Effects of depression on employment and social outcomes: a Mendelian randomisation study

Association between social media use and depressive symptoms in middle-aged and older Chinese adults

The burden of depressive symptoms among middle-aged and older Chinese during the COVID-19 pandemic is unclear, and the contribution of social media use to depressive symptoms in this population has not been studied. To address the gaps, we analyzed data from the China Health and Retirement Longitudinal Study, nationally representative biannual surveys among adults aged ≥45 years. Social media use and depressive symptoms were measured in the 2018 and 2020 surveys. We tested longitudinal associations between baseline (2018) social media activities and risk of depressive symptoms in two years among 9121 participants without depressive symptoms. We also evaluated whether social media activity could reduce depressive symptoms during this period among 5302 individuals with depressive symptoms at baseline. Depressive symptoms affected 36·0% of this population in 2020. Women, individuals living in rural areas, and residents of western China provinces were particularly affected. Among participants without depressive symptoms, engaging in social media activities at baseline was associated with a 24.0% (95% confidence interval [CI]: 10-36%) lower likelihood of developing depressive symptoms over the next two years. Among depressed participants, compared to individuals not using social media, those initiating three or more social media activities during this period had 1.24 (95% CI: 1.05-1.46) times higher chance of becoming non-depressed, and those using social media all the time were 1·36 (95% CI: 1·09-1·72) times more likely to become non-depressed. In conclusion, middle-aged and older Chinese adults have a substantial burden of depressive symptoms, and social media activities may help to prevent and reduce the symptoms.

The bidirectional relationships of optimism and pessimism with depressive symptoms in adulthood - A 15-year follow-up study from Northern Finland Birth Cohorts

BACKGROUND

Low optimism and high pessimism have predicted depressive symptoms in several studies, but the associations in the other direction, from depressive symptoms to future optimism and pessimism, have been unexplored. We examined bidirectional associations of optimism and pessimism with depressive symptoms in adulthood.

METHODS

A population-based sample of 4011 Finnish adults (55 % women) was analyzed with a 15-year prospective follow-up period from age 31 to age 46. Optimism and pessimism were measured with the Life Orientation Test-Revised, and depressive symptoms were measured with the Symptom Checklist-25. Temporal associations were investigated with cross-lagged panel models.

RESULTS

According to the model fit indices (RMSEA < 0.04, CFI ≥ 0.97) optimism and pessimism had bidirectional relationships with depressive symptoms: optimism predicted lower depressive symptoms (β = -0.09, p < .001), and depressive symptoms predicted lower optimism (β = -0.10, p < .001) in the follow-up. Also, pessimism predicted higher depressive symptoms (β = 0.08, p < .001), and depressive symptoms predicted higher pessimism (β = 0.09, p < .001) in the follow-up. In the participants with clinically high depressive symptoms at age 31, the predictive associations from optimism and pessimism to depressive symptoms remained, but associations in the other direction were attenuated.

LIMITATIONS

The follow-up study included only two time points with a 15-year time gap, which does not consider the possible fluctuation in the study variables between the measured times.

CONCLUSION

Dispositional optimism and pessimism may have bidirectional relationships with depressive symptoms in adulthood when the baseline depressive symptoms are below the clinical level.

Investigating the impact of poverty on mental illness in the UK Biobank using Mendelian randomization

It is unclear whether poverty and mental illness are causally related. Using UK Biobank and Psychiatric Genomic Consortium data, we examined evidence of causal links between poverty and nine mental illnesses (attention deficit and hyperactivity disorder (ADHD), anorexia nervosa, anxiety disorder, autism spectrum disorder, bipolar disorder, major depressive disorder, obsessive-compulsive disorder, post-traumatic stress disorder and schizophrenia). We applied genomic structural equation modelling to derive a poverty common factor from household income, occupational income and social deprivation. Then, using Mendelian randomization, we found evidence that schizophrenia and ADHD causally contribute to poverty, while poverty contributes to major depressive disorder and schizophrenia but decreases the risk of anorexia nervosa. Poverty may also contribute to ADHD, albeit with uncertainty due to unbalanced pleiotropy. The effects of poverty were reduced by approximately 30% when we adjusted for cognitive ability. Further investigations of the bidirectional relationships between poverty and mental illness are warranted, as they may inform efforts to improve mental health for all.

