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Introduction: While transient loneliness refers to feelings that last for a short time (less than two years), chronic loneliness alludes to feelings that last more than two years. Transient loneliness can appear after stressful life events such as retirement and loss of close social connections whereas chronic loneliness is more strongly related to maladaptive social cognition, poor social support, and lack of intimate relationships. In comparison to transient loneliness, chronic loneliness is more strongly linked to mental health problems, particularly the incidence and recurrence of depression. Therefore, understanding the specific risk factors for both types of loneliness would be of great utility in mitigating their impact on mental health. Objectives: Our aim was to test distinct measures and risk factors for chronic and transient loneliness as well as cross-sectional and longitudinal associations of transient and chronic loneliness with depression. Methods: Responses from participants in Wave 5 (T1, 2013) and Wave 6 (T2, 2015) of The Survey of Health, Ageing and Retirement in Europe (SHARE) (N=45,490) were analyzed. The existence of clinically significant symptoms of depression was defined as reporting a value≥4 on the Euro-D scale. Loneliness was measured through 3-item loneliness scale and a single question. Both measures were tested in separate logistic regression models to identify risk factors for transient (loneliness at T1 but not at T2) and chronic loneliness (loneliness at both time points) as well as their impact on depression. Results: Between 47% and 40% of the cases of loneliness became chronic, according to the UCLA scale and the single question, respectively. Risk factors for both loneliness courses were being female, not being married, having a low educational level, having a poor physical health, having a poor social network and living in a culturally individualistic country. Risk factor for chronic loneliness were stronger, particularly those related to health status and social networks. Chronic loneliness showed also a strong association with depression both cross-sectionally and longitudinally, while transient loneliness showed a weaker cross-sectional association and markedly lower probabilities in the longitudinal association. Conclusions: Risk factors for chronic loneliness and measures of the temporal dimension of loneliness should be considered in psychosocial interventions designed to prevent mental disorders. Disclosure of Interest: None Declared [ABSTRACT FROM AUTHOR]

Introduction: The COVID-19 pandemic involved stringent social restrictions, a surge in mortality, and significant economic consequences, affecting age groups differently and leading to increases in loneliness and mental health problems, particularly depression, which was already very common before the pandemic. Objectives: Analyse changes and related factors of the relationship between loneliness and depression by age group from (1) before to the COVID-19 outbreak, (2) during the pandemic, and (3) after the last state of emergency. Moreover, we aim to (4) evaluate the effect of social support to alleviate feelings of loneliness and improve the course of depression. Methods: We used data from three different cohorts, all representative of the Spanish adult population. (1) We longitudinally analysed the association between loneliness and depression with a sample interviewed before (N = 1,880) and during (N = 1,103) the pandemic. We used mixed-models to study changes in major depressive disorder (MDD) by age group and regression models to quantify the association between age and potential mediating effects. (2) We analysed data of 2,000 adults during the pandemic. Several regression models were constructed to assess the impact of pre-pandemic mental disorders on the main association by age group. (3) Out of those 2,000 participants, 1,300 were interviewed 9 months later, to determine group-based loneliness trajectories and its associated risk factors. (4) We analysed the relationship between loneliness, social support, and MDD over a 7-year period (N=404 individuals aged 50+ having MDD). We tested cross‐lagged panel models using structural equation modelling. Results: During the pandemic the probability of having MDD increased significantly among younger individuals, and was partly explained by loneliness, low resilience, and worsened economic situation. Loneliness was associated with more depressive symptoms, and this association was stronger in younger adults without pre-pandemic mental disorders and in older adults with them. At the end of pandemic, three courses of loneliness were detected: invariant low loneliness (42.6%), decreasing medium loneliness (51.5%), and fairly invariant high loneliness (5.9%). Risk factors for worse trajectories were being younger, female, not married, and, notably, having pre-pandemic mental disorders. Among individuals with depression prior to the pandemic, lower social support predicted higher subsequent levels of loneliness, resulting in an increase in MDD recurrence. Conclusions: Strategies to decrease the impact of loneliness on depressive symptoms should consider individuals mental health background, address social determinants, and adopt an age-driven perspective. Disclosure of Interest: None Declared [ABSTRACT FROM AUTHOR]

Aims: To investigate the prevalence of suicidal thoughts and behaviours (STB; i.e. suicidal ideation, plans or attempts) in the Spanish adult general population during the first wave of the Spain coronavirus disease 2019 (COVID-19) pandemic (March−July, 2020), and to investigate the individual- and population-level impact of relevant distal and proximal STB risk factor domains. Methods: Cross-sectional study design using data from the baseline assessment of an observational cohort study (MIND/COVID project). A nationally representative sample of 3500 non-institutionalised Spanish adults (51.5% female; mean age = 49.6 [s.d. = 17.0]) was taken using dual-frame random digit dialing, stratified for age, sex and geographical area. Professional interviewers carried out computer-assisted telephone interviews (1–30 June 2020). Thirty-day STB was assessed using modified items from the Columbia Suicide Severity Rating Scale. Distal (i.e. pre-pandemic) risk factors included sociodemographic variables, number of physical health conditions and pre-pandemic lifetime mental disorders; proximal (i.e. pandemic) risk factors included current mental disorders and a range of adverse events-experiences related to the pandemic. Logistic regression was used to investigate individual-level associations (odds ratios [OR]) and population-level associations (population attributable risk proportions [PARP]) between risk factors and 30-day STB. All data were weighted using post-stratification survey weights. Results: Estimated prevalence of 30-day STB was 4.5% (1.8% active suicidal ideation; n = 5 [0.1%] suicide attempts). STB was 9.7% among the 34.3% of respondents with pre-pandemic lifetime mental disorders, and 1.8% among the 65.7% without any pre-pandemic lifetime mental disorder. Factors significantly associated with STB were pre-pandemic lifetime mental disorders (total PARP = 49.1%) and current mental disorders (total PARP = 58.4%), i.e. major depressive disorder (OR = 6.0; PARP = 39.2%), generalised anxiety disorder (OR = 5.6; PARP = 36.3%), post-traumatic stress disorder (OR = 4.6; PARP = 26.6%), panic attacks (OR = 6.7; PARP = 36.6%) and alcohol/substance use disorder (OR = 3.3; PARP = 5.9%). Pandemic-related adverse events-experiences associated with STB were lack of social support, interpersonal stress, stress about personal health and about the health of loved ones (PARPs 32.7–42.6%%), and having loved ones infected with COVID-19 (OR = 1.7; PARP = 18.8%). Up to 74.1% of STB is potentially attributable to the joint effects of mental disorders and adverse events−experiences related to the pandemic. Conclusions: STB at the end of the first wave of the Spain COVID-19 pandemic was high, and large proportions of STB are potentially attributable to mental disorders and adverse events−experiences related to the pandemic, including health-related stress, lack of social support and interpersonal stress. There is an urgent need to allocate resources to increase access to adequate mental healthcare, even in times of healthcare system overload. Study registration number: NCT04556565 [ABSTRACT FROM AUTHOR]

