School of Public Health, Fudan University, PO Box 248, 138 Yixueyuan Road, Shanghai, 200032, China.
Songjiang Center of Disease Prevention and Control, Shanghai, 201620, China.
BMC Geriatr. 2020 Apr 10;20(1):130. doi: 10.1186/s12877-020-01530-x.
It is important to clarify the transitions and related factors of frailty for prevention of frailty. We evaluated the transitions of frailty among community-dwelling older adults and examined the predictors of the transitions.
A cohort study was conducted among 3988 community residents aged ≥60 years during 2015 and 2017. A multiple deficits approach was used to construct the Frailty Index (FI) according to the methodology of FI construction, and sociodemographic characteristics and lifestyles were also collected in 2015. After 2-year follow-up, the transitions of frailty between baseline and were evaluated. Multinomial logistic regressions were used to examine associations between predictors and the transitions of frailty.
The proportion of robust, prefrail, and frail was 79.5, 16.4, and 4.1% among 3988 participants at baseline, which changed to 68.2, 23.0, and 8.8% after 2 years with 127 deaths and 23 dropped out. Twelve kinds of transitions from the three frailty statuses at baseline to four outcomes at follow-up (including death) significantly differed within each of gender and age group, as well between genders and age groups. Among these, 7.8% of prefrail or frail elders improved, 70.0% retained their frailty status, and 22.2% of robust or prefrail elders worsened in frailty status. In multivariable models, age was significantly associated with changes in frailty except for in the frail group; higher educational level and working predicted a lower risk of robust worsening. Of the lifestyle predictors, no shower facilities at home predicted a higher risk of robust worsening; more frequent physical exercise predicted a lower risk of robust worsening and a higher chance of frailty improvement; more frequent neighbor interaction predicted a lower risk of robust worsening and prefrail worsening; and more frequent social participation predicted a higher chance of prefrail improvement.
The status of frailty was reversible among community-dwelling elderly, and sociodemographic and lifestyle factors were related to changes in frailty. These findings help health practitioners to recognize susceptible individuals in a community and provide health promotional planning to target aged populations.
明确衰弱的转变及其相关因素对于预防衰弱至关重要。我们评估了社区居住的老年人中衰弱的转变,并探讨了转变的预测因素。
2015 年至 2017 年期间对 3988 名年龄≥60 岁的社区居民进行了一项队列研究。根据衰弱指数(FI)构建方法,采用多种缺陷方法构建 FI,并在 2015 年收集社会人口统计学特征和生活方式。在 2 年随访后,评估了基线和之间的衰弱转变。采用多项逻辑回归分析来探讨预测因素与衰弱转变之间的关系。
3988 名参与者在基线时的健壮、衰弱前期和衰弱的比例分别为 79.5%、16.4%和 4.1%,两年后分别为 68.2%、23.0%和 8.8%,其中有 127 人死亡,23 人失访。在基线的三种衰弱状态与随访时的四种结局(包括死亡)之间的 12 种转变在每个性别和年龄组内以及性别和年龄组之间均存在显著差异。其中,7.8%的衰弱前期或衰弱老年人状况改善,70.0%的衰弱老年人保持其衰弱状态,22.2%的健壮或衰弱前期老年人衰弱状况恶化。在多变量模型中,年龄与衰弱的变化显著相关,除了衰弱组外;较高的教育水平和工作预测健壮状况恶化的风险较低。在生活方式预测因素中,家中没有淋浴设施预测健壮状况恶化的风险较高;更频繁的体育锻炼预测健壮状况恶化和衰弱改善的机会较低;更频繁的邻里互动预测健壮状况恶化和衰弱前期恶化的风险较低;更频繁的社会参与预测衰弱前期改善的机会较高。
社区居住的老年人中衰弱状态是可逆的,社会人口统计学和生活方式因素与衰弱的变化有关。这些发现有助于医疗保健从业者识别社区中易受影响的个体,并为目标人群提供健康促进规划。