The Relationship between Thyroid Function and Depressive Symptoms-the FIN-D2D Population-Based Study.

The association between thyroid function and depression is controversial. Both conditions express many similar symptoms, but the studies done give conflicting results. This study draws on a random, population-based sample of 4500 subjects aged 45-75 years old from Finland. The basic clinical study was done in 2007 for 1396 men and 1500 women (64% participation rate). Thyroid stimulating hormone (TSH), free thyroxine (F-T4), and free triiodothyronine (F-T3) were measured in 2013 from frozen samples. The 21-item Beck Depression Inventory (BDI-21) was applied to assess depressive symptoms (score ≥10 points). The prevalence of depressive symptoms was 17.5% in women and 12.5% in men. In women, the mean levels of TSH, F-T4, and F-T3 without depressive symptoms vs. with the presence of depressive symptoms were 1.92/1.97 mU/L, 13.1/13.1 pmol/L, and 3.91/3.87 pmol/L (NS), respectively. In men, the levels were 1.87/1.94 mU/L, 13.5/13.7 pmol/L, and 4.18/4.12 pmol/L (NS), respectively. In multiple regression analysis, TSH had no relationship to BDI-21 total score. We found no association between depressive symptoms and thyroid values.

Association of serum 25-hydroxyvitamin D with lifestyle factors and metabolic and cardiovascular disease markers: population-based cross-sectional study (FIN-D2D).

OBJECTIVES: Low serum 25-hydroxyvitamin D (25OHD) level has been associated with an increased risk of several chronic diseases. Our aim was to determine lifestyle and clinical factors that are associated with 25OHD level and to investigate connection of 25OHD level with metabolic and cardiovascular disease markers. DESIGN: In total, 2868 Finnish men and women aged 45-74 years participated in FIN-D2D population-based health survey in 2007. Participants that had a serum sample available (98.4%; n = 2822) were included in this study. 25OHD was measured with chemiluminescent microparticle immunoassay method. RESULTS: The mean 25OHD level was 58.2 nmol/l in men (n = 1348) and 57.1 nmol/l in women (n = 1474). Mean 25OHD level was lower in the younger age groups than in the older ones (p<0.0001 both in men and women). This study confirmed that low physical activity (p<0.0001 both in men and women), smoking (p = 0.0002 in men and p = 0.03 in women) and high BMI (p<0.0001 in women) are factors that independently associate with low 25OHD level. Of the metabolic and cardiovascular disease markers high triglyceride concentration (p = 0.02 in men and p = 0.001 in women) and high apolipoprotein B/apolipoprotein A1 ratio (p = 0.04 in men and p = 0.03 in women) were independently associated with low 25OHD level. CONCLUSIONS: Higher age did not predict lower 25OHD level in this study population of aged 45-74 years which may derive from a healthy life-style of "active pensioners". Low physical activity and smoking came up as independent lifestyle factors associated with low 25OHD level. Defining the molecular mechanisms behind the associations of 25OHD with low physical activity and smoking are important objective in future studies. The association of 25OHD with BMI, high triglyceride concentration and apolipoprotein B/apolipoprotein A1 ratio may be related to the role of vitamin D in inflammation, but more detailed studies are needed.

CDC73 intragenic deletion in familial primary hyperparathyroidism associated with parathyroid carcinoma.