Introduction: Alleviating loneliness have been found as a prevention strategy for mental health, particularly against depressive disorder in the elderly. In spite of the growing interest in the impact of physical built environment (BE) and neighborhood social capital (NSC) on factors related to physical and mental health in the gerontology research, data are lacking on the effect of both factors on loneliness. Objectives: To investigate whether high NSC and useful BE could mitigate the feelings of loneliness among older adults. Methods: Data include a representative population-based sample from Sant Boi de Llobregat (a suburb of Barcelona) of 1124 adults aged 50 and over. Loneliness was assessed through three-item UCLA Loneliness Scale. BE usability was measured using COURAGE BE self-reported questionnaire. We assessed social capital through structural features -such as trust, norms, and networksthat facilitate collective action for mutual benefit, according to Coleman and Putnam. Logistic regression models were carried out. Results: Individuals living in an area with high NSC and high individual social capital showed a lower likelihood of loneliness, whereas a useful BE was a protective factor against loneliness in areas with low NSC. Conclusions: Interventions aiming to increase NSC could be an effective strategy to reduce the prevalence of loneliness in older people whereas improving BE could be an effective strategy in areas where NSC is lacking. [ABSTRACT FROM AUTHOR]

Background: Existing research has highlighted the positive association of material deprivation, loneliness, and poor social support with major depressive disorder (MDD). However, there is limited information on the complex interplay between these risk factors. In this study, we investigated (1) whether loneliness and social support moderate the relationship between material deprivation and MDD and (2) whether social support moderates the association between material deprivation and loneliness., Methods: We conducted a cross-sectional study analyzing responses from a representative sample of the Spanish adult population, comprising 2790 individuals who were interviewed between 2019 and 2021. The 12-month prevalence of MDD was assessed using the Composite International Diagnostic Interview (CIDI). Loneliness was measured using the three-item UCLA Loneliness Scale, and social support was evaluated with the Oslo social support scale. Material deprivation was measured using an instrument developed by the Spanish National Institute of Statistics (INE). Regression models were constructed to investigate moderating effects., Results: About 25 % of participants experienced material deprivation and 2.8 % had MDD. Among those with lower levels of loneliness, the probability of MDD was almost 0.10 and no significant differences were found in relation to material deprivation. Conversely, differences depending on material deprivation ranged from 0.10 (95 % CI 0.03, 0.18) to 0.44 (95 % CI 0.24, 0.65) among those with higher levels of loneliness. Social support effectively moderated the association between material deprivation and loneliness., Limitation: The cross-sectional nature limits causal inferences., Conclusion: Social support has the potential to improve loneliness and mental health in individuals with economic difficulties., Competing Interests: Declaration of competing interest The authors declare no conflict of interest., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Background: Despite the availability of effective antidepressant strategies, numerous people with depressive disorders remain untreated. The Covid-19 pandemic has affected healthcare services, especially the mental health sector. This study aims to explore the coverage of depression treatments in the general Spanish population and the impact of the Covid-19 pandemic., Methods: We used longitudinal data (2018 and 2022) from the general Spanish population: pre-pandemic n = 1512; mean age = 65.43 years ± 14.90; 56 % females; post-pandemic n = 909; mean age = 68.00 years ± 14.24; 54 % women. The International Classification of Disease 10th edition was used to diagnose lifetime depressive episodes and severity. We explored psychological and pharmacological treatment coverage via multiple logistic regressions adjusted for 4 covariates (sex assigned at birth, education level, age, Covid-19 pandemic) for participants with a diagnosis of depression., Results: Treatment coverage for depression in the pre-pandemic and post-pandemic samples was, respectively, 53.3 % and 51.9 %. We observed an association between severe depression and treatment coverage (OR = 2.77, 95%CI 1.05 to 7.75). We found no association between the COVID-19 pandemic and treatment coverage., Conclusions: The pharmacological treatment coverage was associated with severe types of depression. The prevalence rates of treatment coverage were similar in the pre- and post-COVID-19 pandemic attesting to the resilience of the mental health system in Spain., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors. Published by Elsevier Ltd.)

