. Based on this, the transition probability to neighbor cell including static field, dynamic field, height field, and water flow field is calculated. This results in a flood evacuation model considering the pedestrian's behaviour when choosing an exit. The effects of flooding, pedestrian density, different exit selection behaviours, water flow field, and inlet flow on evacuation were thoroughly analysed. The analysis demonstrates that the likelihood of flooding significantly impacts the evacuation of pedestrians from the subway station; the more flooding is taken into account, the more influential the impact. In addition, the effect of inlet flow on evacuation is also noteworthy; considering exit selection behaviour can significantly increase the effectiveness of evacuation. The study's findings can be used to develop evacuation plans for flooded metro stations.

Investigating the Impact of Health-Protective Behaviors on Morbidity and non-Morbidity COVID-19 among Workers in Oil Refining Industry Using Machine Learning algorithms

Introduction: The prevalence of COVID-19 has significantly impacted work environments and the workforce. Therefore, identifying the most important preventive and control strategies, as well as assessing their effectiveness, is of paramount importance. Various studies have shown that machine learning algorithms can be used to predict complex and nonlinear issues, including predicting the behavior of various diseases such as COVID-19 and the parameters affecting it, and can be beneficial. The purpose of this study has been to examine the importance of preventive measures and hygiene behaviors in preventing COVID-19 in the oil refining industry using various machine learning models. Material and Methods: For this purpose, demographic information and health behaviors of individuals were collected. Subsequently, a multi-layer perceptron (MLP), radial basis function (RBF), and support vector machine (SVM) models were compared to enhance the analysis of the effects of preventive measures on COVID-19 infection. Finally, the most influential factors affecting the likelihood of COVID-19 infection were determined using sensitivity analysis. Results: The results showed that the accuracies achieved in predicting the impact of preventive measures and health behaviors on COVID-19 in occupational settings were 78.1%, 81.2%, and 78.1% by MLP, RBF, and SVM respectively. The RBF model was identified as the most accurate model for predicting the impact of health behaviors on COVID-19 disease Additionally, the level of social distancing with customers, handwashing frequency and disinfection, the availability of cleansing and disinfecting agents for hands and surfaces in the workplace, and gatherings for eating meals and snacks were identified as the most significant health behaviors influencing the prevalence of COVID-19 in the workplace. Conclusion: Studies of this nature can underscore the importance of attention to preventive measures and health behaviors in unprecedented circumstances. Furthermore, the utilization of artificial intelligence models and tools such as DSS (Decision Support Systems) can serve as powerful tools for optimizing control measures in work environments.

“High empathic response but low interest”: Machiavellianism and its neurostructural basis relate to perceived risk of social exclusion and workplace deviance

The manipulative, exploitative, and indifferent behavior of individuals with high scores on the trait of Machiavellianism attracts research interest in their cognitive and affective emphathic skills; however, the findings are contradictory. We explored the neurostructural substrates of Machiavellianism using voxel-based morphometry analysis with a large sample of 202 full-time employees. Consistent with our expectation, the association of Machiavellianism and its neurostructural basis with the perceived risk of social exclusion were supported whereas that with workplace deviance were not fully supported; the results only showed a significant relationship between Machiavellianism and organizational deviance at the trait level. Our results together provide novel insights into Machiavellianism by highlighting the perspective of “High empathic response but low interest”; namely, individuals with high Machiavellianism possess affective empathic capacity, but they do not care about others.

Dilemmas of care: Healthcare seeking behaviours and antibiotic use among women in rural communities in Nam Dinh Province, Vietnam

Antimicrobial resistance is a silent pandemic to cause an estimated ten million deaths by 2050. Self-medication with antibiotics in low- and middle-income countries has been identified as a driver of antibiotic resistance. Interventions targeting solely individual behaviour change around antibiotic practices are often unsuccessful as they fail to address socio-cultural and structural causes of the problem. Understanding the context of antibiotic use in communities will better inform interventions addressing the misuse and overuse of antibiotics. Vietnam faces a growing threat of antimicrobial resistance due to inappropriate use of antibiotics in the healthcare system, farming and food production, and in the community. To understand the roots of this problem, we conducted qualitative research in 2020, with one component focusing on the community. This included fifteen in-depth interviews with women and four months of participant observation in three districts in Nam Dinh Province to explore the healthcare seeking practices and perceptions of medicine and antibiotic use. We argue that even when participants understood antibiotic resistance and were willing to adjust their care practices with antibiotics, there were cultural and structural challenges demotivating changes. The participants faced what we term “dilemmas of care”. For example, while public health messaging promoted appropriate antibiotic practices, the healthcare system did not provide a suitable environment to support appropriate use. Besides, the introduction of biomedicines into the long-standing traditional medical system caused confusions in community health practices, leading to issues such as poor adherence to treatment. At an individual level, participants faced challenges in accessing healthcare knowledge, adhering to social expectations surrounding care, and financial issues. We argue that the misuse of medicines and antibiotics in communities are responses to a deficient healthcare system and unequal access to quality healthcare.

