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Social Vulnerability in Patients with Multimorbidity: A Cross-Sectional Analysis

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Listed:
  • Tu N. Nguyen

    (Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC G7H 5H6, Canada)

  • Patrice Ngangue

    (Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC G7H 5H6, Canada)

  • Tarek Bouhali

    (Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC G7H 5H6, Canada)

  • Bridget L. Ryan

    (Centre for Studies in Family Medicine, Department of Family Medicine, and Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, ON N6A 3K7, Canada)

  • Moira Stewart

    (Centre for Studies in Family Medicine, Department of Family Medicine, and Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, ON N6A 3K7, Canada)

  • Martin Fortin

    (Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC G7H 5H6, Canada)

Abstract

Background: Social aspects play an important role in individual health and should be taken into consideration in the long-term care for people with multimorbidity. Purposes: To describe social vulnerability, to examine its correlation with the number of chronic conditions, and to investigate which chronic conditions were significantly associated with the most socially vulnerable state in patients with multimorbidity. Methods: Cross-sectional analysis from the baseline data of the Patient-Centred Innovations for Persons with Multimorbidity (PACEinMM) Study. Participants were patients attending primary healthcare settings in Quebec, Canada. A social vulnerability index was applied to identify social vulnerability level. The index value ranges from 0 to 1 (1 as the most vulnerable). Spearman’s rank correlation coefficient was calculated for the correlation between the social vulnerability index and the number of chronic conditions. Logistic regression was applied to investigate which chronic conditions were independently associated with the most socially vulnerable state. Results: There were 301 participants, mean age 61.0 ± 10.5, 53.2% female. The mean number of chronic health conditions was 5.01 ± 1.82, with the most common being hyperlipidemia (78.1%), hypertension (69.4%), and obesity (54.2%). The social vulnerability index had a median value of 0.13 (range 0.00–0.78). There was a positive correlation between the social vulnerability index and the number of chronic conditions (r = 0.24, p < 0.001). Obesity, depression/anxiety, and cardiovascular diseases were significantly associated with the most socially vulnerable patients with multimorbidity. Conclusions: There was a significant correlation between social vulnerability and the total number of chronic conditions, with depression/anxiety, obesity, and cardiovascular diseases being the most related to social vulnerability.

Suggested Citation

  • Tu N. Nguyen & Patrice Ngangue & Tarek Bouhali & Bridget L. Ryan & Moira Stewart & Martin Fortin, 2019. "Social Vulnerability in Patients with Multimorbidity: A Cross-Sectional Analysis," IJERPH, MDPI, vol. 16(7), pages 1-9, April.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:7:p:1244-:d:220761
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    References listed on IDEAS

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    1. Melissa K Andrew & Arnold B Mitnitski & Kenneth Rockwood, 2008. "Social Vulnerability, Frailty and Mortality in Elderly People," PLOS ONE, Public Library of Science, vol. 3(5), pages 1-8, May.
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    1. Laura E. Wild & McKailey Walters & Alaina Powell & Katherine A. James & Laura Corlin & Tanya L. Alderete, 2022. "County-Level Social Vulnerability Is Positively Associated with Cardiometabolic Disease in Colorado," IJERPH, MDPI, vol. 19(4), pages 1-14, February.
    2. Junkai Zhao & Xinxin Zhang & Zongmin Li, 2019. "The Relationship between Cognitive Impairment and Social Vulnerability among the Elderly: Evidence from an Unconditional Quantile Regression Analysis in China," IJERPH, MDPI, vol. 16(19), pages 1-12, September.

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