The relationship between depression and relative fat mass (RFM): A population-based study

BACKGROUND

Relative fat mass (RFM) is a novel indicator for measuring body fat. The relationship between RFM and depression was explored using National Health and Nutrition Examination Survey (NHANES) data from 2005 to 2018.

METHODS

A general statistical description of the population included in the study was performed, and logistic analyses were used to explore the association between body mass index (BMI), waist circumference (WC), RFM and depression. Sensitivity analyses and restricted cubic spline (RCS) were also conducted to investigate the association between RFM and depression.

RESULTS

A total of 28,836 participants were included in the study. In multivariate models, all obesity indices were associated with depression (P < 0.001). An increase of 1 SD in BMI, WC, and RFM was associated with a respective increased risk of depression of 2.3 %, 1.0 %, and 3.3 %. Excluding those taking antidepressants, the risk of depression was OR 1.88 (95 % CI: 1.26-2.79) for those with RFM in the highest quartile compared with those in the lowest quartile. After Inverse probability of weighting (IPW), the risk of depression in individuals with RFM in the highest quartile compared with individuals in the lowest quartile was 2.62 (95 % CI: 2.21-3.09). The RCS showed a possible nonlinear relationship between RFM and depression.

CONCLUSIONS

RFM is associated with depression, suggesting that attention to RFM may be helpful for depression research.

Long COVID and financial outcomes: evidence from four longitudinal population surveys

BACKGROUND

Long-term sequelae of COVID-19 (long COVID) include muscle weakness, fatigue, breathing difficulties and sleep disturbance over weeks or months. Using UK longitudinal data, we assessed the relationship between long COVID and financial disruption.

METHODS

We estimated associations between long COVID (derived using self-reported length of COVID-19 symptoms) and measures of financial disruption (subjective financial well-being, new benefit claims, changes in household income) by analysing data from four longitudinal population studies, gathered during the first year of the pandemic. We employed modified Poisson regression in a pooled analysis of the four cohorts adjusting for a range of potential confounders, including pre-pandemic (pre-long COVID) factors.

RESULTS

Among the 20 112 observations across four population surveys, 13% reported having COVID-19 with symptoms that impeded their ability to function normally-10.7% had such symptoms for <4 weeks (acute COVID-19), 1.2% had such symptoms for 4-12 weeks (ongoing symptomatic COVID-19) and 0.6% had such symptoms for >12 weeks (post-COVID-19 syndrome). We found that post-COVID-19 syndrome was associated with worse subjective financial well-being (adjusted relative risk ratios (aRRRs)=1.57, 95% CI=1.25, 1.96) and new benefit claims (aRRR=1.79, CI=1.27, 2.53). Associations were broadly similar across sexes and education levels. These results were not meaningfully altered when scaled to represent the population by age.

CONCLUSIONS

Long COVID was associated with financial disruption in the UK. If our findings reflect causal effects, extending employment protection and financial support to people with long COVID may be warranted.

Association Between Retirement Age and Incidence of Depressive Disorders: A 19-Year Population-Based Study

OBJECTIVE

To investigate the occurrence of depressive disorders spanning the transition to retirement, and explore the relationship between retirement age and depressive disorders.

METHODS

We utilized a national population-based health insurance database encompassing 2 million Taiwanese individuals from 2000 to 2019. The study focused on individuals aged 50 years and older who were employed at the baseline, and 84,224 individuals had records of retirement during the follow-up period. Depressive disorders were identified using codes from the International Classification of Diseases. To assess the trend in the incidence of depressive disorders 7-year period before and after retirement, an interrupted time series analysis was performed. Cox-proportional hazard models were employed to investigate the association between retirement age and the occurrence of depressive disorders following retirement.

RESULTS

The incidence of depression peaks at the time of retirement and shows a significant decrease after retirement. Incidence of depressive disorders was 6.4 and 7.6 per 1000 person-years among individuals who retired between the ages of 60-64 and 65-69. Comparing the two groups, those who retired between 65 and 69 exhibits a higher risk of developing depressive disorders (hazard ratio = 1.10, 95% confidence interval = 1.02-1.18). This association is particularly pronounced among women and individuals residing in areas with low urbanization levels.