Cognitive Models for Machine Theory of Mind

AbstractSome of the required characteristics for a true machine theory of mind (MToM) include the ability to (1) reproduce the full diversity of human thought and behavior, (2) develop a personalized model of an individual with very limited data, and (3) provide an explanation for behavioral predictions grounded in the cognitive processes of the individual. We propose that a certain class of cognitive models provide an approach that is well suited to meeting those requirements. Being grounded in a mechanistic framework like a cognitive architecture such as ACT‐R naturally fulfills the third requirement by mapping behavior to cognitive mechanisms. Exploiting a modeling paradigm such as instance‐based learning accounts for the first requirement by reflecting variations in individual experience into a diversity of behavior. Mechanisms such as knowledge tracing and model tracing allow a specific run of the cognitive model to be aligned with a given individual behavior trace, fulfilling the second requirement. We illustrate these principles with a cognitive model of decision‐making in a search and rescue task in the Minecraft simulation environment. We demonstrate that cognitive models personalized to individual human players can provide the MToM capability to optimize artificial intelligence agents by diagnosing the underlying causes of observed human behavior, projecting the future effects of potential interventions, and managing the adaptive process of shaping human behavior. Examples of the inputs provided by such analytic cognitive agents include predictions of cognitive load, probability of error, estimates of player self‐efficacy, and trust calibration. Finally, we discuss implications for future research and applications to collective human–machine intelligence.

Addressing the commercial determinants of mental health: an umbrella review of population-level interventions.

There is increasing evidence that commercial determinants impact mental health. Addressing the commercial determinants may therefore be a way of improving population-level mental health. This umbrella review aimed to provide an overview of evidence in this field and identify knowledge gaps. Five databases (MEDLINE, Embase, PsycINFO, Scopus and Cochrane Library) were searched on the 18/19 of July 2022. Eligible papers were systematic reviews published after 31 December 2011. No geographical limits were applied. Eligible interventions were those that targeted the behaviours or products of commercial actors. Ineligible interventions included individual behaviour change interventions, such as those seeking to educate consumers. Included mental health outcomes were anxiety, depression, self-harm and suicide, whilst surrogate outcomes included product consumption. Industry involvement and the quality of included reviews (critical components of A MeaSurementTool toAssess systematicReviews -AMSTAR 2) were assessed. A narrative synthesis was used to compare the findings by industry, and a typology of interventions was developed. Eight reviews with mental health outcomes were included, each with multiple methodological weaknesses. There is some evidence that reducing the availability of alcohol or pesticides may lower suicide rates. Despite the known links, no evidence on the mental health impacts of population-level interventions tackling the social media, tobacco, gambling and ultra-processed foods industries were located. All gambling reviews were identified as having links to industry. Future high-quality evaluations of commercial determinants interventions developed specifically with the aim of achieving positive mental health outcomes and/or that evaluate mental health outcomes and are free from industry links are needed. PROSPERO ref. number CRD42022346002.

Plastic Behaviour Buffers Climate Variability in the Wandering Albatross.

Climate change has marked effects on global weather patterns and oceanic systems, impacting animal behaviour and fitness in potentially profound ways. Despite this, we lack detailed information about species' responses to climatic variation. Using an 11-year tracking dataset of over 300 individual birds, we explore the consequences of variation in the southern annular mode (SAM) and southern oscillation index (SOI) for individual behaviour and fitness in wandering albatrosses Diomedea exulans breeding in the Southern Indian Ocean. Our results reveal distinct responses between males and females to climatic variation that align with the impacts of each climatic index on the distinct foraging ranges of each sex. In positive SAM phases, linked to poorer foraging conditions in female ranges and better conditions in male ranges, females exhibited behaviour consistent with reduced foraging success: that is, fewer prey capture attempts and more movement between feeding patches. Males, on the other hand, showed no behavioural change. During positive SOI phases, associated with good foraging conditions in both male and female foraging ranges, both sexes showed evidence of more successful foraging, with birds engaging in more search behaviour, and taking shorter trips with fewer prey capture attempts, together indicating increased food intake per unit time. We found limited evidence for a role of individual variation, as measured through differences in personality, suggesting that plastic responses to climate are sufficiently important so as to obscure inter-individual variation. Supporting this was the finding that individual breeding success was unaffected by climatic variation, suggesting that plastic foraging behaviour allows albatrosses to mitigate climate impacts and maintain reproductive output.

Impact of social drinking culture on the cost of bank loans: Rent-seeking or loan-contracting efficiency

This study investigates whether social drinking culture (SDC), as an informal institution, impacts the cost of bank loans to a firm. Studies suggest that SDC influences individual behavior by fostering interpersonal relationships. Few studies have explored the impact of SDC on corporate borrowing. We argue that executives use SDC to obtain bank loans at lower interest rates. However, the mechanism remains unclear. Firms can leverage SDC to engage in rent-seeking from or improve communication with lenders. We tested the hypothesis and the underlying mechanism on a sample of Chinese firms from 2011 to 2020. Results suggest that the SDC lowers bank loan rates for firms and supports the rent-seeking mechanism. Furthermore, firms in strong SDC regions have larger sizes, longer maturities, and more non-collateralized loans but perform poorly in corporate and bank loans. Therefore, strong SDC is used by firms to engage in rent-seeking borrowing, resulting in credit resource misallocation.