Prevalence of underweight and wasting in Iranian children aged below 5 years: a systematic review and meta-analysis

Purpose Wasting and underweight are the 2 main indicators of children’s undernutrition. We aimed to estimate the prevalence of undernutrition at the national level in Iran. Methods We performed a search for original articles published in international and Iranian databases including MEDLINE, Web of Science, Google Scholar, Scopus, CINHAL (Cumulative Index to Nursing and Allied Health Literature), Scientific Information Database, Irandoc, Iranmedex, and Magiran during January 1989–August 2017. Seven keywords, in English and Persian, including malnutrition, protein energy malnutrition, growth disorders, underweight wasting, weight loss, children below 5 years old, and children, were used to search the databases. Results Finally, 17 articles were included in the meta-analysis, based on which the prevalence of underweight and wasting in Iranian children were estimated to be 11% and 5%, respectively. The prevalence rates of underweight among children in the central, western, southern, and northern parts of Iran and at the national level were 24%, 5%, 20%, 17%, and 6%, respectively. The prevalence rates of wasting in the central, western, southern, and northern parts of Iran and at the national level were 9%, 4%, 11%, 5%, and 4%, respectively. Conclusion Although the prevalence of underweight and wasting in Iran was low, some parts of the country showed high prevalence. The main reason behind this difference in the prevalence of malnutrition may be due to the level of development in different regions

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural sciences. Today, AI has started to advance natural sciences by improving, accelerating, and enabling our understanding of natural phenomena at a wide range of spatial and temporal scales, giving rise to a new area of research known as AI for science (AI4Science). Being an emerging research paradigm, AI4Science is unique in that it is an enormous and highly interdisciplinary area. Thus, a unified and technical treatment of this field is needed yet challenging. This work aims to provide a technically thorough account of a subarea of AI4Science; namely, AI for quantum, atomistic, and continuum systems. These areas aim at understanding the physical world from the subatomic (wavefunctions and electron density), atomic (molecules, proteins, materials, and interactions), to macro (fluids, climate, and subsurface) scales and form an important subarea of AI4Science. A unique advantage of focusing on these areas is that they largely share a common set of challenges, thereby allowing a unified and foundational treatment. A key common challenge is how to capture physics first principles, especially symmetries, in natural systems by deep learning methods. We provide an in-depth yet intuitive account of techniques to achieve equivariance to symmetry transformations. We also discuss other common technical challenges, including explainability, out-of-distribution generalization, knowledge transfer with foundation and large language models, and uncertainty quantification. To facilitate learning and education, we provide categorized lists of resources that we found to be useful. We strive to be thorough and unified and hope this initial effort may trigger more community interests and efforts to further advance AI4Science

Deaths in children under 5 years in Iran

Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if current age-specific mortality rates be continued. Under-5 mortality, a Millennium Development Goal indicator, is a leading indicator of child health and overall development. This indicator measures child survival. It also, reflects the social, economic and environmental conditions in which children (and others in society) live, including their health care, and also it is a one of health development index (HDI) in world (1, 2)

Persian Adaptation of Young Parenting Inventory-Revised (YPI-R2)

Background and purpose: Parenting styles predict early maladaptive schemas. The aim of this study was Persian adaptation and standardization of the Young Parenting Inventory-Revised (YPI-R2) among students in Tarbiat Modares University, Iran University of Medical Sciences, Allameh Tabatabai University, and Islamic Azad University, Science and Research Tehran. Materials and methods: The statistical population in this psychometric study included all university students studying in Tehran, 2020-2021 academic year. The samples were 240 people selected by convenience sampling. Data were collected using the Young Parenting Inventory- Revised (YPI-R2), Depression, Anxiety and Stress Scale (DASS-21), and Ryff Psychological Well-Being Scale (RPWBS). Data analysis was performed in SPSS V24 and Liserl-8 applying descriptive and inferential statistics. Results: Confirmatory factor analysis confirmed the six-factor structure of this scale, including competitiveness and status seeking, degradation and rejection, emotional inhibition and deprivation, overprotection, punitiveness, and controlling. Cronbach's alpha coefficient and test-retest reliability coefficient based on mothers' scores for the whole scale were 0.93 and 0.90, respectively, and Cronbach's alpha coefficient and test-retest reliability coefficient based on fathers' scores for the whole scale were 0.93 and 0.91, respectively. The YPI-R2 was found to have a positive and significant correlation with the components of the DASS-21(P<0.05) and a negative correlation with the components of the RPWBS (P<0.05), which indicated the convergent and divergent validity of the scale. Conclusion: The Persian version of Young Parenting Inventory-Revised (YPI-R2) showed good validity and can be used as a short and valid diagnostic tool in clinical work and research

