Multimorbidity study with different levels of depression status

Prevalence and associated factors of secondary traumatic stress in emergency nurses: a systematic review and meta-analysis

Background: Nurses in emergency departments are at a high risk of experiencing secondary traumatic stress because of their frequent exposure to trauma patients and high-stress environments.Objective: This systematic review and meta-analysis aimed to determine the overall prevalence of secondary traumatic stress among emergency nurses and to identify the contributing factors.Method: We conducted a systematic search for cross-sectional studies in databases such as PubMed, Web of Science, Embase, CINAHL, Wanfang Database, and China National Knowledge Internet up to October 21, 2023. The Joanna Briggs Institute's appraisal checklists for prevalence and analytical cross-sectional studies were used for quality assessment. Heterogeneity among studies was assessed using Cochrane's Q test and the I2 statistic. A random effects model was applied to estimate the pooled prevalence of secondary traumatic stress, and subgroup analyses were performed to explore sources of heterogeneity. Descriptive analysis summarized the associated factors.Results: Out of 345 articles retrieved, 14 met the inclusion criteria, with 11 reporting secondary traumatic stress prevalence. The pooled prevalence of secondary traumatic stress among emergency nurses was 65% (95% CI: 58%-73%). Subgroup analyses indicated the highest prevalence in Asia (74%, 95% CI: 72%-77%), followed by North America (59%, 95% CI: 49%-72%) and Europe (53%, 95% CI: 29%-95%). Nine studies identified associated factors, including personal, work-related, and social factors. In the subgroup of divided by recruitment period, emergency department nurses in the COVID-19 outbreak period had a higher prevalence of secondary traumatic stress (70%, 95% CI: 62%-78%).Conclusions: Secondary traumatic stress prevalence is notably high among emergency department nurses, with significant regional variations and period differences. The factors affecting secondary traumatic stress also varied across studies. Future research should focus on improving research designs and sample sizes to pinpoint risk factors and develop prevention strategies.Registration: PROSPERO CRD42022301167.

Emotional distress and multimorbidity patterns in Chinese Han patients with osteoporosis: a network analysis

With the aging of the population, the prevalence of osteoporosis and multimorbidity is increasing. Patients with osteoporosis often experience varying levels of emotional distress, including anxiety and depression. However, few studies have explored the patterns of multiple conditions and their impact on patients' emotional distress. Here, we conducted a network analysis to explore the patterns of multimorbidities and their impact on emotional distress in 13,359 Chinese Han patients with osteoporosis. The results showed that multimorbidity was prevalent in Chinese patients with osteoporosis and increased with age, and was more frequent in males than in females, with the most common pattern of multimorbidity being osteoporosis and essential (primary) hypertension. Finally, we found that patients' emotional distress increased with the number of multimorbidities, especially in female patients, and identified eight multimorbidities with high correlation to patients' emotional distress.

Depressive symptoms, alone or together with physical comorbidity, are predictive of healthcare use and spending in older adults

OBJECTIVE

Depressive symptoms and physical comorbidity are common health problems in older adults and are both posing increasingly considerable challenges to global healthcare systems. This study investigated the relationships of depressive symptoms, alone or together with physical comorbidity, with healthcare utilization and spending among older adults, as well as examined sex differences.

METHODS

We used data of the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2018 and enrolled 6519 participants. Depressive symptoms was operationalized following the Center for Epidemiological Studies Depression Scale and physical comorbidity was assessed according to the presence of 11 physical non-communicable diseases. The relationships of depressive symptoms and comorbidity with healthcare outcomes were examined using mixed-effects regression models.

RESULTS

Compared with the neither depressive symptoms nor physical comorbidity category, older adults classified as depressive symptoms-only, physical comorbidity-only or both conditions were all associated with elevated risks for healthcare use and spending (all OR/IRR > 1; all p < 0.001). Depressive symptoms and physical comorbidity in combination consistently led to higher risks for studied endpoints than either condition alone (outpatient visit: OR = 3.50, outpatient visit number: IRR = 3.39, inpatient visit: OR = 3.35, hospitalization days: IRR = 2.82, catastrophic health expenditure: OR = 1.70; all p-trend < 0.001). Stratification analyses revealed similar relationships irrespective of sex.

CONCLUSION

Depressive symptoms and physical comorbidity are separately and jointly associated with increased healthcare utilization and spending among Chinese older adults. These two conditions in combination lead to highest risks than either condition alone. Early screen for depressive symptoms, alone or together with physical comorbidity, may offer implications for appropriate policy interventions.

Multimorbidity patterns in the working age population with the top 10% medical cost from exhaustive insurance claims data of Japan Health Insurance Association

Although the economic burden of multimorbidity is a growing global challenge, the contribution of multimorbidity in patients with high medical expenses remains unclear. We aimed to clarify multimorbidity patterns that have a large impact on medical costs in the Japanese population. We conducted a cross-sectional study using health insurance claims data provided by the Japan Health Insurance Association. Latent class analysis (LCA) was used to identify multimorbidity patterns in 1,698,902 patients who had the top 10% of total medical costs in 2015. The present parameters of the LCA model included 68 disease labels that were frequent among this population. Moreover, subgroup analysis was performed using a generalized linear model (GLM) to assess the factors influencing annual medical cost and 5-year mortality. As a result of obtaining 30 latent classes, the kidney disease class required the most expensive cost per capita, while the highest portion (28.6%) of the total medical cost was spent on metabolic syndrome (MetS) classes, which were characterized by hypertension, dyslipidemia, and type 2 diabetes. GLM applied to patients with MetS classes showed that cardiovascular diseases or complex conditions, including malignancies, were powerful determinants of medical cost and mortality. MetS was classified into 7 classes based on real-world data and accounts for a large portion of the total medical costs. MetS classes with cardiovascular diseases or complex conditions, including malignancies, have a significant impact on medical costs and mortality.

