Xu Jie, Chen Meng, Cui Jiaming, Luo Xiaobing
Department of Sports Medicine, Sichuan Provincial Orthopedics Hospital, Chengdu, China.
Department of Emergency Medicine, Nanchong Hospital of Traditional Chinese Medicine, Nanchong, China.
Sci Rep. 2025 May 22;15(1):17857. doi: 10.1038/s41598-025-02455-4.
This study utilized NHANES data from 2007 to 2018 to investigate the correlation between frailty and the Conicity Index (CI) in individuals aged 60 and above in the United States. The study used NHANES data from 2007 to 2018.CI was calculated as CI = wc / [0.109 × sqrt(bw / Height)]. Frailty was assessed by the frailty index (≥ 0.25). Weighted multivariate logistic regression analysis, subgroup analyses, and interaction tests were used to investigate the connection between CI and the prevalence of frailty. Generalized additive modeling (GAM) was employed to address any non-linear patterns, and the predictive capability of CI for frailty was evaluated by receiver operating characteristic (ROC) analysis. With a 69% rise in the prevalence of frailty for every 0.1 unit increase in the fully adjusted model, the results demonstrated a strong and positive relationship between CI and frailty prevalence (OR: 1.69, 95% CI: 1.53,1.86; P < 0.001). When CI was categorized, the group with the highest CI had a significantly higher prevalence of frailty than the group with the lowest CI (OR = 2.79, 95% CI: 2.22,3.51; P < 0.001). The association between CI and prevalence of frailty was significant in all subgroups. In addition, statistically significant interactions were present in most subgroups. When the CI > reached 1.35, the GAM model demonstrated a threshold effect and a significant nonlinear connection, with a 105% rise in the prevalence of frailty for every 0.1 unit increase in CI. In the male group, CI was a significantly greater indicator of the prevalence of frailty than both BMI and WC. According to this study, frailty in older persons is substantially correlated with a higher CI. Although greater confirmation in large-scale prospective research is required, this study indicates that increased CI is a more reliable predictor of the prevalence of frailty in older men and is significantly linked with its occurrence.
本研究利用2007年至2018年的美国国家健康与营养检查调查（NHANES）数据，调查美国60岁及以上人群中衰弱与锥度指数（CI）之间的相关性。该研究使用了2007年至2018年的NHANES数据。CI的计算方法为CI = wc / [0.109×sqrt(bw / 身高)]。通过衰弱指数（≥0.25）评估衰弱情况。采用加权多变量逻辑回归分析、亚组分析和交互作用检验来研究CI与衰弱患病率之间的联系。运用广义相加模型（GAM）来处理任何非线性模式，并通过受试者工作特征（ROC）分析评估CI对衰弱的预测能力。在完全调整模型中，CI每增加0.1个单位，衰弱患病率上升69%，结果表明CI与衰弱患病率之间存在强正相关关系（比值比：1.69，95%置信区间：1.53，1.86；P < 0.001）。当对CI进行分类时，CI最高的组衰弱患病率显著高于CI最低的组（比值比 = 2.79，95%置信区间：2.22，3.51；P < 0.001）。CI与衰弱患病率之间的关联在所有亚组中均显著。此外，大多数亚组中存在具有统计学意义的交互作用。当CI > 达到1.35时，GAM模型显示出阈值效应和显著的非线性联系，CI每增加0.1个单位，衰弱患病率上升105%。在男性组中，CI是比体重指数（BMI）和腰围（WC）更显著的衰弱患病率指标。根据本研究，老年人的衰弱与较高的CI密切相关。尽管需要大规模前瞻性研究的进一步证实，但本研究表明，CI升高是老年男性衰弱患病率更可靠的预测指标，且与衰弱的发生显著相关。
