Health implications of social networks for children living in public housing

Social network of malnourished children and its association with family’s food and nutritional security

Abstract Objectives: evaluate the relationship between family’s food and nutrition insecurity (FNI) and the social network of malnourished children. Methods: cross-sectional study with 92 children, included in the economic class D-E. For the analysis of the children’s social network, the mothers answered four simple questions. To investigate the FNI, the Brazilian Scale of Food Insecurity was used. The association between variables was analyzed by Poisson regression with robust analysis of variances. Results: 56.5% of the children had a weak social network (<10 individuals), and the prevalence of FNI was 72.8%. An inverse association was observed between children of the daily social network and FNI family (OR=0.94; CI95%=0.89-0.99], p=0.03). The number of individuals in the children’s daily social network was negatively associated with the likelihood of FNI. The mother’s educational level was also related to FNI (OR=2.20 [CI95%=1.11-4.34]; p=0.02), being the child up to 2.2 times more likely to be in FNI when the mother has less than four years of study. Conclusion: these results suggest that social network is associated with the FNI of malnourished children. Interventions designed to strengthen instrumental and other forms of support among small social networks can improve the health/nutrition of malnourished children with FNI.

Association Between Rental Assistance Programs and Hemoglobin A1c Levels Among US Adults

Importance

Programs that provide affordable and stable housing, such as federal rental assistance, may be associated with improved mean blood glucose levels and related diabetes outcomes.

Objective

To assess whether 2 different types of federal rental assistance programs are associated with glycated hemoglobin A1c (HbA1c) levels among middle-aged and older US adults.

Design, Setting, and Participants

This cohort study used data from the National Health and Nutrition Examination Survey (NHANES) linked with US Department of Housing and Urban Development records of rental assistance participation. Adults aged 45 years or older who were receiving 2 types of rental assistance (project-based housing or housing vouchers) at the time of the NHANES interview and those who would receive rental assistance within the subsequent 2 years (waitlist group) were included. Data were collected from January 1999 to December 2016 and analyzed in October 2021.

Exposures

Rental assistance participation, including project-based housing (subsidized housing developments including public housing) and housing vouchers (tenant-based subsidies for private market housing).

Main Outcomes and Measures

The primary outcome was continuous HbA1c level, a common measure of blood glucose reflecting diabetes control. Linear regression was used to estimate the association between the 2 rental assistance programs and HbA1c level. Logistic regression was used to assess the association between rental assistance programs and HbA1c cut points (prediabetes: 5.7% to ≤6.5%; diabetes: >6.5%; uncontrolled diabetes: ≥9% [to convert to proportion of total Hb, multiply by 0.01]). Analyses used weights created by the National Center for Health Statistics that adjust for linkage eligibility.

Results

Among 1050 adults in the study (41.6% aged ≥65 years; 70.1% female), 795 were receiving rental assistance at time of the NHANES interview (450 lived in project-based housing, and 345 had housing vouchers), and 255 received rental assistance within 2 years after the interview. Participants in project-based housing had lower HbA1c levels compared with individuals in the waitlist group (β, -0.290; 95% CI, -0.599 to 0.020), but the difference was not significant. No significant differences in HbA1c levels were found between those receiving housing vouchers and those in the waitlist group (β, 0.051; 95% CI, -0.182 to 0.284). Receiving project-based housing was associated with a reduced likelihood of uncontrolled diabetes (-3.7 percentage points; 95% CI, -7.0 to -0.0 percentage points) compared with being in the waitlist group.

Conclusions and Relevance

In this cohort study of a nationally representative sample of US adults, living in project-based, federally subsidized housing was associated with a reduced likelihood of uncontrolled diabetes. The findings suggest that affordable housing programs may be associated with improved diabetes outcomes.

Does Public Housing Increase the Risk of Child Health Problems? Evidence from Linked Survey-Administrative Data

Research on the effects of major federal housing assistance programs on children's outcomes has produced mixed results. Although housing assistance programs provide one of the few sources of affordable and stable housing for low-income families, there remains concern that living in public housing developments increases the risk of poor health for children. This paper uses a unique survey-administrative linked dataset to examine the effect of living in public housing on children's risk of health problems, including frequent diarrhea, frequent headaches, skin allergies, asthma, and fair/poor health status. Children living in public housing have substantially more health problems than children who do not live in public housing. However, the analysis develops several additional comparison groups to demonstrate that the excess health problems reflect unobserved selection into public housing. The main selection adjustment compares children living in public housing to children who enter public housing in the near future. Results indicate that public housing does not increase the risk of child health problems, and it is important to consider the substantial selection into public housing on factors that are likely to be correlated with children's outcomes. The broad effects of public housing may be mixed, but policymakers should not confuse the economic and health challenges of public housing residents for the effects of the program itself.

Physical Activity in Youth with Multiple Sclerosis receiving the ATOMIC intervention: Social connectedness above all else

BACKGROUND

Within the pediatric MS population, physical activity (PA) has been associated with positive health outcomes such as lower lesion and relapse rates (Grover et. al., 2015). Recently, associations between variables from a social-cognitive theory (SCT) and levels of PA in youth with multiple sclerosis have been reported (Sikes & Motl, 2020), suggesting a SCT-based intervention may be efficacious in changing PA. We developed and delivered a 12-week SCT-based intervention and sought to gain an understanding of youth's perspectives on PA over time.

METHODS

We performed a qualitative analysis on 34 coaching call transcripts from 13 participants as part of a theory-based intervention promoting PA in youth with MS (NCT03137602). Coaching calls were semi-structured and each participant was scheduled to have three coaching calls spaced monthly for three months. We used an inductive content analysis approach to analyze the data (Elo and Kyngas, 2008).

