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Background & aim: Given recent demographic changes, Iran has revised its reproductive health (RH) programs. To respond to the need for monitoring the new programs and policies, this study aimed to identify appropriate indicators for RH and population programs monitoring in the Iranian context.Methods: A mixed-methods approach was applied which was conducted in four phases: identification of goals of RH policies and programs, a scoping review of the RH indicators, developing and ranking the identified indicators, and indicators' finalization. The final indicators were selected through consensus, with a cut-off point of 75%. Data was collected from June 21, 2020, until February 18, 2021. Data analysis was conducted simultaneously during each stage of the study. MAXQDA.11 and MS Excel 2017 software were used in the first and third phases for data analysis. Results: A total of 37 RH indicators were finalized after three rounds of screening. The first five indicators with the highest score were: total fertility rate, population under 15 years, total population, population aged 65 years and older, and age-specific fertility rate. The lowest score was related to the recuperation index (degree of recuperation relative to fertility decline at younger ages).Conclusion: The nature and number of indicators might vary at different organizational levels; so, the need to develop specific indicators is pivotal.

Background: Due to importance of maternal weight during pregnancy and the possible role of dairy on weight modification, the aim of this study is determining the pre-pregnancy weight status and its relation with dairy intake in Tehran pregnant women. Materials and methods: In this cross-sectional study 185 women of childbearing age were selected using systematic sampling in Tehran. High-fatand low-fat dairy consumption was determined with a 168 item validated semi-quantitative food frequency questionnaire. Weight and height were measured using standard methods. The relation between qualitative variables was calculated by Chi Square test, and ANOVA for qualitative-quantitative variables and multi variable regression was used for estimating odds ratio and confidence interval of 95%. Women In the second quarter of total energy intake from dairy products had significantly higher weight gain during pregnancy (P