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The association of household food insecurity with the risk of type 2 diabetes mellitus in adults: a systematic review and meta-analysis

Overview of attention for article published in European Journal of Nutrition, May 2018
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Title
The association of household food insecurity with the risk of type 2 diabetes mellitus in adults: a systematic review and meta-analysis
Published in
European Journal of Nutrition, May 2018
DOI 10.1007/s00394-018-1705-2
Pubmed ID
Authors

Ahmed A. Abdurahman, Eshetu E. Chaka, S. Nedjat, Ahmed Reza Dorosty, R. Majdzadeh

Abstract

The link between household food insecurity and risk of type 2 diabetes mellitus still remains controversial. Therefore, we performed a systematic review and meta-analysis to clarify the association between household food insecurity and type 2 diabetes mellitus. EMBASE, PubMed, ISI Web of Science and Scopus databases were searched up to March 2017. The selection of studies, data extraction and assessing the risk of bias in the included studies were carried out by two reviewers independently. Study-specific odds ratios (ORs) were pooled using a random effects model. A total of 18 articles including a total of 55,353,915 adult participants were included in the meta-analysis. The pooled ORs of the cross-sectional studies revealed that household food insecurity was significantly associated with the odds of T2DM (OR 1.27, 95% CI 1.11-1.42) with no evidence of publication bias (p = 0.63) but heterogeneity between studies (I2 = 61.1%). Similarly, subgroup analyses showed that the country where the study conducted and household food insecurity assessment tool used to influence the effect of household food insecurity on the odds of T2DM. However, the pooled ORs for two case-control and one cohort studies were not significantly associated between household food insecurity and T2DM in adults. This study strengthens the hypothesis of the household food insecurity effect on the odds of T2DM among adults. Further longitudinal studies based on larger, and more representative samples are needed to identify the underlying relationships between food insecurity and type 2 diabetes mellitus.

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Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 101 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 15%
Student > Master 13 13%
Student > Postgraduate 9 9%
Student > Doctoral Student 9 9%
Student > Ph. D. Student 8 8%
Other 18 18%
Unknown 29 29%
Readers by discipline Count As %
Medicine and Dentistry 21 21%
Nursing and Health Professions 17 17%
Psychology 7 7%
Social Sciences 5 5%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 8 8%
Unknown 40 40%