The mediating effect of allostatic load on the relationship between neighborhood perceptions and depression

Enriched housing differentially alters allostatic load and cardiopulmonary responses to wildfire-related smoke in male and female mice

Living conditions are an important modifier of individual health outcomes and may lead to higher allostatic load (AL). However, housing-induced cardiovascular and immune effects contributing to altered environmental responsiveness remain understudied. This investigation was conducted to examine the influence of enriched (EH) versus depleted housing (DH) conditions on cardiopulmonary functions, systemic immune responses, and allostatic load in response to a single wildfire smoke (WS) exposure in mice. Male and female C57BL/6J mice were divided into EH or DH for 22 weeks, and cardiopulmonary assessments measured before and after exposures to either one-hr filtered air (FA) or flaming eucalyptus WS exposure. Male and female DH mice exhibited increased heart rate (HR) and left ventricular mass (LVM), as well as reduced stroke volume and end diastolic volume (EDV) one week following exposure to WS. Female DH mice displayed significantly elevated levels of IL-2, IL-17, corticosterone and hemoglobin A1c (HbA1c) following WS, while female in EH mice higher epinephrine levels were detected. Female mice exhibited higher AL than males with DH, which was potentiated post-WS exposure. Thus, DH increased susceptibility to extreme air pollution in a gender-dependent manner suggesting that living conditions need to be evaluated as a modifier of toxicological responses.

Do Religious Struggles Mediate the Association Between Neighborhood Disorder and Health in the United States?

Over the past two decades, numerous studies have linked the subjective experience of neighborhood disorder (perceptions of crime, dilapidation and ambient strains) with poorer health. We test whether religious struggles (religious doubts and feeling abandoned or punished by God) mediate this association. Our counterfactual mediation analyses of data from the 2021 Crime, Health, and Politics Survey (CHAPS) (n = 1741) revealed consistent indirect effects of neighborhood disorder through religious struggles for anger, psychological distress, sleep disturbance, poorer self-rated health, and shorter subjective life expectancy. This study contributes to previous work by integrating the study of neighborhood context and religion.

The Association of Context with Reported Self-Efficacy for Cancer-Preventive Behaviors and Perceived Cancer Risk in U.S. Adults from the Midlife in the United States (MIDUS) Study

Background: Cancer is one of the leading causes of death in the United States. It is critical to understand the associations among multilevel determinants of cancer prevention and control behaviors. This study examined associations of neighborhood factors with perceived risk of cancer and self-efficacy for reducing cancer risk. Methods: Cross-sectional analyses included 2324 U.S. adults from the Midlife in the U.S. Wave 3. Participants completed surveys of neighborhood environment (perceived neighborhood trust and safety, built environment conditions, social integration), perceived cancer risk and cancer prevention efficacy. Multivariate linear regressions examined associations of neighborhood context with risk perceptions and self-efficacy. Results: In the model that adjusted for sociodemographic characteristics, better perceived neighborhood trust and safety were associated with lower perceived cancer risk. In fully adjusted models for sociodemographic characteristics and contextual factors, higher perceptions of neighborhood trust and safety were associated with higher cancer prevention self-efficacy. Perceptions of better built neighborhood conditions and higher social integration were significantly associated with lower perceived cancer risk and higher perceived cancer prevention efficacy. Conclusions: Perceptions of neighborhood context may play a role in shaping psychosocial factors such as perceived cancer risk and self-efficacy, even after controlling for robust predictors of these perceptions.

Perceived Neighborhood Safety and Depressive Symptoms: The Role of Perceived Neighborhood Cohesion and Perceived Control

Few have examined mechanisms explaining the link between perceived neighborhood unsafety, neighborhood social processes, and depressive symptoms for Black adolescents. The goal of this study was to examine the role of perceived control as a mechanism linking perceptions of neighborhood unsafety and depressive symptoms, and neighborhood cohesion as a protective factor. Participants were 412 Black adolescents living in a major Mid-Atlantic urban center in the United States (49% female, Mage = 15.80, SD = 0.36). Participants reported perceptions of neighborhood unsafety at grade 10, neighborhood cohesion at grade 10, perceived control at grades 10 and 11 and depressive symptoms in grades 10 and 12. High neighborhood unsafety was associated with low perceived control and in turn high depressive symptoms only when neighborhood cohesion was high. The results highlight the role of neighborhood unsafety and perceived control in the development of depressive symptom and the possible downsides of neighborhood social factors.

