Depression In Older Adults Research Articles

Exploring the pathways linking visual green space to depression in older adults in Shanghai, China: using street view data

Objectives To examine (1) how visual green space quantity and quality affect depression among older adults; (2) whether and how the links may be mediated by perceived stress, physical activity, neighbourhood social cohesion, and air pollution (PM2.5); and (3) whether there are differences in the mediation across visual green space quantity and quality. Method We used older adults samples (aged over 65) from the WHO Study on Global Ageing and Adult Health in Shanghai, China. Depression was quantified by two self-reported questions related to the diagnosis of depression and medications or other treatments for depression. Visual green space quantity and quality were calculated using street view images and machine learning methods (street view green space = SVG). Mediators included perceived stress, social cohesion, physical activity, and PM2.5. Multilevel logistic and linear regression models were applied to understand the mediating roles of the above mediators in the link between visual green space quantity and quality and depression in older adults. Results SVG quantity and quality were negatively related to depression. Significant partial mediators for SVG quality were social cohesion and perceived stress. For SVG quantity, there was no evidence that any of the above mediators mediated the association. Conclusion Our results indicated that visual green space quantity and quality may be related to depression in older adults through different mechanisms.

Comparison of the performance of different nutritional indicators for predicting poststroke depression in older adults with ischemic stroke

ObjectiveThis study aimed to investigate the relationships between three different nutritional indicators and poststroke depression (PSD) and to analyze the performance of these nutritional indicators in predicting the occurrence of PSD in older adults with ischemic stroke to provide a reference for nurses to identify high-risk patients with PSD early, optimize stroke management, and improve patient prognosis. MethodsThis cohort study prospectively included 239 older adults with ischemic stroke in the Department of Neurology of a hospital in Shenzhen from September 2022 to May 2023. The nutritional status of the patients were evaluated by laboratory indicators, the Mini Nutritional Assessment Short Form (MNA-SF), and the Geriatric Nutrition Risk Index (GNRI). The Hospital Anxiety and Depression Scale-Depression (HADS-D) was used to evaluate PSD. A self-designed questionnaire was used to collect demographic information and disease-related information. Binary logistic regression analysis was performed to analyze factors related to PSD, and receiver operating characteristic curve analysis was also used to compare the performance of these nutritional indicators. ResultsA total of 239 older adults with ischemic stroke were included; the mean age was 71.10 ± 7.41 years, and 66.5% (159/239) were males. The incidence of PSD was 32.6% (78/239). The incidence of PSD in the low-value group was significantly greater than that in the high-value group according to the different nutritional indices, and the difference was statistically significant (all P < 0.05). Binary logistic regression analysis revealed that the albumin (ALB) level (OR = 0.681; 95% CI, 0.508–0.913; P = 0.010), GNRI score (OR = 1.238; 95% CI, 1.034–1.483; P = 0.020), and MNA-SF score (OR = 0.708; 95% CI, 0.614–0.815; P < 0.001) were influencing factors for PSD in this population (P < 0.05). Combined with the ALB, GNRI, and MNA-SF, the area under the ROC curve for predicting the incidence of PSD in older adults with ischemic stroke was the largest and had a high degree of differentiation (AUC, 0.738; sensitivity, 75.6%; specificity, 60.9%). ConclusionThe nutritional indices ALB, GNRI, and MNA-SF can be used as auxiliary tools to predict the risk of PSD in older adults with ischemic stroke malnutrition. Further validation by nurses in a more diverse patient population is needed to demonstrate the accuracy of the predictions.

DEPRESSION IN THE GOLDEN YEARS: AN IN-DEPHT LITERATURE REVIEW OF RISK FACTORS AMONG INSTITUTIONALIZED ELDERS

Depression rates are notably higher in older adults residing in long-term care compared to their community-dwelling counterparts. The complexity of care needs for this group is growing, yet the specific risk factors for depression remain poorly defined. The review consolidates current knowledge on the risk factors for depression, aiming to bridge these gaps in idenOficaOon and intervenOon development. Searches were performed using 3 databases: pubmed, scopus and web of science, for research of original arOcles published 2000-2023. 8 studies were selected for final analysis. The results reveal that the most prominent risk factors for the emergence of depression in this populaOon are the presence of depressive symptoms at baseline, cogniOve impairment and pain The findings underscore the imperaOve for early idenOficaOon and comprehensive management of depression in older adults residing in long-term care seSngs. It advocates for an integrated care model that encompasses mental health intervenOons alongside physical health care.

