OBJECTIVE: Financial strain and unmet social needs are associated with greater risk for lower urinary tract symptoms. Little research has examined financial strain and unmet social needs in relation to the more holistic concept of bladder health. This study utilizes baseline data from RISE FOR HEALTH: A U.S. Study of Bladder Health to examine whether financial strain, unmet social needs, and meeting specific federal poverty level threshold levels are associated with lower urinary tract symptoms and poorer perceived bladder health, well-being, and function.
METHODS: Participants were 18 years or older, born female or currently identified as a woman, and from the civilian, noninstitutionalized population residing in 50 counties in the United States that included or surrounded nine recruitment centers. Data were collected through mailed or internet-based surveys. To address research questions, the 10-item Lower Urinary Tract Dysfunction Research Network Symptom Index and selected Prevention of Lower Urinary Tract Symptoms Research Consortium bladder health scores were separately regressed on each financial strain, unmet social need, and federal poverty level variable, using linear regression adjusting for covariates (age, race/ethnicity, education, and vaginal parity) and robust variance estimation for confidence intervals. Participants with no missing data for a given analysis were included (range of n=2,564 to 3,170). In separate sensitivity analyses, body mass index, hypertension, and diabetes were added as covariates and missing data were imputed.
RESULTS: The mean age of participants was 51.5 years (standard deviation=18.4). Not having enough money to make ends meet, housing insecurity, food insecurity, unreliable transportation, and percent federal poverty levels of 300% or less were consistently associated with more reported lower urinary tract symptoms and poorer perceived bladder health. For example, compared to food secure participants, women who worried that their food would run out at the end of the month had a Lower Urinary Tract Dysfunction Research Network - Symptom Index score that was 3.4 points higher (95% CI: 2.5, 4.3), on average. They also had lower mean scores across different bladder health measures, each assessed using a 100-point scale: global bladder health (-8.2, 95% CI: -10.8,-5.7), frequency (-10.2, 95% CI: -13.8,-6.7), sensation (-11.6, 95% CI: -15.1,-8.2), continence (-13.3, 95% CI: -16.7,-9.9), and emotional impact of bladder health status (-13.2, 95% CI: -16.5,-9.9). Across analyses, associations largely remained significant after additional adjustment for body mass index, hypertension, and diabetes. The pattern of results when imputing missing data was similar to that observed with complete case analysis; all significant associations remained significant with imputation.
CONCLUSIONS: Financial strain and unmet social needs are associated with worse LUTS and poorer bladder health. Longitudinal research is needed to examine whether financial strain and unmet social needs influence the development, maintenance, and worsening of lower urinary tract symptoms; different mechanisms by which financial strain and unmet social needs may impact symptoms; and the degree to which symptoms contribute to financial strain. If supported by etiologic research, prevention research can be implemented to determine whether the amelioration of financial strain and social needs, including enhanced access to preventative care, may promote bladder health across the life course.

BACKGROUND: Housing insecurity is rising among older adults; health researchers know little about how this may impact their cognitive health. We investigated links between foreclosure and older adults\' memory and probability of dementia.
METHODS: Using the Health and Retirement Study (2008 to 2018), we fit mixed models comparing the memory and dementia probability scores of 249 older adults who experienced foreclosure (treated) with 15,645 who did not. Baseline covariates included sociodemographics, health, and cognition. Models were stratified by age group.
RESULTS: Foreclosure was associated with faster memory decline among middle-aged (50 to 64) older adults (-0.007 standard deviations/year, 95% confidence interval: -0.13, -0.001). Compared to average memory decline among middle-aged older adults who were stably housed, foreclosure equated to 3.7 additional years of aging over 10 years. Among those 65+, differences between those who were and were not foreclosed upon were short-lived and less clear, potentially driven by depletion-of-susceptibles bias.
CONCLUSIONS: Foreclosure may endanger older adults\' memory.
CONCLUSIONS: Housing instability is a key determinant of cognitive aging. We examined foreclosure and levels and changes in memory and dementia probability scores in the US older adult population. Foreclosure was associated with faster memory decline among middle-aged (50 to 64) older adults, equivalent to 3.7 additional years of cognitive aging over 10 years. Foreclosure yielded sharp memory declines and increases in dementia probability among older adults 65 and above. Foreclosure imposes a greater risk for older adults\' cognitive decline.