Avoidable Burden of Risk Factors for Serious Road Traffic Crashes in Iran: A Modeling Study

Objectives The aim of this study was to model the avoidable burden of the risk factors of road traffic crashes in Iran and to prioritize interventions to reduce that burden. Methods The prevalence and the effect size of the risk factors were obtained from data documented by the traffic police of Iran in 2013. The effect size was estimated using an ordinal regression model. The potential impact fraction index was applied to calculate the avoidable burden in order to prioritize interventions. This index was calculated for theoretical, plausible, and feasible minimum risk level scenarios. The joint effects of the risk factors were then estimated for all the scenarios. Results The highest avoidable burdens in the theoretical, plausible, and feasible minimum risk level scenarios for the non-use of child restraints on urban roads were 52.25, 28.63, and 46.67, respectively. In contrast, the value of this index for speeding was 76.24, 37.00, and 62.23, respectively, for rural roads. Conclusions On the basis of the different scenarios considered in this research, we suggest focusing on future interventions to decrease the prevalence of speeding, the non-use of child restraints, the use of cell phones while driving, and helmet disuse, and the laws related to these items should be considered seriously

Geographic distribution of the incidence of colorectal cancer in Iran: a population-based study

OBJECTIVES Colorectal cancer (CRC) is the third most common cancer and the fourth most common cause of cancer death in the world. The aim of this study was to investigate the provincial distribution of the incidence of CRC across Iran. METHODS This epidemiologic study used data from the National Cancer Registry of Iran and the Center for Disease Control and Prevention of the Ministry of Health and Medical Education of Iran. The average annual age-standardized rate (ASR) for the incidence of CRC was calculated for each province. RESULTS We found that adenocarcinoma (not otherwise specified) was the most common histological subtype of CRC in males and females, accounting for 81.91 and 81.95% of CRC cases, respectively. Signet ring cell carcinoma was the least prevalent subtype of CRC in males and females and accounted for 1.5 and 0.94% of CRC cases, respectively. In patients aged 45 years or older, there was a steady upward trend in the incidence of CRC, and the highest ASR of CRC incidence among both males and females was in the age group of 80-84 years, with an ASR of 144.69 per 100,000 person-years for males and 119.18 per 100,000 person-years for females. The highest incidence rates of CRC in Iran were found in the central, northern, and western provinces. Provinces in the southeast of Iran had the lowest incidence rates of CRC. CONCLUSIONS Wide geographical variation was found in the incidence of CRC across the 31 provinces of Iran. These variations must be considered for prevention and control programs for CRC, as well as for resource allocation purposes

A Cross-sectional Study for Determinations of Prevention Behaviors of Domestic Accidents in Mothers with Children Less than 5- year

Background: Accidents are the first cause of death in children under 5- year, especially in low- and middle-income countries. The aim of this study was to identify the determinants of prevention behavior of domestic accidents in mothers of children fewer than 5 years old based on protection motivation theory )PMT(. Materials and Methods: In this cross-sectional descriptive-analytic study, 190 mothers were randomly selected. The data collection tool was researcher made questionnaire about prevention behaviors of home accidents in children less than five years based on the structures of protection motivation theory.then collected data entered in the software SPSS-22 and were analyzed using descriptive and analytical statistical tests. Results: Mean of perceived response efficacy was in good level and mean of other structures of PMT were in moderate level. There was a significant correlations between the scores of perceived vulnerability (r=.39,