Confirmatory factor analysis and gender invariance of Persian version of the modified Yale food addiction scale (mPYFAS) 2.0: insight from a large scale Iranian sample.

BACKGROUND: The Modified Yale Food Addiction Scale 2.0 (mYFAS 2.0) was developed with the primary objective of evaluating food addiction (FA). The present study aimed to undertake the translation, pilot testing, and evaluation of the psychometric properties of the mYFAS 2.0 within the Persian-speaking population. METHODS: The transcultural adaptation of the mYFAS 2.0 to the Persian language was conducted. Data collection was carried out through an anonymous online questionnaire. Participants completed the Persian versions of the mYFAS 2.0, Binge Eating Scale (BES), Barratt Impulsivity Scale (BIS-11), and Connor-Davidson Resilience Scale (CD-RISC). The assessment encompassed the evaluation of internal consistency reliability, factor structure, as well as convergent and discriminant validity of the aforementioned questionnaires. RESULTS: Confirmatory factor analysis revealed that the single-factor model of the Persian translation of mYFAS 2.0 performed satisfactorily, with comparative fit index (CFI) and Tucker-Lewis index (TLI) values exceeding 0.95, standardized root mean square residual (SRMR) less than or equal to 0.09, and root mean square error of approximation (RMSEA) below 0.03. The internal consistency and composite reliability of the mYFAS 2.0 were favorable in the entire sample, as well as in both male and female groups, with alpha (α) values of 0.83, ordinal alpha (αord) of 0.93, and composite reliability (CR) of 0.86. Additionally, significant relationships were observed between the total score of BES (r = 0.59, p < 0.001), BIS-11 (r = - 0.16, p < 0.001), and CD-RISC (r = 0.22, p < 0.001) with mYFAS 2.0-diagnosed FA presence, severity, and symptom count. CONCLUSIONS: The Persian version of the mYFAS 2.0 exhibited satisfactory psychometric properties.

In this study, researchers developed a Persian version of the Modified Yale Food Addiction Scale 2.0 (mYFAS 2.0) to assess food addiction in Persian-speaking individuals. They translated and tested the scale's reliability and validity through an online survey with 9606 Persian speaking participants. The results showed that the Persian mYFAS 2.0 performed well, with a reliable single-factor model. The internal consistency and reliability were good across the entire sample and in both male and female groups. The relationships between mYFAS 2.0 and other scales measuring binge eating, impulsivity, and resilience were significant. The findings suggest that the Persian version of mYFAS 2.0 is a reliable tool for assessing food addiction in the Persian-speaking population. The study used statistical analyses like confirmatory factor analysis, indicating the scale's robustness. Overall, the psychometric properties of the Persian mYFAS 2.0 were satisfactory, providing a valuable instrument for researchers and healthcare professionals studying and addressing food addiction in this population. The study contributes to cross-cultural research and enhances our understanding of food addiction in diverse linguistic communities.

National and regional economic inequalities in first- and second-hand tobacco consumption among women of reproductive ages in Iran.

INTRODUCTION: The epidemic of tobacco consumption is one of the major public health threats the world has been facing so far. This study was performed to investigate the economic inequalities in tobacco consumption among women of reproductive ages at national and regional levels in Iran. METHODS: We used data from 10,339 women of reproductive ages (18-49 years) who participated in Iran's 7th Non-Communicable Disease Risk Factor Surveillance (STEPS). Wagstaff normalized concentration index and decomposition method were applied to measure economic inequalities in first- and second-hand tobacco consumption and determine their corresponding contributory factors, respectively. RESULTS: The prevalence of women's first-hand tobacco consumption, and their exposure to second-hand smoke in the home, and workplace were 3.6%, 28.3%, and 8.4%, respectively. First- and second-hand tobacco consumption was significantly more concentrated among low-economic women. Exposure to home second-hand smoke, education, and economic status had the largest contributions to the measured inequality in first-hand tobacco consumption (48.9%, 38.9%, and 30.8%, respectively). The measured inequality in women's secondhand smoke exposure at home was explained by their level of education (43.8%), economic status (30.3%), and residency in rural areas (18%), and at work by residency in rural areas (42.2%), economic status (38.8%), and level of education (32%). Our results also revealed diversity in the geographical distribution of inequalities in rural and urban areas and five regions of the country. CONCLUSION: The present study highlighted the need for more enforcement of tobacco control rules and increasing tobacco taxes as general measures. Furthermore, there is a need for gender-sensitive initiatives at national and regional levels to educate, support, and empower low-economic women and households for tobacco cessation, and complying with restrictive smoking rules.

Economic inequalities in decayed, missing, and filled first permanent molars among 8-12 years old Iranian schoolchildren.

