Pre-frailty factors in community-dwelling 40-75 year olds: opportunities for successful ageing

Pre-frailty factors in community-dwelling 40-75 year olds: opportunities for successful ageing
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社区居住的40-75岁老年人的前脆弱因素:成功老龄化的机会

DOI:
10.1186/s12877-020-1490-7
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发表时间:
2020-03-06
期刊:
影响因子:
4.1
通讯作者:
Grimmer, K. A.
Grimmer, K. A.
中科院分区:
医学2区
文献类型:
--
作者:
Gordon, S. J.;Baker, N.;Grimmer, K. A.

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背景对于虚弱前的属性或导致虚弱的变化何时可以检测到并易于改变知之甚少。本研究探讨了40-75岁独立社区居住的成年人的前脆弱和脆弱。方法通过澳大利亚阿德莱德的地方理事会网络、一家国家银行和一所大学招募参与者。油炸脆弱表型得分计算的措施,无意的体重减轻,疲惫,体力活动水平低,手握力差,步行速度慢。参与者被确定为不虚弱(没有表型),虚弱前(一个或两个表型)或虚弱(三个或更多表型)。因子分析应用于二进制形式的25个已发表的脆弱措施的差异进行了测试,在三个油炸脆弱表型和ROC曲线估计的预测能力的因素之间的平均因子得分。结果在656名参与者中(67%为女性;平均年龄59.9岁,SD 10.6),59.2%被归类为不虚弱,39.0%为虚弱前期,1.8%为虚弱。没有性别或年龄差异。确定了7个脆弱因素,包括所有25个脆弱措施。因子1和因子7显著预测了从非虚弱到虚弱前期的进展(因子1 AUC 0.64(95%CI 0.60-0.68),包括动态躯干稳定性和下肢功能强度、平衡、足部感觉、听力、瘦肌肉质量和低BMI;因子7 AUC 0.55(95%CI 0.52-0.59),包括饮食和营养。因素3和4显著预测了从虚弱前期到虚弱的进展(因素3 AUC 0.65(95%CI 0.59-0.70)),结合了独居、睡眠质量、抑郁和焦虑以及肺功能;因素4 AUC 0.60(95%CI 0.54-0.66)包括运动时的自觉劳累和福尔斯史。结论本研究确定了40多岁和50多岁人群的虚弱前和虚弱状态。身体系统表现的前脆弱可以通过一系列可变的措施来检测,并且可以从生命的第四个十年开始干预以防止进展到脆弱。
Background There is little known about pre-frailty attributes or when changes which contribute to frailty might be detectable and amenable to change. This study explores pre-frailty and frailty in independent community-dwelling adults aged 40-75 years. Methods Participants were recruited through local council networks, a national bank and one university in Adelaide, Australia. Fried frailty phenotype scores were calculated from measures of unintentional weight loss, exhaustion, low physical activity levels, poor hand grip strength and slow walking speed. Participants were identified as not frail (no phenotypes), pre-frail (one or two phenotypes) or frail (three or more phenotypes). Factor analysis was applied to binary forms of 25 published frailty measures Differences were tested in mean factor scores between the three Fried frailty phenotypes and ROC curves estimated predictive capacity of factors. Results Of 656 participants (67% female; mean age 59.9 years, SD 10.6) 59.2% were classified as not frail, 39.0% pre-frail and 1.8% frail. There were no gender or age differences. Seven frailty factors were identified, incorporating all 25 frailty measures. Factors 1 and 7 significantly predicted progression from not-frail to pre-frail (Factor 1 AUC 0.64 (95%CI 0.60-0.68, combined dynamic trunk stability and lower limb functional strength, balance, foot sensation, hearing, lean muscle mass and low BMI; Factor 7 AUC 0.55 (95%CI 0.52-0.59) comprising continence and nutrition. Factors 3 and 4 significantly predicted progression from pre-frail to frail (Factor 3 AUC 0.65 (95% CI 0.59-0.70)), combining living alone, sleep quality, depression and anxiety, and lung function; Factor 4 AUC 0.60 (95%CI 0.54-0.66) comprising perceived exertion on exercise, and falls history. Conclusions This research identified pre-frailty and frailty states in people aged in their 40s and 50s. Pre-frailty in body systems performance can be detected by a range of mutable measures, and interventions to prevent progression to frailty could be commenced from the fourth decade of life.