
doi: 10.1002/jcop.22536
pmid: 33655505
Abstract 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.
Residence Characteristics, Humans, Perception, Social Integration
Residence Characteristics, Humans, Perception, Social Integration
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 11 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
