Hospitalization Costs and Financial Burden on Families with Children with Depression: A Cross-Section Study in Shandong Province, China

Outpatient depression current care expenditure changes in Liaoning Province from 2015 to 2020: a study based on the "system of health accounts 2011"

Introduction: Depression is the leading cause of disability worldwide and has become a health issue of global concern. Based on the "System of Health Accounts 2011" (SHA 2011) for patients with depression, this paper studies the changes in the current curative expenditure (CCE) of outpatient depression in Liaoning Province, China, and provides policy recommendations. Method: A stratified multistage random sample of 56,994 patients with depression included from 1,227 healthcare facilities in Liaoning Province were included. The significance of differences in variables within groups was analyzed by univariate analysis (including descriptive statistics analysis, Mann-Whitney U test and Kruskal-Wallis H test), and factors influencing depression outpatient CCE were analyzed by multiple linear regression analysis and constructing structural equation models (SEM). Results: The CCE of outpatient depression was ranging from CNY 75.57 million to CNY 100.53 million in 2015-2020, with the highest of CNY 100.53 million in 2018, CNY 103.28 million in 2019. Medical expenditures are mainly concentrated in general hospitals and provincial healthcare institutions, accounting for about 90% of all provincial scope expenditures. The multiple regression results show that provincial healthcare institutions, purchase of drug, select medical treatment for depression, general hospitals and urban employees' health insurance are the main influencing factors for depression outpatient CCE. The results of SEM show that insurance status negative impact outpatient expenditure. Conclusion: Health insurance is an important factor in equitable access to healthcare resources for patients, and medication expenditure is the influential factor affecting the high expenditure of outpatient clinics. It is of great importance to reduce the medical burden of patients by increasing the coverage of medical insurance, increasing the proportion of bills that are eligible for reimbursement, and improving the system by guaranteeing the supply of psychotropic medication.

The relationship between family communication and family resilience in Chinese parents of depressed adolescents: a serial multiple mediation of social support and psychological resilience

BACKGROUND

Family resilience plays a crucial role in helping depressed adolescents overcome challenges. However, studies examining family resilience in depressed adolescents are currently scarce. This study, guided by the family resilience framework, aimed to investigate the serial-multiple mediation of social support and psychological resilience between family communication and family resilience in Chinese families of depressed adolescents.

METHODS

In 229 parents of adolescents with major depressive disorder, 20.1% comprises of fathers, while 79.9% comprises of mothers. The mean age of depressed adolescents was 14.84 (±1.76) years, and the mean age of parents of these depressed adolescents was 43.24 (±4.67) years. The Family Resilience Assessment Scale (FRAS), the Psychological Resilience of Parents of Special Children Questionnaire, and the Social Support Rating Scale, Family Assessment Device (FAD) were used to collected data. Descriptive, univariate, and Pearson correlation analyses were used in preliminary analyses. To explore mediation, we employed a serial-multiple mediation model (PROCESS model 6).

RESULTS

Family communication was positively correlated with family resilience, social support, and psychological resilience. Mediation analysis revealed indirect effects of family communication on family resilience, which were mediated solely by either social support or psychological resilience, or through multiple mediation pathways involving both social support and psychological resilience.

CONCLUSIONS

Family communication positively and directly affects the family resilience of depressed adolescents, and a higher level of social support and psychological resilience can help improve family resilience. These findings not only provide empirical evidence supporting the family resilience framework but also have practical implications for future family interventions targeting depressed adolescents.

Natural products for the treatment of depression: Insights into signal pathways influencing the hypothalamic-pituitary-adrenal axis

Depression, a prevalent psychiatric malady, afflicts a substantial global demographic, engendering considerable disease burden due to its elevated morbidity and mortality rates. Contemporary therapeutic approaches for depression encompass the administration of serotonin reuptake inhibitors, monoamine oxidase inhibitors, and tricyclic antidepressants, albeit these pharmaceuticals potentially induce adverse neurological and gastrointestinal effects. Traditional Chinese Medicine (TCM) natural products proffer the benefits of multi-target, multi-level, and multi-channel depression treatment modalities. In this investigation, we conducted a comprehensive literature review of the past 5 years in PubMed and other databases utilizing the search terms "Depression," "Natural medicines," "Traditional Chinese Medicine," and "hypothalamic-pituitary-adrenal axis." We delineated the 5 most recent and pertinent signaling pathways associated with depression and hypothalamic-pituitary-adrenal (HPA) axis dysregulation: nuclear factor kappa light-chain-enhancer of activated B cell, brain-derived neurotrophic factor, mitogen-activated protein kinase, cyclic AMP/protein kinase A, and phosphoinositide 3-kinase/protein kinase B. Additionally, we deliberated the antidepressant mechanisms of natural medicines comprising alkaloids, flavonoids, polyphenols, saponins, and quinones via diverse pathways. This research endeavor endeavored to encapsulate and synthesize the progression of TCMs in modulating HPA axis-associated signaling pathways to mitigate depression, thereby furnishing robust evidence for ensuing research in this domain.

