Residential Areas Research Articles

Abstract A111: Leveraging African American women as change agents to reduce obesity-related breast cancer risk: An evaluation of a network-based pilot intervention promoting the Mediterranean diet

Abstract BACKGROUND: Obesity is a key risk factor for breast cancer (BC) incidence, recurrence, and mortality among post-menopausal African American (AA) women. Many older AA women are likely to report fewer healthy dietary behaviors, and those who are overweight or obese are likely to share similar dietary patterns as their social networks (SNs). AA women are also likely to receive information on BC risk from their SNs. Thus, AA women who share information on healthy dietary behaviors are well-positioned to become change agents toward reducing obesity and improving BC outcomes among their SNs. This presents a novel opportunity to increase the impact of evidence-based (EB) interventions focused on reducing obesity-related BC risk. This study aimed to assess the effects of the MedDiet-SN pilot intervention among participants trained as change agents to improve obesity-related BC risk reduction behaviors for themselves and their SNs through EB information sharing. Methods: MedDiet-SN was a 10-week, pre-/post- pilot intervention promoting the uptake of the Mediterranean diet, with participant training on effective EB information sharing. A community-based participant advisory board informed the pilot. Study procedures were IRB approved. Eligible participants were AA women, ≥60 years old, overweight or obese, Chicago area residents, and with no severe health conditions. Sixteen women participated, and 30 of their SN members (age ≥18 years) were recruited through participant referral. Predictors included time from pre- to post-study and session dosage for participants, and participant EB information sharing on healthy eating for SN members. Outcomes for both groups included BC and diet knowledge, dietary change attitudes (motivation, self-efficacy), dietary behavior change, and BMI. EB information sharing on healthy eating was an additional outcome for participants. Bivariate and multivariate analyses were performed to assess outcomes. Results: In crude and adjusted time models, participants showed improved knowledge, behavior change, BMI, and EB information sharing (p<0.05). In adjusted dosage models, participants showed improved knowledge, attitudes, and EB information sharing (p<0.05). SN members showed improved attitudes and behavior change based on participant EB information sharing on healthy eating (p<0.05). In addition, there was a high concordance between participant EB information sharing and SN EB information learned (>70%). CONCLUSION: This research is innovative in that it 1) shows the effectiveness of a network-based intervention promoting healthy dietary behaviors for obesity-related BC risk reduction among AA women, 2) supports the value of scaling up interventions by leveraging participants as change agents for EB information sharing among SNs, and 3) provides a contribution to emerging research on positive intervention spillover effects to SNs. It is anticipated that results from this study will inform the development of future network-based interventions that aim to reduce obesity-related BC risk and improve health outcomes for AA women. Citation Format: Nyahne Bergeron, Mona Strahan, Patricia Hardmon, Marja Stanford- Leak, Anita Stevens, Annie Young, Devyanne Ward, Lois White, Eunhye Lee, Lisa Tussing-Humphreys, Marian Fitzgibbon, Yamilé Molina. Leveraging African American women as change agents to reduce obesity-related breast cancer risk: An evaluation of a network-based pilot intervention promoting the Mediterranean diet [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr A111.

Decision dynamics and landscape approach by individuals and collective groups: the case of Japanese rural land use in agricultural, forest, and boundary areas in an era of population decline

Establishing a decision-making scheme for multiple land use types in a shrinking society is an urgent and persistent task. In particular, residents and governments face the complexity of cross-sectoral visions over concerned landscapes. This study examined the preference of residents for future visions and the effects of group deliberation in a Japanese rural community to enhance the current understanding of decision and learning processes on cross-sectoral land use types (i.e., agricultural land, forest land, and boundary areas) across ages and groups. This study posed the following questions: (i) what types of interactions do residents find among options on cross-sectoral land uses? and (ii) how do group deliberation influence the individual preferences of residents for land use? In the survey, the residents disclosed their preferences for the prepared visions over three land use types. The survey also enabled the comparison of choices before and after group deliberation. Regarding question (i), the residents’ choice prior to the deliberation demonstrated thematic coherence through land use categories. Smart technology and potential productivity improvement were selected across agriculture and forests. However, regarding question (ii), thematic coherence decreased after the group deliberation. The residents could communicate disagreements during group deliberation and consider the issues relatively independently over land use types, which separately views agriculture lands and forests. The choice after group discussions became increasingly embedded and influenced by residential areas and land ownership of residents. These findings provide unique insights into the group discussion on how individual decisions are affected. In summary, the preferences of cross-sectoral land use types did not converge but tended to diverge.

