ABSTRACT
A new strain of the coronavirus, SARS-CoV-2, was identified as the cause by the Chinese authorities and the World Health Organization (WHO). At the time, it was referred to as a coronavirus disease 2019 and is now commonly referred to as COVID-19. Gamil Ghaleb Alrubaiee and associates 2020) coronaviruses are a family of enveloped RNA viruses that get their name from the outer edge of their envelope proteins that look like crowns ('corona' in Latin). The purpose of this study was to determine how anxious COVID-19 recovered patients in a specific community area were. A quantitative strategy with a descriptive study design for the research. Purposive sampling is used to collect 50 samples from COVID-19 recovered patients for this study. The average anxiety score among COVID-19 recovered patients was 26.76, with a standard deviation of 5.76 and a minimum anxiety score of 13.0 and a maximum anxiety score of 40.0. In patients who had recovered from COVID-19, the analysis showed that none of the demographic variables had a statistically significant relationship with the level of anxiety. ASEAN Journal of Psychiatry, Vol. 24 (1) January, 2023;1-8.
ABSTRACT
Metabolic syndrome is not a disease but is a set of several disorders and causes an increased risk of cardiovascular disease and diabetes mellitus complications. Several studies have shown that non-invasive approaches such as anthropometric measurements can be used for the early detection of metabolic syndrome. This study aimed to analyse the anthropometric indicators related to metabolic syndrome in female college students. The design of this research was cross sectional, with the number of subjects involved were as many as 163 female college students aged 19 to 24 years old. Purposive sampling was used in the sampling of this research. The independent variables in this study were the Waist-to-Height Ratio (WHtR), Waist-Hip Ratio (WHR), Body Mass Index (BMI), Sagittal Abdominal Diameter (SAD), and hip circumference. The dependent variable in this study is the metabolic syndrome component that has been converted into a metabolic syndrome score (cMetS). The analysis results showed that all anthropometric indicators, namely WHtR, BMI, SAD, waist circumference, hip circumference and WHR have a strong positive relationship with the metabolic syndrome score (p<0.001). BMI was the anthropometric indicator that is most associated with the metabolic profiles, such as systolic blood pressure (p<0.001), blood sugar (p<0.05), and HDL (p<0.001). Waist circumference was the anthropometric indicator that is most associated with triglycerides and metabolic syndrome score (p<0.001). Metabolic syndrome in female college students can be identified using anthropometric measurements, one of which is BMI and WHR which are very easy to measure and efficient. BMI and WHR have the strongest relationship and can be used to detect early risk of metabolic syndrome in female college students.
ABSTRACT
The evolution of online food delivery system started in India in the late 2000’s and since then many Food Aggregators have come up with a variety of prospects for the customers. This process of Business to Customer services had found itself to be very popular especially in the last few years and after the COVID 19 attack the business had flourished to a large extent. People do not prefer to come out of their abodes and try to procure the eatables by maintaining proper social distancing. There have been a number of local Food Aggregators that have emerged in the Cachar District only recently and post 2020 especially in the lockdown phase they have accelerated their operations in the Valley by joining hands with a number of food outlets. These local entrepreneurial efforts are still in the growth phase and are trying to meet the customer demands to enhance their satisfaction level. Speaking of enhancing the satisfaction of the customers, there are many factors that work before meeting their overall satisfaction and these factors if are considered carefully would not only increase the customer loyalty towards the respective. Purposive Sampling was used in this study to get the responses from the online food buyers. It used Artificial Neural Networks to understand the pattern of the buying behavior of customers in this area and tried to create a model that would enhance the understanding of the Food Aggregators in regards to the buying frequency of the customers and take steps accordingly. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
PURPOSE: In Pakistan, medical professionals face multiple challenges comprising long, fixed working hours and workload overburdening, which leads to emotional fatigue. These conflicts in work-life scenarios, brought about by high work demands causing emotional exhaustion, can create a state of distress among the medical professionals. The present study investigates the association between work-family conflict (WFC), emotional intelligence (EI), and self-efficacy (SE) among medical practitioners during COVID-19 in Pakistan. PATIENTS AND METHODS: The study sample included 140 medical professionals from Rawalpindi and Islamabad. Cross-section correlational research design was used, and information was gathered employing online surveys through a purposive sampling technique. The scales utilized were the WFC, EI, and SE Scale. RESULTS: The current study hypothesized a significant relationship between work-family conflict, general self-efficacy (GSE) and emotional intelligence among medical practitioners during COVID-19 in Pakistan. The results showed that those with more family-to-work conflict had less EI and GSE. Furthermore, findings uncovered that there is a significant positive relationship between EI and GSE. CONCLUSION: The findings propose that it is important for medical professionals to have a high level of EI and GSE to navigate through the WFC more healthily. In future, awareness seminars could be arranged related to EI and its significance to stimulate the psychological well-being of medical professionals. Future studies could also consider other healthcare workers, including nurses and internees doing house jobs and other medical staff, as they are also exposed to several stresses due to the workload and family demands.