OBJECTIVES: To systematically evaluate the prevalence of depressive symptoms among children and adolescents in China. METHODS: A comprehensive search was conducted in PubMed, Embase, Cochrane Library, Web of Science, Wanfang Data, China Biomedical Literature Database, China National Knowledge Infrastructure, and VIP Database for literature published from January 2015 to May 2024 regarding the prevalence of depressive symptoms among Chinese children and adolescents. Stata 16.0 software was used for Meta analysis, and Egger's test and funnel plot analysis were performed to assess publication bias. RESULTS: A total of 53 studies were included, encompassing 314 867 children and adolescents, with 65 324 exhibiting depressive symptoms, resulting in a prevalence rate of 23.3% (95%CI: 21.4%-25.1%). Subgroup analysis revealed higher prevalence rates among females, those in rural areas, vocational high school students, individuals from the eastern region, those assessed using the Depression Self-Rating Scale for Children, and during the COVID-19 pandemic, with rates of 24.9%, 29.5%, 28.1%, 25.6%, 27.2%, and 27.7%, respectively. The distribution of studies in the funnel plot was roughly symmetrical, but Egger's test indicated potential publication bias (P<0.001). CONCLUSIONS The prevalence of depressive symptoms among children and adolescents in China is relatively high, particularly among females, those in rural areas, vocational high school students, and those in the eastern regions. Additionally, the COVID-19 pandemic may have impacted the incidence of depressive symptoms in this population.
Humans ; Adolescent ; Child ; China/epidemiology* ; Prevalence ; Depression/epidemiology* ; Female ; Male ; COVID-19

BACKGROUND: High levels of attention-deficit/hyperactivity disorder (ADHD) traits are associated with various outcomes, including depressive symptoms, functional impairment, and low self-esteem. Additionally, individuals with high levels of ADHD traits are reported to be more adversely affected by fear of coronavirus disease 2019 (COVID-19). The current study aimed to examine whether the association between ADHD traits and outcomes was partially mediated by fear of COVID-19 using mediation analysis. METHODS: A cross-sectional study was conducted in a sample of university students in medical-related faculties (n = 1,166). ADHD traits, fear of COVID-19, depressive symptoms, functional impairment, and self-esteem were assessed using the adult ADHD Self-Report Scale, Fear of COVID-19 Scale, K6 Scale, Sheehan Disability Scale, and Rosenberg Self-Esteem Scale, respectively. We used linear regression analysis and the Paramed command in Stata to analyze whether fear of COVID-19 mediated the association between ADHD traits and outcomes. RESULTS: ADHD traits were significantly associated with outcomes. Regarding the impact of fear of COVID-19, the results revealed a significant association between ADHD traits and fear of COVID-19, and between fear of COVID-19 and outcomes. The results of the mediation analyses showed that the association between ADHD traits and outcomes was partially mediated by the fear of COVID-19 (depressive symptoms: direct effect B = 1.029, 95% confidence interval [CI] 0.878, 1.181, indirect effect B = 0.021, 95% CI 0.002, 0.040; functional impairment: direct effect B = 0.786, 95% CI 0.593, 0.979, indirect effect B = 0.033, 95% CI 0.005, 0.060; self-esteem: direct effect B = -1.052, 95% CI -1.226, -0.878, indirect effect B = -0.024, 95% CI -0.046, -0.002). CONCLUSIONS Developing preventive measures against the adverse impacts of pandemics like COVID-19 will be particularly important for individuals with high levels of ADHD traits in future.
Humans ; COVID-19/psychology* ; Attention Deficit Disorder with Hyperactivity/epidemiology* ; Cross-Sectional Studies ; Self Concept ; Male ; Female ; Depression/epidemiology* ; Fear/psychology* ; Young Adult ; Universities ; Students/psychology* ; Adult ; SARS-CoV-2 ; Mediation Analysis ; Adolescent

