Habitual Behavior Research Articles

Modern Pain Science and Alexander Technique: How Might Alexander Technique Reduce Pain?

This article brings together research from the fields of pain science and Alexander Technique (AT) to investigate the mechanisms by which AT helps reduce pain. AT is a cognitive embodiment practice and a method for intentionally altering habitual postural behavior. Studies show that AT helps with various kinds of pain, although the mechanisms of pain reduction are currently not well understood. Advances in pain science may give insight into how this occurs. Modern interventions with efficacy for improving pain and function are consistent with active approaches within kinesiology. They also share similarities with AT and may have common mechanisms such as learning, mind–body engagement, normalization of sensorimotor function, improvement of psychological factors, and self-efficacy, as well as nonspecific treatment effects. AT likely has additional unique mechanisms, including normalization of muscle tone, neuronal excitability, and tissue loading, as well as alterations to body schema, attention redirection, and reduction in overall reactivity.

Active offer of influenza vaccination during hospitalization: a multicenter study in Sicily (Italy)

Abstract Background Every cold season, the Italian health institutions strongly recommend influenza vaccination for categories at risk of complications, however influenza vaccination coverage is over and over far from the desirable target of 95%. After the pilot experience conducted in Palermo during the 2022-23 influenza season, the ‘Vaccinations in the ward’ project was extended to other Sicilian centers in order to evaluate the impact of the vaccination offer strategy in a broader territorial reality and to analyze the determinants of influenza vaccine acceptance among at risk people. Methods The project was conducted at the Umberto I Hospital in Enna and the University Hospitals of Messina and Palermo during the 2023-24 influenza season. A questionnaire was administered to the at risk hospitalized patients to investigate socio-demographic factors, behavioral habits, and clinical condition. Furthermore, influenza vaccination upon discharge was offered. Multivariable logistic regression was performed to identify the determinants of influenza vaccine acceptance. Results Overall, 374 patients with a median age of 65 years (IQR: 50-70) were recruited, of whom 36% had been vaccinated for influenza during the 2022-23 season (n = 136). The patients who accepted influenza vaccination in the ward were 57% (n = 214). The determinants of vaccination adherence were: age (OR: 1.03; p = 0.003); having quit smoking (OR: 2.68; p = 0.017); having received advice on vaccination from general practitioner (OR: 4.9; p < 0.001) and hospital healthcare workers (OR: 7.3; p < 0.001). Conclusions The offer of vaccination in the ward effectively increased influenza coverage among categories at risk of complications. Furthermore, the adoption of correct behavioral habits and the promotion of influenza vaccination by healthcare personnel have played a decisive role in the vaccine acceptance process. These findings could be useful for planning future influenza vaccination campaigns targeted to at risk people. Key messages • Vaccination strategies are needed to increase influenza coverage among at-risk categories. Active offer of influenza vaccine upon discharge can effectively increase vaccination compliance. • The adoption of correct behavioral habits and the promotion of vaccination by healthcare personnel play a decisive role in the influenza vaccine acceptance process among at risk people.

The effect of educational intervention based on self-efficacy theory on promoting adolescent oral health behaviors through mobile application: a randomized controlled trial study