CONTEXT: CDC73 mutations frequently underlie the hyperparathyroidism-jaw tumor syndrome, familial isolated hyperparathyroidism (FIHP), and parathyroid carcinoma. It has also been suggested that CDC73 deletion analysis should be performed in those patients without CDC73 mutations. OBJECTIVE: To investigate for CDC73 deletion in a family with FIHP previously reported not to have CDC73 mutations. PATIENTS AND METHODS: Eleven members (six affected with primary hyperparathyroidism and five unaffected) were ascertained from the family, and multiplex ligation-dependent probe amplification was performed to detect CDC73 deletion using leukocyte DNA. RESULTS: A previously unreported deletion of CDC73 involving exons 1-10 was detected in five affected members and two unaffected members who were 26 and 39 years of age. Two affected members had parathyroid carcinomas at the ages of 18 and 32 years, and they had Ki-67 proliferation indices of 5 and 14.5% and did not express parafibromin, encoded by CDC73. Primary hyperparathyroidism in the other affected members was due to adenomas and atypical adenomas, and none had jaw tumors. Two affected members had thoracic aortic aneurysms, which in one member occurred with parathyroid carcinoma and renal cysts. CONCLUSION: A previously unreported intragenic deletion of exons 1 to 10 of CDC73 was detected in a three-generation family with FIHP, due to adenomas, atypical adenomas, and parathyroid carcinomas. In addition, two affected males had thoracic aortic aneurysms, which may represent another associated clinical feature of this disorder.

Lifestyle intervention in prevention of type 2 diabetes in women with a history of gestational diabetes mellitus: one-year results of the FIN-D2D project.

BACKGROUND: Lifestyle interventions are effective in preventing type 2 diabetes (T2D). Women with history of gestational diabetes mellitus (GDM) may have barriers to lifestyle changes, and the previous results of lifestyle interventions are contradictory reporting either favorable outcomes or no significant beneficial effects. Our aim was to compare cardio-metabolic risk profile and responses to a 1-year lifestyle intervention program in women with and without history of GDM. METHODS: The Implementation Project of the Program for Prevention of Type 2 Diabetes (FIN-D2D) was conducted in Finland in five hospital districts. Altogether 1,661 women aged ≤45 years participated in the program. One-year follow-up was available for 393 women who did not have screen-detected T2D at baseline, and 265 of them had at least one intervention visit [115 (43.4%) women with history of GDM and 150 (56.6%) without history of GDM]. RESULTS: At baseline, women with GDM had similar baseline glucose tolerance but better anthropometric characteristics, blood pressure, and lipid profile than women without GDM after adjustment for age. Beneficial changes in cardiovascular risk profile existed among women with and without GDM during follow-up and the effect of lifestyle intervention was similar between the groups, except that low-density lipoprotein cholesterol improved only in women with GDM. Altogether, 4.0% of those with GDM and 5.0% of those without GDM developed T2D (p=0.959 adjustment for age). CONCLUSIONS: The effect of a 1-year lifestyle intervention in primary healthcare setting was similar regardless of history of GDM, both women with and without GDM benefitted from participation in the lifestyle intervention.

Do depressive symptoms have an impact on the effectiveness of lifestyle counseling in prevention of type 2 diabetes? One-year follow-up of FIN-D2D.

AIM: To examine whether depressive symptoms are associated with the effectiveness of lifestyle counseling on cardio-metabolic risk profile and glucose homeostasis during one-year follow-up in individuals at high risk for type 2 diabetes (T2D). METHODS: A total of 10,149 individuals took part in the implementation project of the national diabetes prevention program (FIN-D2D) conducted in primary health care setting in Finland. At baseline, altogether 2798 non-diabetic individuals participated in the one-year follow-up, and 2275 of them had at least one group or individual counseling visit. RESULTS: 4.0% of the individuals (n=78) had depressive symptoms, while 96.0% (n=1889) were free of depressive symptoms at baseline. Individuals who had depressive symptoms had higher body mass index and waist circumference at baseline than individuals without depressive symptoms. In terms of changes in cardio-metabolic risk profile and glucose homeostasis the effectiveness of lifestyle counseling was parallel between individuals with and without depressive symptoms during the one-year follow-up. CONCLUSIONS: Effectiveness of lifestyle counseling did not differ between individuals with and without depressive symptoms. Individuals with depressive symptoms should not be excluded from lifestyle intervention programs.

