Neighborhood cohesion and daily well-being: Results from a diary study

Jennifer W. Robinette, Susan T. Charles, Jacqueline A. Mogle, David M. Almeida

Research output: Contribution to journalArticlepeer-review

85 Scopus citations


Neighborly cohesiveness has documented benefits for health. Furthermore, high perceived neighborhood cohesion offsets the adverse health effects of neighborhood socioeconomic adversity. One potential way neighborhood cohesion influences health is through daily stress processes. The current study uses participants (n=2022, age 30-84 years) from The Midlife in the United States II and the National Study of Daily Experiences II, collected between 2004 and 2006, to examine this hypothesis using a within-person, daily diary design. We predicted that people who perceive high neighborhood cohesion are exposed to fewer daily stressors, such as interpersonal arguments, lower daily physical symptoms and negative affect, and higher daily positive affect. We also hypothesized that perceptions of neighborhood cohesion buffer declinein affective and physical well-being on days when daily stressors do occur. Results indicate that higher perceived neighborhood cohesion predicts fewer self-reported daily stressors, higher positive affect, lower negative affect, and fewer physical health symptoms. High perceived neighborhood cohesion also buffers the effects of daily stressors on negative affect, even after adjusting for other sources of social support. Results from the present study suggest interventions focusing on neighborhood cohesion may result in improved well-being and may minimize the adverse effect of daily stressors.

Original languageEnglish (US)
Pages (from-to)174-182
Number of pages9
JournalSocial Science and Medicine
StatePublished - Nov 2013

All Science Journal Classification (ASJC) codes

  • Health(social science)
  • History and Philosophy of Science


Dive into the research topics of 'Neighborhood cohesion and daily well-being: Results from a diary study'. Together they form a unique fingerprint.

Cite this