Search

Background: Although the 2000s observed enormous changes in China, little is known about the variation in the prevalence of mental disorders. The study compared the prevalence in a Chinese population between 2004 and 2015.Methods: Multistage stratified random sampling methods were used to identify primary sampling sites for cross-sectional surveys in 2004 and 2015 in Shandong, China. In 2004 and 2015, 22,718 and 28,194 adults, respectively, completed an expanded version of the General Health Questionnaire, then 5,402 and 9,420 adults, respectively, were administered a Chinese version of the Structured Clinical Interview for Diagnostic and Statistical Manual-IV axis I disorders.Results: The adjusted 1-month prevalence of any mental disorders was 18•7% (95% CI: 16•7-20•8) and 17•1% (95% CI:15•9-18•4) in 2004 and 2015, respectively. However, the prevalence of major depressive disorders increased from 1•5% (95% CI: 1•2 -1•8) in 2004 to 2•3% (95% CI: 1•9-2•8) in 2015; meanwhile the prevalence of alcohol abuse disorders were becoming more common among men and urban residents. Although mood and anxiety disorders were more prevalent in women, a much more prevalent alcohol abuse disorders for men contributed to a higher overall prevalence among men than among women. Compared to that in urban residents, the overall prevalence in rural residents declined more, and it was lower in 2015 than in 2004.Limitations: The results may not apply to the population from other regions.Conclusions: Despite of the stable overall prevalence, mental disorders beyond psychotic disorders should be focused on, especially alcohol abuse and major depressive disorders. [ABSTRACT FROM AUTHOR]

Backgrounds: Little is known about the variation in sleep quality and its association with coping style and mental health in 21st century China, despite of enormous socioeconomic changes. This study aims to document the variation in sleep quality and its contribution to the association between coping style and mental health in China.Methods: Pooled cross-sectional data of 46,561 adults was obtained from the 2004 and 2015 mental health surveys conducted in Shandong Province, China. A Simplified Coping Style Questionnaire and the Pittsburgh Sleep Quality Index were assessed, with mental health measured by the General Health Questionnaire (GHQ). A mediation regression model was run to test the mediating effect of sleep quality.Results: Above 10% reported poor sleep quality or median-to-high risk of mental disorders according to GHQ results in year 2015, and a significant but small improvement for sleep quality and mental health came during the studied decade, with the exception of poor sleep quality increasing among males. In 2015, a one-point increase in sleep quality score was associated with an increase of 0.17 (95% CI, 0.16-0.18) and 0.16 (95% CI, 0.14-0.17) points on the GHQ for males and females, respectively. Sleep quality mediated the relationship between negative tendency of coping style and elevated GHQ scores, and the mediating effects grew stronger in 2015 than those in 2004.Limitation: The study is a cross-sectional study, and the sample is not nationally representative.Conclusion: An integrative intervention of mental health promotion is recommended to account for sleep quality and coping strategies.. [ABSTRACT FROM AUTHOR]

