摘要
目的了解山东省青岛市社区中老年人老化表型的分布特征,探讨年龄对老化表型影响及其潜在机制。方法采用分层整群随机抽样方法,从青岛市抽取50～74岁居民2 006人,测量健康自评(SRH)、握力、5次起坐时间(STS-5)、第1秒肺通气量(FEV1)、最大肺通气量(FVC)、近视力、牙齿脱落数、听力、认知功能和抑郁症状,应用Amos 7.0软件构建年龄及潜在共因子与10个老化表型的结构方程模型(SEM)。结果调查对象的SRH、握力、FEV1、FVC分别为(3.8±0.8)分、(30.4±10.7)kg、(1.9±0.6)L、(2.3±0.8)L;STS-5、近视力、牙齿脱落数、平均听阈、认知功能、抑郁症状的M(P25、P75)分别为10.0(8.7,12.0)s、0.25(0.20,0.30)、3(1,5)颗、26.3(22.5,32.5)dB、30(27,30)分、29(23,34)分;随着年龄增加,SRH(β=-0.013)、握力(β=-0.369)、FEV1(β=-0.025)、FVC(β=-0.023)、近视力(β=-0.005)、认知功能(β=-0.016)呈下降趋势(P<0.001),STS-5(β=0.130)、牙齿脱落数(β=0.290)、平均听阈(β=0.516)、抑郁症状(β=0.123)呈上升趋势(P<0.001);有1个独立于年龄外的潜在共因子对除了平均听阈(P=0.161)以外的其他9个表型(∣β∣=0.012～5.513,P<0.05)均有保护作用。结论老化表型随着年龄增大呈下降趋势,人类老化过程中可能有一个潜在的保护机制。
Objective To examine the distribution of ageing phenotype among the elderly in Qingdao city and to explore the effects of age on ageing phenotype and whether there is a common factor or as-yet-unknown true cause representing shared variance for ageing phenotype.Methods A total of 2 006 Qingdao residents aged 50-74 years participated the survey in 2009.Individual＇s self-rated health（SRH）,hand grip strength,5 sit-to-stand test time（STS-5）,forced expiratory volumes in 1 second（FEV1）,force vital capacity（FVC）,near visual acuity,number of teeth lost,hearing threshold,cognitive function,and depression were measured.Structural equation model（SEM） was fitted by using Amos 7.0 software to explore the latent common factor for the ageing phenotypes.Results With the increase of age,SRH（β=-0.013）,grip strength（β=-0.369）,FEV1（β=-0.025）,FVC（β=-0.023）,near visual acuity（β=-0.005）,and cognitive function（β=-0.016） declined（P0.001 for all）,while STS-5 time（β=0.130）,number of teeth lost（β=0.290）,hearing threshold（β=0.516）,and depression（β=0.123） increased（P0.001 for all）.SEM analysis supported a latent common factor protecting ten phenotypes（∣β∣=0.012-5.513,P0.05） except hearing threshold（P=0.161）.Conclusion All the ageing phenotypes being measured declined obviously with the increase of age.There is a latent common protective mechanism underlying the human healthy ageing.
出处
《中国公共卫生》
CAS
CSCD
北大核心
2012年第10期1376-1379,共4页
Chinese Journal of Public Health
关键词
年龄
老化表型
潜在共因子
结构方程模型
age
ageing phenotype
latent common factor
structural equation model
