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3 "Follow-up studies"
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Complications
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Cardiorespiratory Fitness and Risk of Microvascular Complications in Patients with Type 2 Diabetes Mellitus
Anning Xu, Haofeng Zhou, Chaofan Wang, Qian He, Ping Wu, Wenjing Wu, Hongjiang Wu, Alice P.S. Kong, Huanyi Cao, Haixia Guan, Yunjiu Cheng
Received November 5, 2025  Accepted February 10, 2026  Published online May 18, 2026  
DOI: https://doi.org/10.4093/dmj.2025.1109    [Epub ahead of print]
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  • 38 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
To investigate the association between cardiorespiratory fitness (CRF) and the risk of incident microvascular complications in patients with type 2 diabetes mellitus (T2DM), and to assess the effect of genetic risk and potential mediation by circulating biomarkers.
Methods
This prospective analysis included 3,102 adults with T2DM from the UK Biobank. CRF was estimated as maximal oxygen uptake using a submaximal cycle test and categorized as low, moderate, or high. Cox proportional hazards models were used to estimate hazard ratios (HRs) for incident diabetic nephropathy, retinopathy, and neuropathy. Interactions with a polygenic risk score and mediating roles of biomarkers were evaluated.
Results
Over a median 12.47-year follow-up, 331 nephropathy, 268 retinopathy, and 88 neuropathy cases were recorded. Compared to low CRF, moderate and high CRF were associated with 22% (HR, 0.78; 95% confidence interval [CI], 0.61 to 0.99) and 45% (HR, 0.55; 95% CI, 0.36 to 0.85) lower risks of nephropathy, respectively. Each 1-metabolic equivalent of task increment in CRF was linked to 11% lower nephropathy risk. No significant associations were found for retinopathy or neuropathy. Genetic predisposition did not modify the association between CRF and diabetic nephropathy. Triglycerides and white blood cell count accounted for 7.46% and 12.88% of the association, respectively.
Conclusion
Higher CRF is independently associated with lower risk of diabetic nephropathy in T2DM, and genetic risk does not alter this relationship. The association was partially mediated by triglycerides and white blood cell count. Assessing CRF may improve risk stratification and prevention of diabetic kidney disease.
Metabolic Risk/Epidemiology
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Healthy Lifestyle and the Risk of Metabolic Dysfunction-Associated Fatty Liver Disease: A Large Prospective Cohort Study
Qing Chang, Yixiao Zhang, Tingjing Zhang, Zuyun Liu, Limin Cao, Qing Zhang, Li Liu, Shaomei Sun, Xing Wang, Ming Zhou, Qiyu Jia, Kun Song, Yang Ding, Yuhong Zhao, Kaijun Niu, Yang Xia
Diabetes Metab J. 2024;48(5):971-982.   Published online March 19, 2024
DOI: https://doi.org/10.4093/dmj.2023.0133
  • 10,592 View
  • 257 Download
  • 14 Web of Science
  • 12 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
The incidence density of metabolic dysfunction-associated fatty liver disease (MAFLD) and the effect of a healthy lifestyle on the risk of MAFLD remain unknown. We evaluated the prevalence and incidence density of MAFLD and investigated the association between healthy lifestyle and the risk of MAFLD.
Methods
A cross-sectional analysis was conducted on 37,422 participants to explore the prevalence of MAFLD. A cohort analysis of 18,964 individuals was conducted to identify the incidence of MAFLD, as well as the association between healthy lifestyle and MAFLD. Cox proportional hazards regression was used to calculate the hazard ratio (HR) and 95% confidence interval (CI) with adjustments for confounding factors.
Results
The prevalence of MAFLD, non-alcoholic fatty liver disease, and their comorbidities were 30.38%, 28.09%, and 26.13%, respectively. After approximately 70 thousand person-years of follow-up, the incidence densities of the three conditions were 61.03, 55.49, and 51.64 per 1,000 person-years, respectively. Adherence to an overall healthy lifestyle was associated with a 19% decreased risk of MAFLD (HR, 0.81; 95% CI, 0.72 to 0.92), and the effects were modified by baseline age, sex, and body mass index (BMI). Subgroup analyses revealed that younger participants, men, and those with a lower BMI experienced more significant beneficial effects from healthy lifestyle.
Conclusion
Our results highlight the beneficial effect of adherence to a healthy lifestyle on the prevention of MAFLD. Health management for improving dietary intake, physical activity, and smoking and drinking habits are critical to improving MAFLD.