Family Resilience Progress from the Perspective of Parents of Adolescents with Depression: An Interpretative Phenomenological Analysis

Family resilience plays an important role in the healthy family development of adolescents with depression, but few studies have explored the specific process of family resilience. This study aims to explore the dynamic processes of family resilience from parents of adolescents with depression. Data were collected from 14 Chinese parents of adolescents with depression by interpretative phenomenological analysis method. Four themes and 12 sub-themes emerged: (1) decompensation phase: (i) misinterpretations of illness, (ii) heavy psychological burden, (iii) chaotic rhythms in family; (2) launch phase: (i) potential influences of labeling, (ii) we must cure my child anyway, (iii) begin adjusting to family roles; (3) recovery phase: (i) family reflection, (ii) subsequent reorganization of family resources, (iii) ultimately establishing a new balance; (4) normality phase: (i) adaption for medical seeking process, (ii) actively lower expectations, (iii) concerns of future needs. Mental health professionals could provide targeted suggestions to help the parents achieve family resilience by assessing its different phases.

Early life climate and adulthood mental health: how birth seasonality influences depressive symptoms in adults

BACKGROUND

Early life in-utero can have long-term influence on the mental health status of individuals in adulthood, such as depression. Age, gender, socio-economic status, education, and geography are demographic factors shown to be particularly vulnerable towards the development of depressive symptoms. In addition, climate risks on depression include sunlight, rain, and temperature. However, whether climate factors in early life have a long-term influence on depression related to demographic vulnerability remains unknown. Here, the present study explored the association between birth seasonality and adulthood depressive symptoms.

METHODS

We employed data from the project of Chinese Labour-forces Dynamic Survey (CLDS) 2016, containing the epidemiological data of depressive symptoms with a probability proportional to size cluster and random cluster sampling method in 29 provinces of China. A final sample size of 16,185 participants was included. Birth seasonality included spring (March, April, and May), summer (June, July, and August), autumn (September, October, and November), and winter (December, January, and February).

RESULTS

We found that born in Autumn peaked lowest rate of having depressive symptoms (16.8%) and born in Summer (vs. Autumn) had a significant higher ratio (OR = 1.14, 95%CI = 1.02, 1.29) when controlling for demographic variables. In addition, demographic odds ratio of having depressive symptoms differed between people born in different seasons, particular for age and geography.

CONCLUSION

Our findings suggest that birth seasonality influences the sensitive link of depressive symptoms with age and geography. It implicates early life climate environment may play a role in the development of adulthood depressive symptoms.

Association between organophosphorus pesticide exposure and depression risk in adults: A cross-sectional study with NHANES data

Organophosphorus pesticides (OPPs) are widely used pesticides, and previous studies showed that OPPs can increase the risk of central nervous system disorders (e.g., Parkinson's and Alzheimer's disease). However, few studies have comprehensively explored their association with depression in general adults. We analyzed data from 5206 participants aged 20 years or more based on four National Health and Nutrition Examination Survey (NHANES) cycles. OPPs exposure was estimated using measures of urinary concentrations for six OPPs metabolites. Survey-weighted generalized linear regression model (SWGLM) was used to explore the association of OPPs metabolites with depression. Subgroup analyses were performed by age (≦60 years and >60 years) and gender. The weighted quantile sum (WQS) regression model was used to explore the overall association of six OPPs metabolites with depression. In addition, The Bayesian kernel machine regression (BKMR) model was applied to investigate the interaction and joint effects of multiple OPPs metabolites with depression. The SWGLM showed that dimethyl phosphate (DMP) and dimethyl thiophosphate (DMTP), whether taken as continuous or quartile variables, had a positive correlation with depression. Diethyl phosphate (DEP) and dimethyl dithiophosphate (DMDTP) in the highest quartile were positively associated with depression compared to the lowest quartile. In subgroup analysis, we found that the effects of the above chemicals on depression existed in the male and young middle-aged population, while DMP was present in the female. There was a significant combined overall effect of six OPPs metabolites with depression [OR = 1.232, 95%CI: (1.011, 1.504)] in WQS. Furthermore, the BKMR model also showed a positive trend in the overall effect of six OPPs metabolites with depression. In conclusion, our results suggest that exposure to OPPs may increase the risk of depression in US adults. Men and young and middle-aged populations are more vulnerable to OPPs and the mixture of OPPs metabolites may induce depression.

