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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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Today, economic development is not possible without paying attention to the industrial sector. Industry is one of the infrastructural sectors of the economy that plays an important role in determining the cycles of prosperity and recession  Also, the monetary policy is one of the important macroeconomic policies of the country which due to the importance of the industrial sector in Iran's economy and the need to adopt appropriate monetary policies, this study tries to investigate the effect of monetary shocks including liquidity shock and monetary base shock on the level of activity of industrial units in the country. For this purpose, statistical data from 1978 to 2016 and a Factor augmented vector auto regressive (FAVAR) model have been used to determine the relationships and effects of shocks and their analysis. The research findings indicate that a positive monetary shock (increase in money supply) has expansionary effects on the count growth of Industries and the investment of these industries in Iran's economy. Also, the count of industries and their investment According to liquidity shocks have a faster and more stable response than monetary base shocks.