scholarly journals Increased leisure-time physical activity associated with lower onset of diabetes in 44 828 adults with impaired fasting glucose: a population-based prospective cohort study

2018 ◽  
Vol 53 (14) ◽  
pp. 895-900 ◽  
Author(s):  
Xiang Qian Lao ◽  
Han-Bing Deng ◽  
Xudong Liu ◽  
Ta-Chien Chan ◽  
Zilong Zhang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Prospective Cohort ◽  
Leisure Time ◽  
Fasting Glucose ◽  
Leisure Time Physical Activity ◽  
Chinese Adults ◽  
Incident Type ◽  
Incident Type 2 Diabetes

AimsTo evaluate the effects of habitual leisure-time physical activity (LTPA) on incident type 2 diabetes in a prospective cohort of Chinese adults with impaired fasting glucose (IFG).Methods44 828 Chinese adults aged 20–80 years with newly detected IFG but free from cardiovascular and cerebrovascular disease were recruited and followed up from 1996 to 2014. Incident type 2 diabetes was identified by fasting plasma glucose ≥7 mmol/L. The participants were classified into four categories based on their self-reported weekly LTPA: inactive, low, moderate, or high. Hazard ratios (HRs) and population attributable fractions (PAFs) were estimated with adjustment for established diabetic risk factor.ResultsAfter 214 148 person-years of follow-up, we observed an inverse dose–response relationship between LTPA and diabetes risk. Compared with inactive participants, diabetes risk in individuals reporting low, moderate and high volume LTPA were reduced by 12% (HR 0.88, 95% CI 0.80 to 0.99; P=0.015), 20% (HR 0.80, 95% CI 0.71 to 0.90; P<0.001), and 25% (HR 0.75, 95% CI 0.67 to 0.83; P<0.001), respectively. At least 19.2% (PAF 19.2%, 95% CI 5.9% to 30.6%) of incident diabetes cases could be avoided if the inactive participants had engaged in WHO recommendation levels of LTPA. This would correspond to a potential reduction of at least 7 million diabetic patients in the Greater China area.ConclusionsOur results show higher levels of LTPA are associated with a lower risk of diabetes in IFG subjects. These data emphasise the urgent need for promoting physical activity as a preventive strategy against diabetes to offset the impact of population ageing and the growing obesity epidemic.

Physical Activity Level and Incident Type 2 Diabetes among Chinese Adults

2015 ◽  
Vol 47 (4) ◽  
pp. 751-756 ◽  
Author(s):  
SEN FAN ◽  
JICHUN CHEN ◽  
JIANFENG HUANG ◽  
YING LI ◽  
LIANCHENG ZHAO ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Physical Activity Level ◽  
Activity Level ◽  
Chinese Adults ◽  
Incident Type ◽  
Incident Type 2 Diabetes

Leisure-time physical activity and risk of type 2 diabetes: a meta-analysis of prospective cohort studies

Endocrine ◽  
2015 ◽  
Vol 52 (2) ◽  
pp. 226-230 ◽  
Author(s):  
Pengcheng Huai ◽  
Huiju Han ◽  
Kathleen Heather Reilly ◽  
Xiaolei Guo ◽  
Jiyu Zhang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Cohort Studies ◽  
Prospective Cohort ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Meta Analysis ◽  
Prospective Cohort Studies

[beta]eta-hydroxybutyrate and risk for incident type 2 diabetes: results from the prevend prospective cohort study

2019 ◽  
Author(s):  
Jose L Flores-Guerrero ◽  
Margery A Connelly ◽  
Dion Groothof ◽  
Eke G Gruppen ◽  
Stephan JL Bakker ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Incident Type ◽  
Incident Type 2 Diabetes

scholarly journals Physical activity, sedentary time and their associations with clustered metabolic risk among people with type 2 diabetes in Jiangsu province: a cross-sectional study

BMJ Open ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. e027906
Author(s):  
Yijia Chen ◽  
Jie Yang ◽  
Jian Su ◽  
Yu Qin ◽  
Chong Shen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Systolic Blood Pressure ◽  
Leisure Time ◽  
Sedentary Time ◽  
Leisure Time Physical Activity ◽  
Jiangsu Province ◽  
Metabolic Risk

