Depression in multiple sclerosis across the adult lifespan.
Depression in multiple sclerosis across the adult lifespan.
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成人一生中多发性硬化症的抑郁症。
DOI：
10.1177/1352458520979304
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发表时间：
2021-10
期刊：
影响因子：
--
通讯作者：
Fitzgerald KC
中科院分区：
文献类型：
--
作者：
Chan CK;Tian F;Pimentel Maldonado D;Mowry EM;Fitzgerald KC
研究多发性硬化症（MS）患者成年年龄段的抑郁症状负担，并测试抑郁症状与MS特征之间的关系是否因年龄组而异。在MS Partners Advancing Technology and Health Solutions（MS PATHS）网络对MS成年患者的分析中，我们比较了MS PATHS与非MS对照组各年龄段的抑郁症患病率，并通过多变量调整回归模型评估了抑郁症状与临床和神经表现指标之间相关性的年龄效应修正。13，821名MS患者被纳入。抑郁症的患病率在MS中高于非MS对照，但在不同年龄的男性/女性之间相似。抑郁症与处理速度（PST;交互作用p =0.009）或步行速度（交互作用p =0.04）之间的关联因年龄而异。例如，与非抑郁的年轻参与者相比，年轻抑郁者的PST Z分数差0.45 SD（95% CI：-0.62，-0.29），而与非抑郁的老年参与者相比，老年抑郁者的PST Z分数差0.20 SD（95% CI：-0.32，-0.08）。在解释步行速度和认知功能的测量时，应考虑抑郁症状和年龄;这些发现可能对神经功能变化的分析有影响。
To examine the burden of depressive symptoms across the adult age span in people with multiple sclerosis (MS) and test if the relationship between depressive symptoms and MS characteristics vary across age groups. In analyses of the MS Partners Advancing Technology and Health Solutions (MS PATHS) network of adults with MS, we compared the prevalence of depression in MS PATHS with non-MS controls across age and evaluated for effect modification by age in the association between depressive symptoms and clinical and neuroperformance measures via multivariable-adjusted regression models. 13,821 individuals with MS were included. The prevalence of depression was higher in MS versus non-MS controls, but was similar between men/women across age. The association between depression and processing speed (PST; p for interaction=0.009) or walking speed (p for interaction=0.04) varied by age. For example, younger depressed individuals had 0.45 SD (95% CI: −0.62, −0.29) worse PST Z-scores versus non-depressed younger participants, whereas older depressed individuals had 0.20 SD (95% CI: −0.32, −0.08) worse PST Z-scores versus non-depressed older participants. Depressive symptoms and age should be considered when interpreting measures of walking speed and cognitive function; these findings may have implications for analyses of neuroperformance change.
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影响因子：
2.5
作者：
Alsaadi T;El Hammasi K;Shahrour TM;Shakra M;Turkawi L;Mudhafar A;Diab L;Raoof M
通讯作者：
Raoof M
影响因子：
6.7
作者：
Figved, N;Klevan, G;Aarsland, D
通讯作者：
Aarsland, D
影响因子：
2.3
作者：
Beal, Claudia C.;Stuifbergen, Alexa K.;Brown, Adarna
通讯作者：
Brown, Adarna
影响因子：
--
作者：
Kessler, RC;Berglund, P;Walters, EE
通讯作者：
Walters, EE
影响因子：
5.8
作者：
Marrie, R. A.;Horwitz, R.;Vollmer, T.
通讯作者：
Vollmer, T.