{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Lowry E"],"funding":["Medical Research Council"],"pagination":["1181-1192"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6760581"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["43(6)"],"pubmed_abstract":["Background
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.Methods
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 blood"],"journal":["International journal of obesity (2005)"],"pubmed_title":["Understanding the complexity of glycaemic health: systematic bio-psychosocial modelling of fasting glucose in middle-age adults; a DynaHEALTH study."],"pmcid":["PMC6760581"],"funding_grant_id":["MR/M013138/1","MR/M013138/2"],"pubmed_authors":["Karhunen V","Keinanen-Kiukaanniemi S","Lowry E","Puukka K","Auvinen J","Jarvelin MR","Rautio N","Lewin A","Prokopenko I","Herzig KH","Ala-Mursula L","Sebert S","Miettunen J"],"additional_accession":[]},"is_claimable":false,"name":"Understanding the complexity of glycaemic health: systematic bio-psychosocial modelling of fasting glucose in middle-age adults; a DynaHEALTH study.","description":"Background
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.Methods
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 blood","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Jun","modification":"2025-04-26T01:47:30.018Z","creation":"2020-05-21T19:18:36Z"},"accession":"S-EPMC6760581","cross_references":{"pubmed":["30120425"],"doi":["10.1038/s41366-018-0175-1"]}}