Glycaemic status and depressive symptoms among adults in Germany: results from the German Health Interview and Examination Survey for Adults (DEGS1).

AIMS: To examine the association between glycaemic status and depressive symptoms in a nationwide sample of the adult population in Germany. METHODS: We conducted a cross-sectional analysis of data from 6385 participants aged 18-79 years in the nationwide German Health Interview and Examination Survey for Adults 2008-2011 (DEGS1). Glycaemic status was classified as follows: diagnosed diabetes (self-reported diagnosis or receiving antidiabetes medication); undiagnosed diabetes (HbA1c ≥48 mmol/mol [≥6.5%]); prediabetes (HbA1c 39-47 mmol/mol [5.7-6.4%]); or normoglycaemia (HbA1c <39 mmol/mol [<5.7%]). Current depressive symptoms were measured using the Patient Health Questionnaire depression scale (PHQ-9) and defined as elevated depressive symptoms (PHQ-9 score ≥10 points; dichotomous variable) and severity of depressive symptoms (PHQ-9 score, range 0-27 points; continuous variable). Associations of glycaemic status and HbA1c with both depressive symptoms variables were analysed using multivariable logistic (elevated depressive symptoms) and linear (severity of depressive symptoms) regression models. RESULTS: Compared with normoglycaemia, diagnosed diabetes, but not prediabetes or undiagnosed diabetes, was associated with elevated depressive symptoms (odds ratio 1.55, 95% CI 1.00-2.41) and severity of depressive symptoms (ß coefficient 0.71, 95% CI 0.23-1.19) in models adjusting for sociodemographics and health behaviours. Associations were similar among people with diagnosed diabetes taking and not taking antidiabetes medication. Among people without diagnosed diabetes, no associations between HbA1c and depressive symptoms were found. CONCLUSIONS: Diagnosed diabetes, but not prediabetes, undiagnosed diabetes or HbA1c , was associated with depressive symptoms among adults in Germany. Studies examining psychosocial and biological mechanisms that may potentially explain relationships between diagnosed diabetes and depressive symptoms are needed.

Temporal changes in the prevalence of diagnosed diabetes, undiagnosed diabetes and prediabetes: findings from the German Health Interview and Examination Surveys in 1997-1999 and 2008-2011.

AIMS: Nationally representative data on temporal changes in the prevalence of diagnosed diabetes, as well as undiagnosed diabetes and prediabetes, have been lacking in Germany as in most other European countries. We aimed to fill this gap using data from nationwide examination surveys of German adults. METHODS: The study population comprised 18-79-year-old participants from the German Health Interview and Examination Surveys in 1997-1999 (GNHIES98, n = 6655) and 2008-2011 (DEGS1, n = 7017). Participants were classified as having diagnosed diabetes based on self-reported physician-diagnosed diabetes or the use of anti-diabetes agents. Among those without diagnosed diabetes, HbA1c measures were used to define undiagnosed diabetes [≥ 48 mmol/mol (≥ 6.5%)] or prediabetes [39-47 mmol/mol (5.7-6.4%)]. RESULTS: Although the age- and sex-standardized prevalence of total diabetes remained stable between 1997-1999 at 9.3% (95% CI 8.3-10.5%) and 2008-2011 at 9.2% (8.3-10.3%), the prevalence of diagnosed diabetes increased from 5.6% (4.9-6.3%) to 7.2% (6.5-8.0%), whereas the prevalence of undiagnosed diabetes decreased from 3.8% (3.1-4.6%) to 2.0% (1.5-2.7%), resulting in a decreased proportion of undiagnosed diabetes (40.9% vs. 21.7%). Over the same period, the prevalence of prediabetes decreased from 27.7% (25.6-29.8%) to 20.8% (18.2-23.7%). Observed temporal changes were not explained by changes in BMI, sport activity and educational level. CONCLUSIONS: The two nationwide surveys indicate a shift from undiagnosed to diagnosed diabetes. However, the unchanged prevalence of total diabetes and the considerably high proportion of prediabetes strongly call for a continued and concerted effort in diabetes prevention among German adults.

Residential traffic and incidence of Type 2 diabetes: the German Health Interview and Examination Surveys.

AIMS: To investigate whether an indicator of overall traffic intensity is related to the risk of Type 2 diabetes in a nationwide cohort. METHODS: The study population comprised 3604 adults aged 18-79 years and without diabetes from the German National Health Interview and Examination Survey (GNHIES98, 1997-1999) who participated again in a follow-up survey (DEGS1, 2008-2011). The association between the participants' reported traffic intensity at their residential address and Type 2 diabetes incidence was examined using logistic regression models. RESULTS: During a mean of 12.1 years of follow-up, 252 of the participants included in the study developed Type 2 diabetes. Compared with people living in traffic-calmed areas, odds ratios were 1.15 (95% CI 0.80-1.67) for people living on moderately busy side streets, 1.11 (95% CI 0.69-1.80) for people living on considerably busy side streets, 1.41 (95% CI 0.96-2.08) for people living on heavily busy roads, and 1.97 (95% CI 1.07-3.64) for people living on extremely busy roads, after adjusting for age, sex, active and passive smoking, type of heating, education, BMI, waist circumference, sport activity and parental diabetes history. CONCLUSIONS: The twofold higher risk of Type 2 diabetes observed for people exposed to intense traffic in this nationwide cohort extends the limited evidence from previous selected populations. Although the underlying traffic-related components and their biological mechanisms still need to be unravelled, traffic exposure control should be considered in public health strategies to reduce the global burden of diabetes.