Badal Varsha D, Campbell Laura M, Depp Colin A, Parrish Emma M, Ackerman Robert A, Moore Raeanne C, Harvey Philip D, Pinkham Amy E
Department of Psychiatry, University of California San Diego, San Diego, CA, USA; Sam and Rose Stein Institute for Research on Aging, University of California San Diego, San Diego, CA, USA.
Department of Psychiatry, University of California San Diego, San Diego, CA, USA.
Int Psychogeriatr. 2025 Mar;37(2):100007. doi: 10.1016/j.inpsyc.2024.100007. Epub 2024 Dec 4.
Subjective cognitive complaints (SCC) are common and clinically relevant in mild cognitive impairment (MCI) but are intertwined with mood states. Using Ecological Momentary Assessment (EMA) of SCC and network analyses we sought to uncover the links between mood and SCC and how these links may vary by the presence or absence of MCI.
We used EMA to collect intensive longitudinal data. In addition to analyzing the data at an aggregate level to estimate between-person associations of affect and SCC variables, we used time series analyses to estimate contemporaneous and time-lagged relations between the variables.
EMA survey and mobile cognitive testing in subjects' natural environments.
The sample included 100 participants, 48 with Normal Cognition (NC), and 52 with MCI.
Participants completed 30-day EMA protocols in which surveys sampling SCC and moods were delivered 3 times per day.
The association between SCC (as measured by EMA) and standard in-lab measures of SCC was significant in MCI, but not in NC. Despite no average level differences in severity of SCC, there was a strong association between negative affect (as measured by EMA) with SCC in NCs compared to MCI.
EMA maybe a useful and valid approach to measuring SCCs in MCI. Network analyses indicated that negative affect was linked with later SCCs. This finding was strong in persons with NC than in persons with MCI. The basis of the attenuated association between negative affect and SCCs in MCI deserves further study.
主观认知抱怨（SCC）在轻度认知障碍（MCI）中很常见且具有临床相关性，但与情绪状态相互交织。我们通过对SCC进行生态瞬时评估（EMA）和网络分析，试图揭示情绪与SCC之间的联系，以及这些联系如何因MCI的存在与否而有所不同。
我们使用EMA收集密集的纵向数据。除了在总体水平上分析数据以估计情感与SCC变量之间的个体间关联外，我们还使用时间序列分析来估计变量之间的同期和时间滞后关系。
在受试者的自然环境中进行EMA调查和移动认知测试。
样本包括100名参与者，48名认知正常（NC），52名患有MCI。
参与者完成了30天的EMA方案，其中每天进行3次抽样调查SCC和情绪。
在MCI中，通过EMA测量的SCC与标准实验室SCC测量值之间的关联显著，但在NC中不显著。尽管SCC严重程度的平均水平没有差异，但与MCI相比，NC中消极情绪（通过EMA测量）与SCC之间存在很强的关联。
EMA可能是一种测量MCI中SCC的有用且有效的方法。网络分析表明，消极情绪与随后的SCC相关。这一发现在NC患者中比在MCI患者中更强。MCI中消极情绪与SCC之间关联减弱的基础值得进一步研究。