Chronic exercise effects on overall depression severity and distinct depressive symptoms in older adults: A protocol of a systematic and meta-analytic review.

There is high evidence that chronic exercise benefits overall depression severity in older adults. However, late-life depression is characterized by considerable heterogeneity in clinical manifestation emphasizing the need for more individualized exercise intervention programs. Therefore, the objective of the proposed review is to investigate the effects of chronic exercise on overall depression severity and on different symptoms of depression in randomized controlled trials (RCTs) including older adults with a mean age of at least 60 years, and by considering the moderating effects of intervention characteristics and individual characteristics. This protocol is guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P). We will use the Population-Intervention-Comparator-Outcomes-Study design (PICOS) criteria for study inclusion and will search the following database sources for relevant RCTs: Web of Science, Academic Search Complete, CINAHL, APA Psycinfo, SPORTDiscuss, Cochrane. Two independent reviewers will conduct the study selection, data extraction, and quality assessment. Disagreement will be solved by a third reviewer. Primary outcome will be changes in overall depression severity and secondary outcomes will encompass changes in symptoms of depression as defined by the DSM-5, such as sleep quality, fatigue, anxiety, mood, apathy, changes in weight, information processing speed, and executive functions, from baseline until the end of the intervention and to any available intermediary measurement or follow up. Meta-analysis will be undertaken to synthesize the effects of chronic exercise on primary and secondary outcomes. Subgroup analysis will investigate the moderating effects of intervention characteristics (frequency, intensity, duration, type of exercise, cognitive demand, social interactions, exercise supervision, behavioral change techniques, compliance, study design, dropout-rate, type of control group) and individual characteristics (age, sex, education, functional capacity, global cognition, population) on primary and secondary outcomes. Additionally, we plan to assess quality of evidence and publication bias, and to carry out sensitivity analysis. The results of the proposed review are anticipated to have a substantial impact on research and clinical practice. On the one hand, the review's conclusions could form the foundation for developing evidence-based recommendations for individualized exercise programs that alleviate depression in older adults. On the other hand, by revealing research gaps, the review results could encourage the formulation of research questions for further RCTs. This protocol has been published in the Prospero repository (PROSPERO 2022 CRD42022361418, available from: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022361418).

Risk prediction models of depression in older adults with chronic diseases

BackgroundDetecting potential depression and identifying the critical predictors of depression among older adults with chronic diseases are essential for timely intervention and management of depression. Therefore, risk prediction models (RPMs) of depression in elderly people should be further explored. MethodsA total of 3959 respondents aged 60 years or over from the wave four survey of the China Health and Retired Longitudinal Study (CHARLS) were included in this study. We used five machine learning (ML) algorithms and three data balancing techniques to construct RPMs of depression and calculated feature importance scores to determine which features are essential to depression. ResultsThe prevalence of depression was 19.2 % among older Chinese adults with chronic diseases in the wave four survey. The random forest (RF) model was more accurate than the other models after balancing the data using the Synthetic Minority Oversampling Technique (SMOTE) algorithm, with an area under the receiver operating characteristic curve (AUROC) and area under the precision-recall curve (AUPRC) of 0.957 and 0.920, respectively, a balanced accuracy of 0.891 and a sensitivity of 0.875. Furthermore, we further identified several important predictors between male and female patients via constructed sex-stratified models. LimitationsFurther research on the clinical impact studies of our models and external validation are needed. ConclusionsAfter several techniques were used to address class imbalance issues, most RPMs achieved satisfactory accuracy in predicting depression among elderly people with chronic diseases. RPMs may thus become valuable screening tools for both older individuals and healthcare practitioners to assess the risk of depression.

The influence of residential Environment and residential experience on psychological depression in older adults: Evidence from China and Europe

This cross-national study examined the influence of residential environment and experience on depression in older adults in China and Europe to address existing research gaps. Using data from the China Health and Retirement Longitudinal Study (CHARLS) and Survey of Health, Ageing, and Retirement in Europe (SHARE) and employing ridge regression, it was found that residential environment and experience have a significant influence on older adults' depression. The influence of residential experience aligns with the sensitivity period hypothesis. The environment in which older adults live during specific age periods leaves an imprint on their psyche. This imprint is activated when specific environments are encountered in old age, thereby influencing the level of depression. This study examined how their influence on depression contributes to understanding older adults’ housing preferences and can guide housing-related policies.