BackgroundOral health is so important for the adolescent age group that the World Health Organization has listed oral health as a lifelong prerequisite for maintaining public health; Therefore, this research was carried out with the aim of the effect of educational intervention based on self-efficacy theory on the promotion of behaviors related to oral health of adolescents through mobile application.MethodsIn this clinical trial, 80 adolescents aged 13–15 years from Shushtar city were selected using a random cluster sampling method and assigned to either the test or control group. The data collection tools included a standard questionnaire for measuring Oral health behavior (awareness, attitude, behavior) and a standard questionnaire for measuring self-efficacy (self-efficacy in brushing teeth, self-efficacy in using dental floss, and self-efficacy in visiting the dentist), as well as demographic characteristics. Training was provided to the test group via a mobile application for 3 weeks. During the intervention, the control group did not receive any training. Questionnaires were distributed in both groups immediately after the intervention, as well as one month and three months post-intervention, and data were collected. In accordance with research ethics, at the end of the study, the educational content was provided to the control group. Collected data were analyzed using SPSS 22 software and Mann-Whitney and Friedman non-parametric tests.ResultsThe findings showed that the educational intervention through the mobile application was effective in improving the average scores of awareness, attitude, self-efficacy in brushing teeth, flossing, visiting the dentist, and the behavior of adolescents regarding oral health behaviors, and this statistical difference was significant compared to before the educational intervention (P < 0.05), while no change was observed in the control group (p > 0.05).ConclusionConsidering that adolescents aged 13–15 years are the age of starting behavioral habits, including oral health behaviors, and on the other hand, their interest in using technology and virtual spaces is high, it is suggested that part of the education of this age group should be designed and implemented in the platform of mobile application.Clinical TrialRegistration in Iran Clinical Trial Center with ID code (IRCT20200120046204N1) Date of.Registration: 2018-02-25.

APPLICATION OF BEHAVIORAL ACCOUNTING: HEURISTIC THINKING IN INVESTMENT DECISION-MAKING BY CRYPTOCURRENCY INVESTORS

This study aims to examine the impact of heuristic involvement on the behavior and decisions of cryptocurrency investors. The study employs an interpretivism paradigm with a qualitative approach to understand the perspectives of both beginner and experienced cryptocurrency investors, using interviews, observations, and document analysis. Four cryptocurrency investors participated in the study. Interviews were conducted three times a week, while observations followed a semi-structured format to gather in-depth insights from four investors. Document analysis complemented the findings by reviewing relevant literature on the impact on investment behavior. Data collection included non-participant observations of investor behavior and decision-making habits, interviews that explored the factors influencing these decisions, and an analysis of documents, including previous research on heurism biases. Heuristic representativeness is a useful tool to predict the development of cryptocurrencies in the long term to a certain extent.

Path analysis of coal mine accident risk factors based on the 24Model.

Coal mine accidents seriously affect China's coal safety production and sustainable development. The present study aimed to reveal the risk factors in coal mine accidents and explore the causal relationship among risk factors. This study utilized text mining to analyse 450 coal mine accident reports, identifying 50 risk factors and efficiently mapping them into the 24Model. The association rule algorithm was then used to mine the strong association rules among the risk factors within the 24Model, establishing the interaction mechanism among them. Based on the strong association rules, related hypotheses were proposed. Finally, the hierarchical and logical relationships of risk factors within the 24Model were analysed, and the causal and mediating effects were tested by path analysis. The safety management system has a direct effect on unsafe acts, unsafe conditions, habitual behaviour and organizational safety culture. Moreover, external influence has an effect on unsafe acts, organizational safety culture and habitual behaviour through the mediating effect of the safety management system. Based on the results obtained, this study proposes a series of specific measures to prevent risks in coal mines, providing a new perspective for the analysis and prevention of accidents.

The Effect of Larval Exposure to Heavy Metals on the Gut Microbiota Composition of Adult Anopheles arabiensis (Diptera: Culicidae).

Anopheles arabiensis is a highly adaptable member of the An. gambiae complex. Its flexible resting behaviour and diverse feeding habits make conventional vector control methods less effective in controlling this species. Another emerging challenge is its adaptation to breeding in polluted water, which impacts various life history traits relevant to epidemiology. The gut microbiota of mosquitoes play a crucial role in their life history, and the larval environment significantly influences the composition of this bacterial community. Consequently, adaptation to polluted breeding sites may alter the gut microbiota of adult mosquitoes. This study aimed to examine how larval exposure to metal pollution affects the gut microbial dynamics of An. arabiensis adults. Larvae of An. arabiensis were exposed to either cadmium chloride or copper nitrate, with larvae reared in untreated water serving as a control. Two laboratory strains (SENN: insecticide unselected, SENN-DDT: insecticide selected) and F1 larvae sourced from KwaZulu-Natal, South Africa, were exposed. The gut microbiota of the adults were sequenced using the Illumina Next Generation Sequencing platform and compared. Larval metal exposure affected alpha diversity, with a more marked difference in beta diversity. There was evidence of core microbiota shared between the untreated and metal-treated groups. Bacterial genera associated with metal tolerance were more prevalent in the metal-treated groups. Although larval metal exposure led to an increase in pesticide-degrading bacterial genera in the laboratory strains, this effect was not observed in the F1 population. In the F1 population, Plasmodium-protective bacterial genera were more abundant in the untreated group compared to the metal-treated group. This study therefore highlights the importance of considering the larval environment when searching for local bacterial symbionts for paratransgenesis interventions.

