Supplementary data Supplemental Table 2: Reason for exclusion of retrieved articles ReferencesReason for exclusion 1.

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Background: There are few studies which have shown inconsistent results regarding the associations between dietary acid load (DAL) and the risk of cancer. This study aimed to examine the association between DAL and prostate cancer (PC) risk among Iranian population. Methods: One hundred and twenty participants (60 controls and 60 newly diagnosed PC patients) engaged in a hospital-based case-control study. Validated 160-items semi-quantitative food frequency questionnaire (FFQ) was used to assess usual dietary intakes. DAL was calculated using potential renal acid load (PRAL) and the net endogenous acid production (NEAP). Multivariate logistic regression was used to estimate the odds ratios. Results: Both PRAL (OR=5.44; 95% CI= (2.09-14.17)) and NEAP (OR=4.88; 95% CI= (2.22-13.41)) were associated with increased risk of PC in crude model. After adjusting for potential confounders (energy intake, smoking, physical activity, ethnicity, job, education, and some drugs usage) compared to the first category, being in the third category of PRAL (OR=3.42;)) and NEAP (OR=3.88; 95% CI= (1.26-9.55)) was associated with increased risk of PC. Conclusions: Our findings suggest that DAL could be associated with increased risk of PC. However, further prospective studies with larger sample sizes and longer durations are needed to confirm these findings.

Aim: The associations between types of dietary protein intake and child anthropometric measurements have not been fully studied. Therefore, we examined dietary protein pattern in relation to anthropometric indicators among 6-year-old children.Methods: We carried out a cross-sectional study of 788 randomly selected children from health centres in Tehran, Iran. Dietary intake was assessed using a food frequency questionnaire completed by the mothers. Anthropometric measurements were based on standard protocols. Principle component analysis was performed to identify different dietary protein patterns. We used multivariate logistic regression to evaluate how these patterns were associated with child anthropometry.Results: Three dietary protein patterns were identified: pattern 1 (rich in red and processed meats, dairy products and eggs), pattern 2 (rich in fish and poultry) and pattern 3 (rich in soy and legumes). After adjusting for potential confounders (energy intake, socioeconomic status and physical activity), being in the third compared to the first tertiles of pattern 2 was associated with increased (OR = 1.57; 95% CI: 1.09-2.27; P = .01) and decreased (OR = 0.54; 95% CI: 0.32-0.92; P = .02) risk of overweight/obesity and underweight/ wasting, respectively. There was no association between other dietary patterns and risk of overweight/obesity or underweight/wasting. Conclusions:The present study showed inverse association between the fish/ white meat pattern and underweight/wasting and also a positive association between higher fish/white meat protein intake and higher risk of overweight/ obesity. Further studies are needed to confirm these results. K E Y W O R D S children, dietary protein, obesity, underweight, wasting

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