UNASSIGNED: Homelessness during pregnancy contributes to adverse pregnancy and infant outcomes from birth through early childhood. Washington, DC, a microcosm of structural inequities in the United States, has persistent racial disparities in perinatal outcomes and housing insecurity.
UNASSIGNED: Grounded in a reproductive justice framework, we explored the lived experience of navigating homelessness assistance while pregnant to inform recommendations for a collaborative policy and practice change effort. We conducted 20 individual interviews with DC residents who experienced homelessness during pregnancy. We analyzed the data using thematic analysis and an action-oriented approach.
UNASSIGNED: Our analysis resulted in three main recommendation areas for policy and practice change: (1) timely and meaningful access to safe and stable housing in pregnancy; (2) care coordination for services and referrals that support physical, mental, and social well-being; and (3) access to a living wage and affordable housing.
UNASSIGNED: Access to stable housing is critical to ensure that pregnant and parenting people can have and raise children in a safe and sustainable environment-key tenets of reproductive justice. Housing support must be meaningfully accessible, including service delivery that accommodates the complex social histories and competing demands that accompany housing insecurity.
UNASSIGNED: This study informed the development of strategic recommendations, catalyzed a new model for multisector collaboration, and influenced a system-wide practice change to expand access to robust housing supports for pregnant people. Policy and practice change require sustained leveraging of political will to promote economic justice and ensure that residents can achieve safe, sustainable, and affordable housing.

OBJECTIVE: (1) To estimate the association of social risk factors with unplanned readmission and emergency care after a hospital stay. (2) To create a social risk scoring index.
METHODS: We analyzed administrative data from the Department of Veterans Affairs (VA) Corporate Data Warehouse. Settings were VA medical centers that participated in a national social work staffing program.
METHODS: We grouped socially relevant diagnoses, screenings, assessments, and procedure codes into nine social risk domains. We used logistic regression to examine the extent to which domains predicted unplanned hospital readmission and emergency department (ED) use in 30 days after hospital discharge. Covariates were age, sex, and medical readmission risk score. We used model estimates to create a percentile score signaling Veterans\' health-related social risk.
METHODS: We included 156,690 Veterans\' admissions to a VA hospital with discharged to home from 1 October, 2016 to 30 September, 2022.
RESULTS: The 30-day rate of unplanned readmission was 0.074 and of ED use was 0.240. After adjustment, the social risks with greatest probability of readmission were food insecurity (adjusted probability = 0.091 [95% confidence interval: 0.082, 0.101]), legal need (0.090 [0.079, 0.102]), and neighborhood deprivation (0.081 [0.081, 0.108]); versus no social risk (0.052). The greatest adjusted probabilities of ED use were among those who had experienced food insecurity (adjusted probability 0.28 [0.26, 0.30]), legal problems (0.28 [0.26, 0.30]), and violence (0.27 [0.25, 0.29]), versus no social risk (0.21). Veterans with social risk scores in the 95th percentile had greater rates of unplanned care than those with 95th percentile Care Assessment Needs score, a clinical prediction tool used in the VA.
CONCLUSIONS: Veterans with social risks may need specialized interventions and targeted resources after a hospital stay. We propose a scoring method to rate social risk for use in clinical practice and future research.