Look, over there! A streaker! – Qualitative study examining streaking as a behaviour change technique for habit formation in recreational runners

ABSTRACT Background Running as a form of physical activity is beneficial to overall health and wellbeing. The aim of the study is to examine ‘run streaking’ (i.e. running on consecutive days, for a minimum period of time or distance, typically at least one mile) as a technique for habit formation and behaviour change. Methods Qualitative semi-structured interviews with 21 recreational adult runners (11 female and 10 male). Run streak length ranged from a minimum of 100 days to over 4500 days. Transcripts were analysed using a hybrid deductive–inductive thematic analysis. Results Run streaking was reported to lead to several benefits, health improvements and a sense of accomplishment, although many run streakers reported running through injuries and lack of recovery. Accounts of run streaking showed features of automaticity indicative of habitual behaviour. Other behavioural processes identified included motivation, identity, self-regulation and social support. Behavioural streaking showed the potential to influence change in behaviours other than running. Conclusion Accounts of run streaking demonstrate an interplay between automatic and deliberate processes in the maintenance of running behaviour. Behavioural streaking is a technique that could be used in other behaviour change contexts beyond running to support habit formation.

Partisan habitual voters in South Korea: Employing Random Forests to understand Korean voters' electoral choices

AbstractObjectiveThis study investigates whether recent political events in South Korea, such as a presidential impeachment and changes in leadership, have caused a realignment of voters' political affiliations. We aim to determine whether political party allegiance has transitioned into a pattern of habitual voting in the last ten years.MethodsEmploying a Random Forest model based on machine learning approaches, we examined polling data from the last ten years of Korean presidential elections. Instead of relying on hypothesis‐led methods, our analysis emphasizes the intrinsic characteristics of the data to uncover crucial elements affecting voter behavior in each election.ResultsOur results reveal a considerable consistency in voting patterns over the past decade, implying that allegiance to political parties has turned into a habitual behavior. Significant factors affecting voter choices in the 2022 election were also recognized as indicators of election outcomes five and ten years prior.ConclusionThe study reveals that voter behavior in South Korea remains stable despite notable political changes, primarily influenced by habitual elements rather than substantial changes in party loyalty. This suggests that political allegiance has become ingrained as a habitual behavior for Korean voters.

Evaluation of a Child-Friendly School Program in Developing Peace Education at KB Joglo Pati

The purpose of this study was to evaluate the child-friendly school program in developing peace education at KB Joglo Pati. The evaluation model used is CIPP (Context, Input, Process, Product). Qualitative methods were used in the evaluation research. Data were collected through interviews, observations and documentation at KB Joglo Pati. The research results obtained are: (1) The implementation of the child-friendly school program is carried out in accordance with the current needs, namely to prevent violence and discrimination against children at school and in the community. (2) The child-friendly school program in KB Joglo already has good facilities and infrastructure, human resources and financial resources to support the implementation of a child-friendly school program by developing peaceful education. (3) The learning process is interactive, inspiring, and fun, inviting students to actively participate, and learning is tailored to the interests, talents, and psychological development of students by using the regenerative peace and justice curriculum. (4) The results of the implementation of the program are quite good and have shown the principles of child-friendly schools with peace education through habituation of students' attitudes or behavior. The findings of this study are important for children to learn non-aggressive education towards problems as an alternative experience to fighting, and to develop peaceful education while creating a safe and peaceful learning environment so that children are happy and fulfill their potential. Keywords: evaluation, CIPP, child-friendly school, Peace Education

