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Lifestyle and Socioeconomic Determinants of Multimorbidity Patterns among Mid-Aged Women: A Longitudinal Study

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  • Caroline A Jackson
  • Annette J Dobson
  • Leigh R Tooth
  • Gita D Mishra

Abstract

Background: Little is known about patterns of associative multimorbidity and their aetiology. Methods: Participants were from the Australian Longitudinal Study on Women’s Health. We included 4896 women born 1946–51, without multimorbidity in 1998. We identified multimorbidity patterns at survey 6 (2010) using factor analysis, and related these patterns to baseline lifestyle and socioeconomic factors using logistic regression. We dichotomised factor scores and determined odds ratios (ORs) with 95% confidence intervals (CIs) for associations between characteristics and odds of a high versus low factor score. Results: We identified five multimorbidity patterns: psychosomatic; musculoskeletal; cardiometabolic; cancer; and respiratory. Overweight and obesity were respectively associated with increased odds of having a high score for the musculoskeletal (adjusted ORs 1.45 [95% CI 1.23, 1.70] and 2.14 [95% CI 1.75, 2.60]) and cardiometabolic (adjusted ORs 1.53 [95% CI 1.31, 1.79] and 2.46 [95% CI 2.02, 2.98]) patterns. Physical inactivity was associated with increased odds of a high score for the psychosomatic, musculoskeletal and cancer patterns (adjusted ORs 1.41 [95% CI 1.13, 1.76]; 1.39 [95% CI 1.11, 1.74]; and 1.35 [95% CI 1.08, 1.69]). Smoking was associated with increased odds of a high score for the respiratory pattern. Education and ability to manage on income were associated with increased odds of a high score for the psychosomatic pattern (adjusted ORs 1.34 [95% CI 1.03, 1.75] and 1.73 [95% CI 1.37, 1.28], respectively) and musculoskeletal pattern (adjusted ORs 1.43 [95% CI 1.10, 1.87] and 1.38 [1.09, 1.75], respectively). Conclusions: Distinct multimorbidity patterns can be identified among mid-aged women. Social inequality, physical activity and BMI are risk factors common to multiple patterns and are appropriate targets for reducing the risk of specific multimorbidity groups in mid-life women.

Suggested Citation

  • Caroline A Jackson & Annette J Dobson & Leigh R Tooth & Gita D Mishra, 2016. "Lifestyle and Socioeconomic Determinants of Multimorbidity Patterns among Mid-Aged Women: A Longitudinal Study," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-16, June.
    • Handle: RePEc:plo:pone00:0156804
    DOI: 10.1371/journal.pone.0156804
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    1. Ingmar Schäfer & Eike-Christin von Leitner & Gerhard Schön & Daniela Koller & Heike Hansen & Tina Kolonko & Hanna Kaduszkiewicz & Karl Wegscheider & Gerd Glaeske & Hendrik van den Bussche, 2010. "Multimorbidity Patterns in the Elderly: A New Approach of Disease Clustering Identifies Complex Interrelations between Chronic Conditions," PLOS ONE, Public Library of Science, vol. 5(12), pages 1-10, December.
    2. 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.
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    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. Javier Alvarez-Galvez & Esther Ortega-Martin & Begoña Ramos-Fiol & Victor Suarez-Lledo & Jesus Carretero-Bravo, 2023. "Epidemiology, mortality, and health service use of local-level multimorbidity patterns in South Spain," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    4. David E. V. Olivares & Frank R. V. Chambi & Evelyn M. M. Chañi & Winston J. Craig & Sandaly O. S. Pacheco & Fabio J. Pacheco, 2017. "Risk Factors for Chronic Diseases and Multimorbidity in a Primary Care Context of Central Argentina: A Web-Based Interactive and Cross-Sectional Study," IJERPH, MDPI, vol. 14(3), pages 1-22, March.

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