ABSTRACT
Background@#To date, consistent data have not been reported on the association between serum amyloid A (SAA) levels and type 2 diabetes mellitus (T2DM). The purpose of this study was to systematically summarize their relationship. @*Methods@#Databases including PubMed, Cochrane Library, Embase, Web of Science, and MEDLINE were searched until August 2021. Cross-sectional and case-control studies were included. @*Results@#Twenty-one studies with 1,780 cases and 2,070 controls were identified. SAA levels were significantly higher in T2DM patients than in healthy groups (standardized mean difference [SMD], 0.68; 95% confidence interval [CI], 0.39 to 0.98). A subgroup analysis showed that the mean age of participants and the continent that participants were from were related to differences in SAA levels between cases and controls. Furthermore, in T2DM patients, SAA levels were positively associated with body mass index (r=0.34; 95% CI, 0.03 to 0.66), triglycerides (r=0.12; 95% CI, 0.01 to 0.24), fasting plasma glucose (r=0.26; 95% CI, 0.07 to 0.45), hemoglobin A1c (r=0.24; 95% CI, 0.16 to 0.33), homeostasis model assessment for insulin resistance (r=0.22; 95% CI, 0.10 to 0.34), C-reactive protein (r=0.77; 95% CI, 0.62 to 0.91), and interleukin-6 (r=0.42; 95% CI, 0.31 to 0.54), but negatively linked with highdensity lipoprotein cholesterol (r=–0.23; 95% CI, –0.44 to –0.03). @*Conclusion@#The meta-analysis suggests that high SAA levels may be associated with the presence of T2DM, as well as lipid metabolism homeostasis and the inflammatory response.
ABSTRACT
OBJECTIVE: The most existing research has predominantly focused on city rather than township hospitals. This study aimed to explore depressive symptoms and its associated factors among general practitioners and nurses in Chinese township hospitals.METHODS: This cross-sectional study was carried out in Liaoning, China in 2016. 2,000 general practitioners and nurses in Chinese township hospitals were recruited and 1,736 of them became final subjects (effective response rate: 86.8%). Data on depressive symptoms, workplace violence (WPV), psychological capital (PsyCap), and demographic factors were collected through questionnaires. Hierarchical multiple regression was used to explore the factors related to depressive symptoms. Asymptotic and resampling strategies were applied to examine the potential mediating effect of PsyCap.RESULTS: The prevalence of depressive symptoms among the participants was 49.9%. Workplace violence was positively associated with depressive symptoms, whereas psychological capital and its components of hope, optimism and resilience were negatively associated with depressive symptoms. Psychological capital and its components of hope, optimism and resilience all played partial mediating roles between workplace violence and depressive symptoms.CONCLUSION: Nearly half of general practitioners and nurses surveyed suffered from depressive symptoms. Reduction of workplace violence and development of psychological capital can be targeted for interventions to combat depressive symptoms.