Residential Stability Research Articles

Associations of social support, living arrangements, and residential stability with cancer screening in the United States.

Social support has been linked to increased use of preventive care services. Living arrangements and residential stability may be important structural sources of social support, but few studies have examined their impact on cancer screening. Data were from the 2021 National Health Interview Survey. Participants were classified as up-to-date or not with female breast cancer (BC), cervical cancer (CVC), and colorectal cancer (CRC) screening recommendations. Multivariable logistic regression was used to model associations between screening and residential stability (< 1year, 1-3years, 4-10years, 11-20years, or > 20years), living arrangement (with spouse/partner only, children only, both, or neither), and perceived social support (rarely/never, sometimes, usually, or always available), overall and stratified by sex (CRC) and age group (CVC). The adjusted odds of BC (odds ratio [OR] 0.61, 95% CI 0.45-0.81) and CVC (OR 0.76, 95% CI 0.60-0.96) screening were lowest for those who reported never/rarely vs. always having social support. The adjusted odds of BC (OR 1.44, 95% CI 1.22-1.70) and CRC (ORFEMALE = 1.42, 95% CI 1.20-1.68; ORMALE = 1.61, 95% CI 1.35-1.90) screening were higher for those living with a spouse/partner only vs. those living with neither spouse/partner nor children. Less residential stability was associated with increased CVC screening among females 21-34years of age, but not BC or CRC screening. Social support measures were associated with screening to varying degrees by site and age, but higher perceived social support and living with a spouse/partner only demonstrated a consistent positive association. Interventions that mobilize social support networks and address the unmet social needs of parents/caregivers may improve cancer control.

Neighborhood predictors of suicide and firearm suicide in Detroit, Michigan

BackgroundSuicide is a leading cause of death in the United States with rates increasing over the past two decades. The rate of suicide is higher in rural areas, but a greater number of people in urban areas die by suicide; understanding risk factors for suicide in this context is critically important to public health. Additionally, while many studies have focused on individual-level risk factors, few studies have identified social or structural features associated with suicide or firearm suicide, especially among young people.MethodsStudy outcomes included total firearm suicide, total youth (age 10–29) firearm suicide, total suicide, and total youth suicide in Detroit, Michigan from 2012 through 2019. The predictors in this study included 58 census-tract level variables characterizing the physical features, residential stability, socioeconomic status, and demographics of neighborhoods in Detroit over the study period. We used random forest, extreme gradient boosting (XGBoost), and generalized linear mixed models to predict the four outcomes.ResultsWe found that the tract-level variables used in all three modeling approaches performed poorly at predicting the suicide outcomes, with area under the curve values at times exceeding 0.60 but with extremely low sensitivity (ranging from 0.05 to 0.45). However, the percentage of parcels sold in arms-length transfers in the previous 5 years, the count of vacant lots per square mile, and the percentage of children aged three and older who were enrolled in preschool each demonstrated associations with at least two of the outcomes studied.ConclusionsOur findings suggest place-based factors at the tract level do not provide meaningful insight into the risk of suicide or firearm suicide among youth or the general population in Detroit, Michigan. Future practice and study should consider focusing on both larger and smaller areas, including city and individual-level factors. For example, studies might benefit from the use of both neighborhood and individual-level measures and their interactions to improve our understanding of place-based risk factors and suicide risk.

Using Administrative Data to Identify Factors Associated with Healthy Development After Experiencing Household Challenge Adversity in Early Childhood

This study aimed to identify factors associated with healthy development after experiencing household challenge adversity in early childhood. A cohort of 42,505 children born in Manitoba, Canada was created using linkable health, social, and education administrative data. Children were divided into 5 groups according to whether they experienced adversity between birth and four years of age in the following categories: 1) having a parent diagnosed with a mental health disorder, 2) having a parent diagnosed with a substance use disorder, 3) having a parent who received income assistance for at least 2 months, 4) experiencing at least one of the 3 adversities, and 5) having none of the adversities listed. For each group, multiple linear regression models were computed to determine the association of the independent variables (age, sex, birth order, team parenting, neighbourhood-level socio-economic status, parent high school completion, being an established resident in Canada, not having a major illness, residential stability, program participation, and connectedness to health care services) on child development, represented by their Early Development Instrument scores. In each group, factors associated with healthy development included at minimum: older age, being female, being firstborn, team parenting, higher neighbourhood-level socio-economic status, parent high school completion, being an established resident in Canada, and not having a major illness. Several of these factors are associated with increased access to material resources. As such, policies that facilitate the delivery of resources to lower-income families and neighbourhoods with lower socioeconomic status could translate into improved developmental outcomes for children.

