Risk factors associated with underweight in children aged one to two years: a longitudinal study.

BACKGROUND: Underweight is a prevalent health issue in children. This study aimed to identify factors associated with underweight in children aged 1-2 years in Hamadan city. Unlike the studies conducted in this field, which are cross-sectional and do not provide information on the effect of age changes on underweight, our longitudinal approach provides insights into weight changes over time. On the other hand, this study focuses on the high-risk age group of 1 to 2 years, which has only been addressed in a few studies. METHODS: In this longitudinal study, 414 mothers with 1 to 2 year-old children referred to the health centers of Hamadan city, whose information is in the SIB system, a comprehensive electronic system, were examined to identify factors related to underweight. The response variable was weight-for-age criteria classified into three categories: underweight, normal weight, and overweight. A two-level longitudinal ordinal model was used to determine the factors associated with underweight. RESULTS: Of the children studied, 201 (48.6%) were girls and 213 (51.4%) were boys. Significant risk factors for underweight included low maternal education (AOR = 3.56, 95% CI: 1.10-11.47), maternal unemployment (AOR = 3.38, 95% CI: 1.05-10.91), maternal height (AOR = 0.85, 95% CI: 0.79-0.92), lack of health insurance (AOR = 2.85, 95% CI: 1.04-7.84), gestational age less than 24 years (AOR = 3.17, 95% CI: 16.28-0.97), child age 12-15 months (AOR = 2.27, 95% CI: 1.37-3.74), and child's birth weight (AOR = 0.63, 95% CI: 0.70-0.58). CONCLUSION: Based on the results of the present study, it seems that the possibility of being underweight among children is more related to the characteristics of mothers; therefore, taking care of mothers can control some of the weight loss of children.

Feasibility, acceptability, and appropriability of a national whole-school program for reducing school violence and improving school coexistence.

Introduction: The increase in school violence following the COVID-19 pandemic underscores the need for schools to adopt a multilevel whole-school approach. This study examines a national program designed by the Chilean Ministry of Education, in collaboration with universities, as part of the Ministry's Educational Reactivation Plan, aimed at improving school climate management across Chile. Methods: The "Learning to Live Together Program" (LLT) was implemented across all 16 regions of Chile, focusing on establishing school climate networks, providing direct intensive university technical assistance, and enhancing professional development and training. The feasibility, acceptability, and appropriability of the LLT program were assessed through a survey distributed to 1,561 staff members from 783 schools. Participants responded to a comprehensive set of instruments measuring acceptability, appropriability, feasibility, attitudes toward implementation, fidelity, and initial perceived results. Results: The results indicate high initial adoption rates and significant improvements in the assessed dimensions. The enhancement of school climate practices and strengthening school collaboration networks were of considerable relevance. Discussion: These findings support the efficacy of the multilevel whole-school approach as a viable strategy for Latin American countries, providing critical data for educational and governmental decision-making. Furthermore, this study provides evidence that these outcomes may be applicable to the implementation of similar policies in different contexts and countries.

Effect of admission time of arrival on quality of in-hospital care in acute ischemic stroke patients in China.

OBJECTIVES: The quality of care for patients may be partly determined by the time they are admitted to the hospital. This study was conducted to explore the effect of admission time and describe the pattern and magnitude of weekly variation in the quality of patient care. STUDY DESIGN: A retrospective observational study. METHODS: Data were collected from the Medical Care Quality Management and Control System for Specific (Single) Diseases in China. A total of 238,122 patients treated for acute ischemic stroke between January 2015 and December 2017 were included. The primary outcomes were completion of the ten process indicators and in-hospital death. RESULTS: The quality of in-hospital care varied according to hospital arrival time. We identified several patterns of variation across the days of the week. In the first pattern, the quality of four indicators, such as stroke physicians within 15 min, was lowest for arrivals between 08:00 and 11:59, increased throughout the day, and peaked for arrivals between 20:00 and 23:59 or 00:00 and 03:59. In the second pattern, the quality of four indicators, such as the application of antiplatelet therapy within 48 h, was not significantly different between days and weeks. There was no difference in in-hospital mortality between the different admission times. CONCLUSIONS: The effect of admission time on the quality of in-hospital care of patients with acute ischemic stroke showed several diurnal patterns. Detecting the times when quality is relatively low may lead to quality improvements in health care. Quality improvement should also focus on reducing diurnal temporal variation.

