Urban Residents Research Articles

Energy efficiency labels and urban residents’ intention to purchase energy-efficient household appliances: an empirical study based on the theory of planned behavior

Energy efficiency labels and urban residents’ intention to purchase energy-efficient household appliances: an empirical study based on the theory of planned behavior

Knowledge, attitudes, and practices towards rabies: A preliminary cross-sectional appraisal in Colombia.

Rabies virus infection can cause fatal brain disease in mammals. Any species is susceptible to infection. Any effort aimed at recognizing infected animals and performing first actions in the event of transmission is mandatory. To determine knowledge, attitudes, and practice profiles regarding rabies, or hydrophobia, in a municipality of Colombia, using a multiple correspondence analysis. A descriptive observational study involving 71 pet owners was carried out in the municipality of Ibagué (Tolima). A questionnaire-based survey collected data on rabies knowledge, attitudes, practices, and demographic information. The survey was conducted between October and November 2021, and the data analysis involved descriptive statistics and multiple correspondence analysis. The study revealed a commendable level of rabies awareness among the urban residents in the study municipality. However, there are causes of concern as they allow stray animals to enter their homes and are not aware of the importance of notifying dead animals. The respondents demonstrated a humane approach to bite management and emphasized the importance of wound cleaning. Additionally, they expressed a strong desire for more information to enhance their knowledge and awareness of the disease. The findings of this study provide valuable insights for improving rabies prevention efforts and promoting public health. Health education, evidence-based strategies, and community participation are essential for successful disease control and educational gaps addressing related to sociocultural factors.

Leveraging the Electronic Health Record to Measure Resident Clinical Experiences and Identify Training Gaps: Development and Usability Study.

Competence-based medical education requires robust data to link competence with clinical experiences. The SARS-CoV-2 (COVID-19) pandemic abruptly altered the standard trajectory of clinical exposure in medical training programs. Residency program directors were tasked with identifying and addressing the resultant gaps in each trainee's experiences using existing tools. This study aims to demonstrate a feasible and efficient method to capture electronic health record (EHR) data that measure the volume and variety of pediatric resident clinical experiences from a continuity clinic; generate individual-, class-, and graduate-level benchmark data; and create a visualization for learners to quickly identify gaps in clinical experiences. This pilot was conducted in a large, urban pediatric residency program from 2016 to 2022. Through consensus, 5 pediatric faculty identified diagnostic groups that pediatric residents should see to be competent in outpatient pediatrics. Information technology consultants used International Classification of Diseases, Tenth Revision (ICD-10) codes corresponding with each diagnostic group to extract EHR patient encounter data as an indicator of exposure to the specific diagnosis. The frequency (volume) and diagnosis types (variety) seen by active residents (classes of 2020-2022) were compared with class and graduated resident (classes of 2016-2019) averages. These data were converted to percentages and translated to a radar chart visualization for residents to quickly compare their current clinical experiences with peers and graduates. Residents were surveyed on the use of these data and the visualization to identify training gaps. Patient encounter data about clinical experiences for 102 residents (N=52 graduates) were extracted. Active residents (n=50) received data reports with radar graphs biannually: 3 for the classes of 2020 and 2021 and 2 for the class of 2022. Radar charts distinctly demonstrated gaps in diagnoses exposure compared with classmates and graduates. Residents found the visualization useful in setting clinical and learning goals. This pilot describes an innovative method of capturing and presenting data about resident clinical experiences, compared with peer and graduate benchmarks, to identify learning gaps that may result from disruptions or modifications in medical training. This methodology can be aggregated across specialties and institutions and potentially inform competence-based medical education.

