Housing and Neighborhoods as Root Causes of Child Poverty

Trajectories of Housing Insecurity From Infancy to Adolescence and Adolescent Health Outcomes

BACKGROUND AND OBJECTIVES

Housing insecurity is associated with adverse effects on child growth and development cross-sectionally; less is known about its cumulative, long-term effects. This study describes longitudinal experiences of housing insecurity during childhood from infancy (age 1 year) to adolescence (age 15 years) and examines their associations with adolescent health outcomes.

METHODS

Using data from the Future of Families and Child Wellbeing Study, we created a composite measure of housing insecurity using 5 indicators (eg, skipping a rent or mortgage payment, eviction) for participants at ages 1, 3, 5, 9, and 15 years. We used group-based trajectory modeling to identify distinct patterns of housing insecurity, sociodemographic predictors of these patterns, and how these patterns relate to adolescent health outcomes.

RESULTS

We identified 3 trajectories of housing insecurity from infancy to adolescence: secure, moderately insecure, and highly insecure. Adolescents who experienced moderately and highly insecure housing had decreased odds of excellent health (adjusted odds ratio, 0.81; 95% confidence interval [CI], 0.69-0.95; adjusted odds ratio, 0.67; 95% CI, 0.50-0.92, respectively) and more depressive symptoms (adjusted incidence rate ratio, 1.05; 95% CI, 1.02-1.08; 1.13; 95% CI, 1.08-1.19, respectively) than adolescents with secure housing. Adolescents who experienced highly insecure housing reported significantly higher anxiety symptoms (adjusted incidence rate ratio, 1.05; 95% CI, 1.003-1.113).

CONCLUSIONS

Housing insecurity starting in infancy was associated with poorer adolescent health outcomes. These longitudinal patterns emphasize the need for novel screening mechanisms to identify housing insecurity when it emerges, as well as policies to prevent housing insecurity and its associated health outcomes.

Prevalence and Correlates of Unstable Housing Among US Children

Importance

Housing instability is an important public health issue, particularly for children. This study provides nationally representative estimates of unstable housing among US children.

Objective

To examine unstable housing prevalence; differences by sociodemographic characteristics, health, and state of residence; and associations with other hardships.

Design, Setting, and Participants

This survey study examined data from the 2022 National Survey of Children's Health, a population-based, nationally representative survey of randomly selected children whose parent or caregiver responded to an address-based mail or web-based survey. Participants were children aged 0 to 17 years living in households in the 50 US states and District of Columbia (N = 54 103). Bivariate analyses tested for observed differences in unstable housing between groups; logistic regression models tested for significant disparities. Associations between unstable housing and health care and food-related hardships, neighborhood conditions, and adverse childhood experiences were examined.

Exposure

Unstable housing experiences.

Main Outcomes and Measures

Unstable housing, comprising 3 indicators: inability to pay mortgage or rent on time in the past 12 months, 2 or more moves in the past 12 months, and homelessness in the child's lifetime. Analyses were adjusted for child age and family poverty ratio. Secondary analyses examine caregiver-reported stress or worry about eviction, foreclosure, or condemned housing in the past 12 months. Weighted prevalence estimates accounted for probability of selection and nonresponse.

Results

In 2022, 17.1% (95% CI, 16.4%-17.8%) of children living in US households, representing more than 12.1 million children, experienced 1 or more forms of unstable housing: 14.1% (95% CI, 13.4%-14.7%) lived in households that were unable to pay mortgage/rent, 2.9% (95% CI, 2.6%-3.3%) moved frequently, and 2.5% (95% CI, 2.2%-2.8%) experienced lifetime homelessness. Additionally, 9.0% (95% CI, 8.5%-9.5%) of children had caregivers who reported stress/worry over housing. Prevalence of unstable housing varied across states (range, 12.0%-26.6%). Unstable housing was highest among American Indian or Alaska Native children (27.9%; 95% CI, 21.3%-35.6%), Black or African American children (30.4%; 95% CI, 27.8%-33.1%), and Native Hawaiian or Pacific Islander children (27.6%; 95% CI, 16.6%-42.1%) and also differed by special health care needs, family poverty ratio, caregiver education and unemployment status, and whether the family rented or owned their home. Unstable housing was associated with all other types of hardships examined.

Conclusions and Relevance

This study found that 1 in 6 US children experienced unstable housing, varying by state and sociodemographic factors. The prevalence is likely underestimated because the sample excluded children who are currently institutionalized or experiencing homelessness. Results may help move the field toward a unified national definition of unstable housing for families with children and lead to clinically appropriate and evidence-based screening and interventions to support housing stability and improve children's health.

