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BACKGROUND: Reports indicate that there are menstrual cycle disturbances following coronavirus disease 2019 (COVID-19) vaccination. The present study explored the prevalence of menstrual irregularities after COVID-19 vaccination and the association of menstrual irregularities with vaccine type, doses, immediate adverse effects, history of COVID-19 infection, and its severity. MATERIALS AND METHODS: For this cross-sectional study, 406 women of reproductive age completed an online survey about the postvaccine changes in their menstruation (cycle duration, bleeding days, and bleeding amount), COVID-19 vaccine history (doses, type of vaccine, and immediate adverse effects), history of COVID-19 infection, and its severity. Data was analyzed using SPSS; descriptive statistics were computed and Chi-square test, and binary logistic regression analysis were performed. RESULTS: Of the total 406 women, 45% reported postvaccine changes in their menstrual cycle. The most common menstrual change was increased dysmenorrhea (68%), followed by an increase in the length of the cycle (52%). There was a significant association between postvaccine menstrual changes and the age, marital status, and family history of menstrual irregularities. No association was observed between postvaccine menstrual changes and COVID-19 vaccine-and COVID-19 infection-related variables. As per the best-fit model of our predictors, the odds of having postvaccine menstrual changes were 0.41 times less in "single" women (confidence interval [CI] = 0.26-0.27; P < 0.001) and 1.714 times greater in women who had a "family history of menstrual irregularities" (CI = 1.092-2.690; P = 0.02), respectively. CONCLUSION: A substantial number of women complained of postvaccine menstrual changes regardless of their age, type of COVID-19 vaccine, doses, immediate adverse effects, and COVID-19 infection history/severity. Being "single" decreased the probability, whereas having a family history of menstrual irregularities increased the probability significantly of having postvaccine menstrual changes.
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Purpose: This study aimed to determine the stress levels and identify various factors responsible for causing high-stress scores during the COVID-19 pandemic in the Saudi population. Patients and Methods: This cross-sectional study was conducted at Imam Abdulrahman Bin Faisal University, Dammam, from June 2020 until December 2020 on 4052 respondents from the Eastern province of Saudi Arabia. An online survey was used to collect information about various stress factors. The psychological impact of COVID-19 was measured by using the COVID-19 impact event scale (COVID-19 IES), whereas general stress levels were assessed by K10 Kessler Psychological Distress Scale (K10). Results: The psychological impact of the COVID-19 outbreak revealed that 35.4% of participants suffered from moderate or severe psychological impact (score>33); 19.7% had a mild psychological impact (scores24-32), whereas 44.9% reported minimal psychological impact (score <23). The factors significantly associated with higher stress scores and COVID-19 IES included male gender, low monthly income, having a private business, living in apartments/residential complexes, poor general health status, visit hospital/doctor in the past three months, presence of chronic disease, direct/indirect contact with someone diagnosed with/suspected to have COVID-19, contact with surfaces/tools infected with COVID-19, getting screened or quarantined for COVID-19, follow-up of the latest news about COVID-19 and knowledge of a greater number of people infected and died with COVID-19 (p < 0.05). In contrast, being an elementary school student, having 4-10 children, observing various protective measures, and staying home for 4-12 hours were associated with lower COVID-19 IES (p < 0.05). Conclusion: During the initial six months of the COVID-19 outbreak in Saudi Arabia, 35.4% participants suffered from moderate to the severe psychological impact. This study identified various factors responsible for high COVID-19 IES and K10 stress scores. These findings can help formulate psychological interventions for improving the stress scales in vulnerable groups during the COVID-19 pandemic.
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OBJECTIVES: This study aims to compare the Th1/Th2 cytokines of subjects with general/abdominal obesity and non-obese individuals, and to correlate them with the biomarker of airways inflammation and different body compositions. METHODS: Eighty subjects were divided into 37 normal weight (BMI >25) and 43 overweight/obese groups (BMI ≥25). All participants were further categorised by waist circumference (WC) into an abdominal obesity group (n = 32) and a group without abdominal obesity (n = 48). Serum levels of Th1 cytokines (INF-γ, TNF-α, IL-2,) and Th2 cytokines (IL-4, IL-5, IL-13) were measured using a multiplex ELISA technique. The fractional exhaled nitric oxide (FeNO) was used as a biomarker for airways inflammation. Different body compositions were assessed using a bioelectrical body composition analyser. RESULTS: Serum IL-5 and TNF-α were significantly increased in groups with general or abdominal obesity compared to control groups. IL-5 showed a significant positive correlation with FeNO. BMI and total fat percentage were positively correlated to IL-5 and TNF-α, whereas WC and visceral fat percentage were correlated with the levels of IL-5 and IL-4. CONCLUSION: This study confirms the elevation of certain Th1 and Th2 cytokines in subjects with general and abdominal obesity. IL-5 was positively correlated with FeNO, which may link obesity to airways inflammation.
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BACKGROUND AND OBJECTIVES: Changes in autonomic cardiac activity during night sleep are well documented. However, there is limited information regarding changes in the autonomic cardiac profile during daytime naps. Heart rate variability (HRV) and baroreflex sensitivity (BRS) are reliable measures of autonomic cardiac activity. The purpose of this study was to determine the changes in HRV and BRS during daytime naps in healthy men. METHODS: This was a cross-sectional study of 25 healthy men. Polysomnographic recording with electrocardiogram monitoring was conducted for all volunteers during a 50-80 min nap between 3.30 pm and 5.30 pm. Five-minute segments during pre-nap wakefulness, non-rapid eye movement (NREM) sleep stages (N1, N2, and N3), rapid eye movement (REM) sleep stage, and post-nap wakefulness were used to measure changes in the variation in HRV parameters, including inter-beat interval (RR-interval), total spectral power (TP), high-frequency power (HF), low-frequency power (LF), and low frequency/high-frequency ratio (LF/HF). BRS was also measured for 10 min during pre- and post-nap wakefulness using finger arterial pressure measurement (Finometer Pro ®). RESULTS: HRV increased significantly during NREM sleep compared with that during pre-nap wakefulness (p < 0.05), as reflected by RR-interval prolongation, higher HF, and increased HFnu (normalized units). Furthermore, there was a parallel reduction in TP, LF, and LF/HF ratio during NREM sleep, indicating parasympathetic predominance over cardiac autonomic activity. HF and HFnu were significantly reduced during REM sleep compared with that during NREM sleep (p < 0.05). BRS did not show significant differences between pre- and post-nap wakefulness. CONCLUSION: We observed a progressive increase in parasympathetic activity during daytime sleep as NREM sleep deepened compared with that during wakefulness and REM sleep. Daytime nap may have a favorable cardiovascular impact.
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We compared serum leptin levels during various phases of menstrual cycle and its correlation with serum estradiol between normal weight and overweight/obese young females. Fifty-six young females with normal menstrual cycle were grouped into 26 normal weight and 30 overweight/obese subjects. Serum leptin and estradiol levels were measured during early follicular, pre-ovulatory and luteal phases of menstrual cycle in both groups using ELISA technique. Serum leptin levels were significantly different across different phases of menstrual cycle with a steady increment from follicular phase (9.97 ± 5.48 ng/dl) through pre-ovulatory phase (11.58 ± 6.49 ng/dl) with their peaks in luteal phase (12.52 ± 6.39 ng/dl, p < .001). Same pattern of change during menstrual phases was observed when the normal weight and overweight/obese group were analyzed separately. Serum leptin levels were significantly higher in overweight/obese group compared to normal weight subjects. In any of the study groups, leptin levels were not found to be correlated with estradiol level during different phases of menstrual cycle.
