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非运动估算的心肺适能与成年人 2 型糖尿病发病风险。

Non-exercise estimated cardiorespiratory fitness and incident type 2 diabetes in adults.

机构信息

Department of Exercise Science, Norman J. Arnold School of Public Health, University of South Carolina, Columbia, SC, 29208, USA; Expeditionary and Cognitive Sciences Research Group, Department of Warfighter Performance, Naval Health Research Center, Leidos Inc. (Contract), San Diego, CA, 92106, USA.

Department of Exercise Science, Norman J. Arnold School of Public Health, University of South Carolina, Columbia, SC, 29208, USA.

出版信息

Diabetes Res Clin Pract. 2024 Aug;214:111791. doi: 10.1016/j.diabres.2024.111791. Epub 2024 Jul 25.

Abstract

AIM(S): To examine the association between non-exercise estimated cardiorespiratory fitness (eCRF) and incident type 2 diabetes.

METHODS

In a sample of 13,616 men and women without diabetes at baseline, incident type 2 diabetes were determined as fasting plasma glucose level ≥ 7 mmol/l (126 mg/dL), self-report, or insulin usage at follow-up. eCRF was calculated in metabolic equivalents (METs) at baseline using sex-specific algorithms, including physical activity, smoking status, age, body mass index, waist circumference, and resting heart rate. Cox regression models were performed, and hazard ratios (HRs), 95 % confidence intervals (CIs), and p values were reported.

RESULTS

Each 1-MET unit increase in eCRF was associated with an 11 % lower risk of incident type 2 diabetes (p < 0.0001). Men in the upper and middle eCRF tertiles were at 46 % (95 % CI, 0.42-0.68) and 29 % (95 % CI, 0.57-0.88) lower risk of incident type 2 diabetes compared to the lower eCRF tertile (p < 0.0001). For women, there were no significant findings between eCRF tertiles and incident type 2 diabetes (p ≥ 0.11 for all).

CONCLUSIONS

Higher eCRF was associated with a lower incidence of type 2 diabetes in men. Further research needs to examine the association between eCRF and type 2 diabetes in women.

摘要

目的

研究非运动估计心肺功能(eCRF)与 2 型糖尿病发病的相关性。

方法

在基线时无糖尿病的 13616 名男性和女性样本中,通过空腹血糖水平≥7mmol/L(126mg/dL)、自我报告或随访时胰岛素使用情况来确定 2 型糖尿病的发病情况。eCRF 使用基于性别的算法,包括体力活动、吸烟状况、年龄、体重指数、腰围和静息心率,在基线时以代谢当量(MET)计算。进行 Cox 回归模型分析,并报告危险比(HRs)、95%置信区间(CIs)和 p 值。

结果

eCRF 每增加 1 个 MET 单位,2 型糖尿病发病的风险降低 11%(p<0.0001)。eCRF 处于较高和中等 tertile 的男性发病 2 型糖尿病的风险分别降低 46%(95%CI,0.42-0.68)和 29%(95%CI,0.57-0.88),与较低 eCRF tertile 相比(p<0.0001)。对于女性,eCRF tertiles 与 2 型糖尿病发病之间没有显著关联(p≥0.11)。

结论

较高的 eCRF 与男性 2 型糖尿病的发病率降低相关。需要进一步研究以检验 eCRF 与女性 2 型糖尿病之间的关系。

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