Depression is a global health concern, particularly in the geriatric population. The increasing number of hospital admissions among older individuals highlights the need for healthcare professionals, particularly nurses, to understand and treat geriatric depression. Nurses play a crucial role in caring for older adults with depressive symptoms or depression. This study aimed to assess knowledge and attitudes regarding geriatric depression among primary care nurses in Jazan Region, Saudi Arabia. A cross-sectional study was conducted among 210 primary healthcare nurses in Jazan City using a validated self-administered questionnaire. Knowledge scores were measured and compared among selected demographic variables as well as attitudes toward geriatric depression. Data obtained were analyzed using the Statistical Package for the Social Sciences, version. 20.0. Chi-square test, fisher\'s exact test were used for comparison of variables with categorical data. Most primary care nurses were interested in caring for older patients with depression; however, they never attended training courses focused on geriatric depression. Where the study indicated that 38.1% of participants have poor knowledge about geriatric depression while 25.2% have good knowledge. Where the majority had a high understanding of the potential side effects of antidepressant medications, while they had limited knowledge about symptoms, diagnosis, and medications, the majority of participants demonstrated a positive attitude regarding feeling comfortable dealing with depressed patients\' needs (56.7%) and considered their profession as a well-placed to assist patients (83.3%) However, 15.2% had a negative attitude citing a lack of self-discipline and willpower.
La dépression est un problème de santé mondial, en particulier dans la population gériatrique. Le nombre croissant d’hospitalisations chez les personnes âgées met en évidence la nécessité pour les professionnels de santé, en particulier les infirmières, de comprendre et de traiter la dépression gériatrique. Les infirmières jouent un rôle crucial dans la prise en charge des personnes âgées présentant des symptômes dépressifs ou une dépression. Cette étude visait à évaluer les connaissances et les attitudes concernant la dépression gériatrique parmi les infirmières de soins primaires de la région de Jazan, en Arabie Saoudite. Une étude transversale a été menée auprès de 210 infirmières de soins primaires de la ville de Jazan à l\'aide d\'un questionnaire auto-administré validé. Les scores de connaissances ont été mesurés et comparés parmi certaines variables démographiques ainsi que les attitudes à l\'égard de la dépression gériatrique. Les données obtenues ont été analysées à l’aide du progiciel statistique pour les sciences sociales, version. 20,0. Le test du Chi carré et le test exact de Fisher ont été utilisés pour comparer les variables avec les données catégorielles. La plupart des infirmières de soins primaires souhaitaient soigner des patients âgés souffrant de dépression ; cependant, ils n’ont jamais suivi de formation axée sur la dépression gériatrique. L\'étude indique que 38,1 % des participants ont de mauvaises connaissances sur la dépression gériatrique tandis que 25,2 % ont de bonnes connaissances. Alors que la majorité des participants avaient une bonne compréhension des effets secondaires potentiels des médicaments antidépresseurs, alors qu\'ils avaient une connaissance limitée des symptômes, du diagnostic et des médicaments, la majorité des participants ont démontré une attitude positive et se sentaient à l\'aise pour répondre aux besoins des patients déprimés (56,7 %). et considéraient leur profession comme bien placée pour assister les patients (83,3 %). Toutefois, 15,2 % avaient une attitude négative citant un manque d\'autodiscipline et de volonté.

UNASSIGNED: The aim was to systematically review the association between depression and frailty in the elderly.
UNASSIGNED: Databases such as PubMed, Web of Science, Embase, and Scopus were searched for articles on the link between the risk of depression and frailty since the creation of the databases to September 1, 2023. A pair of investigators collaboratively conducted the screening, collected data, and evaluated the potential for bias in the included studies. R software was utilized for meta-synthesis.
UNASSIGNED: Eight cohort studies comprising 13 043 participants and 14 854 senior individuals with depression were included. The meta-analysis showed that there was a significant connection regarding frailty and the incidence of depression among the elderly (Risk Ratio [RR] = 3.26, 95% Confidence Interval [CI]: 1.68-6.32). Subgroup evaluations showed that there was no association between frailty and depression in the community-dwelling elderly (RR = 2.28, 95% CI: 0.644-8.102) and in the elderly patients with depression assessed by Center for Epidemiological Studies Depression Scale (CES-D) (RR = 5.82, 95% CI: 0.481-70.526).
UNASSIGNED: Frailty is correlated with the risk of depression in the elderly. Frailty is a contributing factor to depression in the elderly.

