Salier Eriksson Jane, Ekblom Björn, Andersson Gunnar, Wallin Peter, Ekblom-Bak Elin
Åstrand Laboratory of Work Physiology, Swedish School of Sport and Health Sciences, Stockholm, Sweden.
Research Department, HPI Health Profile Institute, Danderyd, Sweden.
BMJ Open Sport Exerc Med. 2021 Jan 29;7(1):e000854. doi: 10.1136/bmjsem-2020-000854. eCollection 2021.
To evaluate and compare ratio and allometric scaling models of maximal oxygen consumption (VOmax) for different body size measurements in relation to cardiovascular disease (CVD) incidence and all-cause mortality.
316 116 individuals participating in occupational health screenings, initially free from CVD, were included. VOmax 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.
Increasing deciles of VOmax 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) and 5 (mL·min·height) were seen compared with model 2 (mL·min·kg), (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·(kg·height)) 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.
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.
评估并比较针对不同身体尺寸测量的最大耗氧量（VOmax）的比例模型和异速生长缩放模型，及其与心血管疾病（CVD）发病率和全因死亡率的关系。
纳入316116名参与职业健康筛查且最初无CVD的个体。使用亚极量自行车测试估算VOmax。评估身高、体重和腰围（WC），并推导了八种不同的缩放模型（其中两种在有WC数据的受限样本中进行评估）。参与者在国家登记处接受随访，记录从健康筛查到首次CVD事件、死亡或2015年12月31日期间的首次CVD事件或全因死亡率。
在全样本中，所有六种模型的VOmax十分位数增加均显示出较低的CVD风险和全因死亡率（p<0.001），在受限样本（八种模型）中五分位数增加时也有此情况（p<0.001）。对于CVD风险和全因死亡率，与模型2（mL·min·kg）相比，模型1（L·min）和模型5（mL·min·身高）与十分位数增加的关联明显较弱（CVD，p<0.00001；p<0.00001：全因死亡率，p=0.008；p=0.001），在一些亚组中也是如此。对于CVD，模型6（mL·min·(kg·身高)）与模型2相比有更强的关联（p<0.00001），在一些亚组中也是如此。在受限样本中，在女性中，对于CVD和全因死亡率，与模型2相比，包括WC的模型的关联有显著更强的趋势，对于CVD，50岁以下人群也是如此。
在与CVD和全因死亡率的关联方面，在添加身体尺寸的比例缩放模型和异速生长缩放模型之间仅发现微小差异，在模型中添加WC时，一些关联更强。