BACKGROUND: Depression among older adults is an important public health issue, and air and noise pollution have been found to contribute to exacerbation of depressive symptoms. This study examined the association of exposure to air and noise pollutants with clinically-newly-diagnosed depressive disorder. The mediating role of individual pro-inflammatory markers was explored. METHODS: We linked National Health Insurance claim data with 2998 healthy community-dwellers aged 55 and above who participated in the Healthy Aging Longitudinal Study between 2009 and 2013. Newly diagnosed depressive disorder was identified using diagnostic codes from the medical claim data. Pollutants were estimated using nationwide land use regression, including PM_2.5 and PM₁₀, carbon monoxide, ozone, nitrogen dioxide, sulfur dioxide, and road traffic noise. Cox proportional hazard models were employed to examine the association between pollutants and newly developed depressive disorders. The mediating effect of serum pro-inflammatory biomarkers on the relationship was examined. RESULTS: Among the 2998 participants, 209 had newly diagnosed depressive disorders. In adjusted Cox proportional hazard models, one interquartile range increase in PM_2.5 (8.53 µg/m³) was associated with a 17.5% increased hazard of developing depressive disorders. Other air pollutants and road traffic noise were not linearly associated with depressive disorder incidence. Levels of serum tumor necrosis factor receptor 1 mediated the relationship between PM_2.5 and survival time to newly onset depressive disorder. CONCLUSION PM_2.5 is related to an increased risk of newly developed depressive disorder among middle-aged and older adults, and the association is partially mediated by the pro-inflammatory marker TNF-R1.
Humans ; Particulate Matter/analysis* ; Male ; Female ; Middle Aged ; Longitudinal Studies ; Aged ; Incidence ; Air Pollutants/analysis* ; Environmental Exposure/adverse effects* ; Taiwan/epidemiology* ; Receptors, Tumor Necrosis Factor, Type I/blood* ; Proportional Hazards Models ; Biomarkers/blood* ; Depression/epidemiology* ; Aged, 80 and over ; Depressive Disorder/chemically induced* ; Risk Factors ; Air Pollution/adverse effects*

OBJECTIVES: Depressive and anxiety disorders are among the most common mental disorders worldwide and are associated with unhealthy lifestyle behaviors. The Life's Simple 7 (LS7) guideline proposed by the American Heart Association aims to reduce cardiovascular risk by improving behaviors such as diet and physical activity, but its impact on mental health is not yet fully clear. This study examined the association between LS7 scores and symptoms of anxiety and depression in adults undergoing routine health examinations. METHODS: Data were collected from individuals who underwent health examinations from May 2015 to December 2024 at the Health Management Center of the Third Xiangya Hospital. All participants completed the LS7 assessments, the Self-Rating Depression Scale (SDS), and the Self-Rating Anxiety Scale (SAS). Participants were categorized into 4 LS7 score groups: Low (≤7), average (8-9), good (10), and excellent (11-14). Those with SDS or SAS≥50 were classified as having mental disorder symptoms; with this group, SAS≥50 indicated anxiety, SDS≥50 indicated depression, and SDS and SAS≥50 indicated comorbid anxiety-depression. Binary logistic regression was used to assess associations between LS7 score and mental symptoms, calculating odds ratio (OR) and 95% confidence interval (CI). A restricted cubic spline (RCS) regression model was used to analyze the dose-response relationship between LS7 score (continuous variable) and the risk of mental symptoms. Nodes were set at the 5th, 35th, 65th, and 95th percentiles of the LS7 score, with the 5th percentile as the reference point. All models were adjusted for covariates such as gender, age, living alone, drinking status, education level, and sleep quality. Logistic regression framework was used to fit and calculate the adjusted OR (aOR) and 95% CI. Nonlinear relationship tests were also conducted. Subgroup analysis was performed to explore the interaction between gender, age, drinking habits, education level, and other factors and the LS7 score in influencing the risk of mental symptoms. RESULTS: A total of 5 449 participants were included; 1 363 (25.01%) had depressive symptoms, 398 (7.30%) had anxiety symptoms, and 259 (4.75%) had comorbid anxiety-depression. The prevalence of mental symptoms decreased significantly as LS7 scores increased. Univariate and multivariate Logistic regression indicated that LS7 score≥8 was protective against mental symptoms. Multivariate Logistic regression demonstrated moderate discriminative ability (AUC=0.672). Among individuals with anxiety, depression, or comorbid symptoms, LS7 score distributions showed a graded decrease from poor to excellent groups. After adjustment, an excellent LS7 score was associated with a 39% lower risk of depression (aOR=0.61, 95% CI 0.47 to 0.78, P<0.001), a 63% lower risk of anxiety (aOR=0.37, 95% CI 0.22 to 0.59, P<0.001), and a 66% lower risk of comorbid anxiety-depression (aOR=0.34, 95% CI 0.17 to 0.62, P=0.001). The AUC values of the anxiety model, depression model, and comorbid anxiety and depression model were 0.632, 0.672, and 0.619, respectively. All models demonstrated moderate discriminatory ability, which was statistically significant, but their capacity to distinguish cases from non-cases was limited. RCS analysis confirmed a linear inverse relationship between LS7 score and mental symptom risk. Not smoking and regular physical activity were the strongest protective behaviors. Subgroup analysis suggested stronger protective effects in men, younger adults (≤60), non-drinkers, and those with higher education levels, and revealed a significant interaction between alcohol use and LS7 score (P for interaction=0.021), indicating that alcohol consumption may weaken the protective effect of LS7. CONCLUSIONS Ideal healthy lifestyle behaviors, as reflected by higher LS7 scores, are associated with lower risks of anxiety and depression in adults. Promoting LS7-based lifestyle practices may serve as a practical and effective strategy for the prevention and management of anxiety and depression in both clinical and daily life settings.
Humans ; Cross-Sectional Studies ; Depression/epidemiology* ; Anxiety/epidemiology* ; Adult ; Male ; Female ; Middle Aged ; Healthy Lifestyle ; Risk Factors ; Anxiety Disorders/epidemiology* ; Exercise ; Physical Examination ; Aged

