Walking speed and the risk of type 2 diabetes: a systematic review and meta-analysis

Association of self-reported and accelerometer-based walking pace with incident cardiac arrhythmias: a prospective cohort study using UK Biobank

OBJECTIVES

Dedicated studies aimed at investigating the relationship between walking pace and arrhythmia are limited. This study assessed associations between self-reported and accelerometer measured walking pace and incident cardiac arrhythmias, overall and by subtype, and explored metabolic and inflammatory markers as possible mediators.

METHODS

Self-reported average walking pace was available for 420 925 UK Biobank participants, and accelerometer measured time spent walking at different paces was available for 81 956 participants. Outcomes were incident cardiac arrhythmias: all, atrial fibrillation (AF), other (including bradyarrhythmias and ventricular arrhythmias), bradyarrhythmias and ventricular arrhythmias. Cox proportional regression models were used to investigate the associations.

RESULTS

Compared with slow walking pace, average and brisk walking pace were associated with significantly lower risks of all cardiac arrhythmias (hazard ratio (HR) 0.65, 95% confidence interval (CI) 0.62 to 0.68; HR 0.57, 95% CI 0.54 to 0.60), AF (HR 0.62, 95% CI 0.58 to 0.65; HR 0.54, 95% CI 0.50 to 0.57) and other arrhythmias (HR 0.69, 95% CI 0.64 to 0.73; HR 0.61, 95% CI 0.57 to 0.65). Overall, 36.0% of the association between walking pace and all arrhythmias was mediated via metabolic and inflammatory markers. The associations were stronger in women, in those aged <60 years, in those with a body mass index <30, in those who had hypertension and in those with ≥2 long term conditions.

CONCLUSIONS

Average and brisk self-reported walking pace and time spent walking at moderate and brisk pace were associated with a decreased risk of cardiac arrhythmias, in part mediated via metabolic and inflammatory pathways. Our findings suggest brisk walking may be a safe and effective exercise to reduce arrhythmias, especially for higher risk groups.

Systematic review and meta-analysis of the association between usual walking speed and all-cause mortality and risk of major non-communicable diseases

To examine the associations between usual walking speed and the risk of mortality and major non-communicable diseases in general population by conducting a systematic review and meta-analysis. A total of 48 studies met the eligibility criteria. Compared with the participants with the fastest walking speed, the relative risk (RR) of all-cause mortality, cardiovascular disease (CVD) incidence, cancer incidence and type 2 diabetes (T2D) incidence of the participants with the slowest walking speed were 1.49, 1.20, 1.09 and 1.31, respectively. Furthermore, a non-linear dose-response relationship was identified between usual walking speed and the risk of all-cause mortality; a linear dose-response relationship was observed with the risk of CVD incidence and T2D incidence. For per 0.1 m/s increase in walking speed, there was a 4 % and 3 % reduction in the risk of CVD and T2D, respectively. Walking speed were inversely associated with the risk of all-cause mortality and major non-communicable diseases including CVD, cancer and T2D. In light of the favourable impact of increased walking speeds on numerous health indicators, we propose that that people incorporate brisk walking into their daily lives for greater health benefits.

Walking reduces the risk of dementia in patients with Parkinson's disease: a longitudinal follow-up study

Background

Physical activity, particularly regular aerobic exercise, is effective in preventing dementia. However, such activities are less feasible for patients with Parkinson's disease (PD) or other motor dysfunctions.

Objectives

In this study, we investigated whether the minimal amount of exercise (MAE) through walking, which is practical for individuals with motor dysfunction, can reduce the risk of dementia in patients with PD.

Design

For this retrospective longitudinal study, we enrolled 470 patients with PD without dementia from 3 centers in Taiwan.

Methods

In total, 187 (39.8%) subsequently developed dementia, whereas 283 (60.2%) did not; the mean follow-up periods for these cohorts were 3.1 (range 0.3-6.1) and 2.4 (range 0.3-6.0) years, respectively. MAE was defined as walking approximately 1500-3000 steps or for 15-30 min. The patients were further stratified by the weekly frequency of MAE into MAE-no (frequency: 0), MAE-weekly (frequency: 1 or 2), and MAE-daily (frequency: ⩾3) groups, respectively. The incidence rates of dementia were compared among the three groups. Cox proportional-hazards analyses were performed to measure the effect of MAE on the incidence of dementia. The statistical model was adjusted for age, sex, education level, cognition level, activities of daily living, neuropsychiatric symptoms, vascular risk factors, and relevant medications.

