COVID-19 Disparities Among Arab, Middle Eastern, and West Asian Populations in Toronto: Implications for Improving Health Equity Among Middle Eastern and North African Communities in the United States.

Sharif MZ ，Maghbouleh N ，Baback Boozary AS 《-》

Suitability of Middle Eastern and North African immigrant minimal reporting category for Arab immigrant health research in the national health interview survey.

Studies of Middle Eastern immigrants using national data, with and without African immigrants, have provided important discoveries on the health of this group. However, they do not directly measure health among Arab immigrants. It is yet to be determined whether using a Middle Eastern and North African (MENA) classification can represent the health needs of Arab immigrants. The objective of this study was to assess if MENA immigrant health reflects the same patterns found in previous research focusing on Arab immigrant health. We used multiple years of data from the National Health Interview Survey in alignment with each former study methodology to compare our findings with four previous research studies. The independent variable was region of birth among non-Hispanic Whites. The dependent variables were chronic diseases, women's preventive health behaviors, men's preventive health behaviors, and cigarette smoking. Logistic regression was conducted to determine the odds of each outcome for MENA immigrants compared to US-born Whites. Then, adjusted 95% confidence intervals representing the more inclusive MENA immigrant categorization were compared to previous studies among Arab immigrants. Chronic conditions, women's and men's preventive health behaviors and cigarette smoking did not differ whether the MENA or Arab definition was used. However, statistically significant differences were observed between MENA and Arab immigrants regarding bachelor's degree or higher, not employed and years in the US. The MENA category reflects the Arab immigrant experience, even though it includes a wider set of origins, some of which are not Arab. Including a MENA identifier on future data collections will both represent Arab Americans, as well as identify this population as distinct from Whites to better represent and track health disparities.

Dallo FJ ，Kindratt TB ，Ajrouch KJ 《-》

Improving the Collection of National Health Data: the Case for the Middle Eastern and North African Checkbox for Communities in the USA.

The Office of Management and Budget (OMB) is reviewing current minimum standards for collecting race/ethnicity data on federal forms. This review is extremely important for Middle Eastern and North African (MENA) Americans, who have been overlooked and unable to receive federal funding for their communities for decades. MENA individuals are defined as "White," which is particularly concerning given that research continues to identify that their health and lived experiences differ from Whites. From January to April 2023, the OMB requested public comments on a separate MENA checkbox. The purpose of this research was to describe public comments regarding the addition of the MENA checkbox on the US Census and other federal forms. A public comment period outlining changes to the collection of race/ethnicity data on the US Census and other federal forms opened in January 2023. Public comments were reviewed to determine whether MENA was mentioned, whether comments supported a MENA checkbox, and whether comments mentioned acceptance for health-related reasons. There were 6700 comments reviewed. Most (73.88%) mentioned adding a MENA checkbox. Of those, 99.31% accepted adding the checkbox. Among the comments that accepted adding a MENA checkbox, 29.09% mentioned health, 44.75% mentioned linguistic/language services, and 44.75% mentioned education-related reasons. Overall, the comments reviewed demonstrated strong acceptance of the addition of a MENA checkbox on federal forms. These findings are encouraging, yet further review is needed to contribute to the OMB's final decision on whether to add the checkbox and uncover the health of this population.

Kindratt TB 《-》

Disordered eating and emotional eating in Arab, middle eastern, and north African American women.

Arab, Middle Eastern, and North African (A-MENA) American women are often subject to intersectional discrimination, and they have also not been traditionally recognized as a distinct racial group in disordered eating literature. No study to date has provided descriptive information on disordered and emotional eating A-MENA American women, nor has examined perceptions of widely used measurements of eating pathology in this population. The current study generated descriptive information among A-MENA women on two widely used measures of eating pathology, the Eating Disorder Examination Questionnaire (EDE-Q) and the Emotional Eating Scale (EES). Participants (N = 244) were A-MENA adult women were recruited via social media and snowball sampling. Qualitative findings provide potential sociocultural predictors of disordered eating that should be further explored, such as bicultural identity and family pressures/comments toward appearance. Secondly, themes from the EES-R indicate adding emotion of shame and considering identity-related stress. The current study provides prevalence data and future directions of research on widely used eating pathology and appearance attitude measurements for A-MENA American women.

Kalantzis MA ，Braden AL ，Haidar A 《-》

SARS-CoV-2 Surveillance in the Middle East and North Africa: Longitudinal Trend Analysis.

The COVID-19 pandemic has disrupted the lives of millions and forced countries to devise public health policies to reduce the pace of transmission. In the Middle East and North Africa (MENA), falling oil prices, disparities in wealth and public health infrastructure, and large refugee populations have significantly increased the disease burden of COVID-19. In light of these exacerbating factors, public health surveillance is particularly necessary to help leaders understand and implement effective disease control policies to reduce SARS-CoV-2 persistence and transmission. The goal of this study is to provide advanced surveillance metrics, in combination with traditional surveillance, for COVID-19 transmission that account for weekly shifts in the pandemic speed, acceleration, jerk, and persistence to better understand a country's risk for explosive growth and to better inform those who are managing the pandemic. Existing surveillance coupled with our dynamic metrics of transmission will inform health policy to control the COVID-19 pandemic until an effective vaccine is developed. Using a longitudinal trend analysis study design, we extracted 30 days of COVID-19 data from public health registries. We used an empirical difference equation to measure the daily number of cases in MENA as a function of the prior number of cases, the level of testing, and weekly shift variables based on a dynamic panel data model that was estimated using the generalized method of moments approach by implementing the Arellano-Bond estimator in R. The regression Wald statistic was significant (χ25=859.5, P<.001). The Sargan test was not significant, failing to reject the validity of overidentifying restrictions (χ2294=16, P=.99). Countries with the highest cumulative caseload of the novel coronavirus include Iran, Iraq, Saudi Arabia, and Israel with 530,380, 426,634, 342,202, and 303,109 cases, respectively. Many of the smaller countries in MENA have higher infection rates than those countries with the highest caseloads. Oman has 33.3 new infections per 100,000 population while Bahrain has 12.1, Libya has 14, and Lebanon has 14.6 per 100,000 people. In order of largest to smallest number of cumulative deaths since January 2020, Iran, Iraq, Egypt, and Saudi Arabia have 30,375, 10,254, 6120, and 5185, respectively. Israel, Bahrain, Lebanon, and Oman had the highest rates of COVID-19 persistence, which is the number of new infections statistically related to new infections in the prior week. Bahrain had positive speed, acceleration, and jerk, signaling the potential for explosive growth. Static and dynamic public health surveillance metrics provide a more complete picture of pandemic progression across countries in MENA. Static measures capture data at a given point in time such as infection rates and death rates. By including speed, acceleration, jerk, and 7-day persistence, public health officials may design policies with an eye to the future. Iran, Iraq, Saudi Arabia, and Israel all demonstrated the highest rate of infections, acceleration, jerk, and 7-day persistence, prompting public health leaders to increase prevention efforts.

Post L ，Marogi E ，Moss CB ，Murphy RL ，Ison MG ，Achenbach CJ ，Resnick D ，Singh L ，White J ，Boctor MJ ，Welch SB ，Oehmke JF ... -  《JOURNAL OF MEDICAL INTERNET RESEARCH》