Life in a New Normal with a Self-Care Routine: A Cross-Sectional Study of Older Adults' Daily Health Behaviors (DHB) Performance during the Initial Outbreak of COVID-19 in China

For older adults, self-care begins with daily health behaviors (DHB), which refers to a series of basic behaviors beneficial to health in daily life; it is the foundation for promoting health, preventing disease, and maintaining health with or without the support of a healthcare provider. Thus, this study aimed to observe the changes in DHB among older adults when the COVID-19 pan-demic first erupted in China (at the beginning of 2020) and explore the impact factors on self-care routines in daily life. We applied a cross-sectional study among 1256 (83.7%) valid older Chinese from 19 February 2020 to 19 March 2020, the score of DHB changes (mean ± SD, 14.70 ± 2.140; range, 8−18) presented a significant growth (t1256 = 44.636, p < 0.001) during COVID-19. From 3 hierarchical linear regression models, the older Chinese who received a higher education include high school (β = 0.403, 95% CI [0.009, 0.797], p = 0.045) and college degree and above (β = 0.488, 95% CI [0.034, 0.943], p = 0.035), and lived in the eastern China (β = 0.771, 95% CI [0.392, 1.151], p < 0.001) took DHB more frequently. However, the high-risk infection (β = −0.740, 95% CI [−1.248, −0.231], p = 0.004), overweight/obese character (β = −0.265, 95% CI [−0.526, −0.004], p = 0.047), and alcohol consumption (β = −0.350, 95% CI [−0.634, −0.065], p = 0.016) are significant factors in decreasing a senior’s DHB performance. For China, self-care offers a straightforward strategy among the range of measures required to combat COVID-19 and future health threats. In summary, findings in this study can build a foundation for developing healthcare policy and services for the relevant government and departments on prompting DHB and the importance of self-care among the older population.

The major risk factor for depression in the Chinese middle-aged and elderly population: A cross-sectional study

BACKGROUND

The number of patients suffering from depression is continuously increasing in China. Demographic characteristics, physical health levels, and individual lifestyles/healthy behaviors are associated with the severity of depression. However, the major risk factor for depression remains unclear.

MATERIALS AND METHODS

In this investigation, 16,512 patients were screened using the CHARLS (China Health and Retirement Longitudinal Study) database after being determined to be eligible based on the inclusion criteria. Depressive symptoms were evaluated through the CESD-10 (10-item Center for Epidemiological Studies Depression Scale). Consequently, various models were developed based on potential predictive factors, employing stepwise LR (Logistic Regression)/RF (Random Forests) models to examine the influence and weighting of candidate factors that affect depression.

RESULTS

Gender, residential address location, changes in health status following last interview, physical disabilities, chronic pain, childhood health status, ADL (activity of daily living), and social activity were all revealed to be independent risk factors for depression (p < 0.05) in this study. Depression has a synergic effect (across chronic pain and age groups). In comparison to other factors, RF results showed that chronic pain had a stronger impact on depression.

CONCLUSION

This preliminary study reveals that chronic pain is a major risk factor for depression.

Trends of Acupuncture Therapy on Depression From 2011 to 2020: A Bibliometric Analysis

Objectives: The purpose of this study was to explore the current status and trends of acupuncture for depression in the last decade and provide new insights for researchers in future studies.

Methods: The articles regarding acupuncture treatment for depression published between 2011 and 2020 were extracted from the Web of Science Core Collection. We used CiteSpace to analyze data on publications, countries, institutions, cited journals, cited authors, cited references, keywords, and citation bursts about acupuncture and depression.

Results: A total of 1,032 publications were obtained from 2011 to 2020. We identified the most prolific journals, countries, institutions, and authors in the field of acupuncture for depression in the last decade. The most prolific country and institutions were the People's Republic of China and KyungHee University, respectively. Evidence-based Complementary and Alternative Medicine was the most prolific and cited journal. The author with the highest centrality was Zhangjin Zhang, and the author with the most publications was Park Hi-Joon. The keyword “cognitive behavioral therapy” was first for research developments with the highest citation burst. The five hot topics in acupuncture on depression were “acupuncture,” “depression,” “electro-acupuncture,” “quality of life,” and “anxiety.”

Conclusions: The results from this bibliometric study provide insight into the research trends in acupuncture therapy for depression, and the current status and trends of the past decade, which may help researchers determine the current status, hotspots, and frontier trends in this field.