BACKGROUND: First permanent molars (FPM) play an important role in the masticatory function and oral health. This study aimed to assess the economic inequalities of FPM health indices among schoolchildren in the northeast of Iran. METHODS: A total of 4051 children aged 8-12 years old were included in the analyses of this cross-sectional study in 2015. Economic status was measured using the principal component analysis on home assets. Concentration index (C) was used to measure economic inequality in FPM health indices, and its contributing factors determined by Wagstaff decomposition technique. RESULTS: The prevalence of having decayed, missing, and filled FPMs among children was 40.9% (95% CI: 38.8-43.0), 1.2% (95% CI: 0.8-1.6%), and 7.8% (95% CI: 6.7-8.9%), respectively. Missing FPM was generally more concentrated among low-economic children (C=-0.158), whereas, filled FPM was more concentrated on high-economic children (C = 0.223). Economic status, mother education, having a housekeeper mother, and overweight/obesity, contributed to the measured inequality in missing FPM by 98.7%, 97.5%, 64.4%, and 11.2%, respectively. Furthermore, 88.9%, 24.1%, 14.5%, and 13.2% of filled FPM inequality was attributable to children's economic status, father education, residence in rural areas, and age, respectively. CONCLUSION: There is a significant economic inequality in both missing and filled FPM. This inequality can be attributed to the economic status of individuals. To reduce FPM extraction, it is important to target low-income and rural children and provide them with FPM restoration services. Additionally, it is necessary to provide training to less-educated parents and housekeeper mothers to address the observed inequalities.

Factors Explaining the Change in Socioeconomic Inequality of Disability in Iran: A Repeated Cross-sectional Study.

Background: More than 15% of the world's population live with some form of disability. Assessing socioeconomic inequalities in disability and monitoring its change over time can help policymakers to design and implement targeted interventions to reduce these inequalities. This study aimed to assess the change in socioeconomic inequality in disability in Iran from 2000 to 2010. Methods: Data for this cross-sectional study were obtained from 2 waves of Iran's demographic and health surveys (2000 and 2010). The Wagstaff normalized concentration index was used to measure the socioeconomic inequality of disability. Contributing factors to the inequality in 2000 and 2010 were investigated by concentration index decomposition. The Blinder-Oaxaca decomposition method was used to determine contributing factors of change in disability inequality. All analyses were conducted in Stata14. Results: The negative and statistically significant concentration indices (-0.132 in 2000 and -0.165 in 2010, P < 0.001) suggested more concentration of disability among poor people. The absolute value of inequality was increased by 0.034 between the 2 points of time (P = 0.025). Level of education (123.5%), household size (12.9%), age (-35.1%), and residency (in terms of Iran's provinces) (-19.3%) were the contributing factors to the measured disability inequality in 2000. In 2010, level of education (105.8%), household size (30.5%), and urban residency (-46.3%) explained the measured inequality. Change in disability inequality was explained by household size (99.4%), province of residence (54.8%), education (36.9%), socioeconomic status (20%), urban residency (-90.3%), and age (-47.7%). Conclusion: Iran suffers from significant socioeconomic inequality in disability, and it significantly increased over time. Interventions such as increasing health literacy and providing suitable job opportunities for people with low education level, improving the socioeconomic status of extended households, and paying more attention to the balanced development in the provinces and urban and rural areas, and attending to prevention, treatment, and mitigation of disability adversities among poor young and elderly people could be recommended to tackle increased socioeconomic inequality in disability and its unfavorable consequences in Iran.

Socioeconomic inequalities in employees' health-enhancing physical activity: Evidence from the SHAHWAR cohort study in Iran.

