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Asvold, B. O., Midthjell, K., Krokstad, S., Rangul, V., & Bauman, A. (2017). Prolonged sitting may increase diabetes risk in physically inactive individuals: an 11 year follow-up of the HUNT Study, Norway. Diabetologia, 60(5), 830–835.
Abstract: AIMS/HYPOTHESIS: We examined the association between sitting time and diabetes incidence, overall and by strata of leisure-time physical activity and BMI. METHODS: We followed 28,051 adult participants of the Nord-Trondelag Health Study (the HUNT Study), a population-based study, for diabetes incidence from 1995-1997 to 2006-2008 and estimated HRs of any diabetes by categories of self-reported total daily sitting time at baseline. RESULTS: Of 28,051 participants, 1253 (4.5%) developed diabetes during 11 years of follow-up. Overall, sitting >/=8 h/day was associated with a 17% (95% CI 2, 34) higher risk of developing diabetes compared with sitting </=4 h/day, adjusted for age, sex and education. However, the association was attenuated to a non-significant 9% (95% CI -5, 26) increase in risk after adjustment for leisure-time physical activity and BMI. The association between sitting time and diabetes risk differed by leisure-time physical activity (p Interaction = 0.01). Among participants with low leisure-time physical activity (</=2 h light activity per week and no vigorous activity), sitting 5-7 h/day and >/=8 h/day were associated with a 26% (95% CI 2, 57) and 30% (95% CI 5, 61) higher risk of diabetes, respectively, compared with sitting </=4 h/day. There was no corresponding association among participants with high leisure-time physical activity (>/=3 h light activity or >0 h vigorous activity per week). There was no statistical evidence that the association between sitting time and diabetes risk differed by obesity (p Interaction = 0.65). CONCLUSIONS/INTERPRETATION: Our findings suggest that total sitting time has little association with diabetes risk in the population as a whole, but prolonged sitting may contribute to an increased diabetes risk among physically inactive people.
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Folling, I. S., Kulseng, B., Midthjell, K., Rangul, V., & Helvik, A. - S. (2017). Individuals at high risk for type 2 diabetes invited to a lifestyle program: characteristics of participants versus non-participants (the HUNT Study) and 24-month follow-up of participants (the VEND-RISK Study). BMJ Open Diabetes Res Care, 5(1), e000368.
Abstract: OBJECTIVE: Prevention of type 2 diabetes mellitus is possible through lifestyle programs, but the effect depends on the program's content, resources, and setting. Lifestyle programs are often confronted with high rates of non-participation and attrition. This study invited individuals at high risk for type 2 diabetes to a lifestyle program in the Norwegian primary healthcare setting. The aims were to investigate possible differences in characteristics between participants and non-participants and to study the effect of the lifestyle program at 24-month follow-up for participants. RESEARCH DESIGN AND METHODS: Individuals identified at high risk for type 2 diabetes during the third survey of the Nord-Trondelag Health Study (HUNT3) from two municipalities (n=332) were invited to a lifestyle program (the VEND-RISK Study). A cross-sectional design was used to explore if the participants' characteristics differed from non-participants. A non-randomized, single-arm, pre-post examination was used to examine the effect of the lifestyle program on participants' characteristics at 24-month follow-up. RESULTS: Of all individuals at high risk for type 2 diabetes invited to the lifestyle program, 86% (287/332) declined to participate. Non-participating women had fewer years of education (p<0.001), compared with participating women. For men, no differences were seen between non-participants and participants. Among all participants (n=45) at 24-month follow-up, none had developed type 2 diabetes, and HbA1c (p<0.001) had decreased significantly. There was a small reduction in mean body mass index from baseline to 24 months that was not statistically significant. For women, waist circumference (-4.0 cm, p<0.001) decreased significantly. CONCLUSIONS: Future research regarding individuals at high risk for type 2 diabetes in the primary healthcare lifestyle program should focus on how to promote recruitment of women with low education. Participants attending this study's lifestyle program improved their cardiometabolic markers. CLINICAL TRIALS REGISTRATION: NCT01135901; Results.