Perceived sufficiency of physical activity levels among adults at high risk of type 2 diabetes: the FIN-D2D study.

BACKGROUND: Any increase from a low level of physical activity reduces the risk of type 2 diabetes. However, lack of awareness of one's physical activity level insufficiency may act as an obstacle to increased physical activity. PURPOSE: This study assessed the determinants of perceived physical activity levels (PALs) among adults at high risk of diabetes and the associations with self-reported physical activity. METHODS: In total, 10,149 adults participated in the FIN-D2D lifestyle intervention at baseline. Opportunistic screening was used in identifying high-risk individuals. Physical activity and perceived PAL sufficiency were assessed and compared. Key risk factors for diabetes and psychosocial and demographic characteristics were analyzed as determinants using logistic regression. RESULTS: PAL sufficiency was rated realistically by 73 % of men and 75 % of women. Perception of sufficient PAL was more likely among individuals with a smaller waist circumference, a higher level of perceived fitness, and no exercise intention. In men, a higher age, and in women, a lower education, and a lower occupational status, also increased the likelihood of perceiving PAL as sufficient. Out of all the participants, 65 % of men and 66 % of women were inactive. Among the inactive participants, 20 (men) and 16 % (women) overestimated their PAL sufficiency. In both genders, such overestimation was predicted by dyslipidemia, a lower waist circumference, a higher level of perceived fitness, and no exercise intention; also (among men) by a higher age and a family history of diabetes, and (among women) by a lower occupational status, and a lower BMI. CONCLUSIONS: In diabetes prevention, it is important to recognize the groups that perceive their PAL as sufficient since they may not see increased PAL as a tool for decreasing their risk of diabetes.

A population-based study on the prevalence of NASH using scores validated against liver histology.

BACKGROUND & AIMS: Non-alcoholic steatohepatitis (NASH) is a leading cause of chronic liver disease in Western countries. Diagnosis of NASH requires a liver biopsy. We estimated the prevalence of NASH non-invasively in a population-based study using scores validated against liver histology. METHODS: Clinical characteristics, PNPLA3 genotype at rs738409, and serum cytokeratin 18 fragments were measured in 296 consecutive bariatric surgery patients who underwent a liver biopsy to discover and validate a NASH score ('NASH score'). We also defined the cut-off for NASH for a previously validated NAFLD liver fat score to diagnose NASH in the same cohort ('NASH liver fat score'). Both scores were validated in an Italian cohort comprising of 380, mainly non-bariatric surgery patients, who had undergone a liver biopsy for NASH. The cut-offs were utilized in the Finnish population-based D2D-study involving 2849 subjects (age 45-74 years) to estimate the population prevalence of NASH. RESULTS: The final 'NASH Score' model included PNPLA3 genotype, AST and fasting insulin. It predicted NASH with an AUROC 0.774 (0.709, 0.839) in Finns and 0.759 (0.711, 0.807) in Italians (NS). The AUROCs for 'NASH liver fat score' were 0.734 (0.664, 0.805) and 0.737 (0.687, 0.787), respectively. Using 'NASH liver fat score' and 'NASH Score', the prevalences of NASH in the D2D study were 4.2% (95% CI: 3.4, 5.0) and 6.0% (5.0, 6.9%). Sensitivity analysis was performed by taking into account stochastic false-positivity and false-negativity rates in a Bayesian model. This analysis yielded population prevalences of NASH of 3.1% (95% stimulation limits 0.2-6.8%) using 'NASH liver fat score' and 3.6% (0.2-7.7%) using 'NASH Score'. CONCLUSIONS: The population prevalence of NASH in 45-74 year old Finnish subjects is ∼ 5%.

Predictors of success of a lifestyle intervention in relation to weight loss and improvement in glucose tolerance among individuals at high risk for type 2 diabetes: the FIN-D2D project.

