| Title: | Optimal amount of vigorous-intensity physical activity for lowering incidence of microvascular diseases: A prospective cohort study from the UK Biobank |
| Journal: | Diabetes Research and Clinical Practice |
| Published: | 26 Apr 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/40294653/ |
| DOI: | https://doi.org/10.1016/j.diabres.2025.112203 |
Publication 15740
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Abstract
AIMS: To explore the amount-response associations between the duration of physical activity (PA) at different intensities and the risks of microvascular diseases (MVDs), with a particular focus on identifying the optimal amount of vigorous-intensity PA (VPA).</p>
METHODS: In this prospective cohort study, PA of different intensities were measured using wrist-worn accelerometers. MVDs, including nephropathy, neuropathy, and retinopathy, were identified from hospital inpatient records. Cox models and restricted cubic splines were used to evaluate the associations.</p>
RESULTS: This prospective study included 92,275 participants (40,256 males and 52,019 females) with a mean (SD) age of 61.7 (7.8) years. During a median follow-up of 7.9 years, a total of 5,201 individuals were diagnosed with MVDs, including 2,385 with nephropathy, 512 with neuropathy, and 2,666 with retinopathy. An L-shaped amount-response association for VPA and overall MVDs was observed (P value for non-linearity < 0.001), with the optimal amount of 38 (95 % CI: 34, 44) minutes/week, corresponding to an HR of 0.71 (95 % CI: 0.64, 0.77).</p>
CONCLUSION: VPA of 34-44 min/week were associated with 23 %-36 % lower risks of overall MVDs, with a less pronounced decline in risk thereafter. These findings may have implications for the future revision of physical activity recommendations to better improve microvascular health.</p>
13 Keywords
- Accelerometry
- Aged
- Biological Specimen Banks
- Diabetic Angiopathies
- Exercise
- Female
- Humans
- Incidence
- Male
- Middle Aged
- Prospective Studies
- UK Biobank
- United Kingdom
9 Authors
- Lan Yu
- Guangbin Sun
- Yinyue Liu
- Dongfang Zhang
- Xiang Li
- Qiang Zhang
- Xiaolong Xing
- Xumei Zhang
- Xueli Yang
1 Application
| Application ID | Title |
|---|---|
| 90831 | Gene-diet interaction analysis to reveal individual differences in health effects of polyphenols |
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