OBJECTIVES: To explore the values of materialism in medical postgraduates and its relationship with depression. METHODS: We conducted a survey among 592 postgraduates in clinical medicine using Materialism Tendency Scale (MTS) and Patient Health Questionnaire-9 (PHQ-9). Descriptive analysis, mean comparison, and correlation analysis were used for data analysis. RESULTS: The postgraduates had a mean total score of materialism of 56.36±10.44, and 11.8%, 54.1%, and 34.1% of them reported high, medium, and low levels of materialism, respectively. No significant differences were found in the total score of materialism among the postgraduates of different genders or with different family economic levels, but the postgraduates from urban families had a significantly higher level of materialism than those from rural families (P<0.001). 18.4% of the postgraduates screened positive for moderate to severe depressive symptoms. The total score of MTS was positively correlated with depression (r=0.289, P<0.001). The dimension scores of MTS for materialism obsessions, material vanity, material interest, and material pursuit were all positively correlated with depression (r=0.183-0.289, P<0.001). The depressive symptoms and their overall levels differed significantly among individuals with different levels of materialism, and higher levels of materialism were associated with severer depressive symptoms (F=18.792, P<0.001) and a higher positive rate of depression (χ²=27.528, P<0.001). CONCLUSIONS Materialistic values may increase the risk of depression among medical postgraduates.
Humans ; Depression/epidemiology* ; Surveys and Questionnaires ; Female ; Adult ; Male ; Middle Aged ; Risk Factors

INTRODUCTION: Adolescent depression is prevalent, and teen suicide rates are on the rise locally. A systemic review to understand associated risk and protective factors is important to strengthen measures for the prevention and early detection of adolescent depression and suicide in Singapore. This systematic review aims to identify the factors associated with adolescent depression in Singapore. METHODS: A systematic search on the following databases was performed on 21 May 2020: PubMed, EMBASE and PsycINFO. Full texts were reviewed for eligibility, and the included studies were appraised for quality using the Newcastle Ottawa Scale. Narrative synthesis of the finalised articles was performed through thematic analysis. RESULTS: In total, eight studies were included in this review. The four factors associated with adolescent depression identified were: (1) sociodemographic factors (gender, ethnicity); (2) psychological factors, including childhood maltreatment exposure and psychological constructs (hope, optimism); (3) coexisting chronic medical conditions (asthma); and (4) lifestyle factors (sleep inadequacy, excessive internet use and pathological gaming). CONCLUSION The identified factors were largely similar to those reported in the global literature, except for sleep inadequacy along with conspicuously absent factors such as academic stress and strict parenting, which should prompt further research in these areas. Further research should focus on current and prospective interventions to improve mental health literacy, targeting sleep duration, internet use and gaming, and mitigating the risk of depression in patients with chronic disease in the primary care and community setting.
Humans ; Singapore/epidemiology* ; Adolescent ; Risk Factors ; Depression/etiology* ; Protective Factors ; Male ; Female ; Life Style ; Suicide

