Scopus İndeksli Yayınlar Koleksiyonu

Mechanisms Underlying the Use of Abusive and Neglectful Behaviors in Dementia Caregiving The Role of Caregiver Mental Health

2025-03-28T07:23:39Z

Mechanisms Underlying the Use of Abusive and Neglectful Behaviors in Dementia Caregiving The Role of Caregiver Mental Health Browning, Wesley R.; Yildiz, Mustafa; Chilatra, Jessica A. Hernandez; Yefimova, Maria; Maxwell, Christopher D.; Sullivan, Tami P.; Winstead, Vicki PURPOSE: In dementia family caregiving, caregiver psychopathology has been frequently identified as a possible risk factor for the use of physically abusive, psychologically abusive, and neglectful behaviors toward care recipients. Yet, the mechanistic role of psychopathology in the use of these behaviors is not understood. The purpose of the current study is to determine the role of caregiver mental health in their daily risk of engaging in physically and psychologically aggressive and neglectful behaviors toward their care recipient with dementia. METHOD: We used an intensive longitudinal design to survey family caregivers daily over 21 days. Using generalized linear mixed models, we evaluated the differential impact of caregivers'(N = 453) experience of major depression and generalized anxiety disorders measured at baseline versus 9,513 daily ratings of depressive and anxiety symptom severity, and interactions across levels, on the daily odds of engaging in physically abusive, psychologically abusive, and neglectful behaviors. RESULTS: Caregivers with clinically significant depression or anxiety at baseline had higher daily odds of engaging in each type of abusive and neglectful behavior. Worsened depressive symptoms (compared to individuals'average across all days) on a given day were associated with increased odds of engaging in psychologically and physically aggressive behaviors on the same day. Worsened anxiety symptoms on a given day were associated with increased odds of psychologically aggressive and neglectful behaviors. CONCLUSION: A key finding was lack of a significant interaction effect between depression and anxiety disorders and mental health symptomology on the daily odds of engaging in abusive and neglectful behaviors. This finding indicates that daily depressive and anxiety symptoms are generalizable intervention targets across the family caregiver population and do not only increase risk among family caregivers with depressive and anxiety disorders. [ Research in Gerontological Nursing, 17 (5), 227-236.]

Synthesis, Enzyme Inhibition, and in Silico Studies of Amino Acid Schiff Bases

2025-03-28T07:23:39Z

Synthesis, Enzyme Inhibition, and in Silico Studies of Amino Acid Schiff Bases Tas, Nilay Akkus; Senocak, Aysegul; Taslimi, Parham; Tuzun, Burak; Karadag, Ahmet In this research, novel complexes of Zn(II) were produced using amino acid Schiff bases. First, new Schiff bases were synthesized from the reaction of 3-methoxy-2-hydroxybenzaldehyde (o-vanillin) and amino acid methyl esters (isoleucine, phenylalanine, methionine). The synthesis of new complexes was carried out by the reaction of these Schiff bases and Zn(OAc)(2).2H(2)O. The structures of the synthesized complexes were elucidated using elemental analysis, FT-IR, NMR, UV-vis spectroscopy, and thermal analysis techniques. In this research, we synthesized new complexes of Zn(II) with amino acid Schiff bases labeled as 1a-1c. We then examined their impact on specific metabolic enzymes, namely acetylcholinesterase (AChE) and butyrylcholinesterase (BChE). The results showed that the molecules exhibited potent inhibitory activities against all targets compared to the standard inhibitor as indicated by IC50 values. Ki values of the compounds for AChE and BChE enzymes were obtained in the range of 78.04 +/- 8.66-111.24 +/- 12.61 and 24.31 +/- 3.98-85.18 +/- 7.05 mu M, respectively. Molecular docking calculations were performed to investigate the biological activities of the metal complexes. The Protein Ligand Interaction Profiler (PLIP) was used to study the chemical interactions of metal complexes with enzymes.

Volumetric Analysis of Carpal Bones by Sex with 3D Slicer Software Program

2025-03-28T07:23:38Z

Volumetric Analysis of Carpal Bones by Sex with 3D Slicer Software Program Celik, Nihal Gurlek; Erdem, Saadet; Kocak, Mehmet In this study, we aim to share the volumes of the carpal bone and the ratio of these volumes to the total volume of wrist bones from Computed Tomography (CT) images obtained from individuals of different ages and sex using 3D Slicer. Right wrist CT images of 0.625 mm slice thickness of 42 healthy individuals (21 female, 21 male) of both sexes were included in our study. Volume calculations were made by loading the images into 3D Slicer, an open-source software package. In this study, mean capitate volume was the largest in both sexes (male 3479.9 +/- 679.2; female 2207.1 +/- 272.1 mm(3)), while pisiform had the smallest mean volume (male 810.0 +/- 141.2; female 566.6 +/- 97.7 mm(3)). This order was ordered from largest to smallest as hamate, scaphoid, trapezium, lunate, triquetrum, trapezoid, and pisiform. According to this study, carpal bone volumes were larger in males than in females (p<0.001). The ratio of each carpal bone volume to the total carpal bone volume was calculated according to sex and it was found that there was no difference (p>0.05). In this study, it was seen that carpal bone volume differed according to sex. However, it was observed that the bone volumes of both sexes took up the same amount in the total bone volume. This information will be very useful in sex determination, 3D anatomical material creation, implant applications and reconstructive surgery.

Subsyndromes and symptom clusters: Multilevel factor analysis of behavioral and psychological symptoms of dementia with intensive longitudinal data

2025-03-28T07:23:37Z

Subsyndromes and symptom clusters: Multilevel factor analysis of behavioral and psychological symptoms of dementia with intensive longitudinal data Pickering, Carolyn E. Z.; Winstead, Vicki; Yildiz, Mustafa; Wang, Danny; Yefimova, Maria; Pickering, Andrew M. INTRODUCTIONBehavioral and psychological symptoms in dementia (BPSD) are dynamic phenomena with a high amount of intraindividual variability. We applied a multilevel framework to identify subsyndromes (between-person factors) that represent clinically relevant profiles of BPSD and identify symptom clusters (within-person factors) that represent contextually driven daily symptom experiences.METHODSThis study used an intensive longitudinal design in which 68 co-residing family caregivers to persons living with dementia were recruited to proxy report on their care recipient's daily symptom experiences of 23 different BPSD for eight consecutive days (n = 443 diaries). A multilevel exploratory/confirmatory factor analysis was used to account for nested data and separate within-person variances from between-level factor estimates.RESULTSExploratory factor analysis identified a 4-between 3-within factor structure based on fit statistics and clinical interpretability.DISCUSSIONThis study offers major methodological and conceptual advancements for management of BPSD within Alzheimer's disease and related dementias by introducing two related but distinct concepts of subsyndromes and symptom clusters.Highlights Because behavioral and psychological symptoms of dementia (BPSD) are dynamic temporal phenomenon, this introduces measurement error into aggregate group-level estimates when trying to create subsyndromes. We propose a multilevel analysis to provide a more valid and reliable estimation by separating out variance due to within-person daily fluctuations. Using a multilevel exploratory factor analysis with intensive longitudinal data, we identified distinct and meaningful groups of BPSD. The four factors at the between-person level represented subsyndromes that are based on how BPSD co-occurred among persons with Alzheimer's disease (AD). These subsyndromes are clinically relevant because they share features of established clinical phenomena and may have similar neurobiological etiologies. We also found three within-person factors representing distinct symptom clusters. They are based on how BPSD clustered together on a given day for an individual with AD and related dementias. These clusters may have shared environmental triggers.