Background: Depression is a heterogeneous disease. Identification of latent depression subgroups and differential associations across these putative groups and sociodemographic and health-related factors might pave the way toward targeted treatment of individuals., Methods: We used model-based clustering to identify relevant subgroups of 2900 individuals with moderate to severe depression (defined as scores ≥10 on the PHQ-9 instrument) from the NHANES cross-sectional survey. We used ANOVA and chi-squared tests to assess associations between cluster membership and sociodemographics, health-related variables, and prescription medication use., Results: We identified six latent clusters of individuals, three based on depression severity and three differentially loaded by somatic and mental components of the PHQ-9. The Severe mental depression cluster had the most individuals with low education and income (P < 0.05). We observed differences in the prevalence of numerous health conditions, with the Severe mental depression cluster showing the worst overall physical health. We observed marked differences between the clusters regarding prescription medication use: the Severe mental depression cluster had the highest use of cardiovascular and metabolic agents, while the Uniform severe depression cluster showed the highest use of central nervous system and psychotherapeutic agents., Limitations: Due to the cross-sectional design we cannot make conclusions about causal relationships. We used self-reported data. We did not have access to a replication cohort., Conclusions: We show that socioeconomic factors, somatic diseases, and prescription medication use are differentially associated with distinct and clinically relevant clusters of individuals with moderate to severe depression., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)

Introduction: The present study aims to investigate the courses of loneliness following a national state of emergency including a curfew due to a rise in COVID-19 cases, associated risk factors, and the effect of loneliness on symptoms of depression and anxiety., Methods: Data of 2,000 adults in Spain which were interviewed by telephone at the first follow-up of the MINDCOVID project (February-March 2021) and of whom 953 were interviewed nine months later (November-December 2021) were analyzed. Group-based trajectories and mixed models were constructed., Results: Three courses of loneliness were detected: (1) invariant low loneliness (42.6%), (2) decreasing medium loneliness (51.5%), and (3) fairly invariant high loneliness (5.9%). Loneliness courses were associated with the severity and variability of symptoms of depression and anxiety. In contrast to the majority of pre-pandemic studies, younger adults more frequently reported loneliness compared to middle-aged and, particularly, older individuals. Other risk factors for loneliness were being female, being unmarried, and, notably, having pre-pandemic mental disorders., Conclusions: Future studies should validate whether the newly observed loneliness patterns across age groups persist and assess the evolution of loneliness courses and their impact on mental health, with particular attention given to young adults and individuals with pre-existing mental disorders., Competing Interests: Declaration of Competing Interest The authors declare that they have no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Background: Understanding the impact of the COVID-19 crisis on health involves conducting longitudinal studies to evaluate the inequalities that may have been exacerbated by the pandemic. The purpose of this study was to estimate differences in physical and mental health derived from the COVID-19 pandemic, beyond SARS-CoV-2 infection, in the Spanish general population according to the participants' level of education; and to assess the evolution of these differences from June 2020 (just after the lockdown) to nine months later (February-March 2021)., Methods: This is a longitudinal prospective study of a representative sample of non-institutionalized Spanish adults, through computer-assisted telephone interviews. Mobility, self-care, usual activities, pain/discomfort and anxiety/depression problems were measured with EQ-5D-5L. Prevalence ratio (PR) between high and low education levels and adjusted PR were estimated by Poisson regression models. Analyses were stratified by gender., Results: A total of 2,000 participants answered both surveys. Individuals with low level of education reported more health problems in both genders, and absolute inequalities remained quite constant (mobility and self-care problems) or decreased (pain/discomfort and anxiety/depression problems). The greatest relative inequalities were observed just after the lockdown, with age-adjusted PR ranging from 1.31 (95%CI 1.08-1.59) for women and 1.34 (95%CI 1.05-1.69) for men in pain/discomfort to 2.59 (95%CI 0.98-6.81) for women and 4.03 (95%CI 1.52-10.70) for men in self-care; aPR decreased after nine months for most dimensions., Conclusions: Prevalence of health problems increased during the COVID-19 pandemic in all education groups, but the increase was higher in women and men with a high level of education, suggesting that its impact appeared later in this group. Further analysis on the role of governmental economic aid given to vulnerable people might shed light on this evolution., (© 2023. The Author(s).)

Background: Data collected during the COVID-19 pandemic suggest an increase in major depressive disorder (MDD) among younger adults. The current study aims to assess the association of age groups and MDD risk before and during the COVID-19 pandemic and quantify the effect of potential mediating variables such as loneliness, social support, resilience, and socioeconomic factors., Methods: A representative sample of Spanish adults was interviewed before (2019, N = 1880) and during (2020, N = 1103) the COVID-19 pandemic. MDD was assessed using the CIDI, loneliness through the UCLA scale, social support through the OSSS-3, resilience with the 6-BRS, and worsened economic circumstances and unemployment through a single question. Mixed-models were used to study changes in MDD by age group. Regression models were constructed to quantify the association between age and potential mediators, as well as their mediating effect on the association between age group and MDD., Results: Among the younger age cohorts (18-29 and 30-44 years) the probability of having MDD during the pandemic increased from 0.04 (95 % CI: 0.002-0.09) to 0.25 (0.12-0.39) and from 0.02 (-0.001-0.03) to 0.11 (0.04-0.17), respectively. Some 36.6 % of the association between age and risk of MDD during the pandemic was explained by loneliness (12.0 %), low resilience (10.7 %), and worsened economic situation (13.9 %)., Limitations: Reliance on self-report data and generalizability of the findings limited to the Spanish population., Conclusions: Strategies to decrease the impact of a pandemic on depressive symptoms among young adults should address loneliness, provide tools to improve resilience, and enjoy improved financial support., Competing Interests: Conflict of interest The authors declare no conflict of interests., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Background: Research suggests that changes in social support and loneliness have affected mental disorder symptoms during the COVID-19 pandemic. However, there are a lack of studies comparing the robustness of these associations., Aims: The aims were to estimate the strength of the associations of loneliness and social support with symptoms of depression, anxiety, and posttraumatic stress during the COVID-19 pandemic (2020-2022) in the general population., Method: The method entailed a systematic review and random-effects meta-analysis of quantitative studies., Results: Seventy-three studies were included in the meta-analysis. The pooled correlations of the effect size of the association of loneliness with symptoms of depression, anxiety, and posttraumatic stress were 0.49, 0.40, and 0.38, respectively. The corresponding figures for social support were 0.29, 0.19, and 0.18, respectively. Subgroup analyses revealed that the strength of some associations could be influenced by the sociodemographic characteristics of the study samples, such as age, gender, region, and COVID-19 stringency index, and by methodological moderators, such as sample size, collection date, methodological quality, and the measurement scales., Conclusions: Social support had a weak association with mental disorder symptoms during the COVID-19 pandemic while the association with loneliness was moderate. Strategies to address loneliness could be highly effective in reducing the impact of the pandemic on social relationships and mental health.