Neighborhood environment and quality of life of older adults in eastern Nepal: findings from a cross-sectional study

IntroductionQuality of life (QoL) is a subjective measure reflecting individuals’ evaluations based on their personal goals and values. While global research shows the role of neighborhood factors like ethnic diversity and socio-cultural dynamics on QoL, these are unexplored in the Nepali context. Therefore, this study examined the relationship between neighborhood environment and QoL among Nepali older adults in eastern Nepal.MethodsThis cross-sectional study involved 847 non-institutionalized older adults (aged ≥ 60 years) from two districts in eastern Nepal. QoL was evaluated using the 13-item brief Older People’s Quality of Life questionnaire, where a mean score of < 3 indicated low/poor QoL. The neighborhood environment, conceptualized across three domains (demographic, socio-cultural, and built environment), included ethnic diversity, connections with family, friends, and neighbors, cultural ties, residential stability, and rurality. Their association with QoL was examined using multivariable logistic regression.ResultsAround 20% of older adults reported poor QoL. Higher ethnic diversity (adjusted Odds Ratio [aOR] = 0.12, 95% confidence interval [CI]: 0.04–0.36), moderate contact with family and relatives (aOR = 0.26, CI: 0.11–0.61), and high contact with neighbors (aOR = 0.09, CI: 0.03–0.21) were associated with lower odds of poor QoL. Conversely, high contact with friends (aOR = 2.29, CI: 1.30–4.04) and unstable residence (OR = 6.25, CI: 2.03–19.23) increased the odds of poor QoL. Additionally, among the covariates, chronic disease, tobacco use, unemployment, and lack of education were also significantly associated with poor QoL.ConclusionOverall, the demographic environment, socio-cultural factors, and the built environment of the neighborhood influence QoL. Therefore, diversifying the neighborhood’s ethnic composition, promoting social connections such as frequent contact with family, relatives, and neighbors, and ensuring residential stability can enhance the QoL of older adults.

주택임대차보호법상 법적 쟁점과 개선 방안에 대한 소고

While a lease contract is a civil relationship between private parties, the importance of residential stability, the unique characteristics of the domestic housing market, and the protection of tenants necessitate state intervention based on the special law of the Civil Code, the Housing Lease Protection Act. The original Housing Lease Protection Act was primarily focused on protecting the lease deposit, considering the social conditions at the time of its enactment. However, it has been gradually amended to stabilize the housing market and preserve the foundation of the national economy. Recently, the law has evolved to include the introduction of the right to request contract renewal and the regulation of rent increase limits. Nevertheless, during this process, issues of fairness have continuously arisen, particularly concerning whether reasonable protection is provided to both parties of the lease contract, the tenant and the landlord. There is ongoing debate about whether the emphasis on tenant protection infringes on the landlord’s fundamental property rights. Additionally, the achievement of the Housing Lease Protection Act’s fundamental objective of ensuring the stability of the tenant’s living environment remains uncertain, and there are concerns that landlords’ rights are ambiguously restricted. This underscores the need for review and reassessment. One of the main amendments to the Housing Lease Protection Act is the extension of the lease contract duration due to the tenant’s right to request renewal. While this aims to provide stability to the tenant’s living situation in the short term, it is questionable whether it benefits tenants in the long term, especially when considered alongside other tenant protection measures such as the rent cap system. Moreover, the ambiguity surrounding the landlord’s right to refuse renewal based on “actual residence” does not enhance legal stability for either party. Therefore, it is crucial to establish clear and specific standards.

