Feeling unsafe in one's neighborhood is associated with poor health. This relation may be conferred through multiple pathways, including greater psychological distress and health behaviors that are associated with poorer health and perceptions of neighborhood safety. Women and older adults often report feeling less safe in their environments despite having a lower risk of victimization than men and younger adults, and it is unclear whether these differences influence the health-perception relationship. We used the Midlife in the United States study to test whether baseline neighborhood safety perceptions would be associated with chronic health conditions 10 years later, and whether this relation differs by gender, age, and individual and neighborhood SES. Chronic health conditions included items such as respiratory problems, cancer, autoimmune disorders, digestive problems, pain, infections, cardiovascular conditions, sleep problems, and depression and anxiety. Results indicated that people who perceived lower neighborhood safety had more health problems 10 years later than those perceiving more neighborhood safety. These findings persisted after adjusting for baseline health, neighborhood income, individual income, and individual sociodemographics. This relation was partially mediated by smoking. Results did not differ by gender, age, or individual SES. Our results indicate a longitudinal relation between feeling unsafe in one's neighborhood and later health problems among men and women representing a wide age and income range. Moreover, our findings support a behavioral pathway through which neighborhood safety perceptions may be linked to health.

Higher income neighborhoods are associated with better health, a relation observed in many cross-sectional studies. However, prior research focused on the prevalence of health conditions, and examining the incidence of new health conditions may provide stronger support for a potential causal role of neighborhoods on health. We used the 2004 and 2014 waves of the Midlife in the United States Study (n = 1726; ages 34-83) to examine health condition incidence as a function of neighborhood income. Among participants who had lived in the same neighborhood across the time period, we hypothesized that higher neighborhood income would be associated with a lower incidence of health conditions ten years later. Health included 18 chronic conditions related to mental (anxiety, depression) and physical (cardiovascular, immune) health. Multinomial logistic regression analyses adjusting for individual income and sociodemographics indicated that the odds of developing two or more new health conditions (no new health conditions as referent), was significantly lower (OR = 0.92, CI: 0.86, 0.99) for every $10,000 increment in neighborhood income. Associations did not vary by age or neighborhood tenure. Results add to a literature documenting that higher neighborhood income is associated with better health.

Objectives

The purposes of this study were to compare the relative fit of two alternative factor models of allostatic load (AL) and physiological systems, and to test factor invariance across age and sex.

Methods

Data were from the Midlife in the United States II Biomarker Project, a large (n = 1255) multisite study of adults aged 34 to 84 years (56.8% women). Specifically, 23 biomarkers were included, representing seven physiological systems: metabolic lipids, metabolic glucose, blood pressure, parasympathetic nervous system, sympathetic nervous system, hypothalamic-pituitary-adrenal axis, and inflammation. For factor invariance tests, age was categorized into three groups (≤45, 45-60, and >60 years).

Results

A bifactor model where biomarkers simultaneously load onto a common AL factor and seven unique system-specific factors provided the best fit to the biomarker data (comparative fit index = 0.967, root mean square error of approximation = 0.043, standardized root mean square residual = 0.028). Results from the bifactor model were consistent with invariance across age groups and sex.

Conclusions

These results support the theory that represents and operationalizes AL as multisystem physiological dysregulation and operationalizing AL as the shared variance across biomarkers. Results also demonstrate that in addition to the variance in biomarkers accounted for by AL, individual physiological systems account for unique variance in system-specific biomarkers. A bifactor model allows researchers greater precision to examine both AL and the unique effects of specific systems.

Objectives

Negative perceptions of aging can be self-fulfilling prophecies, predicting worse cognitive and physical outcomes. Although older adults are portrayed as either lonely curmudgeons or perfect grandparents, little research addresses how perceptions of aging relate to social outcomes. We considered whether more positive expectations about aging encourage older adults to maintain or bolster their social network connections and support.

Method

This study examined baseline, 12-, and 24-month questionnaire data from the Baltimore Experience Corps Trial, a longitudinal randomized volunteer intervention for adults aged 60 years and older. The associations between expectations regarding aging and different types of social support were tested using negative binomial and multiple regression models controlling for relevant covariates such as baseline levels of perceived support availability.

Results

Participants with more positive expectations at baseline made more new friends 2 years later and had greater overall perceived support availability 12 months later. Notably, only participants with at least average perceived support availability at baseline showed an association between expectations and later support availability.

Discussion

These results are the first to link overall expectations regarding aging to the social domain and suggest that the influence of perceptions of aging is not limited to physical or cognitive function.

OBJECTIVES: To determine whether there is a relationship between early life adversity (ELA) and biological parameters known to predict health risks and to examine the extent to which circumstances in midlife mediate this relationship.

Poor neighborhoods may represent a situation of chronic stress, and may therefore be associated with health-related correlates of stress. We examined whether lower neighborhood income would relate to higher allostatic load, or physiological well-being, through psychological, affective, and behavioral pathways. Using data from the Biomarker Project of the Midlife in the United States (MIDUS) study and the 2000 Census, we demonstrated that people living in lower income neighborhoods have higher allostatic load net of individual income. Moreover, findings indicate that this relation is partially accounted for by anxious arousal symptoms, fast food consumption, smoking, and exercise habits.

Objective

This study examined whether perceived neighborhood cohesion (the extent to which neighbors trust and count on one another) buffers against the mental health effects of the 2020 COVID-19 pandemic.

Methods

The XXX University National COVID-19 and Mental Health Study surveyed US adults (N = 3965; M age = 39 years), measuring depressive symptoms, staying home more during than before the 2020 pandemic, and perceived neighborhood cohesion.

Results

A series of linear regressions indicated that perceiving one's neighborhood as more cohesive was not only associated with fewer depressive symptoms, but also attenuated the relationship between spending more time at home during the pandemic and depressive symptoms. These relationships persisted even after taking into account several individual-level sociodemographic characteristics as well as multiple contextual features, i.e., median household income, population density, and racial/ethnic diversity of the zip codes in which participants resided.

Conclusions

Neighborhood cohesion may be leveraged to mitigate pandemic impacts on depressive symptoms.