Cardiorespiratory fitness, genetic susceptibility, inflammation and risk of incident type 2 diabetes: A population-based longitudinal study

Xu, Chenjie; Hou, Yabing; Si, Keyi; Cao, Zhi

doi:10.1016/j.metabol.2022.155215

Cited by 10 publications

(6 citation statements)

References 36 publications

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“…The actual effect of exercise capacity on diabetes has not been fully explored as most previous data exemplify nations with low to intermediate disease prevalence[ 8 , 9 ]. These data reflect societies where the culture of exercise is dominant; however, in the Middle East and North Africa (MENA), a rise in prevalence is likely to occur considering low activity levels among citizens.…”

Section: Introductionmentioning

confidence: 99%

Prognostic value of exercise capacity in incident diabetes: a country with high prevalence of diabetes

et al. 2022

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Background Diabetes Mellitus (DM) is a fast-growing health problem that imposes an enormous economic burden. Several studies demonstrated the association between physical inactivity and predicting the incidence of diabetes. However, these prediction models have limited validation locally. Therefore, we aim to explore the predictive value of exercise capacity in the incidence of diabetes within a high diabetes prevalence population. Methodology A retrospective cohort study including consecutive patients free of diabetes who underwent clinically indicated treadmill stress testing. Diabetic patients at baseline or patients younger than 18 years of age were excluded. Incident diabetes was defined as an established clinical diagnosis post-exercise testing date. The predictive value of exercise capacity was examined using Harrell’s c-index, net reclassification index (NRI), and integrated discrimination index (IDI). Results A total of 8,722 participants (mean age 46 ± 12 years, 66.3% were men) were free of diabetes at baseline. Over a median follow-up period of 5.24 (2.17–8.78) years, there were 2,280 (≈ 26%) new cases of diabetes. In a multivariate model adjusted for conventional risk factors, we found a 12% reduction in the risk of incident diabetes for each METs achieved (HR, 0.9; 95% CI, 0.88–0.92; P < 0.001). Using Cox regression, exercise capacity improved the prediction ability beyond the conventional risk factors (AUC = 0.62 to 0.66 and c-index = 0.62 to 0.68). Conclusion Exercise capacity improved the overall predictability of diabetes. Patients with reduced exercise capacity are at high risk for developing incidence diabetes. Improvement of both physical activity and functional capacity represents a preventive measure for the general population.

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Section: Introductionmentioning

confidence: 99%

Prognostic value of exercise capacity in incident diabetes: a country with high prevalence of diabetes

et al. 2022

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“…Moreover, the joint and interaction effects between genetic factors and behavioural factors on the development of T2D have been abundantly documented in previous studies 15,28,29 . In addition, research has shown that genetic susceptibility can modulate the impact of cardiorespiratory fitness and arterial stiffness on T2D 30,31 . However, few studies have examined whether and how genetic factors would influence the health impacts of the rhythm of rest‐activity on the development of T2D.…”

Section: Discussionmentioning

confidence: 99%

“…15,28,29 In addition, research has shown that genetic susceptibility can modulate the impact of cardiorespiratory fitness and arterial stiffness on T2D. 30,31 However, few studies have examined whether and how genetic factors would influence the health impacts of the rhythm of rest-activity on the development of T2D. We observed the joint effects of RA, M10 and L5 and genetic predisposition on the incidence of T2D in an exposure-response manner, which showed that high genetic risk with lower levels of RA and M10 or higher levels of L5 all jointly increased the risk of T2D.…”

Section: Discussionmentioning

confidence: 99%

The rest‐activity rhythm, genetic susceptibility and risk of type 2 diabetes: A prospective study in UK Biobank

