scholarly journals Metabolite Signature of Physical Activity and the Risk of Type 2 Diabetes in 7271 Men

Metabolites ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 69
Author(s):  
Susanna Maria Kemppainen ◽  
Lilian Fernandes Silva ◽  
Maria Anneli Lankinen ◽  
Ursula Schwab ◽  
Markku Laakso

Large population-based studies investigating the association of physical activity (PA) with the metabolite signature contribute significantly to the understanding of the effects of PA on metabolic pathways associated with the risk of type 2 diabetes. Our study included 8749 Finnish men without diabetes at baseline recruited from the Metabolic Syndrome in Men (METSIM) cohort. We used a questionnaire to measure leisure-time PA. Metabolites were measured in 7271 men as a part of Metabolon’s untargeted Discovery HD4 platform using ultrahigh-performance liquid chromatography–tandem mass spectrometry. We found 198 metabolites significantly associated with PA. Several of these metabolites were novel including especially steroids, amino acids, imidazoles, carboxylic acids, and hydroxy acids. Increased PA was significantly associated with high levels of choline plasmalogens, lysophosphatidylcholines, polyunsaturated fatty acids, carotenoids, long chain acylcarnitines, imidazoles, bilirubins, aryl sulfates, hydroxy acids, indolepropionate, and indolelactate. Several of these metabolites have been previously associated with a decreased risk of type 2 diabetes and with a healthy diet. Our population-based study shows that the metabolite signature of increased PA includes multiple metabolic pathways and is associated with better adherence to a healthy lifestyle.

Background. Nowadays the importance of lifestyles in the prevention of type 2 diabetes and the metabolic syndrome has been largely accertained. Objective. The purpose of our work is to implement programs that promote a nutritional culture in adolescents and young adults of the La Sabana University. Methods. The methodology entailed, after the corresponding informed consent, taking measures of the triceps and supraescapular skinfolds, waist circumference, body mass index (BMI), lean mass, and fat mass. Fasting blood samples were also taken to quantify cholesterol, triglycerides, high density lipoprotein (HDL) and low density lipoprotein (LDL). Results. The results obtained show that of the 165 students, 10.3% were underweight, 13.93% were overweight and 0.6% were obese. With regards to gender, 4.8% of the men and 9% of the women were overweight, 3% of the men and 7.2% of the women were underweight, and 0.6% of the women were obese. The blood chemistry showed that 30% had hypercholesterolemia, 18% hypertriglyceridemia, 17% reported low HDL levels and 67% reported high LDL levels. Of all the cases studied, 40% are at risk of a metabolic syndrome. 60% claimed not to practice any physical activity - especially women who reported 44.70%. Conclusions. These findings have allowed us at the institution to implement a culture of healthy habits. The have also allowed us to identify students with risk factors for type 2 diabetes and metabolic syndrome. This is why the cardiometabolic monitoring and control based on healthy eating and physical activity are important.


2011 ◽  
Vol 2011 ◽  
pp. 1-5 ◽  
Author(s):  
Ronald C. Plotnikoff ◽  
Steven T. Johnson ◽  
Constantinos A. Loucaides ◽  
Adrian E. Bauman ◽  
Nandini D. Karunamuni ◽  
...  

At a population level, the method used to determine those meeting physical activity guidelines has important implications, as estimating “sufficient” physical activity might be confounded by weight status. The objective of this study was to test the difference between three methods in estimating the prevalence of “sufficient activity” among Canadian adults with type 2 diabetes in a large population sample (N=1614) while considering the role of weight status as a potential confounder. Our results revealed that estimates of physical activity levels vary by BMI categories, depending on the methods examined. Although physical activity levels were lower in the obese, their energy expenditure estimates were not different from those who were overweight or of a healthy weight. The implications of these findings are that biased estimates of physical activity at a population level may result in inappropriate classification of adults with type 2 diabetes as “sufficiently active” and that the inclusion of body weight in estimating physical activity prevalence should be approached with caution.


Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Charlotte A Larsson ◽  
Bledar Daka ◽  
Margareta I Hellgren ◽  
Maria C Eriksson ◽  
Lennart Råstam ◽  
...  

