The association of multimorbidity, loneliness, social exclusion and network size: findings from the population-based German Ageing Survey

BACKGROUND: The aim of this study was to examine the association between multimorbidity and (i) loneliness, (ii) social exclusion and (iii) network size, respectively. METHODS: Cross-sectional data from a German representative sample of community-dwelling adults aged 40 and over was used (N = 7604). Multimorbidity was indicated with the presence of two or more diseases. Self-rated loneliness was assessed with a short form of the validated De Jong Gierveld Loneliness Scale and social exclusion was measured with a validated scale developed by Bude and Lantermann. Counts of important people in regular contact represented the network size of respondents. RESULTS: Multimorbidity was present in 68% of the sample. While controlling for potential confounders, multiple linear regression analysis yielded that multimorbidity was associated with increased loneliness (b = 0.08; p < 0.001) and increased social exclusion (b = 0.10; p < 0.01). Multimorbidity was also associated with an increased network size (b = 0.27; p < 0.001). CONCLUSION: While there was an association between multimorbidity and increased social exclusion as well as increased loneliness, regressions also revealed an association between multimorbidity and an increased network size. Although the association between multimorbidity and our outcome measures is weak, its complex nature should be investigated further using a longitudinal approach.