Limited social support is associated with depression, anxiety, and insomnia in a Japanese working population

The mediating effect of resilience and COVID-19 anxiety on the relationship between social support and insomnia among healthcare workers: a cross-sectional study

Background

Insomnia in healthcare workers has become a topic of concern in the health system. The high infectivity and longevity of the COVID-19 pandemic have resulted in great pressure and a high incidence of insomnia among healthcare workers. Insomnia among healthcare workers has a negative impact on high-quality healthcare services in addition to their health. Thus, it's necessary to explore insomnia's underlying mechanisms.

Object

The present research's aims were threefold: explored the association between social support, resilience, COVID-19 anxiety, and insomnia among healthcare workers during the pandemic, elucidated the underlying mechanism of insomnia, and offered recommendations for improving the health of these workers.

Materials and methods

A cross-sectional design was adopted. From May 20 to 30, 2022, 1038 healthcare workers were selected to fill out the Oslo 3-item Social Support Scale, the eight-item Athens Insomnia Scale, the Coronavirus Anxiety Scale, and the Brief Resilience Scale. Descriptive statistics and correlations were analyzed by SPSS 25.0. Mediation analysis was conducted by Mplus 8.3 using 5000 bootstrap samples.

Results

Of the participating 1038 healthcare workers, the prevalence of insomnia was 41.62% (432/1038). Significant associations were found involving insomnia, resilience, COVID-19 anxiety, and social support. Insomnia was directly affected by social support. Moreover, three indirect pathways explain how social support affected insomnia: resilience's mediating role, COVID-19 anxiety's mediating role, and the chain-mediation role of resilience and COVID-19 anxiety.

Conclusion

The results validated our hypotheses and supported the opinion of Spielman et al. 's three-factor model of insomnia. Social support of healthcare workers has an indirect impact on insomnia in addition to its direct one via independent and chain-mediation effects of resilience and COVID-19 anxiety.

A multidimensional social risk atlas of depression and anxiety: An observational and genome-wide environmental interaction study

Background

Mental disorders are largely socially determined, yet the combined impact of multidimensional social factors on the two most common mental disorders, depression and anxiety, remains unclear.

Methods

We constructed a polysocial risk score (PsRS), a multidimensional social risk indicator including components from three domains: socioeconomic status, neighborhood and living environment and psychosocial factors. Supported by the UK Biobank cohort, we randomly divided 110 332 participants into the discovery cohort (60%; n = 66 200) and the replication cohort (40%; n = 44 134). We tested the associations between 13 single social factors with Patient Health Questionnaire (PHQ) score, Generalized Anxiety Disorder Scale (GAD) score and self-reported depression and anxiety. The significant social factors were used to calculate PsRS for each mental disorder by considering weights from the multivariable linear model. Generalized linear models were applied to explore the association between PsRS and depression and anxiety. Genome-wide environmental interaction study (GWEIS) was further performed to test the effect of interactions between PsRS and SNPs on the risk of mental phenotypes.

Results

In the discovery cohort, PsRS was positively associated with PHQ score (β = 0.37; 95% CI = 0.35-0.38), GAD score (β = 0.27; 95% CI = 0.25-0.28), risk of self-reported depression (OR = 1.29; 95% CI = 1.28-1.31) and anxiety (OR = 1.19; 95% CI = 1.19-1.23). Similar results were observed in the replication cohort. Emotional stress, lack of social support and low household income were significantly associated with the development of depression and anxiety. GWEIS identified multiple candidate loci for PHQ score, such as rs149137169 (ST18) (Pdiscovery = 1.08 × 10-8, Preplication = 3.25 × 10-6) and rs3759812 (MYO9A) (Pdiscovery = 3.87 × 10-9, Preplication = 6.21 × 10-5). Additionally, seven loci were detected for GAD score, such as rs114006170 (TMPRSS11D) (Pdiscovery = 1.14 × 10-9, Preplication = 7.36 × 10-5) and rs77927903 (PIP4K2A) (Pdiscovery = 2.40 × 10-9, Preplication = 0.002).

Conclusions

Our findings reveal the positive effects of multidimensional social factors on the risk of depression and anxiety. It is important to address key social disadvantage in mental health promotion and treatment.

Ist Stress am Arbeitsplatz ein Thema für den kardiologischen Alltag? Evidenz, Erkennung und Therapie aversiver Stressbedingungen im Arbeitsumfeld

In modernen Industriegesellschaften verbringen die Menschen die aktivste Zeit ihres Lebens in beruflicher Umgebung, die damit weitgehend Alltag und Lebensqualität bestimmt. Immer mehr verschwimmen die Grenzen zwischen Privatem und Beruflichem. Neben „klassischem“ Arbeitsstress – häufig definiert als Missverhältnis von hohen Anforderungen bei gleichzeitig geringen Entscheidungsmöglichkeiten oder als Missverhältnis zwischen Arbeitseinsatz und Belohnung – gehören u. a. Überarbeitung, Mobbing und Arbeitsplatzverlust sowie negative Arbeitsplatzbedingungen zu den Belastungen, die seelische und körperliche gesundheitliche Probleme auslösen können. Evidenz aus Megastudien mit > 100000 Teilnehmern belegt die Bedeutung von Arbeitsstress als Risikofaktor (RF) für Hypertonie, Schlafstörungen und Depressionen. Unter Arbeitsstress werden häufig gesundheitsgefährdende Verhaltensweisen als Kompensationsversuche eingesetzt. Andauernder Arbeitsstress wird damit zu einem signifikanten RF für ischämische Herzerkrankungen, zerebrovaskuläre Ereignisse und Diabetes mellitus. Arbeitsstress sollte daher in der kardiologischen Praxis exploriert werden. Grundzüge einer auf Arbeitsstress fokussierten Gesprächsführung für den Alltagseinsatz werden vorgestellt.