Knowledge, attitudes, and practices of oil and salt intake and related influencing factors in Southwestern China

ObjectsExcessive oil and salt consumption is a public health issue, notably in China where intakes surpass WHO guidelines. The present study aims to examine the knowledge, attitudes, and practices of Southwestern China residents regarding oil and salt and explore the influencing factors.MethodsThis study used convenience sampling to collect data from 7,367 participants aged 18–75 in the Sichuan, Chongqing, Yunnan, and Guizhou regions of China via on-site face-to-face surveys. Descriptive statistics and generalized linear models were used to analyses knowledge, attitudes, and practices about oil and salt intake and their influencing factors among residents of Southwestern China.ResultsIn Southwestern China, residents of Guizhou Province exhibited poor KAP regarding oil and salt. There were urban–rural differences in Yunnan, Sichuan, and Chongqing, and residents living in towns and cities were the favored factors for KAP scores. Groups engaged in self-employment/sales and freelance were risk factors for KAP score. Individuals with higher education was a favorable factor for KAP score. In Yunnan, Sichuan, and Chongqing groups with preference of salty tastes were favorable factors in KAP score. Diabetic patients were more likely to score low on oil and salt-related KAP performance.ConclusionIn Southwestern China, residents of Guizhou Province displayed poor results in their KAP regarding oil and salt. The region of the province, ethnicity, urban and rural residence, education, taste preference, and prevalence of chronic diseases were the influencing factors of oil and salt-related KAP scores.

Latent class approach to classify e-scooter non-users: A comparative study of Helsinki and Tokyo

Recent years have seen a rapid deployment of shared electric scooters (e-scooters), across hundreds of cities worldwide. Despite the global diffusion, most urban residents are still not using e-scooters, and they often bear the negative consequences of e- scooter deployment. This comparative study investigates the attitudes and characteristics of the e-scooter non-users in Helsinki, Finland and Tokyo, Japan using latent class clustering analysis. Our findings reveal five classes of e-scooter non-users, ranging from very negative perspectives to the least negative perspectives towards e-scooter deployment. Non-users also have a diverse set of socio-demographics background, including variation across age, gender, and income. In addition, non-users mostly do not feel the necessity of using an e-scooter as well as lack competences and have safety concerns. Safety concerns are dominant among those with more negative perceptions, while classes with the least negative perceptions and low income tend to not use e-scooters due to high rental costs. Understanding the different categories and perspectives of non-users, alongside with understanding users, has clear smart mobility policy and management implications. On the one hand, it should help with understanding the effectiveness of different interventions stemming from e-scooter operators and public policy actors. On the other hand, this study’s findings contribute to understanding public acceptability of e-scooter technology and associated policy and management actions. The study also opens further pathways for both comparative studies and for understanding different groups of users and non-users of smart mobility technologies.

Investigation of impact of community environment factors on the residents’ visiting rate to outdoor venues in South China

Understanding the activity patterns of urban residents is crucial for urban community design and urban energy forecasting. Predicting the visitation rates of different types of locations is a important issue because urban residents can only be in one place at a time. Achieving accurate predictions of outdoor public space visitation rates is equivalent to predicting the upper limit of the number of visitors to other buildings. Previous similar studies usually rely on survey methods such as questionnaires and GPS positioning. These methods have some drawbacks, such as small sample sizes and inaccurate data. In this paper, we used mobile signaling to investigate the park visit rates of residents in different communities in Guangzhou. In accordance with Chinese tradition, we define a community as a residential community, which consists of multiple residential units and a set of basic service facilities and management structures that are sufficient to meet the daily needs of residents. We found that the park visit rate of a community is closely related to the characteristics of the community itself. The park visit rate is positively correlated with the average LST (land surface temperature) of the communities, the average distance between the community and the large park, and the building coverage rate, while it is negatively correlated with the vegetation coverage rate, the average surface reflection rate, the convenience of transportation, and the per capita green space area. Given the different travel habits of urban residents on weekdays and weekends, we also used multiple linear regression to establish prediction models for community park visitation rates on weekdays and weekends.

Green Streets, Healthy Hearts: Exploring the Roles of Urban Nature and Walkability in Cardiovascular Health.

With the growing evidence that connects urban environments with public health outcomes, the role of urban planning has become increasingly critical in addressing public health challenges. Cardiovascular diseases (CVDs) are the leading cause of mortality in urban areas and worldwide and are impacted by characteristics of the built environment, such as walkability and nature exposure. In this literature view, we explore the influence of the physical built environment, specifically green spaces and walkability, on cardiovascular health. Results from prior studies show a clear reduction in cardiovascular disease-related risk factors, morbidity, and mortality in neighborhoods that integrate green spaces and/or walkability. Cumulative evidence suggests that urban environments that integrate green spaces (such as parks) and walkability (eg, safe sidewalks) can significantly improve cardiovascular health. Urban planning policies and strategies that prioritize the integration of green infrastructure and walkable designs can contribute to improving cardiovascular health in urban residents while also enhancing the overall well-being and quality of life.

