Neighborhood linking social capital as a predictor of lung cancer: A Swedish national cohort study

Tsuyoshi Hamano, Xinjun Li, Jan Sundquist, Kristina Sundquist

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6 Scopus citations

Abstract

Background: The aim of this nationwide follow-up study was to examine whether neighborhood linking social capital is associated with lung cancer, including incident and mortality cases, after adjustment for individual- and familial-level factors. Methods: This follow-up study comprised 2,123,707 men and 2,046,174 women aged 25 years or older in Sweden. The follow-up period started on January 1, 2002 and proceeded until first incident of lung cancer, mortality of lung cancer, death from any other cause, emigration or the end of the study period on December 31, 2010. Multilevel logistic regression models (individual-level factors at the first level and neighborhood-level factors at the second level)were used to calculate odds ratios (ORs)with 95% confidence intervals (95% CIs). Results: We identified 16,561 lung cancer cases (8422 men and 8139 women)during the follow-up period. Higher ORs of lung cancer, including incident and mortality cases, were observed in individuals who lived in neighborhoods with low social capital (men: OR = 1.37, 95% CI = 1.27–1.47; women: OR = 1.32, 95% CI = 1.23–1.42)than in those living in neighborhoods with high social capital, after adjustment for potential confounding factors. Conclusion: The results of this large national cohort study suggest that neighborhood linking social capital has important independent effects on lung cancer, including incident and mortality cases. These findings indicate that decision-makers must consider the effect of neighborhood-level factors as well as individual- and familial-level factors.

Original languageEnglish
Pages (from-to)23-29
Number of pages7
JournalCancer Epidemiology
Volume61
DOIs
StatePublished - Aug 2019

Keywords

  • Follow-up study
  • Lung cancer
  • Multilevel analysis
  • Social capital

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