Background: Type 2 diabetes (T2D) is correlated to amnestic mild cognitive impairment (aMCI) and to non-amnestic mild cognitive impairment (naMCI). This study evaluated whether the T2D variable characterizes a peculiar cognitive profile in elderly patients. Moreover, it explores the association between glycated hemoglobin levels (HbA1c), T2D duration, insulin and oral hypoglycemic agent treatment, and cognition in elderly diabetic patients. Methods: Detailed neuropsychological battery was used to diagnose MCI subtypes. A total of 39 MCI subjects with T2D (T2D-MCI) and 37 MCI subjects without T2D (ND-MCI), matched for age, educational level, and Mini-Mental State Examination score, were included. Results: ND-MCI performed worse in memory and language domains than T2D-MCI. The amnestic subtype is more frequent among ND-MCI and non-amnestic subtype in T2D-MCI. In T2D-MCI, high HbA1c levels correlate with episodic memory (immediate recall) and T2D duration. Some indexes of episodic memory (immediate recall), attention, and visual-spatial ability correlate with insulin treatment. Conclusions: An association between T2D and non-amnestic MCI is suggested. In the T2D-MCI group, significant associations between insulin treatment and memory (immediate recall), complex figure copy, and attention were found.

Mild cognitive impairment is frequent among people with Parkinson’s disease. Cognitive training seems effective for cognitive status and for mitigating anxiety and depression. With the COVID-19 outbreak, such therapeutic interventions were delivered online. This longitudinal mixed-method study was aimed at evaluating the effectiveness of an online cognitive treatment, carried out during COVID times and based on Parkinson’s-Adapted Cognitive Stimulation Therapy, on cognitive domains and mood of 18 older people with Parkinson’s disease. After screening, the cognitive status and mood were assessed three times by Addenbrooke’s Cognitive Examination-Revised scale and the Geriatric Depression Scale-Short Form. At the follow-up, patients were also interviewed for understanding their experience with the technology. Such treatment was effective on the participants’ cognitive functions, but not on their mood. Despite some initial problems with the technology, the online intervention was experienced as a way of not being ‘left behind’, staying in contact with others, and being safe during the lockdown. This suggests that online cognitive treatment can be adopted to integrate face-to-face interventions by increasing their efficacy, accessibility, and long-term outcomes. Suggestions for future research are given.

This pilot project was aimed at supporting those families caring at home for loved ones suffering from Alzheimer dementia. Fourteen dyads of "caregivers-loved ones with dementia" were recruited and assigned either to the experimental group (n = 7) or to the control group (n = 7). The experimental group attended a training course, an Alzheimer Café, a self-help group for caregivers, and the support from a volunteer and professional nurse in-home visits, while the control group's dyads attended a standard intervention. To investigate the effects of this integrated and interprofessional model of care, caregivers completed the Caregiver Burden Inventory and 2 ad hoc structured questions to evaluate whether quality of life of the dyads was changed. Moreover, the caregivers of the experimental group completed the Self-Assessment Single Questionnaire, version 6 (Q-UAV6). Only caregivers of the experimental group reported a significant reduction in burden and an improved quality of life of the dyad. They also showed a greater acceptance of the disease, became experts in the care of their loved ones, and improved their relationship. The creation of a service integration network of professionals, volunteers, and families has been shown to be useful in supporting those families caring at home for loved ones suffering from Alzheimer dementia.