scholarly journals Association of coffee drinking with all-cause mortality: a systematic review and meta-analysis

2014 ◽  
Vol 18 (7) ◽  
pp. 1282-1291 ◽  
Author(s):  
Yimin Zhao ◽  
Kejian Wu ◽  
Jusheng Zheng ◽  
Ruiting Zuo ◽  
Duo Li

AbstractObjectiveWe aimed to use the meta-analysis method to assess the relationship between coffee drinking and all-cause mortality.DesignCategorical and dose–response meta-analyses were conducted using random-effects models.SettingWe systematically searched and identified eligible literature in the PubMed and Scopus databases.SubjectsSeventeen studies including 1 054 571 participants and 131 212 death events from all causes were included in the present study.ResultsSeventeen studies were included and evaluated in the meta-analysis. A U-shaped dose–response relationship was found between coffee consumption and all-cause mortality (Pfor non-linearity <0·001). Compared with non/occasional coffee drinkers, the relative risks for all-cause mortality were 0·89 (95 % CI 0·85, 0·93) for 1–<3 cups/d, 0·87 (95 % CI 0·83, 0·91) for 3–<5 cups/d and 0·90 (95 % CI 0·87, 0·94) for ≥5 cups/d, and the relationship was more marked in females than in males.ConclusionsThe present meta-analysis of prospective cohort studies indicated that light to moderate coffee intake is associated with a reduced risk of death from all causes, particularly in women.

2021 ◽  
pp. 1-11
Author(s):  
Ran Xue ◽  
Qianwen Li ◽  
Yaping Geng ◽  
Hao Wang ◽  
Fudi Wang ◽  
...  

Abstract This meta-analysis aimed to study the relationship between abdominal obesity and the risk of CVD by waist circumference (WC), waist:hip ratio (WHR) and waist:height ratio (WHtR). We systematically searched PubMed, Embase and Web of Science. Prospective studies that estimated cardiovascular events by WC, WHR and WHtR were included in this study. Pooled relative risks with 95 % CI were calculated using random effects models. A total of thirty-one studies were included in the meta-analysis, including 669 560 participants and 25 214 cases. Compared the highest with the lowest category of WC, WHR and WHtR, the summary risk ratios were 1·43 (95 % CI, 1·30, 1·56, P < 0·001), 1·43 (95 % CI, 1·33, 1·54, P < 0·001) and 1·57 (95 % CI, 1·37, 1·79, P < 0·001), respectively. The linear dose–response analysis revealed that the risk of CVD increased by 3·4 % for each 10 cm increase of WC, and by 3·5 and 6·0 % for each 0·1 unit increase of WHR and WHtR in women, respectively. In men, the risk of CVD increased by 4·0 % for each 10 cm increase of WC, and by 4·0 and 8·6 % for each 0·1 unit increase of WHR and WHtR, respectively. Collectively, abdominal obesity is associated with an increased risk of CVD. WC, WHR and WHtR are good indicators for the prediction of CVD.


2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Cristina Masuet-Aumatell ◽  
Alba Sánchez-Mascuñano ◽  
Fernando Agüero Santangelo ◽  
Sergio Morchón Ramos ◽  
Josep Maria Ramon-Torrell

Aims. Previous epidemiological investigations of the relationship between smoking and acute mountain sickness (AMS) risk yielded inconsistent findings. Therefore, a meta-analysis of observational studies was performed to determine whether smoking is related to the development of AMS. Methods. Searches were performed on PubMed, Scopus, Embase, and Web of Science for relevant studies that were published before November 2016 reporting smoking prevalence and AMS. Two evaluators independently selected studies, extracted data, and assessed study quality. The pooled relative risks (RRs) and 95% confidence intervals (CIs) were obtained using random-effects models. Subgroup analyses were performed according to the type of participant, altitude, and study design. Results. A total of 11 observational studies involving 7,106 participants, 2,408 of which had AMS, were eligible for inclusion in this meta-analysis. The summary RR for AMS comparing smokers to nonsmokers was 1.02 (95% CI: 0.83 to 1.26). Specific analyses for altitude, type of participant, and study design yielded similar results. There was significant heterogeneity for all studies (Q=37.43; P<0.001; I2=73%, 95% CI: 51% to 85%). No publication bias was observed (Egger’s test: P=0.548, Begg’s test: P=0.418). Conclusions. The meta-analysis indicates that no difference was found in AMS risk with regard to smoking status.