RESULTS

General themes from the calls aligned with the SCT constructs. Youth consistently discussed facilitators for changing PA over time, including a positive attitude, goal setting and social connectedness. There was increasing conversation around PA barriers over time including the environment and a lack of time.

CONCLUSION

Youth perceptions on PA can be either positive or negative and can change over time. There is an underlying emergence and importance of social connectedness within PA behaviours. Increases in coaching call content related to goal setting suggest a positive effect of coaching and SCT in these areas. Future studies will focus on interactions between SCT constructs, particularly social connectedness and increased physical activity.

Social network factors and cardiovascular health among baltimore public housing residents

Social networks - or the web of relationships between individuals - may influence cardiovascular disease risk, particularly in low-income urban communities that suffer from a high prevalence of cardiovascular disease. Our objective was to describe the social networks of public housing residents - a low-income urban population - in Baltimore, MD and the association between these networks and blood pressure. We used cross-sectional survey data of randomly selected heads of household in two public housing complexes in Baltimore, MD (8/2014-8/2015). Respondents answered questions about 10 social network members, including attributes of their relationship and the frequency of interaction between members. We calculated measures of network composition (e.g., proportion of network members who were family members) and network structure (e.g., density), which we then dichotomized as "high" (upper quartile) and "low" (less than upper quartile). We used linear regression to test the association between network measures and mean systolic and diastolic blood pressure. The sample included 259 respondents (response rate: 46.6%). Mean age was 44.4 years, 85.7% were women, 95.4% Black, and 56.0% had a history of hypertension. A high proportion of older children (age 8-17 years) in the network (>30%) was associated with a 4.0% (95%CI [0.07, 8.07], p = 0.047) higher mean systolic blood pressure (~4.9 mmHg greater). Other network attributes had no association with blood pressure. Social network attributes, such as having a high proportion of older children in one's network, may have particular relevance to blood pressure among low-income public housing residents, reinforcing the potential importance of social relationships to cardiovascular health.

A scalable online tool for quantitative social network assessment reveals potentially modifiable social environmental risks

Social networks are conduits of support, information, and health behavior flows. Existing measures of social networks used in clinical research are typically summative scales of social support or artificially truncated networks of ≤ 5 people. Here, we introduce a quantitative social network assessment tool on a secure open-source web platform, readily deployable in large-scale clinical studies. The tool maps an individual’s personal network, including specific persons, their relationships to each other, and their health habits. To demonstrate utility, we used the tool to measure the social networks of 1493 persons at risk of multiple sclerosis. We examined each person’s social network in relation to self-reported neurological disability. We found that the characteristics of persons surrounding the participant, such as negative health behaviors, were strongly associated with the individual’s functional disability. This quantitative assessment reveals the key elements of individuals’ social environments that could be targeted in clinical trials.

An individual’s social network—their friends, family, and acquaintances—is important for their health, but existing tools for assessing social networks have limitations. Here, the authors introduce a quantitative social network assessment tool on a secure open-source web platform and show its utility in a nation-wide study.

The Impact of Housing Assistance on the Mental Health of Children in the United States

Housing assistance policies may lead to improved mental health for children and adolescents by improving housing quality, stability, and affordability. We use a unique data linkage of the National Health Interview Survey and U.S. Department of Housing and Urban Development administrative data to examine the impact of housing assistance on parent-reported mental health outcomes for children ages 2 to 17 (N = 1,967). We account for selection into housing assistance using a pseudo-waitlist method that compares children receiving assistance to those who will enter housing assistance within two years of their interview. Compared to those in the pseudo-waitlist group, we find that children living in public housing have better mental health outcomes. We do not find similar benefits for children receiving vouchers. Our results suggest that housing assistance policies can have a positive impact on mental health among disadvantaged children.

Estimating peer density effects on oral health for community-based older adults

BACKGROUND

As part of a long-standing line of research regarding how peer density affects health, researchers have sought to understand the multifaceted ways that the density of contemporaries living and interacting in proximity to one another influence social networks and knowledge diffusion, and subsequently health and well-being. This study examined peer density effects on oral health for racial/ethnic minority older adults living in northern Manhattan and the Bronx, New York, NY.

METHODS

Peer age-group density was estimated by smoothing US Census data with 4 kernel bandwidths ranging from 0.25 to 1.50 mile. Logistic regression models were developed using these spatial measures and data from the ElderSmile oral and general health screening program that serves predominantly racial/ethnic minority older adults at community centers in northern Manhattan and the Bronx. The oral health outcomes modeled as dependent variables were ordinal dentition status and binary self-rated oral health. After construction of kernel density surfaces and multiple imputation of missing data, logistic regression analyses were performed to estimate the effects of peer density and other sociodemographic characteristics on the oral health outcomes of dentition status and self-rated oral health.

RESULTS

Overall, higher peer density was associated with better oral health for older adults when estimated using smaller bandwidths (0.25 and 0.50 mile). That is, statistically significant relationships (p < 0.01) between peer density and improved dentition status were found when peer density was measured assuming a more local social network. As with dentition status, a positive significant association was found between peer density and fair or better self-rated oral health when peer density was measured assuming a more local social network.

CONCLUSIONS

This study provides novel evidence that the oral health of community-based older adults is affected by peer density in an urban environment. To the extent that peer density signifies the potential for social interaction and support, the positive significant effects of peer density on improved oral health point to the importance of place in promoting social interaction as a component of healthy aging. Proximity to peers and their knowledge of local resources may facilitate utilization of community-based oral health care.