Bae Kyung Hyun, Jo Yong Ho, Lee Dong Ryul, Lee Jungun
Department of Family Medicine, Wonkwang University Sanbon Hospital, Wonkwang University School of Medicine, Gunpo, Korea.
Korean J Fam Med. 2021 Jan;42(1):38-46. doi: 10.4082/kjfm.19.0140. Epub 2020 May 27.
Handgrip strength (HGS) is a good predictor of adverse health outcomes in later life. This prospective study aimed to investigate whether HGS trajectory patterns were associated with all-cause mortality among older adults in Korea.
This study used the database of the 2006-2016 Korean Longitudinal Study of Aging. Study participants included 3,069 adults aged ≥65 years without a previous history of cancer. The trajectory model was developed to identify different homogeneous trajectory patterns of HGS according to study period. Cox proportional hazards models were then applied to investigate the association between HGS and all-cause mortality.
The survival probability according to HGS during the follow-up period decreased as base HGS weakened. We identified four distinct trajectory groups of HGS among men and three among women. The risk of mortality increased as the HGS of both males and females decreased. Compared with the highest HGS group, the adjusted hazard ratios for all-cause mortality of the lowest, lower-mid, and upper-mid HGS groups among males were 3.46 (95% confidence interval [CI], 2.17-6.69), 2.26 (95% CI, 1.47-3.48), and 1.58 (95% CI, 1.07-2.32). Those of the low and mid HGS groups among females were 2.69 (95% CI, 1.39-5.21) and 1.97 (95% CI, 1.05-3.69).
The faster HGS declined over time, the greater the all-cause mortality risk increased compared with the slowly decreasing or maintained HGS groups among men and women. HGS measurement among older adults will be helpful in assessing their health statuses and pre-assessing disease-associated morbidity.
握力(HGS)是晚年不良健康结局的良好预测指标。这项前瞻性研究旨在调查韩国老年人中握力轨迹模式是否与全因死亡率相关。
本研究使用了2006 - 2016年韩国老龄化纵向研究的数据库。研究参与者包括3069名年龄≥65岁且无癌症病史的成年人。根据研究期间建立轨迹模型以识别握力的不同同质轨迹模式。然后应用Cox比例风险模型来研究握力与全因死亡率之间的关联。
随访期间,随着基础握力减弱,根据握力得出的生存概率降低。我们在男性中识别出四种不同的握力轨迹组,在女性中识别出三种。男性和女性的握力降低时,死亡风险均增加。与最高握力组相比,男性中最低、中低和中高握力组全因死亡率的调整后风险比分别为3.46(95%置信区间[CI],2.17 - 6.69)、2.26(95%CI,1.47 - 3.48)和1.58(95%CI,1.07 - 2.32)。女性中低和中握力组的风险比分别为2.69(95%CI,1.39 - 5.21)和1.97(95%CI,1.05 - 3.69)。
与握力缓慢下降或保持的男性和女性组相比,随着时间推移握力下降得越快,全因死亡风险增加得越大。对老年人进行握力测量将有助于评估他们的健康状况,并预先评估与疾病相关的发病率。