Chronic and Transient Loneliness in Western Countries: Risk Factors and Association With Depression. A 2-Year Follow-Up Study.

INTRODUCTION: Our aim was to test risk factors for chronic and transient loneliness as well as cross-sectional and longitudinal associations of courses of 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 greater than or equal to 4 on the Euro-D scale. Loneliness was measured through the 3-item UCLA loneliness scale and a single question. Both measures were tested in separate regression models to identify risk factors for transient (loneliness at T1) and chronic (loneliness at T1 and T2) loneliness as well as their associations with depression. RESULTS: Chronic loneliness was observed in 47%-40% of the cases of loneliness, according to the UCLA scale and the single question, respectively. Risk factors for chronic loneliness in both models were being female, not being married, having a low educational level, having poor mental and physical health, being limited in activities, having a poor social network, and living in a culturally individualistic country. Risk factors for transient loneliness were less robust and no significant effects were found for variables such as sex and physical health in both models, education level in the UCLA measure model, and social network size in the single question model. Chronic loneliness also showed a strong association with depression in the cross-sectional model and a marked one in the longitudinal model. CONCLUSION: The courses of loneliness are relevant in the study of its risk factors and association with depression.

Patient Satisfaction and Willingness to Continue with Telemental Health Care During and After the Early Period of SARS-CoV-2 Pandemic: A User Survey.

Objective: The SARS-CoV-2 pandemic and related lockdown periods generated an increase in the use of virtual care for mental health (MH). This study aimed to assess patient satisfaction with Telemental Health services (TMH) during first lockdown and factors related to their willingness to continue using this service. Methods: We conducted a cross-sectional survey of 364 MH outpatients from 9 centers in the Barcelona region (Spain), who received TMH between April 20 and May 22, 2020. We assessed sociodemographic and clinical characteristics, prior experience, and familiarity with technologies and satisfaction with TMH. Willingness to receive TMH after the lockdown was measured separately for telephone and videoconferencing. We performed descriptive statistics and bivariate and multivariate regression models to predict TMH willingness. Results: From 450 patients contacted, 364 were interviewed. Satisfaction with TMH was high (mean 9.24, standard deviation 0.07); 2.47% preferred only TMH visits after lockdown, 23.08% preferred mostly TMH visits, 50.82% accepted some TMH visits, and 23.63% would prefer in-person consultations. Female patients and those having received TMH during lockdown showed higher odds of willingness to receive TMH in the future, while patients unfamiliar with technologies showed lower odds. Concerning TMH through telephone, willingness was more likely in patients living with more persons. Videoconferencing willingness was more likely for people living with depression. Conclusions: TMH was well accepted during the first lockdown and patients were willing to maintain it after lockdown. Low familiarity with new technologies is an important barrier to TMH willingness, which needs to be addressed for appropriate implementation going forward.

The Association of Age With Depression, Anxiety, and Posttraumatic Stress Symptoms During the COVID-19 Pandemic in Spain: The Role of Loneliness and Prepandemic Mental Disorder.

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.

Social inequalities in mental and physical health derived from the COVID-19 pandemic in Spain beyond SARS-CoV-2 infection.

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.

The role of social support, detachment, and depressive and anxiety symptoms in suicidal thoughts and behaviours during the Covid-19 lockdown: Potential pathways.

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.

The effect of loneliness and social support on the course of major depressive disorder among adults aged 50 years and older: A longitudinal study.

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.

The impact of COVID-related perceived stress and social support on generalized anxiety and major depressive disorders: moderating effects of pre-pandemic mental disorders.

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.

Social network size, loneliness, physical functioning and depressive symptoms among older adults: Examining reciprocal associations in four waves of the Longitudinal Aging Study Amsterdam (LASA).

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.

Effects of transient and chronic loneliness on major depression in older adults: A longitudinal study.

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.

Negative old-age life events and well-being in later life: the moderating and mediating role of loneliness.

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.

The association between perceived social and physical environment and mental health among older adults: mediating effects of loneliness.

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.

From childhood financial hardship to late-life depression: socioeconomic pathways.

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.

The impact of socioeconomic status on the association between biomedical and psychosocial well-being and all-cause mortality in older Spanish adults.

PURPOSE: The aim of this paper was to analyze the effect of biomedical and psychosocial well-being, based on distinct successful aging models (SA), on time to mortality, and determine whether this effect was modified by socioeconomic status (SES) in a nationally representative sample of older Spanish adults. METHODS: Data were taken from a 3-year follow-up study with 2783 participants aged 50 or over. Vital status was ascertained using national registers or asking participants' relatives. Kaplan-Meier curves were used to estimate the time to death by SES, and levels of biomedical and psychosocial SA. Cox proportional hazard regression models were conducted to explore interactions between SES and SA models while adjusting for gender, age, and marital status. RESULTS: Lower levels of SES and biomedical and psychosocial SA were associated with low probability of survival. Only the interaction between SES and biomedical SA was significant. Biomedical SA impacted on mortality rates among individuals with low SES but not on those with medium or high SES, whereas psychosocial SA affected mortality regardless of SES. CONCLUSIONS: Promoting equal access to health care system and improved psychosocial well-being could be a protective factor against premature mortality in older Spanish adults with low SES.

The Impact of Depression on the Development of Mild Cognitive Impairment over 3 Years of Follow-Up: A Population-Based Study.

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.

The role of socio-economic status and neighborhood social capital on loneliness among older adults: evidence from the Sant Boi Aging Study.

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.

Loneliness and depression in the elderly: the role of social network.

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.

Treatment coverage for depression in the general Spanish population and the impact of the Covid-19 pandemic.

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.

Variations in sociodemographic and health-related factors are linked to distinct clusters of individuals with depression based on the PHQ-9 instrument: NHANES 2007-2018.

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.

The Association of Social Support and Loneliness with Symptoms of Depression, Anxiety, and Posttraumatic Stress during the COVID-19 Pandemic: A Meta-Analysis.

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.