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BACKGROUND: The coronavirus disease 2019 (COVID-19) virus pandemic rapidly spread across the globe since 2020. It was characterized by a number of acute signs and symptoms. There were, however, some new-onset signs and symptoms labelled as "Long COVID". This study was conducted to study its prevalence and associations with blood group. METHODS: A retrospective analysis was conducted in Islamabad for patients diagnosed with COVID-19 in 2020-2021. Information was collected through an online and physical questionnaire regarding personal demographics, symptoms during and after COVID-19, and blood group. The data was analyzed using IBM SPSS Statistics for Windows, Version 25.0 (Released 2017; IBM Corp., Armonk, New York, United States). RESULTS: The study identified 196 participants out of which 48.5% were male and 51% were female, with a median age of 30. Most participants (62.2%) belonged to the Punjabi ethnicity. The mean BMI was 25.56 kg/m2. The majority of the study participants reported having blood group B (n=76) followed by A (n=52). Acute symptoms were experienced by 95.4% of participants, with fatigue being the most persistent symptom at four weeks (45.9%). After four weeks, 63.3% of participants reported new symptoms like hair loss. Females were found more likely to experience long COVID symptoms. The perceived severity of acute infection was significantly associated with long COVID symptoms (p=<0.01). There was no association found between long COVID and blood group (p=0.158). CONCLUSION: There was no association found between long COVID and ABO blood groups. Females were more likely than males to experience long COVID. Long COVID was found to be more likely to develop in those with perceived severe acute infection, highlighting the need for further research regarding aggressive care from the onset of COVID-19 infection.
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Background: Childhood malnutrition remains a significant public health problem impacting the physical and mental growth if school aged children, particularly in limited-resource countries. Objective: The study objective was to assess levels of physical activity, patterns of screen time (S.T.), the relationship between physical activity and screen time patterns, and how these factors affect growth status (adjusting for socioeconomic status). Methodology: A cross-sectional study included 3,834 children between 6-14 years attending pre-selected schools. Teachers, students, and parents were invited to fill out a standardized questionnaire, and Body Mass Index (BMI) was calculated using Center for disease control (CDC) centile charts. A Chi-square was performed to see the possible association between any height and weight abnormalities and all possible risk factors. Multivariate logistic regression was applied to see the effect of variables significantly associated with univariate analysis. Results: Approximately 2,447 (63.8%) children were between 11-14 years old and 1,387 (36.2%) were between 4-10 years old. The mean height was 143.71 ± 16.51 centimetres, the mean weight was 36.5 ± 12.9 kilogram, and the mean BMI was 17.16 ± 3.52. Multivariate logistic regression status and junk food combined affected stunting socioeconomic status was significantly associated with being underweight p = 0.001. Conclusion: Childhood obesity and stunting remain significant problems in Pakistani school-going children. These are significantly associated with poverty, a lack of physical activity opportunities, and available food quality.
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Health micro insurance offers a promising mechanism to protect the poor against risk and vulnerability arising from catastrophic healthcare expenditures. In light of this, we study the relationship between physical distance to hospitals and the choice of healthcare services in the context of a health micro insurance program in Punjab, Pakistan. We address three main research questions; first, how does physical distance affect choice of health facility? Second, is the burden of physical distance greater for women? Third, can the diffusion of information in social networks be a potential mechanism for reducing the burden of distance? We employ a Probit model with administrative data on hospitalisation claims made between 2014 and 2017. Our findings show that distance impedes individuals from making panel (cashless) claims and thus increases the likelihood of out-of-pocket expenditures at nearby non-panel hospitals. This adverse effect is more pronounced for women as compared to men. Dissemination of information in social networks increases the usage of panel facilities, especially by women. Hence, this can be an effective mechanism in reducing the role that distance plays in the choice of health facility.