Wu,

Liu,

Jiang

et al. 2023

Diabetes Obesity Metabolism

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AimsThis study aims to examine the association between the rest‐activity rhythm (RAR) and the incidence of type 2 diabetes (T2D).Materials and MethodsIn total, 97 503 participants without diabetes in the UK Biobank cohort were recruited. Wearable accelerometry was used to monitor circadian behaviour. The parameters of RAR including inter‐daily stability, intra‐daily variability, relative amplitude (RA), most active continuous 10 h period (M10), and least active continuous 5 h period (L5) were calculated to evaluate the robustness and regularity of the RAR. The weighted polygenic risk score for T2D (T2D‐PRS) was calculated. Cox proportion hazards models were used to evaluate the survival relationship and the joint and interaction effects of RAR parameters and T2D‐PRS on the occurrence of T2D.ResultsDuring 692 257 person‐years follow‐ups, a total of 2434 participants were documented. After adjustment for potential confounders, compared with participants in the highest quartile of RA and M10, the participants in the lowest quartile had a greater risk of T2D (HRRA = 2.06, 95% CI: 1.76‐2.41; HRM10 = 1.33, 95% CI: 1.19‐1.49). Meanwhile, the highest quartile of L5 was related to a higher risk of T2D (HR = 1.78, 95% CI: 1.55‐2.24). The joint analysis showed that the high T2D‐PRS with the lowest quartile of RA and M10, or highest quartile of L5 jointly increased the risk of T2D (HRRA = 4.46, 95% CI: 3.36‐6.42; HRM10 = 3.15, 95% CI: 2.29‐4.32; HRL5 = 3.09, 95% CI: 2.40‐3.99). No modification effects of T2D‐PRS on the association between the RAR parameters and risk of T2D were observed (p > .05).ConclusionThe unbalanced RAR are associated with a greater risk of T2D, which are independent of known risk factors of T2D.

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“…Participants aged 37 to 73 years were recruited across 22 assessment centers in the UK during 2006 to 2010. Details of its study design have been reported previously [ 17 ]. Participants were invited to provide information on lifestyle and medical history, take part in physical measurements, and provide biological samples regularly in the assessment centers at baseline.…”

Section: Methodsmentioning

confidence: 99%

The role of type 2 diabetes in the association between habitual glucosamine use and dementia: a prospective cohort study

Hou

Fang

et al. 2022

Alz Res Therapy

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Background Growing evidence has showed an association between habitual glucosamine use and type 2 diabetes (T2D). However, the effect of habitual glucosamine use on risk of dementia remains poorly understood. Our study aimed to examine the association between glucosamine use and risk of dementia and further to identify the mediating role of T2D in the association. Methods A total of 495,942 participants from UK Biobank who completed a questionnaire on habitual glucosamine use were included at baseline (2006–2010) and then followed up for incidence of dementia until 2020. Cox proportional hazard regressions were performed to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for incident dementia. Markov multi-state models were used to explore the role of incidence of T2D during the follow-up in the association. Results Overall, 18.80% of the participants reported habitual use of glucosamine at baseline. A total of 6831 dementia events were recorded during a median follow-up of 11 years. In fully adjusted models, habitual glucosamine use was associated with a significantly lower risk of dementia (HR = 0.87, 95% CI: 0.82–0.93). Multi-state models showed that the association between glucosamine use and dementia was mediated by the incidence of T2D during the follow-up (HR of dementia without T2D: 0.92, 95% CI: 0.86–0.99; HR of post-T2D dementia: 0.79, 95% CI: 0.67–0.93). Conclusions Our findings reveal that habitual use of glucosamine supplement is associated with a lower risk of dementia, which might be explained by incidence of T2D.

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Cardiorespiratory fitness, genetic susceptibility, inflammation and risk of incident type 2 diabetes: A population-based longitudinal study

Cited by 10 publications

References 36 publications

Prognostic value of exercise capacity in incident diabetes: a country with high prevalence of diabetes

Prognostic value of exercise capacity in incident diabetes: a country with high prevalence of diabetes

The rest‐activity rhythm, genetic susceptibility and risk of type 2 diabetes: A prospective study in UK Biobank

The role of type 2 diabetes in the association between habitual glucosamine use and dementia: a prospective cohort study

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