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[静态最大吸气和呼气压力的年龄相关变化]

[Age-related changes in static maximal inspiratory and expiratory pressures].

作者信息

Suzuki M, Teramoto S, Sudo E, Ogawa K, Namekawa T, Motrita K, Matsuse T, Takizawa H, Ouchi Y, Fukuchi Y

机构信息

Department of Geriatrics, Faculty of Medicine, University of Tokyo, Japan.

出版信息

Nihon Kyobu Shikkan Gakkai Zasshi. 1997 Dec;35(12):1305-11.

PMID:9567073
Abstract

We evaluated 240 consecutive subjects (aged 20-91) without cardiopulmonary, endocrine or, neuromuscular disease consecutively regarding pulmonary function (TLC, VC, FEV1, RV) and static maximal inspiratory (PImax) and expiratory (PEmax) pressures. PImax and PEmax declined with advancing age. PImax correlated with grip strength, VC, FEV1, height, weight, and RV/TLC. PEmax also correlated with grip strength, TLC, VC, FEV1, height, and weight. Age, height, weight, and grip strength were entered stepwise into multiple linear regression models with PImax or PEmax as the dependent variable. Stepwise regression analysis revealed that grip strength was an independent predictor for both PImax and PEmax. However, age itself was not an independent predictor for PImax or PEmax. These results suggest that static maximal respiratory pressures decrease with aging, and that age-dependent changes in respiratory muscle function may depend on other factors, including lung volume, skeletal muscle status, and body composition.

摘要

我们连续评估了240名无心肺、内分泌或神经肌肉疾病的受试者(年龄在20 - 91岁之间),依次检测其肺功能(肺总量、肺活量、第1秒用力呼气容积、残气量)以及静态最大吸气压力(最大吸气压)和呼气压力(最大呼气压)。最大吸气压和最大呼气压随年龄增长而下降。最大吸气压与握力、肺活量、第1秒用力呼气容积、身高、体重以及残气量/肺总量相关。最大呼气压也与握力、肺总量、肺活量、第1秒用力呼气容积、身高和体重相关。将年龄、身高、体重和握力逐步纳入以最大吸气压或最大呼气压为因变量的多元线性回归模型。逐步回归分析显示,握力是最大吸气压和最大呼气压的独立预测因素。然而,年龄本身并非最大吸气压或最大呼气压的独立预测因素。这些结果表明,静态最大呼吸压力随衰老而降低,并且呼吸肌功能随年龄的变化可能取决于其他因素,包括肺容积、骨骼肌状态和身体组成。

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