Adjustable Ultra-Light Mechanical Negative Poisson's Ratio Metamaterials with Multi-Level Dynamic Crushing Effects.

Mechanical metamaterials with multi-level dynamic crushing effects (MM-MLs) are designed in this study through coordinate transformation and mirror arrays. The mechanical effects of the diameter and length ratio of the struts and connecting rods, the Euler angles, and the cell numbers on the mechanical properties are investigated separately. MM-ML can exhibit significant two-level platform stress, and the local cells in the first platform stress stage undergo rotational motion, while the second platform stress stage mainly involves collapse compression and bending. Although increasing the length of the connecting rods can increase the range of Poisson's ratio, it will reduce the level of platform stress and energy absorption. Increasing the Euler angle will reduce the strain interval of the first platform stress and can improve the energy absorption capacity. In addition, increasing the cell number while maintaining a constant relative density can effectively enhance energy absorption. MM-ML has significant parameter controllability, can achieve different platform stress regions, different ranges of Poisson's ratios, and energy absorption requirements according to the application scenario, and can demonstrate functional diversity compared to existing research. The design scheme can provide ideas for adaptive crushing protection requirements.

Spatial Variation and Determinants of Inadequate Minimum Meal Frequency among Children Aged 6-23 Months in Ethiopia: Spatial and multilevel analysis using Ethiopian Mini Demographic and Health Survey (EMDHS) 2019.

Introduction: Minimum meal frequency is the number of times children eat in a day. Without adequate meal frequency, infants and young children are prone to malnutrition. There is little information on the spatial distribution and determinants of inadequate meal frequency at the national level. Therefore, we aimed to investigate the spatial distribution and determinants of inadequate meal frequency among young children in Ethiopia. Methods: The most recent Ethiopian demographic and health survey data was used. The analysis was conducted using a weighted sample of 1,610 children aged 6-23 months old. The Global Moran's I was estimated to assess the regional variation in minimum meal frequency. Further, a multivariable multilevel logistic regression model was fitted to identify factors associated with inadequate meal frequency. The AOR (adjusted odds ratio) at 95% CI (confidence interval) was computed to assess the strength and significance of the relationship between explanatory variables and the outcome variable. Factors with a p-value of <0.05 are declared statistically significant. Results: This study revealed that the prevalence of inadequate meal frequency was found to be 30.56% (95% CI: 28.33-32.88). We identified statistically significant clusters of high inadequate meal frequency, notably observed in Somalia, northern Amhara, the eastern part of southern nations and nationalities, and the southwestern Oromia regions. Child age, antenatal care (ANC) visit, marital status, and community level illiteracy were significant factors that were associated with inadequate meal frequency. Conclusion: According to the study findings, the proportion of inadequate meal frequency among young children in Ethiopia was higher and also distributed non-randomly across Ethiopian regions. As a result, policymakers and other concerned bodies should prioritize risky areas in designing intervention. Thus, special attention should be given to the Somalia region, the northern part of Amhara, the eastern part of Southern nations and nationalities, and southwestern Oromia.

Machine learning approach to predict venous thromboembolism among patients undergoing multi-level spinal posterior instrumented fusion.

Background: The absence of consensus for prophylaxis of venous thromboembolism (VTE) in spine surgery underscores the importance of identifying patients at risk. This study incorporated machine learning (ML) models to assess key risk factors of VTE in patients who underwent posterior spinal instrumented fusion. Methods: Data was collected from the IBM MarketScan Database [2009-2021] for patients ≥18 years old who underwent spinal posterior instrumentation (3-6 levels), excluding traumas, malignancies, and infections. VTE incidence (deep vein thrombosis and pulmonary embolism) was recorded 90-day post-surgery. Risk factors for VTE were investigated and compared through several ML models including logistic regression, linear support vector machine (LSVM), random forest, XGBoost, and neural networks. Results: Among the 141,697 patients who underwent spinal fusion with posterior instrumentation (3-6 levels), the overall 90-day VTE rate was 3.81%. The LSVM model demonstrated the best prediction with an area under the curve (AUC) of 0.68. The most important features for prediction of VTE included remote history of VTE, diagnosis of chronic hypercoagulability, metastatic cancer, hemiplegia, and chronic renal disease. Patients who did not have these five key risk factors had a 90-day VTE rate of 2.95%. Patients who had an increasing number of key risk factors had subsequently higher risks of postoperative VTE. Conclusions: The analysis of the data with different ML models identified 5 key variables that are most closely associated with VTE. Using these variables, we have developed a simple risk model with additive odds ratio ranging from 2.80 (1 risk factor) to 46.92 (4 risk factors) over 90 days after posterior spinal fusion surgery. These findings can help surgeons risk-stratify their patients for VTE risk, and potentially guide subsequent chemoprophylaxis.

