Jan Koetsenruijter1, Nathalie van Eikelenboom2, Jan van Lieshout2, Ivo Vassilev3, Christos Lionis4, Elka Todorova5, Mari Carmen Portillo3, Christina Foss6, Manuel Serrano Gil7, Poli Roukova5, Agapi Angelaki4, Agurtzane Mujika8, Ingrid Ruud Knutsen6, Anne Rogers3, Michel Wensing2. 1. Radboud University Medical Center, Radboud Institute for Health Sciences, Department of IQ Healthcare, Nijmegen, The Netherlands. Electronic address: jan.koetsenruijter@radboudumc.nl. 2. Radboud University Medical Center, Radboud Institute for Health Sciences, Department of IQ Healthcare, Nijmegen, The Netherlands. 3. NIHR Wessex CLAHRC, Faculty of Health Sciences, University of Southampton, Hampshire, UK. 4. Clinic of Social and Family Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece. 5. Department of Economic Sociology, University of National and World Economy, Sofia, Bulgaria. 6. University of Oslo, Institute for Health and Society, Oslo, Norway. 7. Education, Health and Society Foundation, Murcia, Spain. 8. School of Nursing, University of Navarra, Pamplona, Spain.
Abstract
OBJECTIVE: The objective of this study was to explore which aspects of social networks are related to self-management capabilities and if these networks have the potential to reduce the adverse health effects of deprivation. METHODS: In a cross-sectional study we recruited type 2 diabetes patients in six European countries. Data on self-management capabilities was gathered through written questionnaires and data on social networks characteristics and social support through subsequent personal/telephone interviews. We used regression modelling to assess the effect of social support and education on self-management capabilities. RESULTS: In total 1692 respondents completed the questionnaire and the interview. Extensive informational networks, emotional networks, and attendance of community organisations were linked to better self-management capabilities. The association of self-management capabilities with informational support was especially strong in the low education group, whereas the association with emotional support was stronger in the high education group. CONCLUSION: Some of the social network characteristics showed a positive relation to self-management capabilities. The effect of informational support was strongest in low education populations and may therefore provide a possibility to reduce the adverse impact of low education on self-management capabilities. PRACTICE IMPLICATIONS: Self-management support interventions that take informational support in patients' networks into account may be most effective, especially in deprived populations.
OBJECTIVE: The objective of this study was to explore which aspects of social networks are related to self-management capabilities and if these networks have the potential to reduce the adverse health effects of deprivation. METHODS: In a cross-sectional study we recruited type 2 diabetespatients in six European countries. Data on self-management capabilities was gathered through written questionnaires and data on social networks characteristics and social support through subsequent personal/telephone interviews. We used regression modelling to assess the effect of social support and education on self-management capabilities. RESULTS: In total 1692 respondents completed the questionnaire and the interview. Extensive informational networks, emotional networks, and attendance of community organisations were linked to better self-management capabilities. The association of self-management capabilities with informational support was especially strong in the low education group, whereas the association with emotional support was stronger in the high education group. CONCLUSION: Some of the social network characteristics showed a positive relation to self-management capabilities. The effect of informational support was strongest in low education populations and may therefore provide a possibility to reduce the adverse impact of low education on self-management capabilities. PRACTICE IMPLICATIONS: Self-management support interventions that take informational support in patients' networks into account may be most effective, especially in deprived populations.
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