Burden and trajectory of social needs after breast cancer diagnosis at a safety-net hospital

PURPOSE

Unmet social needs pose barriers to cancer care, contributing to adverse outcomes and health inequities. A better understanding of how social needs change after cancer diagnosis can inform more effective, equity-focused interventions.

METHODS

In this study, we examined self-reported social needs at 0, 3, and 6 months after a breast cancer diagnosis in a racially diverse, multilingual sample (n = 222) enrolled in patient navigation intervention at an urban safety-net hospital. At each timepoint, respondents completed surveys about social needs related to employment, disability benefits, housing and utilities, and personal and family stability.

RESULTS

Over three-quarters (78%, n = 175) reported ≥ 1 social need, and 46% (n = 102) reported ≥ 3 social needs. The most frequently reported need was housing and utilities (64%, n = 142), followed by employment (40%, n = 90). Individuals from minoritized groups more frequently reported an increased number of social needs over time, compared with their White counterparts (p = 0.02).

CONCLUSION

Our findings suggest that despite navigation, many cancer patients from historically underrepresented populations continue to experience social concerns over the first 6 months of treatment. Further research, conducted with historically underrepresented populations in research, is needed to better understand the social needs of breast cancer patients to inform effective and equitable interventions.

Place-Based Measures of Inequity and Vision Difficulty and Blindness

Importance

Known social risk factors associated with poor visual and systemic health in the US include segregation, income inequality, and persistent poverty.

Objective

To investigate the association of vision difficulty, including blindness, in neighborhoods with measures of inequity (Theil H index, Gini index, and persistent poverty).

Design, Setting, and Participants

This cross-sectional study used data from the 2012-2016 American Community Survey and 2010 US census tracts as well as Theil H index, Gini index, and persistent poverty measures from PolicyMap. Data analysis was completed in July 2023.

Main Outcomes and Measures

The main outcome was the number of census tract residents reporting vision difficulty and blindness (VDB) and the association with the Theil H index, Gini index, or persistent poverty, assessed using logistic regression.

Results

In total, 73 198 census tracts were analyzed. For every 0.1-unit increase in Theil H index and Gini index, there was an increased odds of VDB after controlling for census tract-level median age, the percentage of the population that identified as female sex, the percentage of the population that identified as a member of a racial or ethnic minority group, state, and population size (Theil H index: odds ratio [OR], 1.14 [95% CI, 1.14-1.14; P < .001]; Gini index: OR, 1.15 [95% CI, 1.15-1.15; P < .001]). Persistent poverty was associated with an increased odds of VDB after controlling for census tract-level median age, the percentage of the population that identified as female sex, the percentage of the population that identified as a member of a racial or ethnic minority group, state, and population size compared with nonpersistent poverty (OR, 1.36; 95% CI, 1.35-1.36; P < .001).

Conclusions and Relevance

In this cross-sectional study, residential measures of inequity through segregation, income inequality, or persistent poverty were associated with a greater number of residents living with VDB. It is essential to understand and address how neighborhood characteristics can impact rates of VDB.

Health equity: A concept analysis

BACKGROUND

Although health equity is critically important for healthcare delivery, there are inconsistencies in its definitions or lack of definitions.

PURPOSE

Develop a comprehensive understanding of health equity to guide nursing practice and healthcare policy.

METHOD

Walker and Avant's concept analysis method was used to establish defining attributes, antecedents, consequences, and empirical referents of health equity.

FINDINGS

Health equity defining attributes are grounded in ethical principles, the absence of unfair and avoidable differences, and fair and just opportunities to attain a person's full health potential. Health equity antecedents are categorized into environmental; financial or economic; law, politics, and policy; societal and structural; research; and digital and technology.

DISCUSSION

Health equity's antecedents are useful to distinguish health disparities from health outcomes resulting from individual preferences. To achieve health equity, organizations need to focus on addressing the antecedents.

Racial Residential Segregation and the Health of Black Youth With Type 1 Diabetes

OBJECTIVES

Black youth with type 1 diabetes (T1D) are at heightened risk for suboptimal glycemic control. Studies of neighborhood effects on the health of youth with T1D are limited. The current study investigated the effects of racial residential segregation on the diabetes health of young Black adolescents with T1D.

METHODS

A total of 148 participants were recruited from 7 pediatric diabetes clinics in 2 US cities. Racial residential segregation (RRS) was calculated at the census block group level based on US Census data. Diabetes management was measured via self-report questionnaire. Hemoglobin A1c (HbA1c) information was gathered from participants during home-based data collection. Hierarchical linear regression was used to test the effects of RRS while controlling for family income, youth age, insulin delivery method (insulin pump versus syringe therapy), and neighborhood adversity.

