Quispe-Haro Consuelo, Court Tatyana, Kozela Magdalena, Tamosiunas Abdonas, Capkova Nadezda, Pikhart Hynek, Bobák Martin
RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic.
Department of Epidemiology and Population Studies, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Kraków, Poland.
Arch Public Health. 2025 Jul 1;83(1):170. doi: 10.1186/s13690-025-01660-x.
Population studies that assess lung function usually exclude results of individuals with poor-quality measurements, which often means excluding many subjects. Impaired cognition is frequently associated with poor-quality spirometry; excluding such subjects may introduce a selection bias in studies with lung function as either outcome or exposure. We investigated the association between poor-quality spirometry and impaired cognitive function and whether poor-quality spirometry is associated with future mortality risk independently of cognitive function.
We used data from a prospective cohort in three Central and Eastern European countries; 12,087 individuals aged 45-75 years (54% females) with complete information on variables of interest were included. Standard memory, verbal fluency, and executive cognitive domain tests were converted into latent variable z-scores and divided into quartiles. Spirometry tests were classified into two categories based on repeatability criteria: good- (71%) vs. poor-quality spirometry (29% of participants). Those with good-quality spirometry were further classified, using forced vital capacity (FVC) and forced expiratory volume in the first second (FEV), as healthy spirometry (63%) or impaired spirometry (8%). Multinomial logistic regression was used to assess the association between poor-quality spirometry and cognitive function, and a Cox proportional regression was used to analyze the risk of total mortality over a 17-year follow-up.
After controlling for a range of covariates, higher cognitive function predicted lower odds of poor-quality spirometry. In the highest cognitive function quartile, compared with the lowest quartile, the odds ratio of poor-quality spirometry was 0.82 (95%CI: 0.72-0.92). Impaired spirometry was associated with higher mortality risk even after adjusting for cognition (adjusted hazard ratio 1.63, 95%CI: 1.45-1.84), but mortality risk was similar in subjects with poor- vs. good-quality (HR 1.02, 95%CI: 0.93-1.10).
Higher cognitive function was associated with a lower risk of poor-quality spirometry. The lack of independent association of poor-quality spirometry with mortality suggests that excluding poor-quality spirometry measurements from analyses is unlikely to introduce a major bias. However, discarding poor-quality spirometry from epidemiological analyses might imply the exclusion of vulnerable subjects. These findings should be confirmed in future studies representing other populations.
评估肺功能的人群研究通常会排除测量质量较差个体的结果,这往往意味着要排除许多受试者。认知功能受损常与肺活量测定质量差相关;排除此类受试者可能会在以肺功能为结局或暴露因素的研究中引入选择偏倚。我们调查了肺活量测定质量差与认知功能受损之间的关联,以及肺活量测定质量差是否独立于认知功能与未来死亡风险相关。
我们使用了来自中欧和东欧三个国家的前瞻性队列数据;纳入了12087名年龄在45 - 75岁之间(54%为女性)且有关感兴趣变量的完整信息的个体。将标准记忆、语言流畅性和执行认知领域测试转换为潜在变量z分数,并分为四分位数。肺活量测定测试根据重复性标准分为两类:高质量(71%)与低质量肺活量测定(29%的参与者)。对于高质量肺活量测定者,使用用力肺活量(FVC)和第一秒用力呼气量(FEV)进一步分类为健康肺活量测定(63%)或受损肺活量测定(8%)。使用多项逻辑回归评估低质量肺活量测定与认知功能之间的关联,并使用Cox比例回归分析17年随访期间的全因死亡风险。
在控制了一系列协变量后,较高的认知功能预示着低质量肺活量测定的几率较低。在认知功能最高的四分位数中,与最低四分位数相比,低质量肺活量测定的比值比为0.82(95%置信区间:0.72 - 0.92)。即使在调整了认知因素后,受损肺活量测定仍与较高的死亡风险相关(调整后的风险比为1.63,95%置信区间:1.45 - 1.84),但低质量与高质量肺活量测定的受试者的死亡风险相似(风险比为1.02,95%置信区间:0.93 - 1.10)。
较高的认知功能与低质量肺活量测定的风险较低相关。低质量肺活量测定与死亡率缺乏独立关联表明,在分析中排除低质量肺活量测定结果不太可能引入重大偏倚。然而,在流行病学分析中舍弃低质量肺活量测定结果可能意味着排除了易受影响的受试者。这些发现应在代表其他人群的未来研究中得到证实。