2021 ◽  
pp. 1-31
Author(s):  
Raymond Pranata ◽  
Andrea Feraldho ◽  
Michael Anthonius Lim ◽  
Joshua Henrina ◽  
Rachel Vania ◽  
...  

Abstract In this systematic review and dose-response meta-analysis, we aim to assess whether coffee and tea consumption is related to the risk of glioma. We performed a systematic literature search using PubMed, Embase, Scopus, and the EuropePMC up until 1st October 2020. Exposures in this study were coffee and tea consumption. The main outcome of this study was the incidence of glioma. This study compares the association between the exposure of coffee and tea with the incidence of glioma, the results are reported in Relative Risks (RRs). There are 12 unique studies comprising of 1,960,731 participants with 2,987 glioma cases. Higher coffee consumption was associated with a statistically non-significant trend towards lower risk of glioma (RR 0.77 [0.55, 1.03], p=0.11; I2: 75.27%). Meta-regression showed that the association between coffee and glioma was reduced by smoking (p=0.029). Higher tea consumption was associated with the lower risk of glioma (RR 0.84 [0.71, 0.98], p=0.030; I2: 16.42%). Sensitivity analysis by removal of case-control studies showed that higher coffee consumption (RR 0.85 [0.72, 1.00], p=0.046; I2: 0%) and higher tea consumption (RR 0.81 [0.70, 0.93], p=0.004; I2: 0%, Pnon-linearity=0.140) were associated with lower risk of glioma. Dose-response meta-analysis showed that every 1 cup of coffee per day decreases the risk of glioma by 3% (RR 0.97 [0.94, 0.99], p=0.016, Pnon-linearity=0.054) and every 1 cup of tea per day decreases the risk of glioma by 3% (RR 0.97 [0.94, 1.00], p=0.048). This meta-analysis showed apparent association between coffee and tea intake and risk of glioma.


BMJ Open ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. e052777
Author(s):  
Yahya Mahamat-Saleh ◽  
Thibault Fiolet ◽  
Mathieu Edouard Rebeaud ◽  
Matthieu Mulot ◽  
Anthony Guihur ◽  
...  

ObjectivesWe conducted a systematic literature review and meta-analysis of observational studies to investigate the association between diabetes, hypertension, body mass index (BMI) or smoking with the risk of death in patients with COVID-19 and to estimate the proportion of deaths attributable to these conditions.MethodsRelevant observational studies were identified by searches in the PubMed, Cochrane library and Embase databases through 14 November 2020. Random-effects models were used to estimate summary relative risks (SRRs) and 95% CIs. Certainty of evidence was assessed using the Cochrane methods and the Grading of Recommendations, Assessment, Development and Evaluations framework.ResultsA total of 186 studies representing 210 447 deaths among 1 304 587 patients with COVID-19 were included in this analysis. The SRR for death in patients with COVID-19 was 1.54 (95% CI 1.44 to 1.64, I2=92%, n=145, low certainty) for diabetes and 1.42 (95% CI 1.30 to 1.54, I2=90%, n=127, low certainty) for hypertension compared with patients without each of these comorbidities. Regarding obesity, the SSR was 1.45 (95% CI 1.31 to 1.61, I2=91%, n=54, high certainty) for patients with BMI ≥30 kg/m2 compared with those with BMI <30 kg/m2 and 1.12 (95% CI 1.07 to 1.17, I2=68%, n=25) per 5 kg/m2 increase in BMI. There was evidence of a J-shaped non-linear dose–response relationship between BMI and mortality from COVID-19, with the nadir of the curve at a BMI of around 22–24, and a 1.5–2-fold increase in COVID-19 mortality with extreme obesity (BMI of 40–45). The SRR was 1.28 (95% CI 1.17 to 1.40, I2=74%, n=28, low certainty) for ever, 1.29 (95% CI 1.03 to 1.62, I2=84%, n=19) for current and 1.25 (95% CI 1.11 to 1.42, I2=75%, n=14) for former smokers compared with never smokers. The absolute risk of COVID-19 death was increased by 14%, 11%, 12% and 7% for diabetes, hypertension, obesity and smoking, respectively. The proportion of deaths attributable to diabetes, hypertension, obesity and smoking was 8%, 7%, 11% and 2%, respectively.ConclusionOur findings suggest that diabetes, hypertension, obesity and smoking were associated with higher COVID-19 mortality, contributing to nearly 30% of COVID-19 deaths.Trial registration numberCRD42020218115.