AIM: The authors assessed the predictors of success of a lifestyle intervention (weight loss ≥ 5% and improved glucose tolerance) in individuals at high risk for type 2 diabetes in a 1-year follow-up in a primary health care setting. METHODS: High-risk individuals for type 2 diabetes were identified by opportunistic screening in the implementation of the Finnish National Diabetes Prevention Program (FIN-D2D). All together, 3880 individuals participated in the 1-year follow-up. Sociodemographic characteristics, health status and behavior, family history of diabetes, clinical factors, and health care provider were considered possible predictors of lifestyle intervention success. RESULTS: In sum, 19.3% of individuals lost at least 5% of weight, and 32.6% with abnormal glucose tolerance at baseline showed improvement in glucose tolerance. Abnormal glucose tolerance was the strongest predictor of weight loss and improvement in glucose tolerance. High attendance at lifestyle intervention visits, being outside of labor force, and high body mass index at baseline were also related to weight loss, and high education was related to improvement in glucose tolerance. CONCLUSIONS: In "real-life settings," glucose tolerance status, number of intervention visits, employment status, education, and body mass index explained the success of lifestyle intervention. These factors may help in targeting interventions, although they may not be generalized to other cultural settings.

The effectiveness of teriparatide in the clinical practice--attenuation of the bone mineral density outcome by increasing age and bisphosphonate pretreatment.

BACKGROUND: Teriparatide is a potent anabolic agent for severe osteoporosis. OBJECTIVES: A primary objective of this retrospective study was to define the efficacy of teriparatide in terms of bone mineral density (BMD) changes and relief of back pain in clinical practice. METHODS: The patient population comprises 119 osteoporotic patients treated with teriparatide for median 539 (range 179-926) days. RESULTS: The mean BMD gain was 0.9% in the total hip (P = 0.0075), 2.1% in the femoral neck (P = 0.0006), and 8.5% in the lumbar spine (P = 0.0085). In the whole patient population age associated inversely with BMD changes in the total hip (P = 0.019) and in the femoral neck (P = 0.0036). A history of significant bisphosphonate pretreatment (n = 90) reduced BMD response in the total hip (P = 0.039). The total exposure of any prior bisphosphonate was negatively correlated with BMD response in the total hip (P = 0.0421). Half of the patients reported relief of back pain during the treatment. Leg pain, nausea, and dizziness were most frequent adverse concerns. CONCLUSIONS: Teriparatide works in clinical practice as well as in clinical trials. Younger subjects benefited more than older patients from teriparatide in the total hip and in the femoral neck. Bisphosphonate pretreatment attenuated teriparatide-induced BMD gain.

Participation, socioeconomic status and group or individual counselling intervention in individuals at high risk for type 2 diabetes: one-year follow-up study of the FIN-D2D-project.

AIMS: To describe socioeconomic characteristics of participants and their effect on uptake and completion of the implementation project (FIN-D2D) for the National Type 2 Diabetes Prevention Programme. Furthermore, to assess the effectiveness of individual vs. group intervention during one-year follow-up. METHODS: At baseline, 2820 men and 5764 women aged <65 years participated in the non-randomized implementation project in primary health care setting; one-year follow-up was available for 1067 men and 2122 women. Socioeconomic status included education and occupation. Interventions were individual and/or group-based. The changes in cardiovascular risk factors and glucose tolerance were used as measures of the effectiveness of intervention. RESULTS: 68.4% of the men and 69.8% of the women participated in some of the intervention modalities offered. Low education and not working were related to active participation in the intervention in men. 88.2% of men and 76.1% of women selected the individual instead of group intervention. The effectiveness of individual vs. group interventions did not differ, except for minor changes in systolic blood pressure in women and glucose tolerance in men. CONCLUSIONS: Socioeconomic status modulated participation in interventions. Both types of intervention worked equally well, but participation in group intervention was low.

Effect of intensive counselling on physical activity in pregnant women at high risk for gestational diabetes mellitus. A clinical study in primary care.