Childhood Environmental Instabilities and Their Behavioral Implications: A Machine Learning Approach to Studying Adverse Childhood Experiences.

Adverse childhood experiences (ACEs) include a range of abusive, neglectful, and dysfunctional household behaviors that are strongly associated with long-term health problems, mental health conditions, and societal difficulties. The study aims to uncover significant factors influencing ACEs in children aged 0-17 years and to propose a predictive model that can be used to forecast the likelihood of ACEs in children. Machine learning models are applied to identify and analyze the relationships between several predictors and the occurrence of ACEs. Key performance metrics such as AUC, F1 score, recall, and precision are used to evaluate the predictive strength of different factors on ACEs. Family structures, especially non-traditional forms such as single parenting, and the frequency of relocating to a new address are determined as key predictors of ACEs. The final model, a neural network, achieved an AUC of 0.788, a precision score of 0.683, and a recall of 0.707, indicating its effectiveness in accurately identifying ACE cases. The model's ROC and PR curves showed a high true positive rate for detecting children with two or more ACEs while also pointing to difficulties in classifying single ACE instances accurately. Furthermore, our analysis revealed the intricate relationship between the frequency of relocation and other predictive factors. The findings highlight the importance of familial and residential stability in children's lives, with substantial implications for child welfare policies and interventions. The study emphasizes the need for targeted educational and healthcare support to promote the well-being and resilience of at-risk children.

Not so Simple: Examining the Gendered Nature of Intimate Partner Assault Victimizations.

Although prior research has established a relationship between neighborhood structure and intimate partner violence (IPV), much of this literature focuses on serious IPV, despite the fact that less serious forms of IPV comprise the majority of IPV instances. Further, women are far more likely to experience all types of IPV victimization relative to men, especially simple assault, yet the relative importance of neighborhood structure across gradations of IPV and victim sex is relatively unexplored. We use data from Los Angeles, CA, and disaggregate IPV assaults across victim sex to examine whether neighborhood factors have differential effects on simple and aggravated IPV. We find differential effects of neighborhood structure by victim sex, especially for simple assault. Most notably, we find that neighborhood racial composition has significantly greater effects on females relative to male victims of simple IPV assault, while residential stability is protective of women more so than men. Only the percent of vacant or owner-occupied housing was specific to male simple IPV victimization. This suggests that neighborhood-based interventions should differ depending on the type of IPV being targeted.

The link between residential stability and youth substance use: Role of stressful life events and behavioral problems

IntroductionResidential stability is increasingly recognized as a significant factor influencing youth positive development. While the existing body of research provides valuable insights, gaps remain regarding the determinants of residential stability and how its outcomes may vary by gender and race. This study aims to investigate the relationship between residential stability, substance use, and behavioral issues among children aged 9–10 years, with a focus on the mediating role of trauma exposure. MethodsThis research utilizes data from the Adolescent Brain Cognitive Development (ABCD) study, a longitudinal project initiated in 2016 with a sample of 11,849 participants. It explores the links between residential stability, socioeconomic factors, stress, and emotional and behavioral outcomes using the Child Behavior Checklist (CBCL). Structural equation modeling was employed to analyze the data. Results findingsindicate that higher household income, living in a household with married parents, and residing in areas with greater household incomes correlate with residential stability. In turn, residential stability is linked to lower levels of life stress and reduced substance use in the future. Furthermore, the impact of residential stability on substance uses and CBCL scores was entirely mediated by trauma exposure. ConclusionsThe findings advocate for the implementation of economic, social, and public policies aimed at fostering stable living environments for children and families to mitigate the emotional and behavioral challenges future generations may face. Enhancing socioeconomic status and supporting structures that promote married family living arrangements emerge as effective strategies to improve residential stability and the well-being of young people in the United States.