RESULTS

HbA1c was significantly associated with RRS in bivariate analyses, whereas youth-reported diabetes management was not. In hierarchical regression analyses, whereas family income, age, and insulin delivery method were all significantly associated with HbA1c in model 1, only RRS, age, and insulin delivery method were significantly associated with HbA1c in model 2. Model 2 explained 25% of the variance in HbA1c (P = .001).

CONCLUSIONS

RRS was associated with glycemic control in a sample of Black youth with T1D and accounted for variance in HbA1c even after controlling for adverse neighborhood conditions. Policies to reduce residential segregation, along with improved screening for neighborhood-level risk, hold the potential to improve the health of a vulnerable population of youth.

An investigation of Head Start preschool children's executive function, early literacy, and numeracy learning in the midst of the COVID-19 pandemic

The COVID-19 pandemic's impact on preschool children's school readiness skills remains understudied. This research investigates Head Start preschool children's early numeracy, literacy, and executive function outcomes during a pandemic-affected school year. Study children (N = 336 assessed at fall baseline; N = 237-250 assessed in spring depending on outcome; fall baseline sample: mean age = 51 months; 46% Hispanic; 36% Black Non-Hispanic; 52% female) in a network of Head Start centers in four states (Nevada, New Jersey, Pennsylvania, and Wisconsin) experienced low in-person preschool exposure compared to national pre-pandemic norms. Children experienced fall to spring score gains during the pandemic-affected year of 0.05 SD in executive function, 0.27 SD in print knowledge, and 0.45-0.71 SD in early numeracy skills. Descriptively, for two of the three early numeracy domains measured, spring test score outcomes were stronger among children who attended more in-person preschool. We discuss implications for future research and policy.

Child Tobacco Smoke Exposure, Indoor Home Characteristics, and Housing Stability among a National Sample of U.S. Children

(1) Objectives: To examine the associations of child tobacco smoke exposure (TSE) with home quality and housing instability. (2) Methods. A secondary analysis of 32,066 U.S. 0-11-year-old children from the 2018-2019 National Survey of Children's Health was conducted. Child home TSE status was defined as: no TSE: child lived with no smokers; thirdhand smoke (THS) exposure only: child lived with a smoker(s) who did not smoke indoors; and secondhand smoke (SHS) and THS exposure: child lived with a smoker(s) who smoked indoors. Home quality was assessed by the presence of mold or pesticide use and housing instability was assessed by home ownership, frequency of moves, and number of household members. We conducted weighted multivariable logistic regression and linear regression models while adjusting for important child covariates. (3) Results: In total, 12.3% had home THS exposure only and 1.6% had home SHS and THS exposure. Compared to children with no home TSE, children with home SHS and THS exposure were 2.60 times more likely (95%CI = 1.73, 3.92) to have mold inside their homes; 1.57 times more likely (95%CI = 1.09, 2.26) to live in homes where pesticides were used ≥1 time during the past 12-months; and more likely to have more frequent moves (β = 1.06, 95%CI = 0.62, 1.50). (4) Conclusions: Children with home TSE have higher rates of mold, pesticide use, frequent moves, and household members compared to children with no home TSE. Children with TSE should also be screened for home quality and housing instability and provided with appropriate interventions and resources.

Eviction and Household Health and Hardships in Families With Very Young Children

BACKGROUND

Families with versus without children are at greater eviction risk. Eviction is a perinatal, pediatric, and adult health concern. Most studies evaluate only formal evictions.

METHODS

Using cross-sectional surveys of 26 441 caregiver or young child (<48 months) dyads from 2011 to 2019 in emergency departments (EDs) and primary care clinics, we investigated relationships of 5 year history of formal (court-involved) and informal (not court-involved) evictions with caregiver and child health, history of hospitalizations, hospital admission from the ED on the day of the interview, and housing-related and other material hardships.

RESULTS

3.9% of 26 441 caregivers reported 5 year eviction history (eviction), of which 57.0% were formal evictions. After controlling for covariates, we found associations were minimally different between formal versus informal evictions and were, therefore, combined. Compared to no evictions, evictions were associated with 1.43 (95% CI: 1.17-1.73), 1.55 (95% confidence interval [CI]: 1.32-1.82), and 1.24 (95% CI: 1.01-1.53) times greater odds of child fair or poor health, developmental risk, and hospital admission from the ED, respectively, as well as adverse caregiver and hardship outcomes. Adjusting separately for household income and for housing-related hardships in sensitivity analyses did not significantly alter results, although odds ratios were attenuated. Hospital admission from the ED was no longer significant.

CONCLUSIONS

Demonstrated associations between eviction and health and hardships support broad initiatives, such as housing-specific policies, income-focused benefits, and social determinants of health screening and community connections in health care settings. Such multifaceted efforts may decrease formal and informal eviction incidence and mitigate potential harmful associations for very young children and their families.