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Background
We investigated the association between low cardiorespiratory fitness and liver fat content (LFC) in the general population.
Materials and Methods
We evaluated data from 2151 adults (51.1% women) from two population-based cohorts of the Study of Health in Pomerania (SHIP-2 and SHIP-TREND-0). We analysed the cross-sectional associations of peak oxygen uptake (VO2peak) with LFC, assessed by magnetic resonance imaging proton density fat fraction, as well as serum gamma-glutamyltransferase (GGT) and aminotransferase concentrations by multivariable regression models.
Results
We observed significant inverse associations of VO2peak with LFC and serum GGT, but not with serum aminotransferase levels. Specifically, a 1 L/min lower VO2peak was associated with a 1.09% (95% confidence interval [CI]: 0.45-1.73; P = .002) higher LFC and a 0.18 μkatal/L (95% CI: 0.09-0.26; P < .001) higher GGT levels. The adjusted odds ratio (OR) for the risk of prevalent hepatic steatosis (HS) by a 1 L/min decrease in VO2peak was 1.61 (95% CI: 1.22-2.13; P = .001). Compared to subjects with high VO2peak, obese and overweight individuals with low VO2peak had 1.78% (95% CI: 0.32-3.25; P = .017) and 0.94% (95% CI: 0.15-1.74; P = .021) higher mean LFC, respectively. Compared to those with high VO2peak, low VO2peak was independently associated with a higher risk of prevalent HS in the obese (adjusted-OR 2.29, 95% CI=1.48-3.56; P < .001) and overweight (adjusted OR 1.57, 95% CI=1.16-2.14; P = .04) groups.
Conclusions
Lower VO2peak was significantly associated with greater LFC and higher serum GGT levels in a population-based cohort of adult individuals. Our results suggest that low VO2peak might be a risk factor for HS.
Background: The global obesity epidemic is a major public health concern, and accurate diagnosis is essential for identifying at-risk individuals. Three-dimensional (3D) body scanning technology offers several advantages over the standard practice of tape measurements for diagnosing obesity. This study was conducted to validate body scan data from a German population-based cohort and explore clinical implications of this technology in the context of metabolic syndrome. Methods: We performed a cross-sectional analysis of 354 participants from the Study of Health in Pomerania that completed a 3D body scanning examination. The agreement of anthropometric data obtained from 3D body scanning with manual tape measurements was analyzed using correlation analysis and Bland–Altman plots. Classification agreement regarding abdominal obesity based on IDF guidelines was assessed using Cohen’s kappa. The association of body scan measures with metabolic syndrome components was explored using correlation analysis. Results: Three-dimensional body scanning showed excellent validity with slightly larger values that presumably reflect the true circumferences more accurately. Metabolic syndrome was highly prevalent in the sample (31%) and showed strong associations with central obesity. Using body scan vs. tape measurements of waist circumference for classification resulted in a 16% relative increase in the prevalence of abdominal obesity (61.3% vs. 52.8%). Conclusions: These results suggest that the prevalence of obesity may be underestimated using the standard method of tape measurements, highlighting the need for more accurate approaches.
The Apolipoprotein E (APOE) gene polymorphism (rs429358 and rs7412) shows a well-established association with lipid profiles, but its effect on cardiovascular disease is still conflicting. Therefore, we examined the association of different APOE alleles with common carotid artery intima-media thickness (CCA-IMT), carotid plaques, incident myocardial infarction (MI) and stroke. We analyzed data from 3327 participants aged 20–79 years of the population-based Study of Health in Pomerania (SHIP) from Northeast Germany with a median follow-up time of 14.5 years. Linear, logistic, and Cox-regression models were used to assess the associations of the APOE polymorphism with CCA-IMT, carotid plaques, incident MI and stroke, respectively. In our study, the APOE E2 allele was associated with lower CCA-IMT at baseline compared to E3 homozygotes (β: − 0.02 [95% CI − 0.04, − 0.004]). Over the follow-up, 244 MI events and 218 stroke events were observed. APOE E2 and E4 allele were not associated with incident MI (E2 HR: 1.06 [95% CI 0.68, 1.66]; E4 HR: 1.03 [95% CI 0.73, 1.45]) and incident stroke (E2 HR: 0.79 [95% CI 0.48, 1.30]; E4 HR: 0.96 [95% CI 0.66, 1.38]) in any of the models adjusting for potential confounders. However, the positive association between CCA-IMT and incident MI was more pronounced in E2 carriers than E3 homozygotes. Thus, our study suggests that while APOE E2 allele may predispose individuals to lower CCA-IMT, E2 carriers may be more prone to MI than E3 homozygotes as the CCA-IMT increases. APOE E4 allele had no effect on CCA-IMT, plaques, MI or stroke.
Objectives: An inverse relationship between education and cardiovascular risk has been described, however, the combined association of education, income, and neighborhood socioeconomic status with macrovascular disease is less clear. The aim of this study was to evaluate the association of educational level, equivalent household income and area deprivation with macrovascular disease in Germany.
