Dietary Risk Reduction Projects in Industrial Foods in Iran

SRPH Journal of Fundamental Sciences and Technology ◽

10.47176/sjfst.3.1.1 ◽

2020 ◽

Keyword(s):

Risk Factors ◽

Monitoring And Evaluation ◽

Food Labeling ◽

Traffic Light ◽

Dietary Risk Factors ◽

Dietary Risk ◽

Food Standards ◽

Fat Reduction ◽

The Status ◽

Labeling Scheme

Non-communicable diseases (NCD) are the major cause of death worldwide. High intake of salt, sugar and fat are known as main risk factors for NCD. To address the issue some projects have been implemented in the country. This study aimed to seek for the initiatives targeting salt, sugar, and fat reduction in industrial foods and the status of implementation of food labeling. Meanwhile, we searched for studies which evaluated the above mentioned projects. We conducted an extensive review in domestic sources namely reports of national plans, protocols, dissertations, and progress reports of ongoing and terminated projects as well as rules and standards of Iran Food and Drug Administration (IFDA) and Institute of Standards and Industrial Research of Iran (ISIRI). There were several main projects in the country regarding reduction of dietary risk factors in industrial foods. Traffic light food labeling scheme and restrictions on imports of palm oil or food containing it, with support from food producers and revision of food standards were main interventions which were implemented by IFDA and ISIRI, respectively. In another project implemented by National Nutrition & Food Technology Research Institute (NNFTRI) the previously mentioned projects were evaluated. Results of other related projects are presented, as well. Some important steps have taken to reduce the rate of NCDs in the country. However, to achieve the goal of 25% reduction in NCDs by 2025, having a Surveillance, Monitoring and Evaluation (SME) plan is highly suggested to supports policymakers to take decision timely and correctly towards the enhancement of the effectiveness of the program.

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Faculty Opinions recommendation of Dietary risk factors for nasopharyngeal carcinoma in Maghrebian countries.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1089507.544759 ◽

2007 ◽

Author(s):

Ellen Chang

Keyword(s):

Risk Factors ◽

Nasopharyngeal Carcinoma ◽

Dietary Risk Factors ◽

Dietary Risk

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Abstract P060: Major Dietary Risk Factors for Chronic Diseases: A Systematic Review of the Current Evidence for Causal Effects and Effect Sizes

Circulation ◽

10.1161/circ.125.suppl_10.ap060 ◽

2012 ◽

Vol 125 (suppl_10) ◽

Author(s):

Shahab Khatibzadeh ◽

Renata Micha ◽

Ashkan Afshin ◽

Mayuree Rao ◽

Mohammad Y Yakoob ◽

...

Keyword(s):

Risk Factors ◽

Dose Response ◽

Convincing Evidence ◽

Dietary Factors ◽

Causal Effects ◽

Effect Sizes ◽

Current Evidence ◽

Dietary Risk Factors ◽

Dietary Risk ◽

Meta Analyses

Background: Diet habits contribute to development of CVD and diabetes. Estimating the impact of diet on these diseases requires identification and quantification of causal effects of dietary factors. Objectives: To assess major dietary risk factors for CVD and diabetes, evaluate current evidence for causal effects, and identify the best unbiased effect estimates on risk. Methods: For multiple dietary risk factors, we evaluated WHO and similar criteria as part of the Global Burden of Diseases (GBD) study to assess probable or convincing evidence for causal effects, including consistency, dose-response, plausibility, and temporality. We performed systematic searches of online databases from 2008 to 2011, including hand-searches of references and author contacts, to identify systematic reviews and meta-analyses of well-designed observational or interventional studies. Meta-analyses were evaluated based on number of studies, design, definition of diet factors and outcomes, sample size, number of events, length of follow-up, statistical methods, evidence of bias, and control for confounders. Meta-analyses with largest numbers of studies and events and least evidence for bias were identified. Effect sizes and uncertainty were quantified per defined units of exposure, including pooling of categorical dose-response estimates using fixed-effects generalized least squares for trend estimation (GLST). Results: We identified 15 dietary risk factors having probable or convincing evidence of causal effects on CVD or diabetes. For 13, data were identified to provide the best pooled unbiased effect size on disease (Table). Conclusions: This systematic evaluation provides the best evidence-based quantitative estimates of the effects of major dietary factors on CVD and diabetes. These findings enable estimation of quantitative impacts on diseases burdens of suboptimal intakes of these factors in specific populations, and also highlight gaps in knowledge related to causality or effect sizes of other dietary factors.

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