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Hjort, R., Ahlqvist, E., Carlsson, P. - O., Grill, V., Groop, L., Martinell, M., et al. (2018). Overweight, obesity and the risk of LADA: results from a Swedish case-control study and the Norwegian HUNT Study. Diabetologia, 61(6), 1333–1343.
Abstract: AIMS/HYPOTHESIS: Excessive weight is a risk factor for type 2 diabetes, but its role in the promotion of autoimmune diabetes is not clear. We investigated the risk of latent autoimmune diabetes in adults (LADA) in relation to overweight/obesity in two large population-based studies. METHODS: Analyses were based on incident cases of LADA (n = 425) and type 2 diabetes (n = 1420), and 1704 randomly selected control participants from a Swedish case-control study and prospective data from the Norwegian HUNT Study including 147 people with LADA and 1,012,957 person-years of follow-up (1984-2008). We present adjusted ORs and HRs with 95% CI. RESULTS: In the Swedish data, obesity was associated with an increased risk of LADA (OR 2.93, 95% CI 2.17, 3.97), which was even stronger for type 2 diabetes (OR 18.88, 95% CI 14.29, 24.94). The association was stronger in LADA with low GAD antibody (GADA; <median) (OR 4.25; 95% CI 2.76, 6.52) but present also in LADA with high GADA (OR 2.14; 95% CI 1.42, 3.24). In the Swedish data, obese vs normal weight LADA patients had lower GADA levels, better beta cell function, and were more likely to have low-risk HLA-genotypes. The combination of overweight and family history of diabetes (FHD) conferred an OR of 4.57 (95% CI 3.27, 6.39) for LADA and 24.51 (95% CI 17.82, 33.71) for type 2 diabetes. Prospective data from HUNT indicated even stronger associations; HR for LADA was 6.07 (95% CI 3.76, 9.78) for obesity and 7.45 (95% CI 4.02, 13.82) for overweight and FHD. CONCLUSIONS/INTERPRETATION: Overweight/obesity is associated with increased risk of LADA, particularly when in combination with FHD. These findings support the hypothesis that, even in the presence of autoimmunity, factors linked to insulin resistance, such as excessive weight, could promote onset of diabetes.
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Jolle, A., Asvold, B. O., Holmen, J., Carlsen, S. M., Tuomilehto, J., Bjorngaard, J. H., et al. (2018). Basic lifestyle advice to individuals at high risk of type 2 diabetes: a 2-year population-based diabetes prevention study. The DE-PLAN intervention in the HUNT Study, Norway. BMJ Open Diabetes Res Care, 6(1), e000509.
Abstract: Objective: Among individuals at high risk for diabetes identified through a population survey, we performed an intervention study with basic lifestyle advice aiming to prevent diabetes. Research design and methods: Among 50 806 participants in the HUNT3 Survey (2006-2008), 5297 individuals with Finnish Diabetes Risc Score (FINDRISC >/=15 were invited to an oral glucose tolerance test (OGTT) and an education session with lifestyle advice, and 2634 (49.7%) attended. Among them, 2380 people without diabetes were included in the prevention study with repeated examinations and education sessions after 6, 12, and 24 months. We examined participation, diabetes incidence, glycemia, and adiposity during follow-up. Results: Of 2380 participants, 1212 (50.9%) participated in >/=3 of the four examinations. Diabetes was detected in 3.5%, 3.1%, and 4.0% of individuals at the 6-month, 12-month, and 24-month examinations, respectively, indicating a 10.3% 2-year diabetes incidence. Mean (95% CI) increases from baseline to 2-year follow-up were 0.30 (0.29 to 0.32) percentage points (3.3 (3.2 to 3.5) mmol/mol) for Hemoglobin A1c, 0.13 (0.10 to 0.16) mmol/L for fasting serum-glucose, 0.46 (0.36 to 0.56) mmol/L for 2-hour OGTT s-glucose, 0.30 (0.19 to 0.40) kg/m(2) forbody mass index (BMI) (all p<0.001) and -0.5 (-0.9 to -0.2) cm for waist circumference (p=0.004), with broadly similar estimates by baseline age, sex, education, depressive symptoms, BMI, physical activity, and family history of diabetes. Only 206 (8.7%) participants had evidence of >5% weight loss during follow-up; their fasting and 2-hour s-glucose did not increase, and HbA1c increased less than in other participants. Conclusion: Basic lifestyle advice given to high-risk individuals during three group sessions with 6-month intervals was not effective in reducing 2-year diabetes risk.
