Specific depression dimensions are associated with a faster rate of cognitive decline in older adults

Soleimani, Laili; Beeri, Michal Schnaider; Grossman, Hillel; Sano, Mary; Zhu, Carolyn W.

doi:10.1002/dad2.12268

Cited by 3 publications

(3 citation statements)

References 53 publications

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“…Interestingly, within the dysphoric mood category, the item "empty" was identified. However, patients with mild cognitive impairment experiencing "emptiness" did not exhibit significant long-term cognitive decline, in contrast to the "worthlessness" dimension, which showed a faster rate of cognitive decline [23]. Furthermore, another study involving 2000 individuals found a 37% increase in the risk of developing Alzheimer's disease in the elderly who have the dimension of worthlessness of depressive symptoms [24].…”

Section: Discussionmentioning

confidence: 97%

Network Structure of Depressive Symptomatology in Elderly with Cognitive Impairment

Pyo,

Lee,

Lee

et al. 2024

Medicina

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Objective and objectives: Patients with cognitive disorders such as Alzheimer’s disease (AD) and mild cognitive impairment (MCI) frequently exhibit depressive symptoms. Depressive symptoms can be evaluated with various measures and questionnaires. The geriatric depression scale (GDS) is a scale that can be used to measure symptoms in geriatric age. Many questionnaires sum up symptom scales. However, core symptoms of depression in these patients and connections between these symptoms have not been fully explored yet. Thus, the objectives of this study were (1) to determine core symptoms of two cognitive disorders, Alzheimer’s disease and mild cognitive impairment, and (2) to investigate the network structure of depressive symptomatology in individuals with cognitive impairment in comparison with those with Alzheimer’s disease. Materials and Methods: This study encompassed 5354 patients with cognitive impairments such as Alzheimer’s disease (n = 1889) and mild cognitive impairment (n = 3464). The geriatric depression scale, a self-administered questionnaire, was employed to assess depressive symptomatology. Using exploratory graph analysis (EGA), a network analysis was conducted, and the network structure was evaluated through regularized partial correlation models. To determine the centrality of depressive symptoms within each cohort, network parameters such as strength, betweenness, and closeness were examined. Additionally, to explore differences in the network structure between Alzheimer’s disease and mild cognitive impairment groups, a network comparison test was performed. Results: In the analysis of centrality indices, “worthlessness” was identified as the most central symptom in the geriatric depression scale among patients with Alzheimer’s disease, whereas “emptiness” was found to be the most central symptom in patients with mild cognitive impairment. Despite these differences in central symptoms, the comparative analysis showed no statistical difference in the overall network structure between Alzheimer’s disease and mild cognitive impairment groups. Conclusions: Findings of this study could contribute to a better understanding of the manifestation of depressive symptoms in patients with cognitive impairment. These results are expected to aid in identifying and prioritizing core symptoms in these patients. Further research should be conducted to explore potential interventions tailored to these core symptoms in patients with Alzheimer’s disease and mild cognitive impairment. Establishing core symptoms in those groups might have clinical importance in that appropriate treatment for neuropsychiatric symptoms in patients with cognitive impairment could help preclude progression to further impairment.

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Section: Discussionmentioning

confidence: 97%

Network Structure of Depressive Symptomatology in Elderly with Cognitive Impairment

Pyo,

Lee,

Lee

et al. 2024

Medicina

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“…The depression dimension scores were calculated for dysphoria, withdrawal‐apathy‐vigor (WAV), anxiety, hopelessness, and subjective memory complaint based on the mean of itemized Geriatric Depression Scale—15 item (GDS‐15) 4 , 5 for each dimension. The resulting score ranged from 0 to 1, with 0 indicating the absence of any symptom and 1 indicating the presence of all symptoms.…”

Section: Methodsmentioning

confidence: 99%

“…Leveraging large datasets with extensive cognitive information, our previous research has demonstrated that specific depression dimensions derived from the Geriatric Depression Scale (GDS‐15), including dysphoria, apathy, anxiety, helplessness, and subjective memory complaint, are associated with cognitive decline. 4 , 5 However, the use of questionnaires to define these dimensions is constrained by subjectivity and limited reliability of participants and informants. 1 …”