2018 ◽  
Vol 120 (10) ◽  
pp. 1081-1097 ◽  
Author(s):  
Dimitra Eleftheriou ◽  
Vassiliki Benetou ◽  
Antonia Trichopoulou ◽  
Carlo La Vecchia ◽  
Christina Bamia

AbstractThe beneficial association of the Mediterranean diet (MedDiet) with longevity has been consistently demonstrated, but the associations of MedDiet components have not been accordingly evaluated. We performed an updated meta-analysis of prospective cohort studies published up to 31 December 2017, to quantify the association of adherence to MedDiet, expressed as an index/score (MDS) and of its components with all-cause mortality. We estimated summary relative risks (SRR) and 95 % CI using random effects models. On the basis of thirty studies (225 600 deaths), SRR for the study-specific highest/lowest and per 1sd MDS increment were 0·79 (95 % CI 0·77, 0·81, Ι2=42 %, P-heterogeneity 0·02) and 0·92 (95 % CI 0·90, 0·94, Ι2 56 %, P-heterogeneity <0·01), respectively. Inversely, statistically significant associations were evident in stratified analyses by country, MDS range and publication year, with some evidence for heterogeneity across countries overall (P-heterogeneity 0·011), as well as across European countries (P=0·018). Regarding MDS components, relatively stronger and statistically significant inverse associations were highlighted for moderate/none-excessive alcohol consumption (0·86, 95 % CI 0·77, 0·97) and for above/below-the-median consumptions of fruit (0·88, 95 % CI 0·83, 0·94) and vegetables (0·94, 95 % CI 0·89, 0·98), whereas a positive association was apparent for above/below-the-median intake of meat (1·07, 95 % CI 1·01, 1·13). Our meta-analyses confirm the inverse association of MedDiet with mortality and highlight the dietary components that influence mostly this association. Our results are important for better understanding the role of MedDiet in health and proposing dietary changes to effectively increase adherence to this healthy dietary pattern.


2021 ◽  
Vol 10 (2) ◽  
pp. e50010212533
Author(s):  
Edilson Leite de Moura ◽  
Jean Moises Ferreira ◽  
Ana Caroline Melo dos Santos ◽  
Denise Macedo da Silva ◽  
Maria Lidiane Ferreira da Silva ◽  
...  

Introduction: Several studies have shown that patients with comorbidities present a poor clinical outcome of COVID-19, but the conclusions are not yet consolidated. We conducted a meta-analysis to evaluate the relationship between the preexistent conditions (comorbidities) in patients infected with SARS-CoV-2 and the outcome of COVID-19. Methods: PubMed, Science Direct, ISI Web of Science and Scopus databases were examined up to November 2020. We calculated the pooled odds ratio (OR) with 95% confidence interval, using fixed-effects or random-effects models. Results: A total of 48 retrospective cohort studies with 344,290 COVID-19 patients were included in the meta-analysis. The pooled results showed that hypertension, diabetes, cardiovascular, chronic pulmonary, chronic kidney and cerebrovascular diseases increase the risk of severity and mortality in COVID-19 patients. Moreover, malignancy was associated with an increased risk of death from COVID-19. Conclusions: The comorbidities previously mentioned may be important predictors of poor outcome of COVID-19, contributing to the prognosis of severe cases of the disease.