CONCLUSION

Retirement marks a crucial life milestone accompanied by a peak in depressive disorders. It is important to address the higher risk of depression associated with late retirement among socially disadvantaged groups.

Major Depressive Disorder and Gut Microbiota: Role of Physical Exercise

Major depressive disorder (MDD) has a high prevalence and is a major contributor to the global burden of disease. This psychiatric disorder results from a complex interaction between environmental and genetic factors. In recent years, the role of the gut microbiota in brain health has received particular attention, and compelling evidence has shown that patients suffering from depression have gut dysbiosis. Several studies have reported that gut dysbiosis-induced inflammation may cause and/or contribute to the development of depression through dysregulation of the gut-brain axis. Indeed, as a consequence of gut dysbiosis, neuroinflammatory alterations caused by microglial activation together with impairments in neuroplasticity may contribute to the development of depressive symptoms. The modulation of the gut microbiota has been recognized as a potential therapeutic strategy for the management of MMD. In this regard, physical exercise has been shown to positively change microbiota composition and diversity, and this can underlie, at least in part, its antidepressant effects. Given this, the present review will explore the relationship between physical exercise, gut microbiota and depression, with an emphasis on the potential of physical exercise as a non-invasive strategy for modulating the gut microbiota and, through this, regulating the gut-brain axis and alleviating MDD-related symptoms.

Dosage, time, and polytherapy dependent effects of different levetiracetam regimens on cognitive function

OBJECTIVE

Cognitive impairment is a potential drawback of antiseizure medications. This study aimed to evaluate the impact of different levetiracetam drug regimens on cognitive function.

METHODS

A retrospective analysis identified 221 patients diagnosed with seizures who underwent cognitive screening. Patients were categorized into four groups: no medications, non-levetiracetam medications, high and low dose levetiracetam. Composite scores determined low and high levetiracetam groups whereby one point was added for each increment in dosage, duration since uptake, and concurrent anti-seizure medication. Variables known to affect cognition were recorded and classified as demographic, seizure-related, diagnosis-related, and psychopathology. Logistic regression was used to identify variables associated with cognitive scores below cut-off.

RESULTS

Multivariable analysis found being male, non-active in the community, less than 12 years of education, left temporal lobe epilepsy, high seizure frequency, and depression were associated with poor cognitive performance. In a final regression analysis, the high levetiracetam group exhibited a 4.5-fold higher likelihood of scoring below cut-off than the medication-free group (OR 4.5, CI 1.5-13.6, p<.08). Depression (OR 2.1, CI 1.1-3.9, p<.03), being male (OR 2.2, CI 1.1-4.3, p<.02), and not being active in the community (OR 3.8, 1.6-8.7, p <.003) remained significant contributors to the model. Language (p<.05), attention (p<.05), and delayed recall (p<.001) were the most affected cognitive domains.

SIGNIFICANCE

When taken in small doses, for brief periods as monotherapy, levetiracetam minimally influences cognition. At higher doses, as part of long-term seizure management, in conjunction with multiple ASMs, LEV is associated with cognitive impairment.

Identifying the mediating role of socioeconomic status on the relationship between schizophrenia and major depressive disorder: a Mendelian randomisation analysis