Section: Introductionmentioning

confidence: 99%

Speech markers of depression dimensions across cognitive status

Soleimani,

Ouyang,

Cho

et al. 2024

Alz & Dem Diag Ass & Dis Mo

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IntroductionDepression and its components significantly impact dementia prediction and severity, necessitating reliable objective measures for quantification.MethodsWe investigated associations between emotion‐based speech measures (valence, arousal, and dominance) during picture descriptions and depression dimensions derived from the geriatric depression scale (GDS, dysphoria, withdrawal‐apathy‐vigor (WAV), anxiety, hopelessness, and subjective memory complaint).ResultsHigher WAV was associated with more negative valence (estimate = ‐0.133, p = 0.030). While interactions of apolipoprotein E (APOE) 4 status with depression dimensions on emotional valence did not reach significance, there was a trend for more negative valence with higher dysphoria in those with at least one APOE4 allele (estimate = –0.404, p = 0.0846). Associations were similar irrespective of dementia severity.DiscussionOur study underscores the potential utility of speech biomarkers in characterizing depression dimensions. In future research, using emotionally charged stimuli may enhance emotional measure elicitation. The role of APOE on the interaction of speech markers and depression dimensions warrants further exploration with greater sample sizes.Highlights Participants reporting higher apathy used more negative words to describe a neutral picture. Those with higher dysphoria and at least one APOE4 allele also tended to use more negative words. Our results suggest the potential use of speech biomarkers in characterizing depression dimensions.

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Exercise Telehealth in Rural-Dwelling Adults with Subjective Cognitive Decline: The MN RIDE Pilot Study

Salisbury,

Warry,

Soderlund

et al. 2024

Journal of Clinical Exercise Physiology

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Background The subjective cognitive decline (SCD) state offers a therapeutic window where interventions, such as aerobic exercise (AEx), have strong potential to delay the progression to Alzheimer’s disease and related dementias (ADRDs). Rural communities have greater barriers in participating in exercise and are at a higher risk of developing ADRDs than urban dwellers. The purpose of this pilot study was to evaluate the preliminary effectiveness of a synchronous AEx telerehabilitation program in persons with SCD living in rural areas. Methods The MN RIDE Study used a single-group, pretest-posttest design. All AEx sessions were supervised remotely via smart devices and Zoom by clinical exercise physiologists. The moderate-intensity AEx program was performed 3 times per week for 3 months (36 sessions). Outcomes assessed in participants’ places of residence included ADRD risk factors (depression [Geriatric Depression Scale]), cardiorespiratory fitness (1-min heart rate recovery from YMCA Step Test), and quality of life (WHOQOL). Paired t tests were performed, and effect sizes (Cohen’s d) were determined. Results The average age of the study sample (n = 9) was 57.4 ± 7.2 years (average age of SCD onset of 53.4 ± 7.5 years) with 14.0 ± 5.6 years of education; 78% of the participants were female. Moderate effect sizes were observed for the Geriatric Depression Scale (d = −0.65 [−1.39, 0.14]). Large effect sizes were observed for cardiorespiratory fitness (d = 0.73 [−15.49, 41.99]) and domain 1 on WHOQOL (d = 1.35 [−0.44, 1.82]). Conclusions Our study provides preliminary effectiveness and effect sizes regarding AEx telerehabilitation in persons with SCD living in underserved rural communities.

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Specific depression dimensions are associated with a faster rate of cognitive decline in older adults

Cited by 3 publications

References 53 publications

Network Structure of Depressive Symptomatology in Elderly with Cognitive Impairment

Network Structure of Depressive Symptomatology in Elderly with Cognitive Impairment

Speech markers of depression dimensions across cognitive status

Exercise Telehealth in Rural-Dwelling Adults with Subjective Cognitive Decline: The MN RIDE Pilot Study

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