Preservation of 20th-Century Residential Areas and a Proposal for Karabük Yenişehir Settlement

Preservation of 20th-Century Residential Areas and a Proposal for Karabük Yenişehir Settlement

Decision-making method for low-carbon transformation technology in existing residential areas based on knowledge graph and scenario analysis methods

ABSTRACT Cities are the main contributors to carbon dioxide emissions, and communities are crucial for implementing urban low-carbon emissions. As a result of the controversies surrounding existing transformation technologies and the varying conditions faced by different targets for transformation, an effective method is required for application in specific target communities to achieve good carbon reduction effects. We propose a method that utilizes the knowledge graph and scenario analysis to systematically screen and evaluate community low-carbon technologies. First, a comprehensive knowledge map spanning multiple fields was constructed, and the correlations were analyzed using CiteSpace. Additionally, we categorized the transformation technologies into nine scenarios to assess their effectiveness and feasibility across different community contexts. Finally, the near-zero carbon emission community pilot area of Shenzhen City was selected as a case study, and the method was applied as a demonstration. The total carbon emissions of the pilot community were reduced by 43% after applying the proposed method. This method is helpful for technical screening at the low-carbon transformation stage and also provides a useful reference for the low-carbon construction stage of communities.

Research on the Evaluation of an Age-Friendly Layout of Medical Service Facilities in Wuhan City Based on Accessibility

Accessibility is an important indicator for measuring the level of medical facility services in cities. Traditional studies on healthcare accessibility for the elderly have typically focused on the capabilities of emergency services while overlooking the daily independent healthcare needs of the elderly. Taking Wuhan City as an example, the Gaussian two-step floating catchment area method is used in this study to measure the accessibility of urban elderly residents with respect to general hospitals, specialized hospitals, and community health service centers. It also analyzes the appropriateness of the medical facility layout for the elderly in Wuhan City. The research findings indicate the following: (1) The accessibility evaluation method for urban medical facilities established with the Gaussian two-step floating catchment area model can accurately assess the supply–demand relationship between the elderly and various levels of medical facilities. (2) The overall coverage of medical service facilities in Wuhan City is relatively high, but there are significant differences in accessibility for elderly residents in different areas. (3) The appropriateness of daily healthcare access for elderly residents in the central urban areas of Wuhan City is mainly influenced by the layout of general hospitals, while, in the peripheral areas, it is mainly influenced by the layout of specialized hospitals and community health service centers. (4) Improving the appropriateness of urban medical facilities for elderly individuals requires differentiated improvement measures tailored to the characteristics of different zones.

The influence of residential location and public transit options on commuters’ intention to use travel apps for different travel purposes

While living in city centers is usually linked to higher accessibility levels, shorter travel times, and higher levels of public transit (PT) utilization, the opposite is true for residents of suburban areas. This assumption holds in metropolitan contexts, where central areas offer better accessibility and are associated with higher levels of PT use. In metropolitan peripheries, a large part of commuting is done on an interurban basis, so that the level of use of public transit can be linked to the supply and information available. This work aims to understand the conditions in terms of transit supply and land use, considering the most frequent trip, psychological variables, and the modal choice of commuters’ motorized modes, in the intention to use the new real-time multi-modal travel app, such as advanced traveler information systems (ATIS) for digital mobility-management assistance. A Structural Equation Model is developed to empirically test a sample of 768 respondents collected in two suburban corridors in the Lisbon Metropolitan Area (LMA). Finally, our findings indicate that residential location, mode choice, and trip complexity have a relevant influence on the intention to adopt travel apps. Male students belonging to Generation Y/Z are the most likely users of travel apps. Regardless of the reason, travel patterns associated with more complex (more transfers) and more frequent trips can reinforce the intention to use apps. Also, it is worth noting that students are frequent public transit users, and public transit is also related to trip complexity.