2019 ◽  
Author(s):  
Wolfgang Geidl ◽  
Sabrina Schlesinger ◽  
Eriselda Mino ◽  
Lorena Miranda ◽  
Klaus Pfeifer

ABSTRACTObjectiveTo investigate the relationship between post-diagnosis physical activity and mortality in patients with selected noncommunicable diseases, including breast cancer, lung cancer, type 2 diabetes (T2D), ischemic heart disease (IHD), chronic obstructive pulmonary disease (COPD), stroke, osteoarthritis, low back pain and major depressive disorders.DesignSystematic review and dose–response meta-analysis.Data sourcesPubMed, Scopus and the Web of Science were searched systematically for English publications from the inception of the platforms until August 2018. Additionally, the search was updated in August 2019.Eligibility criteriaProspective observational studies examining the relationship between at least three physical activity categories and all-cause mortality or disease-specific mortality as the primary outcome.ResultsIn total, 28 studies were included: 12 for breast cancer, 6 for T2D, 8 for IHD and 2 for COPD. The linear meta-analysis revealed that each 10 metabolic equivalent tasks (MET) h increase of physical activity per week was associated with a 22% lower mortality rate in breast cancer patients (Hazard Ratio [HR], 0.78; 95% CI: 0.71, 0.86), 12% in IHD patients (HR, 0.88; 95% CI: 0.83, 0.93), 30% in COPD patients (HR, 0.70; 95% CI: 0.45, 1.09) and 4% in T2D patients (HR, 0.96; 95% CI: 0.93, 0.99). The non-linear meta-analysis showed a regressive association with no threshold for the beneficial effect of physical activity on mortality.ConclusionHigher levels of post-diagnosis physical activity are associated with lower mortality rates in breast cancer, T2D, IHD and COPD patients, with evidence of a no-threshold and non-linear dose–response pattern.SUMMARY BOXExisting findings- Higher levels of physical activity are associated with a clear reduction in all-cause mortality in the general population.- In the general population, the shape of the dose–response curve between levels of physical activity and reduced mortality rates is characterized by a regressive, non-linear effect.New findings- Higher levels of post-diagnosis physical activity are associated with a clear reduction in all-cause mortality in adults with breast cancer, T2D, IHD and COPD.- The shape of the indication-specific dose–response curves between post-diagnosis physical activity and mortality are characterized by a regressive, non-linear association with (1) no threshold for the beneficial effect, (2) pronounced reductions of mortality for lower levels of physical activity compared to those who are physically inactive and (3) no harmful effects at higher levels of physical activity.


2013 ◽  
Vol 111 (7) ◽  
pp. 1162-1173 ◽  
Author(s):  
Youjin Je ◽  
Edward Giovannucci

Coffee consumption has been shown to be associated with various health outcomes, but no comprehensive review and meta-analysis of the association between coffee consumption and total mortality has been conducted. To quantitatively assess this association, we conducted a meta-analysis of prospective cohort studies. Eligible studies were identified by searching the PubMed and EMBASE databases for all articles published through June 2013 and reviewing the reference lists of the retrieved articles. Pooled relative risks (RR) with 95 % CI were calculated using a random-effects model. We identified twenty studies of coffee consumption and total mortality, including 129 538 cases of deaths among the 973 904 participants. The RR of total mortality for the high v. low category of coffee consumption was 0·86 (95 % CI 0·80, 0·92). The pooled RR for studies using ≥ 2–4 cups/d as a cut-off for the high category was similar to that for studies using ≥ 5–9 cups/d as the cut-off. By geographical region, the inverse association tended to be stronger for the eight studies conducted in Europe (RR 0·78, 95 % CI 0·70, 0·88) and three studies carried out in Japan (RR 0·82, 95 % CI 0·73, 0·92) than for the nine studies conducted in the USA (RR 0·92, 95 % CI 0·84, 1·00). The inverse association was similar for men (RR 0·81, 95 % CI 0·73, 0·90) and women (RR 0·84, 95 % CI 0·79, 0·89). A weak, but significant, inverse association was found with moderate coffee consumption (1–2 cups/d; RR 0·92, 95 % CI 0·87, 0·98). High decaffeinated coffee consumption was also found to be associated with a lower risk of death, but the data are limited. Our findings indicate that coffee consumption is associated with a reduced risk of total mortality.


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