Backward neural network (BNN) based multilevel control for enhancing the quality of an islanded RES DC microgrid under variable communication network.

Microgrids (MGs) and energy communities have been widely implemented, leading to the participation of multiple stakeholders in distribution networks. Insufficient information infrastructure, particularly in rural distribution networks, is leading to a growing number of operational blind areas in distribution networks. An optimization challenge is addressed in multi-feeder microgrid systems to handle load sharing and voltage management by implementing a backward neural network (BNN) as a robust control approach. The control technique consists of a neural network that optimizes the control strategy to calculate the operating directions for each distributed generating point. Neural networks improve control during communication connectivity issues to ensure the computation of operational directions. Traditional control of DC microgrids is susceptible to communication link delays. The proposed BNN technique can be expanded to encompass the entire multi-feeder network for precise load distribution and voltage management. The BNN results are achieved through mathematical analysis of different load conditions and uncertain line characteristics in a radial network of a multi-feeder microgrid, demonstrating the effectiveness of the proposed approach. The proposed BNN technique is more effective than conventional control in accurately distributing the load and regulating the feeder voltage, especially during communication failure.

Variance due to the examination conditions and factors associated with success in objective structured clinical examinations (OSCEs): first experiences at Paris-Saclay medical school.

BACKGROUND: We aimed to measure the variance due to examination conditions during the first sessions of objective structured clinical examinations (OSCEs) performed at a French medical school and identify factors associated with student success. METHODS: We conducted a retrospective, observational study using data from the first three OSCEs sessions performed at Paris-Saclay medical school in 2021 and 2022. For all sessions (each organized in 5 parallel circuits), we tested a circuit effect using a linear mixed-effects model adjusted for sex and the average academic level of students (according to written tests). Then, we studied the factors associated with student success at one station using a multivariate linear mixed-effects model, including the characteristics of students, assessors, and standardized patients. RESULTS: The study included three OSCEs sessions, with 122, 175, and 197 students and a mean (± SD) session score of 13.7(± 1.5)/20, 12.7(± 1.7)/20 and 12.7(± 1.9)/20, respectively. The percentage of variance due to the circuit was 6.5%, 18.2% (statistically significant), and 3.8%, respectively. For all sessions, the student's average level and station scenario were significantly associated with the score obtained in a station. Still, specific characteristics of assessors or standardized patients were only associated with the student's score in April 2021 (first session). CONCLUSION: The percentage of the variance of students' performance due to the examination conditions was significant in one out of three of the first OSCE sessions performed at Paris-Saclay medical school. This result seems more related to individual behaviors rather than specific characteristics of assessors or standardized patients, highlighting the need to continue training teaching teams. NATIONAL CLINICAL TRIAL NUMBER: Not applicable.

Mortality of neonates born to mothers of extreme reproductive age in Ethiopia; multilevel mixed effect analysis of Ethiopian demographic and health survey data of 2016.

Introduction: Neonatal mortality is still a major public health problem in middle- and low-income countries like Ethiopia. Despite strategies and efforts made to reduce neonatal death, the mortality rate declines at a slower pace in the country. Though there are studies conducted on neonatal mortality and its determinants, our searches of the literature have found no study on the extent of mortality of neonates born to mothers of extreme reproductive age in the study area. Therefore, this study aimed to assess the magnitude and factors associated with the mortality of neonates born to mothers of extreme reproductive age in Ethiopia. Methods: Secondary data analysis was conducted using 2016 Ethiopian Demographic and Health Survey data. The final study contained an overall weighted sample of 2,269 live births. To determine the significant factors in newborn deaths, a multilevel binary logistic regression was fitted. For measuring the clustering impact, the intra-cluster correlation coefficient, median odds ratio, proportional change in variance, and deviation were employed for model comparison. The adjusted odds ratio with a 95% confidence interval was presented in the multivariable multilevel logistic regression analysis to identify statistically significant factors in neonatal mortality. A P-value of less than 0.05 was declared statistically significant. Results: The neonatal mortality rate of babies born to extreme aged reproductive women in Ethiopia was 34 (95% Cl, 22.2%-42.23%) per 1,000 live birth. Being twin pregnancy (AOR = 10; 95% Cl: 8.61-20.21), being from pastoralist region (AOR = 3.9; 95% Cl: 1.71-8.09), having larger baby size (AOR = 2.93; 95% Cl: 1.4-9.12) increase the odds of neonatal mortality. On the other hand, individual level media exposure (AOR = 0.3; 95% Cl: 0.09-0.91) and community level media exposure (AOR = 0.24; 95% Cl: 0.07-0.83), being term gestation (AOR = 0.14; 95% Cl: 0.01-0.81) decreases the odds of neonatal mortality born to mothers of extreme reproductive age. Conclusion: Ethiopia had a greater rate of neonatal death among babies born at the extremes of reproductive age than overall reproductive life. Multiple pregnancies, larger baby sizes, emerging regions, term gestation, and media exposure were found to be significant factors associated with the mortality of neonates born to mothers of extreme reproductive age. Therefore, the concerned bodies should give emphasis to mothers giving birth before the age of 20 and above 35, access to media, healthy pregnancy, and special attention to pastoralists to reduce the burden of neonatal mortality.