BACKGROUND: Increasing level of physical activity (PA) among working population is of particular importance, because of the high return of investment on employees' PA. This study was aimed to investigate socioeconomic inequalities in Health-Enhancing Physical Activity (HEPA) among employees of a Medical Sciences University in Iran. METHODS: Data were extracted from the SHAHWAR Cohort study in Iran. Concentration index (C) and Wagstaff decomposition techniques were applied to determine socioeconomic inequality in the study outcomes and its contributors, respectively. RESULTS: Nearly half of the university employees (44.6%) had poor HEPA, and employees with high socioeconomic status (SES) suffered more from it (C = 0.109; 95% CI: 0.075, 0.143). Also, we found while poor work-related PA (C = 0.175; 95% CI: 0.142, 0.209) and poor transport-related PA (C = 0.081, 95% CI: 0.047, 0.115) were more concentrated among high-SES employees, low-SES employees more affected by the poor PA at leisure time (C = -0.180; 95% CI: -0.213, -0.146). Shift working, and having higher SES and subjective social status were the main factors that positively contributed to the measured inequality in employees' poor HEPA by 33%, 31.7%, and 29%, respectively, whereas, having a married life had a negative contribution of -39.1%. The measured inequality in poor leisure-time PA was mainly attributable to SES, having a married life, urban residency, and female gender by 58.1%, 32.5%, 28.5%, and -32.6%, respectively. SES, urban residency, shift working, and female gender, with the contributions of 42%, 33.5%, 21.6%, and -17.3%, respectively, were the main contributors of poor work-related PA inequality. Urban residency, having a married life, SES, and subjective social status mainly contributed to the inequality of poor transport-related PA by 82.9%, -58.7%, 36.3%, and 33.5%, respectively, followed by using a personal car (12.3%) and female gender (11.3%). CONCLUSIONS: To reduce the measured inequalities in employees' PA, workplace health promotion programs should aim to educate and support male, urban resident, high-SES, high-social-class, and non-shift work employees to increase their PA at workplace, and female, married, rural resident, and low-SES employees to increase their leisure-time PA. Active transportation can be promoted among female, married, urban resident, high-SES, and high-social-class employees and those use a personal car.

Socioeconomic inequality in informal payments for health services among Iranian households: a national pooled study.

BACKGROUND: There is limited evidence on the prevalence and socioeconomic inequality in informal payments (IP) of households in the Iranian health system. This study was conducted to investigate the prevalence of IP and related socioeconomic inequalities among Iranian households in all provinces. METHOD: Data on Household Income and Expenditure Surveys (HIES) for 91,360 households were used to examine the prevalence and inequality in informal health sector payments in the years 2016 to 2018. The Normalized Concentration Index (NC) was used to examine inequality in these payments and the decomposition analysis by the Wagstaff approach was used to determine the share of variables affecting the measured inequality. RESULTS: Of the total households, 7,339 (7.9%) reported IP for using health services. Urban households had higher IP (10%) compared to rural ones (5.42%). Also, the proportion of households with IP in 2016 (11.69%) was higher than in 2017 (9.9%), and 2018 (4.60%). NC for the study population was 0.129, which shows that the prevalence of IP is significantly higher in well-off households. Also, NC was 0.213 (p < 0.0001) and -0.019 for urban and rural areas, respectively (p > 0.05). Decomposition analysis indicated that income, sex of head of household, and the province of residence have the highest positive contribution to measured inequality (with contributions of 156.2, 45.8, and 25.6%, respectively). CONCLUSION: There are a significant prevalence and inequality in IP in Iran's health system and important variables have shaped it. On the whole, inequality was pro-rich. This may lead to increasing inequality in access to quality services in the country. Our findings showed that previous health policies such as regulatory tools, and the health transformation plan (HTP) have not been able to control IP in the health sector in the desired way. It seems that consumer-side policies focusing on affluent households, and high-risk provinces can play an important role in controlling this phenomenon.

Predictors of Self-Reported Compliance with COVID-19 Preventive Guidelines: A Quantile Regression Model.

The research used an online, convenience cross-sectional sample of adults aged ≥18 years old recruited from Shahroud County, Northeast of Iran. We measured the contribution of multiple determinants for association with behavioral compliance, at the time of the COVID-19 pandemic. The compliance score measured with this questionnaire can be within a range of 5 and 100. Compliance was bounded between 19 and 80 that has been distributed J-shape, so quantile logistic regression model has been fitted for that. Variables related to people's knowledge, including self-reported knowledge and following the news related to COVID-19, were the two main factors that accompanied behavioral compliance at all of its levels in the period of pandemic.

Socio-economic inequality in reported dental self-care behaviour among Iranian households: A national pooled study.

BACKGROUND: Setting out effective prevention strategies in dental diseases needs recognition related factors of the prevention behaviours and targeting the most disadvantaged groups in the term of dental hygiene. This study aimed to investigate socio-economic inequality in the dental self-care status (DSS) of Iranian households and decompose the measured inequality into its contributors. METHOD: In this cross-sectional study, pooled data were extracted from Households Income and Expenditure Surveys (HIESs) conducted in Iran from 2012 to 2017. The index of socio-economic status (SES) for each household was constructed using principal components analysis (PCA). We used Wagstaff normalized concentration index as a measure of socio-economic inequality in dental self-care. Decomposition analysis was applied to determine the main factors contributed to the measured inequality. RESULTS: The prevalence of dental self-care in the whole population was 40.56%. The total concentration index was 0.271 (CI: 0.266, 0.275). The results of decomposition analysis for the measured inequality showed that SES, was the highest positive contributors (90.19%) followed by sex of household's head (12.15%), place of residence (11.79%) and education level of household's head (11.71%). Furthermore, the province of residence had the highest negative contribution (-11.37) to the inequality. CONCLUSION: The findings of this study showed that a huge portion of the observed inequality was explained by SES that might give us a policy recommendation: There is room for improving dental health and reducing inequality in dental self-care by paying more attention to SES-disadvantaged households.

