Objective:Food security has been suggested to be a risk factor for depression, stress and anxiety. We therefore undertook a systematic review and meta-analysis of available publications to examine these associations further.Design:Relevant studies were identified by searching Web of Science, Embase, Scopus and PubMed databases up to January 2019.Setting:OR was pooled using a random-effects model. Standard methods were used for assessment of heterogeneity and publication bias.Participants:Data were available from nineteen studies with 372 143 individual participants from ten different countries that were pooled for the meta-analysis.Results:The results showed there was a positive relationship between food insecurity (FI) and risk of depression (OR = 1·40; 95 % CI: 1·30, 1·58) and stress (OR = 1·34; 95 % CI: 1·24, 1·44) but not anxiety. Subgroup analysis by age showed that subjects older than ≥65 years exhibited a higher risk of depression (OR = 1·75; 95 % CI: 1·20, 2·56) than younger participants (OR = 1·34; 95 % CI: 1·20, 1·50), as well as a greater risk of depression in men (OR = 1·42; 95 % CI: 1·17, 1·72) than women (OR = 1·30; 95 % CI: 1·16, 1·46). Finally, subgroup analysis according to geographical location illustrated that food insecure households living in North America had the highest risk of stress and anxiety.Conclusions:The evidence from this meta-analysis suggests that FI has a significant effect on the likelihood of being stressed or depressed. This indicates that health care services, which alleviate FI, would also promote holistic well-being in adults.

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OBJECTIVE To determine the effects of soy milk consumption compared with cow’s milk on inflammation, coagulation, and oxidative stress among patients with diabetic nephropathy. RESEARCH DESIGN AND METHODS This randomized, crossover clinical trial was conducted on 25 type 2 diabetic patients with nephropathy. This study had two trial phases, each for 4 weeks and one washout period for 2 weeks. Patients were randomly assigned to consume a diet containing soy milk or a diet containing cow’s milk. RESULTS Soy milk consumption resulted in a significant reduction in d -dimer level (percent change: −3.77 vs. 16.13%; P < 0.05). This significant effect remained even after adjusting for confounding factor (carbohydrate intake). However, soy milk consumption had no significant effects on tumor necrosis factor-α, interleukin-6, high-sensitivity C-reactive protein (hs-CRP), and malondialdehyde levels. The result was near to significance regarding the effect of soy milk consumption on hs-CRP (percent change: −35.45 vs. 36.76%; P = 0.05). However, this effect was not significant after adjusting for the confounding variable (carbohydrate intake). CONCLUSIONS Soy milk consumption could decrease serum d -dimer level among type 2 diabetic patients with nephropathy. However, markers of inflammation and oxidative stress did not change following soy milk intake among these patients.

Diabetic nephropathy (DN) is one the most important complications of diabetes leading to end-stage renal disease. Dietary approaches have been considered to control of the kidney function deterioration among these patients. The aim of the present study was to determine the effects of fortified soy milk with Lactobacillus plantarum A7 on renal function biomarkers in type 2 DN patients. Forty-eight DN subjects were attended to this parallel randomized trial study. Participants were randomly assigned to consume a diet containing 200 mL/day probiotic soy milk in intervention group or soy milk in the control condition for 8 weeks. An inflammatory adipokine-Progranulin (PGRN), a cytokine receptor-soluble tumor necrosis factor receptor 1 (sTNFR1), and serum levels of Neutrophil gelatinase-associated lipocalin (NGAL) and cystatin C (Cys-C) as the new renal function biomarkers were measured after 8 weeks of intervention according to the standard protocol. Our analysis showed that consumption of probiotic soy milk resulted in a significant reduction in the Cys-C and PGRN levels compared with the soy milk (P = 0.01) in the final adjusted model. In addition, after adjustment for age, weight, and energy intake, a marginally significant in the NGAL level was seen between two groups (P = 0.05). However, there was no significant differences on the sTNFR1concenteration between two groups (P = 0.06). Overall, intake of probiotic soy milk may have a beneficial effect on the renal function in patients with DN.