INTRODUCTION: In the early phase of the coronavirus disease 2019 (COVID-19) pandemic, children with COVID-19 in Singapore required hospital isolation. We aimed to explore the psychological experiences of children and their caregivers isolated in a tertiary university hospital due to COVID-19. METHODS: A prospective mixed-methods design was used to evaluate the psychological status of hospitalised family units with one or more children aged <18 years who had severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Patient medical records were reviewed for demographic and clinical information. Parents and children ≥7 years of age underwent a psychologist-administered telephone-based interview. Self-reported, age-appropriate instruments, Short Mood and Feelings Questionnaire, and Screen for Adult/Child Anxiety-Related Disorders, were used to assess anxiety and depression, respectively. Participants were also interviewed qualitatively. RESULTS: Fifteen family units were hospitalised between March 2020 and May 2020. Of these, 13 (73%) family units were recruited. The median age of the children and median hospitalisation duration were 57 months and 21 days, respectively. Median number of COVID-19 polymerase chain reaction swabs performed for each child was eight. All children had asymptomatic to mild SARS-CoV-2 disease. The criteria indicative of anxiety disorder were met by 40% of adults and 80% of children, while the criteria indicative of separation anxiety were met by 60% of parents and 100% of children. One child met the criteria indicative of depression. Uncertainty, separation, prolonged hospitalisation and frequent swabs caused significant reported anxiety. CONCLUSIONS Families, especially children, had heightened anxiety while in hospital isolation. Therefore, home-based recovery from COVID-19 and psychological support for children and their families, with focus on early recognition of anxiety disorders, are recommended. We support review of paediatric isolation policy as the pandemic evolves.
Humans ; COVID-19/epidemiology* ; Male ; Child ; Female ; Singapore/epidemiology* ; Anxiety/etiology* ; Prospective Studies ; Adolescent ; Hospitalization ; SARS-CoV-2 ; Adult ; Child, Preschool ; Pandemics ; Parents/psychology* ; Caregivers/psychology* ; Family/psychology* ; Depression ; Patient Isolation/psychology* ; Surveys and Questionnaires

OBJECTIVE: To investigate the risk factors for depression in middle-aged and elderly Chinese male patients with benign prostatic hyperplasia/lower urinary tract symptoms (BPH/LUTS). METHODS: Based on the data from the 2018 China Health and Retirement Longitudinal Study (CHARLS), we included 8 426 male participants aged ≥ 45 years in this study, and explored the risk factors for depression in patients with BPH/LUTS by logistic regression analysis. RESULTS: Among the total number of participants, there were 1 447 cases of BPH/LUTS, with a prevalence rate of 17.2%, and 36.5% of the patients (529/1 447) were complicated by depression. Logistic regression analysis showed that underlying diseases were the risk factors for depression in patients with BPH/LUTS (OR = 1.29, 95% CI: 1.03－1.62), while the protective factors against the condition included high school education or above (OR = 0.52, 95% CI: 0.36－0.75), urban residence (OR = 0.75, 95% CI: 0.60－0.95), eastern region (OR = 0.61, 95% CI: 0.38－0.97), and 6－9 h/d sleep (OR = 0.52, 95% CI: 0.41－0.66). CONCLUSION Underlying diseases, education level, residential area, geographical region, and sleep duration are influencing factors for depression in middle-aged and elderly male patients with BPH/LUTS in China and deserve the attention of clinicians.
Humans ; Male ; Prostatic Hyperplasia/psychology* ; Risk Factors ; Depression/etiology* ; Aged ; Middle Aged ; Lower Urinary Tract Symptoms/psychology* ; China/epidemiology* ; Logistic Models ; Prevalence ; Longitudinal Studies