SARS-CoV2 among Health Sector Workers and Related Factors in a Referral Hospital in Northeast of Iran: A Retrospective Analysis.

We aimed to identify the prevalence of SARS-CoV2 and its related factors among suspected health sector workers (HSWs) by conducting a descriptive analytical study on the SARS-CoV2 registered data in Shahroud region, Iran. Among the 267 suspected HSWs, 15.7% were confirmed vs. 29.1% of the suspected non-HSW cases, and the difference between two groups was significant. Among the related variables, after adjusting for age and sex, being asymptomatic (OR = 0.43), having fever (OR = 3.28), inpatient (OR = 7.14), and no history of flu vaccination (OR = 2.33) were significantly associated with the confirmed HSWs. It is recommended that all HSWs be screened and close contacts of confirmed cases be followed up.

Eliciting preferences of patients about the quality of hospital services in the west of Iran using discrete choice experiment analysis.

OBJECTIVES: Knowing about accurate customer expectations is the most important step in defining and delivering high-quality services. This study aimed to evaluate the preferences of patients referring to two hospitals in Kermanshah, Iran. METHOD: Discrete choice experiment (DCE) method used to elicit preferences of 328 patients who were admitted in two hospitals of Kermanshah city in the west of Iran. Literature review and experts opinion were used to identify a candidate list of attributes related to the quality of cares in hospitals. The final study attributes were quality of physician care, quality of nursing care, waiting time for admission, cleaning of wards and toilets, and behavior of staff. Experimental design applied to extract choice sets of hospitals. The data was analyzed by a conditional logit regression. RESULTS: The regression results showed the most important predictors of hospital selection by respondents was the good quality of physician care (aOR: 3.18, 95% CI 2.61, 3.87), followed by friendly behavior of staffs (aOR: 2.03, 95% CI 1.81, 2.27), cleanness of wards and toilet (aOR: 1.61, 95% CI 1.40, 1.85), and finally quality of nursing cares (aOR: 1.13, 95% CI 0.89, 1.44). However, increasing waiting time made disutility in the study participants (aOR: 0.69, 95% CI 0.60, 0.80). CONCLUSIONS: Our study finding emphasized some potential opportunity of quality augmentation in hospital sector by paying attention to different quality attributes including quality of physician, friendly behavior of staffs, cleanness of hospital environment and finally quality of nursing cares. Considering patients preferences in decision making process could lead to substantial satisfaction improvement.

Investigating changes in unintended pregnancies before and after the changes in the family planning policies in Iran: A multivariate decomposition analysis.

Background: Unintended pregnancy is a global public health problem that has adverse health, economic, and social consequences for families and societies. This study aimed to measure levels of and analyze changes in unintended pregnancies before and after the changes in the family planning policies in Iran. Methods: Data were extracted from Iran's Demographic and Health Surveys in 2000, 2010, and 2015. The study population consisted of married pregnant women aged 15-49 years. In this study, the data of 112 400, 29 609, and 32 264 households and 4976, 1123, and 900 married pregnant women in 2000, 2010 and 2015, respectively, were used. Logistic regression model was applied to estimate effect of the study explanatory variables on unintended pregnancy in each year, and contribution of different factors to the changes in unintended pregnancies was investigated using multivariate decomposition method. All the study analyses were performed using the Stata software, with the statistical significance level of 0.05. Results: The rate of unintended pregnancies decreased by 13% in 2000-2010 and by 1.3% in 2010-2015. Changes in women's likelihood of experiencing unintended pregnancy positively contributed to unintended pregnancy reduction in 2000-2010 and 2010- 2015; however, the change patterns were different. Changes in the distribution of women's characteristics had positive and negative contributions in 2000-10 and 2010-15, respectively. An increase in pregnant women's parity was the main factor with counteracting effect on unintended pregnancy reduction in 2010-2015. Conclusion: Unintended pregnancies decreased among Iranian married women over the study years, but its reduction was slowed down after the changes in the family planning policies. Policy actions in health and other socioeconomic sectors aiming to encourage nulliparous women to become pregnant and help nulliparous women, women with the parity of more than 2, and women in the middle and late reproductive ages to reduce their risk of unintended pregnancy, can accelerate the trend of unintended pregnancy reduction in the future.