BACKGROUND: Late-life depression (LLD) is highly prevalent, especially in people aged 80 years and older. We aimed to investigate predictors and their influence on depressive symptoms in LLD.
METHODS: We analysed data from the NRW80+ study, a population-based cross-sectional study of individuals aged 80 years and older. Data from n = 926 cognitively unimpaired participants were included. We reduced 95 variables to 21 predictors of depressive symptoms by using a two-step cluster analysis (TSCA), which were assigned to one of four factors (function, values and lifestyle, autonomy and contentment, biological-somatic) according to a principal component analysis. A second TSCA with complete data sets (n = 879) was used to define clusters of participants. Using weighted mean composite scores (CS) for each factor group, binary logistic regression analyses were performed to predict depressive symptoms for each cluster and the total population.
RESULTS: The second TSCA yielded two clusters (cluster 1 (n = 688), cluster 2 (n = 191)). The proportion of participants with depressive symptoms was significantly higher in cluster 2 compared to cluster 1 (39 % vs. 15 %; OR = 3.6; 95 % CI 2.5-5.1; p < .001). Participants in cluster 2 were significantly older (mean age 88 vs. 85 years; p < .001), with a higher proportion of women (56 % vs. 46 %; OR = 1.5; 95 % CI 1.1-2.0; p = .016), had a higher BMI (p = .017), lower financial resources (OR = 2.3; 95 % CI 1.6-3.5; p < .001), lower educational level (OR = 1.8; 95 % CI 1.2-2.5; p = .002), higher proportion of single, separated or widowed participants (OR = 1.9; 95 % CI 1.3-2.6; p < .001) and a smaller mean social network (p = .044) compared to cluster 1. Binary logistic regression analyses showed that the weighted mean CS including the autonomy and contentment predictors explained the largest proportion of variance (22.8 %) for depressive symptoms in the total population (Nagelkerke\'s R2 = 0.228, p < .001) and in both clusters (cluster 1: Nagelkerke\'s R2 = 0.171, p < .001; cluster 2: Nagelkerke\'s R2 = 0.213, p < .001), respectively.
CONCLUSIONS: The main limitations are the restriction to cognitively unimpaired individuals and the use of a self-rated questionnaire to assess depressive symptoms.
CONCLUSIONS: Psychological factors such as autonomy and contentment are critical for the occurrence of depressive symptoms at higher age, independent of the functional and somatic status and may serve as specific targets for psychotherapy.

BACKGROUND: Given the rising prevalence of depression among older adults and the associated increase in caregiving responsibilities, understanding factors influencing caregiver burden is crucial. Previous research has not extensively explored the impact of caregivers\' attributional styles, that is, how individuals interpret the causes of life events, on their care burden.
OBJECTIVE: This study examined the relationship between caregivers\' attributional styles and their care burden for older patients with depression.
METHODS: This cross-sectional study enrolled older adults aged ≥ 65 years diagnosed with depression and their caregivers. Depression was diagnosed according to the DSM-V criteria for Major Depressive Disorder or Persistent Depressive Disorder. Caregivers completed the Chinese Depression Caregiver Burden Scale (CDCBS) to assess care burden, the Hamilton Depression Rating Scale (HAM-D) to evaluate patient symptom severity, the Center for Epidemiological Studies Depression Scale (CES-D) for measuring caregivers\' depression, and the Chinese Depression Patient Caregiver Attribution Style Scale (CDPCAS) to assess attributional styles. Hierarchical regression analysis was used to identify the factors independently associated with the caregiver\'s subjectively assessed care burden.
RESULTS: The sample included 146 caregivers of geriatric patients with depression. Most depression patients were women (74.7%) with a mean age of 74.3 years, whereas the mean age of caregivers was 57.7 years. Hierarchical regression analysis identified that caregivers\' gender (β = - 0.14, p = .044), educational level (β = 0.19, p = .008), caregivers\' own depression assessed by the Center for Epidemiological Studies Depression Scale (β = 0.41, p < .001), and attributional styles, particularly manipulation (β = 0.29, p < .001) and illness/stress attributional style (β = 0.23, p = .002) as independent factors associated with care burden. Patient symptom severity assessed using the Hamilton Depression Scale was not significantly correlated with care burden after controlling for attributional styles.
CONCLUSIONS: Certain attributional styles, particularly the manipulation and illness/stress attributional styles, significantly increased self-reported care burden. These findings highlight the need for educational resources to change the attribution style, along with support systems and accessible mental health services for caregivers to potentially ease the care burden.