OBJECTIVE: The prevalence of depressive symptoms has become a significant public health issue in China. Research on the relationship between personality traits and changes in depressive symptoms, as well as further exploration of urban-rural differences, not only benefits for the understanding of the prevalence trend of depression in China, but also provides a useful reference for the government to develop personalized mental health prevention strategies. METHODS: Based on the data from the China Family Panel Studies in 2018 and 2020, a univariate analysis was conducted on 16 198 Chinese residents aged 18 years and above. Five dimensions of personality traits were conscientiousness, extraversion, agreeableness, neuroticism and openness. In the study, 16 198 residents were divided into "keep good group", "better group", "worse group" and "keep bad group" according to the changes in depressive symptoms in 2018 and 2020. After controlling for factors, such as gender and education, multinomial Logistic regression analysis was used to examine whether personality traits were associated with changes in depressive symptoms. In addition, we evaluated whether urban-rural and personality traits interacted to influence depressive symptoms. RESULTS: The five dimensions of personality traits were significantly correlated with changes in depressive symptoms. Conscientiousness, extroversion, and agreeableness were negatively associated with depressive symptoms, while neuroticism and openness were positively related. Urban and rural differences moderated the relationship between personality traits and depressive symptoms. Compared with urban residents, rural residents showed stronger correlations between neuroticism (OR=1.14; 95%CI: 1.00-1.30) and the group of depression-recovery, as well as conscientiousness (OR=0.79;95%CI: 0.68-0.93) and the group of persistent-depression. CONCLUSION The study finds that personality traits have a significant correlation with changes in depressive symptoms, with certain traits showing a negative or positive relationship. Specifically, higher levels of conscientiousness, extraversion, and agreeableness are associated with lower levels of depressive symptoms, while higher levels of neuroticism and openness are associated with higher levels of depressive symptoms. In addition, the study finds that rural residents have a stronger association between their personality traits and persistent or improved depressive symptoms, which highlights the need for tailoring mental health intervention and prevention programs that should take into account personality traits and urban-rural differences in China. By developing targeted strategies that are sensitive to personality differences and geographic disparities, policymakers and mental health professionals can help prevent and reduce the incidence of depressive symptoms, ultimately improving the overall well-being of Chinese adults. Meanwhile, additional studies in independent populations are needed to corroborate the findings of this study.
Adult ; Humans ; Personality ; Depression/etiology* ; China/epidemiology* ; Personality Inventory ; Surveys and Questionnaires

OBJECTIVE: To investigate the status of depression and social anxiety in children and adolescents, and to analyze the association between body fat distribution and depression, social anxiety in children and adolescents. METHODS: A total of 1 412 children aged 7 to 18 years in Beijing were included by stratified cluster random sampling method. Body fat distribution, including total body fat percentage (total BF%), Android BF%, Gynoid BF% and Android-to-Gynoid fat ratio (AOI), were obtained by dual-energy X-ray absorption method. Depression and social anxiety were evaluated by Children Depression Inventory and Social Anxiety Scale for Children. Multivariate linear regression and restricted cubic spline analysis were used to estimate the linear and non-linear correlation between body fat distribution and depression and social anxiety. RESULTS: 13.1% and 31.1% of the children and adolescents had depressive symptoms and social anxiety symptoms respectively, and the detection rate of depression and social anxiety in the boys and young groups was significantly lower than those in the girls and old groups. There was no significant linear correlation between total BF%, Android BF%, Gynoid BF%, AOI and depression and social anxiety in the children and adolescents. However, total BF% and Gynoid BF% had significant nonlinear correlation with depression, showing an inverted U-shaped curve relationship with the tangent points of 26.8% and 30.9%, respectively. In terms of the nonlinear association of total BF%, Android BF%, Gynoid BF% and AOI with depression and social anxiety, the change trends of the boys and girls, low age group and high age group were consistent. The overall anxiety risk HR of body fat distribution in the boys was significantly higher than that in the girls, and the risk HR of depression and social anxiety were significantly higher in the high age group than those in the low age group. CONCLUSION There was no significant linear correlation between body fat distribution and depression and social anxiety in children and adolescents. Total BF% and depression showed an inverted U-shaped curve, mainly manifested in Gynoid BF%, and this trend was consistent in different genders and different age groups. Maintaining children and adolescents' body fat distribution at an appropriate level is the future direction of the prevention and control of depression and social anxiety in children and adolescents.
Humans ; Female ; Child ; Male ; Adolescent ; Cross-Sectional Studies ; X-Rays ; Depression/epidemiology* ; Absorptiometry, Photon/methods* ; Body Mass Index ; Body Fat Distribution ; Anxiety/epidemiology* ; Adipose Tissue ; Body Composition