评估代谢健康、肥胖与抑郁症状之间的关联:基于英国老龄化纵向研究(ELSA)数据的前瞻性分析,随访时间为 2 年。

Evaluating associations between metabolic health, obesity and depressive symptoms: a prospective analysis of data from the English Longitudinal Study of Ageing (ELSA) with a 2‑year follow‑up.

机构信息

School of Pharmacy, Keele University, Keele, UK.

出版信息

BMJ Open. 2018 Dec 28;8(12):e025394. doi: 10.1136/bmjopen-2018-025394.

Abstract

OBJECTIVES

Conflicting results have been reported when the associations between metabolic health, obesity and depression were examined previously. The primary aim of this study was to determine whether metabolic health or obesity are independently associated with depressive symptoms, among a representative sample of older people living in England. Independent associations between covariates and depression were also examined.

DESIGN

Prospective study with a 2-year follow-up.

SETTING

The English Longitudinal Study of Ageing Wave 6 (2012-2013) and Wave 7 (2014-2015).

PARTICIPANTS

6804 participants aged older than 50 years.

DATA ANALYSIS

Multivariate models were used to determine whether metabolic health or obesity are independently associated with depressive symptoms at 2-year follow-up. Unadjusted and adjusted ORs with corresponding 95% CI were calculated; the adjusted ORs took account of baseline depression, gender, age, wealth, obesity and poor metabolic health.

RESULTS

Before adjusting for covariates, poor metabolic health was associated with depressive symptoms at 2-year follow-up (OR 1.24; 95% CI, 1.07 to 1.44, p<0.01). After adjusting for covariates, the association was no longer statistically significant (OR 1.17; 95% CI, 0.99 to 1.38, p=0.07). Similarly, obesity was associated with depressive symptoms at 2-year follow-up before adjusting for covariates (OR 1.54; 95% CI, 1.33 to 1.79, p<0.01). However, after adjusting for covariates the association between obesity and depressive symptoms at 2-year follow-up became statistically insignificant (OR 1.19; 95% CI, 1.00 to 1.41, p=0.06). The strongest predictors for future depression were baseline depression (OR 10.59; 95% CI, 8.90 to 12.53, p<0.01) and lower wealth (OR 3.23; 95% CI, 2.44 to 4.35, p<0.01).

CONCLUSION

Neither poor metabolic health nor obesity were associated with a risk of depressive symptoms at 2-year follow-up, after adjusting for covariates. As wealth inequalities continue to rise across England, the risk of depressive symptoms at 2-year follow-up is likely to be elevated in individuals living in the lower wealth quintiles.

摘要

目的

此前,当研究代谢健康、肥胖和抑郁之间的关联时,结果相互矛盾。本研究的主要目的是确定在英国代表性的老年人群体中,代谢健康或肥胖是否与抑郁症状独立相关。还研究了协变量与抑郁之间的独立关联。

设计

具有 2 年随访的前瞻性研究。

地点

英国老龄化纵向研究第 6 波(2012-2013 年)和第 7 波(2014-2015 年)。

参与者

6804 名年龄大于 50 岁的参与者。

数据分析

使用多变量模型来确定代谢健康或肥胖是否与 2 年后的抑郁症状独立相关。计算了未经调整和调整后的比值比(OR)及其对应的 95%置信区间;调整后的 OR 考虑了基线抑郁、性别、年龄、财富、肥胖和代谢健康不良。

结果

在未调整协变量之前,代谢健康不良与 2 年后的抑郁症状相关(OR 1.24;95%CI,1.07 至 1.44,p<0.01)。在调整协变量后,这种关联不再具有统计学意义(OR 1.17;95%CI,0.99 至 1.38,p=0.07)。同样,肥胖与 2 年后的抑郁症状相关,在调整协变量之前(OR 1.54;95%CI,1.33 至 1.79,p<0.01)。然而,在调整协变量后,肥胖与 2 年后抑郁症状之间的关联变得没有统计学意义(OR 1.19;95%CI,1.00 至 1.41,p=0.06)。未来抑郁的最强预测因素是基线抑郁(OR 10.59;95%CI,8.90 至 12.53,p<0.01)和较低的财富(OR 3.23;95%CI,2.44 至 4.35,p<0.01)。

结论

在调整协变量后,代谢健康不良或肥胖与 2 年后的抑郁症状风险无关。随着英格兰贫富差距的不断扩大,处于较低财富五分位数的个体在 2 年后出现抑郁症状的风险可能会升高。

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