СОВРЕМЕННЫЕ ТЕНДЕНЦИИ ПРОЕКТИРОВАНИЯ И СТРОИТЕЛЬСТВА ЖИЛЫХ РАЙОНОВ В ГОРОДАХ

This scientific article is devoted to the study of modern experience and principles of designing residential areas in cities, as well as the study of foreign and domestic literary sources on the design of residential areas. Domestic and foreign examples of developed and built residential projects were analyzed. Based on this research, the author has developed the principles of designing residential areas using the example of a residential area in Simferopol. Subject of research: the design and construction of residential areas. Materials and methods: In the course of the study, literary sources that are in the public domain were analyzed, and the functional zoning of residential areas of cities was analyzed. Results: A comprehensive analysis of foreign and domestic examples of the design of residential areas in cities was carried out. Based on the above information, the principles of designing residential areas have been developed. Conclusions: The analysis showed that most of the residential areas under consideration have similar problems and requirements in the field of urban planning. At the same time, it was determined that the most common are: the use of low-quality outdated materials in the construction of residential buildings, monofunctionality of the environment (for example, exclusively residential buildings), chaotic placement of transport and pedestrian connections, insufficient landscaping of courtyards and public spaces of residential areas.

Impact of e-commerce development on rural income: Evidence from counties in revolutionary old areas of China

Abstract Digital technology has enormous potential in rural revitalisation, thus providing impetus for improving the well-being of rural residents in underdeveloped areas. This study takes the policies of e-commerce in rural areas as an intervention in the development of e-commerce. It uses the panel data from 321 counties in the old revolutionary areas of China from 2003 to 2020 to empirically explore the impact of e-commerce development on the income of rural residents. Results show that e-commerce significantly improves the income and well-being of rural residents in old revolutionary areas. Propensity score matching and entropy balance matching are used to overcome group differences in covariate features, and the estimation results are consistently robust. In terms of mechanisms, e-commerce development increases per capita income in old revolutionary areas by promoting three aspects significantly: agricultural revitalisation, non-agricultural employment, and government support efforts. On the other hand, the heterogeneity analysis shows that e-commerce plays a diminishing role in increasing income in the eastern, central, and western regions.

The IoT-Based Early Warning System for Detecting High Tide Floods (ROB-EWS) in Tambak Lorok, Semarang Indonesia

Background and Objectives: The Tambaklorok fishing village area, located on the northern coast of Semarang City, Indonesia, is susceptible to sea level fluctuations, which often lead to tidal flooding and seawater encroaching into residential areas. Consequently, a seawater flood detector (rob) is needed for effective disaster mitigation for affected communities. This study aims to implement a disaster mitigation system by installing an IoT-based Seawater Flood (Rob) Early Warning System to reduce disaster risks and their impacts on the community. Methods: The IoT-based Early Warning System is designed to detect floods by monitoring sea level height parameters. Results: IoT-based devices measure sea level using ultrasonic sensors, with the readings processed by a microprocessor. The data is then periodically analyzed and transmitted to an application in real-time. This technology allows for real-time information dissemination through web applications and alerts in the form of sirens. These warnings enable residents to evacuate and move to safer areas. The siren alerts are categorized into two levels: Alert 1 indicates that seawater is approaching the land boundary, while Alert 2 signals that water has begun to enter residential areas. Additionally, designated evacuation zones will guide affected communities to safer areas. Conclusion: The installation of an IoT-based Early Warning System delivers real-time information to help mitigate the impact of rising sea levels (rob) in the Tambak Lorok fishing village community.

Measurement and analysis of vibration responses due to subway transit in residential areas

The issue of building vibrations caused by subway operations has become increasingly prominent, significantly impacting residents' daily lives. This study investigates the vibration response of a residential area when the subway passing through, which involved the vibrations of the free field, the basement, and the nearby buildings. In addition, numerical simulation of building vibration by Etabs software was discussed. The free field vibration above the shield tunnel diminishes rapidly in the vertical track direction as the horizontal distance increases. However, the influence range of subway induced vibrations significantly expands when a basement is built adjacent to the subway. Data on building vibrations revealed the distribution of vibrations along the vertical direction and the vertical vibration amplification at the slab center due to local resonance. Interestingly, isolation designed for seismic loads also offers some benefits in reducing vertical vibrations. The numerical simulation results of the vibration response at the shear wall bottom show a certain degree of consistency with the actual measured results, but the attenuation of the vibration is faster, which may underestimate the vibration response of the building. The findings of this study provide valuable insights for understanding the impact of subway operations on surrounding buildings, optimizing subway and structural spatial layouts, and designing for vertical vibration control.