Migration experience and risky financial assets investments of county households: evidence from China

Enhancing the support for inclusive finance in county economies is crucial in achieving the strategic goal of building financial power. Drawing upon the theoretical lens of county-level inclusive financial accessibility, this study examines the effect of the migration experience (ME) of county socialites on their risky financial assets investment (FAI) and the underlying mechanisms. We utilize data sourced from the County Consumption Survey, a nationwide effort by the Department of Sociology of Tsinghua University and the 58 Tongzhen Research Group. Our findings reveal that the ME of county socialites significantly boosts their likelihood of engaging in financial markets. Furthermore, housing inequality factors, such as housing property rights and housing loans, play a moderating role in the impact of individual ME on their FAI. Additionally, the financial concept has a masking effect rather than a mediating effect on the path of the ME affecting FAI. Notably, the promotion effect of ME displays heterogeneity. Specifically, ME has a stronger positive effect on FAI among college-educated groups, members of the Communist Party of China (CPC), and urban hukou residents than on those who have not completed college education, non-CPC members and rural hukou households. In light of these findings, we propose policy recommendations to optimize the distribution of financial services, adjust the housing equality policy, and enhance inclusive financial literacy.

Developing a Model to Study Walking and Public Transport to Attractive Green Spaces for Equitable Access to Health and Socializing Opportunities as a Response to Climate Change: Testing the Model in Pu’er City, China

Green space is not always equitably located in cities, and the attractiveness of green space varies, leaving some residents with easy access to high-quality parks and others with little or no access or access to under-maintained parks. To remedy these inequities, this study identified attractive and well-utilized recreational green spaces and developed a model to measure the likelihood of using these recreational green spaces (PSG). The goal was to reduce the travel time and cost of walking or using public transportation to get to green spaces and to design all green spaces to be attractive. The data come from the perspective of the city’s public transportation system and residents’ personal choices. First, the attractiveness of recreational green spaces was calculated from big data on the geolocation of cell phones, measuring the level of provision of recreational green spaces and the trip rates of urban residents. After that, the travel cost to reach recreational green space in residential areas was calculated according to residents’ travel habits. Finally, the probability of all recreational green spaces in the city being used was calculated by combining the population size of residential areas. Taking Pu’er City in China as an example, the attractiveness and utilization rates of recreational green spaces were calculated by PSG, and the results of the study showed that the probability of residents choosing to use the recreational green spaces that are closer to the residential area, with a larger population capacity, and with a higher attractiveness is the highest. The results of the study help promote equitable access to health and socialization opportunities for individuals and communities, thereby promoting environmental justice to help mitigate and respond to climate change.

Things seen and unseen: 2. Anaemia affects urban rich Nigerian adolescents more than other socio‑economic status groups.

Background: Anaemia is very prevalent globally and is thought to be linearly associated with wealth and to affect females and rural residents more than males and urban residents. Objectives: This study was designed to investigate this thought in a population of adolescents in Ebonyi State, Nigeria. Methods: Standard clinical protocols were used. A total of 362 adolescents (63.5% females) were studied. Anaemia was diagnosed on the basis of the World Health Organization (WHO) criteria. Results: Aggregate anaemia was found in 50.0% of the general population (43.9% males, 53.5% females) and was most prevalent in the urban upper socio‑economic status (SES) group (62.3%; 70.0% females, 52.2% males). Severe anaemia was present in 7.2% of the general population (9.1% males, 6.1% females). It was most prevalent amongst the 10-11 years age bracket (15.6%). Moderate and mild anaemia were found in 22.4% and 20.4% of the general population and in 13.0%, 11.4%, 8.3% and 6.0% of the urban upper, rural, urban low and middle SES groups, respectively. But in the rural area group, severe anaemia existed without wide sex variations. Moderate anaemia was most prevalent in the urban middle and upper SES groups (29.0% and 26.4%, respectively) with a clear female preponderance. Mild anaemia was the least prevalent (15.3%) in the urban middle SES group. Conclusions: The higher prevalence of severe anaemia in boys and the higher burden in the urban higher SES group warrant a rethink of the public health interventions used in Nigeria. Adolescent boys and urban upper SES groups should be targeted in nutrition interventions related to anaemia.