During the COVID-19 pandemic, anxiety and depressive symptoms, as well as problems related to social relationships, such as available social support and feelings of detachment from others, have worsened. These factors are strongly associated with suicidal thoughts and behaviours (STB). The effects of feelings of detachment on mental health and on STB have been scarcely studied, together with the relation that it may have with available social support. Therefore, the aim of the present study was to assess potential pathways connecting these conditions. A nationally representative sample of Spanish adults ( N  = 3305) was interviewed during the COVID-19 pandemic (June 2020). STB, social support, and depressive and anxiety symptoms were measured with the C-SSRS (modified version), OSSS-3, PHQ-8, and GAD-7 scales, respectively. Multivariable logistic regression models and mediation analyses were performed. Social support and some of its components (i.e., social network size and relations of reciprocity) were associated with lower odds of STB. Detachment significantly mediated (22% to 25%) these associations. Symptoms of emotional disorders significantly mediated the association between social support components (29% to 38%) - but not neighbourhood support - with STB, as well as the association between detachment and higher odds of STB (47% to 57%). In both cases, depressive symptoms were slightly stronger mediating factors when compared to anxiety symptoms. Our findings suggest that interventions aimed at lowering depressive and anxiety symptoms, and STB should provide social support and help tackle the feeling of detachment in a complementary way., Competing Interests: Conflict of InterestThe authors declare that they have no conflict of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.)

Objective: Older adults may be at lower risk of common mental disorders than younger adults during the coronavirus disease 2019 (COVID-19) pandemic. Previous research has shown shown differences by age in psychosocial well-being during the pandemic and have highlighted the moderating effect of prepandemic mental disorders on that association. In this line, we examined the association of age with self-reported symptoms of loneliness, depression, anxiety, and posttraumatic stress, as well as potential roles of loneliness symptoms and prepandemic mental disorders on the association between age and mental disorder symptoms., Methods: Cross-sectional data of 2000 adults in Spain interviewed by telephone during the COVID-19 pandemic (February-March 2021) were analyzed. Depression, anxiety, and posttraumatic stress were measured with the eight-item Patient Health Questionnaire, the seven-item Generalized Anxiety Disorder Scale, and the four-item checklist for Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition), respectively. Loneliness was measured with the three-item University of California at Los Angeles Loneliness Scale. Several regression models were constructed to assess factors related to loneliness and mental disorders., Results: According to cutoff points used, 12.4% of participants revealed depression, 11.9% revealed anxiety, and 11.6% revealed posttraumatic stress. Age was negatively related to mental disorder symptoms and loneliness. Loneliness was associated with higher levels of mental disorder symptoms. This association was stronger in younger adults without prepandemic mental disorders and in older adults with them. The association between age and loneliness was stronger in those with prepandemic mental disorders. Loneliness mediated the association of age with mental disorder symptoms., Conclusions: Interventions focused on loneliness could alleviate the impact of the COVID-19 pandemic on mental health., (Copyright © 2022 by the American Psychosomatic Society.)

Substance use disorder is on the rise; it has increased massively during the COVID-19 lockdown and has been found as a risk factor for depressive symptoms and major depressive disorder. Less is known about the hypothetical moderating effect of social support in that association. Three thousand five hundred Spanish adults were interviewed by phone during the COVID-19 lockdown (May-June 2020). The 8-item Patient Health Questionnaire Depression Scale (PHQ-8) was used to measure the symptoms of depression. The CAGE Adapted to Include Drugs (CAGE-AID) questionnaire was used to assess substance use disorder during the previous month. Social support was measured through the Oslo Social Support Scale (OSSS-3). Regression models were constructed to assess factors related to depressive symptoms. People with substance use disorder (alcohol and drugs) showed considerable high levels of depressive symptoms, particularly among those with low levels of social support, which reported levels above major depressive disorder cut-off., Competing Interests: Competing InterestsThe authors declare no competing interests., (© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.)

Background: The type of pre-existing disorder might determine changes in mental health symptoms (i.e., anxiety, depression) during the COVID-19 pandemic and influence the effect of psychological factors (e.g., social support, resilience, stress) on such symptoms., Methods: Longitudinal data from two assessments (June-2020 and February/March-2021) collected through telephone interviews (Spanish general population) were analysed. Outcome variables included anxiety (GAD-7) and depressive symptoms (PHQ-8). Psychological factors included COVID-perceived stress (adapted COVID-perceived risk scale), social support (OSSS-3), and resilience (CD-RISC). Pre-existing mental conditions (3 groups: mood, anxiety, and comorbid depression+anxiety) were assessed using the CIDI checklist. Changes in anxiety and depressive symptoms between baseline and follow-up were assessed with the paired samples Wilcoxon test. Tobit regression and interaction models were conducted to test associations between psychological factors and these symptoms in follow-up., Results: Final sample included 1942 participants (mean age 49.6 yrs., ±16.7; 51.7 % females). Anxiety symptoms increased in all groups except for those with pre-existing mood conditions. Depressive symptoms only increased in those without pre-existing mental disorders and in those with pre-existing anxiety. Higher baseline resilience, increases in social support, and decreases in COVID-perceived stress were associated with lower anxiety and depressive symptoms. The type of pre-existing mental disorder did not modify these associations., Limitations: Lack of pre-pandemic data and the limited number of pre-existing mental conditions., Conclusions: Having pre-pandemic mental disorders is associated with different patterns of anxiety and depressive symptoms during the pandemic. COVID-related stress, social support, and resilience are key factors in improving mental health regardless of the mental diagnosis., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Objective: The present study aims to evaluate the effectiveness of the CRENCO project which was carried out during the COVID-19 pandemic including intergenerational activities shared by students from primary and secondary education and users of two centers for older adults and a day hospital in Catalonia. The effectiveness was assessed in terms of well-being in older adults and on negative stereotypes about the elderly in primary and secondary students., Methods: Three interventions were carried out in which 32 older persons (9 users of centers for older adults and 23 of a day hospital), 99 primary students and 56 secondary students participated. Participants answered a questionnaire before and after the interventions. Through multilevel linear models for repeated measures, changes in feelings of loneliness, social support, anxiety and depressive symptoms, self-reported health and health-related quality of life were evaluated in older people. In primary and secondary students, changes in age stereotypes were evaluated., Results: Health-related quality of life and self-reported health improved statistically after the interventions in older persons. Users of the day hospital also reported an improvement in social support. Primary school students improved their age stereotypes; no statistically significant changes were detected in secondary students., Conclusion: The results of the present study contribute to underlining the importance of intergenerational programs such as the one proposed by CRENCO, capable of improving well-being and providing a more realistic vision of the older adults. Our results suggest that these programs should be implemented during childhood in order to prevent the proliferation of ageist stereotypes in later life stages., (Copyright © 2022 SEGG. Publicado por Elsevier España, S.L.U. All rights reserved.)

