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Scaling VO2max to body size differences to evaluate associations to CVD incidence and all-cause mortality risk
BMJ Open Sport & Exercise Medicine Pub Date : 2021-01-01 , DOI: 10.1136/bmjsem-2020-000854
Jane Salier Eriksson , Björn Ekblom , Gunnar Andersson , Peter Wallin , Elin Ekblom-Bak

Objective To evaluate and compare ratio and allometric scaling models of maximal oxygen consumption (VO2max) for different body size measurements in relation to cardiovascular disease (CVD) incidence and all-cause mortality. Methods 316 116 individuals participating in occupational health screenings, initially free from CVD, were included. VO2max was estimated using submaximal cycle test. Height, body mass and waist circumference (WC) were assessed, and eight different scaling models (two evaluated in a restricted sample with WC data) were derived. Participants were followed in national registers for first-time CVD event or all-cause mortality from their health screening to first CVD event, death or 31 December 2015. Results Increasing deciles of VO2max showed lower CVD risk and all-cause mortality for all six models in the full sample (p<0.001) as well as with increasing quintiles in the restricted sample (eight models) (p<0.001). For CVD risk and all-cause mortality, significantly weaker associations with increasing deciles for models 1 (L·min−1) and 5 (mL·min−1·height−2) were seen compared with model 2 (mL·min−1·kg−1), (CVD, p<0.00001; p<0.00001: all-cause mortality, p=0.008; p=0.001) and in some subgroups. For CVD, model 6 (mL·min−1·(kg1·height−1)−1) had a stronger association compared with model 2 (p<0.00001) and in some subgroups. In the restricted sample, trends for significantly stronger associations for models including WC compared with model 2 were seen in women for both CVD and all-cause mortality, and those under 50 for CVD. Conclusion In association to CVD and all-cause mortality, only small differences were found between ratio scaling and allometric scaling models where body dimensions were added, with some stronger associations when adding WC in the models.

中文翻译:

将VO 2 max缩放至体重差异,以评估与CVD发生率和全因死亡风险的关联

目的评估和比较与心血管疾病(CVD)发生率和全因死亡率有关的不同体型测量值的最大耗氧量(VO2max)的比率和异度缩放比例模型。方法包括316 116名参加职业健康筛查的患者,这些患者最初没有CVD。使用最大循环试验估算最大摄氧量。评估了身高,体重和腰围(WC),并得出了八个不同的比例模型(其中两个模型在带有WC数据的受限样本中进行了评估)。从参与者的健康筛查到首次CVD事件,死亡或2015年12月31日,都在国家登记册中跟踪参与者的首次CVD事件或全因死亡率。结果VO2max的十分位数增加表明,所有六个模型的CVD风险和全因死亡率均降低在完整样本中(p <0。001)以及受限样本中的五分位数增加(八个模型)(p <0.001)。对于CVD风险和全因死亡率,与模型2(mL·min-1)相比,与模型1(L·min-1)和5(mL·min-1·height-2)的增加十进制相关性明显更弱。 ·kg-1)(CVD,p <0.00001; p <0.00001:全因死亡率,p = 0.008; p = 0.001)和某些亚组。对于CVD,模型6(mL·min-1·(kg1·高度-1)-1)与模型2(p <0.00001)和某些亚组相比具有更强的关联性。在受限制的样本中,女性的CVD和全因死亡率与CVD低于50的女性相比,包括WC的模型与模型2的关联显着增强。结论与CVD和全因死亡率相关,
更新日期:2021-02-12
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