Citations

Citations to this article as recorded by  
  • The Role of Kupffer Cells and Liver Macrophages in the Pathogenesis of Metabolic Dysfunction-Associated Steatotic Liver Disease
    Ioannis Tsomidis, Angeliki Tsakou, Argyro Voumvouraki, Elias Kouroumalis
    Biomedicines.2026; 14(1): 151.     CrossRef
  • Biomarkers for early identification of metabolic dysfunction-associated steatotic liver disease (MASLD): a narrative review
    Aleksandra Klisic, Ratko Tomašević, Slavko Djuraskovic, Filiz Mercantepe, Ana Ninic
    Archives of Medical Science.2026;[Epub]     CrossRef
  • Impact of healthy lifestyles on the risk of metabolic dysfunction‐associated steatotic liver disease among adults with comorbid hypertension and diabetes: Novel insight from a largely middle‐aged and elderly cohort in South China
    Jun‐Yan Xi, Yi‐Jing Wang, Xiao‐Heng Li, Nuo‐Min Sun, Rui‐Qi Ming, Hua‐Ling Yan, Huan‐Le Cai, Jian‐Jun Bai, Yi‐Ning Xiang, Jing Gu, Xiao Lin, Gang Liu, Yuan‐Tao Hao
    Diabetes, Obesity and Metabolism.2025; 27(5): 2800.     CrossRef
  • Cholesteryl ester transfer protein gene variants and metabolic dysfunction-associated steatotic liver disease: genetic associations with steatosis in obese and lean individuals
    Asmaa AbdelFattah, Mahmoud Kattab, Hosny Abdel Ghany, Lamiaa Aly, Ahmed Mady, Aly Hamdi, Riham Soliman, Gamal Shiha, Nada El-Domiaty
    Egyptian Liver Journal.2025;[Epub]     CrossRef
  • Research trends on the quality of life in patients with metabolic dysfunction-associated fatty liver diseases: a scientific metrology study
    Can Huang, Meng Chen, Yanfang Sun, Lin Zhang, Wei Liu
    Frontiers in Nutrition.2025;[Epub]     CrossRef
  • The relationship between tobacco and non-alcoholic fatty liver disease incidence: a systematic review and meta-analysis of observational studies
    Jianxiang Jin, Yuping Zhang, Yiping Huang
    Frontiers in Medicine.2025;[Epub]     CrossRef
  • Enhancing MAFLD Care: Efficacy of a Multidisciplinary Community Intervention on Self-Management and Hepatic Outcomes
    Huan-Jing Cai, Hai-Lun Liang, Lei-Yu Shi, Yi-Hui Rong, Jing Li, Yan Zhang, Rui-Fang Ma
    INQUIRY: The Journal of Health Care Organization, Provision, and Financing.2025;[Epub]     CrossRef
  • Mechanistic investigation of DDT/DDE in MASLD/MASH pathogenesis: An integrated network toxicology and transcriptomics approach
    Yicheng Jiang, Yuancheng Shao, Jiaming Xue, Zhigang Chen, Qi Liu, Shuai Chen, Xihan Gu, Shufan Zhang, Liming Tang
    Ecotoxicology and Environmental Safety.2025; 307: 119390.     CrossRef
  • Multiorgan crosstalk in MASLD/MASH: from hepatic pathogenesis to systemic complications
    Wenhua Bai, Zheng Zhu
    Frontiers in Endocrinology.2025;[Epub]     CrossRef
  • Diagnostic indicators and lifestyle interventions of metabolic-associated fatty liver disease
    Tianzhu Chen, Xiang Qin, Jianping Jiang, Beihui He
    Frontiers in Nutrition.2024;[Epub]     CrossRef
  • Sex differences in pathogenesis and treatment of dyslipidemia in patients with type 2 diabetes and steatotic liver disease
    Tatjana Ábel, Béla Benczúr, Éva Csajbókné Csobod
    Frontiers in Medicine.2024;[Epub]     CrossRef
  • Associations of traditional healthy lifestyle and sleep quality with metabolic dysfunction-associated fatty liver disease: two population-based studies
