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Background and Objectives: For persons with dementia, the relationships between caregiver burden, physical frailty, race, behavioral and psychological symptoms (BPSD), and other associated variables are poorly understood. Only one prior study examined the relationships among these variables but did not include race, which is an important social determinant of health outcomes in the United States. To examine these interactions, we conducted a cross-sectional exploratory study based on a model by Sugimoto and colleagues. Materials and Methods: The sample comprised 85 patient–caregiver dyads (58% White) seen in four centers in diverse regions of New York State. All patients met DSM5 criteria for a major neurocognitive disorder, had a Clinical Dementia Rating sum score of ≥3, and Mini-Mental State Examination (MMSE) score of 10 to 26. Other measures included the SHARE-Frailty Instrument(FI), the Neuropsychiatric Inventory (NPI) to assess BPSD, Zarit’s Caregiver Burden Interview (CBI), Lawton’s Activities of Daily Living (ADL) Scale, the MMSE, the Cumulative Illness Rating Scale for Geriatrics (CIRSG), age, and gender. Results: In our sample, 59% met the criteria for prefrail/subsyndromal or frail/syndromal (SSF) on the SHARE-FI. SSF had significant direct effects on the NPI and significant indirect effects on the CBI mediated through the NPI; the NPI had significant direct effects on the CBI. Race (White) had significant direct effects on the CBI (higher) and SSF (lower) but did not have significant indirect effects on the CBI. MMSE, ADL, and CIRSG were not significantly associated with the NPI or the CBI. Conclusions: Our analysis demonstrated that frailty, race, BPSD, and caregiver burden may directly or indirectly influence one another, and therefore should be considered essential elements of dementia assessment, care, and research. These results must be viewed as provisional and should be replicated longitudinally with larger samples.

Objective: The papers primary goal is to report the devastating impact of carbon tetrachloride (CCl4) on rat testicular tissue and the possible protecting function of propolis against CCl4 based on its free radical scavenging and inflammatory relief properties. Materials and Methods: A total of 24 adult male albino rats had been classified into four groups (six rats/group). Rats of group 1 served as control, whereas groups 24 received propolis (200 mg/kg/day), CCl4 (3 ml/kg/day), and propolis/CCl4, respectively. After 4 weeks, the collected sera were applied for the estimation of lipid profile and sex hormones. Also, histopathological picture, malondialdehyde, and tumor necrosis factor alpha (TNFα) gene profile was measured in collected testicular tissues. Results: The present information revealed a noteworthy change (p < 0.05) in lipid profile, decrease in testicular weight, testosterone, antioxidants values along with a prominent increase (p < 0.05) in estradiol, lipid peroxidation values, and expression of TNFα in rats administrated with CCl4 com¬pared to control. Moreover, the histopathological profile showed the degeneration of the epithe¬lium. Interestingly, propolis attenuated the destructive effect of CCl4 on rat testes. Conclusion: The examined dose of propolis reduced oxidation, and inflammatory reactions resulted from CCl4 exposure and proved that it might have a helpful part in free radicals inter¬ceded diseases. [J Adv Vet Anim Res 2021; 8(1.000): 70-77]

The COVID-19 pandemic accelerated the integration of telemental health services for older adults. But such digitization also created new complexities regarding equitable access, privacy, and regulation. This article summarizes the evolving digital mental health landscape, focusing on regulatory frameworks, inherent risks, and the transformative potential of technology, particularly artificial intelligence (AI). Also covered are shifts in Medicare coverage and calls for standardized guidelines, interdisciplinary collaboration and robust regulation focused on patient privacy and AI ethics. Despite challenges, AI-driven diagnostic, monitoring, and intervention tools offer insights into mental health trajectories, using data generated by wearables, social media, and immersive technologies. [ABSTRACT FROM AUTHOR]

Background and Objectives: For persons with dementia, the relationships between caregiver burden, physical frailty, race, behavioral and psychological symptoms (BPSD), and other associated variables are poorly understood. Only one prior study examined the relationships among these variables but did not include race, which is an important social determinant of health outcomes in the United States. To examine these interactions, we conducted a cross-sectional exploratory study based on a model by Sugimoto and colleagues. Materials and Methods: The sample comprised 85 patient–caregiver dyads (58% White) seen in four centers in diverse regions of New York State. All patients met DSM5 criteria for a major neurocognitive disorder, had a Clinical Dementia Rating sum score of ≥3, and Mini-Mental State Examination (MMSE) score of 10 to 26. Other measures included the SHARE-Frailty Instrument(FI), the Neuropsychiatric Inventory (NPI) to assess BPSD, Zarit's Caregiver Burden Interview (CBI), Lawton's Activities of Daily Living (ADL) Scale, the MMSE, the Cumulative Illness Rating Scale for Geriatrics (CIRSG), age, and gender. Results: In our sample, 59% met the criteria for prefrail/subsyndromal or frail/syndromal (SSF) on the SHARE-FI. SSF had significant direct effects on the NPI and significant indirect effects on the CBI mediated through the NPI; the NPI had significant direct effects on the CBI. Race (White) had significant direct effects on the CBI (higher) and SSF (lower) but did not have significant indirect effects on the CBI. MMSE, ADL, and CIRSG were not significantly associated with the NPI or the CBI. Conclusions: Our analysis demonstrated that frailty, race, BPSD, and caregiver burden may directly or indirectly influence one another, and therefore should be considered essential elements of dementia assessment, care, and research. These results must be viewed as provisional and should be replicated longitudinally with larger samples. [ABSTRACT FROM AUTHOR]