Inserm,U1061,Montpellier,F-34093,France.
Inserm, ISPED, Centre Inserm U897-Epidemiologie-Biostatistique,Bordeaux,F-33000,France.
Epidemiol Psychiatr Sci. 2017 Apr;26(2):146-156. doi: 10.1017/S2045796015001122. Epub 2016 Jan 15.
In elderly general population sub-syndromal clinically significant levels of depressive symptoms are highly prevalent and associated with high co-morbidity and increased mortality risk. However changes in depressive symptoms over time and etiologic factors have been difficult to characterise notably due to methodological shortcomings. Our objective was to differentiate trajectories of depressive symptoms over 10 years in community-dwelling elderly men and women using statistical modelling methods which take into account intra-subject correlation and individual differences as well as to examine current and life-time risk factors associated with different trajectories.
Participants aged 65 and over were administered standardised questionnaires and underwent clinical examinations at baseline and after 2, 4, 7 and 10 years. Trajectories over time of the Center for Epidemiologic Studies Depression scores were modelled in 517 men and 736 women separately with latent class mixed models which include both a linear mixed model to describe latent classes of trajectories and a multinomial logistic model to characterise the latent trajectories according to baseline covariates (socio-demographic, lifestyle, clinical, genetic characteristics and stressful life events).
In both genders two different profiles of symptom changes were observed over the 10-year follow-up. For 9.1% of men and 25% of women a high depressive symptom trajectory was found with a trend toward worsening in men. The majority of the remaining men and women showed decreasing symptomatology over time, falling from clinically significant to very low levels of depressive symptoms. In large multivariate class membership models, mobility limitations [odds ratio (OR) = 4.5, 95% confidence interval (CI) 1.6-12.9 and OR = 4.9, 95% CI 2.3-10.7, in men and women respectively], ischemic pathologies (OR = 2.9, 95% CI 1.0-8.3 and OR = 3.1, 95% CI 1.0-9.9), and recent stressful events (OR = 4.5, 95% CI 1.1-18.5, OR = 3.2, 95% CI 1.6-6.2) were associated with a poor symptom course in both gender as well as diabetes in men (OR = 3.5, 95% CI 1.1-10.9) and childhood traumatic experiences in women (OR = 3.1, 95% CI 1.6-5.8).
This prospective study was able to differentiate patterns of chronic and remitting depressive symptoms in elderly people with distinct symptom courses and risk factors for men and women. These findings may inform prevention programmes designed to reduce the chronic course of depressive symptomatology.
在老年人群中,亚临床显著水平的抑郁症状非常普遍,与高共病率和增加的死亡风险相关。然而,由于方法学上的缺陷,抑郁症状随时间的变化和病因因素一直难以描述。我们的目的是使用统计建模方法区分社区居住的老年男女中抑郁症状的轨迹,这些方法考虑了个体内相关性和个体差异,并检查与不同轨迹相关的当前和终生风险因素。
年龄在 65 岁及以上的参与者在基线和 2、4、7 和 10 年后接受了标准化问卷和临床检查。使用潜在类别混合模型分别对 517 名男性和 736 名女性的中心流行病学研究抑郁评分的时间轨迹进行建模,该模型包括描述轨迹的潜在类别线性混合模型和根据基线协变量(社会人口统计学、生活方式、临床、遗传特征和压力性生活事件)描述潜在轨迹的多项逻辑回归模型。
在两性中,都观察到了 10 年随访期间症状变化的两种不同模式。9.1%的男性和 25%的女性出现了较高的抑郁症状轨迹,男性的趋势是恶化。其余大多数男性和女性的症状随时间逐渐减轻,从临床显著水平降至非常低的抑郁症状水平。在大型多变量分类成员模型中,行动能力受限[优势比(OR)=4.5,95%置信区间(CI)1.6-12.9 和 OR = 4.9,95%CI 2.3-10.7,在男性和女性中]、缺血性病理(OR = 2.9,95%CI 1.0-8.3 和 OR = 3.1,95%CI 1.0-9.9)和近期压力事件(OR = 4.5,95%CI 1.1-18.5,OR = 3.2,95%CI 1.6-6.2)与两性中较差的症状过程以及男性中的糖尿病(OR = 3.5,95%CI 1.1-10.9)和女性中的儿童期创伤经历(OR = 3.1,95%CI 1.6-5.8)相关。
这项前瞻性研究能够区分具有不同症状过程和男女风险因素的老年人慢性和缓解性抑郁症状模式。这些发现可能为旨在减少抑郁症状慢性病程的预防计划提供信息。