Taste and Habit of Food and Consumer Behavior in the USA in the Early Years of Covid-19 Pandemic

The USA, a highly advanced economy in the world, had experienced increase in household demand for specific food items (restaurant and cafeteria supply, in particular) in the early years of Cobid-19 pandemic. People of America depended largely on the tastes and habits of food items in their household consumption. Even with increasing prices the demand for restaurant foods showed increasing trends. This means that the consumption of food away from home (FAFH) increased and food at home (FAH) fell in demand in 2020 and 2021 (Covid- 19 pandemic). Fundamental law of demand in economics (Ceteris Paribus) for normal goods demand will fall if price of the same increases and vice versa. In the present study, rise in prices of normal goods (restaurant and cafeteria foods) had also shown increase in their demand. This perhaps shows paradoxical to the law of demand in economic theory.  Methodology: This is a study based on secondary sources of information including research works, official publications and those from academic institutions. Analysis of data generated and narratives have been used to find the contemporary food economy of the USA. The demand for food (both FAFH and FAH) has been given importance in the situation of food inflation in the USA in early years of Covid- 19 pandemic. Finally, the equilibrium of the household food consumption is shown geometrically (Fig-1).  Findings and Results: It is found from the study that while the price of food away from home (FAFH) was increasing, the demand for those was also increasing in 2020 and 2021 in the USA. Food being a ‘normal good’ might have shown a fall in demand when price was increasing. This is perhaps, paradoxical in view of the law of demand in economic theory.

Exploring body uneasiness in severe and enduring eating disorders: insights from clinical practice

IntroductionBody uneasiness is a central facet of body image disturbances observed in individuals with eating disorders (EDs). This study aimed to address gaps in understanding body uneasiness in severe and enduring eating disorders (SE-EDs) and explore variations in psychopathology between individuals with different durations of the disorder. We hypothesized that patients with SE-ED might develop habitual behaviors that contribute to ambivalence toward treatment and the persistence of symptoms.MethodsA sample of 360 ED patients was evaluated at the beginning and end of a specialized intensive rehabilitation program. All patients completed the Eating Disorder Examination Questionnaire (EDE-Q) and the Body Uneasiness Test (BUT). They were divided into two groups: SE-ED (> 7 years) and acute (aED, < 3 years) duration.ResultsCompulsive self-monitoring showed a significant change between the start and end of treatment, differing between groups, with a larger change observed in SE-ED (p < 0.048). In SE-ED, it was associated with lower chances of dropout (p = 0.044), opposite to aED (p = 0.009). Treatment responses were primarily related to eating psychopathology, further highlighting differences between the two groups.ConclusionsThis study underscores the possible presence of a habit in SE-ED and the importance of tailoring interventions to address unique needs based on the duration of the disorder. Furthermore, it highlights the need for further research to improve treatment outcomes in SE-EDs.

Uncovering the Motor Dynamics of Obsessive-Compulsive Rituals Through Cluster Analysis.

Rituals represent a prominent human behavior in different contexts such as daily routines, life cycle stages, and psychopathology, for example, obsessive compulsive disorder (OCD) where they are referred to as compulsions. OCD compulsions differ from habitual behaviors and stereotypies regarding their formal features: acts repetition, the addition of nonfunctional acts, and attentional focus on basic motor units. This study aims to categorize OCD compulsions based on the motor patterns of acts repetition and inclusion of nonfunctional acts. We analyzed 28 video-recorded OCD compulsions; we adopted a cluster analytic model to identify distinct patterns within the data and determine cluster characteristics. Our findings revealed a moderate negative covariance between nonfunctionality and repetitiveness, indicating that as nonfunctionality increased, repetitiveness decreased. Three distinct clusters in OCD rituals were identified according to the motor pattern: "idiosyncratic rituals," characterized by strong incorporation of nonfunctional acts; "iterative rituals" showing high repetitiveness; and "routines," with minimal repetition and limited inclusion of nonfunctional acts. These motor patterns highlight evolutionarily conserved behavioral strategies aimed at coping with conditions of environmental unpredictability. The findings might allow fine-grained discrimination of ritual compulsions and help target personalized interventions.