Prevalence and associated factors of preoperative abnormal electrocardiography among older surgical patients in southern Ethiopia: Multicenter cross-sectional study

BackgroundThe prevalence of abnormal electrocardiography (ECG) increases with aging, and these abnormalities may have an impact on anesthesia management. Although a normal ECG does not guarantee a healthy heart, an abnormal ECG can quickly identify a patient who is at high risk of cardiac complications.ObjectiveThe aim of this study was to determine the prevalence and associated factors of preoperative abnormal electrocardiography among older surgical patients at selected teaching hospitals in southern Ethiopia, from February 15 to June 15, 2022.MethodologyA multicenter cross-sectional study was conducted at three randomly selected teaching hospitals in southern Ethiopia on 246 elderly surgical patients recruited consecutively. Data were entered into Epidata version 4.6, then exported and analyzed in STATA version 16. A binary logistic regression model was used to examine factors associated with abnormal ECG, and variables with a P-value < 0.2 were entered into the multivariate analysis to identify independent factors. Both crude and adjusted odds ratios were reported, and a P-value < 0.05 was considered statistically significant. The data were presented using frequencies, tables, charts, and figures.ResultIn the current study, 120 (48.78%) of older surgical patients had abnormal preoperative ECGs. In terms of severity, 55.3% were classified as minor, while 44.16% were major ECG abnormalities. The most common ECG abnormalities were left axis deviation (LAD), left ventricular hypertrophy (LVH), and ST segment changes. The presence of comorbidity (AOR = 3.44, P = 0.001), age ≥ 70 years (AOR = 2.5, P = 0.011), history of angina (AOR = 5.9, P = 0.011), history of smoking (AOR = 5.07, P = 0.024) and urban residency (AOR = 1.89, P = 0.039) were the strongest risk factors for an abnormal ECG.Conclusion and recommendationOur study shows that older patients are more likely to have an abnormal ECG before surgery, regardless of symptoms or risk factors. Therefore, it is suggested that all older patients undergo preoperative ECG screening. Further prospective cohort studies are needed to investigate the impact and outcome of patients with preoperative abnormal ECG.

Things seen and unseen: 1. Stunting and overweight/obesity are predominant malnutrition burdens of urban poor Nigerian adolescents.

Background: Economic growth is associated with reductions in undernutrition. However, in developing countries, malnutrition still exists as a double burden. A better understanding of the dynamics of malnutrition in such societies as a means of aiding policymakers and implementers is thus needed. Objectives: This study investigated the prevalence of malnutrition in Ebonyi State, Nigeria, and the role of socio‑economic status (SES) in driving it. Methods: Standard protocols were used for all measurements. Overweight/obesity, stunting and thinness were defined using the simplified age‑ and gender‑specific height and body mass index (BMI) field tables of the World Health Organization (WHO). Results: A total of 781 adolescents (65.4% female adolescents) from nine secondary schools were studied. Subjects in the rural and urban low SES groups were shorter than the others despite being older, and were shorter than the WHO reference cohort. In the general population, 3.2% (2.0% for girls and 5.6% for boys) were stunted. Urban low SES boys had the highest prevalence of stunting (18.6%). Thinness was found in 2.6% (7.4% for girls and 2.2% for boys) of the general population. It affected rural female adolescents (16.9%) more than the others and, as with stunting, was absent in the urban upper SES group. Overweight/obesity was found in 13.8% (12.5% for girls and 16.3% for boys) of the general population. It was highest amongst the urban upper SES group (35.9%) and absent amongst rural male adolescents. Stunting coexisting with thinness or with overweight/obesity was found in 0.8% and 0.25% of the general population, respectively. Conclusions: Urban residence without improvements in SES is severely detrimental to the proper nutrition of adolescents.