BACKGROUND: How housing insecurity might affect patients with heart failure (HF) is not well characterized. Housing insecurity increases risks related to both communicable and noncommunicable diseases. For patients with HF, housing insecurity is likely to increase the risk for worse outcomes and rehospitalizations.
RESULTS: We analyzed hospitalizations due to HF in the United States by using the 2020 National Inpatient Sample and Nationwide Readmissions Database to evaluate the impacts of housing insecurity on HF outcomes and hospital use. Individuals were identified as having housing insecurity by using diagnostic International Classification of Disease (ICD)-10 codes. Demographics and comorbidities were compared between patients with HF with and without housing insecurity. An adjusted logistic regression was performed to evaluate the relationships between housing insecurity and socioeconomic status on in-hospital mortality. Using a Cox proportional hazards model, patients with HF and without housing insecurity were evaluated for the risk of all-cause and HF-specific readmissions over time. Of the 1,003,270 hospitalizations for HF in the U.S. in 2020, 16,150 were identified as having housing insecurity (1.6%), and 987,120 were identified as having no housing insecurity (98.4%). The median age of patients with housing insecurity who were hospitalized for HF was 57, as compared to 73 in the population with no housing insecurity. A higher proportion of patients in the housing-insecurity group were Black (35% vs 20.1%) or Hispanic (11.1% vs 7.3%). Patients with housing insecurity were more likely to carry a diagnosis of alcohol-use disorder (15.2% vs 3.3%) or substance-use disorder (70.2% vs 17.8%) but were less likely to use tobacco (18.3% vs 28.7%). Patients with housing insecurity were over 4.5 times more likely to have Medicaid (52.4% vs 11.3%). Median length of stay did not differ between patients with housing insecurity vs those without it. Patients with housing insecurity were more likely to discharge against medical advice (11.4% vs 2.03%). After adjusting for patients\' characteristics, housing insecurity was associated with lower in-hospital mortality rates (OR 0.60, 95% CI 0.39-0.92). Housing insecurity was associated with a higher risk of all-cause readmissions at 180 days (HR 1.13, 95% CI 1.12-1.14). However, there was no significant difference in the risk of HF-specific readmissions at 180 days (HR 1.07, 95% CI 0.998-1.14) CONCLUSIONS: Patients with HF and housing insecurity have distinct demographic characteristics. They are also more likely to be readmitted after their initial hospitalization when compared to those without housing insecurity. Identifying and addressing specific comorbid conditions for patients with housing insecurity who are hospitalized for HF may allow clinicians to provide more focused care, with the goal of preventing morbidity, mortality and unnecessary readmissions.

In recent decades, a growing proportion of college students have experienced financial stress, resulting in unmet essential needs including food insecurity, housing instability, lack of healthcare access, and inadequate mental health treatment. Given that urban-based public universities constitute a substantial proportion of the US college student population, understanding how unmet needs affect academic achievement in this population is crucial for developing strategies that alleviate college failure and dropout. We examined the cumulative impact of unmet essential needs (scored from 0 to 4) on indicators of college attrition (dropout, leave of absence, risk of academic probation). The sample comprised a college population-representative sample of 1833 students attending one of three urban public colleges in the Bronx, NY. Employing adjusted multinomial and binomial logistic regression models, we assessed how total unmet essential needs predict any indicator of college attrition. Each unit increase in unmet need increased the odds of having any attrition indicator by 29% (p < 0.01). Students with two unmet needs had 43% greater odds (p < 0.01), students with three unmet needs had 57% greater odds (p < 0.01), and students with four unmet needs had 82% greater odds (p < 0.01) of having any attrition indicator compared to those without unmet needs. Findings revealed a modest dose-response relationship between the number of unmet needs and the likelihood of experiencing indicators of attrition, suggesting a cumulative impact of unmet needs on students\' ability to persist to graduation. Designing interventions aimed at college students with multiple unmet essential needs, and addressing these needs holistically, may assist student retention and graduation.

BACKGROUND: The intersection between perinatal mental health and the coronavirus disease 2019 (COVID-19) pandemic remains of significant public health importance. The current study examined the emotional and financial well-being and predictors of elevated depressive symptoms among pregnant women during the COVID-19 pandemic.
METHODS: This online survey was conducted with 2118 women ≥18 years old who were pregnant at the time of the survey and living in the United States or Puerto Rico. Depressive symptoms were assessed with the Center for Epidemiologic Studies Depression Scale, with scores ≥10 indicative of elevated depressive symptoms. The final logistic regression model included housing insecurity, financial distress, COVID-19 diagnosis, exposure to COVID-19, and demographic covariates.
RESULTS: More than half the sample (53.8%) had elevated depressive symptoms. In logistic regression analyses, the odds of having elevated depressive symptoms were significantly higher for participants reporting housing insecurity (adjusted odds ratio [aOR], 1.56; 95% CI, 1.22-2.01), financial distress (aOR, 1.57; 95% CI, 1.17-2.12), COVID-19 diagnosis (aOR, 2.53; 95% CI, 1.53-4.17), and COVID-19 exposure (aOR, 1.41; 95% CI, 1.07-1.86), after adjusting for covariates. The association of elevated depressive symptoms with housing insecurity was especially strong among those who experienced COVID-19 (aOR, 6.04; 95% CI, 2.15-17.0).
CONCLUSIONS: Our findings are consistent with previous literature revealing that diagnosis, exposure, concerns about family, and effects on financial stability were related to depressive symptoms during the pandemic. The relationships between financial and housing concerns with elevated depressive symptoms, independent of concerns about infection in family members, suggest that there may be direct and indirect effects of the pandemic on mental health.

