Health behaviour, social support, socio-economic status and the 5-year progression of multimorbidity: Results from the MultiCare Cohort Study

Author:

Schäfer Ingmar1ORCID,Hansen Heike1,Kaduszkiewicz Hanna2,Bickel Horst3,Fuchs Angela4,Gensichen Jochen56,Maier Wolfgang7,Riedel-Heller Steffi G8,König Hans-Helmut9,Dahlhaus Anne10,Schön Gerhard11,Weyerer Siegfried12,Wiese Birgitt13,van den Bussche Hendrik1,Scherer Martin1

Affiliation:

1. Department of Primary Medical Care, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

2. Institute of General Practice, Medical Faculty, University of Kiel, Kiel, Germany

3. Department of Psychiatry, Technical University Munich, Munich, Germany

4. Institute of General Practice, University Düsseldorf, Düsseldorf, Germany

5. Institute of General Practice, University Hospital Jena, Jena, Germany

6. Institute of General Practice and Family Medicine, University Hospital of Ludwig-Maximilians-University Munich, München, Germany

7. Department of Psychiatry and Psychotherapy, University Bonn, Bonn, Germany

8. Institute for Social Medicine, Occupational Health and Public Health, University Leipzig, Leipzig, Germany

9. Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

10. Institute of General Practice, Goethe University Frankfurt am Main, Frankfurt am Main, Germany

11. Department of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

12. Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany

13. Institute of General Practice, WG Medical Statistics and IT-Infrastructure, Hannover Medical School, Hannover, Germany

Abstract

Background: Multimorbidity in elderly patients is a major challenge for physicians, because of a high prevalence of and associations with many adverse outcomes. However, the mechanisms of progressing multimorbidity are not well-understood. The aim of our study was to determine if the progression of multimorbidity is influenced by health behaviour and social support and to analyse if the patients’ socio-economic status had an effect on these prognostic factors. Methods: The study was designed as prospective cohort study based on interviews of 158 GPs and 3189 patients randomly selected from GP records (response rate: 46.2%). Patients were aged 65–85 years at recruitment and observed in four waves of data collection (dropout rate: 41.5%). Statistical analyses of the ‘hot deck’ imputed data included multilevel mixed-effects linear regression allowing for random effects at the study centre and GP practice within study centre level. Results: Regarding cardiovascular and metabolic diseases, multimorbidity progressed more rapidly in patients who reported less physical activity ( ß = −0.28; 95% confidence interval = −0.35 to −0.20), had more tobacco-related pack years (0.15; 0.07–0.22) and consumed less alcohol (−0.21; −0.31 to −0.12) at baseline. Multimorbidity related to psychiatric and pain-related disorders progressed more rapidly if the patients had less perceived social support (−0.31; −0.55 to −0.07) and reported less physical activity (−0.08; −0.15 to −0.02) at baseline. Education and income only slightly modified the effects of these variables. Conclusion: Depending on the multimorbidity cluster, different strategies should be used for slowing down the progression of multimorbidity. Changing lifestyle and increasing social support are beneficial for the entire group of elderly multimorbid patients – regardless of their socio-economic status. Registration: ISRCTN89818205

Funder

Bundesministerium für Bildung und Forschung

Publisher

SAGE Publications

Subject

General Earth and Planetary Sciences,General Environmental Science

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