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Social and physical neighbourhood characteristics and loneliness among older adults: results from the MINDMAP project

  • Erik Timmermans
  • , Irina Motoc
  • , J Mark Noordzij
  • , Marielle A Beenackers
  • , Rita Wissa
  • , Aliou Sarr
  • , Asli Gurer
  • , Guillaume Fabre
  • , Milagros Ruiz
  • , Dany Doiron
  • , Joost Oude Groeniger
  • , Dorly Deeg
  • , Frank J Van Lenthe
  • , Martijn Huisman
  • Department of Clinical Epidemiology and Biostatistics
  • Cancer Computational Biology Center, Erasmus MC Cancer Institute, Erasmus University Medical Center, 3015 GD, Rotterdam, the Netherlands; Department of Urology, Erasmus MC Cancer Institute, Erasmus University Medical Center, 3015 GD, Rotterdam, the Netherlands; Hubrecht Institute-KNAW and University Medical Center Utrecht, Utrecht, the Netherlands.
  • Research Institute of the McGill University Health Centre
  • University College London Hospitals, London, UK
  • VU Vrije Universiteit
  • McGill University
  • University College London
  • Erasmus University Rotterdam
  • Utrecht University

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

BACKGROUND: Loneliness is associated with several adverse mental and physical health outcomes in older adults. Previous studies have shown that a variety of individual-level and perceived area-level characteristics are associated with loneliness. This study examined the associations of objectively measured social and physical neighbourhood characteristics with loneliness.

METHODS: We used cross-sectional data from 1959 older adults (63-98 years) who participated in the Longitudinal Ageing Study Amsterdam (LASA; wave 2011/12) and the Health and Living Conditions of the Population of Eindhoven and Surroundings study (GLOBE; wave 2014) in the Netherlands. Study-specific loneliness scores were harmonised across both cohort studies and divided into tertiles denoting low, medium and high levels of loneliness. Objectively measured neighbourhood characteristics, including area-level percentages of low educated residents, social security beneficiaries and unoccupied dwellings, average income, crime levels and land use mix, were linked to individual-level data. Multinomial logistic regression analyses were conducted to examine the associations of interest.

RESULTS: There was no statistical evidence for an association of the included neighbourhood characteristics with loneliness. Although not statistically significant, the observed associations suggested that participants living in neighbourhoods with more heterogeneous land use mix were less likely to have a medium and high level of loneliness than those living in more homogeneous neighbourhoods in terms of land use mix (ORmedium=0.54, 95% CI=0.18-1.67; ORhigh=0.67, 95% CI=0.21-2.11).

CONCLUSION: The results indicate that the included objectively measured social and physical neighbourhood characteristics are not associated with loneliness in old age.

Original languageEnglish
Article number214217
Pages (from-to)464-469
Number of pages6
JournalJournal of epidemiology and community health
Volume75
Issue number5
Early online date5 Nov 2020
DOIs
Publication statusPublished - 1 May 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 15 - Life on Land
    SDG 15 Life on Land
  3. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

Keywords

  • Environmental health
  • Epidemiology of ageing
  • Mental health
  • Neighbourhood/place

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