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

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The association of multimorbidity, loneliness, social exclusion and network size: findings from the population-based German Ageing Survey. / Kristensen, Kaja; König, Hans-Helmut; Hajek, André.

in: BMC PUBLIC HEALTH, Jahrgang 19, Nr. 1, 28.10.2019, S. 1383.

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@article{d3ba1de71b7046959db79fa548396c4d,
title = "The association of multimorbidity, loneliness, social exclusion and network size: findings from the population-based German Ageing Survey",
abstract = "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.",
author = "Kaja Kristensen and Hans-Helmut K{\"o}nig and Andr{\'e} Hajek",
year = "2019",
month = oct,
day = "28",
doi = "10.1186/s12889-019-7741-x",
language = "English",
volume = "19",
pages = "1383",
journal = "BMC PUBLIC HEALTH",
issn = "1471-2458",
publisher = "BioMed Central Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - The association of multimorbidity, loneliness, social exclusion and network size: findings from the population-based German Ageing Survey

AU - Kristensen, Kaja

AU - König, Hans-Helmut

AU - Hajek, André

PY - 2019/10/28

Y1 - 2019/10/28

N2 - 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.

AB - 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.

U2 - 10.1186/s12889-019-7741-x

DO - 10.1186/s12889-019-7741-x

M3 - SCORING: Journal article

C2 - 31660910

VL - 19

SP - 1383

JO - BMC PUBLIC HEALTH

JF - BMC PUBLIC HEALTH

SN - 1471-2458

IS - 1

ER -