scholarly journals The Relationship Between Depression and Metabolic Syndrome: Systematic Review and Meta-Analysis Study

2016 ◽  
Vol 18 (6) ◽  
Author(s):  
Reza Ghanei Gheshlagh ◽  
Naser Parizad ◽  
Kourosh Sayehmiri
2021 ◽  
Vol 8 (12) ◽  
pp. 162
Author(s):  
Sergio Rico-Martín ◽  
Julián F. Calderón-García ◽  
Belinda Basilio-Fernández ◽  
María Zoraida Clavijo-Chamorro ◽  
Juan F. Sánchez Muñoz-Torrero

Recent meta-analysis studies have reported that metabolic comorbidities such as diabetes, obesity, dyslipidaemia and hypertension are associated with higher risk of severe acute respiratory syndrome (SARS) and mortality in patients with COVID-19. This meta-analysis aims to investigate the relationship between metabolic syndrome (MetS) and its components with SARS and mortality in COVID-19 patients. Methods: A systematic search was conducted in the several databases up until 1 September 2021. Primary observational longitudinal studies published in peer review journals were selected. Two independent reviewers performed title and abstract screening, extracted data and assessed the risk of bias using the Newcastle–Ottawa Scale. Results: The random effects meta-analysis showed that MetS was significantly associated with SARS with a pooled OR (95% CI) of 3.21 (2.88–3.58) and mortality with a pooled OR (95% CI) of 2.32 (1.16–4.63). According to SARS, the pooled OR for MetS was 2.19 (1.71–2.67), p < 0.001; significantly higher than the hypertension component. With regard to mortality, although the pooled OR for MetS was greater than for its individual components, no significant differences were observed. Conclusions: this meta-analysis of cohort studies, showed that MetS is better associated to SARS and mortality in COVID-19 patients than its individual components.


2018 ◽  
Vol 17 (2) ◽  
pp. 357-364 ◽  
Author(s):  
Ozra Tabatabaei-Malazy ◽  
Shirin Djalalinia ◽  
Hamid Asayesh ◽  
Yalda Shakori ◽  
Mohammad Esmaeili Abdar ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Tingting Che ◽  
Cheng Yan ◽  
Dingyuan Tian ◽  
Xin Zhang ◽  
Xuejun Liu ◽  
...  

PurposeSleep duration is thought to play a key role in the development of metabolic syndrome. However, the results have been inconsistent.MethodsWe conducted a systematic review and meta-analysis of cohort studies and searched publications in PubMed, Embase, Cochrane Central Register of Controlled Trials, and Clinicaltrials.gov. The summary relative risks (RRs) were estimated using a random model. The sensitivity analysis was performed by sequentially excluding each study to test the robustness of the pooled estimates.FindingWe included 13 studies involving 300,202 patients in which short sleep and long sleep significantly increased the risk of metabolic syndrome 15% (RR = 1.15, 95%CI = 1.09-1.22, p &lt; 0.001) and 19% (RR = 1.19, 95%CI = 1.05-1.35, p &lt; 0.001). Moreover, the relationship between sleep duration and metabolic syndrome risk presented a U-shaped curve. Short and long sleep increased the risk of obesity by 14% (RR = 1.14, 95%CI = 1.07-1.22, p&lt;0.001) and 15% (RR = 1.15, 95%CI = 1.00-1.30, p = 0.04), and high blood pressure 16% (RR = 1.16, 95%CI = 1.02-1.31, p = 0.03) and 13% (RR = 1.13, 95%CI = 1.04-1.24, p = 0.01), respectively. Short sleep can potentially increase the risk of high blood sugar by 12% (RR = 1.12, 95%CI = 1.00-1.15, P = 0.05).ImplicationsBased on our findings, sleep is a behavior that can be changed and is economical. Clinically doctors and health professionals should be encouraged to increase their efforts to promote healthy sleep for all people.


2017 ◽  
Author(s):  
Ahmed M. Abdulla ◽  
Sue Hyeon Paek ◽  
Rodney Dishman ◽  
Bonnie Cramond ◽  
Mark A. Runco

2019 ◽  
Vol 118 (9) ◽  
pp. 118-126
Author(s):  
Augusty P. A ◽  
Jain Mathew

The study evaluates the relationship between Emotional Intelligence and Leadership Effectiveness through a Systematic Review of Literature. The relationship has been evaluated in two steps. First, a Systematic review of literature was done to provide a theoretical framework to link the dimensions of Emotional Intelligence to the elements of effective leadership. Meta-analysis was then used to consolidate empirical evidence of the relationship. The studies for the meta-analysis were sourced from Pro Quest and EBSCO and the correlation coefficients of the studies were analysed. Only articles that presented the direct relationship between the variables were included in the study. The results of the analysis revealed a strong, statistically significant relationship between emotional intelligence and effective leadership. The findings of the study provide evidence for the proposition that Emotional Intelligence and Leadership Effectiveness are interrelated.


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