scholarly journals The Relationship between Zinc Intake and Serum/Plasma Zinc Concentration in Children: A Systematic Review and Dose-Response Meta-Analysis

Nutrients ◽  
2012 ◽  
Vol 4 (8) ◽  
pp. 841-858 ◽  
Author(s):  
Victoria Hall Moran ◽  
Anna-Louise Stammers ◽  
Marisol Warthon Medina ◽  
Sujata Patel ◽  
Fiona Dykes ◽  
...  
Keyword(s):  
Systematic Review ◽  
Dose Response ◽  
Zinc Concentration ◽  
Meta Analysis ◽  
Plasma Zinc ◽  
Zinc Intake ◽  
Plasma Zinc Concentration ◽  
The Relationship

scholarly journals Zinc Intake and Status and Risk of Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis

Nutrients ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1027 ◽  
Author(s):  
José C. Fernández-Cao ◽  
Marisol Warthon-Medina ◽  
Victoria H. Moran ◽  
Victoria Arija ◽  
Carlos Doepking ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Zinc Concentration ◽  
Meta Analysis ◽  
Plasma Zinc ◽  
Zinc Intake ◽  
Meta Analyses

Zinc could have a protective role against type 2 diabetes mellitus (T2DM). This systematic review and meta-analysis aimed to evaluate the association between dietary, supplementary, and total zinc intake, as well as serum/plasma and whole blood zinc concentration, and risk of T2DM. Observational studies, conducted on cases of incident diabetes or T2DM patients and healthy subjects that reported a measure of association between zinc exposure and T2DM, were selected. Random effects meta-analyses were applied to obtain combined results. Stratified meta-analyses and meta-regressions were executed to assess sources of heterogeneity, as well as the impact of covariates on the findings. From 12,136 publications, 16 studies were selected. The odds ratio (OR) for T2DM comparing the highest versus lowest zinc intake from diet was 0.87 (95% CI: 0.78–0.98). Nevertheless, no association between supplementary or total zinc intake from both diet and supplementation, and T2DM was observed. A direct relationship was found between serum/plasma zinc levels and T2DM (OR = 1.64, 95% CI: 1.25–2.14). A moderately high dietary zinc intake, in relation to the Dietary Reference Intake, could reduce by 13% the risk of T2DM, and up to 41% in rural areas. Conversely, elevated serum/plasma zinc concentration was associated with an increased risk of T2DM by 64%, suggesting disturbances in zinc homeostasis.

scholarly journals Relation between Estimated Dietary Zinc Intake Using a 9-Week Dietary Record and Plasma Zinc Concentration.

1992 ◽  
Vol 45 (3) ◽  
pp. 221-226 ◽  
Author(s):  
Hiromi ISHIDA ◽  
Masakazu KIKUCHI ◽  
Tetsuro HONGO ◽  
Tsuguyoshi SUZUKI
Keyword(s):  
Zinc Concentration ◽  
Plasma Zinc ◽  
Dietary Zinc ◽  
Zinc Intake ◽  
Plasma Zinc Concentration ◽  
Dietary Record

scholarly journals The relationship between zinc intake and growth in children aged 1–8 years: a systematic review and meta-analysis

2014 ◽  
Vol 69 (2) ◽  
pp. 147-153 ◽  
Author(s):  
A-L Stammers ◽  
N M Lowe ◽  
M W Medina ◽  
S Patel ◽  
F Dykes ◽  
...  
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Zinc Intake ◽  
The Relationship

scholarly journals The J-Shaped Relationship Between Body Mass Index and Mortality in Patients With Covid-19: A Systematic Review and Dose-Response Meta-Analysis

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A28-A29
Author(s):  
Khulood Bukhari ◽  
Huei-Kai Huang ◽  
Duan-Pei Hung ◽  
Carol Chiung-Hui Peng ◽  
Ming-Chieh Shih ◽  
...  
Keyword(s):  
Systematic Review ◽  
Body Mass Index ◽  
Body Mass ◽  
Dose Response ◽  
Meta Analysis ◽  
Normal Weight ◽  
Cochrane Library ◽  
Severe Illness ◽  
Underweight Patients ◽  
The Relationship

Abstract Introduction: Several studies have linked obesity to more severe illness and higher mortality in COVID-19 patients. However, the relationship between being underweight and COVID-19 mortality remains inconclusive. Previous dose-response meta-analyses did not enroll or specifically analyze the underweight population. Herein, we conducted a systematic review and dose-response meta-analysis to investigate the relationship between body mass index (BMI) and mortality in both obese and underweight patients with COVID-19. Methods: We searched PubMed, Embase, Cochrane Library, Scopus, and Web of Science databases from inception until August 12, 2020 using the keywords “COVID-19,” “body mass index,” “obesity,” “overweight”, and “underweight.” Three reviewers independently assessed the relevant articles, including the title, abstract, and full text, to identify eligible studies. We performed a two-stage random-effects dose-response meta-analysis, including only studies with at least three quantitative classifications for BMI. The nonlinear trend was evaluated using a restricted cubic splines model with three-knots at the 10th, 50th, and 90th percentiles. A sensitivity analysis was conducted by pooling only those studies which specifically evaluated underweight patients (BMI<18.5 kg/m2). Results: Thirteen studies comprising 25,828 patients were included in the analysis. In the linear model, the mortality of patients with COVID-19 increased by 1.5% for each 1-kg/m2 increase in BMI (pooled relative risk [RR] =1.015, 95% confidence interval [CI] =1.004−1.027). However, a significant non-linear relationship between BMI and mortality was observed (Wald test: Pnon-linearity<0.001). We demonstrated a J-shaped curve, indicating that both underweight and obese patients had a higher mortality than those with normal weight. Interestingly, overweight patients (BMI, 25−30 kg/m2) seemed to have the lowest mortality risk. Using a BMI of 15 kg/m2 as the reference, the RRs of mortality decreased with BMI, and this trend continued until BMI of approximately 28 kg/m2 (RR=0.743, 95% CI=0.576−0.959). The relationship between BMI and mortality was then reversed, and an upward trend was observed when BMI exceeded 30 kg/m2; the RRs (95% CI) at BMIs 30, 35, 40, and 45 kg/m2 were 0.745 (0.570−0.974), 0.841 (0.643−1.100), 1.082 (0.850−1.377), and 1.457 (1.129−1.879), respectively. Conclusion: This study is the first dose-response meta-analysis that showed both underweight and obese COVID-19 patients are at higher risk of increased mortality. A J-curve relationship was demonstrated between BMI and COVID-19 mortality.

