Pathways to depression: The impact of neighborhood violent crime on inner-city residents in Baltimore, Maryland, USA☆
Introduction
Depression is a major health problem in itself and has been prospectively linked to cardiovascular disease and other serious morbidities (Glassman and Shapiro, 1998, Jiang et al., 2002, MacMahon and Lip, 2002, Maddock and Pariante, 2001). In addition, depression is strongly patterned by socioeconomic status (Inaba et al., 2005, Kessler, 1979, McLeod and Kessler, 1990). Although the majority of studies focusing on correlates, consequences, and causes of depression have largely focused on individual, family, and social network factors, some researchers have evaluated the role of structural and contextual factors such as neighborhood.
Studies conducted in Canada, the United Kingdom, and the US have examined how neighborhood problems, such as place of residence and exposure to violent crime and vacant housing, might contribute to mental health (Bogat et al., 2005, Dupere and Perkins, 2007, Fauth et al., 2004, Galea et al., 2007, Goldsmith et al., 1998, Propper et al., 2005, Ross, 2000). Neighborhood conditions in these studies are usually viewed as chronic stressors, producing psychological distress (Avison and Turner, 1988, Matheson et al., 2006, Steptoe and Feldman, 2001). However, it is still unclear how these chronic stressors operate to produce psychological distress. Do these conditions impact individual perceptions of environment, leading to feelings of fear, anxiety, or hopelessness? Or, do violent neighborhoods impact psychological distress by increasing individual exposure to actual violence?
After screening 8562 studies, Truong and Ma (2006) conducted a systematic review of 29 studies that examined the relationship between neighborhood factors and mental health. The authors included studies that assessed neighborhood factors through objective measures as well as subjective measures. Objective measures refer to empirical data collected at the group level, rather than from an individual, such as number of dwellings, unemployment rates, crime rates, and income levels. Subjective measures refer to self-reported data collected from individuals which assess perceptions, attitudes, and personal experiences within the neighborhood. The authors concluded that there was a consistent positive relationship between neighborhood characteristics and mental health. However, this association tended to be modest, especially after adjusting for individual-level factors. This review indicates that both subjective and objectives measures of neighborhood factors are associated with mental health.
Researchers have demonstrated a consistent link between self-reported perceptions of one's neighborhood, a subjective measure, and physical and mental health. In a sample of Caucasians and African Americans living in Baltimore, MD, Gary, Stark, and LaVeist (2007) found that individuals who perceived that their neighborhood had more severe problems (e.g. physical, social, and criminal problems) were more likely to experience higher levels of stress and depression. Similarly, Latkin and Curry (2003) found that baseline perceptions of one's neighborhood problems predicted higher rates of depression at a follow-up assessment in Baltimore, MD.
In an Australian sample, Ziersch, Baum, Macdougall, and Putland (2005) evaluated the impact of a variety of perceived neighborhood characteristics including perceived safety, perception of the physical environment, neighborhood trust, neighborhood connections, and social capital on physical and mental health. These researchers found that perceived neighborhood safety was associated with physical health. In addition, mental health was related to perceived safety and neighborhood connections.
There is a growing body of literature assessing the impact of objective measures of neighborhood on health status. Research conducted among 4.5 million Swedes has shown associations between neighborhood level factors, including proportion of residents with low income and low social capital, and mental health hospitalizations and disorders (Lofors and Sundquist, 2007, Sundquist and Ahlen, 2006). Likewise, Silver, Mulvey, and Swanson (2002) reported that neighborhood disadvantage and mobility were associated with higher rates of depression and substance abuse in a large community sample of U.S. residents.
Many researchers have posited that objective measures of neighborhood influence physical and mental health through mediating variables such as perceptions of one's neighborhood. Cutrona, Wallace, and Wesner (2006) proposed three mechanisms by which neighborhood characteristics affect individual depression levels. These pathways include (1) level of daily stress imposed by lack of resources, physical stressors, and other people; (2) heightened vulnerability to experiencing negative events; and (3) disruption of social networks.
Through multi-level analyses, Matheson et al. (2006) studied the role of neighborhood stress, operationalized as residential mobility and material deprivation, on depression among Canadian residents. They found that after controlling for individual characteristics, there was a significant association between neighborhood stress and depression. In a study conducted in Michigan US, Kruger, Reischl, and Gee (2007) found that the relationship between physical deterioration of neighborhood and depression was mediated by social contact with neighbors, social capital, and perceptions of crime.