Joint effects of air pollution and neighborhood socioeconomic status on cognitive decline - Mediation by depression, high cholesterol levels, and high blood pressure

Air pollution and neighborhood socioeconomic status (N-SES) are associated with adverse cardiovascular health and neuropsychiatric functioning in older adults. This study examines the degree to which the joint effects of air pollution and N-SES on the cognitive decline are mediated by high cholesterol levels, high blood pressure (HBP), and depression. In the Emory Healthy Aging Study, 14,390 participants aged 50+ years from Metro Atlanta, GA, were assessed for subjective cognitive decline using the cognitive function instrument (CFI). Information on the prior diagnosis of high cholesterol, HBP, and depression was collected through the Health History Questionnaire. Participants' census tracts were assigned 3-year average concentrations of 12 air pollutants and 16 N-SES characteristics. We used the unsupervised clustering algorithm Self-Organizing Maps (SOM) to create 6 exposure clusters based on the joint distribution of air pollution and N-SES in each census tract. Linear regression analysis was used to estimate the effects of the SOM cluster indicator on CFI, adjusting for age, race/ethnicity, education, and neighborhood residential stability. The proportion of the association mediated by high cholesterol levels, HBP, and depression was calculated by comparing the total and direct effects of SOM clusters on CFI. Depression mediated up to 87 % of the association between SOM clusters and CFI. For example, participants living in the high N-SES and high air pollution cluster had CFI scores 0.05 (95 %-CI:0.01,0.09) points higher on average compared to those from the high N-SES and low air pollution cluster; after adjusting for depression, this association was attenuated to 0.01 (95 %-CI:-0.04,0.05). HBP mediated up to 8 % of the association between SOM clusters and CFI and high cholesterol up to 5 %. Air pollution and N-SES associated cognitive decline was partially mediated by depression. Only a small portion (<10 %) of the association was mediated by HBP and high cholesterol.

Drivers of Tree Canopy Loss in a Mid-Sized Growing City: Case Study in Portland, OR (USA)

The benefits of the urban tree and tree canopy (UTC) are increasingly crucial in addressing urban sustainability. Yet, increasingly evident from earlier research is the distributional inequities of UTC and active efforts to expand tree plantings. Less is known about the dynamics of UTC loss over time and location. This study aims to understand the dynamics of UTC change, especially canopy loss, and to investigate the drivers of the loss. This study draws on a high–resolution dataset of an urban canopy in Portland, Oregon, USA, assessing changes in UTC from 2014 to 2020. By integrating demographic, biophysical, and policy data with UTC information, we use a spatial autoregressive model to identify the drivers of UTC loss. The results reveal an unexpected spatial distribution of UTC change: less gain in the neighborhoods with the least UTC, and greater loss in the neighborhoods with moderate UTC. This study identifies four primary drivers of UTC loss: socioeconomic characteristics, urban form, activities on trees, and residential status. Factors such as population density, race, and income have an impact on canopy loss, as well as the building footprint and the number of multifamily housing units; residential statuses, such as the proportion of owner-occupied housing and residential stability, impact canopy loss.

Abstract B084: Neighborhood environment and occurrence of crown-like structures in breast tissues of a diverse cohort of women with and without breast cancer

Abstract Neighborhood features have been shown to influence breast cancer risk and outcomes, but there is a lack of molecular data in this area. Our study seeks to investigate whether neighborhood deprivation factors such as employment, housing, poverty, residential stability, and residential segregation by race/ethnicity may influence the presence of inflammation in the breast, scored as crown-like structures of the breast (CLS-B). We hypothesize that high deprivation leads to an increase in inflammatory processes that promote a pro-inflammatory immune microenvironment, including CLS-B presence and the activation of cancer-related pathways, especially for Black women who often experience more aggressive tumors and worse breast cancer outcomes. Our study included 104 normal samples from reduction mammoplasty (63 Black, 41 White) and 114 tumor adjacent normal tissues (73 Black, 41 White) from the NCI-MD Breast Cancer Study. All participants completed a detailed questionnaire to capture breast cancer risk factors of interest and demographic characteristics. Tract-level socioeconomic deprivation was measured using a neighborhood deprivation index (NDI). Tissue samples underwent immunohistochemical staining for the pan-macrophage marker, CD68, in order to detect CLS-B. Pathologists used an artificial intelligence-assisted approach to score CLS-B for whole slide images. Preliminary findings in a subset of 36 participants indicate a positive association between presence of CLS-B and increased NDI scores in a linear regression model adjusted for age (b=1.29, p=0.28). This preliminary work provides an initial link between neighborhood environment and inflammatory markers within breast tissue. On-going efforts are focused on expanding our sample size to further bolster these findings, supporting future mechanistic investigations. Citation Format: Wayne Lawrence, Petra H. Lenz, Tiffany Dorsey, Stefan Ambs, Brittany Lord, Alexandra R. Harris, Jamirra G. Franklin. Neighborhood environment and occurrence of crown-like structures in breast tissues of a diverse cohort of women with and without breast cancer [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr B084.

