Titre :
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Social support and self-management capabilities in diabetes patients : An international observational study (2016)
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Auteurs :
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KOETSENRUIJTER J.
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Type de document :
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Article : texte imprimé
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Dans :
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Patient Education and Counseling (Vol. 99 n° 4, Avril 2016)
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Article en page(s) :
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pp.638-643
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Note générale :
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biblio.
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Langues:
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Anglais
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Catégories :
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SOUTIEN SOCIAL
DIABETE
PATIENT
GESTION DE SOI
AUTONOMIE
EDUCATION POUR LA SANTE
INEGALITE SOCIALE DE SANTE
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Mots-clés:
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SOUTIEN SOCIAL
;
DIABETE
;
PATIENT
;
GESTION DE SOI
;
AUTONOMIE
;
EDUCATION POUR LA SANTE
;
MALADIE CHRONIQUE
;
INEGALITE DE SANTE
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Résumé :
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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.
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Note de contenu :
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SCIENTIFIQUE
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