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Naicker, K., Manuel, D., Overland, S., Skogen, J. C., Johnson, J. A., Sivertsen, B., et al. (2018). Population attributable fractions for Type 2 diabetes: an examination of multiple risk factors including symptoms of depression and anxiety. Diabetol Metab Syndr, 10, 84.
Abstract: Background: Population attributable fractions (PAFs) are frequently used to quantify the proportion of Type 2 diabetes cases due to single risk factors, an approach which may result in an overestimation of their individual contributions. This study aimed to examine Type 2 diabetes incidence associated with multiple risk factor combinations, including the metabolic syndrome, behavioural factors, and specifically, depression and anxiety. Methods: Using data from the population-based HUNT cohort, we examined incident diabetes in 36,161 Norwegian adults from 1995 to 2008. PAFs were calculated using Miettinen's case-based formula, using relative risks estimated from multivariate regression models. Results: Overall, the studied risk factors accounted for 50.5% of new diabetes cases (78.2% in men and 47.0% in women). Individuals exposed to both behavioural and metabolic factors were at highest risk of diabetes onset (PAF = 22.9%). Baseline anxiety and depression contributed a further 13.6% of new cases to this combination. Men appeared to be particularly vulnerable to the interaction between metabolic, behavioural and psychological risk factors. Conclusion: This study highlights the importance of risk factor clustering in diabetes onset, and is the first that we know of to quantify the excess fraction of incident diabetes associated with psychological risk factor interactions.
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Naicker, K., Overland, S., Johnson, J. A., Manuel, D., Skogen, J. C., Sivertsen, B., et al. (2017). Symptoms of anxiety and depression in type 2 diabetes: Associations with clinical diabetes measures and self-management outcomes in the Norwegian HUNT study. Psychoneuroendocrinology, 84, 116–123.
Abstract: OBJECTIVE: To determine if symptoms of depression and anxiety are differentially associated with clinical diabetes measures and self-management behaviours in individuals with Type 2 diabetes, and whether these associations vary by patient sex. RESEARCH DESIGN AND METHODS: A cross-sectional analysis using data from 2035 adults with Type 2 diabetes in the Nord-Trondelag Health Study. Multivariate logistic regression was used to explore associations between symptoms of depression and anxiety and waist girth, HDL cholesterol, systolic blood pressure, triglycerides, c-reactive protein, glycemic control, diet adherence, exercise, glucose monitoring, foot checks for ulcers, and the subjective patient experience. Analyses were stratified by sex. RESULTS: Depression was associated with a lower likelihood of avoiding saturated fats (OR=0.20 [95% CI: 0.06, 0.68]) and increased odds of physical inactivity (OR=1.69 [95% CI: 1.37, 2.72]). Anxiety was associated with increased odds of eating vegetables (OR=1.66 [95% CI: 1.02, 2.73]), and an over two-fold increase of feeling that having diabetes is difficult. In women, anxiety was associated with elevated c-reactive protein levels (OR=1.57 [95% CI: 1.05, 2.34]). In men, depressive symptoms were associated with elevated HbA1c (OR=5.00 [95% CI: 1.15, 8.23). CONCLUSIONS: Symptoms of depression and anxiety were differentially associated with some key diabetes-related measures. Our results suggest sex-specific differences with respect to two important clinical outcomes (i.e., anxiety and CRP in women and depression and glycemic control in men). These findings should alert practitioners to the importance of detection and management of psychological symptoms in individuals with Type 2 diabetes.
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Simic, A., Hansen, A. F., Asvold, B. O., Romundstad, P. R., Midthjell, K., Syversen, T., et al. (2017). Trace element status in patients with type 2 diabetes in Norway: The HUNT3 Survey. J Trace Elem Med Biol, 41, 91–98.
