Erwin Stolz, Anna Schultz, Emiel O Hoogendijk, Olga Theou, Kenneth Rockwood
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We calculated the intraindividual standard deviation (iSD) of the FI and used location-scale mixed regression models.</p><p><strong>Results: </strong>Mean iSD was 0.04 (SD=0.03). Fluctuations were driven foremost by cognitive problems, somatic symptoms, and limitations in instrumental and mobility-related activities of daily living. Short-term fluctuations correlated with higher FI levels (r=0.62), one-year FI change (r=0.26), and older age (+3% per year). Older adults who took to bed due to a health problem (+50%), those who had an overnight hospital stay (+50%), and those who died during follow-up (+44%) exhibited more FI fluctuations.</p><p><strong>Conclusions: </strong>Short-term FI fluctuations were neither small nor random. Instead, as older adults become frailer, their measured health also becomes more unstable; hence short-term fluctuations in overall health status can be seen as a concomitant phenomenon of the aging process. Researchers and clinicians should be aware of existence of reversible fluctuations in the FI over weeks and months and its consequences for frailty monitoring.</p>","PeriodicalId":94243,"journal":{"name":"The journals of gerontology. Series A, Biological sciences and medical sciences","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Short-term frailty index fluctuations in older adults: Noise or signal?\",\"authors\":\"Erwin Stolz, Anna Schultz, Emiel O Hoogendijk, Olga Theou, Kenneth Rockwood\",\"doi\":\"10.1093/gerona/glae262\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Reversible short-term fluctuations in the frailty index (FI) are often thought of as representing only noise or error. 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Short-term fluctuations correlated with higher FI levels (r=0.62), one-year FI change (r=0.26), and older age (+3% per year). Older adults who took to bed due to a health problem (+50%), those who had an overnight hospital stay (+50%), and those who died during follow-up (+44%) exhibited more FI fluctuations.</p><p><strong>Conclusions: </strong>Short-term FI fluctuations were neither small nor random. Instead, as older adults become frailer, their measured health also becomes more unstable; hence short-term fluctuations in overall health status can be seen as a concomitant phenomenon of the aging process. Researchers and clinicians should be aware of existence of reversible fluctuations in the FI over weeks and months and its consequences for frailty monitoring.</p>\",\"PeriodicalId\":94243,\"journal\":{\"name\":\"The journals of gerontology. 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引用次数: 0
摘要
背景:人们通常认为虚弱指数(FI)的可逆短期波动仅代表噪音或误差。在此,我们将评估:(1) 短期虚弱指数波动的大小和来源;(2) 不同社会人口统计学之间的差异;(3) 与慢性疾病的关联;(4) 与年龄、虚弱程度、虚弱变化和死亡率的相关性;(5) 波动是否反映了离散的健康转变:晚年健康评估(FRAIL70+)研究采用测量突发设计(5122 次重复观察,中位数为每人 13 次重复观察),收集了来自 426 名社区老年人(70 岁以上)的全国性双周纵向数据。我们计算了 FI 的个体内标准偏差 (iSD),并使用了位置尺度混合回归模型:平均 iSD 为 0.04(SD=0.03)。波动的主要原因是认知问题、躯体症状以及工具性和活动性日常生活活动的限制。短期波动与较高的 FI 水平(r=0.62)、一年的 FI 变化(r=0.26)和年龄(每年 +3%)相关。因健康问题而卧床的老年人(+50%)、住院过夜的老年人(+50%)以及在随访期间死亡的老年人(+44%)的FI波动更大:短期 FI 波动既不小,也不是随机的。因此,整体健康状态的短期波动可被视为衰老过程中的一种伴随现象。研究人员和临床医生应该意识到 FI 在数周或数月内的可逆波动及其对虚弱监测的影响。
Short-term frailty index fluctuations in older adults: Noise or signal?
Background: Reversible short-term fluctuations in the frailty index (FI) are often thought of as representing only noise or error. Here, we assess (1) size and source of short-term FI fluctuations, (2) variation across socio-demographics, (3) association with chronic diseases, (4) correlation with age, frailty level, frailty change, and mortality, and (5) whether fluctuations reflect discrete health transitions.
Methods: Nationwide, biweekly longitudinal data from 426 community-dwelling older adults (70+) were collected in the FRequent health Assessment In Later life (FRAIL70+) study using a measurement burst design (5,122 repeated observations, median of 13 repeated observations per person). We calculated the intraindividual standard deviation (iSD) of the FI and used location-scale mixed regression models.
Results: Mean iSD was 0.04 (SD=0.03). Fluctuations were driven foremost by cognitive problems, somatic symptoms, and limitations in instrumental and mobility-related activities of daily living. Short-term fluctuations correlated with higher FI levels (r=0.62), one-year FI change (r=0.26), and older age (+3% per year). Older adults who took to bed due to a health problem (+50%), those who had an overnight hospital stay (+50%), and those who died during follow-up (+44%) exhibited more FI fluctuations.
Conclusions: Short-term FI fluctuations were neither small nor random. Instead, as older adults become frailer, their measured health also becomes more unstable; hence short-term fluctuations in overall health status can be seen as a concomitant phenomenon of the aging process. Researchers and clinicians should be aware of existence of reversible fluctuations in the FI over weeks and months and its consequences for frailty monitoring.