ObjectiveInvestigating the association between total physical activity, physical activity in different domains and sedentary time with clustered metabolic risk in patients with type 2 diabetes from Jiangsu province, China.DesignInterview-based cross-sectional study conducted between December 2013 and January 2014.Setting44 selected townships across two cities, Changshu and Huai’an, in Jiangsu province.Participants20 340 participants selected using stratified cluster-randomised sampling and an interviewer-managed questionnaire.MethodsWe constructed clustered metabolic risk by summing sex-specific standardised values of waist circumference, fasting triacylglycerol, fasting plasma glucose, systolic blood pressure and the inverse of blood high-density lipoprotein cholesterol (HDL-cholesterol). Self-reported total physical activity included occupation, commuting and leisure-time physical activity. The un-standardised regression coefficient [B] and its 95% CI were calculated using multivariate linear regression analyses.ResultsThis study included 17 750 type 2 diabetes patients (aged 21–94 years, 60.3% female). The total (B=−0.080; 95% CI: −0.114 to −0.046), occupational (B=−0.066; 95% CI: −0.101 to− 0.031) and leisure-time physical activity (B=−0.041; 95% CI: −0.075 to −0.007), and sedentary time (B=0.117; 95% CI: 0.083 to 0.151) were associated with clustered metabolic risk. Total physical activity, occupational physical activity and sedentary time were associated with waist circumference, triacylglycerol and HDL-cholesterol, but not with systolic blood pressure. Commuting physical activity and sedentary time were significantly associated with triacylglycerol (B=−0.012; 95% CI: −0.019 to −0.005) and fasting plasma glucose (B=0.008; 95% CI: 0.003 to 0.01), respectively. Leisure-time physical activity was only significantly associated with systolic blood pressure (B=−0.239; 95% CI: −0.542 to− 0.045).ConclusionsTotal, occupational and leisure-time physical activity were inversely associated with clustered metabolic risk, whereas sedentary time increased metabolic risk. Commuting physical activity was inversely associated with triacylglycerol. These findings suggest that increased physical activity in different domains and decreased sedentary time may have protective effects against metabolic risk in type 2 diabetes patients.

scholarly journals Serum Levels of Apolipoproteins and Incident Type 2 Diabetes: A Prospective Cohort Study

Diabetes Care ◽  
2016 ◽  
Vol 40 (3) ◽  
pp. 346-351 ◽  
Author(s):  
Adela Brahimaj ◽  
Symen Ligthart ◽  
M. Arfan Ikram ◽  
Albert Hofman ◽  
Oscar H. Franco ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Serum Levels ◽  
Incident Type ◽  
Incident Type 2 Diabetes

scholarly journals Association of Alcohol Drinking With Incident Type 2 Diabetes and Pre-diabetes: the Guangzhou Biobank Cohort Study

2021 ◽  
Author(s):  
Mei Jiao Li ◽  
Jing Ren ◽  
Wei Sen Zhang ◽  
Chao Qiang Jiang ◽  
Ya Li Jin ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Genetic Polymorphisms ◽  
Impaired Fasting Glucose ◽  
Alcohol Drinking ◽  
Fasting Glucose ◽  
Heavy Alcohol ◽  
Incident Type ◽  
Incident Type 2 Diabetes

Abstract Background To examine associations of baseline alcohol drinking with incident type 2 diabetes or impaired fasting glucose, and explore whether the associations were modified by genetic polymorphisms of aldehyde dehydrogenase-2 (ALDH2) and alcohol dehydrogenase-1B (ADH1B).Methods Information of alcohol consumption was collected at baseline from 2003 to 2008. Incident type 2 diabetes was defined as fasting glucose ≥7.0 mmol/l or post-load glucose ≥11.1 mmol/l at follow-up examination (2008-2012), self-reported type 2 diabetes and/or initiation of hypoglycemia medication or insulin during follow-up. Impaired fasting glucose was defined as fasting glucose ≥5.6 mmol/l and <7 mmol/l. Results Of 15,716 participants without diabetes and 11,232 participants without diabetes and impaired fasting glucose at baseline, 1,624 (10.33%) developed incident type 2 diabetes, and 1,004 (8.94%) developed incident impaired fasting glucose during average 4 years of follow-up. After adjusting for sex, age, education, occupation, personal annual income, smoking, physical activity, body mass index, waist/hip ratio, health status, family history of diabetes, compared with never drinking, occasional or moderate alcohol drinking was not associated with risk of incident type 2 diabetes+impaired fasting glucose (odds ratio (OR) 1.08, 95% confidence interval (CI) 0.94-1.25, and 0.89 (0.68-1.16), respectively), but heavy alcohol drinking was associated with a higher risk of incident type 2 diabetes+impaired fasting glucose (1.83, 1.25-2.69). No interactions of sex, overweight/obesity and genetic polymorphisms of ADH1B or ALDH2 genes with alcohol drinking on incident type 2 diabetes and/or impaired fasting glucose were found (p for interaction from 0.12 to 0.81). Conclusions Our results support a detrimental effect of heavy alcohol use on impaired fasting glucose and type 2 diabetes. No protective effect was found for those carrying lower risk alleles for ADH1B and ALDH2 genes.

