Anna Serlachius1,2, Marko Elovainio3,4, Markus Juonala5,6, Steven Shea7,8, Matthew Sabin9,10, Terho Lehtimäki11,12, Olli Raitakari5,13, Liisa Keltikangas-Järvinen3, Laura Pulkki-Råback3,14. 1. Institute of Behavioural Sciences, The University of Helsinki, P.O. Box 9, 00014, Helsinki, Finland. anna.serlachius@helsinki.fi. 2. The Department of Medicine, Division of General Medicine, Columbia University, New York City, NY, USA. anna.serlachius@helsinki.fi. 3. Institute of Behavioural Sciences, The University of Helsinki, P.O. Box 9, 00014, Helsinki, Finland. 4. Institute for Health and Welfare, Helsinki, Finland. 5. Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland. 6. The Division of Medicine, Turku University Hospital, Turku, Finland. 7. The Department of Medicine, Division of General Medicine, Columbia University, New York City, NY, USA. 8. The Department of Epidemiology, Joseph Mailman School of Public Health, Columbia University, New York City, NY, USA. 9. The Department of Paediatrics, University of Melbourne, Melbourne, Australia. 10. Murdoch Childrens Research Institute, Royal Children's Hospital, Melbourne, Australia. 11. The Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland. 12. School of Medicine, University of Tampere, Tampere, Finland. 13. The Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland. 14. The Collegium for Advanced Studies, University of Helsinki, Helsinki, Finland.
Abstract
PURPOSE: The psychosocial determinants of prediabetes are poorly understood. The aims of our study were (1) to analyse the association between perceived social support in young adulthood and fasting glucose levels and prediabetes in mid-adulthood in a cohort of healthy Finns, (2) to explore whether body mass index (BMI), inflammation or depression mediate this relationship, (3) and to examine the association between social support trajectory groups and fasting glucose. METHOD: A prospective design was used with an analytic sample of 1250 participants aged 3-18 years at baseline (1980) and aged 12-39 years when social support was measured. Fasting glucose and prediabetes were assessed 32 years after baseline. Linear and logistic regression was used to examine the association between social support and the outcome measures. A bootstrapping technique was used to examine mediation effects. RESULTS: Social support was associated with future glucose levels in women after adjusting for childhood socioeconomic status (SES) and youth depression (β = -0.136, p = 0.001) and also predicted prediabetes in women after adjusting for childhood SES (β = 1.31, 95 % CI 1.02 to 1.69, p = 0.031). Both associations were attenuated after adjusting for BMI in mid-adulthood. BMI was found to mediate the relationship between social support and prediabetes in women (β for indirect effect β = 0.09, SE = 0.03, CI = 0.03 to 0.16). CONCLUSION: Low perceived social support in young adulthood is associated with high fasting glucose and prediabetes in mid-adulthood in women but not men. The association between social support and prediabetes in women can be partly explained by BMI.
PURPOSE: The psychosocial determinants of prediabetes are poorly understood. The aims of our study were (1) to analyse the association between perceived social support in young adulthood and fasting glucose levels and prediabetes in mid-adulthood in a cohort of healthy Finns, (2) to explore whether body mass index (BMI), inflammation or depression mediate this relationship, (3) and to examine the association between social support trajectory groups and fasting glucose. METHOD: A prospective design was used with an analytic sample of 1250 participants aged 3-18 years at baseline (1980) and aged 12-39 years when social support was measured. Fasting glucose and prediabetes were assessed 32 years after baseline. Linear and logistic regression was used to examine the association between social support and the outcome measures. A bootstrapping technique was used to examine mediation effects. RESULTS: Social support was associated with future glucose levels in women after adjusting for childhood socioeconomic status (SES) and youth depression (β = -0.136, p = 0.001) and also predicted prediabetes in women after adjusting for childhood SES (β = 1.31, 95 % CI 1.02 to 1.69, p = 0.031). Both associations were attenuated after adjusting for BMI in mid-adulthood. BMI was found to mediate the relationship between social support and prediabetes in women (β for indirect effect β = 0.09, SE = 0.03, CI = 0.03 to 0.16). CONCLUSION: Low perceived social support in young adulthood is associated with high fasting glucose and prediabetes in mid-adulthood in women but not men. The association between social support and prediabetes in women can be partly explained by BMI.
Entities:
Keywords:
Fasting glucose; Prediabetes; Prospective study; Social support; Type 2 diabetes
Authors: Marko Elovainio; Liisa Keltikangas-Järvinen; Laura Pulkki-Råback; Mika Kivimäki; Sampsa Puttonen; Liisa Viikari; Leena Räsänen; Kristiina Mansikkaniemi; Jorma Viikari; Olli T Raitakari Journal: Psychol Med Date: 2006-04-20 Impact factor: 7.723
Authors: Olli T Raitakari; Markus Juonala; Tapani Rönnemaa; Liisa Keltikangas-Järvinen; Leena Räsänen; Matti Pietikäinen; Nina Hutri-Kähönen; Leena Taittonen; Eero Jokinen; Jukka Marniemi; Antti Jula; Risto Telama; Mika Kähönen; Terho Lehtimäki; Hans K Akerblom; Jorma S A Viikari Journal: Int J Epidemiol Date: 2008-02-08 Impact factor: 7.196
Authors: Allison R Kaup; Amy L Byers; Cherie Falvey; Eleanor M Simonsick; Suzanne Satterfield; Hilsa N Ayonayon; Stephen F Smagula; Susan M Rubin; Kristine Yaffe Journal: JAMA Psychiatry Date: 2016-05-01 Impact factor: 21.596
Authors: Markus Juonala; Jonna Juhola; Costan G Magnussen; Peter Würtz; Jorma S A Viikari; Russell Thomson; Ilkka Seppälä; Jussi Hernesniemi; Mika Kähönen; Terho Lehtimäki; Mikko Hurme; Risto Telama; Vera Mikkilä; Carita Eklund; Leena Räsänen; Mirka Hintsanen; Liisa Keltikangas-Järvinen; Mika Kivimäki; Olli T Raitakari Journal: J Clin Endocrinol Metab Date: 2011-07-21 Impact factor: 5.958