Introduction: Clusters of metabolic variables and their effects on incidence of type 2 diabetes have been studied previously; however, little is known about the effects on diabetes from risk factor clusters including lifestyle and self-rated health. Hypothesis: We assessed the hypothesis that clusters of common cardiovascular risk factors, including lifestyle and self-rated health, can predict development of type 2 diabetes in men and women, respectively. Methods: In 2002-2005, 2816 men and women, 30-74 years, were randomly selected from two municipalities in southwestern Sweden and assessed with regard to cardiovascular/metabolic risk factors within the Skaraborg Project (76% participation). Participants performed an OGTT, had blood samples drawn, had anthropometric measurements and blood pressure taken, and answered validated questionnaires about e.g. leisure-time physical activity (with four answer alternatives from intensive to sedentary) and self-rated health (with five alternatives from excellent to very poor). Using the same protocol, 1332 participants from the baseline survey where re-examined in 2011-2014. After excluding those with diabetes at baseline, 1268 participants were included in this prospective population-based study. Results: Factor analysis (using varimax rotation) identified significant loadings (≥0.40) on the following three identical factors in men and women: the metabolic factor , comprising HOMA-ir, WHR, systolic blood pressure, and apolipoprotein B-to-A1 ratio; the vitality factor , comprising physical activity and self-rated health; and the addiction factor , comprising smoking and alcohol consumption. After a mean follow-up of 9.7±1.4 years, 76 cases of diabetes were identified; 46 in men and 30 in women. In a logistic regression analysis adjusted for all principal components, age, and educational level, the metabolic factor significantly predicted type 2 diabetes in both men (OR: 3.3, CI: 2.3-5.0) and women (OR: 3.5, CI: 2.2-5.6). Furthermore, a predictive effect of the vitality factor was also seen in women (OR: 1.8, CI: 1.2-2.9), but not in men (OR: 1.1, CI: 0.8-1.6), whereas the addiction factor had no effect in either men or women. Conclusions: This is to our knowledge the first time principle components of cardiovascular risk factors, including both metabolic and lifestyle variables, have been used to predict incidence of type 2 diabetes. The gender difference observed with regard to the combined impact of self-rated health and physical activity are novel and indicates a mechanism beside the metabolic syndrome that warrants further gender-specific exploration in future studies.


2018 ◽  
Vol 54 ◽  
pp. 104-111 ◽  
Author(s):  
Roy G.P.J. de Jong ◽  
Paul J.H.L. Peeters ◽  
Andrea M. Burden ◽  
Marie L. de Bruin ◽  
Harm R. Haak ◽  
...  

Diabetes Care ◽  
2020 ◽  
Vol 43 (4) ◽  
pp. 885-893
Author(s):  
Hiroyuki Miidera ◽  
Minori Enomoto ◽  
Shingo Kitamura ◽  
Hisateru Tachimori ◽  
Kazuo Mishima

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Pascal M. Mutie ◽  
Isabel Drake ◽  
Ulrika Ericson ◽  
Stanley Teleka ◽  
Christina-Alexandra Schulz ◽  
...  

Abstract Background While a dose-response relationship between physical activity and risk of diabetes has been demonstrated, few studies have assessed the relative importance of different measures of physical activity on diabetes risk. The aim was to examine the association between different self-reported measures of physical activity and risk of type 2 diabetes in a prospective cohort study. Methods Out of 26,615 adults (45–74 years, 60% women) in the population-based Swedish Malmö Diet and Cancer Study cohort, 3791 type 2 diabetes cases were identified from registers during 17 years of follow-up. Leisure-time (17 activities), occupational and domestic physical activity were assessed through a questionnaire, and these and total physical activity were investigated in relation to type 2 diabetes risk. Results All physical activity measures showed weak to modest associations with type 2 diabetes risk. The strongest association was found in the lower end of leisure-time physical activity in dose-response analysis at levels approximately below 22 MET-hrs/week (300 min/week) representing around 40% of the population. Compared with the lowest quintile, the moderate leisure-time physical activity category had a 28% (95% CI: 0.71, 0.87) decreased risk of type 2 diabetes. Total physical activity showed a similar, but weaker, association with diabetes risk as to that of leisure-time physical activity. Domestic physical activity was positively and linearly related to diabetes risk, HR = 1.11 (95% CI: 0.99, 1.25) comparing highest to lowest quintile. There was no association between occupational physical activity and diabetes risk. Conclusion A curvilinear association was observed between leisure-time physical activity and risk of diabetes. Beyond a threshold level of approximately 22 MET-hrs/week or 300 min/week, no additional risk reduction was observed with increase in physical activity.


2016 ◽  
Vol 19 (6) ◽  
pp. 486-493
Author(s):  
Sergey N. Bogatyrev

Physical activity is one of the most important components of a healthy lifestyle. Regular physical activity helps to maintain normal blood glucose levels and reduce the risk of type 2 diabetes mellitus. This review presents population studies investigating physical activity as a factor for type 2 diabetes mellitus risk. A search using the keywords ‘physical activity’, ‘type 2 diabetes mellitus’ and ‘risk’ identified more than 40 relevant original studies and meta-analyses, which are presented in this review. Different types of physical activity have positive protective effects on type 2 diabetes mellitus risk and reduce the risk of death in patients with type 2 diabetes mellitus.


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