Abstract MP05: Leisure-Time Running and Incident Type 2 Diabetes

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Duck-chul Lee ◽  
Carl J. Lavie ◽  
Timothy S. Church ◽  
Xuemei Sui ◽  
Steven N. Blair
Keyword(s):  
Type 2 Diabetes ◽  
Lower Risk ◽  
Leisure Time ◽  
Cox Regression ◽  
Smoking Status ◽  
Physical Activities ◽  
Incident Type ◽  
Incident Type 2 Diabetes

Introduction: There is still little evidence on the dose-response relation between leisure-time running and incident type 2 diabetes (T2D). Hypothesis: We examined the hypothesis that running reduces the risk of developing T2D. Methods: Participants were 19,347 adults aged 18 to 100 years (mean age, 44) who received an extensive preventive medical examination during 1974-2006 in the Aerobics Center Longitudinal Study. Participants were free of cardiovascular disease, cancer, and T2D at baseline. Running and other physical activities were assessed on the medical history questionnaire by self-reported leisure-time activities during the past 3 months. We defined T2D as fasting glucose ≥126 mg/dl, insulin use, or physician-diagnosis during follow-up medical examinations. Cox regression was used to quantify the association between running and T2D after adjusting for baseline age, sex, examination year, body mass index, smoking status, heavy alcohol drinking, abnormal electrocardiogram, hypertension, hypercholesterolemia, and levels of other physical activities. Results: During an average follow-up of 6.5 years, 1,015 adults developed T2D. Approximately 30% of adults participated in leisure-time running. Runners had a 29% lower risk of developing T2D compared with non-runners. The hazard ratios (95% confidence intervals) of T2D were 0.97 (0.74-1.27), 0.66 (0.49-0.89), 0.62 (0.45-0.85), 0.78 (0.58-1.03), and 0.57 (0.42-0.79) across quintiles (Q) of running time (minutes/week); 0.99 (0.76-1.30), 0.60 (0.44-0.82), 0.72 (0.55-0.94), 0.65 (0.47-0.90), and 0.63 (0.47-0.86) across Q of running distance (miles/week); 1.08 (0.83-1.40), 0.67 (0.50-0.90), 0.70 (0.53-0.93), 0.61 (0.45-0.83), and 0.53 (0.36-0.76) across Q of running frequency (times/week); 0.95 (0.73-1.24), 0.70 (0.52-0.94), 0.62 (0.45-0.84), 0.73 (0.55-0.97), and 0.58 (0.42-0.80) across Q of total amount of running (MET-minutes/week); and 0.95 (0.71-1.28), 0.76 (0.59-0.99), 0.59 (0.42-0.83), 0.66 (0.51-0.85), and 0.62 (0.43-0.90) across Q of running speed (mph), respectively, compared with no running after adjusting for confounders including levels of other physical activities. Conclusions: Participating in leisure-time running is associated with markedly lower risk of developing T2D in adults. Except for those in the very lowest Q for running doses, even relatively low running doses (starting with Q 2) were associated with marked reductions in T2D risk over time, supporting the prescription of running to reduce T2D.

scholarly journals Change in Cardiovascular Health and Incident Type 2 Diabetes and Impaired Fasting Glucose: The Whitehall II Study

Diabetes Care ◽  
2019 ◽  
Vol 42 (10) ◽  
pp. 1981-1987 ◽  
Author(s):  
Rachel E. Climie ◽  
Thomas T. van Sloten ◽  
Marie-Cécile Périer ◽  
Muriel Tafflet ◽  
Aurore Fayosse ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Impaired Fasting Glucose ◽  
Cardiovascular Health ◽  
Fasting Glucose ◽  
Incident Type ◽  
Incident Type 2 Diabetes
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