Mining research on correlation factors of residential electricity stability based on improved FP-growth algorithm

PurposeOn the one hand, this paper is to further understand the residents' differentiated power consumption behaviors and tap the residential family characteristics labels from the perspective of electricity stability. On the other hand, this paper is to address the problem of lack of causal relationship in the existing research on the association analysis of residential electricity consumption behavior and basic information data.Design/methodology/approachFirst, the density-based spatial clustering of applications with noise method is used to extract the typical daily load curve of residents. Second, the degree of electricity consumption stability is described from three perspectives: daily minimum load rate, daily load rate and daily load fluctuation rate, and is evaluated comprehensively using the entropy weight method. Finally, residential customer labels are constructed from sociological characteristics, residential characteristics and energy use attitudes, and the enhanced FP-growth algorithm is employed to investigate any potential links between each factor and the stability of electricity consumption.FindingsCompared with the original FP-growth algorithm, the improved algorithm can realize the excavation of rules containing specific attribute labels, which improves the excavation efficiency. In terms of factors influencing electricity stability, characteristics such as a large number of family members, being well employed, having children in the household and newer dwelling labels may all lead to poorer electricity stability, but residents' attitudes toward energy use and dwelling type are not significantly associated with electricity stability.Originality/valueThis paper aims to uncover household socioeconomic traits that influence the stability of home electricity use and to shed light on the intricate connections between them. Firstly, in this article, from the perspective of electricity stability, the characteristics of the power consumption of residents' users are refined. And the authors use the entropy weight method to comprehensively evaluate the stability of electricity usage. Secondly, the labels of residential users' household characteristics are screened and organized. Finally, the improved FP-growth algorithm is used to mine the residential household characteristic labels that are strongly associated with electricity consumption stability.HighlightsThe stability of electricity consumption is important to the stable operation of the grid.An improved FP-growth algorithm is employed to explore the influencing factors.The improved algorithm enables the mining of rules containing specific attribute labels.Residents' attitudes toward energy use are largely unrelated to the stability of electricity use.

The Experience of Maternity Group Homes: A Qualitative Study of Mothers and Providers

Foster teens are particularly vulnerable to the negative consequences of pregnancy. Maternity group homes (MGHs) aim to mitigate risks and promote stability among pregnant and parenting teens. This study applied the stage-environment fit and emerging adulthood frameworks to explore MGH experiences and exit outcomes from the perspectives of residents and providers. Mothers were 18 to 25 years old. Most participants were non-Hispanic, Black (64%) with the remaining mothers identifying as Hispanic (20%) or non-Hispanic white (16%). Mothers averaged 5 years in foster care, and 75% experienced 5+ placements. Qualitative interview data were collected from mothers aging out of care with MGH experience ( N = 25) and MGH providers ( N = 16) throughout one state. Using thematic and narrative analytic techniques, emerging themes were mapped onto dominant narratives explaining circumstances entering, living in, and leaving MGHs. Mothers’ experiences were shaped by their situations leading to placement; perceptions of individualized care; and level of openness to change. These conditions shaped how they navigated the MGH environment, their exit outcomes, and subsequent residential stability. Dominant narratives indicate the importance of individualizing care and connecting house responsibilities with independence when developing relationships and delivering services.