Relationship among group learning, individuals' and groups' internalization of evidence-based practice, and nurses' sustainment of the practice: a cross-sectional study.

PURPOSE: This study, by applying the feedback process of the organizational learning model, examined the relationships among group learning, individuals' and groups' internalization of institutionalized evidence-based practice (I-EBP), and nurses' sustainment of I-EBP. DESIGN/METHODOLOGY/APPROACH: Twelve hospitals were included in this cross-sectional study, with 1,741 nurses from 59 wards. Anonymous questionnaires were administered from October to December 2021. Participants self-reported their wards' group learning, internalization of I-EBP, sustainment of I-EBP, EBP beliefs, intra-hospital transfers, and nursing research experiences. The number of nurses and I-EBP introduction length and type of I-EBP were assessed. Internalization of I-EBP of nurses and groups was considered the mediating variable, while group learning and nurses' sustainment of I-EBP were the independent and dependent variables, respectively. Significant variables in bivariate analyses were used as control variables. Multi-level Mediation Analysis and a significance test of indirect effect using the bootstrap method were conducted. FINDINGS: Responses from 360 nurses in 48 wards from 12 hospitals were analyzed. Groups' internalization of I-EBP significantly mediated the relationship between group learning and nurses' sustainment of I-EBP. In contrast, no significant mediating effect of nurses' internalization of I-EBP was observed. ORIGINALITY/VALUE: In the feedback process of organizational learning, group learning and its subsequent effects on individuals and groups have not been previously examined. Regardless of the nurses' degree of internalization of I-EBP, those who belong to the ward with a high degree of internalization of I-EBP are more likely to sustain it. Conducting group learning may prevent superficial practice, resulting in its sustainability.

Elizabeth Usher memorial lecture. Models, mind maps, and metacognition: How theory is the true hero.

Within the educational context of identifying the critical ingredients of an effective speech-language pathologist, this paper highlights the centrality of theory in underpinning every level of our practice. A spotlight is placed on us knowing how language and communication work, what makes our interventions work, how we can make the most difference through our choices in therapy, and what makes both us and our clients respond. So, what are the critical ingredients of an effective speech-language pathologist, of an effective therapy, of an effective therapeutic alliance, and why is this so important? While there are many foundational and guiding habits upon which new graduates, early career, and experienced clinicians shape their practice, no one habit is regarded as more important than us exploring the theoretical underpinnings of what we are doing and why. To underscore the role of theory in our everyday practice, a discourse level intervention for people with aphasia is used as an exemplar to track the complex contribution of different theories to a single intervention. Discourse level interventions are relatively new on the scene in the area of acquired language disorders. Child language interventions, on the other hand, have frequently revolved around the story, aiming to bridge the oral-literate divide through the development of narrative structure. This paper will aim to weave its own story around discourse level interventions, combining the narrative genre with the everyday genres used by adults in conversation. I will highlight how this approach taps into lexical theories, sentence processing theories, discourse organisation, and the cognitive underpinnings of language, and closely examine how this multilayering of language in context may hold some of the answers to questions around generalisation, impact, and making the greatest difference to individuals.

PCMD: A multilevel comparison database of intra- and cross-species metabolic profiling in 530 plant species.

