Socio-economic consequences of mental distress: quantifying the impact of self-reported mental distress on the days of incapacity to work and medical costs in a two-year period: a longitudinal study in Germany

The impact of food insecurity on mental health among older adults residing in low- and middle-income countries: A systematic review

Over the past few years, food insecurity has been increasing globally due to the COVID-19 pandemic, climate change, economic downturns and conflict and a number of other intersecting factors. Older adults residing in low- and middle-income countries are more vulnerable to food insecurity. While the impacts of food insecurity on physical health outcomes have been thoroughly researched, the effect on mental health outcomes remains under-researched, especially among older adults. Hence, this systematic review aims to investigate existing literature to assess how food insecurity impacts the mental health of older persons residing in LMICs. A systematic search of six databases and Google for studies was conducted. The search was limited to studies written in English and published between 2000 to the present. We identified 725 studies, out of which 40 studies were selected for a full-text review and 12 studies were included for a final analysis. The significant finding in all the included studies was that food insecurity is associated with the worsening mental health of older adults. We also found a complex interplay of factors such as gender, age, rural/urban and health conditions associated with the aggravation of several mental health outcomes. The findings of this study illuminate the need for improved food programs to improve food security and, consequently, mental health among older adults.

Development, piloting and evaluation of an app-supported psychosocial prevention intervention to strengthen participation in working life: a study protocol of a mixed-methods approach

INTRODUCTION

Rates of incapacity to work due to mental disorders have increased in many European countries. The consequences of persistent stress can impact individuals' physical and psychological well-being and gradually develop into chronic stress. Mental disorders or symptoms of burn-out syndrome can have severe consequences. Mental disorders leading to work incapacity significantly burden the health system. Prevention interventions can protect against burn-out, depression, anxiety and other mental health disorders. Digital health is a promising approach to increase the utilisation of effective prevention interventions. This mixed-methods study evaluates a newly developed app-supported psychosocial prevention intervention called 'RV Fit Mental Health' to strengthen participation in working life.

METHODS AND ANALYSIS

The study uses a three-stage parallel mixed-methods design. This study accompanies the development (stage 1), piloting (stage 2) and evaluation (stage 3) of the new intervention. Within the stages, there is a quantitative as well as a qualitative research strand. Employed persons with an incipient mental disorder will be included. Additionally, experts within the project or connected areas will be included. Quantitative data will be analysed using multifactorial variance analyses in a pre-post design. Qualitative data will be analysed using qualitative content analysis. The study is a comprehensive research approach to investigate the development, piloting and evaluation of an app-supported psychosocial app-based prevention intervention. The rigour of the study will be achieved through data triangulation.

ETHICS AND DISSEMINATION

All participants will receive detailed study information and give written informed consent before data collection. Ethical approval was obtained from the Technical University of Munich Ethics Committee. All data collection will follow all legislative rules regarding data protection, also following the Declaration of Helsinki. The study results will be disseminated in peer-reviewed journals and presented at international conferences.

TRIAL REGISTRATION NUMBERS

DRKS00030818 and DRKS00033080.

Determinants of the intention to seek psychotherapeutic consultation at work - a cross-sectional study in Germany

BACKGROUND

Psychotherapeutic consultation at work (PT-A) provides employees with mental illnesses or subclinical symptoms a short-term and low-threshold access to psychotherapeutic care. However, practical experience shows that the utilisation rate seems low compared to expected demand. Therefore, this study aimed to identify determinants of utilisation by exploring associations between sociodemographic characteristics, psychological well-being, stigma-related barriers and psychosocial safety climate and the intention to seek PT-A.

METHODS

Within a cross-sectional study, 658 participants were recruited via various social media channels in Germany. Participants answered an online questionnaire on potential determinants of (1) intention to seek PT-A in general and of intention to seek PT-A to specifically discuss (2) occupational burden and (3) private burden. Multiple ordinal regression analyses were conducted for the whole study sample and for the subgroups of participants screened positive and negative for current depression.