Associations between various anthropometric indices and hypertension and hyperlipidaemia: a cross-sectional study in China

BackgroundThis study aims to explore the association and determine the distinguished potential of anthropometric adiposity indices in screening for hypertension and hyperlipidaemia in the Chinese population.MethodsA recent nationwide cross-sectional study, called the Thyroid Disorders, Iodine State, and Diabetes Epidemiological Survey (TIDE 2015–2017), provided the newest data on the relationships between anthropometric adiposity indices and hypertension and hyperlipidaemia and included 65,231 subjects. The area under the curve (AUC) was used to assess the feasibility of using these indices to distinguish hypertension and hyperlipidaemia. After age stratification, a restricted cubic spline (RCS) fitted for generalized linear regression was used to visualize the relationships of the body mass index (BMI), waist circumference (WC), the waist-to-height ratio (WHtR), the body roundness index (BRI), and the “a body shape index” (ABSI) with hypertension and hyperlipidaemia.ResultsThe results showed that there were significant differences in the BMI, WC, the WHtR, the BRI, and the ABSI among the different age groups (P < 0.0001). After adjusting for sex, age, education, income, smoking status, urban or rural residence, and ethnicity in model, The WHtR and BRI had greater discriminatory power in identifying hypertension (AUC = 0.665, 95% confidence interval (CI) 0.660–0.671 for both), hypercholesterolaemia (AUC = 0.629, 95% CI 0.624–0.634 for both), and high low-density lipoprotein cholesterol (LDL-C; AUC = 0.659, 95% CI 0.653–0.664 for both) status in the overall population. When distinguishing hypertriglyceridaemia among the general population, the BMI (AUC = 0.711, 95% CI 0.706–0.716) and WC (AUC = 0.715, 95% CI 0.710–0.720) had greater discriminatory ability than the other anthropometric indices did. The BMI (AUC = 0.631, 95% CI 0.625–0.637) had the highest power for low high-density lipoprotein cholesterol (HDL-C) status in the general population.ConclusionsSeveral anthropometric indices show significant correlation with hypertension and hyperlipidaemia. The WHtR and BRI were better in distinguishing hypertension, hypercholesterolaemia and high LDL-C status, while the BMI was better in hypertriglyceridaemia and low HDL-C status. The use of combined indices, such as the BMI, WC, the WHtR and the BRI, can be included in an individual’s medical history and can be used as tools for cardiovascular health screening, which may yield superior results for public health.

Investigating spatial and temporal characteristics and elements influencing running among residents of Nanchang city in green open areas

Understanding the exercise behaviors of urban residents in green open spaces is crucial for optimizing future urban spatial planning and improving residents’ quality of life. This study provides an in-depth analysis of residents’ running behaviors across 87 green open spaces in Nanchang City. Running data collected from the exercise platform Keep, coupled with urban geographic data and field research, reveals the spatial distribution and temporal variations of running activities, including running flow, distance, time, and pace. A set of indicator systems, such as total area, landscape form index, surrounding residential land area, and road conditions, is used to analyze its relationship with the environmental elements of green open spaces. The research results show that the running flow, running distance, and running time in green open spaces in Nanchang City are significantly influenced by different objective elements, while running pace shows little correlation with these environmental elements. Specifically, the study highlights the significant impact of elements such as total area and road length, as well as the number of nearby bus stops and population density, on residents’ running behaviors in Nanchang City’s green open spaces.