Sequentially modeling household accommodation, destination, and departure time choices

During evacuations, households make a number of important, related choices including accommodation type, destination, and departure time. They may make trade-offs among these choices where one decision affects the others. The analysis models the linkages among these three aforementioned choices using data from a household behavioral intention survey conducted in 2017 in the Hampton Roads, VA area. Statistical tests and a theoretical basis show that the approach that best fits the dataset was to estimate the three choices in a sequence, where the first decision serves as an independent variable in the next choice process. To model the sequence, we began by modeling accommodation choice using a multinomial logit (MNL) model. Next, the accommodation choice decisions were used with other control variables to estimate destination choice in a second MNL model. Last, evacuation distance (related to destination decisions) was used in a Cox proportional-hazards model to estimate departure time choices. The models that provide the best estimates included the following control variables that help explain the sequence of decisions residents in the Hampton Roads area expect to make: (1) a variable expressing residential stability helps explain accommodation choice; (2) prior evacuation experience, the geographic location of a household, and the duration of living in the area help predict the destination choice; and (3) distance to the chosen destination helps predict departure time. Findings from this study provide evidence that the decisions associated with these three choices influence each other and help emergency managers identify additional actions that potentially can improve the evacuation experiences of local residents.

다세대주택의 효율적 관리방안

The quality of life of residents living in the house may vary depending on whether housing management is well managed. Multi-family houses are mainly inhabited by low-income households, elderly households, and young households by sale or residential ladders. However, there are no laws related to housing management like apartment houses subject to mandatory management. Therefore, the residential environment may be poor, and it may soon promote aging, which may negatively affect the residential stability of residents. On the other hand, apartment houses of a certain size or larger are required to be managed in accordance with the Apartment Housing Management Act, so they are professionally, systematically, and efficiently managed according to the management organization and management system. Therefore, not only is the residential environment pleasant, but it also delays aging and plays a significant role as an asset. This is the reason why most housing consumers prefer to live in apartments, which are apartment houses subject to mandatory management, and the reason why old city houses are converted into apartments, and low-income households are driven to the outskirts. Therefore, multi-family housing, like apartment houses subject to mandatory management, should not only preserve residents’ housing stability and their assets, but also establish and institutionalize multi-family housing management as soon as possible for the long life of the house. Therefore, in this study, we would like to propose efficient management measures for small apartment houses such as multi-family houses by deriving problems related to legal and institutional aspects related to multi-family housing management and tenant management consciousness.

How digitalisation influences neighbourhood change

Despite much research on the societal and individual consequences of new digital communication technologies, little attention has been paid to the neighbourhood as a locus of impact. This paper investigates how the growing influence of social media and real estate platforms will likely shape the process of neighbourhood change and the geographic distribution of population and financial resources. The investigation is grounded on a model of neighbourhood dynamics based on flows of households and property investments across metropolitan space, which are guided by imperfect information about housing market opportunities. Decision-makers receive information passively (increasingly through local and non-local social media) and when uncertainty about course of action becomes intolerable they turn to active search (increasingly involving online real estate platforms). Based on this conceptual framing, the article synthesises extant research to draw implications on how the expanding use of these new technologies is affecting neighbourhoods by changing the composition of decision-makers and the information that underpins their decisions. It concludes that digitalisation reduces neighbourhoods residential stability, social capital and diversity, while rendering their dwellings less well-maintained and more expensive.

‘Now what?’: An examination of ongoing gaps post-diagnosis for justice-involved youth with FASD

Fetal alcohol spectrum disorder (FASD) refers to the lifelong neurodevelopmental impacts resulting from prenatal alcohol exposure. Recent prevalence indicates it is a leading cause of developmental disability in Canada. Researchers have illustrated that the criminal justice system (CJS) is a common landing point for individuals with FASD, and entry commonly occurs during adolescence. Scholars have contributed to early intervention implementation or identifying FASD markers in adolescence to deter criminal behaviour; however, resources and information for individuals with current or historical CJS involvement require further attention. In this paper, we analyze newer research on the links between FASD and the CJS, discuss considerations from developmental perspectives and analyze salient issues involving youth with FASD. Three Canadian legal decisions involving justice-involved youth with FASD are drawn upon to mobilize three areas requiring further theorization and action regarding CJS responses to FASD. Using developmental perspectives, we centre the impacts of CJS on justice-involved youth with FASD and discuss possible resulting implications. We aim to highlight areas for further consideration when working with justice-involved youth with FASD, namely, gaps in early assessment and implementation of supports, needs to increase parent and caregiver capacity to maintain residential stability, and efforts to support desistance from crime in the context of an FASD diagnosis.