One in three children in the United States is exposed to insecure housing conditions, including unaffordable, inconsistent, and unsafe housing. These exposures have detrimental impacts on youth mental health. Delineating the neurobehavioral pathways linking exposure to housing insecurity with children\'s mental health has the potential to inform interventions and policy. However, in approaching this work, carefully considering the lived experiences of youth and families is essential to translating scientific discovery to improve health outcomes in an equitable and representative way. In the current paper, we provide an introduction to the range of stressful experiences that children may face when exposed to insecure housing conditions. Next, we highlight findings from the early-life stress literature regarding the potential neurobehavioral consequences of insecure housing, focusing on how unpredictability is associated with the neural circuitry supporting cognitive and emotional development. We then delineate how community-engaged research (CEnR) approaches have been leveraged to understand the effects of housing insecurity on mental health, and we propose future research directions that integrate developmental neuroscience research and CEnR approaches to maximize the impact of this work. We conclude by outlining practice and policy recommendations that aim to improve the mental health of children exposed to insecure housing.

The purpose of this literature review is to evaluate the extant research addressing food insecurity and mental health among street-involved 2S/LGBTQI+ youth in Canada. Searches were undertaken in academic databases, Google, and Google Scholar for relevant research articles, reports, and grey literature. Our team found nil research specifically addressing food insecurity and the mental health of street-involved 2S/LGBTQI+ youth in Canada. Given that, contextual and contributory factors affecting the mental health and food security of this population are discussed. The available research demonstrates a significant misalignment between the existing support mechanisms and the requirements of this specific population. This underscores the urgent necessity for the establishment of structurally competent, safe, and easily accessible resources. Moreover, there is a clear imperative for additional research endeavors aimed at addressing knowledge deficiencies. These efforts are crucial in empowering dietitians to facilitate enhanced interdisciplinary collaboration, thereby fostering the creation of sustainable, accessible, and appropriate food systems tailored to the needs of this vulnerable demographic.

BACKGROUND: Cancer survivors may face challenges affording food, housing, and other living necessities, which are known as health-related social needs (HRSNs). However, little is known about the associations of HRSNs and mortality risk among adult cancer survivors.
METHODS: Adult cancer survivors were identified from the 2013-2018 National Health Interview Survey (NHIS) and linked with the NHIS Mortality File with vital status through December 31, 2019. HRSNs, measured by food insecurity, and nonmedical financial worries (e.g., housing costs), was categorized as severe, moderate, and minor/none. Medical financial hardship, including material, psychological, and behavioral domains, was categorized as 2-3, 1, or 0 domains. Using age as the time scale, the associations of HRSNs and medical financial hardship and mortality risk were assessed with weighted adjusted Cox proportional hazards models.
RESULTS: Among cancer survivors 18-64 years old (n = 5855), 25.5% and 18.3% reported moderate and severe levels of HRSNs, respectively; among survivors 65-79 years old (n = 5918), 15.6% and 6.6% reported moderate and severe levels of HRSNs, respectively. Among cancer survivors 18-64 years old, severe HRSNs was associated with increased mortality risk (hazards ratio [HR], 2.00; 95% confidence interval [CI], 1.36-2.93, p < .001; reference = minor/none) in adjusted analyses. Among cancer survivors 65-79 years old, 2-3 domains of medical financial hardship was associated with increased mortality risk (HR, 1.58; 95% CI, 1.13-2.20, p = .007; reference = 0 domain).
CONCLUSIONS: HSRNs and financial hardship are associated with increased mortality risk among cancer survivors; comprehensive assessment of HRSN and financial hardship connecting patients with relevant services can inform efforts to mitigate adverse consequences of cancer.