Symptoms of depression and anxiety usually co-occur and are inextricably linked to sleep disturbance. However, little is known about the symptom-to-symptom relationships among these three mental disorders. Hence, to improve our understanding of concurrent depression, anxiety, and sleep disturbance, we used the network analysis approach to construct an interplay relationship among the above three mental disorders and identify which specific symptoms bridge these aggregations. We collected data from a large sample ( N = 6710, male = 3074, female = 3636; mean age = 19.28) at a university. We estimated the symptom network structure of depression, anxiety, and sleep disturbance as assessed by the Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, and Youth Self-Rating Insomnia Scale during the COVID-19 lockdown. We further investigated four goals: first, identifying the individual core symptoms in the network by the index of “expected influence”; second, determining the bridge symptoms that play roles in linking different mental disorders by the index of bridge expected influence (1-step); third, examining the robustness of all results; and fourth, providing an overall structure that may or may not differ by sex. The network structure was stable, accurate, and predictable. Items referring to sleep dissatisfaction, poor sleep quality, and uncontrollable worry were potentially core symptoms in the interplay among depression, anxiety, and sleep disturbance. Sleep, guilt, restlessness, irritability, and feeling afraid can function as bridges among depression, anxiety, and sleep disturbance, which is clinically relevant and theoretically important. The results suggested that the network structures significantly differed between the female and male networks. Robustness tests also revealed that the results were reliable.

With the continued spread of the COVID-19 pandemic and the strict implementation of quarantine policy, the levels of anxiety among university students surged in the lockdown period. Previous studies confirmed the effectiveness of social support in mitigating anxiety, so offering social support should be of high priority in COVID-19, especially in quarantine. However, various coping strategies against the pandemic may explain the link between social support and anxiety. The purpose of this study was to investigate the associations of social support, coping strategy against COVID-19, and anxiety, identifying the potential mediating effect of coping strategy between social support and anxiety during the COVID-19 quarantine. Home-quarantined Chinese university students ( N = 2640; 68.79% female) completed online ratings of social support, coping, and anxiety from February 21st to 24th, 2020, when they had been confined to their homes in the peak of the pandemic. Sex and academic attainment being covariates, path analysis with parallel mediation were conducted using “lavaan” package in R environment. Anxiety was significantly negatively related to subjective support and counselor support, while family support did not demonstrate substantive associations with anxiety. The mediating role of cognitive coping was found between all the three social support sources and anxiety. Emotional coping and behavioral coping were found to partially mediate the relationship between subjective support and anxiety, fully mediate the associations of family support and anxiety. However, the impact of counselor support on anxiety was not found to be mediated by emotional coping and behavioral coping. This large-scale online study provides initial evidence that various coping strategies may mediate the relationship between three sources of social support and anxiety in quarantine to some extent. Given that coping against COVID-19 is a valuable reasearch goal upon the global ongoing challenge, the findings will shed more light on the mechanism in the link between coping, social support, and anxiety.

Background: With the onset of the coronavirus disease 2019 (COVID-19) pandemic at the beginning of 2020, all non-essential medical treatments were suspended, including fertility treatments. As a unique group in society, patients with infertility may be more sensitive and vulnerable in the face of pressure and crisis. However, to the best of our knowledge, there have been no reports on the influence of postponed fertility treatment on the sexual health of infertile patients owing to COVID-19. Therefore, this study aimed to investigate whether postponed fertility treatment resulting from COVID-19 affects the sexual health of patients with infertility.Methods: A total of 1,442 participants were included for analysis in this large-scale study. Those with postponed fertility treatment were categorised as group A (n = 474), whereas those whose fertility treatment was not delayed were in group B (n = 968). The sexual health and psychological well-being were compared between the two groups.Results: The total Female Sexual Function Index score and five domains of female sexual function (arousal ability, vaginal lubrication, orgasm, satisfaction, and coital pain) were significantly lower in group A than those in group B (p < 0.05). The International Index of Erectile Dysfunction score and Premature Ejaculation Diagnostic Tool score were significantly higher in group A than those in group B (p < 0.05).Conclusions: Delaying fertility treatment obviously affects patients' sexual and mental health. Through a structural equation model, we observed that postponed fertility treatment mediates sexual health by regulating psychological distress and couple relationship quality.

Purpose This study aimed to explore the perceived changes in sexual behaviour during COVID-19 lockdown, anxiety symptoms, and couple relationship of patients with infertility. Methods We performed an observational cross-sectional study between 20 November 2020 and 15 January 2021. We used stratified analysis of different stress levels and Quality of Marriage Index (QMI) scores to compare the perceived changes in sexual behaviour, anxiety symptoms, and couple relationship. The logistic regression model was performed to assess factors correlated with couples’ relationship quality during the lockdown. Furthermore, we performed pathway analyses to assess whether the changes in sexual behaviour, stress level, or psychological anxiety during the lockdown could predict the quality of couple relationship. Results A total of 940 patients with infertility were included in this study. When we conducted a stratified analysis of the participants, significant differences were found between the changes in their sexual behaviour, stress levels, and couple relationship quality. The logistic regression model showed that sex, anxiety symptoms, decreased sexual satisfaction, sexual activity frequency, and income levels were closely related to couple relationship quality. Pathway analyses indicated that changes in their sexual behaviour, anxiety symptoms, and stress levels could all predict the quality of couple relationship. Conclusions The perceived changes in sexual behaviour with different stress levels and couple relationship quality showed significant differences. Analysing the related factors that affect the quality of couple relationship, especially in times of crisis, is of great significance as this information can contribute to the improvement of treatment for patients with infertility. Supplementary Information The online version contains supplementary material available at 10.1007/s10815-021-02361-4.

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BackgroundBesides physical changes, elderly adults are prone to have mental disorders such as anxiety, depression, and sleep disturbance, and the pandemic of COVID-19 worsened the situation. However, internal relationships and co-occurrence of psychopathologies were scarcely examined. Therefore, in the current study, through network analysis, we inspected relationships among symptoms of depression, anxiety, and sleep disturbance and identified key symptoms that espoused the disease.MethodsWe asked 1,302 elderly adults to fill in Patient Health Questionnaire-2 (depressive symptoms), the Generalized Anxiety Disorder-2 (anxiety symptoms), and the Youth Self-rating Insomnia Scale (sleep disturbance) and then constructed three networks for elderly adults, male elderly, and female elderly. Via network analysis, we accomplished four goals. First, we identified symptom with the highest centrality (i.e., strength) index for each network; then, we found the strongest correlation (i.e., edges) in each network; thirdly, we confirmed specific nodes that could bridge anxiety, depression, and sleep disturbance; the last was to compare networks based on genders. Network stability and accuracy tests were performed.ResultsNetworks of elderly adults, male elderly, and female elderly were stable, accurate, and intelligible. Among all networks, “Nervousness”- “Excessive worry” (GAD-1- GAD-2) had the strongest correlation, and “Nervousness” (GAD-1) had the highest strength and bridge strength value. When we made a comparison between female elderly's and male elderly's networks, except for the significant difference in the mean value of “Difficulty initiating sleep” (YSIS-3), the findings showed that the two networks were similar. Network stability and accuracy proved to be reliable.ConclusionsIn networks of anxiety, depression, and sleep disturbance, anxiety played a conspicuous role in comorbidity, which could be a target for practical intervention and prevention.

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