Fear of COVID-19 among nonsmokers and smokers/former smokers: Implications for health promotion practice.

INTRODUCTION: Fear of COVID-19 may differ for individuals with compromised health and those with unhealthy behaviors, placing them at greater risk. Based on previous analysis of academic medical center faculty and staff, the authors predicted that workers who were smokers/previous smokers would express the greater fear of COVID-19 relative to nonsmokers. METHODS: The present study used the Fear of COVID-19 Scale to assess fear among nonsmokers (n = 1,489) and smokers/previous smokers (n = 272) from a larger population of academic medical center members (N = 1,761). This study assessed nonsmokers' and smokers/previous smokers' demographic and background variables on Fear of COVID-19 scores. RESULTS: In this academic community, smokers/previous smokers had higher fear of COVID-19 scores than did nonsmokers (p < 0.05). Smokers/previous smokers differed from nonsmokers on three Fear of COVID-19 scale items (most afraid of COVID-19, fear of losing life, and physiological fear of COVID-19). DISCUSSION/CONCLUSIONS: These results provide a better understanding of how fear of COVID-19 can differ based on one's smoking status. These findings inform public health smoking cessation efforts aimed at reducing morbidity and mortality, both in response and secondary to COVID-19 exposure.

Alcohol use and motives for drinking across the menstrual cycle in a psychiatric outpatient sample.

BACKGROUND: Females who misuse alcohol experience high rates of negative physical and mental health consequences. Existing findings are inconsistent but suggest a relationship between ovarian hormones and alcohol use. We aim to clarify how alcohol use and drinking motives vary across the menstrual cycle in female psychiatric outpatients using the luteinizing hormone (LH)-confirmed cycle phase. METHODS: Daily self-reports (n = 3721) were collected from 94 naturally cycling females, recruited for past-month suicidal ideation, during the baseline phase of three parent clinical trials between February 2017 and May 2022. Multilevel logistic and linear models estimated the relationship between the cycle phase (with LH-surge confirmed ovulation) and daily alcohol use or drinking motives, moderated by the weekend. Models were adjusted for age, legal drinking status, substance use disorder, and the COVID-19 pandemic, and included random effects. RESULTS: Participants were generally more likely to drink in the midluteal (vs. perimenstrual) phase, but more likely to drink heavily on weekends in periovulatory and perimenstrual (vs. midluteal) phases. Social motives for drinking were significantly higher on weekends in the periovulatory, mid-follicular, and midluteal phases (vs. weekdays), but this finding was non-significant in the perimenstrual phase. Participants rated drinking to cope higher in the perimenstrual phase (vs. midluteal phase), regardless of the weekend. CONCLUSION: In a psychiatric sample with LH-surge-confirmed ovulation, we find an increased likelihood to drink heavily in periovulatory and perimenstrual phases on weekends. We also find that the perimenstrual phase is associated with increased drinking to cope, and relatively lower weekend social drinking. Finally, random effects across models suggest individual differences in the extent to which the cycle influences drinking. Our findings stress (1) predictable phases of increased high-risk alcohol use across the menstrual cycle, and (2) the importance of individual assessment of cyclical changes in alcohol use to predict and prevent ovulation- and menses-related surges in heavy drinking.

Comprehensive Telerobotic Ultrasound System for Abdominal Imaging: Development and in-vivo Feasibility Study

During the COVID-19 pandemic, the lives of healthcare professionals are at significant threat because of the enormous workload and cross-infection risk. Ultrasound (US) imaging plays a vital role in the diagnosis and follow-up of COVID-19 patients;however, it requires a close-physical contact by the sonographer. In this context, this paper presents a Telerobotic Ultrasound (TR-US) system for complete remote control of the US probe, thereby preventing direct physical contact between patients and sonographers. The system consists of a 6-DOF robot arm at the remote site and a haptic device at the doctor's site. The control architecture precisely transmits the intended position and orientation of the US probe to the remote location for transversal and sagittal plane scanning. This architecture, when integrated with an admittance controller-based force modulation and feedback transmission, enables the radiologists to obtain high-quality images for diagnosis. The advantages and effectiveness of the system are demonstrated by conducting in-vivo feasibility study at AIIMS, Delhi, for imaging abdomen organs (liver, spleen, kidneys, bladders). The system provides image quality equivalent to a manually-guided probe, can identify various pathology and reports high acceptability among volunteers and doctors from a questionnaire survey.

Detecting variations in ovulation and menstruation during the COVID-19 pandemic, using real-world mobile app data.

BACKGROUND: As war and famine are population level stressors that have been historically linked to menstrual cycle abnormalities, we hypothesized that the COVID-19 pandemic could similarly affect ovulation and menstruation among women. METHODOLOGY: We conducted a retrospective cohort study examining changes in ovulation and menstruation among women using the Natural Cycles mobile tracking app. We compared de-identified cycle data from March-September 2019 (pre-pandemic) versus March-September 2020 (during pandemic) to determine differences in the proportion of users experiencing anovulation, abnormal cycle length, and prolonged menses, as well as population level changes in these parameters, while controlling for user-reported stress during the pandemic. FINDINGS: We analyzed data from 214,426 cycles from 18,076 app users, primarily from Great Britain (29.3%) and the United States (22.6%). The average user was 33 years of age; most held at least a university degree (79.9%). Nearly half (45.4%) reported more pandemic-related stress. Changes in average cycle and menstruation lengths were not clinically significant, remaining at 29 and 4 days, respectively. Approximately 7.7% and 19.5% of users recorded more anovulatory cycles and abnormal cycle lengths during the pandemic, respectively. Contrary to expectation, 9.6% and 19.6% recorded fewer anovulatory cycles and abnormal cycle lengths, respectively. Women self-reporting more (32.0%) and markedly more (13.6%) stress during the pandemic were not more likely to experience cycle abnormalities. CONCLUSIONS: The COVD-19 pandemic did not induce population-level changes to ovulation and menstruation among women using a mobile app to track menstrual cycles and predict ovulation. While some women experienced abnormalities during the pandemic, this proportion was smaller than that observed prior to the pandemic. As most app users in this study were well-educated women over the age of 30 years, and from high-income countries, their experience of the COVID-19 pandemic might differ in ways that limit the generalizability of these findings.