CLINICAL COURSE OF SEVERE AND CRITICAL CORONAVIRUS INFECTION COVID-19 AMONG PREGNANT WOMEN

Background. The COVID-19 pandemic, which spread in 2020, is a global problem that humanity has faced. Women during gestation are 3 times more likely to be admitted to the intensive care unit, 2.9 times more likely to need invasive ventilation, 2.4 times more likely to need extracorporeal membrane oxygenation, and 1.7 times more likely to have fatal outcomes than non-pregnant women Materials and methods. We conducted a retrospective analysis of the birth histories of 92 pregnant women and postpartum women with COVID-19 coronavirus infection at the clinical sites of the Scientific Center for Obstetrics, Gynecology and Perinatology, perinatal centers in the space of 2020. Results. All patients with coronavirus infection COVID-19 were young pregnant women from the age of 20 to 42 years, at a gestational age of 12 to 41 weeks, of which at full term (38-41 weeks) — 17 (18.5%), at a period of 30-37 weeks — 45 (48.9%), 21-29 weeks — 25 (27.2%), at 12-17 weeks — 5 (5.4%). One-way analysis of variance (ANOVA) has shown that there are statistically relevant differences in the days of hospitalization among the patients, depending on the parity of births (p&lt;0.05). Complications during pregnancy on the part of the fetus were: a threatening state of the fetus was observed among 5 (5.4%), intrauterine fetal death - in 22 (23.9%), premature separation of the normally located placenta (PSNLP) was observed among 3 (3.3%), miscarriage among 2 (2.2%), therapeutic abortion - 1 (1.1%); 28 children (34.2%) were born prematurely, with birth weight from 510g (at 22 weeks) to 3100g (at 37 weeks). Conclusions. Thus, pregnant women with severe and critically severe forms of COVID-19 were predominantly urban residents, at a gestational age of 30 to 37 weeks, and were multiparous. The risk of complications did not depend on the number of previous births, highlighting the need for special attention to this patient category regardless of their obstetric history.

Reduction in perforated appendicitis incidence between rural and urban populations after introducing social health insurance in Vietnam: A population-based study.

Over the years, Vietnam has expanded its social health insurance (SHI) coverage to reduce health disparities. In this population-based study, we examined the differences in incidences of perforated appendix between rural and urban populations in Vietnam since the expansion of SHI coverage in 2015. We also identified risk factors for perforated appendix in these populations. The 2015-2019 SHI inpatient claims data from the Social Security Agency of Dong Thap Province were used to elaborate the final sample of 6863 patients aged 18years or above who underwent an appendectomy. Multivariable probit and logistic regression model were employed to obtain adjusted estimates. An overall rate of 22.9% for perforated appendix among adults in Dong Thap was revealed. After the expansion of SHI, rural residents consistently had lower rates of perforated appendix than urban residents, but the differences between rural and urban residents were small and decreased over time, that is from 4.4% in 2015 to 3.4% in 2019. Older, male, and poor residents were at a higher risk of perforated appendix in both urban and rural areas. In rural areas, patients with comorbidities, patients who resided in remote communes bordering Cambodia, and patients who had district hospitals or commune facilities as their primary assigned providers were significantly more likely to develop perforated appendix. Under the SHI in Vietnam, no significant difference was observed in perforated appendicitis incidence between urban and rural residents. Additional efforts are required to reduce poorer outcomes among other high-risk residents.

Motivating residents to volunteer for urban waterway restoration: A segmentation approach

AbstractUrban landscapes play a crucial role in the health of freshwater ecosystems. The task of protecting and restoring urban freshwater waterways requires concerted efforts from all sectors of society, including volunteers. The recruitment and retention of volunteers is often a challenge for community environmental organizations as urban residents are diverse and influenced by a blend of personal, societal, and environmental factors. We surveyed a representative sample of 1901 urban residents across Aotearoa New Zealand and used the Behaviour Change Wheel framework and audience segmentation to understand the underlying factors influencing volunteering for waterway restoration projects and to identify potential target audiences to recruit new volunteers. We identified four segments within the target audience (“Supportive,” “Receptive but unsure,” “Hesitant and lack opportunity,” and “Reluctant”) each with its own unique profile of capabilities, opportunities, and motivations for volunteering. Recommendations for appropriate intervention designs to increase levels of volunteering include providing tailored messaging and events for those who are “Receptive but unsure” or “Hesitant and lack opportunity” and information about volunteering opportunities to “Supportive” individuals. This knowledge lays the groundwork for future initiatives focused on increasing urbanites' volunteering with community freshwater restoration groups.