Quality of life and associated factors among community-dwelling adults with multimorbidity in Shanghai, China: A cross-sectional study

AIM

To compare the quality of life of patients with and without multimorbidity and investigate potential factors related to the quality of life in patients with multimorbidity.

DESIGN

A descriptive cross-sectional study.

METHODS

This study included 1778 residents with chronic diseases, including single disease (1255 people, average age: 60.78 ± 9.42) and multimorbidity (523 people, average age: 64.03 ± 8.91) groups, who were recruited from urban residents of Shanghai through a multistage, stratified, probability proportional to size sampling method. The quality of life was measured using the World Health Organization Quality of Life Questionnaire. The socio-demographic data and psychological states were measured using a self-made structured questionnaire, Self-rating Anxiety Scale, and Self-rating Depression Scale. Differences in demographic characteristics were estimated using Pearson's chi-squared test, and independent t-test or one-way ANOVA followed by S-N-K test was used to compare the mean quality of life. Multiple linear regression analysis was conducted to identify risk factors for multimorbidity.

RESULTS

There were differences in age, education, income, and BMI between single-disease and multimorbidity groups, but no differences in gender, marriage, and occupation. Multimorbidity had lower quality of life, reflected in all four domains. Multiple linear regression analyses showed that low level of education, low income, number of diseases, depression, and anxiety were negatively related to quality of life in all domains.

A method for diagnosing depression: Facial expression mimicry is evaluated by facial expression recognition

BACKGROUND

Considerable evidence has shown that facial expression mimicry is impaired in patients with depression. We aimed to evaluate voluntary expression mimicry by facial expression recognition for diagnosing depression.

METHODS

A total of 168 participants performed voluntary expression mimicry task, posing anger, disgust, fear, happiness, neutrality, sadness, and surprise. 9 healthy raters performed facial expression recognition task through the observer scoring method, and evaluated seven expressions imitated by participants. Emotional scores were calculated to measure any differences between two groups of participants and provided a basis for clinical diagnosis of depression.

RESULTS

Compared with the control group, the depression group had lower accuracy in imitating happiness. Compared with the control group, the depression group imitated a higher neutrality bias for sadness, surprise, happiness and disgust, while sadness and surprise had a lower happiness bias; for imitating happiness, the depression group showed higher anger, disgust, fear, neutrality, and surprise bias; for imitating neutrality, the depression group showed higher sadness bias, and lower happiness bias. Compared with the control group, the raters had a higher reaction time to recognize the happiness imitated by depression group, and it was positively correlated with severity of depression. The severity of depression was also negatively correlated with accuracy in imitating happiness, and positively correlated with neutrality bias of imitating surprise.

LIMITATIONS

The ecological effectiveness of static stimulus materials is lower than that of dynamic stimuli. Without synchronized functional imaging, there is no way to link brain activation patterns.

CONCLUSION

The ability of patients with depression to voluntarily imitate facial expressions declines, which is mainly reflected in accuracy, bias and recognizability. Our experiment has discovered deficits in these aspects of patients with depression, which will be used as a method for diagnosising depression.

Longitudinal trajectories of depressive symptoms: the role of multimorbidity, mobility and subjective memory

BACKGROUND

The high prevalence of depression among older people in China places a heavy burden on the health system. Multimorbidity, mobility limitation and subjective memory impairment are found to be risk indicators for depression. However, most studies on this topic focused on depression at a single point in time, ignoring the dynamic changes in depressive symptoms and the relationship between the trajectories and these three conditions. Therefore, we aimed to identify distinct trajectories of depressive symptoms in older people and investigate their associations with multimorbidity, mobility limitation and subjective memory impairment.

METHODS

Data was drawn from China Health and Retirement Longitudinal Study conducted during 2011-2018. A total of 5196 participants who completed 4 visits, conducted every 2-3 years were included in this study. Group-based trajectory modeling was conducted to identify distinct trajectories of depressive symptoms z-scores. Multinomial logistic regression was used to investigate the relationships.

RESULTS

Four distinct trajectories of depressive symptoms z-scores were identified, labeled as persistently low symptoms (68.69%, n = 3569), increasing symptoms (12.14%, n = 631), decreasing symptoms (14.05%, n = 730) and persistently high symptoms (5.12%, n = 266). Participants with multimorbidity had unfavorable trajectories of depressive symptoms compared with those without multimorbidity, with adjusted odds ratios (95% CIs) of 1.40 (1.15, 1.70), 1.59 (1.33, 1.90) and 2.19 (1.65, 2.90) for the increasing symptoms, decreasing symptoms and persistently high symptoms, respectively. We also observed a similar trend among participants with mobility limitations. Compared with participants who had poor subjective memory, participants with excellent/very good/good subjective memory had a lower risk of developing unfavorable trajectories of depressive symptoms. The adjusted odds ratios (95% CIs) of the increasing symptoms, decreasing symptoms and persistently high symptoms were 0.54 (0.40, 0.72), 0.50 (0.38, 0.65) and 0.48 (0.31, 0.73), respectively.

CONCLUSIONS

Multimorbidity, mobility limitation and subjective memory impairment were found to be potential risk factors for unfavorable depression trajectories.