OBJECTIVE: A plethora of studies have unequivocally established the profound significance of harmonious familial relationships on the psychological well-being of the elderly. In this study, we elucidate the intergenerational relationships, probing the association between frequent interactions or encounters with their children and the incidence of depression in old age.
METHODS: We employed a retrospective cross-sectional study design, sourcing our data from the 2018 wave of the China Health and Retirement Longitudinal Study (CHARLS). To identify cases of depression, we utilized the 10-item Center for Epidemiologic Studies Depression Scale (CESD). Employing a five-fold cross-validation methodology, we endeavored to fashion five distinct machine learning models. Subsequently, we crafted learning curves to facilitate the refinement of hyperparameters, assessing model classification performance through metrics such as accuracy and the Area Under the Receiver Operating Characteristic (AUROC) curve. To further elucidate the relationship between variables and geriatric depression, logistic regression was subsequently applied.
RESULTS: Our findings accentuated that sleep patterns emerged as the paramount determinants influencing the onset of depression in the elderly. Relationships with offspring ranked as the second most significant determinant, only surpassed by sleep habits. A negative correlation was observed between sleep patterns (Odds Ratio [OR]: 0.78, 95 % Confidence Interval [CI]: 0.75-0.81, P < 0.01), communication with offspring (OR: 0.86, 95 % CI: 0.82-0.90, P < 0.01), and the prevalence of depressive symptoms. Among the evaluated models, the k-Near Neighbor algorithm demonstrated commendable discriminative power. However, it was the Random Forest algorithm that manifested unparalleled discriminative prowess and precision, establishing itself as the most efficacious classifier.
CONCLUSIONS: Prolonging the duration of nocturnal sleep, and elevating the frequency of communication with offspring have been identified as measures conducive to mitigating the onset of geriatric depression.

BACKGROUND: Treatment resistant depression (TRD) is a subset of major depressive disorder (MDD) in which symptoms do not respond to front line therapies. In older adults, the assessment and treatment of TRD is complicated by psychosocial risk factors unique to this population, as well as a relative paucity of research.
METHODS: Narrative review aimed at (1) defining TRLLD for clinical practice and research; (2) describing psychosocial risk factors; (3) reviewing psychological and non-pharmacological treatments; (4) discussing the role of clinical phenotyping for personalized treatment; and (5) outlining research priorities.
RESULTS: Our definition of TRLLD centers on response to medication and neuromodulation in primary depressive disorders. Psychosocial risk factors include trauma and early life adversity, chronic physical illness, social isolation, personality, and barriers to care. Promising non-pharmacological treatments include cognitive training, psychotherapy, and lifestyle interventions. The utility of clinical phenotyping is highlighted by studies examining the impact of comorbidities, symptom dimensions (e.g., apathy), and structural/functional brain changes.
CONCLUSIONS: There is a relative paucity of TRLLD research. This limits the scope of empirical data from which to derive reliable patterns and complicates efforts to evaluate the literature quantitatively.
CONCLUSIONS: TRLLD is a complex disorder that demands further investigation given our aging population. While this review highlights the promising breadth of TRLLD research to date, more research is needed to help elucidate, for example, the optimal timing for implementing risk mitigation strategies, the value of collaborative care approaches, specific treatment components associated with more robust response, and phenotyping to help inform treatment decisions.