Allostatic Load Measurement: A Systematic Review of Reviews, Database Inventory, and Considerations for Neighborhood Research

BACKGROUND

Neighborhoods are critical to understanding how environments influence health outcomes. Prolonged environmental stressors, such as a lack of green spaces and neighborhood socioeconomic disadvantage, have been associated with higher allostatic load levels. Since allostatic load levels experienced earlier in life have stronger associations with mortality risk, neighborhoods may be uniquely suited to monitor and mitigate the impacts of environmental stressors. Researchers often study allostatic load in neighborhoods by utilizing administrative boundaries within publicly accessible databases as proxies for neighborhoods.

METHODS

This systematic review of reviews aims to identify commonly used biomarkers in the measurement of allostatic load, compare measurement approaches, inventory databases to study allostatic load, and spotlight considerations referenced in the literature where allostatic load is studied in neighborhoods. The review was conducted using the search term "allostatic load" in the MEDLINE, CINAHL, and PsychINFO databases. The search results were filtered to include reviews.

RESULTS

The search returned 499 articles after deduplication. Overall, 18 synthesis reviews met the inclusion criteria and were retained for extraction. The synthesis reviews analyzed represented 238 studies published from 1995 to 2020. The original ten biomarkers were most often used to measure allostatic load. More recently, body mass index and C-reactive protein have additionally been frequently used to measure allostatic load burden.

CONCLUSIONS

The scientific contributions of this study are that we have identified a clear gap in geographic considerations when studying allostatic load. The implication of this study is that we have highlighted geographic concepts when conducting neighborhood-level research using administrative databases as a neighborhood proxy and outlined emerging future trends that can enable future study of allostatic load in the neighborhood context.

Predicting depression among rural and urban disabled elderly in China using a random forest classifier

With global aging, the number of elderly with physical disabilities is also increasing. Compared with the ordinary elderly, the elderly who lose their independence are more likely to have the symptoms of depression. Reducing depression may help to alleviate the disability process of those who find themselves in the disabled stages. Therefore, the purpose of this study is to explore the predictive effects of demographic characteristics, health behavior, health status, family relations, social relations, and subjective attitude on depression in rural and urban disabled elderly to improve early depression symptom recognition.A total of 1460 older adults aged 60 and disabled were selected from China Family Panel Studies (CFPS). Depression was assessed according to The Center for Epidemiologic Studies Depression Scale (CES-D). This paper used the random forest classifier to predict the depression of the disabled elderly from six aspects: demographic characteristics, health status, health behavior, family relationship, and social relationship. The prediction model was established based on 70% of the training set and 30% of the test set. The depression rate of rural disabled elderly was 57.67%, and that of urban disabled elderly was 44.59%. The mean values of the 10-k cross-validated results were 0.71 in rural areas and 0.70 in urban areas. AUC:0.71, specificity: 65.3%, sensitivity: 80.6% for rural disabled elderly with depression; AUC:0.78, specificity: 78.1%, sensitivity: 64.2% for urban disabled elderly with depression, respectively. There are apparent differences in the top ten predictors between rural and urban disabled elderly. The common predictors were self-rated health, changing in perceived health, disease or accidence experience within the past 2 weeks, life satisfaction, trusting people, BMI, and having trust in the future. Non-common predictors were chronic diseases, neighborly relations, total medical expenses within 1 year, community emotion, sleep duration, and family per capita income. Using random forest data to predict the depression of the disabled elderly may lead to early detection of depression.

Neighborhood social integration as a predictor of neighborhood perceptions

A growing body of literature has established a relationship between neighborhood perceptions and both physical and mental health outcomes, yet there remains a need to further explicate possible psychosocial factors that are predictive of neighborhood perceptions. This study hypothesized that an increase in social integration would result in more positive neighborhood perceptions. Propensity score matching on social integration was employed to strengthen the ability to draw a causal inference about the effect on neighborhood perceptions. When controlling for a range of sociodemographic covariates-including area deprivation index as a measure of objective neighborhood conditions-high social integration accounted for more than a 7% increase in neighborhood perceptions. The findings indicate the role of social integration as a predictor of neighborhood perceptions, revealing the potential importance of interventions and mechanisms aimed at improving neighborhood perceptions via social integration for the purposes of improving physical health and mental wellbeing.