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Effect of Multimorbidity on Health-Related Quality of Life in Adults Aged 55 Years or Older: Results from the SU.VI.MAX 2 Cohort

Author

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  • Valentin Walker
  • Christine Perret-Guillaume
  • Emmanuelle Kesse-Guyot
  • Nelly Agrinier
  • Serge Hercberg
  • Pilar Galan
  • Karen E Assmann
  • Serge Briançon
  • Christine Rotonda

Abstract

Introduction: Multimorbid chronic diseases are usually considered separately in trials. Here, we aimed to describe overall multimorbidity patterns in adults aged 55 years or older and assess their effect on health-related quality of life (HRQoL). Methods: We used data for 5,647 participants included in the SUpplémentation en VItamines et Minéraux AntioXydants 2 (SU.VI.MAX 2) population-based trial. HRQoL was assessed by the French versions of the Medical Outcome Study Short Form 36 and the Duke Health Profile. An exploratory factor analysis was used to determine multimorbidity patterns, and a multimorbidity score for each resulting pattern was calculated. Adjusted multiple linear regression was used to examine the association between the identified multimorbidity and HRQoL scores by gender and for each age group (55–59, 60–64, 65–69, ≥ 70 years). Results: More than 63% of the sample reported two or more chronic conditions (from 55.8% for those 55–59 years to 74.4% for those ≥ 70 years). Multimorbidity was more common among women than men (67.3% vs 60%). Two different multimorbidity patterns were identified. Pattern A was represented mainly by mental illness and bone impairments. Pattern B was represented mainly by cardiovascular and metabolic disorders. After adjusting for covariates, a high pattern A score was associated with reduced HRQoL for the physical and mental components of each HRQoL questionnaire, and a high pattern B score was associated with reduced HRQoL for only the physical component of each questionnaire. These multimorbidity scores affected HRQoL differently by age group. Conclusion: Our study used a novel methodological approach to account for multimorbidity patterns in determining the link with chronic conditions. These multimorbidity scores (counted and weighted) can be used in clinical research to control for the effect of multimorbidity on patients’ HRQoL and may be useful for clinical practice. Clinical Trial Registration: Clinicaltrial.gov (number NCT00272428).

Suggested Citation

  • Valentin Walker & Christine Perret-Guillaume & Emmanuelle Kesse-Guyot & Nelly Agrinier & Serge Hercberg & Pilar Galan & Karen E Assmann & Serge Briançon & Christine Rotonda, 2016. "Effect of Multimorbidity on Health-Related Quality of Life in Adults Aged 55 Years or Older: Results from the SU.VI.MAX 2 Cohort," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-15, December.
  • Handle: RePEc:plo:pone00:0169282
    DOI: 10.1371/journal.pone.0169282
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    References listed on IDEAS

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    1. Inge Kirchberger & Christa Meisinger & Margit Heier & Anja-Kerstin Zimmermann & Barbara Thorand & Christine S Autenrieth & Annette Peters & Karl-Heinz Ladwig & Angela Döring, 2012. "Patterns of Multimorbidity in the Aged Population. Results from the KORA-Age Study," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-7, January.
    2. Noe Garin & Beatriz Olaya & Maria Victoria Moneta & Marta Miret & Antonio Lobo & Jose Luis Ayuso-Mateos & Josep Maria Haro, 2014. "Impact of Multimorbidity on Disability and Quality of Life in the Spanish Older Population," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-12, November.
    3. Esperanza Diaz & Beatriz Poblador-Pou & Luis-Andrés Gimeno-Feliu & Amaia Calderón-Larrañaga & Bernadette N Kumar & Alexandra Prados-Torres, 2015. "Multimorbidity and Its Patterns according to Immigrant Origin. A Nationwide Register-Based Study in Norway," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-18, December.
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    Cited by:

    1. Eliza Lai yi Wong & Richard Huan Xu & Annie Wai ling Cheung, 2019. "Measuring the impact of chronic conditions and associated multimorbidity on health-related quality of life in the general population in Hong Kong SAR, China: A cross-sectional study," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-16, November.
    2. Jesús Carretero-Bravo & Begoña Ramos-Fiol & Esther Ortega-Martín & Víctor Suárez-Lledó & Alejandro Salazar & Cristina O’Ferrall-González & María Dueñas & Juan Luis Peralta-Sáez & Juan Luis González-Ca, 2022. "Multimorbidity Patterns and Their Association with Social Determinants, Mental and Physical Health during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(24), pages 1-17, December.
    3. Shan-Shan Yao & Xiangfei Meng & Gui-Ying Cao & Zi-Ting Huang & Zi-Shuo Chen & Ling Han & Kaipeng Wang & He-Xuan Su & Yan Luo & Yonghua Hu & Beibei Xu, 2020. "Associations between Multimorbidity and Physical Performance in Older Chinese Adults," IJERPH, MDPI, vol. 17(12), pages 1-14, June.
    4. Lixia Ge & Reuben Ong & Chun Wei Yap & Bee Hoon Heng, 2019. "Effects of chronic diseases on health‐related quality of life and self‐rated health among three adult age groups," Nursing & Health Sciences, John Wiley & Sons, vol. 21(2), pages 214-222, June.
    5. Ignatios Ioakeim-Skoufa & Beatriz Poblador-Plou & Jonás Carmona-Pírez & Jesús Díez-Manglano & Rokas Navickas & Luis Andrés Gimeno-Feliu & Francisca González-Rubio & Elena Jureviciene & Laimis Dambraus, 2020. "Multimorbidity Patterns in the General Population: Results from the EpiChron Cohort Study," IJERPH, MDPI, vol. 17(12), pages 1-15, June.

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