Comprehensive Evaluation of Urban Renewal Based on Entropy and TOPSIS Method: A Case of Shandong Province

This study offers a comprehensive evaluation of urban renewal efforts in Shandong Province, China, by employing the entropy method combined with the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). An evaluation index system was constructed to assess the weights of key factors influencing urban renewal, including the renovation of old residential areas, improvement in sewage treatment quality, development of sponge cities, adoption of clean heating, and enhancement of air quality. Analysis of 16 prefecture-level cities in 2019 reveals significant disparities in performance, with Jinan achieving the highest ranking due to notable improvements in infrastructure and environmental management. Meanwhile, other cities displayed varying levels of success, reflecting different developmental stages and capacities. The findings underscore the necessity for tailored strategies to optimize urban renewal outcomes, focusing on high-weight factors such as sewage treatment, clean heating, and residential renovation. This study provides actionable insights for policymakers, advocating adaptive renewal strategies that align with local contexts and encourage continuous innovation. The results highlight the importance of targeted policy interventions to enhance urban renewal quality across Shandong Province, promoting sustainable urban development and better living standards.

Health disparities and inequalities in prevalence of diabetes in the Kingdom of Saudi Arabia

BackgroundOver time, global health systems have witnessed significant improvements in the delivery and coverage of healthcare services. Nevertheless, the increasing prominence of non-communicable diseases remains a persistent challenge. Diabetes is one such non-communicable chronic disease that poses a threat with respect to both mortality and morbidity. This study investigated the socio-economic determinants and inequalities in the prevalence of diabetes in the Kingdom of Saudi Arabia according to data collected from the 2018 Saudi Family Health Survey conducted by the General Authority for Statistics.MethodsThe analysis was limited to a sample of 11,528 respondents aged ≥ 18 years, selected across all 13 regions of Saudi Arabia, with complete responses for all variables of interest. Socio-economic determinants in diabetes prevalence were explored with univariate, bivariate, and multivariate logistic regression analyses. Furthermore, inequalities were visualised and quantitatively estimated according to construction of a concentration curve and calculation of the concentration index.ResultsThe prevalence of diabetes among the 11,528 respondents was 11.20%. Age, education, income, and residence area were significant determinants of diabetes prevalence, with a greater risk of diabetes found in older participants (odds ratio [OR]: 12.262, 95% confidence interval [CI]: 9.820–15.313, p < 0.01) compared to younger participants. Inequality analysis showed a negative education-based concentration index (–0.235, p < 0.01), indicating that diabetes prevalence is concentrated among people with relatively less formal education. For males, the income-based concentration index was significantly positive, whereas the education-based concentration index was significantly negative, indicating a greater concentration of diabetes among Saudi men with higher incomes and less education.ConclusionThese findings emphasize the need to prioritize policies and strategies for diabetes prevention and control with considerations of the socio-economic inequalities in prevalence. Key areas of focus should include improving education levels across all regions, raising awareness about diabetes and implementing nutritional interventions.

“In the dry season, our suffering doubles”: Barriers to water access in poor urban settlements in Ghana

If current trends of water insecurity continue, nearly two-thirds of the world’s population will live in water-scarce conditions by 2025. Nevertheless, qualitative studies on barriers to water access, particularly in informal settlements, remain limited. This study used in-depth interviews to examine the daily barriers to water access faced by urban poor households in Ghana. A total of 30 (n = 30) semi-structured in-depth interviews were conducted with residents in water-insecure areas in Tamale and Accra, Ghana. Four themes emerged from our analysis: lack of financial resources, distance and travel time, land and topography, and poor water infrastructure. Sustainable Development Goal Six cannot be achieved if the water needs of the urban poor, particularly those who dwell in informal settlements, are unmet. Thus, governments and systems must implement measures to eliminate inequalities and inequities in water distribution.

