biostudies-literatureLowry EMedical Research Council1181-1192https://www.ebi.ac.uk/biostudies/studies/S-EPMC6760581biostudies-literatureUnknown43(6)<h4>Background</h4>The prevention of the risk of type 2 diabetes (T2D) is complicated by multidimensional interplays between biological and psychosocial factors acting at the individual level. To address the challenge we took a systematic approach, to explore the bio-psychosocial predictors of blood glucose in mid-age.<h4>Methods</h4>Based on the 31-year and 46-year follow-ups (5,078 participants, 43% male) of Northern Finland Birth Cohort 1966, we used a systematic strategy to select bio-psychosocial variables at 31 years to enable a data-driven approach. As selection criteria, the variable must be (i) a component of the metabolic syndrome or an indicator of psychosocial health using WHO guidelines, (ii) easily obtainable in general health check-ups and (iii) associated with fasting bloodInternational journal of obesity (2005)Understanding the complexity of glycaemic health: systematic bio-psychosocial modelling of fasting glucose in middle-age adults; a DynaHEALTH study.PMC6760581MR/M013138/1MR/M013138/2Karhunen VKeinanen-Kiukaanniemi SLowry EPuukka KAuvinen JJarvelin MRRautio NLewin AProkopenko IHerzig KHAla-Mursula LSebert SMiettunen JfalseUnderstanding the complexity of glycaemic health: systematic bio-psychosocial modelling of fasting glucose in middle-age adults; a DynaHEALTH study.<h4>Background</h4>The prevention of the risk of type 2 diabetes (T2D) is complicated by multidimensional interplays between biological and psychosocial factors acting at the individual level. To address the challenge we took a systematic approach, to explore the bio-psychosocial predictors of blood glucose in mid-age.<h4>Methods</h4>Based on the 31-year and 46-year follow-ups (5,078 participants, 43% male) of Northern Finland Birth Cohort 1966, we used a systematic strategy to select bio-psychosocial variables at 31 years to enable a data-driven approach. As selection criteria, the variable must be (i) a component of the metabolic syndrome or an indicator of psychosocial health using WHO guidelines, (ii) easily obtainable in general health check-ups and (iii) associated with fasting blood2019-01-01T00:00:00Z2019 Jun2025-04-26T01:47:30.018Z2020-05-21T19:18:36ZS-EPMC67605813012042510.1038/s41366-018-0175-1