Results

The MAE-weekly and MAE-daily groups were 0.69 (95% confidence interval (CI): 0.41-1.17) and 0.59 (95% CI: 0.41-0.84) times, respectively, less likely to develop dementia than the MAE-no group. When the MAE-weekly and MAE-daily groups were combined, the hazard ratio for dementia was 0.62 (95% CI: 0.45-0.85). Cox regression revealed that older age, female sex, atrial fibrillation, antidiabetic drug use, and poor daily function were associated with an increased incidence of dementia.

Conclusion

MAE may help prevent dementia in patients with PD. This finding highlights the benefits of walking for patients with PD and, potentially, older adults with motor dysfunction due to various disorders.

Physical frailty, genetic predisposition, and type 2 diabetes mellitus

AIM

To examine the association between frailty and incident type 2 diabetes mellitus (T2DM), considering the joint effect of multimorbidity and genetic risk.

METHODS

The study included 429,022 individuals in the UK Biobank. We used Cox regression with hazard ratio (HR) and 95 % confidence interval (CI) to 1) evaluate the associations of frailty with incident T2DM, 2) explore whether frailty and multimorbidity would have a joint effect, and 3) assess whether the associations were modified by genetic risk.

RESULTS

Compared with non-frail individuals, prefrail and frail individuals were at higher risk of T2DM: HR[95 %CI] = 1.42 [1.38;1.47] for prefrailty and 1.81[1.70;1.92] for frailty. Five frailty components were associated with increased risk of T2DM: HR[95 %CI] = 1.21[1.17;1.26] for weight loss, 1.35[1.30;1.40] for exhaustion, 1.31[1.26;1.37] for low physical activity, 1.27[1.20;1.33] for low grip strength, and 1.47[1.41;1.52] for slow gait speed. The increased risks were more pronounced among frail individuals with more than three morbidities: HR[95 %CI] = 4.10[3.76;4.46]. Frail individuals at high genetic risk had a four and a half-fold greater risk of T2DM compared with non-frail individuals at low genetic risk: HR[95 %CI] = 4.54[4.14;4.97].

CONCLUSION

Frailty was associated with increased risk of T2DM, especially in individuals with higher number of morbidities and high genetic risk. Frailty may be an independent risk factor for T2DM and targeted strategies to prevent and manage frailty would contribute to reducing the risk of T2DM.

Diabetes Prediction Through Linkage of Causal Discovery and Inference Model with Machine Learning Models

Background/Objectives: Diabetes is a dangerous disease that is accompanied by various complications, including cardiovascular disease. As the global diabetes population continues to increase, it is crucial to identify its causes. Therefore, we predicted diabetes using an AI model and quantitatively examined causal relationships using a causal discovery and inference model. Methods: Kaggle's dataset from the National Institute of Diabetes and Digestive and Kidney Diseases was analyzed using logistic regression, deep learning, gradient boosting, and decision trees. Causal discovery techniques, such as LiNGAM, were employed to infer relationships between variables. Results: The study achieved high accuracy across models using logistic regression (84.84%) and deep learning (84.83%). The causal model highlighted factors such as physical activity, difficulty in walking, and heavy drinking as direct contributors to diabetes. Conclusions: By combining AI with causal inference, this study provides both predictive performance and insight into the factors affecting diabetes, paving the way for tailored interventions.

Associations between brain structure and dual decline in gait and cognition

Dual decline in gait and cognition is associated with an increased risk of dementia, with combined gait and memory decline exhibiting the strongest association. To better understand the underlying pathology, we investigated the associations of baseline brain structure with dual decliners using three serial gait speed and cognitive assessments in memory, processing speed-attention, and verbal fluency. Participants (n=267) were categorized based on annual decline in gait speed and cognitive measures. Lower gray and white matter volume and higher white matter hyperintensity volume increased the risk of being a dual decliner in gait and both the memory and processing speed-attention groups (all p < 0.05). Lower hippocampal volume (p = 0.047) was only associated with dual decline in gait and memory group. No brain structures were correlated with dual decline in gait and verbal fluency. These results suggest that neurodegenerative pathology and white matter hyperintensities are involved in dual decline in gait and both memory and processing speed-attention. Smaller hippocampal volume may only contribute to dual decline in gait and memory.