Wen, Hawkley, and Cacioppo (2006) evaluated the relationships between objective and perceived neighborhood characteristics, psychosocial variables, and self-rated health in a sample of older adults in Illinois. They utilized neighborhood census data to construct an objective measure of neighborhood SES. Subjective assessment of neighborhood was measured as perceptions of physical, social, and service environment. Through a series of regression models, their findings indicated that objective measures of neighborhood affected self-reported health through perceptions of neighborhood and psychosocial factors including stress and depression.
Using structural equation modeling, Stiffman, Hadley-Ives, Elze, Johnson, and Dore (1999) examined the pathways between objective neighborhood conditions, perceived neighborhood conditions, environmental support, and mental health outcomes among adolescents living in inner-city areas of St. Louis. Although they found no direct impact of neighborhood conditions on mental health, they did find an indirect pathway through individual perceptions of neighborhood conditions.
Our previous research tested and confirmed a direct association between perceptions of neighborhood disorder and depression using the same SHIELD dataset that is reported on here (Latkin & Curry, 2003). Although the present study also considers the role of neighborhood perceptions on distress, we have expanded our model to assess the impact of an objective neighborhood measure (i.e., police crime report) and personal experiences of violence. The present study prospectively examined the pathways between an objective measure of neighborhood violence and depressive symptoms in a population of adults living in an inner-city environment. Unlike Stiffman et al. (1999) and Wen et al. (2006), who used census variables at a census tract level of aggregation, our measure of objective neighborhood conditions comprising police crime records, aggregated to a block-group level. Research on violence in Baltimore has shown that the block group is an appropriate level of aggregation due to clustering of violent events and stressors (Harries, 1997).
While there is often a high degree of correlation between census variables such as median household income, and rates of violent crime, violent crime may be more proximal in the causal pathway that leads from neighborhood factors to mental health outcomes. Our choice of block groups versus census tracts was motivated by previous research that found that perceptions of neighborhood disorder, aggregated to a block-group level, were a more reliable measure than perceptions of neighborhood disorder aggregated to a census tract level (Curry, 2004). In the present study, we employed correlation and path analysis to help answer the following questions:
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To what extent does neighborhood violent crime, at the block-group level, correlates with perceptions of neighborhood problems at the individual level among current and former drug users living in an inner-city environment?
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Is neighborhood violent crime positively associated with individual experiences of violent crime?
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Do perceptions of neighborhood problems mediate the relationship between neighborhood violent crime and level of depressive symptoms; or
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Is there a direct impact of neighborhood violent crime on levels of depressive symptoms?
We hypothesized that higher levels of neighborhood violence would be directly associated with higher levels of depressive symptoms. Also, we posited that higher levels of neighborhood violence would be indirectly associated with higher levels of depressive symptoms, with perceptions of neighborhood crime and experiences of violence acting as intermediate variables.
Section snippets
Survey assessment and data collection
The survey data used in this analysis were collected as a part of a social network-based HIV prevention intervention. Targeted outreach was used to recruit participants. Areas of high drug activity were assessed using focus groups, geocoding of drug-related arrests over a 3-year period, and ethnographic observations. A description of the study and a telephone number to call was provided to potential participants. Those that contacted our research staff were given a brief screening to assess
Sample characteristics
Data were collected from 786 participants who were nested in 270 residential block groups. The sample was predominantly composed of males (61.2%). The mean age was 39.0 (SD = 7.3). The sample is highly disadvantaged, relative to the general population. Only 22% of the sample was employed at least part-time at the time of the initial interview, and only 52% had completed at least a high school education. Sixty-four percent of participants reported having a main sexual partner. Approximately 57%
Discussion
The findings from this current study suggest that neighborhood crime is associated with depressive symptoms. Although we did not observe a direct path between neighborhood level of violent crime and depressive symptoms, we did find support for two indirect pathways by which neighborhood violent crime is associated with depressive symptoms: through perceptions of neighborhood disorder and through experiences of violence in the neighborhood. Our hypothesized sequence (neighborhood violence
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2022, Health and PlaceCitation Excerpt :The mental health of residents living in high-crime neighbourhoods may be further impacted when there is repeated exposure to potential violence; fear and avoidance behaviours may become more common among residents (Macassa et al., 2018; Mueller et al., 2019; Weisburd et al., 2018). Scholars argue that these individual perceptions of risks may be stronger determinants of behavioural patterns than the actual threat of crime (Baranyi et al., 2021; Curry et al., 2008; Pearson and Breetzke, 2014). The structural characteristics of neighbourhoods and environmental stressors within them are also possible mechanisms of the adverse mental health effects in populations (Ahern and Galea, 2011; Freedman and Woods, 2013).
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This work was funded by the National Institute on Drug Abuse, grant R01DA016555.