Depressive disorder prevalence in patients with schizophrenia has been reported to be 40%. People with low socioeconomic status (SES) are more likely to suffer from schizophrenia and major depressive disorder (MDD). However, the causal relationship between schizophrenia and depression and the potential mediating role of SES remains unclear. Two-sample Mendelian randomization (MR) analyses were conducted to explore the bidirectional causal relationship between schizophrenia and MDD with the largest sample size of European ancestry from public genome-wide association studies (sample size ranged from 130,644 to 480,359). Inverse variance weighted (IVW) method was used as the primary analysis, and several canonical MR methods were used as validation analyses. The mediating role of SES (educational years, household income, employment status, and Townsend deprivation index) was estimated by the two-step MR method. MR analyses showed that genetically predicted schizophrenia was associated with an increased risk of MDD (IVW odds ratio [OR] = 1.137 [95% CI 1.095, 1.181]). Reversely, MDD was also associated with an increased risk of schizophrenia (IVW OR = 1.323 [95% CI 1.118, 1.565]). The mediation analysis via the two-step MR method revealed that the causal effect of schizophrenia on MDD was partly mediated by the Townsend deprivation index with a proportion of 10.27%, but no significant mediation effect was found of SES on the causal effect of MDD on schizophrenia. These results suggest a robust bidirectional causal effect between schizophrenia and MDD. Patients with schizophrenia could benefit from the early and effective intervention of the Townsend deprivation index.

Major depressive disorder

Major depressive disorder (MDD) is characterized by persistent depressed mood, loss of interest or pleasure in previously enjoyable activities, recurrent thoughts of death, and physical and cognitive symptoms. People with MDD can have reduced quality of life owing to the disorder itself as well as related medical comorbidities, social factors, and impaired functional outcomes. MDD is a complex disorder that cannot be fully explained by any one single established biological or environmental pathway. Instead, MDD seems to be caused by a combination of genetic, environmental, psychological and biological factors. Treatment for MDD commonly involves pharmacological therapy with antidepressant medications, psychotherapy or a combination of both. In people with severe and/or treatment-resistant MDD, other biological therapies, such as electroconvulsive therapy, may also be offered.

Prognostic factors for employment outcomes in patients with a history of childhood-onset drug-resistant epilepsy

Objective

The employment outcomes of childhood-onset drug-resistant epilepsy (DRE) has not been studied enough. The aim of this retrospective cohort study is to investigate the employment outcomes of childhood-onset DRE in June 2022 and identify the risk factors associated with non-employment.

Materials and methods

The sample consisted of 65 participants ≥18 years of age with a history of childhood-onset DRE. Fifty participants (77%) were salaried employees and 15 participants (23%) were non-employed. Clinical and psychosocial information were evaluated for calculating the relative risk (RR) of non-employment.

Results

Regarding medical factors, lower IQ [RR, 0.645; 95% confidence interval (CI), 0.443-0.938; p = 0.022] was positively associated with employment. In contrast, age at follow-up (RR, 1.046; 95% CI, 1.009-1.085; p = 0.014); number of ASMs at follow-up (RR, 1.517; 95% CI, 1.081-2.129; p = 0.016); use of medications such as phenobarbital (RR, 3.111; 95% CI, 1.383-6.997; p = 0.006), levetiracetam (RR, 2.471; 95% CI, 1.056-5.782; p = 0.037), and topiramate (RR, 3.576; 95% CI, 1.644-7.780; p = 0.001) were negatively associated with employment. Regarding psychosocial factor, initial workplace at employment support facilities (RR, 0.241; 95% CI, 0.113-0.513; p < 0.001) was positively associated with employment. In contrast, complication of psychiatric disorder symptoms (RR, 6.833; 95% CI, 2.141-21.810; p = 0.001) was negatively associated with employment. Regarding educational factor, graduating schools of special needs education (RR, 0.148; 95% CI, 0.061-0.360; p < 0.001) was positively associated with employment.

Conclusions

Specific medical, psychosocial, and educational factors may influence the employment outcomes of childhood-onset DRE. Paying attention to ASMs' side effects, adequately preventing the complications of psychiatric disorder symptoms, and providing an environment suitable for each patient condition would promote a fine working status for people with childhood-onset DRE.

Change of employment status in patients with depression - A longitudinal study using national claims data

Depression increases an individual's risk of work disability, sick leave, unemployment, and early retirement. This population-based study identified 3673 depressive patients utilizing national claim data from Taiwan and aimed to investigate changes in employment status among depressive patients, compared to matched controls, with the longest observation of up to 12 years. This study found depressive patients had an adjusted hazard ratio of 1.24 for changing to non-income earners compared to controls. Moreover, younger age, lower payroll bracket, urbanity, and geographical area were associated with increased risk among patients with depression. Despite these increased risks, most depressive patients remained employed.

