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7 年以上老年女性健康相关生活质量变化模式的预测因素:来自前瞻性队列研究的证据。

Predictors of patterns of change in health-related quality of life in older women over 7 years: evidence from a prospective cohort study.

机构信息

Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

出版信息

Age Ageing. 2013 May;42(3):312-8. doi: 10.1093/ageing/aft029. Epub 2013 Mar 28.

Abstract

BACKGROUND

the evaluation of the determinants of change over time in health-related quality of life (HR-QoL) in older people is limited. This study aims to identify patterns of change in HR-QoL over 7 years and their determinants using data from the British Women's Heart and Health Study, a representative sample of older women (n = 4286).

METHODS

longitudinal latent class analysis was used to identify subpopulations of women with similar HR-QoL trajectories from 1999-2000 to 2007. HR-QoL was measured using the EQ-5D. Multivariate multinomial logistic regression was used to model the association of identified trajectories with baseline predictors after multiple imputation of missing data.

RESULTS

four distinct EQ-5D trajectories were suggested: high (19% of women), high decline (22%), intermediate (42%) and low decline (16%). Prevalent arthritis (OR = 13.4; 95% CI: 8.8, 20.5), diabetes (OR = 4.6; 95% CI: 1.5, 14.2) and obesity (OR = 3.9; 95% CI: 2.5, 6.0) were the strongest predicting health conditions of adverse changes in HR-QoL and physical activity the strongest predicting lifestyle factor (OR = 2.8; 95% CI: 2.0, 3.9).

CONCLUSIONS

findings suggest that older women without obesity or pre-existing health conditions who undertake more physical activity are more likely to experience high HR-QoL, reinforcing the importance of these factors for healthy ageing.

摘要

背景

对于老年人健康相关生活质量(HR-QoL)随时间变化的决定因素的评估有限。本研究旨在使用英国女性心脏和健康研究的数据(n=4286),确定 7 年内 HR-QoL 的变化模式及其决定因素,该研究是老年女性的代表性样本。

方法

使用纵向潜在类别分析来确定从 1999-2000 年到 2007 年具有相似 HR-QoL 轨迹的女性亚群。使用 EQ-5D 测量 HR-QoL。使用多元多项逻辑回归对缺失数据进行多次插补后,对确定轨迹与基线预测因子之间的关联进行建模。

结果

建议了四种不同的 EQ-5D 轨迹:高(19%的女性)、高下降(22%)、中等(42%)和低下降(16%)。常见的关节炎(OR=13.4;95%CI:8.8,20.5)、糖尿病(OR=4.6;95%CI:1.5,14.2)和肥胖(OR=3.9;95%CI:2.5,6.0)是预测 HR-QoL 不良变化的最强预测健康状况,而体力活动是预测生活方式因素的最强预测因素(OR=2.8;95%CI:2.0,3.9)。

结论

研究结果表明,没有肥胖或现有健康状况且进行更多体力活动的老年女性更有可能体验到高 HR-QoL,这进一步强调了这些因素对健康老龄化的重要性。

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