{"id":12339,"date":"2024-12-13T17:22:55","date_gmt":"2024-12-13T22:22:55","guid":{"rendered":"https:\/\/ccna-ccnv.ca\/?post_type=ccna_publication&#038;p=12339"},"modified":"2025-03-10T17:23:48","modified_gmt":"2025-03-10T21:23:48","slug":"a-standard-procedure-for-constructing-a-multi-level-social-vulnerability-index-using-clsa-and-sos-data-as-working-example","status":"publish","type":"ccna_publication","link":"https:\/\/ccna-ccnv.ca\/fr\/ccna_publication\/a-standard-procedure-for-constructing-a-multi-level-social-vulnerability-index-using-clsa-and-sos-data-as-working-example\/","title":{"rendered":"A standard procedure for constructing a multi-level social vulnerability index using CLSA and SOS data as working example"},"content":{"rendered":"<h2>Abstract<\/h2>\n<p><strong class=\"sub-title\">Background:\u00a0<\/strong>The construct of social vulnerability attempts to understand social circumstances not merely as a descriptor, but as a predictor of adverse health events. It can be measured by aggregating social deficits in a social vulnerability index (SVI). We describe a standard procedure for constructing a multi-level SVI using two working examples.<\/p>\n<p><strong class=\"sub-title\">Methods:\u00a0<\/strong>First, we describe a six-step approach to constructing a SVI. Then, we conducted a secondary analysis of a clinical dataset (Canadian Immunization Research Network&rsquo;s Serious Outcomes Surveillance Network (SOS)) and a population-based dataset (Canadian Longitudinal Study on Aging (CLSA)). In both datasets, we construct SVIs, use descriptive statistics to report distributions by age and sex, and perform a multivariable linear regression of social vulnerability on frailty.<\/p>\n<p><strong class=\"sub-title\">Results:\u00a0<\/strong>Procedures for drafting a list of candidate social items, selecting deficits for inclusion, and screening deficits to meet inclusion criteria were applied to yield a 18-deficit SVI for the SOS and 74-deficit SVI for the CLSA. Deficits in each SVI were re-scored between 0 and 1, where 1 indicates the greater risk. Finally, the sum of all deficits is calculated into an index. In the SOS, SVI was associated with age only for females and was weakly associated with frailty (r = 0.26, p&lt;0.001). In the CLSA, SVI was associated with age for both sexes and moderately associated with frailty (r = 0.41, p&lt;0.001).<\/p>\n<p><strong class=\"sub-title\">Conclusion:\u00a0<\/strong>We present a standard method of constructing a SVI by incorporating factors from multiple social domains and levels in a social-ecological model. This SVI can be used to improve our understanding of social vulnerability and its impacts on the health of communities and individuals.<\/p>\n","protected":false},"author":14,"featured_media":0,"template":"","meta":{"_acf_changed":false},"studies-relation":[],"class_list":["post-12339","ccna_publication","type-ccna_publication","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>A standard procedure for constructing a multi-level social vulnerability index using CLSA and SOS data as working example - CCNA - CCNV<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ccna-ccnv.ca\/fr\/ccna_publication\/a-standard-procedure-for-constructing-a-multi-level-social-vulnerability-index-using-clsa-and-sos-data-as-working-example\/\" \/>\n<meta property=\"og:locale\" content=\"fr_CA\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A standard procedure for constructing a multi-level social vulnerability index using CLSA and SOS data as working example - 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