Huang Jian, Gui Ying, Wu Jing, Xie Yubo
Clinical Laboratory Center, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Department of Anesthesiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Front Med (Lausanne). 2024 Jul 12;11:1344217. doi: 10.3389/fmed.2024.1344217. eCollection 2024.
The relationship between socioeconomic status and frailty has been extensively investigated in the literature, but it remains unclear whether a causal relationship exists. Our goal is to evaluate the causal relationship between six socioeconomic traits and the frailty index using summary-level data for single nucleotide polymorphisms from large genome-wide association studies with individuals of European ancestry.
A two-sample MR was performed. We applied the inverse variance weighted (IVW) method for the primary estimate, with sensitivity analyses conducted using alternative MR methods to evaluate the robustness of the findings. A subsequent multivariable MR was undertaken to adjust for the effects of body mass index (BMI). Finally, the MR Steiger directionality test was performed to confirm the causal direction.
The IVW MR analysis revealed significant associations between various socioeconomic factors and the frailty index. Specifically, genetically predicated age completed full time education (β = -0.477, 95% confidence interval [CI]: -0.634 to -0.319) and average total household income before tax (β = -0.321, 95% CI: -0.410 to -0.232) were negatively associated with the frailty index. On the other hand, genetically predicted job involves heavy manual or physical work (β = 0.298, 95% CI: 0.113 to 0.484), job involves mainly walking or standing (β = 0.179, 95% CI: 0.013 to 0.345), Townsend deprivation index at recruitment (β = 0.535, 95% CI: 0.285 to 0.785), and social isolation/loneliness (β = 1.344, 95% CI: 0.834 to 1.853) were positively associated with the frailty index. Sensitivity analysis using other MR methods and multivariable MR analysis adjusting for BMI yielded stable results. The MR Steiger directionality test confirmed the causal direction.
Our findings highlight the importance of socioeconomic factors in affecting frailty risk. Future research should focus on unraveling the pathways through which these socioeconomic factors exert their effects on frailty, with the ultimate goal of developing targeted strategies to mitigate the risk of frailty.
社会经济地位与衰弱之间的关系在文献中已得到广泛研究,但因果关系是否存在仍不明确。我们的目标是使用来自针对欧洲血统个体的大型全基因组关联研究的单核苷酸多态性汇总水平数据,评估六种社会经济特征与衰弱指数之间的因果关系。
进行了两样本孟德尔随机化分析。我们应用逆方差加权(IVW)方法进行主要估计,并使用替代孟德尔随机化方法进行敏感性分析,以评估研究结果的稳健性。随后进行多变量孟德尔随机化分析,以调整体重指数(BMI)的影响。最后,进行孟德尔随机化Steiger方向性检验以确认因果方向。
IVW孟德尔随机化分析揭示了各种社会经济因素与衰弱指数之间的显著关联。具体而言,基因预测的完成全日制教育的年龄(β = -0.477,95%置信区间[CI]:-0.634至-0.319)和税前家庭平均总收入(β = -0.321,95%CI:-0.410至-0.232)与衰弱指数呈负相关。另一方面,基因预测的工作涉及重体力或体力劳动(β = 0.298,95%CI:0.113至0.484)、工作主要涉及行走或站立(β = 0.179,95%CI:0.013至0.345)、招募时的汤森德贫困指数(β = 0.535,95%CI:0.285至0.785)以及社会隔离/孤独感(β = 1.344,95%CI:0.834至1.853)与衰弱指数呈正相关。使用其他孟德尔随机化方法的敏感性分析和调整BMI的多变量孟德尔随机化分析产生了稳定的结果。孟德尔随机化Steiger方向性检验确认了因果方向。
我们的研究结果突出了社会经济因素在影响衰弱风险方面的重要性。未来的研究应侧重于阐明这些社会经济因素对衰弱产生影响的途径,最终目标是制定有针对性的策略来降低衰弱风险。