Quality of Online Learning in Students of the Higher Level

E-learning is essential for effective feedback, which motivates the implementation of university infrastructures. The objective is to analyze the level of quality of e-learning in higher level students. An online survey of 1901 students was conducted. Descriptive statistics and multiple linear regression technique were used. The results indicate overall an average score of 3.34 for learning quality and satisfaction level of 66%. The model is significant (p&lt;0.05), but the factors sex, residential area, professional career and cycle are not significant. The findings suggest promoting management that integrates the various factors involved in the quality of e-learning.

Use of Digital Technologies for the Conduct of Work in the Government System Based on the Demans of the Current Times

This article deals with the issues of ensuring the safety of the population in the residences of citizens. It is planned to implement an electronic platform that allows for quick collection and analysis of information on the technical and social condition of residential areas. These strategies focus on digital transformation in the national economy, industry, and society. In Uzbekistan, significant steps have been taken to implement modern information and communication technologies (ICT) in public administration, education, healthcare, and agriculture. One notable challenge addressed in this study is the management of carbon monoxide poisoning, fire hazards, and explosions during the heating season. The research highlights the limitations of manual data collection, including the risk of data loss, difficulty in locating information, and inefficiencies in processing critical safety data. The program processes data in less than a minute, facilitating more efficient emergency management and preventive measures. This system exemplifies the role of digital technology in enhancing public safety and optimizing government operations.

Validation of CFD models of urban microclimates under high temperature and humidity conditions during daytime heatwaves in dense low-rise areas

In the midst of the ongoing climate crisis, there is a growing need to study the effects of climate on humans, especially those of the microclimates that surround humans and their activities. Various models have been developed to simulate microclimates, but simulation models for densely populated areas experiencing heat waves have shown an issue with simulating temperatures that were too high compared to actual measurements. To overcome these limitations, this study aimed to develop and validate CFD model based on STAR-CCM+ in order to more accurately simulate the microclimate of dense residential areas. To improve the realistic simulation capability found in existing models, the model was designed to include solar radiation, humidity, ground radiation, longwave radiation exchange, heat storage and evaporation due to various urban surfaces, evapotranspiration from vegetation, convection, and heat transfer from buildings. For validation, comparisons were made between the simulation results and the actual measurements during this time. The results showed that the R2 value of the model developed in this study increased from 0.86 to 0.91, indicating that the model was able to reproduce the measured results of the target site well. To avoid overfitting the model, the measurement results of the Han River AWS, another AWS operated by the Korea Meteorological Administration near the target site, were input. It was confirmed that the model reproduced the actual measurements of five locations in the target site well. The R2 of temperature and humidity ranged from 0.96 to 0.98, and wind speed ranged from 0.64 to 0.81.

Descriptive epidemiology of gastroschisis in China from 2007 to 2020: a nationwide surveillance-based study

BackgroundGastroschisis is a common abdominal wall defect that increases infant mortality risk and health care costs. However, recent epidemiological data on gastroschisis in China is limited.MethodsUsing 2007–2020 data from the Chinese Birth Defects Monitoring Network (CBDMN), we analyzed gastroschisis prevalence rates stratified by birth year, maternal age group, residence area, geographical region, and infant sex. We also examined the temporal variations in prevalence, pregnancy outcomes of affected infants, prenatal diagnoses, and co-occurring anomalies.ResultsFrom 2007 to 2020, a total of 6,813 cases of gastroschisis were identified among 25,909,000 births, comprising 4,675 isolated and 2,138 non-isolated cases. Prevalence rates per 10,000 live and still births were 2.63, 1.80, and 0.83 for the overall, isolated, and non-isolated gastroschisis, respectively, all showing a decreasing trend over the study period. The prevalence of overall gastroschisis varied significantly by maternal age (< 20 years, 9.88/10,000; 20–24 years, 4.17/10,000; 25–29 year, 2.08/10,000; 30–34 years, 1.88/10,000;≥35 years, 2.24/10,000), maternal residence (urban, 2.45/10,000; rural, 2.85/10,000), geographic region (central, 2.54/10,000; east, 2.57/10,000; west, 2.80/10,000), and infant sex (male, 2.13/10,000; female, 1.79/10,000). Non-isolated gastroschisis cases had a higher early neonatal mortality rate than isolated cases (41.91% vs. 28.10%) and frequently co-occurred with musculoskeletal anomalies.ConclusionsThis study highlights a declining trend in gastroschisis prevalence in Chinese population, a contrast to previous studies, and underscores the need for improved perinatal management due to adverse pregnancy outcomes associated with this condition.