    Jialu Yang, Qi Zhang, Wanying Zhao, Bingqi Ye, Siqi Li, Zhuoyu Zhang, Jingmeng Ju, Jialin He, Min Xia, Tiantian Xiong, Yan Liu
    Nutrition & Diabetes.2024;[Epub]     CrossRef
Metabolic Risk/Epidemiology
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Prediabetes Progression and Regression on Objectively- Measured Physical Function: A Prospective Cohort Study
Shanhu Qiu, Yiming Zhu, Bo Xie, Wenji Chen, Duolao Wang, Xue Cai, Zilin Sun, Tongzhi Wu
Diabetes Metab J. 2023;47(6):859-868.   Published online August 23, 2023
DOI: https://doi.org/10.4093/dmj.2022.0377
  • 6,733 View
  • 181 Download
  • 3 Web of Science
  • 3 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Prediabetes leads to declines in physical function in older adults, but the impact of prediabetes progression or regression on physical function is unknown. This study assessed this longitudinal association, with physical function objectivelymeasured by grip strength, walking speed, and standing balance, based on the Health and Retirement Study enrolling United States adults aged >50 years.
Methods
Participants with prediabetes were followed-up for 4-year to ascertain prediabetes status alteration (maintained, regressed, or progressed), and another 4-year to assess their impacts on physical function. Weak grip strength was defined as <26 kg for men and <16 kg for women, slow walking speed was as <0.8 m/sec, and poor standing balance was as an uncompleted fulltandem standing testing. Logistic and linear regression analyses were performed.
Results
Of the included 1,511 participants with prediabetes, 700 maintained as prediabetes, 306 progressed to diabetes, and 505 regressed to normoglycemia over 4 years. Grip strength and walking speed were declined from baseline during the 4-year followup, regardless of prediabetes status alteration. Compared with prediabetes maintenance, prediabetes progression increased the odds of developing weak grip strength by 89% (95% confidence interval [CI], 0.04 to 2.44) and exhibited larger declines in grip strength by 0.85 kg (95% CI, –1.65 to –0.04). However, prediabetes progression was not related to impairments in walking speed or standing balance. Prediabetes regression also did not affect any measures of physical function.
Conclusion
Prediabetes progression accelerates grip strength decline in aging population, while prediabetes regression may not prevent physical function decline due to aging.

Citations

Citations to this article as recorded by  
  • Changes in impaired physical function in older adults and the influences of physical activity: a population-based cohort study
    Shanhu Qiu, Bo Xie, Zilin Sun, Xue Cai, Tongzhi Wu
    BMC Geriatrics.2026;[Epub]     CrossRef
  • Development of a scoring system for vitality capacity assessment in older adults: a population-based study
    Xue Cai, Cuirong Xu, Zhiju Gu, Tongzhi Wu, Shanhu Qiu
    European Geriatric Medicine.2025; 17(2): 1065.     CrossRef
  • Cluster-based subgroups of prediabetes and its association with prediabetes progression and regression: a prospective cohort study
    Yan Liu, Yu Liu, Min Zhang, Xinchen Wang, Xiaoying Zhou, Haijian Guo, Bei Wang, Duolao Wang, Zilin Sun, Shanhu Qiu
    Acta Diabetologica.2024; 62(7): 1139.     CrossRef

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