scholarly journals Erratum to: Physical activity attenuates the mid-adolescent peak in insulin resistance but by late adolescence the effect is lost: a longitudinal study with annual measures from 9–16 years (EarlyBird 66)

Diabetologia ◽  
2015 ◽  
Vol 58 (12) ◽  
pp. 2900-2900 ◽  
Author(s):  
Brad S. Metcalf ◽  
Joanne Hosking ◽  
William E. Henley ◽  
Alison N. Jeffery ◽  
Mohammod Mostazir ◽  
...  
Diabetologia ◽  
2015 ◽  
Vol 58 (12) ◽  
pp. 2699-2708 ◽  
Author(s):  
Brad S. Metcalf ◽  
Joanne Hosking ◽  
William E. Henley ◽  
Alison N. Jeffery ◽  
Mohammod Mostazir ◽  
...  

PLoS ONE ◽  
2012 ◽  
Vol 7 (10) ◽  
pp. e47438 ◽  
Author(s):  
Richard D. Telford ◽  
Ross B. Cunningham ◽  
Rohan M. Telford ◽  
Jennifer Kerrigan ◽  
Peter E. Hickman ◽  
...  

2006 ◽  
Vol 18 (1) ◽  
pp. 76-88 ◽  
Author(s):  
Risto Telama ◽  
Xiaolin Yang ◽  
Mirja Hirvensalo ◽  
Olli Raitakari

The aim of this study was to investigate how participation in organized competitive youth sport predicts adult physical activity. A random sample of 2,309 boys and girls ages 9–18 years participated in the Cardiovascular Risk in Young Finns Study in 1980, and 1,606 (70%) of them again in 2001. Physical activity was measured using a short, validated questionnaire. The results showed that participation in youth sport, and persistent participation in particular, significantly predicted adult physical activity. Participation in sport competitions increased the probability of high activity in adulthood more among males than females.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Anying Bai ◽  
Liyuan Tao ◽  
Jia Huang ◽  
Jing Tao ◽  
Jue Liu

Abstract Background We aimed to examine the effect of physical activity on different cognitive domains among patients with diabetes. Methods We used two waves of data from the Chinese Health and Retirement Longitudinal Study (CHARLS, 2013–2015), a nationally representative dataset of Chinese population aged over 45. Total physical activity scores were calculated based on the International Physical Activity Questionnaire (IPAQ). Executive function and episodic memory were used as measures of cognitive function. We conducted lagged dependent variable models to explore the association between physical activity and cognitive function in full sample as well as two different age groups (45–65, ≥65). Results: 862 diabetic patients were included. We found that diabetic participants who had greater level of physical activity at baseline were associated with better episodic memory function in 2 years (p < 0.05). Moreover, physical activity was significantly associated with less decline in episodic memory in fully adjusted models, and the associations were stronger among patients aged 45–65 years (p < 0.05). No statistically significant association was found between physical activity and executive function in all age groups. Conclusions Physical activity may prevent some of the potential decline in episodic memory in diabetic patients. Clinicians and public health departments should strengthen the promotion of physical activity and develop early screening tools among diabetic participants to prevent the progression of cognitive impairment.


Author(s):  
Jonatan Fridolfsson ◽  
Christoph Buck ◽  
Monica Hunsberger ◽  
Joanna Baran ◽  
Fabio Lauria ◽  
...  