OBJECTIVE: The level of physical activity (PA) of pregnant women in Finland is unknown. Even more limited is our knowledge of PA of women at high risk for gestational diabetes mellitus (GDM). METHODS: The women (n=54) were randomly assigned to a lifestyle intervention group (n=27) including exercise advice by a physiotherapist six times during pregnancy or to a control group (n=27) without additional exercise advice. Outcomes of the present study were required sample size, timing of counselling and change of PA. PA was retrospectively reported during 12 months before pregnancy and recorded one week monthly during pregnancy. RESULTS: Individualized counselling by a physiotherapist resulted in small changes of recreational PA (2.7 MET hours/week, p=0.056) up to gestational week 25 compared with the similar decreasing tendency of PA in the control group. The women decreased recreational PA after week 30. Sample size of 550 women at high risk for GDM per group would be needed for a PA study. CONCLUSIONS: The optimal time window for increasing PA must be earlier than in the last trimester of pregnancy. Sample size for a study to increase PA by 2.7 MET hours/week on pregnant women at high risk of GDM should be about 550 per group.

Perceived need to increase physical activity levels among adults at high risk of type 2 diabetes: a cross-sectional analysis within a community-based diabetes prevention project FIN-D2D.

BACKGROUND: Increased physical activity is a cornerstone of type 2 diabetes prevention. The perception of a need to change is considered essential in behaviour change processes. However, the existing literature on individuals' perceived need to change health behaviour is limited. In order to improve understanding of diabetes prevention through increased physical activity levels (PAL), we assessed factors associated with perceiving a need to increase PAL among adults at high risk of diabetes. METHODS: Opportunistic screening was used within a primary-care based lifestyle intervention covering 10 149 men and women at high risk of type 2 diabetes. Data were obtained at baseline visits. The explored determinants were demographic, anthropometric/clinical, behavioural and psychosocial characteristics, along with four categories of PAL awareness. Logistic regression was used in the analysis. RESULTS: 74% of men (n = 2 577) and 76% of women (n = 4 551) perceived a need to increase their PAL. The participants most likely to perceive this need were inactive, had a larger waist circumference, rated their PAL as insufficient, and were at the contemplation stage of change. Smoking, elevated blood pressure, dyslipidaemia, and a family history of diabetes were not associated with this perception. The likelihood was also greater among women with less perceived fitness and less education. Demographic factors other than education did not determine participants' perceived need to increase PAL. PAL overestimators were less likely to perceive the need to increase their PAL than realistic inactive participants. CONCLUSIONS: Subjective rather than objective health factors appear to determine the perception of a need to increase PAL among adults at high risk of diabetes. Client perceptions need to be evaluated in health counselling in order to facilitate a change in PAL. Practical descriptions of the associations between metabolic risk factors, PAL, and diabetes are needed in order to make the risk factors concrete for at-risk individuals.

How can we increase postpartum glucose screening in women at high risk for gestational diabetes mellitus?

Women with a history of gestational diabetes mellitus (GDM) are at increased risk for diabetes mellitus but postpartum followup is problematic for frequent nonattendance. Our aim was to increase coverage of postpartum oral glucose tolerance tests (ppOGTTs) and examine associated factors. This was a prospective observational study of altogether 266 high-risk women for GDM from 2005 to 2008 in four Finnish municipalities. The groups were as follows: women (n = 54) who had previously participated in early pregnancy lifestyle intervention study and high-risk women (n = 102) from the same municipalities studied within one-year after delivery. Furthermore, in two neighboring municipalities nurses were reminded to perform a ppOGTT on high-risk women (n = 110). The primary outcome was the prevalence of ppOGTT performed and associated factors. Overall the ppOGTT was performed in 35.7% of women. Only 14.7% of women returned for testing to health care centers, 30.9% after a reminder in municipalities, and 82.5% to the central hospital, respectively. The most important explaining factor was a special call or reminder from the central hospital (OR 13.4 (4.6-38.1), P < 0.001). Thus, additional reminders improved communication between primary care and secondary care and more attention to postpartum oral glucose testing in primary care are of great importance.