scholarly journals The relationship between zinc intake and serum/plasma zinc concentration in adults: a systematic review and dose–response meta-analysis by the EURRECA Network

2012 ◽  
Vol 108 (11) ◽  
pp. 1962-1971 ◽  
Author(s):  
Nicola M. Lowe ◽  
Marisol Warthon Medina ◽  
Anna-Louise Stammers ◽  
Sujata Patel ◽  
Olga W. Souverein ◽  
...  
Keyword(s):  
Systematic Review ◽  
Dose Response ◽  
Best Practice ◽  
Meta Analysis ◽  
Population Characteristics ◽  
Cochrane Library ◽  
Published Data ◽  
Quantitative Evidence ◽  
Core Content ◽  
The Relationship

Dietary Zn recommendations vary widely across Europe due to the heterogeneity of approaches used by expert panels. Under the EURopean micronutrient RECommendations Aligned (EURRECA) consortium a protocol was designed to systematically review and undertake meta-analyses of research data to create a database that includes ‘best practice’ guidelines which can be used as a resource by future panels when setting micronutrient recommendations. As part of this process, the objective of the present study was to undertake a systematic review and meta-analysis of previously published data describing the relationship between Zn intake and status in adults. Searches were performed of literature published up to February 2010 using MEDLINE, Embase and the Cochrane Library. Data extracted included population characteristics, dose of Zn, duration of study, dietary intake of Zn, and mean concentration of Zn in plasma or serum at the end of the intervention period. An intake–status regression coefficient ($\circ {>\beta }$) was estimated for each individual study, and pooled meta-analysis undertaken. The overall pooled $\circ {>\beta }$ for Zn supplementation on serum/plasma Zn concentrations from randomised controlled trials and observational studies was 0·08 (95 % CI 0·05, 0·11; P < 0·0001; I2 84·5 %). An overall $\circ {>\beta }$ of 0·08 means that for every doubling in Zn intake, the difference in Zn serum or plasma concentration is $2^{ \circ {>\beta }}$ (20·08 = 1·06), which is 6 %. Whether the dose–response relationship, as provided in the present paper, could be used as either qualitative or quantitative evidence to substantiate the daily Zn intake dose necessary to achieve normal or optimal levels of biomarkers for Zn status remains a matter of discussion.

Zinc Intake, Zinc Bioavailability and Plasma Zinc in Obese Adolescents with Clinical Insulin Resistance Following Low Energy Diets

2016 ◽  
Vol 69 (2) ◽  
pp. 135-141 ◽  
Author(s):  
Mandy Ho ◽  
Anne-Louise M. Heath ◽  
Megan Gow ◽  
Louise A. Baur ◽  
Chris T. Cowell ◽  
...  
Keyword(s):  
Zinc Concentration ◽  
Low Energy ◽  
Molar Ratio ◽  
Plasma Zinc ◽  
Zinc Intake ◽  
Plasma Zinc Concentration ◽  
Obese Adolescents ◽  
High Carbohydrate ◽  
Zinc Bioavailability ◽  
Cardiometabolic Markers

Background: Zinc has a critical role in metabolism and growth. This study aims to determine the effects of low-energy diets differing in macronutrient composition on zinc intake, estimated zinc bioavailability (phytate:zinc molar ratio) and plasma zinc concentration and associations between zinc status and cardiometabolic markers in obese adolescents with clinical insulin resistance (IR). Methods: Eighty-seven obese adolescents (10-17 years, body mass index z-score 2.3 ± 0.37) with clinical IR were randomized to a low-energy diet (6.0-8.0 MJ), which was either high carbohydrate or moderate carbohydrate with increased protein. Twenty-four-hour dietary recalls were collected at 6, 9 and 12 weeks. Plasma zinc concentration and cardiometabolic markers were assessed at baseline and 12 weeks. Results: Zinc intake did not differ between the 2 diet groups (p = 0.612). The high-carbohydrate group had a higher phytate intake (894 vs. 671 mg, p = 0.018) and phytate:zinc molar ratio (9.4 vs. 7.4, p = 0.009) than the increased-protein group. Plasma zinc concentration did not change from baseline in either of the diet groups, but correlated positively with zinc intake (r = 0.235, p = 0.042) and % energy from protein (r = 0.383, p = 0.001), and inversely with % energy from carbohydrate (r = -0.296, p = 0.010). Conclusions: Low energy diets for obese adolescents at risk of diabetes may need increased protein content to optimize zinc bioavailability.

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