RESULTS

Lower stigma-related barriers were associated with higher general intention to seek PT-A among all study groups. Lower psychological well-being was associated with higher general intention to seek PT-A and with higher intention to seek PT-A to discuss occupational and private burden, but only so in the subgroup of employees who were screened negative for current depression. Treatment experience was associated with higher intention to seek PT-A for occupational burden among participants screened negative but not among participants screened positive for current depression. No associations were found between age, gender, education or psychosocial safety climate and any variable of intention to seek PT-A.

CONCLUSION

Those results give an overview on potential determinants for the intention to seek PT-A, but future research with longitudinal designs is needed to confirm that those factors also determine actual utilisation of PT-A. Based on the results, practical implications might include antistigma campaigns and promotion of PT-A adapted to the aims of the consultation.

Increased risk of incident atrial fibrillation in young adults with mental disorders: A nationwide population-based study

BACKGROUND

Mental disorders and cardiovascular diseases are closely related. However, a paucity of information on the risk of incident atrial fibrillation (AF) in patients with mental disorders exists.

OBJECTIVE

We aimed to assess the association between mental disorders and the risk of AF, particularly in young adults.

METHODS

Using the Korean National Health Insurance Database between 2009 and 2012, we identified adults aged 20-39 years without a history of AF and who have been diagnosed with mental disorders. Mental disorders were defined as having one of the following diagnoses: depression, insomnia, anxiety disorder, bipolar disorder, or schizophrenia. The primary outcome was new-onset AF during follow-up.

RESULTS

A total of 6,576,582 subjects (mean age 30.9 ± 5.0 years; 3,919,339 [59.6%] men) were included. Among the total population, 10% had mental disorders. During the follow-up period, 8932 incident AF events occurred. Patients with mental disorders showed a higher AF incidence than did those without (25.4 per 100,000 person-years vs 17.7 per 100,000 person-years). After multivariable adjustment, mental disorders were associated with a significantly higher risk of AF (adjusted hazard ratio 1.526; 95% confidence interval 1.436-1.621). Patients with bipolar disorder or schizophrenia had a 2-fold higher risk of AF and those with depression, insomnia, and anxiety disorder had a 1.5- to 1.7-fold higher risk of AF than did those without mental disorders.

CONCLUSION

Young adults diagnosed with mental disorders have a higher risk of incident AF. Awareness for AF in high-risk populations should thus be considered.

Effects of Fish-Oil Consumption on Psychological Function Outcomes in Psychosis: A Systematic Review and Dose-Response Meta-Analysis of Randomized Controlled Trials

Research on the effects of fish oil on clinical symptoms and psychosocial functioning in people with psychosis has been inconsistent. We conducted this systematic review and meta-analysis to summarize the available data on the effects of oral intake of fish oil on psychological functioning in patients with psychosis. Three online databases including PubMed, Scopus, and Web of Science were searched to identify relevant studies published by April 2021. The exposure was oral fish-oil supplementation. The Positive and Negative Syndrome Scale (PANSS), the Brief Psychiatric Rating Scale (BPRS), and the Global Assessment of Functioning (GAF) were our outcome measures. Seventeen randomized clinical trials involving 1390 patients were included. No change in PANSS was observed following oral fish-oil intake [weighted mean difference (WMD): -0.87; 95% CI: -16.99, 15.26; P = 0.92]. In a nonlinear dose-response analysis, a significant inverse association was observed between <10 wk of fish-oil supplementation and PANSS (WMD: -10; P-nonlinearity = 0.02). Although analysis of 4 studies showed a nonsignificant reduction in BPRS after fish-oil intake (WMD: -2.990; 95% CI: -6.42, 0.44; P = 0.08), a nonlinear dose-response analysis revealed significant inverse associations between dose (>2200 mg/d) and duration of fish-oil supplementation (<15 wk) with BPRS score (WMD: -8; P-nonlinearity = 0.04). Combined effect sizes from 6 randomized clinical trials showed significant increases in GAF after oral administration of fish oil (WMD: 6.66; 95% CI: 3.39, 9.93; P < 0.001). In conclusion, we did not find any significant changes in PANSS and BPRS scores following fish-oil supplementation. Nevertheless, oral fish-oil intake significantly contributed to improvement in GAF scores. This is the first meta-analysis to examine the effects of fish oil on the psychological functioning scores of PANSS, BPRS, and GAF simultaneously.