This study extends from the 2015 Shandong Province Epidemiological Survey of Mental Disorders in adults aged 18 and above. Over five years, it investigates pain characteristics and influencing factors in individuals with depressive disorders in Shandong Province. The study encompasses 871 individuals who met DSM-IV criteria for depressive disorders in 2015. Using 1:1:1 matching by gender, age, and residence, 825 non-afflicted individuals were selected as high-risk controls, and 825 screening-negative individuals became low-risk controls. A follow-up study in 2020 involved 1848 participants. Survey tools included a general information questionnaire, General Health Questionnaire-12 (GHQ-12), SCID-I/P, Global Pain Scale (GPS), Quality of Life Questionnaire (QLQ), PSQI, MoCA, and clinical data questionnaire. GPS scores in the current depressive group were higher than in non-current depressive group (Z = 14.36 , P < 0.01). GPS scores in study group exceeded those in high-risk and low-risk control groups (H = 93.71 , P < 0.01). GPS scores in non-remission group were higher than in the remission group (Z = 8.90 , P < 0.01). Regression analysis revealed positive correlations between GPS scores and physical illnesses, current depression, incumbency, GHQ-12 total score, and PSQI total score. Negative correlations were observed with QLQ total score and MoCA total score. The study could not assess pain during the 2015 survey, limiting controlled pain analysis before and after five years. Depression sufferers may experience prolonged heightened pain, potentially relieved when depression subsides. Individual pain is influenced by depression, physical illnesses, sleep quality, quality of life, cognitive function, gender, residence, and occupation. • Pain Persists in Depression: Depressed individuals have prolonged pain, even after remission. • Multifactorial Pain Influence: Pain level in depression linked to depression, physical illness, and sleep quality. • Gender and Location Impact: Female gender and rural residence contribute to higher depression-related pain. • Depression Affects Quality of Life: Pain in depression harms quality of life, warranting comprehensive treatment. • Occupational Status Matters: Occupational status, like incumbency, affects pain levels. [ABSTRACT FROM AUTHOR]

Background: Depression is characterized by debilitating symptoms and high recurrence rates, and there are relatively few large-scale epidemiological surveys of depressive disorders conducted in Shandong since 2005. Data from the largest Epidemiological Survey of Mental Disorders conducted in 2015 in Shandong were collected to investigate the prevalence of depressive disorders and associated demographic characteristics in general adult population.Methods: A multi-stage stratified cluster sampling method was adopted to select residents and a two-stage screening and assessment process was used to define the prevalence and characteristics of depressive disorders. Respondents were initially screened using the General Health Questionnaire followed by a structured clinical interview using the DSM-IV criteria.Results: Among 27,489 respondents who completed the survey, 1277 respondents met the diagnostic criteria for depressive disorders. The adjusted prevalence in the last month was 4.86%, among which the prevalence of major depressive disorder, dysthymia, and unspecified depressive disorder were 2.32%, 1.78%, and 0.75%, respectively. 40.35% of depression patients had moderate or severe functional impairment and only 10.65% of patients had visited a psychiatric service. Univariate and multivariate analyses revealed that age, gender, occupation, education, marital status, and urban/rural living were associated with the prevalence.Limitations: The key limitation is that this is a cross-sectional survey therefore cannot draw any causal relationship between risk factors and disease progression.Conclusions: Findings from this largest epidemiological study reveal current prevalence of depressive disorders and associated demographic factors and offers opportunities for policy makers and health-care professionals to improve mental health provision in Shandong. [ABSTRACT FROM AUTHOR]

The stable supply of water resources is an important foundation for maintaining human production and life. With the development of economy and society, climate, socioeconomic and land factors directly or indirectly affect surface Water yield ecosystem services (WY). The driving factors of WY in the Yellow River Economic Belt (YREB) show the spatial spillover effect, which has been neglected in previous related studies. The results show that: (1) From 2000 to 2015, WY in YREB showed an obvious downward trend, with Henan and Shandong having the largest declines; (2) The decrease of WY is positively correlated with climate factors and negatively correlated with socioeconomic and land factors. (3) WY of YREB presents is characterized by obvious spatial heterogeneity characteristics of uneven distribution in the north and south, which is mainly due to the spatial spillover effect caused by climate and socioeconomic factors. Scientifically identifying the spatial heterogeneity of WY and the spatial spillover effect of the driving factors can help managers better understand the spatial driving mechanism of the driving factors on WY. This conclusion provides support for the ecological protection and high-quality development strategy of YREB. • Water yield of Yellow River Economic Belt (YREB) showed obvious downward trend. • Ideal scale for studying spatial effects of water yield in YREB was determined. • Spatial spillover effect is main cause for spatial heterogeneity of water yield. • Trade-offs between water yield and economic development were identified. [ABSTRACT FROM AUTHOR]