Comparative metabolomics plays a crucial role in investigating gene function, exploring metabolite evolution, and accelerating crop genetic improvement. However, a systematic platform for comparing intra- and cross-species metabolites is currently lacking. Here, we report the Plant Comparative Metabolome Database (PCMD; http://yanglab.hzau.edu.cn/PCMD), a multilevel comparison database based on predicted metabolic profiles in 530 plant species. PCMD serves as a platform for comparing metabolite characteristics at various levels, including species, metabolites, pathways, and biological taxonomy. The database also provides a series of user-friendly online tools, such as Species-comparison, Metabolites-enrichment, and ID conversion, enabling users to perform comparisons and enrichment analyses of metabolites across different species. In addition, PCMD establishes a unified system based on existing metabolite-related databases by standardizing metabolite numbering. PCMD is the most species-rich comparative plant metabolomics database currently available, and a case study demonstrated its capability to provide new insights into understanding plant metabolic diversity.

The effects of family, culture and sex on linguistic development across 20 languages.

Languages vary in their complexity; caregivers vary in the way they structure their communicative interactions with children; and boys and girls can differ in their language skills. Using a multilevel modelling approach, we explored how these factors influence the path of language acquisition for young children growing up around the world (mean age 2-years 9-months; 56 girls). Across 43 different sites, we analysed 103 mother-child pairs who spoke 3,170,633 utterances, 16,209,659 morphemes, divided across 20 different languages: Afrikaans, Catalan, Cantonese, Danish, Dutch, English, Farsi, French, German, Hebrew, Icelandic, Irish, Italian, Japanese, Mandarin, Norwegian, Portuguese, Spanish, Swedish and Turkish. Using mean length of utterance (MLU) as a measure of language complexity and developmental skill, we found that variation in children's MLU was significantly explained by (a) between-language differences; namely the rate of child MLU growth was attuned to the complexity of their mother tongue, and (b) between-mother differences; namely mothers who used higher MLUs tended to have children with higher MLUs, regardless of which language they were learning and especially in the very young (<2.5 years-old). Controlling for family and language environment, we found no evidence of MLU sex differences in child speech nor in the speech addressed to boys and girls. By modelling language as a multilevel structure with cross-cultural variation, we were able to disentangle those factors that make children's pathway to language different and those that make it alike. RESEARCH HIGHLIGHTS: The speech of 103 mother-child pairs from 20 different languages showed large variation in the path of early language development. Language, family, but not the sex of the child, accounted for a significant proportion of individual differences in child speech, especially in the very young. The rate at which children learned language was attuned to the complexity of their mother tongue, with steeper trajectories for more complex language. Results demonstrate the relative influence of culture, family, and sex in shaping the path of language acquisition for different children.

Prevalence and associated risk factors for men being paid for sex in Ethiopia: a multilevel analysis of 2016 Ethiopian demographic health survey data.

Paying for sex is considered a high-risk sexual behavior, especially among men. Men who pay for sex are perceived to be a bridge group for sexually transmitted illnesses. In sub-Saharan Africa, the prevalence of paid sex among men is approximately 4.3%. Men paid for sex are not studied in Ethiopia. Therefore, the objective of this study was to identify factors associated with men paying for sex in Ethiopia. We analyzed data from the 2016 Ethiopian Demographic Health Survey. In the analysis, 9070 men were included. To identify factors associated with paid-for sex among men, we used a multilevel logistic regression model. A p value less than 0.05 was considered to indicate statistical significance at the 95% confidence interval (CI). In this study, 509 (5.6%) men were ever paid for sex. Men who paid for sex were significantly more likely to be rich [Adjusted Odds Ratio (AOR) = 1.70; 95% CI 1.287, 2.246], widowed or separated (AOR = 1.97; 95% CI 1.142, 3.396), had more sexual partners [AOR = 1.03; 95% CI 1.005, 1.063], had ever been tested for human immunodeficiency virus (HIV) (AOR = 1.50; 95% CI 1.173, 1.916), drank alcohol (AOR = 4.15; 95% CI 3.086, 5.576), and chewing khat (AOR = 2.28; 95% CI 1.822, 2.85); men who had ever paid for sex were significantly less likely to have higher education (AOR = .63; 95% CI .438, .898) and the lowest age at first sex (AOR = .90; 95% CI .870, .924). In conclusion, educational level, wealth status, province, marital status, age at first sexual intercourse, number of sexual partners, HIV status, alcohol consumption status, and chewing khat were significantly associated with men's paid-for sex. From a public and sexual health perspective, more education is needed for illiterate, widowed, separated, and rich men. Additionally, preventive measures should be taken against men's behavior through the use of alcohol or khat, having many sexual partners, and having young men.

