Dataset Information

Relationship between Insulin Levels and Nonpsychotic Dementia: A Systematic Review and Meta-Analysis.

ABSTRACT: To explore the relationship between insulin levels and nonpsychotic dementia.Six electronic databases (PubMed, Cochrane, SCI, CNKI, VIP, and Wanfang) were searched from January 1, 2007, to March 1, 2017. Experimental or observational studies that enrolled people with nonpsychotic dementia or abnormal insulin levels in which insulin levels or MMSE scores (events in nonpsychotic dementia) were the outcome measures. Random-effects models were chosen for this meta-analysis. Sample size, mean, s.d., and events were primarily used to generate effect sizes (with the PRIMA registration number CRD42017069860).50 articles met the final inclusion criteria. Insulin levels in cerebrospinal fluid were lower (Hedges' g?=?1.196, 95% CI?=?0.238 to 2.514, and P = 0.014), while the levels in peripheral blood were higher in nonpsychotic dementia patients (Hedges' g?=?0.853 and 95% CI?=?0.579 to 1.127), and MMSE scores were significantly lower in the high insulin group than in the healthy control group (Hedges' g?=?0.334, 95% CI?=?0.249 to 0.419, and P = 0.000).Our comprehensive results indicate that blood insulin levels may increase in patients with nonpsychotic dementia.

SUBMITTER: Pan QX

PROVIDER: S-EPMC5763205 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Relationship between Insulin Levels and Nonpsychotic Dementia: A Systematic Review and Meta-Analysis.

Pan Qiu-Xia QX Li Xiao-Juan XJ Liu Yue-Yun YY Wang Fang-Fang FF Hou Ya-Jing YJ Bian Qing-Lai QL Qiu Wen-Qi WQ Yan Zhi-Yi ZY Jiang You-Ming YM Chen Jia-Xu JX

Neural plasticity 20171227

<h4>Objectives</h4>To explore the relationship between insulin levels and nonpsychotic dementia.<h4>Methods</h4>Six electronic databases (PubMed, Cochrane, SCI, CNKI, VIP, and Wanfang) were searched from January 1, 2007, to March 1, 2017. Experimental or observational studies that enrolled people with nonpsychotic dementia or abnormal insulin levels in which insulin levels or MMSE scores (events in nonpsychotic dementia) were the outcome measures. Random-effects models were chosen for this meta- ...[more]

PMID: 29445549

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Project description:Background The literature suggests an increased risk between anthropometrics including higher body mass index and lymphoma incidence; however, the association with physical activity remains unclear. A systematic review/meta-analysis was therefore performed to examine this association with physical activity (total, recreational or occupational). Methods PubMed, Web of Science and Embase were reviewed from inception to October 2019 identifying relevant observational studies. Non-Hodgkin lymphoma (NHL) including subtypes diffuse large B cell lymphoma, follicular lymphoma and chronic lymphocytic leukemia/small lymphocytic lymphoma, and Hodgkin lymphoma (HL) were analyzed. Included studies reported activity, lymphoma cases, effect size and variability measures, and were restricted to human subjects of any age. Data was pooled generating summary relative risk (RR) estimates with 95% confidence intervals (CI) using random-effects models with primary outcome of histologically confirmed incident lymphoma. Results One thousand four hundred studies were initially identified with 18 studies (nine cohort, nine case-control) included in final analysis. Comparing highest vs. lowest activity categories was protective for all lymphoma (RR 0.89, 95%CI 0.81–0.98). Sensitivity analysis demonstrated effect persistence within case-control studies (RR 0.82, 95% CI 0.71–0.96), but not cohort studies (RR 0.95, 95%CI 0.84–1.07). Borderline protective effect was seen for NHL (RR 0.92, 95%CI 0.84–1.00), but not HL (RR 0.72, 95%CI 0.50–1.04). Analysis by NHL subtype or gender showed no effect. Dose response analysis demonstrated a protective effect (p?=?0.034) with a 1% risk reduction per 3 MET hours/week (RR 0.99, 95%CI 0.98–1.00). Conclusions Physical activity may have a protective effect against lymphoma development; further studies are required to generate recommendations regarding health policy. Trial registration This study was registered prospectively at PROSPERO: CRD42020156242.

Project description:Background: Burnout is a psychological syndrome characterized by emotional exhaustion, feelings of cynicism and reduced personal accomplishment. In the past years there has been disagreement on whether burnout and depression are the same or different constructs, as they appear to share some common features (e.g., loss of interest and impaired concentration). However, the results so far are inconclusive and researchers disagree with regard to the degree to which we should expect such overlap. The aim of this systematic review and meta-analysis is to examine the relationship between burnout and depression. Additionally, given that burnout is the result of chronic stress and that working environments can often trigger anxious reactions, we also investigated the relationship between burnout and anxiety. Method: We searched the online databases SCOPUS, Web of Science, MEDLINE (PubMed), and Google Scholar for studies examining the relationship between burnout and depression and burnout and anxiety, which were published between January 2007 and August 2018. Inclusion criteria were used for all studies and included both cross-sectional and longitudinal designs, published and unpublished research articles, full-text articles, articles written in the English language, studies that present the effects sizes of their findings and that used reliable research tools. Results: Our results showed a significant association between burnout and depression (r = 0.520, SE = 0.012, 95% CI = 0.492, 0.547) and burnout and anxiety (r = 0.460, SE = 0.014, 95% CI = 0.421, 0.497). However, moderation analysis for both burnout-depression and burnout-anxiety relationships revealed that the studies in which either the MBI test was used or were rated as having better quality showed lower effect sizes. Conclusions: Our research aims to clarify the relationship between burnout-depression and burnout-anxiety relationships. Our findings revealed no conclusive overlap between burnout and depression and burnout and anxiety, indicating that they are different and robust constructs. Future studies should focus on utilizing more longitudinal designs in order to assess the causal relationships between these variables.

Dataset Information

Relationship between Insulin Levels and Nonpsychotic Dementia: A Systematic Review and Meta-Analysis.

Publications

Relationship between Insulin Levels and Nonpsychotic Dementia: A Systematic Review and Meta-Analysis.

Similar Datasets

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