Nina Rautio1, Tuulia Varanka-Ruuska2, Eeva Vaaramo3, Saranya Palaniswamy4, Rozenn Nedelec5, Jouko Miettunen6, Jaro Karppinen7, Juha Auvinen8, Marjo-Riitta Järvelin9, Sirkka Keinänen-Kiukaanniemi10, Sylvain Sebert11, Leena Ala-Mursula12. 1. Center for Life Course Health Research, University of Oulu, P.O. Box 5000, 90014 Oulu, Finland; Unit of Primary Health Care, Oulu University Hospital, OYS, P.O. Box 20, 90029 Oulu, Finland. Electronic address: nina.rautio@oulu.fi. 2. Center for Life Course Health Research, University of Oulu, P.O. Box 5000, 90014 Oulu, Finland; Kallio Primary Health Care Unit, Kirkkotie 4, 84100 Ylivieska, Finland. Electronic address: tuulia.varanka-ruuska@oulu.fi. 3. Center for Life Course Health Research, University of Oulu, P.O. Box 5000, 90014 Oulu, Finland. Electronic address: eeva.vaaramo@oulu.fi. 4. Center for Life Course Health Research, University of Oulu, P.O. Box 5000, 90014 Oulu, Finland; Biocenter Oulu, University of Oulu, P.O. Box 5000, 90014 Oulu, Finland. Electronic address: saranya.palaniswamy@oulu.fi. 5. Center for Life Course Health Research, University of Oulu, P.O. Box 5000, 90014 Oulu, Finland; Biocenter Oulu, University of Oulu, P.O. Box 5000, 90014 Oulu, Finland. Electronic address: rozenn.nedelec@oulu.fi. 6. Center for Life Course Health Research, University of Oulu, P.O. Box 5000, 90014 Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, P.O. Box 5000, 90014 Oulu, Finland. Electronic address: jouko.miettunen@oulu.fi. 7. Center for Life Course Health Research, University of Oulu, P.O. Box 5000, 90014 Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, P.O. Box 5000, 90014 Oulu, Finland; Finnish Institute of Occupational Health, Aapistie 1, 90220 Oulu, Finland. Electronic address: jaro.karppinen@oulu.fi. 8. Center for Life Course Health Research, University of Oulu, P.O. Box 5000, 90014 Oulu, Finland; Unit of Primary Health Care, Oulu University Hospital, OYS, P.O. Box 20, 90029 Oulu, Finland. Electronic address: juha.auvinen@oulu.fi. 9. Center for Life Course Health Research, University of Oulu, P.O. Box 5000, 90014 Oulu, Finland; Unit of Primary Health Care, Oulu University Hospital, OYS, P.O. Box 20, 90029 Oulu, Finland; MRC-PHE Centre for Environment and Health, Imperial College London, Praed Street Wing, St. Mary's Campus, Paddington, W2 IPG London, United Kingdom; Biocenter Oulu, University of Oulu, P.O. Box 5000, 90014 Oulu, Finland. 10. Center for Life Course Health Research, University of Oulu, P.O. Box 5000, 90014 Oulu, Finland; Unit of Primary Health Care, Oulu University Hospital, OYS, P.O. Box 20, 90029 Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, P.O. Box 5000, 90014 Oulu, Finland. Electronic address: sirkka.keinanen-kiukaanniemi@oulu.fi. 11. Center for Life Course Health Research, University of Oulu, P.O. Box 5000, 90014 Oulu, Finland; Biocenter Oulu, University of Oulu, P.O. Box 5000, 90014 Oulu, Finland; Department of Genomics, Imperial College London, South Kensington Campus, SW7 London, United Kingdom. Electronic address: sylvain.sebert@oulu.fi. 12. Center for Life Course Health Research, University of Oulu, P.O. Box 5000, 90014 Oulu, Finland. Electronic address: leena.ala-mursula@oulu.fi.
Abstract
AIMS: We explored whether registered unemployment is associated with impaired glucose metabolism in general population. METHODS: Based on Northern Finland Birth Cohort 1966 at 46 years, we analyzed the oral glucose tolerance tests of 1970 men and 2544 women in relation to their preceding three-year employment records in three categories of unemployment exposure: no (employed), low (≤1-year) and high exposure (>1-year). RESULTS: Among men, pre-diabetes was found in 19.2% of those with no unemployment, 23.0% with low and 27.0% with high exposure, the corresponding figures for screen-detected type 2 diabetes were 3.8%, 3.8% and 9.2% (p<0.01). Among women, analogous figures for pre-diabetes were 10.0%, 12.6% and 16.2% and for screen-detected type 2 diabetes 1.7%, 3.4% and 3.6% (p<0.01). Men with high exposure to unemployment had a higher risk for pre-diabetes (OR 1.61, CI 95% 1.03-2.51) and screen-detected type 2 diabetes (OR 2.58 95% CI 1.23-5.44) than employed men, after adjustment for education, smoking, alcohol intake, physical activity and body mass index. Among women, associations were attenuated in the adjusted models. CONCLUSIONS: High exposure to unemployment may predispose to type 2 diabetes in middle-aged men. For clinicians, awareness of the patient's unemployment status may be helpful in recognizing undiagnosed cases.
AIMS: We explored whether registered unemployment is associated with impaired glucose metabolism in general population. METHODS: Based on Northern Finland Birth Cohort 1966 at 46 years, we analyzed the oral glucose tolerance tests of 1970 men and 2544 women in relation to their preceding three-year employment records in three categories of unemployment exposure: no (employed), low (≤1-year) and high exposure (>1-year). RESULTS: Among men, pre-diabetes was found in 19.2% of those with no unemployment, 23.0% with low and 27.0% with high exposure, the corresponding figures for screen-detected type 2 diabetes were 3.8%, 3.8% and 9.2% (p<0.01). Among women, analogous figures for pre-diabetes were 10.0%, 12.6% and 16.2% and for screen-detected type 2 diabetes 1.7%, 3.4% and 3.6% (p<0.01). Men with high exposure to unemployment had a higher risk for pre-diabetes (OR 1.61, CI 95% 1.03-2.51) and screen-detected type 2 diabetes (OR 2.58 95% CI 1.23-5.44) than employed men, after adjustment for education, smoking, alcohol intake, physical activity and body mass index. Among women, associations were attenuated in the adjusted models. CONCLUSIONS: High exposure to unemployment may predispose to type 2 diabetes in middle-aged men. For clinicians, awareness of the patient's unemployment status may be helpful in recognizing undiagnosed cases.
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