Subtypes of physical frailty and their long-term outcomes: a longitudinal cohort study.
Subtypes of physical frailty and their long-term outcomes: a longitudinal cohort study.
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DOI：
10.1002/jcsm.12577
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发表时间：
2020-10
期刊：
影响因子：
--
通讯作者：
Chen LK
中科院分区：
文献类型：
--
作者：
Huang ST;Tange C;Otsuka R;Nishita Y;Peng LN;Hsiao FY;Tomida M;Shimokata H;Arai H;Chen LK
身体虚弱的组成部分分为亚型，但仍不清楚这些如何与年龄相关的功能下降和多病相关。本研究旨在通过10年的纵向队列调查，探讨身体虚弱亚型与功能下降和多发病的关系。补充纵向队列研究使用基于组的多轨迹模型来验证在台湾发现的虚弱亚型是否存在于另一个老龄化队列中，然后研究这些亚型与认知衰退和多发性硬化的相关性。年龄≥50岁的受试者是从日本国家长寿科学研究所-老龄化纵向研究的第三至第六波（2002年5月至2010年7月）招募的。排除了数据不完整、指数波前虚弱前/虚弱状态、数据不完整或随访期间死亡的患者。基于组的轨迹分析将五个既定的身体虚弱标准表示为随访期间每个波中的时变二元变量。事件虚弱被分类为移动性亚型（虚弱/缓慢）、非移动性亚型（体重减轻/衰竭）或低体力活动亚型。一般线性模型研究了这些虚弱亚型与2年随访时日常生活活动、数字符号替代试验（DSST）和Charlson Comorbid指数（CCI）的相关性。我们确定了身体虚弱的四个纵向轨迹，这证实了我们以前发现的不同亚型。在940名合格的参与者中，38.0%是健壮的，18.4%有移动亚型虚弱，20.7%为非移动亚型，20.1%为低体力活动亚型。患有运动型虚弱的人比其他虚弱亚型或健康状态的人年龄更大，并且高血压，糖尿病和心力衰竭的患病率更高。在多变量校正的一般线性模型中，与其他组相比，移动亚型虚弱与DSST评分显著降低（点估计值为-2.28，P = 0.03）和CCI显著升高（点估计值为0.82，P < 0.01）相关。活动性亚型虚弱与功能下降和多发性硬化的进展相关;身体虚弱亚型的长期影响值得进一步研究。
Components of physical frailty cluster into subtypes, but it remains unknown how these might be associated with age‐related functional declines and multimorbidities. This study aims to investigated associations of physical frailty subtypes with functional declines and multimorbidity in a 10 year longitudinal cohort survey. Complementary longitudinal cohort study used group‐based multitrajectory modelling to verify whether frailty subtypes discovered in Taiwan are presented in another aging cohort, then investigated associations of these subtypes with cognitive decline and multimorbidity. Participants aged ≥50 years were recruited from the third to sixth waves (May 2002 to July 2010) of the National Institute for Longevity Sciences‐Longitudinal Study of Aging, in Japan. People with incomplete data, pre‐frail/frail status before their index wave, and those with incomplete data or who died during follow‐up, were excluded. Group‐based trajectory analysis denoted five established physical frailty criteria as time‐varying binary variables in each wave during follow‐up. Incident frailty was classified as mobility subtype (weakness/slowness), non‐mobility subtype (weight loss/exhaustion), or low physical activity subtype. General linear modelling investigated associations of these frailty subtypes with activities of daily living, digit symbol substitution test (DSST) and Charlson Comorbidity Index (CCI) at 2 year follow‐up. We identified four longitudinal trajectories of physical frailty, which corroborated the distinct subtypes we discovered previously. Among 940 eligible participants, 38.0% were robust, 18.4% had mobility subtype frailty, 20.7% non‐mobility subtype, and 20.1% low physical activity subtype. People with mobility subtype frailty were older than those with other frailty subtypes or robust status and had higher prevalence of hypertension, diabetes, and heart failure. In the multivariable‐adjusted general linear models, mobility‐subtype frailty was associated with a significantly lower DSST score (point estimate −2.28, P = 0.03) and higher CCI (point estimate 0.82, P < 0.01) than the other groups. Mobility‐subtype frailty was associated with functional declines and progression of multimorbidity; the long‐term effects of physical frailty subtypes deserve further investigation.
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影响因子：
5.8
作者：
Cano, C.;Samper-Ternent, R.;Al Snih, S.;Markides, K.;Ottenbacher, K. J.
通讯作者：
Ottenbacher, K. J.
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DOI：
10.1002/jcsm.12195
发表时间：
2017-08
期刊：
Journal of cachexia, sarcopenia and muscle
影响因子：
--
作者：
Kohara K;Okada Y;Ochi M;Ohara M;Nagai T;Tabara Y;Igase M
通讯作者：
Igase M
影响因子：
3
作者：
Chaudhry, S;Jin, L;Meltzer, D
通讯作者：
Meltzer, D
DOI：
10.1002/jcsm.12051
发表时间：
2015-12
期刊：
Journal of cachexia, sarcopenia and muscle
影响因子：
--
作者：
Calvani R;Marini F;Cesari M;Tosato M;Anker SD;von Haehling S;Miller RR;Bernabei R;Landi F;Marzetti E;SPRINTT consortium
通讯作者：
SPRINTT consortium
影响因子：
2.3
作者：
Li F;Takechi H;Kokuryu A;Takahashi R
通讯作者：
Takahashi R