Longitudinal changes in anxiety and depression and their ameliorating lifestyle factors among community-dwelling older adults during the COVID-19 pandemic

BackgroundThe COVID-19 pandemic has affected the lifestyle and mental health of community-dwelling older adults. Physical activity and social interaction are healthy lifestyle factors that can reduce psychological distress among community-dwelling older adults, although their effect may vary by sex. However, it is unclear how the anxiety and depression of older adults living in the community changed when measures were implemented to limit social interactions to control infection, as in the early stages of COVID-19, and what lifestyle factors helped ameliorate psychological distress in each sex. MethodsThis study included 550 participants aged 65 and older, who visited a drug store in Daito, Osaka Prefecture, Japan. Baseline questionnaire surveys were conducted from January to April 2021. Follow-up surveys were conducted three months after the baseline survey. We collected data on participants’ anxiety and depression symptoms using the Kessler Psychological Distress Scale-6 (K6), as well as on their lifestyle factors that may have affected anxiety and depression symptoms. ResultsA total of 520 participants completed the baseline and follow-up surveys. K6 scores did not show a significant difference, while the frequency of social interactions with neighbors, family, and friends increased significantly between the two surveys. Among women participants, more frequent moderate-intensity exercise and family interactions were associated with improved K6 scores. ConclusionsWhen social interactions are restricted for infection control in community-dwelling older adults who are independent in activities of daily living including the ability to go out, social interactions recover over time, but anxiety and depressive symptoms persist. In women, lifestyle factors such as frequent moderate-intensity exercise may help reduce persisted anxiety and depression.

Household Non-mortgage Debt and Depression in Older Adults in 22 Countries: What is the Role of Social Norms, Institutions and Macroeconomic Conditions?

Household Non-mortgage Debt and Depression in Older Adults in 22 Countries: What is the Role of Social Norms, Institutions and Macroeconomic Conditions?

A narrative review: suicide and suicidal behaviour in older adults.

Globally, suicide is a public health concern that claims the lives of many each year. The complex etiology and factors contributing to the risk of suicide make it hard to predict the likelihood of death by suicide. Suicide rates have been increasing over the past 25 years in patients aged 65 years and older, and with the expected increases in the size of the older adult population and the under-detection of suicide risk, these rates may continue to increase. To mitigate and attempt to limit this expected increase, it is important to understand the risk and protective factors of suicide in older adults. This narrative review focuses on individuals above the age of 65 and encompasses relevant peer-reviewed publications from the past 25 years to cover fatal and non-fatal suicidal behaviour. It summarizes several important risk factors for suicide and suicidal behaviors while considering how risk can be detected, assessed, prevented, and mitigated. Screening methods to detect suicide and depression in older adults were examined based on their effectiveness and suitability for use in this population. Lastly, the impacts of the COVID-19 pandemic on suicide rates in older adults were described.

Long-term remission and relapse of anxiety and depression in older adults after Cognitive Behavioural Therapy (CBT): A 10-year follow-up of a randomised controlled trial

BackgroundThis study examined the long-term durability of cognitive behaviour therapy (CBT) for older adults with comorbid anxiety and depression 10 years after treatment, in comparison to an active control group. MethodParticipants from a randomised controlled trial for older adults with comorbid anxiety and depression (Wuthrich et al., 2016) were re-contacted. Participants had received either group CBT or an active control treatment (Discussion Group). The final sample (N = 54; Aged 70–84, Mage = 76.07, SD = 3.83; 59 % of the eligible original sample) completed a diagnostic interview, cognitive assessment and self-report measures of symptoms and quality of life. ResultsCBT was associated with significantly improved long-term (10-year) efficacy for reducing anxiety and depression in older adults compared to the Discussion group. Effects included higher rates of remission (58 % remission of all diagnoses vs 27 %, 88 % of all depressive diagnoses vs 54 %, 63 % of all anxiety diagnoses vs 35 %, 67 % of primary diagnosis vs 42 %), lower rates of relapse (25–31 % vs 50–78 %) and lower rates of chronic treatment-resistance (8 % primary disorder vs 39 %, 21 % any disorder vs 58 %). Participants who showed an acute treatment response at post-treatment were 7–9 times more likely to be in remission after 10 years than those with residual symptoms. LimitationsResults may not generalise to those who do not complete CBT, and the time trajectory of symptom change is unclear. ConclusionsLong-term improvements in symptoms are specific to CBT. Results provide compelling evidence for CBT as an effective and durable treatment for late-life anxiety and depression.