The reporting of previous lifestyle counseling by persons at high risk of Type 2 diabetes.

OBJECTIVE: To assess (i) whether the reporting of counseling previously received is associated with high-risk individuals' agreement to participate in lifestyle intervention, (ii) whether the reporting of previous counseling differed within such a high-risk group, and (iii) the associations between lifestyles and previous lifestyle counseling. METHODS: Cross-sectional data were drawn from 10149 adults at high risk of Type 2 diabetes, who were participating in a Finnish national diabetes prevention project (FIN-D2D). Bivariate analysis and multivariate logistic regression were used. RESULTS: In relation to the reporting of previous counseling, no difference was found between persons who had agreed and persons who had not agreed to participate in the lifestyle intervention. Persons who were more educated or who had dyslipidemia or diabetes were more likely than the others to report previous counseling. A generally healthy lifestyle, or certain health behaviors (being a non-smoker or eating large amounts of fruit and vegetables) may make the reporting of previous counseling more likely. CONCLUSION: The results raise questions about the amount and quality of the previously received lifestyle counseling. PRACTICE IMPLICATIONS: There is a need for sustainable lifestyle counseling structures, within vigorously implemented diabetes prevention projects, if long-lasting lifestyle changes are to be achieved.

Effect of intensive counselling on the quality of dietary fats in pregnant women at high risk of gestational diabetes mellitus.

As part of a feasibility study to prevent gestational diabetes mellitus (GDM), we evaluated the effect of an intensive dietary therapy on quality of diet, weight gain and birth weight in women at high risk of GDM. Women with risk factors for GDM (n 54) were randomly assigned from April 2005 to May 2006 to a lifestyle intervention group (n 27) including dietary advice six times during pregnancy or to a close follow-up group (n 27) in a community-based setting in Finland. Dietary intake was recorded three times during pregnancy using 4 d food records. The main outcome was the incidence of GDM. The secondary outcomes were the changes in nutrient intake, weight gain and birth weight. Overall, seventeen (65 %) women in the intervention group and eighteen (69 %) women in the close follow-up group returned all three food records. PUFA intake increased (P = 0·008) during pregnancy in the intervention as compared to the close follow-up group. There were no clear differences in the changes of saturated fat or fibre intake between the groups. Intensive dietary education resulted in a somewhat lower weight gain during pregnancy (P = 0·062) and higher birth weights of the infants (P = 0·047) without an effect on macrosomia as compared to the close follow-up group. Individualised counselling by a clinical nutritionist as part of a lifestyle intervention improved the quality of dietary fat intake in pregnant women at high risk of GDM.

Perceiving need for lifestyle counseling: findings from Finnish individuals at high risk of type 2 diabetes.

OBJECTIVE: To investigate the proportion of individuals at high risk of type 2 diabetes who perceive the need for lifestyle counseling, factors associated with this perception, and whether the perceived need is associated with subsequent attendance in lifestyle intervention. RESEARCH DESIGN AND METHODS: Baseline and intervention data were obtained from 10,149 participants in a Finnish National Diabetes Prevention Project. RESULTS: In total, 36% of men and 52% of women perceived the need for counseling. Most of the risk factors did not increase the perceived need for counseling. Those agreeing to attend supervised lifestyle intervention were more likely to report a perceived need than those who agreed on a self-initiated lifestyle change or those who refused to attend lifestyle intervention. The perceived need was associated with actual attendance in the lifestyle intervention only among women. CONCLUSIONS: It will be vital to find additional means to support lifestyle change.

Increase in physical activity and cardiometabolic risk profile change during lifestyle intervention in primary healthcare: 1-year follow-up study among individuals at high risk for type 2 diabetes.

