Medicine and Health Sciences Commons^™

Fear And Trembling While Working In A Pandemic: An Exploratory Meta-Analysis Of Workers’ Covid-19 Distress, William P. Jimenez, Ian M. Katz, Elissa A. Liguori

Psychology Faculty Publications

The global COVID-19 pandemic has disrupted the lives of workers and taken its toll on health and well-being. In line with recent calls for more inductive and abductive occupational health science research, we exploratorily meta-analyzed workers’ COVID-19 distress, defined as psychological and psychosomatic strain contextualized to experiencing the virus and pandemic broadly. We identified many existing COVID-19 distress measures (e.g., Fear of COVID-19 Scale by Ahorsu et al., 2020; Coronavirus Anxiety Scale by Lee, 2020a) and correlates, including demographic variables (viz., gender, marital status, whether worker has children), positive well-being (e.g., quality of life, perceived social support, resilience), negative well-being …

Iranian Parents' Perceptions On Physical Activity For Their Children With Autism Spectrum Disorder During The Covid-19 Pandemic, Sarvin Salar, Justin A. Haegele, Hassan Daneshmandi

Human Movement Sciences & Special Education Faculty Publications

Purpose: The COVID-19 pandemic is a remarkable health crisis that enforced most people to stay at home and quarantine for a period of time and seems to be having negative impacts on physical activity and mental health worldwide. Autism Spectrum Disorder (ASD), is a neurodevelopmental disorder with a deficit in social interaction characteristics, relationships, and stereotyped behaviors. This study examined Iranian parents’ perceptions of physical activity for their children with ASD during the COVID-19 pandemic.

Methods: In this study, an explanatory qualitative methodology was used and data were collected via semi-structured phone interviews. The samples included 40 Iranian parents (aged …

Effectiveness Of Wechat-Group-Based Parental Health Education In Preventing Unintentional Injuries Among Children Aged 0-3: Randomized Controlled Trial In Shanghai, Yuheng Feng, Xueqi Ma, Qi Zhang, Ruo Jiang, Jun Lu, Kaiyue Chen, Huiping Wang, Qinghua Xia, Jicui Zheng, Jingwei Xia, Xiaohong Li

Community & Environmental Health Faculty Publications

BACKGROUND: Unintentional injuries to children are a major public health problem. The online social media is a potential way to implement health education for caregivers in online communities. Using WeChat, a free and popular social media service in China, this study evaluated the effectiveness of social online community-based parental health education in preventing unintentional injuries in children aged 0-3.

METHODS: We recruited 365 parents from two community health centers in Shanghai and allocated them into intervention and control groups randomly. Follow-up lasted for one year. The intervention group received and followed their WeChat group and a WeChat official account for …

The Prevalence Of And Factors Associated With Anxiety And Depression Among Working-Age Adults In Mainland China At The Early Remission Stage Of The Coronavirus 2019 Pandemic, Haixia Xie, Xiaowei Huang, Qi Zhang, Yan Wei, Xuheng Zeng, Fengshui Chang, Shuyin Wu

Community & Environmental Health Faculty Publications

Background: The Coronavirus 2019 (COVID-19) outbreak has led to a considerable proportion of adverse psychological symptoms in different subpopulations. This study aimed to investigate the status of anxiety and depression and their associated factors in the adult, working-age population in Mainland China at the early remission stage of the COVID-19 pandemic.

Methods: An online study was conducted among 1,863 participants in 29 provinces in Mainland China from March 23 to 31, 2020. Their mental health was evaluated by the generalized anxiety disorder scale (GAD-7) and the patient health questionnaire (PHQ-9). Descriptive analysis, Chi-square, and multiple logistic regressions were applied.

Results: …

Compassion, Discrimination, And Prosocial Behaviors: Young Diasporic Chinese During The Covid-19 Pandemic, Youli Chen, Zicong Wang, Qi Zhang, Weizhen Dong, Jia Huei, Chen Xu, Sizhe Ji Wu, Xiangyang Zhang, Chun Chen

Community & Environmental Health Faculty Publications

The coronavirus disease 2019 (COVID-19) pandemic has fueled anti-Asian, especially anti-Chinese sentiments worldwide, which may negatively impact diasporic Chinese youths' adjustment and prosocial development. This study examined the association between compassion, discrimination and prosocial behaviors in diasporic Chinese youths during the COVID-19 pandemic. 360 participants participated and completed the multi-country, cross-sectional, web-based survey between April 22 and May 9, 2020, the escalating stage of the pandemic. This study found compassion as prosocial behaviors' proximal predictor, while discrimination independently predicted participation in volunteering, and could potentially enhance the association between compassion and charitable giving. These findings suggest that prosociality among young …

The Online Ordering Behaviors Among Participants In The Oklahoma Women, Infants, And Children Program: A Cross-Sectional Analysis, Qi Zhang, Kayoung Park, Junzhou Zhang, Chuanyi Tang

Community & Environmental Health Faculty Publications

The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) is a nutrition assistance program in the United States (U.S.). Participants in the program redeem their prescribed food benefits in WIC-authorized grocery stores. Online ordering is an innovative method being pilot-tested in some stores to facilitate WIC participants' food benefit redemption, which has become especially important in the COVID-19 pandemic. The present research aimed to examine the online ordering (OO) behaviors among 726 WIC households who adopted WIC OO in a grocery chain, XYZ (anonymous) store, in Oklahoma (OK). These households represented approximately 5% of WIC households who redeemed …

Why Do Family Members Reject Ai In Health Care? Competing Effects Of Emotions, Eun Hee Park, Karl Werder, Lan Cao, Balasubramaniam Ramesh

Information Technology & Decision Sciences Faculty Publications

Artificial intelligence (AI) enables continuous monitoring of patients’ health, thus improving the quality of their health care. However, prior studies suggest that individuals resist such innovative technology. In contrast to prior studies that investigate individuals’ decisions for themselves, we focus on family members’ rejection of AI monitoring, as family members play a significant role in health care decisions. Our research investigates competing effects of emotions toward the rejection of AI monitoring for health care. Based on two scenario-based experiments, our study reveals that emotions play a decisive role in family members’ decision making on behalf of their parents. We find …

Blockchain-Based Digital Trust Mechanism: A Use Case Of Cloud Manufacturing Of Lds Syringes For Covid-19 Vaccination, Trupti Rane, Jingwei Huang

Engineering Management & Systems Engineering Faculty Publications

Trust is essential in the digital world. It is a critical task to build digital trust for the ongoing digital engineering transformation. Aiming at developing a blockchain-based digital trust mechanism for Cloud Manufacturing or Manufacturing-as-a-Service (MaaS), in this paper, we use the manufacturing of low dead space (LDS) medical syringes through Cloud Manufacturing as a motivating scenario to develop a basic framework. To meet the need of optimally saving COVID-19 vaccine doses to save more lives, the medical device manufacturing community needs to make a swift move to meet the surged need for LDS syringes. Cloud Manufacturing is a form …