Propofol enhancement of slow wave sleep to target the nexus of geriatric depression and cognitive dysfunction: protocol for a phase I open label trial

IntroductionLate-life treatment-resistant depression (LL-TRD) is common and increases risk for accelerated ageing and cognitive decline. Impaired sleep is common in LL-TRD and is a risk factor for cognitive decline. Slow...

CYP2D6 Phenotype Influences Pharmacokinetic Parameters of Venlafaxine: Results from a Population Pharmacokinetic Model in Older Adults with Depression.

In this study, we aimed to improve upon a published population pharmacokinetic (PK) model for venlafaxine (VEN) in the treatment of depression in older adults, then investigate whether CYP2D6 metabolizer status affected model-estimated PK parameters of VEN and its active metabolite O-desmethylvenlafaxine. The model included 325 participants from a clinical trial in which older adults with depression were treated with open-label VEN (maximum 300 mg/day) for 12 weeks and plasma levels of VEN and O-desmethylvenlafaxine were assessed at weeks 4 and 12. We fitted a nonlinear mixed-effect PK model using NONMEM to estimate PK parameters for VEN and O-desmethylvenlafaxine adjusted for CYP2D6 metabolizer status and age. At both lower doses (up to 150 mg/day) and higher doses (up to 300 mg/day), CYP2D6 metabolizers impacted PK model-estimated VEN clearance, VEN exposure, and active moiety (VEN + O-desmethylvenlafaxine) exposure. Specifically, compared with CYP2D6 normal metabolizers, (i) CYP2D6 ultra-rapid metabolizers had higher VEN clearance; (ii) CYP2D6 intermediate metabolizers had lower VEN clearance; (iii) CYP2D6 poor metabolizers had lower VEN clearance, higher VEN exposure, and higher active moiety exposure. Overall, our study showed that including a pharmacogenetic factor in a population PK model could increase model fit, and this improved model demonstrated how CYP2D6 metabolizer status affected VEN-related PK parameters, highlighting the importance of genetic factors in personalized medicine.

Level of Depression in Older Adults Related to Functional Capacity

Introduction: It is expected that by the year 2050, the number of people aged 60 or over will be higher than that of adolescents and young people aged 15 to 24, and nearly 65 % of older people will live in low- and middle-income countries.1 In this regard aging will become a very important object of study. This process, combined with the lack of physical activity, become conclusive factors in the progressive loss or alteration of physical and mental abilities (for example, depression).2, 3 Hypothesis: Worse functionality is related to depressive levels in older adults. Objective: To determine the level of depression (geriatric depression scale Yesavage) related to the functionality (Barthel Index/scale) of the elderly patients. Methodology: A convenience sample of 40 elderly patients (&gt;60 years) was selected at the “Centro de Salud con Servicios Ampliados (CESSA) Romero Vargas” (Puebla, Mexico) who constantly attended follow-up consultations. During the period August-October 2023, the Yesavage and Barthel scale4 were applied. In addition, some additional data were also obtained from the identification sheet. Data analysis The final information was processed with Excel and Minitab software, the data were analyzed using simple descriptive statistics of frequencies, obtaining absolute and percentage distributions of the variable under study. For the relationship and significance of the variables level of depression and physical dependence, the variable correlation model (Spearman's Rho) was used, with a p &lt;0.05. Results: Of the total sample (n= 40), 78% were female and 23% were male. 37.5% of the patients were classified as without depression and independent, 2.5% without depression with moderate dependence, 12.5% with mild depression and independent, 5% with depression and mild dependence, 15% with mild depression and moderate dependence, 10% with mild depression and severe dependence, 7.5% with mild depression and total dependence, and finally 5% for the categories of “severe and independent depression” and “severe depression and severe dependence”. In addition, a statistically significant correlation (p &lt;0.05) was found with the following variables: economic dependency and health services, level of depression and health services and finally functional capacity and level of depression. Conclusion: Disability in the elderly encompasses functional deficiencies, limitations in activity and restrictions that transcend their autonomy, as well as the patient's own socialization; causing depression in the majority of this population. This is the reason why senile patients need to have close follow-up. In this study, it was demonstrated that the Barthel and Yesavage scale are useful tools for the assessment of depression and functionality. In addition, it was proven that there is a statistically significant correlation between the variables functional capacity and level of depression (p= 0.001).