Examining real-time physical activity in adolescents using the Multi-Process Action Control Model: An ecological momentary assessment study

The purpose of this study was to examine real-time associations between reflective (i.e., state motivation), regulatory (i.e., self-control), and reflexive (i.e., habit) constructs from the Multi-Process Action Control (M-PAC) model and real-time moderate-to-vigorous physical activity (MVPA) behaviour among adolescents using ecological momentary assessments. One hundred and ninety adolescents (Mage = 15.76 ± .47 years; n = 101 males) wore an accelerometer for seven consecutive days and responded to digital survey prompts up to four times daily during the after-school periods. MVPA in the 60-minute time window following each survey prompt was recorded. Multilevel mixed-effects linear and logistic models were computed with disaggregated between- and within-person effects to analyze the data. Results from both linear and logistic multilevel models revealed adolescents with higher state motivation in general and experiencing higher state motivation than one’s typical levels were associated with engaging in more MVPA and higher likelihood of engaging in ≥10 minutes of MVPA. Engaging in activities less consistent with habitual behaviours were associated with more MVPA and higher likelihood of engaging in ≥10 minutes of MVPA. By contrast, self-control was not associated with MVPA. Results from this study extend previous work demonstrating the importance of conscious and non-conscious processes on MVPA behaviour by examining associations in real-time using intensive longitudinal methods. Collectively, this study provides partial support for use of the M-PAC framework to explain acute MVPA among adolescents in real-time and natural contexts.

Rotator Cuff Tear and Associated Risk Factors. The Mutual Role of Medical Conditions

■: Several medical conditions (diabetes, cardio-vascular diseases, hypercholesterolemia etc.) or modifiable behavioral habits (smoking habit and alcohol assumption) capable of causing a damage to the peripheral microcirculation are considered potential risk factors for degeneration/tear of the rotator cuff. The aim of the study was to analyse and quantify how the association of multiple known risk factors is more effective than the predisposing action of a single factor. 308 consecutive patients who underwent arthroscopic repair of a full-thickness Rotator Cuff Tear (RCT) represented the case group. The control group included 388 consecutive healthy asymptomatic subjects for shoulder pathologies. A multivariable prognostic model for the prediction of rotator cuff tear has been performed to analyse the mutual effect of multiple risk factors. With a correct classification estimated at 70.6% a smoker patient (OR=2.405; CI95%=1.645-3.516) with hypercholesterolemia (OR=1.976; CI95%=1.408-2.771), diabetes (OR=2.362; CI95%=1.241-4.493) and arterial hypertension (OR=1.630; CI95%=1.156-2.300) has a higher chance of developing a rotator cuff tear surgery compared to a peer non-smoker healthy subject. Probability of a smoker patient suffering from hypercholesterolemia, diabetes, and arterial hypertension to undergo rotator cuff repair surgery is not given by the sum of the probabilities of each condition but increases drammatically. Each pathology interacts with each other; dramatically increasing the risk of developing a cuff tear. Level of Evidence: III Retrospective Study

Cofilin linked to GluN2B subunits of NMDA receptors is required for behavioral sensitization by changing the dendritic spines of neurons in the caudate and putamen after repeated nicotine exposure