Historical exposure to metals in contaminated areas and its impact on cardio- and cerebrovascular health

Environmental pollution is of global concern. In Southeast Sweden, historical glass production has contaminated communities with toxic metals. Long-term residency in these communities and high consumption of local foods may constitute a risk for cardiovascular disease (CVD) or stroke.The current study investigates if residency in these contaminated sites and long-term consumption of local foods is associated with self-reported CVD and stroke. In addition, the body burden of the toxic metals arsenic, cadmium, and lead, as well as inflammatory protein markers, were studied for association with CVD and stroke.From an existing questionnaire cohort and biomonitoring sub cohort (n = 2290/882) of people living in the contaminated areas, self-reported CVD cases (n = 366/166) and stroke cases (n = 78/25) were identified. Individuals were grouped based on their residency within a 2 km radius of glassworks with historical high, moderate, or low air-borne lead emissions. Body burden of arsenic, cadmium, and lead was analyzed using ICP-MS. Inflammatory markers were investigated using electrochemiluminescence.Long-term residency near glassworks with historically high levels of lead emissions, and high consumption of local foods, were associated with CVD. The risk was increasing for each year of residency in high emission areas. Increased body burden of arsenic in blood, and lead in urine, were associated with stroke. Five and two inflammatory markers, respectively, were elevated in CVD and stroke cases after adjusting for confounders.An increased risk for CVD was found in areas with historically high emissions of lead but possibly also other toxic metals. Interestingly, there was an indication of a dose-response relationship with increasing risk for CVD per year of residency time. Inhalation and consumption of local food may constitute major pathways for this association. The study shows that long-term exposure to toxic metals in these contaminated areas is associated with CVD and that there is a need to limit exposure in the general population.

Knowledge of and attitude towards depression among urban and rural residents in Beijing: a cross-sectional study

ObjectivesTo compare the level of knowledge of depression, recognition ability and attitudes towards depression among urban and rural residents in Beijing.DesignA cross-sectional study.SettingSix districts in Beijing, China, 2021.ParticipantsA total of...

Occurrence, risk assessment and source apportionment of perfluoroalkyl acids in the river of a hill-plain intersection region: The impacts of land use and river network structure

Studying the impacts of land use and river network structure on perfluoroalkyl acids (PFAAs) footprint in rivers is crucial for predicting the fate of PFAAs in aquatic environments. This study investigated the distribution, ecological risks, sources and influence factors of 17 PFAAs in water and sediments of rivers from hills to plain areas. The results showed that the detection frequencies were higher for short-chain PFAAs than long-chain PFAAs in water, whereas an opposite pattern was found in sediments. The concentration of ∑PFAAs ranged from 59.2 to 414 ng/L in water and from 1.4 to 60.1 ng/g in sediments. Perfluorohexanoic acid and perfluorooctanoic acid were identified as the main pollutants in the river. The average concentrations of PFAAs were higher in the aquaculture areas (water: 309.8 ng/L; sediments: 43.27 ng/g) than in residential areas (water: 206.03 ng/L; sediments: 11.7 ng/g) and farmland areas (water: 123.12 ng/L; sediments: 9.4 ng/g). Environmental risk assessment showed that PFAAs were mainly low risk or no risk in water, but were moderate risk and even high risk in sediments, especially for perfluorooctane sulfonate. Source apportionment found that PFAA sources were mostly from industry, wastewater discharge, and surface runoff. Dissolved oxygen, chemical oxygen demand, water system circularity, network connectivity and organic matter were significantly correlated to PFAA concentration, indicating that the physicochemical properties and river network might directly influence the environmental behavior of PFAAs. The built-up area was positively correlated with PFAAs. These findings indicated that a comprehensive understanding of the influences of land use and river network structure on PFAAs in rivers is essential for managers to formulate effective PFAA control strategies.