ObjectiveThe socioeconomic status (SES) is as a symbol of social determinants of health which has a dominant influence on population health. The purpose of this study was collecting, weighing, and determining the most relevant SES measurement items in Iran.ResultsThe SES health studies conducted in Iran was searched from 2007 to 2017. First, the SES items were categorized. Then, each item was weighed based on its reliability and generalizability. Finally, the necessity of items was determined, weighed, and ranked. This is the two-round Delphi technique. After weighing 57 SES items, 37 items were selected with ≥ 1 weight and classified in 7 categories. According to the Delphi evaluation, 15 items were identified ≥ 3.5 for measuring SES of Iranian households: household size, head of household education, head of household job, household monthly income, type of school that children attend, house ownership, local value of residence, number of rooms in the house, house area, personal computer/laptop, smart cell phone, 3D TV, dishwasher, microwave, and car ownership. The SES items for the present society are categorized in 7 domains. The items collected in this study have the most comprehension of all studies related to income, life facilities, and assets.

Background: Increasing social welfare and reducing poverty are to ensure the well-being of all classes of a society. Cities and villages are distinguished by cultural and economic disparities. The purpose of this study was to develop and present a comprehensive model on welfare and wealth components and their relationship with each other, as well as determining the contributing factors and variables affecting them by presenting a comprehensive model. Methods: The components of wealth and welfare were determined based on the national data comprising 19261 rural and 18701 urban household participants. Initially, the conceptual model was drawn. Later, observed and latent variables of the model were analyzed and tested using AMOS software, in two exploratory and confirmatory factor analyses. Finally, the Structural Equation Modeling was used to analyze the data and investigate the causal relationship of latent variables.Results: The findings showed that the factors generating wealth in the urban initiate from education and lead to employment and then into income and ultimately provide wealth and welfare. Plus, there is no separation between the concept of welfare and wealth in urban society. However, land ownership is the prerequisite for wealth and welfare issues in a rural community. Moreover, wealth and welfare are two distinct phenomena in rural areas. Conclusions: The results of this study would provide the clear hints for effective policy making to resolve deprivation and poverty in Iranian rural and urban populations, prioritizing education for urban and land ownership for rural areas.

Background: Today, the impact of oral health on indicators of quality of life is of great importance. As few studies have evaluated dental students who are future dentists of a society, this study was performed to assess the impact of awareness on oral health-related quality of life on first, third- and sixth-year Shahid Beheshti dental students in 2017-2018. Methods: This descriptive cross-sectional and analytical study was conducted on 220 Shahid Beheshti dental students. The required data was collected by using a sociodemographic questionnaire (including gender, academic year indicating level of awareness, and GPA) and Persian version of oral health-related quality of life questionnaire, OHIP-14. The questionnaires’ scores were compared by one-way analysis of variance (ANOVA) or Welch’s t-test. Results: The average total score of OHIP-14 questionnaire in dental students was 8.26 (SD=7.41). A significant relationship between the academic year and oral health-related quality of life was not noticed except in “Psychological Discomfort” domain where oral health-related quality of life deteriorated with an increase in the academic year (p=0.0001). Conclusion: Oral health-related quality of life in dental students did not change significantly with an increase in the academic year except in “Psychological Discomfort” domain.

Background: Socioeconomic status (SES) is a criterion consisting of several components that encompass socioeconomic and cultural dimensions. This study aimed to design and develop a methodological guideline for calculating a single summary index (SSI) using the contributing variables of SES in a family unit. Methods: The data consisted of 18700 urban and 19200 rural households. Effective components of SES were extracted using two-step factor analysis and the structural equational modeling (SEM) method for both populations separately with AMOS software. Then, in order to customize and validate the weight of each component, the analytic hierarchy process (AHP) method was performed by a panel of experts. Finally, the SES index computational tool was developed as an SSI using all effective components by Excel software. Statistical analysis was done with SPSS software version 21. Results: In rural areas, the four wealth components of education, job, income, and family size were recognized as effective socioeconomic factors. Yet, in urban areas, family size was disregarded as an effective factor. In both rural and urban communities the three welfare components of appropriate nutrition, appropriate home appliance, and appropriate housing were similarly effective. The SES of rural population had a homogeneous distribution, while urban population did not follow a particular trend. Conclusion: The SES index impacts all aspects of life, especially health status. The introduced method is comprehensive and applicable to both rural and urban populations. Due to ever-changing lifestyles, constant technological advances, and sociopolitical changes in each society, the tool requires modification in a specific time intervals.