Revisiting Durkheim: Social Integration and Suicide Clusters in U.S. Counties, 2006–2019

Research dating back to Durkheim’s Suicide has linked high suicide rates to low social integration. Less research has examined community vulnerability to suicide clusters—characterized by an unusually high number of suicides in a time and place. In this study, we draw from recent qualitative research to hypothesize that social integration is positively associated with the emergence of suicide clusters, in contrast to the classic Durkheimian hypothesis. To test this hypothesis, we examine the association between three measures of social integration (divorce, Catholic adherence, and residential stability) and a novel measure of suicide clusters in 469 U.S. counties from 2006 to 2019 using data from the American Community Survey (ACS), Centers for Disease Control (CDC), and Religious Congregations and Membership Study (RCMS). We find that while social integration is negatively associated with suicide rates, social integration is positively associated with the emergence of suicide clusters. These findings shed light on the dual nature of social integration as both potentially protective and harmful for suicide.

How does the neighbourhood environment influence migrants' subjective well‐being in urban China?

AbstractThis study investigates the role of sense of place (SoP) in the relationship between the neighbourhood environment (NE) and subjective well‐being (SWB), focusing on Chinese migrants who face spatial and cultural displacement. Beyond previous research, we further consider the influence of residential length. Surveying 716 migrants in Wuhan in 2018, we explore the dynamic place mechanisms underlying the association between the NE and SWB. Our findings reveal that the physical and social aspects of the NE, particularly walkability and social integration, significantly impact migrants' SWB. Moreover, SoP mediates the relationship between the NE and SWB, highlighting the social production function of people and places in communities. Long‐term residence does not directly affect migrants' SWB, yet just indirectly influence SWB through SoP. This underscores the ongoing pertinence and significance of SoP, connecting residential stability to positive social implications. This study concludes that the place mechanism underlying the association between the NE and migrants' SWB operates both through migrants' emotional connections to a specific place (SoP) and the reinforcement of place experience resulting from a longer duration of residence. To establish inclusive communities, we propose planning and governance measures that enhance space quality, empower neighbourhoods to foster SoP, strengthen residential stability, and improve migrants' SWB.

Analyzing Gas Station Visits during Hurricane Ida: Implications for Future Fuel Supply

Fuel demand surges and supply shortages during hurricanes are problematic. However, fuel consumption and refueling behavior are not well discussed in disaster scenarios compared with the extant literature on these topics during normal conditions. This study used an emerging data source to report when fuel demand (indicated by gas station visits) deviated from a normal variation range during Hurricane Ida (a Category 4 Atlantic hurricane in 2021), how long the deviation lasted, and which area(s) experienced greater deviations. Gas station visits are likely to surge within 2 days before storm landfall, while evacuation destinations and intermediate trip connectors had longer surges. Using univariate linear regression, this study also statistically explored what factors might affect the fuel demand deviation at an aggregate level. The testing results revealed that zones of higher vehicle ownership, more daily commuters driving alone, lower residential stability, more mobile homes, and less storm impacts tended to have more gas station visits (i.e., greater fuel demand). Then, this study analyzed data at a more disaggregate level to identify the characteristics of gas stations that are more likely to have more visitors. Gas stations near interstates/highways attracted more visits, especially within 2 days before storm landfall. Gas stations farther away from interstates/highways attracted more visits after storm landfall. Overall, this study contributes to our knowledge about fuel consumption and refueling location preferences during hurricanes. These findings could help public agencies and private companies in their fuel supply planning (e.g., fuel distribution) and response (e.g., providing power generators to focal locations).