OBJECTIVE: The impact of the government-initiated senior employment program (GSEP) on geriatric depressive symptoms is underexplored. Unearthing this connection could facilitate the planning of future senior employment programs and geriatric depression interventions. In the present study, we aimed to elucidate the possible association between geriatric depressive symptoms and GSEP in older adults.
METHODS: This study employed data from 9,287 participants aged 65 or older, obtained from the 2020 Living Profiles of Older People Survey. We measured depressive symptoms using the Korean version of the 15-item Geriatric Depression Scale. The principal exposure of interest was employment status and GSEP involvement. Data analysis involved multiple linear regression.
RESULTS: Employment, independent of income level, showed association with decreased depressive symptoms compared to unemployment (p<0.001). After adjustments for confounding variables, participation in GSEP jobs showed more significant reduction in depressive symptoms than non-GSEP jobs (β=-0.968, 95% confidence interval [CI]=-1.197 to -0.739, p<0.001 for GSEP jobs, β=-0.541, 95% CI=-0.681 to -0.401, p<0.001 for non-GSEP jobs). Notably, the lower income tertile in GSEP jobs showed a substantial reduction in depressive symptoms compared to all income tertiles in non-GSEP jobs.
CONCLUSIONS: The lower-income GSEP group experienced lower depressive symptoms and life dissatisfaction compared to non-GSEP groups regardless of income. These findings may provide essential insights for the implementation of government policies and community-based interventions.

Late-life depression is one of the most damaging mental illnesses, disrupting the normal lives of older people by causing chronic illness and cognitive impairment. Patients with late-life depression, accompanied by changes in appetite, insomnia, fatigue and guilt, are more likely to experience irritability, anxiety and somatic symptoms. It increases the risk of suicide and dementia and is a major challenge for the public health systems. The current clinical assessment, identification and effectiveness assessment of late-life depression are primarily based on history taking, mental status examination and scale scoring, which lack subjectivity and precision. Functional near-infrared spectroscopy is a rapidly developing optical imaging technology that objectively reflects the oxygenation of hemoglobin in different cerebral regions during different tasks and assesses the functional status of the cerebral cortex. This article presents a comprehensive review of the assessment of functional near-infrared spectroscopy technology in assessing depressive symptoms, social functioning, and cognitive functioning in patients with late-life depression. The use of functional near-infrared spectroscopy provides greater insight into the neurobiological mechanisms underlying depression and helps to assess these three aspects of functionality in depressed patients. In addition, the study discusses the limitations of previous research and explores potential advances in the field.

UNASSIGNED: Older Veterans are at elevated risk for psychological distress and may encounter barriers to accessing mental health services. Compassion Meditation (CM) promotes positive emotions and outcomes among distressed individuals; thus, we conducted a preliminary feasibility study of CM among distressed older Veterans.
UNASSIGNED: Participants included 25 Veterans aged 55+ (M = 69.0, SD = 10.6) with anxiety and/or depressive symptoms, recruited from primary care, mostly male (76.0%), and White (60.0%). CM consisted of 10 groups, which were transitioned from in-person to telehealth due to COVID-19. Feasibility indices included rates of intervention initiation and completion, and attendance. Participants completed measures of symptom severity and well-being pre- and post-intervention.
UNASSIGNED: Of 25 enrolled participants, 88.0% (n = 22) attended at least one session, and 52% (n = 13) completed the intervention (attended six or more sessions). Among intervention completers, the average number of sessions attended was 9.46. Seven Veterans withdrew from intervention due to difficulties engaging via telehealth.
UNASSIGNED: These findings support the feasibility of CM training in older Veterans with psychological distress, though dropouts highlighted potential need for additional strategies to facilitate telehealth participation.
UNASSIGNED: Older Veterans appear amenable to meditation-based practices, provided they are easy to access.

UNASSIGNED: The prevalence of depression among the elderly is a growing concern, and this study examines the differences between urban and rural areas in terms of geriatric depression.
UNASSIGNED: Using a two-stage random sampling approach in urban areas and a multistage random sampling approach in rural areas, the study surveyed 944 elderly individuals of both sexes.
UNASSIGNED: The results indicate that the prevalence of depression was high, with 52.5% of the elderly population experiencing mild to severe depression. The study found that increasing age, female gender, nuclear family structure, and involvement of housewives or others were significant factors affecting depression in urban areas, while increasing age and elderly people without spouses were significant factors in rural areas. Additionally, the study identified hearing impairment, asthma, and arthritis as risk factors for depression in rural areas, and bronchitis, heart disease, and thyroid illness as significant factors in urban areas.
UNASSIGNED: These findings highlight the need for policymakers to focus on addressing the mental health needs of older people, particularly women and those without spouses.