The COVID-19 outbreak, which was followed by home confinement, is expected to have had profound negative impact on the mental health of people. Associated factors, such as losing jobs and income, can be expected to lead to an increased risk of suffering from psychopathological problems. Therefore, this study was aimed at researching the associations of job and income loss with mental health, as well as the possible mediating role of perceived financial stress during the COVID-19 outbreak. The sample included 2381 Spanish workers who were interviewed right after the first COVID-19 lockdown. Measures were taken for generalized anxiety disorder, panic attacks, depression, post-traumatic stress disorder, substance abuse, suicidal thoughts and behaviors, working conditions, sociodemographic variables, and perceived financial stress. Logistic regression models were calculated with psychological variables as outcomes, and with job loss and income loss as predictors. Mediation analyses were performed by adding the financial threat as a mediator. Nineteen point six percent and 33.9% of participants reported having lost their jobs and incomes due to the pandemic, respectively. Only income loss was related to a higher risk of suffering from depression and panic attacks. When adding financial stress as a mediator, the indirect effects of job and income loss on the mental health measures were found to be significant, therefore indicating mediation. These findings pinpoint the vulnerability of this population, and highlight the need for interventional and preventive programs targeting mental health in economic crisis scenarios, such as the current one. They also highlight the importance of implementing social and income policies during the COVID-19 pandemic to prevent mental health problems.

Background: We assessed the moderating effect of pre-pandemic mental disorders on the association of COVID-related perceived stress and social support with mental health., Methods: A nationally representative sample of 3500 Spanish adults was interviewed in June 2020 (mean age 49.25 years, ± 15.64; 51.50% females). Mental health included Generalized Anxiety Disorders (GAD; GAD-7, cut-off point of ≥ 10), Major Depressive Disorders (MDD; PHQ-8, cut-off point of ≥ 10) and the comorbid form (those screening positive for GAD and MDD). COVID-related stress was assessed using an adapted version of the Peri Life Events Scale, and social support using the Oslo Social Support Scale. Logistic regression models were used to assess if COVID-related stress and social support were related to mental health outcomes and interactions were conducted to examine whether these relationships differed according to the presence of pre-pandemic mental disorders., Results: Higher COVID-related stress was associated with a higher risk of lower mental health. The association between COVID-related stress with GAD and MDD was significantly moderated by pre-pandemic mental disorders, except for comorbid GAD + MDD. Higher levels of social support were linked to better mental health. Only the association between social support and GAD was significantly moderated by pre-pandemic mental disorders. That is, for those without pre-pandemic mental disorders, higher levels of social support decreased the odds of GAD, while minor decreases were observed in those with pre-pandemic mental disorders., Conclusions: The impact of COVID-related stress and social support on specific indicators of mental health may vary depending on the existence of a previous mental disorder., (© 2022. The Author(s).)

Background: Previous research indicates that social support, loneliness, and major depressive disorder (MDD) are interrelated. Little is known about the potential pathways among these factors, in particular in the case of adults aged 50 years and older and suffering from MDD. The objective was to investigate whether loneliness mediates the association between low social support and recurrent episodes of MDD., Methods: We used data from a cohort of the Spanish general population interviewed at three time-points over a 7-year period. We included 404 individuals aged 50+ suffering from MDD in the baseline assessment. A 12-month major depressive episode was assessed with the Composite International Diagnostic Interview (CIDI) at each interview. The University of California, Los Angeles Loneliness Scale was used to measure loneliness, whereas social support was assessed through the Oslo Social Support Scale. We tested cross-lagged and autoregressive longitudinal associations using structural equation modeling., Results: We identified two significant longitudinal mediation patterns: lower social support predicted higher subsequent levels of loneliness (Coef. = -0.16; p < .05), which in turn predicted an increase in MDD recurrence (Coef. = 0.05; p < .05)., Conclusions: Interventions focused on promoting social support among older adults suffering from MDD may decrease feelings of loneliness and prevent recurrent episodes of MDD., (© 2022 Wiley Periodicals LLC.)

Objectives: Although older adults often experience negative life events or loss experiences, they rarely experience large decreases in their quality of life or well-being. Emotionally satisfying relationships in older adults may serve as a protective factor that reduces the impact of negative events in decreasing well-being. The availability of these close social contacts is essential, and their potential for alleviating feelings of loneliness after negative events could have an important role in promoting well-being. The aim of this study was to test the hypothetical moderation and mediation effects of social and emotional loneliness on the occurrence of negative old-age life events and well-being in later life., Design: This was a cross-sectional survey conducted as part of the Detection, Support and Care for older people - Prevention and Empowerment research project (2015-2018)., Setting: Participants were community-dwelling older adults in Flanders (Belgium)., Participants: The sample composed of 770 participants aged 60 years and over., Measurements: Participant demographics, social and emotional loneliness, and subjective well-being were measured. Moderation and mediation analyses were performed using the regression-based approach as conducted by Hayes and Rockwood (2017)., Results: Results indicated that a low degree of (social) loneliness is a protective, moderating factor and (emotional) loneliness is a mediating factor on the effects of negative life events on well-being in later life., Conclusions: Findings highlight the importance of emotionally and socially satisfying social contacts in order to maintain positive subjective well-being in later life when negative life events may occur.

