Prevalence of anemia and its associated factors among school-going adolescent girls in schools of Dhankuta municipality, Nepal.

Adolescent girls are more vulnerable to anemia, especially in low and middle-income countries like Nepal. It is due to early marriage and pregnancy, rapid physical growth, low body weight, economic disparities, heavy menstrual bleeding, and inadequate iron diet. This study aimed to determine the prevalence of anemia and its associated factors among school-going adolescent girls. A cross-sectional study was conducted among 405 adolescent girls using a stratified random sampling technique from both public and private schools. A statistical analysis was performed using IBM Statistical Package for Social Sciences (SPSS) version 25 software. The frequencies, percentages, mean, and standard deviation were used to describe the characteristics of the participants. Binary logistic regression was performed for multivariable analysis. All the tests were performed at a 95% Confidence Interval (CI) and p-value of <0.05. The mean (± SD) age of the participants was 14.2 ± 1.2 years. The majority of the participants (64.7%) were from government schools. Around 18% (95% CI: 13.8, 21.2) of the participants were anemic in the study. Poor knowledge of anemia (AOR = 3.3, CI: 1.0, 11.1), incomplete iron and folic acid intake (AOR = 26.8, CI: 8.3, 86.4), and absence of dietary diversity (AOR = 2.5, CI: 1.1, 9.2) were significantly associated with the higher prevalence of anemia among the adolescent girls. To reduce the risk of anemia among adolescent girls, a comprehensive strategy involving a school health intervention package on anemia, IFA supplements, and deworming program should be promoted. Besides, community-focused awareness programs should be strengthened to increase dietary diversity and improve awareness of anemia in the community.

Knowledge, attitude, and practice regarding dengue among non-health undergraduate students of Nepal.

Dengue poses a significant public health concern worldwide. It is identified as a recent emerging infectious disease in Nepal. Understanding the situation and dynamics between knowledge, attitudes, and practices (KAP) related to dengue among students is crucial for effective prevention and control strategies. This study aimed to assess the KAP and their associated factors of dengue among non-health undergraduate students of Nepal to identify gaps and suggest appropriate interventions. A web-based cross-sectional study was conducted among 429 non-health undergraduate students at eleven Nepalese Universities, with 80% of participants from the four most prominent ones in the country. Self-administered online forms were administered via Google Forms platform predominantly through social media for data collection. Data was cleaned and then exported to IBM SPSS Statistics 20.0 for analysis. Demographic characteristics of respondents were described using descriptive statistics. Multivariate logistic regression was conducted to determine the association between individual characteristics and KAP. Pearson's correlation coefficient was used to determine the association between knowledge-attitude, attitude-practice, and knowledge-practice. Statistical significance was determined at the P-value < 0.05. Around half of the participants were female (50.3%). The majority of participants were between 22 to 37 years, unmarried, and belonged to the Brahmin/Chhetri ethnic group. This study demonstrated a significant gap in KAP. Only 15.2% of participants had good knowledge while 25.9% and 68.3% of participants exhibited good attitudes and practices respectively. Marital status (AOR = 3.32, CI: 1.32-8.34), third-year educational level (AOR = 3.59, CI:1.34-9.57), and fourth-year educational level (AOR = 4.93, CI:1.88-12.94) were significantly associated with knowledge regarding dengue. Age (AOR = 1.73, CI: 1.10-3.01) was significantly associated with preventive practice regarding dengue. None of the demographic or socio-economic characteristics of respondents was associated with attitude on dengue. The knowledge-attitude (rka = 0.01), knowledge-practice (rkp = 0.22), and attitude-practice (rap = 0.01) were positively correlated in this study.

Blockchain-Based Optimization Model for Evaluating Psychological Mental Disease and Mental Fitness.

The current work describes a blockchain-based optimization approach that mimics the psychological mental illness evaluation procedure and evaluates mental fitness. Combining lightweight models with blockchains can give a variety of benefits in the healthcare business. This study aims to offer an improved review and learning optimization technique (SPLBO) based on the social psychology theory to overcome the biogeography-based optimization (BBO) algorithm's shortcomings of low optimization accuracy and instability. It also creates high-accuracy solutions in recognized domains quickly. To retain student individuality, students can be divided into two groups: Human psychological variables are incorporated in the algorithm's improvement: in the "teaching" step of the original BBO algorithm; the "expectation effect" theory of social psychology is combined: "field-independent" and "field-dependent" cognitive styles. As a consequence, low-weight deep neural networks have been designed in such a manner that they require fewer resources for optimal design while also improving quality. A responsive student update component is also introduced to duplicate the effect of the environment on students' learning efficiency, increase the method's global search capabilities, and avoid the problem of falling into a local optimum in the first repetition.