Abstract Background Physical activity (PA) during childhood is important for preventing future metabolic syndrome (MetS). To examine the relationship between PA and MetS in more detail, accurate measures of PA are needed. Previous studies have only utilized a small part of the information available from accelerometer measured PA. This study investigated the association between measured PA and MetS in children with a new method for data processing and analyses that enable more detailed interpretation of PA intensity level. Methods The association between PA pattern and risk factors related to MetS was investigated in a cross- sectional sample of children (n = 2592, mean age 10.9 years, 49.4% male) participating in the European multicenter I. Family study. The risk factors examined include body mass index, blood pressure, high-density lipoprotein cholesterol, insulin resistance and a combined risk factor score (MetS score). PA was measured by triaxial accelerometers and raw data was processed using the 10 Hz frequency extended method (FEM). The PA output was divided into an intensity spectrum and the association with MetS risk factors was analyzed by partial least squares regression. Results PA patterns differed between the European countries investigated, with Swedish children being most active and Italian children least active. Moderate intensity physical activity was associated with lower insulin resistance (R2 = 2.8%), while vigorous intensity physical activity was associated with lower body mass index (R2 = 3.6%), MetS score (R2 = 3.1%) and higher high-density lipoprotein cholesterol (R2 = 2.3%). PA of all intensities was associated with lower systolic- and diastolic blood pressure, although the associations were weaker than for the other risk factors (R2 = 1.5% and R2 = 1.4%). However, the multivariate analysis implies that the entire PA pattern must be considered. The main difference in PA was observed between normal weight and overweight children. Conclusions The present study suggests a greater importance of more PA corresponding to an intensity of at least brisk walking with inclusion of high-intense exercise, rather than a limited time spent sedentary, in the association to metabolic health in children. The methods of data processing and statistical analysis enabled accurate analysis and interpretation of the health benefits of high intensity PA that have not been shown previously.


2021 ◽  
Vol 14 ◽  
pp. 100765
Author(s):  
Syed Afroz Keramat ◽  
Khorshed Alam ◽  
Nusrat Jahan Sathi ◽  
Jeff Gow ◽  
Stuart J.H. Biddle ◽  
...  

Author(s):  
Jana Jurkovičová ◽  
Katarína Hirošová ◽  
Diana Vondrová ◽  
Martin Samohýl ◽  
Zuzana Štefániková ◽  
...  

The prevalence of cardiometabolic risk factors has increased in Slovakian adolescents as a result of serious lifestyle changes. This cross-sectional study aimed to assess the prevalence of insulin resistance (IR) and the associations with cardiometabolic and selected lifestyle risk factors in a sample of Slovak adolescents. In total, 2629 adolescents (45.8% males) aged between 14 and 18 years were examined in the study. Anthropometric parameters, blood pressure (BP), and resting heart rate were measured; fasting venous blood samples were analyzed; and homeostasis model assessment (HOMA)-insulin resistance (IR) was calculated. For statistical data processing, the methods of descriptive and analytical statistics for normal and skewed distribution of variables were used. The mean HOMA-IR was 2.45 ± 1.91, without a significant sex differences. IR (cut-off point for HOMA-IR = 3.16) was detected in 18.6% of adolescents (19.8% males, 17.6% females). IR was strongly associated with overweight/obesity (especially central) and with almost all monitored cardiometabolic factors, except for total cholesterol (TC) and systolic BP in females. The multivariate model selected variables such as low level of physical fitness, insufficient physical activity, breakfast skipping, a small number of daily meals, frequent consumption of sweetened beverages, and low educational level of fathers as significant risk factors of IR in adolescents. Recognizing the main lifestyle risk factors and early IR identification is important in terms of the performance of preventive strategies. Weight reduction, regular physical activity, and healthy eating habits can improve insulin sensitivity and decrease the incidence of metabolic syndrome, type 2 diabetes, and cardiovascular disease (CVD).


2021 ◽  
Vol 13 (5) ◽  
pp. 2439
Author(s):  
Alexis Espinoza-Salinas ◽  
Edgardo Molina-Sotomayor ◽  
Johnattan Cano-Montoya ◽  
Jose Antonio Gonzalez-Jurado

Autonomic nervous system function is an important predictor of physical fitness. The objective of this study was to find out the associations of autonomic activity parameters, lipid profile, insulin concentrations, and insulin resistance in overweight men with the level of physical activity. A descriptive and correlational study was carried out in 28 overweight men: 14 physically active (PA) and 14 physically inactive (PI). The following variables were assessed: Level of physical activity, HRV (heart rate variability), basal insulin, HOMA-IR index (Homeostasis Model Assessment Insulin-Resistance), and lipid profile. The main results show a positive correlation between the spectral parameters of the HRV and total cholesterol (r = 0.24), LDL (r = 0.59), VLDL (r = 0.86), and insulin (r = 0.88) of sedentary people, evidencing a directly proportional correlation with BMI. We conclude that weight gain and a sedentary lifestyle are associated with an increase in sympathetic discharge, which, in turn, is associated with an increase in lipid profile and insulin levels.


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