Objectives To investigate the association between increase in physical activity and changes in cardiometabolic risk factors during a lifestyle intervention programme in routine clinical settings. Design Prospective follow-up. Setting 400 primary healthcare centres and occupational healthcare outpatient clinics in Finland. Participants Individuals at high risk for type 2 diabetes identified in the implementation project of the national diabetes prevention programme (FIN-D2D) and participating in baseline and 1-year follow-up visits. Final study group comprised the 1871 non-diabetic participants who responded at follow-up visit to a question on stability versus increase of physical activity. Interventions Lifestyle intervention. Primary outcome measures Cardiometabolic risk factors (body composition, blood pressure and those measured from fasting venous blood samples) measured at baseline and follow-up visits. Results Of the participants, 310 (16.6% of all responders) reported at follow-up having clearly increased their physical activity during the past year, while 1380 (73.8%) had been unable to increase their physical activity. Those who increased their activity decreased their weight by 3.6 kg (95% CI 2.9 to 4.3, age and sex adjusted, p<0.001) and waist circumference by 3.6 cm (95% CI 2.9 to 4.3, p<0.001) more than those who did not increase their activity. Similarly, those who increased their physical activity had greater reductions in total cholesterol (group difference in reduction 0.17 mmol/l, 95% CI 0.06 to 0.28, p=0.002), low-density lipoprotein cholesterol (0.16 mmol/l, 95% CI 0.06 to 0.26, p=0.001), low-density lipoprotein/high-density lipoprotein ratio (0.17, 95% CI 0.08 to 0.25, p<0.001) as well as fasting glucose (0.09 mmol/l, 95% CI 0.03 to 0.15, p=0.004) and 2 h glucose levels (0.36 mmol/l, 95% CI 0.17 to 0.55, p=0.023) than those who did not increase their physical activity. Conclusion Increasing physical activity seems to be an important feature of cardiometabolic risk reduction among individuals at high risk for type 2 diabetes participating in preventive interventions in routine clinical settings.

Metabolically healthy and unhealthy obesity phenotypes in the general population: the FIN-D2D Survey.

BACKGROUND: The aim of this work was to examine the prevalence of different metabolical phenotypes of obesity, and to analyze, by using different risk scores, how the metabolic syndrome (MetS) definition discriminates between unhealthy and healthy metabolic phenotypes in different obesity classes. METHODS: The Finnish type 2 diabetes (FIN-D2D) survey, a part of the larger implementation study, was carried out in 2007. The present cross-sectional analysis comprises 2,849 individuals aged 45-74 years. The MetS was defined with the new Harmonization definition. Cardiovascular risk was estimated with the Framingham and SCORE risk scores. Diabetes risk was assessed with the FINDRISK score. Non-alcoholic fatty liver disease (NAFLD) was estimated with the NAFLD score. Participants with and without MetS were classified in different weight categories and analysis of regression models were used to test the linear trend between body mass index (BMI) and various characteristics in individuals with and without MetS; and interaction between BMI and MetS. RESULTS: A metabolically healthy but obese phenotype was observed in 9.2% of obese men and in 16.4% of obese women. The MetS-BMI interaction was significant for fasting glucose, 2-hour plasma glucose, fasting plasma insulin and insulin resistance (HOMA-IR)(p < 0.001 for all). The prevalence of total diabetes (detected prior to or during survey) was 37.0% in obese individuals with MetS and 4.3% in obese individuals without MetS (p < 0.001). MetS-BMI interaction was significant (p < 0.001) also for the Framingham 10 year CVD risk score, NAFLD score and estimated liver fat %, indicating greater effect of increasing BMI in participants with MetS compared to participants without MetS. The metabolically healthy but obese individuals had lower 2-hour postload glucose levels (p = 0.0030), lower NAFLD scores (p < 0.001) and lower CVD risk scores (Framingham, p < 0.001; SCORE, p = 0.002) than normal weight individuals with MetS. CONCLUSIONS: Undetected Type 2 diabetes was more prevalent among those with MetS irrespective of the BMI class and increasing BMI had a significantly greater effect on estimates of liver fat and future CVD risk among those with MetS compared with participants without MetS. A healthy obese phenotype was associated with a better metabolic profile than observed in normal weight individuals with MetS.