Suicidal behavior and all-cause mortality in depressed older adults aged 75+ treated with electroconvulsive therapy: A Swedish register-based comparison study.

Electroconvulsive therapy (ECT) is effective in treating late-life depression. There is limited research on suicidal behavior and all-cause mortality in the oldest old after ECT. Older adults aged 75years and above who had been inpatients for moderate to severe depression between January 1, 2011, and December 31, 2017, were included in the study. We used exact and propensity score matching to balance groups. We compared suicidal behavior (fatal and non-fatal) and all-cause mortality in those who had received ECT and those with other depression treatments. Of the study population, 1802 persons who received ECT were matched to 4457 persons with other treatments. There were no significant differences in the risk of suicidal behavior between groups, (within 3months: odds ratio 0.73; 95% confidence intervals (CI), 0.44-1.23, within 4months to 1year: aOR 1.34; 95% CI, 0.84-2.13). All-cause mortality was lower among ECT recipients compared to those who had received other treatments, both within 3months (aOR, 0.35; 95% CI, 0.23-0.52), and within 4months to 1year (aOR 0.65; 95% CI, 0.50-0.83). Compared to other depression treatments, ECT is not associated with a higher risk of suicidal behavior in patients aged 75 and above. ECT is associated with lower all-cause mortality in this age group, but we advise caution regarding causal inferences.

Dietary inflammatory index is associated with severe depression in older adults with stroke: a cross-sectional study.

Inflammation is involved in the pathogenesis of stroke and depression. We aimed to investigate the association between the dietary inflammatory index (DII) and depression in American adults with stroke. Adults with stroke were enrolled in the National Health and Nutrition Examination Survey between 2005 and 2018 in the USA. The DII was obtained from a 24-h dietary recall interview for each individual. Multivariate regression and restricted cubic spline analyses were conducted to evaluate the association between DII and depression in adults with stroke. The mean age of the 1239 participants was 63·85 years (50·20 % women), and the prevalence of depression was 18·26 %. DII showed a linear and positive association with severe depression in adults with stroke (OR 1·359; 95 % CI 1·021, 1·810; P for non-linearity = 0·493). Compared with those in the lowest tertile of the DII, adults with stroke in the third tertile of the DII had a 3·222-fold higher risk of severe depression (OR 3·222; 95 % CI 1·150, 9·026). In the stratified analyses, the association between DII score and severe depression was more significant in older adults (P for interaction = 0·010) but NS with respect to sex (P for interaction = 0·184) or smoking status (P for interaction = 0·396). No significant association was found between DII and moderate-to-moderately severe depression in adults with stroke. In conclusion, an increase in DII score was associated with a higher likelihood of severe depression in older adults with stroke.

Gut microbiome predicts cognitive function and depressive symptoms in late life

Depression in older adults with cognitive impairment increases progression to dementia. Microbiota is associated with current mood and cognition, but the extent to which it predicts future symptoms is unknown. In this work, we identified microbial features that reflect current and predict future cognitive and depressive symptoms. Clinical assessments and stool samples were collected from 268 participants with varying cognitive and depressive symptoms. Seventy participants underwent 2-year follow-up. Microbial community diversity, structure, and composition were assessed using high-resolution 16 S rRNA marker gene sequencing. We implemented linear regression to characterize the relationship between microbiome composition, current cognitive impairment, and depressive symptoms. We leveraged elastic net regression to discover features that reflect current or future cognitive function and depressive symptoms. Greater microbial community diversity associated with lower current cognition in the whole sample, and greater depression in participants not on antidepressants. Poor current cognitive function associated with lower relative abundance of Bifidobacterium, while greater GABA degradation associated with greater current depression severity. Future cognitive decline associated with lower cognitive function, lower relative abundance of Intestinibacter, lower glutamate degradation, and higher baseline histamine synthesis. Future increase in depressive symptoms associated with higher baseline depression and anxiety, lower cognitive function, diabetes, lower relative abundance of Bacteroidota, and lower glutamate degradation. Our results suggest cognitive dysfunction and depression are unique states with an overall biological effect detectable through gut microbiota. The microbiome may present a noninvasive readout and prognostic tool for cognitive and psychiatric states.