[Psychological Stress and its Consequences for the Cost of Illness: a Longitudinal Study in Germany]

OBJECTIVE

The aim of this study was to examine the effects of mental illness on the level and composition of medical costs (outpatient costs, hospital costs, rehabilitation costs, drug costs) over time.

METHOD

In a longitudinal design, we examined the psychological distress of 3,287 study participants from the adult general population using the Hospital Anxiety and Depression Scale (HADS) and its effect on the level and composition of medical costs resulting from mental illness in the year of survey t0 and the two subsequent years [t1] {t2}.

RESULTS

Compared to the reference group with no mental distress, the cost of illness was significantly increased by a factor of 2.0 [2.2] {1.5} in the low mental distress group, by a factor of 3.7 [4.2] {3.1} in those with moderate mental distress, and by a factor of 7.5 [9.0] {5.2} in those with severe mental distress. Over time, significant effects on illness costs appeared only at the two outer edges of psychological distress levels (no and severe distress levels). As the level of mental distress increased, hospital costs dominated total costs due to mental distress and the proportion of outpatient medical costs in total costs decreased.

CONCLUSIONS

The costs of illness rise steeply with the degree of mental stress. Preventing the progression of mental illness is therefore important not only from an individual but also from a health economic perspective.

The Multi-Sites Trial on the Effects of Therapeutic Gardening on Mental Health and Well-Being

Although many people affected by COVID-19 suffer from some form of psychological distress, access to proper treatment or psychosocial interventions has been limited. This study aimed to examine the feasibility and preliminary effects of a therapeutic gardening program conducted during the COVID-19 pandemic. The program consisted of 30 sessions and was conducted at 10 nationwide sites in Korea from June to November 2021. Mental health and well-being were assessed using the Mental Health Screening Tool for Depressive Disorders, Mental Health Screening Tool for Anxiety Disorders, Engagement in Daily Activity Scale, brief version of World Health Organization Quality of Life, and Mindful Attention Awareness Scale. Cohen’s d value was calculated for the effect size, and a multilevel analysis was used to determine the longitudinal effects of therapeutic gardening. The effect sizes for depression, anxiety, daily activities, quality of life, and mindfulness were 0.84, 0.72, 0.61, 0.64, and 0.40, respectively. Multilevel analyses showed that all five mental health variables improved significantly over time as the therapeutic gardening program progressed. Therapeutic gardening is promising and applicable as a nature-based intervention to improve the mental health of individuals experiencing psychological distress especially in the COVID-19 pandemic.

Smart Homes as Enablers for Depression Pre-Diagnosis Using PHQ-9 on HMI through Fuzzy Logic Decision System

Depression is a common mental illness characterized by sadness, lack of interest, or pleasure. According to the DSM-5, there are nine symptoms, from which an individual must present 4 or 5 in the last two weeks to fulfill the diagnosis criteria of depression. Nevertheless, the common methods that health care professionals use to assess and monitor depression symptoms are face-to-face questionnaires leading to time-consuming or expensive methods. On the other hand, smart homes can monitor householders’ health through smart devices such as smartphones, wearables, cameras, or voice assistants connected to the home. Although the depression disorders at smart homes are commonly oriented to the senior sector, depression affects all of us. Therefore, even though an expert needs to diagnose the depression disorder, questionnaires as the PHQ-9 help spot any depressive symptomatology as a pre-diagnosis. Thus, this paper proposes a three-step framework; the first step assesses the nine questions to the end-user through ALEXA or a gamified HMI. Then, a fuzzy logic decision system considers three actions based on the nine responses. Finally, the last step considers these three actions: continue monitoring through Alexa and the HMI, suggest specialist referral, and mandatory specialist referral.