Methods: Cross-sectional data from two representative German population-based studies, SHIP-TREND (n = 3,731) and KORA-F4 (n = 2,870), were analyzed. Multivariable logistic regression models were applied to estimate odds ratios and 95% confidence intervals for the association between socioeconomic determinants and macrovascular disease (defined as self-reported myocardial infarction or stroke).
Results: The study showed a higher odds of prevalent macrovascular disease in men with low and middle educational level compared to men with high education. Area deprivation and equivalent income were not related to myocardial infarction or stroke in any of the models.
Conclusion: Educational level, but not income or area deprivation, is significantly related to the macrovascular disease in men. Effective prevention of macrovascular disease should therefore start with investing in individual education.
Type 2 diabetes mellitus is one of the most challenging health problems for the next decades. The impact of type 2 diabetes mellitus on health care systems is largely driven by the increasing prevalence, the management of the disease and subsequent comorbidities, even in people with prediabetes or undiagnosed type 2 diabetes mellitus. An early detection of high risk groups is necessary to identify and modify risk factors such as obesity, physical inactivity or cigarette smoking which showed regional disparities in their distribution within a country. This leads to the assumption that there might be regional disparities regarding the prevalence and incidence of type 2 diabetes mellitus as well. For Germany as for other countries, comparable data on possible regional disparities in the prevalence and incidence of type 2 diabetes mellitus are missing. The aim of the present dissertation is to estimate the prevalence and incidence of type 2 diabetes mellitus on regional level within Germany, and to estimate the smoking prevalence as a modifiable risk factor in individuals with type 2 diabetes mellitus using data from the Diabetes Collaborative Research of Epidemiologic Studies consortium (DIAB CORE) within the Competence Net Diabetes in Germany. Well comparable data of five regional studies and one nationwide reference study are included: the Study of Health in Pomerania (SHIP); the Cardiovascular Disease, Living and Ageing in Halle Study (CARLA); the Dortmund Health Study (DHS); the Heinz Nixdorf Recall Study (HNR); the Cooperative Health Research in the Region of Augsburg Study (KORA); and the German National Health Interview and Examination Survey 1998 (GNHIES 98). First, the prevalence of type 2 diabetes mellitus was estimated. Data from five regional population-based studies and one nationwide study conducted between 1997 and 2006 with participants aged 45 to 74 years were analyzed. Type 2 diabetes mellitus prevalence estimates based on self-reports (standardized to the German population for the regional studies, reference date 2007/12/31) were compared. Of 11,688 participants of the regional studies, 1,008 had a known type 2 diabetes mellitus, corresponding to a prevalence of 8.6% (95% confidence interval [CI] 8.1% 9.1%). The standardized prevalence was highest in the East with 12.0% (95% CI 10.3% 13.7%) and lowest in the South of Germany with 5.8% (95% CI 4.9% 6.7%).Second, the incidence of type 2 diabetes mellitus was estimated. Data from participants (baseline age 45 to 74 years) from five regional population-based studies were included. The incidence rates per 1,000 person-years (95% CI) and the cumulative incidence (95% CI) from regional studies were directly standardized to the German population (reference date 2007/12/31) and weighted by inverse probability weights for losses to follow-up. Of 8,787 participants, 521 (5.9%) developed type 2 diabetes mellitus corresponding to an incidence rate of 11.8 per 1,000 person-years (95% CI 10.8 12.9). The incidence of known type 2 diabetes mellitus showed regional disparities within Germany. The incidence was highest in the East and lowest in the South of Germany with 16.9 (95% CI 13.3 21.8) vs. 9.0 (95% CI 7.4 11.1) per 1,000 person-years, respectively. Third, the smoking prevalence in participants aged 20 to 79 years with type 2 diabetes mellitus in the regional SHIP and the nationwide GNHIES 98 was estimated. Prevalence estimates of cigarette smoking were calculated using weights reflecting the European adult population (reference date 2005/12/31). The overall prevalence of current smoking was lower among participants with type 2 diabetes mellitus than among participants without type 2 diabetes mellitus (17.3% vs. 38.0% in SHIP and 24.7% vs. 32.1% in GNHIES 98). In both studies, the prevalence of current smoking was highest in men aged 20 to 39 years, in particular among men with type 2 diabetes mellitus. To conclude, considerable disparities in prevalence and incidence of type 2 diabetes mellitus indicate the need for interventions on the regional level within Germany. Former smoking was more prevalent among both men and women with type 2 diabetes mellitus in comparison to current and non-smoking. This finding probably reflects behavioural changes secondary to the disease onset and medical counselling. The finding that men aged 20 to 39 years with type 2 diabetes mellitus were more often current smokers than men without type 2 diabetes mellitus underpins the importance of smoking as one of the main modifiable risk factors for type 2 diabetes mellitus.