Introduction: Previous research indicates that social isolation, loneliness, physical dysfunction and depressive symptoms are interrelated factors, little is known about the potential pathways among them. The aim of the study is to analyse simultaneously reciprocal relationships that could exist between the four factors to clarify potential mediation effects., Methods: Within a large representative sample of older people in the Longitudinal Aging Study Amsterdam (LASA), participants aged 75 and over were followed up over a period of 11 years (four waves). We tested cross-lagged and autoregressive longitudinal associations of social network size, loneliness, physical functioning and depressive symptoms using structural equation modelling (SEM)., Results: Several statistically significant cross-lagged associations were found: decreasing physical functioning (Coef. = -0.03; p < 0.05), as well as social network size (Coef. = -0.02; p < 0.05), predicted higher levels of loneliness, which predicted an increase in depressive symptoms (Coef. = 0.17; p < 0.05) and further reduction of social network (Coef. = -0.20; p < 0.05). Decreasing physical functioning also predicted an increase in depressive symptoms (Coef. = -0.08; p < 0.05). All autoregressive associations were statistically significant., Conclusion: Interventions focused on promoting social activities among older adults after negative life events, such as loss of social contacts or declining physical function, may alleviate feelings of loneliness and act as mental health protector., (© 2021 The Authors. International Journal of Geriatric Psychiatry published by John Wiley & Sons Ltd.)

Introduction: There is growing concern about the effect of lockdown and social distancing on mental health. Subjective feelings related to social relationships such as detachment have shown a strong effect on mental health, whereas objective factors might have a moderating role in that association., Objective: To investigate whether social support and living situation have a moderating effect on the association between detachment and affective disorder symptoms during the COVID-19 lockdown., Methods: 3,305 Spanish adults were interviewed by phone at the end of the COVID-19 lockdown (May-June 2020). Detachment during confinement was assessed with a single-item frequency question. Anxiety symptoms were measured through GAD-7, depressive symptoms through PHQ-9, and social support through the Oslo Social Support Scale (OSSS). Associations with anxiety and depressive symptoms were tested through Tobit regression models. Interactions of detachment with living situation and social support were tested as independent variables., Results: People living alone showed significantly lower levels of anxiety whereas people living with another (but not as a couple) showed higher levels of depression. Detachment was strongly associated with both affective disorders. Social support had a statistically significant moderating effect on that association. Those with a low level of social support and a high level of detachment reported means of depression and anxiety above major depression (10.5 CI 95% 9.6, 11.4 at OSSS=10) and generalized anxiety disorders (10.1 CI 95% 9.2, 11.0 at OSSS=9) cut offs CONCLUSION: Interventions centered on improving social support could alleviate feelings of detachment and prevent affective disorders during lockdowns., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Objectives: Despite growing interest in the impact of physical and social environment on mental health, data are lacking on the potential mediating effects of loneliness. We examined it in the association of several social and physical environmental characteristics with mental health among older adults in three municipalities in Flanders (Belgium). Methods: A total of 869 people aged 60 and over were interviewed. Loneliness was assessed through the De Jong Gierveld short scales for emotional and social loneliness. Social participation and social cohesion were assessed following the Neighborhood scales whereas physical environment characteristics were selected from the Neighborhood Environment Walkability Scale. Mental health was assessed through subscale psychological frailty of the Comprehensive Frailty Assessment Instrument plus (CFAI-plus). Linear regression models, including mediation analysis, were used to analyze the survey data. Results: After adjusting for individual characteristics, physical and social environment factors were significantly related to mental health with the significant mediation of emotional and social loneliness. Percentages mediated by both dimensions together were 61% for social cohesion, 43% for social participation, 35% for safety and 25% for mobility. Compared with social loneliness, emotional loneliness was a stronger mediating factor, particularly for mobility and safety. No significant associations between traffic density or basic service availability and mental health were found. Discussion: Improving the social and physical environment might result in a reduction in the prevalence of loneliness and in consequent improvement of mental health among older adults. Special attention should be paid to different types of loneliness.

A growing body of work suggests that social and activity participation (SAP) may contribute to health and well-being. Studies examining the effects of these activities largely focused on healthy older adults and older adults with more resources, not on frail older adults. On the latter, there is a lack of information about which activities contribute most and whether their effects vary between men and women given the gender-differentiated social roles. To address these gaps we extracted longitudinal data from the D-SCOPE frailty program for 380 participants aged 60 years or older residing in Belgium. Structural equation models tested the relationships between six levels of SAP based on a taxonomy of social activities (Levasseur et al., 2010) - from level 1 (for oneself) to level 6 (for others) - on longitudinal changes in physical and mental deterioration, well-being, and gender differences within these relationships. Results first show that older adults at risk of frailty benefit longitudinally from participating in activities in terms of their physical deterioration and well-being. Second, socially oriented activities were significantly associated with lower levels of physical deterioration and higher levels of subjective well-being (SWB), and volunteering with higher levels of SWB. Heterogeneity of activities, regardless of level on the taxonomy of social activities, seems to benefit SWB and counteract physical deterioration. Third, gender differences were confirmed by two activities for women (alone, task-oriented) and three activities for men (alone, being with others, task-oriented e.g. associational membership). Results imply that the activity itself may play a more important role than the nature of social involvement and social interaction in relation to health and wellbeing., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Objective: Childhood financial hardship is associated with depression throughout the life course, including older adulthood. However, it is still unclear the extent to which occupation, education level and household income are mediators of this association. We aimed to examine the association between childhood financial hardship and late-life depression, and potential socioeconomic mediators using community-based data., Methods: A nationally representative sample of 3623 non-institutionalized older Spanish adults aged 50+ was used. The associations between childhood financial hardship and depression, socioeconomic mediator variables and confounding variables such as chronic physical conditions, number of close people, and loneliness, were assessed through logistic regression models. Mediation analyses of socioeconomic variables were carried out., Results: Older Spanish adults who experienced a poor childhood financial situation were nine times more likely to obtain a lower level of education than those with a good childhood financial situation, and about three times more likely to suffer from depression. Participants' education level mediated about 35-40% of the association between childhood financial hardship and late-life depression whereas we found no significant mediation effect of household income and occupation skill., Conclusion: Improving access to the educational system during the life course might result in a reduction in the prevalence of depression in the general population of older adults and particularly among individuals with low socioeconomic status.