Abstract: Several epidemiological studies have indicated that a number of trace elements may play a role in type 2 diabetes (T2D). We investigated the association between prevalent T2D and the concentrations of 25 trace elements in whole blood, and the relationships between T2D duration and blood levels of the trace elements that we found to be related to T2D prevalence. In this population based case-control study, 267 patients with self-reported T2D and 609 controls (frequency matched), were selected from the third Nord-Trondelag Health Survey. Trace element blood levels were determined by high resolution inductively coupled plasma-mass spectrometry. Multivariable conditional logistic regression and multivariable linear regression were used to estimate associations. The prevalence of T2D was positively associated with boron, calcium and silver, and inversely associated with indium, lead and magnesium (Ptrend<0.05). We found no statistical evidence for associations between blood levels of arsenic, bromine, cadmium, cesium, chromium, copper, gallium, gold, manganese, mercury, molybdenum, nickel, rubidium, selenium, strontium, tantalum, thallium, tin and zinc and T2D prevalence. After corrections for multiple testing, associations remained significant for calcium and lead (Qtrend<0.05), and borderline significant for magnesium, silver and boron. With increasing disease duration, higher calcium levels were observed (P<0.05). This study suggests an association between prevalent T2D and blood levels of boron, calcium, indium, lead, magnesium and silver.
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Sorgjerd, E. P. (2018). Type 1 diabetes-related autoantibodies in different forms of diabetes. Curr Diabetes Rev, .
Abstract: Autoantibodies against Glutamic Acid Decarboxylase (GADA), insulinoma antigen-2 (IA-2A), insulin (IAA) and the most recently Zinc transporter 8 (ZnT8A) are one of the most reliable biomarkers for autoimmune diabetes in both children and adults. They are today the only biomarkers that can distinguish Latent autoimmune diabetes in adults (LADA) from phenotypically type 2 diabetes. As the frequency of autoantibodies at diagnosis in childhood type 1 diabetes depends on age, GADA is by far the most common in adult onset autoimmune diabetes, especially LADA. Being multiple autoantibody positive have also shown to be more common in childhood diabetes compared to adult onset diabetes, and multiple autoantibody positivity have a high predictive value of childhood type 1 diabetes. Autoantibodies have shown inconsistent results to predict diabetes in adults. Levels of autoantibodies are reported to cause heterogeneity in LADA. Reports indicate that individuals with high levels of autoantibodies have a more type 1 diabetes like phenotype and individuals with low levels of autoantibody positivity have a more type 2 diabetes like phenotype. It is also well known that autoantibody levels can fluctuate and transient autoantibody positivity in adult onset autoimmune diabetes have been reported to affect the phenotype.
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Sorgjerd, E. P. (2018). Type 1 diabetes-related autoantibodies in different forms of diabetes. Curr Diabetes Rev, .
Abstract: Autoantibodies against Glutamic Acid Decarboxylase (GADA), insulinoma antigen-2 (IA-2A), insulin (IAA) and the most recently Zinc transporter 8 (ZnT8A) are one of the most reliable biomarkers for autoimmune diabetes in both children and adults. They are today the only biomarkers that can distinguish Latent autoimmune diabetes in adults (LADA) from phenotypically type 2 diabetes. As the frequency of autoantibodies at diagnosis in childhood type 1 diabetes depends on age, GADA is by far the most common in adult onset autoimmune diabetes, especially LADA. Being multiple autoantibody positive have also shown to be more common in childhood diabetes compared to adult onset diabetes, and multiple autoantibody positivity have a high predictive value of childhood type 1 diabetes. Autoantibodies have shown inconsistent results to predict diabetes in adults. Levels of autoantibodies are reported to cause heterogeneity in LADA. Reports indicate that individuals with high levels of autoantibodies have a more type 1 diabetes like phenotype and individuals with low levels of autoantibody positivity have a more type 2 diabetes like phenotype. It is also well known that autoantibody levels can fluctuate and transient autoantibody positivity in adult onset autoimmune diabetes have been reported to affect the phenotype.
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