Thermography, Temperature, Pressure Force Distribution and Physical Activity in Diabetic Foot: A Systematic Review

One of the most significant complications of diabetes mellitus is diabetic sensory neuropathy. A reduction in pain perception increases the risk of diabetic patients developing foot ulcers and requiring amputation, which in turn results in impaired mobility and a diminished quality of life. Despite recent advances in our understanding of the aetiology of diabetic foot ulcers (DFUs), there remains a significant gap in the clinical prevention and management of these ulcers. Given that inflammation represents the initial stage in the formation of skin wounds, the utilisation of infrared thermography for the early detection of inflammatory tissue, the analysis of plantar pressures and the monitoring of controlled physical activity (PA) may facilitate the close observation of plantar skin alterations that are susceptible to the development of DFUs, thereby enabling the implementation of timely interventions such as personalised PA for these patients. It is recommended that an integrated approach be adopted which encompasses the utilisation of all emerging technologies in order to enhance outcomes in the prevention and management of DFUs. The aim of this study is to examine the existing literature on the relationship between temperature, pressure and physical activity in the diabetic foot. To this end, a systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) format across the PubMed, Scopus and Web of Science databases, with no temporal restriction. A total of 14 studies were included in the review. The use of infrared thermography for the early detection of inflammatory tissue, plantar pressures and the monitoring of controlled PA can facilitate the close monitoring of changes that may pose a risk for the formation of UFDs and provide timely intervention, thereby personalising the PA of the diabetic patient.

Causal effect of lifestyle and metabolic indicator with herpes zoster: a two-sample Mendelian randomization study

Background

Previous observational studies have reported certain causal relationships between factors such as smoking, alcohol consumption, obesity, physical activity, metabolic disorders, and the incidence of herpes zoster (HZ). However, there is controversy regarding the observed results across different studies. Our objective was to investigate the causal effects of these risk factors on the risk of herpes zoster through a Mendelian randomization analysis using two-sample bidirectional approaches.

Methods

We conducted two-sample bidirectional Mendelian randomization analyses to explore the causal relationships between different lifestyles, obesity assessment indices, metabolic indicators, and the risk of herpes zoster. All exposure and outcome data were sourced from publicly available data from genome-wide association studies.

Results

In the inverse-variance weighted (IVW) analysis, body mass index (BMI) (OR: 1.160, 95% CI: 1.030-1.307, p = 0.014), Body fat percentage (BFP) (OR: 1.241, 95% CI: 1.050-1.467, p = 0.011), and whole body fat mass (WBFM) (OR: 1.199, 95% CI: 1.057-1.362, p = 0.005) exhibited positive associations with the risk of HZ. However, usual walking pace (UWP) (OR: 0.498, 95% CI: 0.254-0.976, p = 0.042) demonstrated a significant negative correlation with HZ risk. Other factors including alcohol intake frequency, smoking initiation, smoking status, insomnia, and sleep duration did not show significant causal relationships with HZ.

Conclusion

Mendelian randomization studies revealed that BMI, BFP, and WBFM are risk factors for HZ. UWP showed a protective effect against HZ. These findings provide a straightforward method for evaluating future clinical practices aiming to develop personalized management strategies and assess high-risk populations for HZ.

The association between the Canadian active living environments index and glucose metabolism in a Canadian national population study

Biomarkers of glucose metabolism may reflect insulin resistance, a risk factor for diabetes and cardiovascular disease (CVD). Neighborhoods conducive to a physically active lifestyle have the potential to improve these biomarkers. We examined cross-sectional associations between walkability and blood biomarkers of glucose metabolism in 29,649 Canadian Health Measures Survey (CHMS) participants. We used generalized linear mixed models with sampling weights adjusted for province, participants' age, sex, annual household income and educational attainment, cigarette smoking, environmental tobacco smoke, alcohol consumption, and exposure to ambient fine particulate air pollution (PM2.5). A higher value of the Canadian Active Living Environments Index, a measure of neighborhood walkability, equivalent to the magnitude of its interquartile range (IQR) of 2.4 was significantly associated with percentage differences of -0.48 (95% confidence interval (CI): 0.63, -0.32), -3.17 (95%CI: 5.27, -1.08), -3.88 (95%CI: 6.38, -1.38), and -3.36 (95%CI: 5.25, -1.47) in HbA1C, fasting insulin, HOMA-IR, and HOMA-β, respectively, for all CHMS participants. No significant effects were observed in those ≤16 years old. Canadians living in neighborhoods that facilitate active living have more favorable biomarkers of glucose metabolism, suggesting that the built environment has the potential to improve risk factors for diabetes and CVD in adults.

Diabetes-induced peripheral neuropathy: Is prescribing physical exercise the answer?

Diabetes mellitus, a chronic metabolic disorder characterized by hyperglycemia, has become a global health concern with an increasing prevalence worldwide. The International Diabetes Federation (IDF) estimates that over 537 million adults currently have diabetes, and they project that this figure will likely exceed 780 million by 2045. In addition, a further 541 million adults are thought to exhibit impaired glucose tolerance/prediabetes. Among its many complications, diabetic peripheral neuropathy (DPN) affects up to 50% of sufferers, with some studies showing that its prevalence, even in prediabetes, may be as high as 77%. Read more in the PDF.