MAGNITUDE OF CAFFEINE CONSUMPTION AND ITS CORRELATION WITH PERCEIVED STRESS, SLEEP QUALITY, AND ACADEMIC PERFORMANCES OF UNDERGRADUATE STUDENTS AT WOLKITE UNIVERSIT

Abstract

Background: Globally, an estimated 2.9 million children under-five were admitted for treatment of severe acute malnutrition in 2013. In 2016, it was estimated that 17 million children were living with severe acute malnutrition and majority of them found in lowIncome countries. Management of severe acute malnutrition is critical for child survival andis a key cost effective component of the scaling up nutrition framework for addressing under nutrition and its outcome. Early recovery is a performance indicator for severely acutely malnourished children for the therapeutic feeding. Moreover, depth understanding of its predictors is one of the vital interventions in improving time to recovery & recovery rate of children admitted with severe acute malnutrition in Inpatient Therapeutic Feeding Centers of Ethiopia.Objective: the aim of the study was to determine time to recovery and identify predictors among children aged 6-59 months admitted with severe acute malnutrition to inpatient therapeutic feeding centers at health facilities in Butajira General Hospital, Koshe health centerand Mekakelegna Jare Demeke health centers, southern Ethiopia, 2023Methods: An institutional based retrospective follow-up study was conducted on 480children aged 6 to 59 months admitted with Severe Acute malnutrition cases at health facilities in Butajira general Hospital, Koshe Health center and Mekakelegna health center Gurage zone,southern Ethiopia. Data were extracted using structured checklist from the existing medical record number and severe acute malnutrition treatment registry retrospectively using a systematic random sampling technique starting from the most recent month and going backwards data were cleaned and entered into EpiData version 4.6 and exported to Stata version 18 for further analysis. Kaplan Meier was used to estimate the survival time and Log-rank test was used to compare survival time between groups of categorical variables. Proportional hazards assumption was checked by the Schoenfeld residual test. Best fitting multivariable survival model was selected by AIC and the overall goodness of fit of the final model was checked using Nelson Aalen cumulative hazard function against Cox-Snell residual plot. Finally, best fitted multivariable survival regression model was used to identify asignificant predictors of time to recovery among SAM at Pvalue <0.05 of 95% CI.XResult: After a maximum of 60 days of treatment, 63.96 (95% CI: 59.5, 68.3) of the children Background:- The caffeine consumption rate has increased dramatically due to the perceived benefits of caffeine in staying awake, mood improvement, and concentration. Although a substantial proportion of university students are affected by poor sleep quality and inappropriate caffeine consumption, they tend to use it and cope with their workload and stressful environment in spite of its adverse effects. Therefore, the study aimed to explore caffeine consumption as well as its correlation with perceived stress, sleep quality, and academic performance among undergraduate students at Wolkite University. A comparative cross-sectional study using a multi-stage stratified random sampling technique was applied to Wolkite University undergraduate students. Data was collected from 332 students through a self-administered questionnaire. The caffeine consumption questionnaire (CCQ), perceived stress scale(PSS), and Pittsburgh Sleep Quality Index(PSQI) were used to assess caffeine consumption, perceived stress, and sleep quality sequentially; also, academic performance was assessed based on self reported cumulative grade point average (CGPA).Results:- 83.5% of study participants consume caffeine, with a mean total caffeine consumption of 214.6 ± 152.67 mg/day. High levels of caffeine consumption were found among students of health colleges than engineering colleges, and males consume more caffeine than females. The majority of participants showed moderate stress (67.7%), and 69.4% of them had poor sleep quality, with an average PSQI score of 6.52 ±2.446. The total average CGPA score was 3.19±.40527. A significant negative correlation was found between caffeine consumption and sleep quality (P=0.025) and also between caffeine consumption and academic performance (P=0.012), but the correlation between caffeine consumption and perceived stress is not statistically significant. (p=0.377) there is no difference between health and engineering collegeswith respect to perceived stress, sleep quality, and academic performance.Conclusion:- This study revealed a considerable magnitude of caffeine consumption, moderate perceived stress, and poor sleep quality levels among undergraduate students, with a significant positive association between them. Given these findings, it is imperative to design and implement appropriate programs and services to deal with the stressful environment and improve academic success.