Aims: This study aims to identify the risk factors of eating disorders, evaluate the impact of the pandemic on those with or without pre-existing eating disorders and compare the impact of COVID-19 on the various eating disorders. Methodology: We searched Public/Publisher MEDLINE (PubMed) and Excerpta Medica dataBASE (EMBASE) databases from January 2019 to May 2021, 11 observational studies were selected out of 81 initially identified articles. The sample size ranged from 15 to 22,374 participants, with a total of 31,404 participants. Results: Individuals, especially females aged 18-25 years and 30-45 years were shown to be more susceptible to eating disorder risks and symptoms.  Depression and anxiety were shown to be the most prevalent risk factors among all subjects. Exacerbation of symptoms was observed in subjects with the eating disorders except for the anorexia nervosa subgroup which showed minimal changes. Conclusion: This study established the fact that COVID-19 pandemic had a negative impact on the eating habits of people with or without pre-existing eating disorders (ED). This study also highlights the need for efforts to specifically identify evidence-based measures to support patients with ED during and after a pandemic.

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Background: As COVID-19 pandemic continues to affect every nation, Healthcare Workers (HCW) who care for the patients are psychologically impacted. This study aims to assess the psychological impact experienced by HCW and the psychosocial support they received. Methods: Using PubMed, google scholar and Embase from December 2019 through June 2021, we found 376 studies on the impact of the COVID-19 pandemic on the mental health of HCW. Using our inclusion criteria, 325 studies were excluded. 51 full-text articles were assessed for eligibility. 9 articles which met our criteria and eligibility criteria reported on 19,232 HCW, and 75.2% of the study participants were women. Results: The study participants reported high levels of stress, hypervigilance, fatigue, sleep problems, PTSD symptoms, poor concentration, depression, anxiety, burnout, emotional exhaustion, depersonalization, suicide and self-harm ideations and somatic symptoms due to the COVID-19 pandemic. The psychosocial support provided to HCW includes counseling and psychotherapy-based sessions on stress adaptation, onsite mindfulness-based crisis intervention, online form of emotional freedom technique, and Effort-reward system.  Conclusion: Multiple interventions found in our review were effective in mitigating psychological stress among HCWs. These interventions should be considered as part of support provided to HCW with psychosocial challenges.

Alcohol use disorder (AUD) continues to be a threat to public health due to the associated morbidity, mortality, and social and economic impacts. AUD accounts for greater than 85,000 deaths annually in the United States and greater than 1500 deaths annually in New Jersey (NJ). Despite these associated burdens, the treatment of AUD remains unequal among the population, and it is important to identify the factors influencing the disparity in defined population groups such as NJ to drive the appropriate intervention. Data were retrieved from the 2018 Treatment Episode Data Set-Discharges (TEDS-D) of the United States Substance Abuse and Mental Health Services Administration (SAMHSA). Logistic regression analysis was used to predict the odds of receiving treatment based on socioeconomic factors and the type of treatment received. Compared to Asian or Pacific Islanders in NJ, the American Indian [odds ratio, OR=2.12, 95% confidence interval, CI: 1.95-2.31] has the greatest odds of receiving treatment for AUD, followed by the Black or African American [OR=1.70, 95% CI: 1.65-1.75], the Alaska Native [OR=1.67, 95% CI: 1.42-1.96], and then the White [OR=1.31, 95% CI: 1.12-1.52]. Those who are retired or on disability [OR=0.88, 95% CI: 0.82-0.94] have lower odds of receiving treatment than those on salary or wages. Those with AUD in NJ have a lower odd of receiving detoxification treatment in a 24-h hospital inpatient setting [OR=0.88, 95% CI 0.82-0.95] and a higher odd of receiving detoxification treatment in a 24-h service, free-standing residential setting when compared to the treatment received in a rehabilitation/hospital (other than detoxification) setting.This study shows that disparity exists in relation to the type of treatment received and the setting of treatment for AUD in NJ in addition to disparity based on the sociodemographic factors.