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Measures of social connectedness in adult populations: a systematic review

Lookup NU author(s): Professor Sheena Ramsay, Liam SpencerORCiD, Emma AdamsORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© The Author(s) 2024. Background: Poor social connectedness has been identified as a risk factor for poor mental health but there is a lack of standardisation in how it is measured. This systematic review aimed to identify suitable measures of social connectedness for use in UK adult general populations. Methods: Searches were undertaken in two stages to identify: (1) measures of social connectedness from review articles and grey literature and (2) studies reporting on the psychometric properties of the identified measures. Grey literature and five databases were searched: MEDLINE, Embase and PsycINFO; CINAHL and Web of Science. Studies based on UK adult general populations (16–65 years) or other English language speaking countries with similar cultures (US, Canada, Ireland, Australia and New Zealand) were included. Psychometric evidence was extracted relating to six general domains: conceptual model, content validity, reliability, construct validity, scoring and interpretability, and respondent burden and presentation. A narrative synthesis summarised these psychometric properties. Results: Stage (1) 2,396 studies were retrieved and, 24 possible measures of social connectedness were identified; stage (2) 6,218 studies were identified reporting on psychometrics of identified measures and 22 studies were included. These studies provided psychometric evidence for 10 measures, and we did not find psychometric studies for the other identified measures. Six measures (6/10, 60%) reported assessing loneliness and four (4/10, 40%) reported assessing social support but there was a degree of overlap between the assessments of each concept. There was good evidence of reliability across measures, 90% (9/10) had adequate internal consistency, but evidence of content validity was only available for one scale. Five measures (5/10, 50%) reported on at least half of the psychometric criteria, and these were: UCLA-3 (for loneliness), and MSPSS, F-SozU K-6, SPS-10 and SPS-5 (for social support). Conclusions: This review identified ten social connectedness measures, and identified UCLA-3, MSPSS, F-SozUK-6, SPS-10, and SPS-5 as having the most robust psychometric properties for the UK adult population. Further testing is required to establish content validity, and to clarify the definition and conceptualisation of social connectedness, to enable standardisation in the approach to measuring social connectedness.


Publication metadata

Author(s): Plackett R, Hulin J, Mukuria C, Clowes M, Ramsay SE, Spencer L, Adams EA, Dykxhoorn J, Walters K, Osborn DPJ, Zamperoni V, Jones O, Weich S

Publication type: Article

Publication status: Published

Journal: BMC Public Health

Year: 2024

Volume: 24

Issue: 1

Online publication date: 05/12/2024

Acceptance date: 18/11/2024

Date deposited: 17/12/2024

ISSN (electronic): 1471-2458

Publisher: BioMed Central Ltd

URL: https://doi.org/10.1186/s12889-024-20779-0

DOI: 10.1186/s12889-024-20779-0

Data Access Statement: Not applicable.


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Funding

Funder referenceFunder name
National Institute for Health and Care Research (NIHR) School for Public Health Research (SPHR) (Grant Reference Number PD-SPH-2015)
NIHR SPHR Post-Doctoral Fellowship Funding Scheme, Grant Reference Number PD-SPH-2015
NIHR University College London Hospital Biomedical Research Centre
NIHR Applied Research Collaboration (ARC) North East and North Cumbria (NENC)
NIHR North Thames Applied Research Collaboration
NIHR SPHR Pre-Doctoral Fellowship Funding Scheme, Grant Reference Number PD-SPH-2015
University College London Hospitals NIHR Biomedical Research Centre

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