The effect of trust in neighbourhood on parents' decision to drive their children to school: Insights from a hybrid choice model

IntroductionThe growing trend of children being driven to school has become a cause of concern in developed countries, with parents' perception of trust in neighbourhoods emerging as a key determinant. Previous research has mainly investigated the influence of either the mother's or the father's perception on children's school travel. While the contribution of each parent's perception to the final decision, and the factors affecting this contribution, remains unclear. MethodsThis study leverages data from the Longitudinal Study of Australian Children (LSAC) to examine the distinct roles of mothers' and fathers' perceptions of trust in the neighbourhood on their children's school travel mode. It proposes a hybrid choice model (HCM) to measure the contribution of each parent's perception as a function of their socio-economic status (SES) in the school travel mode decision. ResultsThe results indicate that a higher parental perception of trust in the neighbourhood significantly reduces the likelihood of using private car to take children to school. The study also identifies several factors that influence parental perception of trust, highlighting differing impacts on mothers and fathers. Neighbourhood SES has a more pronounced positive impact on mothers’ perceptions of trust, whereas homeownership and urban residency exhibit stronger effects on fathers' perceptions. The analysis further delineates the contribution of individual parents to the overall parental perception of trust, demonstrating that higher levels of income decrease this contribution. ConclusionThis study highlights the significant role of parental perception of neighbourhood trust in children's school travel mode, with both mothers' and fathers' perceptions playing crucial roles. Neighbourhood SES, homeownership, urban residence, and ethnic diversity shape parents' perceptions, with differing effects on mothers and fathers. Future policy initiatives should focus on fostering trust and social inclusion through community events, multicultural programs, and social activities to enhance neighbourhood cohesion and support sustainable school travel choices.

LEAF: A Lifestyle Approximation Framework Based on Analysis of Mobile Network Data in Smart Cities

The increasing use of mobile networks is an opportunity to collect and model users’ movement data for extracting knowledge about life and health while considering privacy leakage risk. This study aims to approximate the lifestyles of urban residents, employing statistical information derived from their movements among various Points of Interest (PoI). Our investigations comprehend a multidimensional analysis of key urban factors to provide insights into the population’s daily routines, preferences, and characteristics. To this end, we developed a framework called LEAF that models lifestyles by interpreting anonymized cell phone mobility data and integrating it with information from other sources, such as geographical layers of land use and sets of PoI. LEAF presents the information in a vector space model capable of responding to spatial queries about lifestyle. We also developed a consolidated lifestyle pattern framework to systematically identify and analyze the dominant activity patterns in different urban areas. To evaluate the effectiveness of the proposed framework, we tested it on movement data from individuals in a medium-sized city and compared the results with information collected through surveys. The RMSE of 5.167 between the proposed framework’s results and survey-based data indicates that the framework provides a reliable estimation of lifestyle patterns across diverse urban areas. Additionally, summarized patterns of criteria ordering were created, offering a concise and intuitive representation of lifestyles. The analysis revealed high consistency between the two methods in the derived patterns, underscoring the framework’s robustness and accuracy in modeling urban lifestyle dynamics.

The multifaceted effects of migraine on Syrian society: insights from a multicenter cross-sectional study

BackgroundMigraine is the most common primary headache. It’s alone responsible for 1.3% of disability in the world. Migraine both worsen quality of life of individuals and place a significant burden on the society. Despite this, there exists a knowledge gap regarding its repercussions on the Syrian population.MethodsThis cross-sectional study enrolled 679 migraine-diagnosed patients from all over Syria through electronic questionnaires disseminated on official social media platforms. Depending on demographic characteristics, physical and mental debility assessed using the Chalder scale, the Migraine Specific Quality of Life Questionnaire (MSQ) and the Generalized Anxiety Disorder 2-item (GAD_2) scale.ResultsOur study included 679 participants (mean age: 29.49 years; BMI: 24.55). The sample was predominantly female (74.7%) and mostly single (52%). Females reported higher fatigue (mean = 21.48) than males (mean = 19.22; p < .001). However, Males had better Migraine-Specific Quality of Life (MSQ) scores (mean = 49.90) compared to females (mean = 42.27; p < .001). Females scored higher on anxiety (GAD-2: mean = 2.99 vs. mean = 2.35; p < .001). Moreover, urban residents had higher scores on the Role Preventive (RF-P) subscale of the MSQ than rural residents (mean = 49.93 vs. mean = 44.82; p = .014). Higher fatigue and anxiety levels were associated with lower quality of life scores.ConclusionsThis study aimed to elucidate the multifaceted impact of migraines on daily life, considering diverse demographic variables to enhance diagnostic accuracy, treatment efficacy, and disease management strategies.