Gender differences in the predictive effect of perceive emotional intelligence on depressive symptomatology in older adults

The aim of this study was to analyze the associations between emotional intelligence, gender, and depressive symptomatology in older adults. To test whether there were differences between groups in the Trait Meta-Mood Scale dimension, univariate and multivariate analysis of variance were carried out, and t tests were performed to find the differences between groups in the variables that had shown differences in the univariate analysis. Participants were 853 Spanish cognitively healthy older adults between 60 and 95 years of age, with a mean age of 71.7 (SD = 7.4), of whom 64.9% were women. Self-reports were administered to assess the different variables under study. Specifically, the Trait Meta-Mood Scale-24 was used to assess emotional intelligence, and the Centre for Epidemiologic Studies-Depression Scale to measure depressive symptomatology. The three dimensions of emotional intelligence showed differences as a function of gender and depression. Higher scores were found in the three dimensions of emotional intelligence in women. Moreover, people with higher levels of depressive symptomatology had higher scores on attention, and people with low depressive symptomatology had lower levels of clarity and repair. Women with depressive symptomatology showed high levels of attention, in contrast to men and women with low symptomatology. Considering the subjective perception of emotional intelligence, high attention to emotions and the female gender seem to be factors associated with depression in older adults, which allows us to outline a critical profile for depression that should receive special attention. Given the impact of depressive symptomatology in older adults, it is important to identify these profiles in order to detect possible risk factors for depression more effectively.

Depression in Older Adults with Epilepsy: A Cross-sectional Study Examining Prevalence, Risk Factors, and Socio-demographic Correlates in the Detroit Metropolitan Geriatric Population (P4-1.003)

Depression in Older Adults with Epilepsy: A Cross-sectional Study Examining Prevalence, Risk Factors, and Socio-demographic Correlates in the Detroit Metropolitan Geriatric Population (P4-1.003)

Assessment of Depression in Older Adults in a Rural Field Practice Area of a Tertiary Health Care Centre of Western Maharashtra

Background: Depression in older adults is a disease as well as a risk factor for other diseases. The objective of the present study was assessment of depression in older adults residing in a rural field practice area of a tertiary health care centre of Western Maharashtra.Methods: In the present cross-sectional study, systematic random sampling with population proportionate to sample size was used to select a sample of 660 older adults from the study population. A predesigned questionnaire was used and clinical examination was done. Patient Health Questionnaire (PHQ) 12 after translating into thelocal language (Marathi) was used for the diagnosis of depression. Those who gave consent to participate were included and those who could not give consent due to serious illness were excluded from the study. Data analysis was done in Microsoft Excel. Statistical association between variables was tested using chi square test.Conclusion: Depression was significantly associated (p value &lt; 0.05) with the female gender, widow/widower,illiteracy, sedentary life, anaemia and osteoarthritis. The community health workers in rural areas can help toprovide health services including those for depression and so their proper training is necessary.

Less Depression Associated with Social Support Among Older Urban Adults

ABSTRACT Objectives We examined the association between social and emotional support and screening for depression in older adults (aged 70 years and older) living in New York City during COVID-19 pandemic. Methods Between February and March 2022, 298 participants who had previously completed a random digital dial survey of landlines in New York City and consented to follow-up completed the second round survey. The outcome of interest – depression – was assessed using the PHQ-2. Results Participants had a mean age of 78 years (SE = 0.49), were majority (60.8%) female and 42.4% lived alone. Overall, 20.2% of participants screened likely for depression. In the multivariable logistic regression, compared to participants who reported “always or usually” receiving social and emotional support, those who reported receiving such support “sometimes” had 1.9 (p = .251) the odds of screening for depression, and those who reported “rarely or never” receiving social and emotional support had 4.9 (p = .003) the odds of screening likely for depression. Conclusion The findings highlight the importance of promoting social connectedness and support networks and indicate a potential mechanism for improving the prevention and management of depression in older adults during major health threats such as natural disasters, catastrophic weather, or other emergencies.