Comparisons of the Strength of Associations With Future Type 2 Diabetes Risk Among Anthropometric Obesity Indicators, Including Waist-to-Height Ratio: A Meta-Analysis

AimTo present the protocol of a systematic review and meta-analysis of the available evidence examining the association between sex hormones and type 2 diabetes risk in ageing men and women of African descent.MethodsWe shall conduct a comprehensive search of published studies that examined the association between sex hormones and type 2 diabetes risk in men and women aged ≥40 years from 01/01/1980 to 31/03/2018 with no language restriction. Databases to be searched include: PubMed, Scopus, Cochrane Library, Cumulative Index to Nursing and Allied Health, ISI Web of Science, Clinical Trial registries, Google Scholar and institutional websites such as the WHO, American Diabetes Association, International Diabetes Federation, World Diabetes Foundation, European Association for the Study of Diabetes, African Journal Online and ProQuest databases. This protocol is developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols guidelines. Independent screening for eligible studies using defined criteria and data extraction, will be completed in duplicate. Discrepancies will be resolved by consensus or consultation with a third researcher. Risk of bias of included studies will be assessed by the appropriate Cochrane risk of bias tool. The overall association estimates will be pooled using appropriate meta-analytic techniques. Heterogeneity will be assessed using Cochrane Q statistic and the inconsistency index (I2). The random effects model will be used to calculate a pooled estimate.Ethics and disseminationNo ethics clearance is required as no primary data will be collected. The systematic review and meta-analysis are part of a PhD project at WITS University (Johannesburg, South Africa) and results will be presented at conferences and published in a peer-review journal. The results will guide future population specific interventions.PROSPERO registration numberCRD42017074581.

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Waist-to-height ratio has a stronger association with cardiovascular risks than waist circumference, waist-hip ratio and body mass index in type 2 diabetes

Diabetes Research and Clinical Practice ◽

10.1016/j.diabres.2021.109151 ◽

2021 ◽

pp. 109151

Author(s):

Jiang-Feng Ke ◽

Jun-Wei Wang ◽

Jun-Xi Lu ◽

Zhi-Hui Zhang ◽

Yun Liu ◽

...

Keyword(s):

Type 2 Diabetes ◽

Body Mass Index ◽

Waist Circumference ◽

Body Mass ◽

Cardiovascular Risks ◽

Height Ratio ◽

Waist Hip Ratio ◽

Waist To Height Ratio

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Predictive value of waist-to-height ratio for the development of type 2 diabetes and impaired glucose tolerance: comparison with other anthropometric indices

Canadian Journal of Diabetes ◽

10.1016/s1499-2671(09)33251-7 ◽

2009 ◽

Vol 33 (3) ◽

pp. 283 ◽

Cited By ~ 1

Author(s):

J. Perreault ◽

G. Dagenais ◽

B. Abdous ◽

P. Poirier

Keyword(s):

Type 2 Diabetes ◽

Glucose Tolerance ◽

Impaired Glucose Tolerance ◽

Predictive Value ◽

Height Ratio ◽

Anthropometric Indices ◽

Waist To Height Ratio

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Empirically derived dietary patterns and incident type 2 diabetes mellitus: a systematic review and meta-analysis on prospective observational studies

Public Health Nutrition ◽

10.1017/s1368980015001251 ◽

2015 ◽

Vol 19 (2) ◽

pp. 230-241 ◽

Cited By ~ 30

Author(s):

Zahra Maghsoudi ◽

Reza Ghiasvand ◽

Amin Salehi-Abargouei

Keyword(s):

Diabetes Mellitus ◽

Systematic Review ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Cohort Studies ◽

Dietary Patterns ◽

Meta Analysis ◽

Diabetes Risk ◽

Phytochemical Content

AbstractObjectiveTo systematically review prospective cohort studies about the association between dietary patterns and type 2 diabetes mellitus (T2DM) incidence, and to quantify the effects using a meta-analysis.DesignDatabases such as PubMed, ISI Web of Science, SCOPUS and Google Scholar were searched up to 15 January 2015. Cohort studies which tried to examine the association between empirically derived dietary patterns and incident T2DM were selected. The relative risks (RR) and their 95 % confidence intervals for diabetes among participants with highest v. lowest adherence to derived dietary patterns were incorporated into meta-analysis using random-effects models.ResultsTen studies (n 404 528) were enrolled in the systematic review and meta-analysis; our analysis revealed that adherence to the ‘healthy’ dietary patterns significantly reduced the risk of T2DM (RR=0·86; 95 % CI 0·82, 0·90), while the ‘unhealthy’ dietary patterns adversely affected diabetes risk (RR=1·30; 95 % CI 1·18, 1·43). Subgroup analysis showed that unhealthy dietary patterns in which foods with high phytochemical content were also loaded did not significantly increase T2DM risk (RR=1·06; 95 % CI 0·87, 1·30).Conclusions‘Healthy’ dietary patterns containing vegetables, fruits and whole grains can lower diabetes risk by 14 %. Consuming higher amounts of red and processed meats, high-fat dairy and refined grains in the context of ‘unhealthy’ dietary patterns will increase diabetes risk by 30 %; while including foods with high phytochemical content in these patterns can modify this effect.

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