Objectives: The number of older adults is rapidly rising globally. Loneliness is a common problem that can deteriorate health. The aims of this work were to identify different types of loneliness (transient and chronic) and to assess their association with depression over time., Methods: A nationally representative sample from the Spanish population comprising 1190 individuals aged 50+ years was interviewed on three evaluations over a 7-year period. The UCLA Loneliness Scale was used to measure loneliness. While chronic loneliness was defined as the presence of loneliness across all three waves, transient loneliness expressed the presence of loneliness in one wave only. A 12-month major depressive episode was assessed at each interview. After confirming the cross-sectional relationship, a multilevel mixed-effects model was used to examine the association between loneliness and depression., Results: Almost a quarter of individuals felt lonely and one out of 10 presented depression at baseline. Of the sample, 22.78% showed transient loneliness, while 6.72% presented the chronic type. People experiencing chronic loneliness were at a higher risk of presenting major depression (OR = 6.11; 95% CI = 2.62, 14.22) than those presenting transient loneliness (OR = 2.22; 95% CI = 1.19, 4.14). This association varied over time and was stronger at the first follow-up than at the second one., Conclusions: Focusing on loneliness prevention could reduce the risk of depression. Chronic loneliness is a public health problem that should be addressed through the full participation of the political, social, and medical sectors., (© 2020 John Wiley & Sons Ltd.)

Depression and loneliness act in a synergistic way among older adults. We tested two indicators of the perceived neighborhood built environment (BE) as moderators of the association between these conditions in older European adults. Positive perceptions of neighborhood BE were related to lower levels of loneliness but not to major depressive disorder (MDD). Reporting low BE usability was significantly related to a higher likelihood of feeling lonely except for those suffering from MDD, whereas reporting low BE walkability was significantly related with a high likelihood of loneliness particularly among those with MDD. Therefore, improving neighborhood BE and, specifically, its walkability, might result in a reduction in the prevalence of loneliness., Competing Interests: Declaration of competing interest The authors declare that they have no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Background: Social network, loneliness, generalized anxiety disorder (GAD) and major depression disorder (MDD) are interrelated. However, as the directions of these associations are still unclear, we examined them prospectively using community-based data., Methods: Data on 5066 adults aged ≥50 years from The Irish Longitudinal Study on Ageing (TILDA) were analyzed. Loneliness was assessed through the UCLA loneliness scale. Social integration was measured using the Berkman-Syme Social Network Index. MDD and GAD were assessed with the Composite International Diagnostic Interview (CIDI). Logistic regression models were conducted., Results: The longitudinal association between experiencing loneliness and higher likelihood of suffering from MDD or GAD two years later is bidirectional but stronger with loneliness as origin, whereas the association between social isolation and higher likelihood of subsequent MDD or GAD as well as those between loneliness and subsequent deterioration of social integration are unidirectional., Conclusion: Objective and perceived social isolation independently affect the probability of suffering from MDD or GAD whereas loneliness is a risk factor for the deterioration of social life, which highlights the need to address the subjective factors (such as loneliness) and objective factors (such as social network size) of social isolation in a complementary way in order to improve the mental health of the older adult population., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Background: Socioeconomic status, as measured by education, occupation or income, is associated with depression. However, data are lacking on the psychosocial, material and behavioral mediators of these associations. We have examined the association of education, occupation and income with depression and the potential mediations using community-based data., Methods: A total of 7,966 older adults were interviewed in Finland, Poland and Spain. The differential associations between depression and SES, mediator variables, country of residence and cofounder variables, such as chronic physical conditions, were assessed through logistic regression models. Meditation analyses were carried out using khb method for Stata 13.1., Results: Education, followed by household income, were the SES indicators most frequently significantly associated with depression. These SES markers, but not occupation, showed an independent effect in this association. Psychosocial factors and loneliness in particular showed the strongest associations with depression among mediator variables. However, material factors and, especially, financial strain had a higher mediating function in the association between SES and depression. Overall, SES markers, chronic conditions and mediation factors were more positive in Finland than in Poland and Spain., Conclusion: Improving psychosocial and material dimensions as well as access to the educational system for older adults might result in a reduction in the prevalence of depression in the general population and particularly among individuals with low SES., (Copyright © 2018. Published by Elsevier B.V.)

Objective: Successful aging (SA) refers to maintaining well-being in old age. Several definitions or models of SA exist (biomedical, psychosocial, and mixed). We examined the longitudinal association between various SA models and sociodemographic factors, and analyzed the patterns of change within these models., Method: This was a nationally representative follow-up in Spain including 3,625 individuals aged ≥50 years. Some 1,970 individuals were interviewed after 3 years. Linear regression models were used to analyze the survey data., Results: Age, sex, and occupation predicted SA in the biomedical model, while marital status, educational level, and urbanicity predicted SA in the psychosocial model. The remaining models included different sets of these predictors as significant. In the psychosocial model, individuals tended to improve over time but this was not the case in the biomedical model., Conclusion: The biomedical and psychosocial components of SA need to be addressed specifically to achieve the best aging trajectories.