BackgroundNicotine dependence is associated with glutamatergic neurotransmission in the caudate and putamen (CPu) of the forebrain which includes alterations in the structure of dendritic spines at glutamate synapses. These changes after nicotine exposure can lead to the development of habitual behaviors such as smoking. The present study investigated the hypothesis that cofilin, an actin-binding protein that is linked to the GluN2B subunits of N-methyl-D-aspartate (NMDA) receptors regulates the morphology of dendritic spines in the neurons of the CPu after repeated exposure to nicotine.ResultsAdult male rats received subcutaneous injections of nicotine (0.3 mg/kg/day) or vehicle for seven consecutive days. DiI staining was conducted to observe changes in dendritic spine morphology. Repeated subcutaneous injections of nicotine decreased the phosphorylation of cofilin while increasing the formation of thin spines and filopodia in the dendrites of medium spiny neurons (MSN) in the CPu of rats. Bilateral intra-CPu infusion of the cofilin inhibitor, cytochalasin D (12.5 µg/µL/side), restored the thin spines and filopodia from mushroom types after repeated exposure to nicotine. Similar results were obtained from the bilateral intra-CPu infusion of the selective GluN2B subunit antagonist, Ro 25-6981 (4 µM/µL/side). Bilateral intra-CPu infusion of cytochalasin D that interferes with the actin-cofilin interaction attenuated the repeated nicotine-induced increase in locomotor sensitization in rats.ConclusionsThese findings suggest that active cofilin alters the structure of spine heads from mushroom to thin spine/filopodia by potentiating actin turnover, contributing to behavioral sensitization after nicotine exposure.

Interactive Interface Design for Adaptive and User Behavioural Habits

This study aims to explore adaptive interaction design in relation to user behavior habits, optimizing the user interface (UI) of mobile applications through statistical analysis of user habits. Specifically, the research analyzes user behavior regarding landscape and portrait browsing modes when using mobile applications. The results indicate that adjusting the UI according to different browsing habits can significantly enhance user satisfaction. Therefore, adaptive interaction design strategies play a crucial role in accommodating user behavior habits, contributing to improved user experience and satisfaction.

Social robot detection based on user behavioral representation

Social robots aim to facilitate our lives by mimicking our behaviors to deliver information and interact with us. Unfortunately, some social robots are bred for sinister intention, which often spread fake news, even threatening personal and national security. To effectively detect these robots, some existing works utilize basic user attributes for clustering, such as creation time and other information, but ignore the behavioral features of social robots, which are important a priori information for detection, and their absence leads to poor performance. To address this problem, we construct the Social Robot Behavior Detection model, which employs social robots' behavioral habits in disseminating content. Specifically, our method consists of three parts. First, to accurately characterize news, we analyze news features from multiple views, which facilitates representing users' habits of posting news. Second, a novel aggregation strategy is designed for aggregating user features to obtain accurate user representation. Finally, a classifier is used to detect whether user is social robots or not. We conduct analytical experiments on two public datasets, and the results show that our model has better detection performance, which demonstrates that our approach outperforms existing works on social robot detection. Our source code is available at https://github.com/NPURG/SRDB.

Research on the multitarget 3D trajectory tracking method of Thalassodes immissaria in the thermal infrared region based on YOLOX-GMM and SORT-Pest.

Studying the behavioral responses and movement trajectories of insects under different stimuli is crucial for developing more effective biological control measures. Therefore, accurately obtaining the movement trajectories and behavioral parameters of insects in three-dimensional space is essential. This study used the litchi pest Thalassodes immissaria as the research object. A special binocular vision observation system was designed for nighttime movement. A thermal infrared camera was used for video recording of T. immissaria in a lightless environment. Moreover, a multi-object tracking method based on the YOLOX-GMM and SORT-Pest algorithms was proposed for tracking T. immissaria in thermal infrared images. By obtaining the central coordinates of the two T. immissaria in the video, target matching and 3D trajectory reconstruction in the parallel binocular system were achieved. Error analysis of the T. immissaria detection and tracking model, as well as the 3D reconstruction model, showed that the average accuracy of T. immissaria detection reached 89.6%, tracking accuracy was 96.9%, and the average error of the reconstructed 3D spatial coordinates was 15 mm. These results indicate that the method can accurately obtain the 3D trajectory and motion parameters of T. immissaria. Such data can greatly contribute to researchers' comprehensive understanding of insect behavioral patterns and habits, providing important support for more targeted control strategies.

