A U-shaped association of body mass index and all-cause mortality in heart failure patients: A dose-response meta-analysis of prospective cohort studies

Introduction: Whole grain intake has been associated with lower risks of multiple chronic conditions, but its association with mortality warrants further evaluation. Hypothesis: We performed a meta-analysis of prospective cohort studies on the association of whole grain intake with all-cause and cause-specific mortality, and tested the hypothesis that they followed inverse dose-response pattern. Methods: Published studies reporting relative risks (RRs) between whole grain consumption and mortality from Medline and Embase through August, 2015. Original results from National Health and Nutrition Examination Survey (NHANES) III and NHANES 1999-2004 were included. Whole grain ingredients (gram/day) were estimated among studies reporting RRs for ≥3 categories of whole grain intake. Results: Fourteen unique analyses were included, which consisted of 786,076 participants, 97,867 all-cause deaths, 23,957 CVD deaths, and 37,492 cancer deaths. Pooled RRs (95% confidence intervals) comparing high with low whole grain categories were 0.84 (0.80, 0.88; P <0.001, I2=74%, P heterogeneity<0.001) for all-cause mortality, 0.82 (0.79, 0.85; P <0.001, I2=0%, P heterogeneity=0.53) for CVD mortality, and 0.88(0.83, 0.94; P <0.001, I2=54%, P heterogeneity=0.02) for cancer mortality. Whole grain consumption was <50 grams/day among most studies. Dose-response meta-analysis showed strong monotonic associations between whole grain and mortality (All P nonlinearity > 0.05): RRs (95%CIs) for each 16 grams/day increase (approximately 1 serving/day) in whole grain were 0.93(0.92, 0.94) for all-cause mortality, 0.91(0.90, 0.93) for CVD mortality, and 0.95(0.94, 0.96) for cancer mortality. These findings were robust in several stratified analyses and/or sensitivity analyses. Egger’s test did not suggest significant publication bias. Conclusions: Our findings supported health benefit of increasing current whole grain intake of <1 serving/day to ≥3 servings/day as recommended by current Dietary Guidelines for Americans.

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Dietary intake of total, animal, and plant proteins and risk of all cause, cardiovascular, and cancer mortality: systematic review and dose-response meta-analysis of prospective cohort studies

BMJ ◽

10.1136/bmj.m2412 ◽

2020 ◽

pp. m2412 ◽

Cited By ~ 7

Author(s):

Sina Naghshi ◽

Omid Sadeghi ◽

Walter C Willett ◽

Ahmad Esmaillzadeh

Keyword(s):

Cardiovascular Disease ◽

Cohort Studies ◽

Dose Response ◽

Cancer Mortality ◽

Prospective Cohort ◽

Lower Risk ◽

Meta Analysis ◽

Plant Protein ◽

Prospective Cohort Studies ◽

All Cause Mortality

AbstractObjectiveTo examine and quantify the potential dose-response relation between intake of total, animal, and plant protein and the risk of mortality from all causes, cardiovascular disease, and cancer.DesignSystematic review and meta-analysis of prospective cohort studies.Data sourcesPubMed, Scopus, and ISI Web of Science until December 2019, and references of retrieved relevant articles.Study selectionProspective cohort studies that reported the risk estimates for all cause, cardiovascular, and cancer mortality in adults aged 18 or older.Data synthesisRandom effects models were used to calculate pooled effect sizes and 95% confidence intervals for the highest versus lowest categories of protein intake and to incorporate variation between studies. Linear and non-linear dose-response analyses were done to evaluate the dose-response relations between protein intake and mortality.Results32 prospective cohort studies were included in the systematic review and 31 in the meta-analysis. During the follow-up period of 3.5 to 32 years, 113 039 deaths (16 429‬ from cardiovascular disease and 22 303‬ from cancer) occurred among 715 128 participants. Intake of total protein was associated with a lower risk of all cause mortality (pooled effect size 0.94, 95% confidence interval 0.89 to 0.99, I2=58.4%, P<0.001). Intake of plant protein was significantly associated with a lower risk of all cause mortality (pooled effect size 0.92, 95% confidence interval 0.87 to 0.97, I2=57.5%, P=0.003) and cardiovascular disease mortality (pooled hazard ratio 0.88, 95% confidence interval 0.80 to 0.96, I2=63.7%, P=0.001), but not with cancer mortality. Intake of total and animal protein was not significantly associated with risk of cardiovascular disease and cancer mortality. A dose-response analysis showed a significant inverse dose-response association between intake of plant protein and all cause mortality (P=0.05 for non-linearity). An additional 3% energy from plant proteins a day was associated with a 5% lower risk of death from all causes.ConclusionsHigher intake of total protein was associated with a lower risk of all cause mortality, and intake of plant protein was associated with a lower risk of all cause and cardiovascular disease mortality. Replacement of foods high in animal protein with plant protein sources could be associated with longevity.

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Risk of type 2 diabetes in metabolically healthy people in different categories of body mass index: an updated network meta-analysis of prospective cohort studies

Journal of Cardiovascular and Thoracic Research ◽

10.15171/jcvtr.2019.43 ◽

2019 ◽

Vol 11 (4) ◽

pp. 254-263 ◽

Cited By ~ 3

Author(s):

Somayeh Tajik ◽

Atieh Mirzababaei ◽

Ehsan Ghaedi ◽

Hamed Kord-Varkaneh ◽

Khadijeh Mirzaei

Keyword(s):

Body Mass Index ◽

Cohort Studies ◽

Body Mass ◽

Prospective Cohort ◽

Reference Group ◽

Meta Analysis ◽

Normal Weight ◽

Prospective Cohort Studies ◽

Metabolically Healthy

Introduction: Risk of diabetes mellitus type 2 (T2DM) is variable between individuals due to different metabolic phenotypes. In present network meta-analysis, we aimed to evaluate the risk of T2DM related with current definitions of metabolic health in different body mass index (BMI) categories.<br /> Methods: Relevant articles were collected by systematically searching PubMed and Scopus databases up to 20 March 2018 and for analyses we used a random-effects model. Nineteen prospective cohort studies were included in the analyses and metabolically healthy normal weight (MHNW) was considered as the reference group in direct comparison for calculating indirect comparisons in difference type of BMI categories. <br /> Results: Total of 199403 participants and 10388 cases from 19 cohort studies, were included in our network meta-analysis. Metabolically unhealthy obesity (MUHO) group poses highest risk for T2DM development with 10 times higher risk when is compared with MHNW (10.46 95% CI; 8.30, 13.18) and after that Metabolically unhealthy overweight (MUOW) individuals were at highest risk of T2DM with 7 times higher risk comparing with MHNW (7.25, 95% CI; 5.49, 9.57). Metabolically healthy overweight and obese (MHOW/MHO) individuals have (1.77, 95% CI; 1.33, 2.35) and (3.00, 95% CI; 2.33, 3.85) risk ratio for T2DM development in comparison with MHNW respectively. <br /> Conclusion: In conclusion we found that being classified as overweight and obese increased the risk of T2DM in comparison with normal weight. In addition, metabolically unhealthy (MUH) individuals are at higher risk of T2DM in all categories of BMI compared with metabolically healthy individuals.

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