Objectives: To determine whether the effect of multimorbidity on time to mortality is modified by level of social support and loneliness in a representative sample of 2113 participants aged 60+., Methods: Vital status was ascertained through national registers or by asking participants' relatives. Baseline variables included number of illnesses, self-perceived social support (Oslo social support scale) and loneliness (UCLA loneliness scale). Kaplan-Meier survival curves were used to estimate the time to death by multimorbidity, social support and loneliness. Adjusted cox proportional hazards regression models were conducted to explore interactions between multimorbidity and social support and loneliness., Results: Multimorbidity was associated with low probability of survival, whereas high loneliness and low social support were not related with time to death. Only the interaction multimorbidity∗social support was significant. Participants with low social support and 2 chronic diseases, compared with none, presented lower probability of survival (HR=2.43, 95%CI=1.14-5.18, p<0.05), whereas the effect of multimorbidity, in comparison with not having chronic conditions, did not affect mortality if participants had high social support. For participants with low social support, there were no differences between having one, two or more than two diseases. When there is high social support, the probability of death is significantly lower if one or two chronic diseases are present, compared with more than two., Discussion: These findings indicate that having a supportive social environment increases the survival of people with physical illnesses, especially those with one or two. For those with more than two illnesses, survival remains unchanged regardless of the level of social support and other protective factors should be explored in future research. Geriatric health professionals are encouraged to evaluate social relationships and stimulate support given by relatives, friends or neighbors., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Purpose: The aim of the present study is to analyze the role of age in the association between socio-economic status (SES) and loneliness as well as the role of neighborhood social capital (NSC) in the association between individual social capital and loneliness., Methods: Data include a representative population-based sample from Sant Boi de Llobregat (a suburb of Barcelona) of 1124 adults aged 50 and over. Logistic regression models were used to analyze the survey data. Interactions between SES and age, and NSC and individual social capital were explored., Results: Among the poorest older adults, older individuals showed a lower likelihood of loneliness (OR 0.09, 95% CI 0.02, 0.30, p < 0.05) compared with the youngest cohort after adjusting for covariates, while among the richest individuals there were no significant differences among age cohorts. Individuals living in an area with high NSC and high individual social capital showed a lower likelihood of loneliness (OR 0.36, 95% CI 0.17, 0.73, p < 0.05) compared with those with low individual social capital after adjusting for covariates. The effect of individual social capital was not significant among individuals living in an area with low NSC., Conclusion: Interventions focusing on low SES middle-aged (50-59 years old) individuals and those aiming to increase NSC could be effective strategies to reduce the prevalence of loneliness in older people.

Purpose: Loneliness and depression are associated, in particular in older adults. Less is known about the role of social networks in this relationship. The present study analyzes the influence of social networks in the relationship between loneliness and depression in the older adult population in Spain., Methods: A population-representative sample of 3535 adults aged 50 years and over from Spain was analyzed. Loneliness was assessed by means of the three-item UCLA Loneliness Scale. Social network characteristics were measured using the Berkman-Syme Social Network Index. Major depression in the previous 12 months was assessed with the Composite International Diagnostic Interview (CIDI). Logistic regression models were used to analyze the survey data., Results: Feelings of loneliness were more prevalent in women, those who were younger (50-65), single, separated, divorced or widowed, living in a rural setting, with a lower frequency of social interactions and smaller social network, and with major depression. Among people feeling lonely, those with depression were more frequently married and had a small social network. Among those not feeling lonely, depression was associated with being previously married. In depressed people, feelings of loneliness were associated with having a small social network; while among those without depression, feelings of loneliness were associated with being married., Conclusion: The type and size of social networks have a role in the relationship between loneliness and depression. Increasing social interaction may be more beneficial than strategies based on improving maladaptive social cognition in loneliness to reduce the prevalence of depression among Spanish older adults.

Objectives: To assess the association between cognitive reserve (CR) and quality of life (QoL), as well as the role of depression, cognitive functioning, and disability in this association., Methods: Nationally-representative cross-sectional population-based data on 1973 individuals aged ≥50years from the Spanish sample of the Collaborative Research on Ageing in Europe (COURAGE) study were analysed. CR was a composite score ranging from 0 to 25 obtained from the Cognitive Reserve Questionnaire, which is composed of items on training courses, occupation, musical training, languages, reading activities, intellectual games, and level of education of the participants and their parents. QoL, ranging from 0 to 100, was assessed with the WHOQOL-AGE. Multiple linear regression and mediation analyses were performed., Results: Higher levels of CR were associated with higher QoL, after controlling for potential confounders (Coef. 0.53; 95% CI=0.36, 0.70). The strongest mediator in this association was disability, which explained about half of the association, while depression and cognition explained 6-10% of this association., Discussion: CR is associated with higher QoL in older adults. Interventions targeting determinants of CR that can be modified or trained across the lifespan may lead to successful ageing by prolonging autonomous functioning and enhancing QoL., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Background/aims: In the absence of effective treatments for dementia, major efforts are being directed towards identifying the risk factors of the prodromal phase of the disease. We report the incidence rates of mild cognitive impairment (MCI) in a Spanish population sample and assess the effect of depression at baseline on incident MCI (or MCI subtypes) at a 3-year follow-up., Methods: A total of 1,642 participants (age ≥50 years) were examined as part of a Spanish nationally representative longitudinal study. MCI was defined as the presence of cognitive concerns, objective evidence of impairment in one or more cognitive domains, preservation of independence in functional abilities, and no dementia. Depression was assessed through an adaptation of the Composite International Diagnostic Interview (CIDI 3.0). Binary and multinomial logistic regression analyses were carried out to assess the associations., Results: The overall MCI incidence rate was 33.19 (95% CI = 26.02, 43.04) per 1,000 person-years. Depression at baseline predicted the onset of MCI at follow-up after controlling for sociodemographics, cognitive functioning, and other physical health conditions (OR = 2.79; 95% CI = 1.70, 4.59). The effect of baseline depression on incident MCI subtypes was as follows: amnestic MCI, OR = 3.81 (95% CI = 1.96, 7.43); nonamnestic MCI, OR = 2.03 (95% CI = 0.98, 4.21)., Conclusion: Depression significantly increases the risk for MCI. Targeting depression among those at risk for dementia may help delay or even prevent the onset of dementia., (© 2017 S. Karger AG, Basel.)