Analysis of pollution status and influencing factors of polybrominated diphenyl ethers in household dust in five cities in northern China

Objective: To investigate the pollution levels and influencing factors of polybrominated diphenyl ethers (PBDEs) in household dust in five cities in northern China. Methods: Based on the "Chinese Indoor Environment and Health Surveillance" project carried out by the National Institute of Environmental Health, Chinese Center for Disease Control and Prevention in 2018-2019, during the warm season (April 2018 to September 2018) and the cold season (November 2018 to March 2019), Lanzhou in Northwest China, Shijiazhuang in North China, Panjin in Northeast China, Luoyang in Central China, and Qingdao in East China were selected as the research sites. A total of 87 families were recruited to study residences in real-life scenarios. At the same time, dust samples were collected to detect the concentration of PBDEs. The level of household environmental indicators was measured, and the residential building characteristics and family behavior habits were collected through questionnaires. A total of 142 valid dust samples and 140 valid questionnaires were obtained. The differences in PBDE concentrations across seasons, wind zones, residential building characteristics, and family habits were analyzed. The exploratory factor analysis was performed to investigate the possible sources of PBDEs, and multivariate linear regression was used to explore the factors influencing PBDEs in household dust. Results: The M (Q1, Q3) of total PBDE concentrations in 142 household dust samples in five cities was 144.51 (106.61, 222.65) ng/g in the warm season and 145.10 (98.57, 180.65) ng/g in the cold season, respectively. There were seasonal differences in the concentration of ∑12PBDEs in Luoyang and Shijiazhuang (P<0.01). The concentration of BDE-71 was highest among PBDE homologues, followed by BDE-66 and BDE-47. Three factors were extracted by exploratory factor analysis in the warm season, and the cumulative variance contribution rate was 67.90%. The multivariate linear regression showed that the house completion less than ten years [β (95%CI): 0.186 (0.013, 0.359)], infrequent home cooking [β (95%CI):-0.342 (-0.570, -0.114)], and increased residential PM10 concentration [β (95%CI): 0.001 (0.000, 0.002)] during the warm season, as well as the house far from driveway [β (95%CI): 0.093 (0.013, 0.172)], house area less than 90 m2 [β (95%CI):-0.138 (-0.264, -0.013)], and lower residential xylene concentration [β (95%CI):-0.006 (-0.011, -0.001)] during the cold season might be related to the elevated concentrations of ∑12PBDEs in household dust. Conclusion: The pollution of PBDEs in household dust in five northern cities is at a medium to high level. Years of house completion, frequency of cooking at home, residential PM10 concentration, distance from house to driveway, house area, and residential xylene concentration may influence household PBDE concentrations.

Consumption Habits in Revenge-Buying: A Conceptual Model Integrating Protection Motivation Theory and the Concept of Attitudes

Upon lifting lockdown measures, pent-up consumer demand resulted in a phenomenon known as “revenge-buying” that was influenced by cognitive and habitual factors. This study collected 629 samples from Beijing consumers using straightforward online random sampling methods, ensuring the sample’s representativeness. Structural equation modeling was employed to investigate the impact of cognitive factors on revenge-buying after lockdowns and explain this phenomenon from the consumers’ habitual behavior perspective. Specifically, we developed a novel model that incorporates insights from the concept of attitudes and habits literature within the framework of the protection motivation theory to address this research question. The results reveal that habit significantly affects all cognitive factors, except response cost. Cognitive factors such as perceived severity, perceived vulnerability, response efficacy, self-efficacy, and response cost all play a role in shaping consumers’ attitudes and driving revenge-buying behavior. Furthermore, consumers’ habits contribute significantly to their likelihood of revenge-buying. This study provides empirical evidence for revenge-buying, and the proposed theoretical model offers a more complete understanding of the cognitive factors and habits that drive this behavior. These findings can help businesses to attract consumers, improve satisfaction, and better compete in the context of revenge-buying, ultimately benefiting both consumers and businesses involved in this behavior.