Extent of Primary DNA Damage Measured by the Comet Assay in Health Professionals Exposed to Antineoplastic Drugs: A Systematic Review and Meta-Analysis

Gianfredi, Vincenza; Nucci, Daniele; Fatigoni, Cristina; Salvatori, Tania; Villarini, Milena; Moretti, Massimo

doi:10.3390/ijerph17020523

Cited by 13 publications

(14 citation statements)

References 49 publications

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“…We assessed publication bias with funnel plot visual inspection (Higgins et al, 2011) and the Begg and Mazumdar (1994) and Egger et al (1997) tests. A 'trim and fill' method was used if publication bias was detected (Duval and Tweedie, 2000;Gianfredi et al, 2020) to estimate potential missing studies which contribute to the funnel plot's asymmetry (Sutton et al, 2000). This method assumes that the most extreme ES studies have not been reported, biasing the overall ES estimates (Shi and Lin, 2019).…”

Section: Data Pooling and Meta-analysismentioning

confidence: 99%

Does retirement trigger depressive symptoms? A systematic review and meta-analysis

Odone

Gianfredi

Vigezzi

et al. 2021

Epidemiol Psychiatr Sci

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Aims Retirement is a major life transition that may improve or worsen mental health, including depression. Existing studies provide contradictory results. We conducted a systematic review with meta-analysis to quantitatively pool available evidence on the association of retirement and depressive symptoms. Methods We applied PRISMA guidelines to conduct a systematic review and meta-analysis to retrieve, quantitatively pool and critically evaluate the association between retirement and both incident and prevalent depression and to understand better the potential role of individual and contextual-level determinants. Relevant original studies were identified by searching PubMed, Embase, PsycINFO and the Cochrane Library, through 4 March 2021. Subgroup and sensitivity meta-analyses were conducted by gender, study design (longitudinal v. cross-sectional studies), study quality score (QS) and considering studies using validated scales to diagnose depression. Heterogeneity between studies was evaluated with I2 statistics. Results Forty-one original studies met our a priori defined inclusion criteria. Meta-analysis on more than half a million subjects (n = 557 111) from 60 datasets suggested a protective effect of retirement on the risk of depression [effect size (ES) = 0.83, 95% confidence interval (CI) = 0.74–0.93], although with high statistical heterogeneity between risk estimates (χ2 = 895.19, df = 59, I2 = 93.41%, p-value < 0.0001). Funnel plot asymmetry and trim and fill method suggested a minor potential publication bias. Results were consistent, confirm their robustness and suggest stronger protective effects when progressively restricting the included studies based on quality criteria: (i) studies with the highest QS [55 datasets, 407 086 subjects, ES = 0.81, 95% CI = 0.71–0.91], (ii) studies with a high QS and using validated assessment tools to diagnose depression (44 datasets, 239 453 subjects, ES = 0.76, 95% CI = 0.65–0.88) and (iii) studies of high quality, using a validated tool and with a longitudinal design (24 datasets, 162 004 subjects, ES = 0.76, 95% CI = 0.64–0.90). We observed a progressive reduction in funnel plot asymmetry. About gender, no statistically significant difference was found (females ES = 0.79, 95% CI = 0.61–1.02 v. men ES = 0.87, 95% CI = 0.68–1.11). Conclusions Pooled data suggested that retirement reduces by nearly 20% the risk of depression; such estimates got stronger when limiting the analysis to longitudinal and high-quality studies, even if results are affected by high heterogeneity. As retirement seems to have an independent and protective effect on mental health and depressive symptoms, greater flexibility in retirement timing should be granted to older workers to reduce their mental burden and avoid the development of severe depression. Retirement may also be identified as a target moment for preventive interventions, particularly primary and secondary prevention, to promote health and wellbeing in older ages, boosting the observed impact.

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Section: Data Pooling and Meta-analysismentioning

confidence: 99%

Does retirement trigger depressive symptoms? A systematic review and meta-analysis

Odone

Gianfredi

Vigezzi

et al. 2021

Epidemiol Psychiatr Sci

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“…The data extraction spreadsheet was piloted on 10 randomly selected papers and modified accordingly. As done before [23][24][25], both qualitative and quantitative data was extracted from the original studies. Qualitative data recorded included the following items: name of first author and year of publication, country where the study was conducted and period during which the study was performed, device used to measure PA and tool used for depression diagnosis.…”

Section: Study Selection and Data Extractionmentioning

confidence: 99%

Depression and Objectively Measured Physical Activity: A Systematic Review and Meta-Analysis

Gianfredi

Blandi

Cacitti

et al. 2020

IJERPH

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Depression is a major contributor to the overall global burden of disease, with high prevalence and relapse rate. Several factors have been considered in order to reduce the depression burden. Among them, physical activity (PA) showed a potential protective role. However, evidence is contrasting probably because of the differences in PA measurement. The aim of this systematic review with meta-analysis is to assess the association between objectively measured PA and incident and prevalent depression. The systematic review was conducted according to methods recommended by the Cochrane Collaboration and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Relevant papers published through 31 August 2019 were identified searching through the electronic databases PubMed/MEDLINE, Excerpta Medica dataBASE (Embase), PsycINFO, Scopus, Web of Science (WoS), and the Cochrane Library. All analyses were conducted using ProMeta3. Finally, 42 studies met inclusion criteria. The overall Effect size (ES) of depression for the highest vs. the lowest level of PA was −1.16 [(95% CI = −1.41; −0.91), p-value < 0.001] based on 37,408 participants. The results of the meta-analysis showed a potential protective effect of PA on prevalent and incident depression.

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“…Statistical significance was set at p < 0.10 [46]. A "trim and fill" method was used if publication bias was detected [47]. The "trim and fill" method is a statistical approach used to adjust for publication bias [48].…”

Section: Meta-analysismentioning

confidence: 99%

Red and Processed Meat Consumption and Risk of Depression: A Systematic Review and Meta-Analysis

Nucci

Fatigoni

Amerio

et al. 2020

IJERPH

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Depression is one of the leading causes of disability worldwide, with more than 264 million people affected. On average, depression first appears during the late teens to mid-20s as result of a complex interaction of social, psychological and biological factors. The aim of this systematic review with meta-analysis is to assess the association between red and processed meat intake and depression (both incident and prevalent). This systematic review was conducted according to the methods recommended by the Cochrane Collaboration and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Relevant papers published through March 2020 were identified by searching the electronic databases MEDLINE, Embase and Scopus. All analyses were conducted using ProMeta3 software. A critical appraisal was conducted. Finally, 17 studies met the inclusion criteria. The overall effect size (ES) of depression for red and processed meat intake was 1.08 [(95% CI = 1.04; 1.12), p-value < 0.001], based on 241,738 participants. The results from our meta-analysis showed a significant association between red and processed meat intake and risk of depression. The presented synthesis will be useful for health professionals and policy makers to better consider the effect of diet on mental health status.

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Extent of Primary DNA Damage Measured by the Comet Assay in Health Professionals Exposed to Antineoplastic Drugs: A Systematic Review and Meta-Analysis

Cited by 13 publications

References 49 publications

Does retirement trigger depressive symptoms? A systematic review and meta-analysis

Does retirement trigger depressive symptoms? A systematic review and meta-analysis

Depression and Objectively Measured Physical Activity: A Systematic Review and Meta-Analysis

Red and Processed Meat Consumption and Risk of Depression: A Systematic Review and Meta-Analysis

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