An Interim Analysis of a Randomized, Open-Label Study of Vilazodone, Escitalopram, or Vortioxetine for Major Depressive Disorder

INTRODUCTION

The troubling issues of conventional antidepressants are inadequate disease remission and potential adverse effects. There is a dearth of research findings comparing vilazodone, escitalopram, and vortioxetine. The objective of this analysis is to determinechanges in the Hamilton Depression Rating Scale (HDRS) and Montgomery-Åsberg Depression Rating Scale (MADRS) scoresand the incidence of adverse events at 12 weeks.

METHODS

This is an exploratory interim analysis of a randomized, three-arm, open-label ongoing study. The participants were randomly assigned in a 1:1:1 ratio to receive either vilazodone (20-40 mg/d), escitalopram (10-20 mg/d), or vortioxetine (5-20 mg/d). Efficacy and safety assessments were done at baseline, four weeks, eight weeks, and 12 weeks.

RESULTS

Forty-nine(69%) of the 71 enrolled participants (mean age 43.9±12.2 years; 37 men (52%)) completed the 12-week follow-up. At baseline, the three groups' median HDRS scores were 30.0, 29.5, and 29.0 (p=0.76), respectively, and at 12 weeks, they amounted to 19.5, 19.5, and 18.0 (p=0.18), respectively. At baseline, group-wise median MADRS scores were 36, 36, and 36, respectively (p=0.79); at 12 weeks, they were 24, 24, and 23, respectively (p=0.03). In the post-hoc analysis, the inter-group comparison of the change in HDRS (p = 0.02) and MADRS (p = 0.06) scores from baseline did not reach statistical significance. No participants experienced serious adverse events.

CONCLUSION

In this initial assessment of a continuing study, vortioxetine exhibited a clinically (not statistically) significant drop in HDRS and MADRS scores, compared to vilazodone and escitalopram. The antidepressant effects need to be investigated further.

Social relationship satisfaction and accumulation of chronic conditions and multimorbidity: a national cohort of Australian women

Background

Social relationships are associated with mortality and chronic conditions. However, little is known about the effects of social relationship satisfaction on multiple chronic conditions (multimorbidity).

Aims

To examine whether social relationship satisfaction is associated with the accumulation of multimorbidity.

Methods

Data from 7 694 Australian women who were free from 11 chronic conditions at 45-50 years of age in 1996 were analysed. Five types of social relationship satisfaction (partner, family members, friends, work and social activities) were measured approximately every 3 years and scored from 0 (very dissatisfied) to 3 (very satisfied). Scores from each relationship type were summed to provide an overall satisfaction score (range: ≤5-15). The outcome of interest was the accumulation of multimorbidity in 11 chronic conditions.

Results

Over a 20-year period, 4 484 (58.3%) women reported multimorbidities. Overall, the level of social relationship satisfaction had a dose-response relationship with the accumulation of multimorbidities. Compared with women reporting the highest satisfaction (score 15), women with the lowest satisfaction (score ≤5) had the highest odds of accumulating multimorbidity (odds ratio (OR)= 2.35, 95% confidence interval (CI): 1.94 to 2.83) in the adjusted model. Similar results were observed for each social relationship type. Other risk factors, such as socioeconomic, behavioural and menopausal status, together explained 22.72% of the association.

Conclusions

Social relationship satisfaction is associated with the accumulation of multimorbidity, and the relationship is only partly explained by socioeconomic, behavioural and reproductive factors. Social connections (eg, satisfaction with social relationships) should be considered a public health priority in chronic disease prevention and intervention.

Maternal genetic risk for depression and child human capital

We here address the causal relationship between the maternal genetic risk for depression and child human capital using UK birth-cohort data. We find that an increase of one standard deviation (SD) in the maternal polygenic risk score for depression reduces their children's cognitive and non-cognitive skill scores by 5 to 7% of a SD throughout adolescence. Our results are robust to a battery of sensitivity tests addressing, among others, concerns about pleiotropy and dynastic effects. Our Gelbach decomposition analysis suggests that the strongest mediator is genetic nurture (through maternal depression itself), with genetic inheritance playing only a marginal role.