Serum calcium level is associated with metabolic syndrome in the general population: FIN-D2D study.

BACKGROUND: The aim of this cross-sectional study was to examine the association between serum calcium and the components of metabolic syndrome (MetS). METHODS: As a part of the national prevention program of diabetes in Finland (FIN-D2D), a randomly selected study population of 4500 middle-aged men and women were recruited from three central hospital district areas. Anthropometric measurements were performed by a trained nurse. An oral glucose tolerance test was performed and serum calcium and lipids were measured. We assessed current medications, physical activity, smoking, alcohol consumption, calcium intake, and vitamin D intake. The MetS was defined according to the criteria of the updated National Education Program. The study population consisted of 2896 individuals: 1396 men (62% of invited individuals) and 1500 women (66.7% of invited individuals). RESULTS: The mean age was 60.3±8.3 years in men and 59.8±8.5 years in women. The prevalence of MetS was 50.7% in women and 55.8% in men. The prevalence of MetS and its components, except high-density lipoprotein (HDL)-cholesterol, increased linearly with increasing serum calcium (P<0.001), even after adjustment for age, physical activity, alcohol, vitamin D intake, calcium intake, and smoking. The threshold value for serum calcium for MetS was 2.50 mmol/l in this population. The association of MetS with total serum calcium was similar even after exclusion of patients treated with hypertensive drugs. The drug treatments for hypertension, dyslipidemia, and diabetes increased in a similar pattern. CONCLUSIONS: Serum calcium level is associated with MetS and its components, except HDL-cholesterol.

The use of fasting vs. non-fasting triglyceride concentration for estimating the prevalence of high LDL-cholesterol and metabolic syndrome in population surveys.

BACKGROUND: For practical reasons it is not easy to obtain fasting samples in large population health surveys. Non-fasting triglyceride (Tg) values are difficult to interpret. The authors compared the accuracy of statistically corrected non-fasting Tg values with true fasting values and estimated the misclassification of subjects with high low-density lipoprotein cholesterol (LDL-C) and the metabolic syndrome. METHODS: Non-fasting blood was obtained from a population-based sample of 4282 individuals aged 24-75 years in the National FINRISK 2007 Study. Fasting blood samples were drawn from the same persons 3 months later. Non-fasting serum Tg values were converted into fasting values using previously published formula. LDL-C was calculated and classification of the metabolic syndrome was carried out according to three different latest guidelines. RESULTS: The median (25th, 75th percentile) non-fasting serum Tg concentration was 1.18 (0.87, 1.72) mmol/L and after postprandial correction 1.06 (0.78, 1.52) mmol/L. The true-fasting serum Tg concentration was 1.00 (0.75, 1.38) mmol/L (P < 0.001) vs. non-fasting and corrected value. Bias of the corrected value was +5.9% compared with the true-fasting Tg. Of the true fasting subjects, 56.4% had LDL-C ≥ 3.00 mmol/L. When calculated using non-fasting serum Tg, the prevalence of high LDL-C was 51.3% and using statistically corrected Tg it was 54.8%. The prevalence of metabolic syndrome was 35.5% among fully fasted persons and among non-fasting subjects 39.7%, which after statistical correction of Tg decreased to 37.6% (P < 0.001 for all comparisons). CONCLUSIONS: Correction of non-fasting serum Tg to fasting values plays a minor role in population studies but nevertheless reduces misclassification of calculated high LDL-C from 5.1 to 1.6% and the metabolic syndrome from 4.2 to 2.1%.