scholarly journals Food insecurity is an important risk factor for type 2 diabetes: a case-control study of new referrals to the University clinics, Shiraz, Southern Iran

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Narjes Najibi ◽  
Roya Firoozi ◽  
Shaghayegh Shahrezaee ◽  
Mohammadreza Eshraghian ◽  
Milad Daneshi-Maskooni ◽  
...  
Author(s):  
Hamideh Janzadeh ◽  
Hassan Mozaffari-Khosravi ◽  
Maryam Javadi

Background: Considering that food insecurity can be a precursor to health and nutrition problems, determining its associated factors seems necessary in any society. The purpose of this case-control study was to determine the food insecurity, c-reactive protein (CRP), and some socio-economic factors in type 2 diabetic patients. Methods: The present study was conducted on 200 people with type 2 diabetes mellitus (T2DM) and 200 healthy individuals within the age range of 30 to 59 years. Food security was assessed using the US Department of Agriculture Household Food Security questionnaire. Anthropometric index, physical activity, and biochemical factors were measured by questionnaire and blood test. Results: The prevalence of food insecurity was 71% within the diabetic patients, of which, 65.5% had food insecurity without hunger, 3.5% had food insecurity with moderate hunger, and 2% had food insecurity with severe hunger. In addition, 24.9% of the participants were healthy. The level of fasting blood glucose and inflammatory factors (CRP, WBC) were significantly higher in food insecure participants compared to the healthy individuals (P < 0.05). Multivariate logistic analysis showed that food insecurity, BMI > 25, occupational status, economic status, and education level were significantly correlated with T2DM (P < 0.001). Conclusion: As a result, health care providers should take measures to reduce the food insecurity in the community, specifically within T2DM patients. To this end, the individuals' economic status should be improved and the household food patterns should be modified.


2016 ◽  
Vol 5 (72) ◽  
pp. 5253-5256
Author(s):  
Subbaiah Vasan Chandrakumar ◽  
Ponnusamy Thiyagarajan ◽  
Amit Jain K ◽  
Thangaraj Murugalakshmi ◽  
Srinivasan Muralikrishnan

Gut ◽  
2012 ◽  
Vol 61 (Suppl 2) ◽  
pp. A220.2-A221
Author(s):  
N Burr ◽  
R Talboys ◽  
S Savva ◽  
M P Lewis ◽  
S Rushbrook ◽  
...  

2014 ◽  
Vol 15 (1) ◽  
Author(s):  
Steven H Hendriks ◽  
Peter R van Dijk ◽  
Klaas H Groenier ◽  
Peter Houpt ◽  
Henk JG Bilo ◽  
...  

2016 ◽  
Vol 22 ◽  
pp. 183
Author(s):  
Shahjada Selim ◽  
Shahjada Selim ◽  
Shahabul Chowdhury ◽  
Mohammad Saifuddin ◽  
Marufa Mustary ◽  
...  

2018 ◽  
Vol 13 (3) ◽  
pp. 215-221 ◽  
Author(s):  
Francesco Ursini ◽  
Salvatore D`Angelo ◽  
Emilio Russo ◽  
Giorgio Ammerata ◽  
Ludovico Abenavoli ◽  
...  

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e044486 ◽  
Author(s):  
Per Svensson ◽  
Robin Hofmann ◽  
Henrike Häbel ◽  
Tomas Jernberg ◽  
Per Nordberg

AimsThe risks associated with diabetes, obesity and hypertension for severe COVID-19 may be confounded and differ by sociodemographic background. We assessed the risks associated with cardiometabolic factors for severe COVID-19 when accounting for socioeconomic factors and in subgroups by age, sex and region of birth.Methods and resultsIn this nationwide case–control study, 1.086 patients admitted to intensive care with COVID-19 requiring mechanical ventilation (cases), and 10.860 population-based controls matched for age, sex and district of residency were included from mandatory national registries. ORs with 95% CIs for associations between severe COVID-19 and exposures with adjustment for confounders were estimated using logistic regression. The median age was 62 years (IQR 52–70), and 3003 (24.9%) were women. Type 2 diabetes (OR, 2.3 (95% CI 1.9 to 2.7)), hypertension (OR, 1.7 (95% CI 1.5 to 2.0)), obesity (OR, 3.1 (95% CI 2.4 to 4.0)) and chronic kidney disease (OR, 2.5 (95% CI 1.7 to 3.7)) were all associated with severe COVID-19. In the younger subgroup (below 57 years), ORs were significantly higher for all cardiometabolic risk factors. The risk associated with type 2 diabetes was higher in women (p=0.001) and in patients with a region of birth outside European Union(EU) (p=0.004).ConclusionDiabetes, obesity and hypertension were all independently associated with severe COVID-19 with stronger associations in the younger population. Type 2 diabetes implied a greater risk among women and in non-EU immigrants. These findings, originating from high-quality Swedish registries, may be important to direct preventive measures such as vaccination to susceptible patient groups.Trial registration numberClinicaltrial.gov (NCT04426084).


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