Evaluating the feasibility and acceptability of a co-designed physical activity intervention for rural middle schoolers: a pilot study.

BACKGROUND: Lack of physical activity is a concern for children across diverse backgrounds, particularly affecting those in rural areas who face distinct challenges compared to their urban counterparts. Community-derived interventions are needed that consider the unique context and additional physical activity barriers in under-resourced rural settings. Therefore, a prospective pre-post pilot/feasibility study of Hoosier Sport was conducted over 8-weeks with 6th and 7th grade children in a low-socioeconomic rural middle school setting. The primary objective of the present study was to assess trial- and intervention-related feasibility indicators; and the secondary objective was to collect preliminary assessment data for physical activity levels, fitness, psychological needs satisfaction, and knowledge of physical activity and nutrition among participating youth. METHODS: This prospective 8-week pilot/feasibility study took place in the rural Midwestern United States where twenty-four middle school students participated in a mixed-methods pre-post intervention during physical education classes. The intervention included elements like sport-based youth development, individualized goal setting, physical activity monitoring, pedometer usage, and health education. Data were collected at baseline (T1) and post-intervention (T3), with intermediate measures during the intervention (T2). Qualitative data were integrated through semi-structured interviews. Analytical methods encompassed descriptive statistics, correlations, repeated measures ANOVA, and thematic analysis. RESULTS: Key findings indicate robust feasibility, with intervention-related scores (FIM, AIM, and IAM) consistently surpassing the "good" threshold and 100% retention and recruitment success. Additionally, participants showed significant physical performance improvement, shifting from the 25th to the 50th percentile in the 6-minute walk test (p < 0.05). Autonomy and competence remained high, reflecting positive perceptions of program practicality. Nutrition knowledge, initially low, significantly improved at post-intervention (p < 0.01), highlighting the efficacy of targeted nutritional education in Hoosier Sport. CONCLUSIONS: This study pioneers a community-engaged model for physical activity intervention in under-resourced rural settings. Positive participant feedback, coupled with improvements in physical fitness and psychosocial factors, highlights the potential of the co-design approach. The findings offer valuable insights and a practical template for future community-based research, signaling the promising impact of such interventions on holistic well-being. This research lays the foundation for subsequent phases of the ORBIT model, emphasizing collaborative, community-driven approaches to address the complex issue of declining physical activity levels among adolescents.

Dataset on global trade networks of COVID-19 medical products.

This paper presents a comprehensive dataset on the global trade dynamics of COVID-19-related medical products for the years 2019 and 2020. The dataset, derived from the BACI database, focuses on eight distinct product categories identified by six-digit codes. The trade flow data for 224 countries is structured as a multilevel network, with countries as nodes and product categories as layers. Directed edges represent trading activities, and edge weights are determined by the difference in exported values between 2019 and 2020. The dataset is provided in an edges-and-nodes format. Additionally, the associated R script transforms the data into the MuxViz R package format, facilitating further analysis and visualization of the dataset. The dataset is valuable for researchers in the field of foreign trade or medical products, and for decision-makers in these fields, whether at company or national level.

Household- and community-level factors of zero vegetable or fruit consumption among children aged 6-23 months in East Africa.

Introduction: The World Health Organization recommends that children aged 6-23 months should consume a diversified diet, including fruits and vegetables, during each meal. However, low consumption of fruits and vegetables contributes to 2.8% of child deaths globally. The literature review indicates limited research on factors that affect zero vegetable or fruit consumption among children aged 6-23 months in East Africa. Therefore, this study aimed to investigate the household- and community-level factors determining zero vegetable or fruit consumption among children aged 6-23 months in East Africa. Method: The study analyzed cross-sectional secondary data from the recent rounds of demographic and health surveys conducted in East Africa from 2015 to 2023. The weighted sample comprised 113,279 children aged 6-23 months. A multilevel mixed-effect analysis was used, measuring the random variation between the clusters based on the intra-cluster correction coefficient, median odds ratio, and proportional change variance. Adjusted odds ratio with a 95% confidence interval was reported while considering variables having a p < 0.05 as statistically significant. Results: The overall prevalence of zero vegetable or fruit consumption among children aged 6-23 months in East Africa was 52.3%, with Ethiopia showing the highest prevalence (85.9%). The factors associated with zero vegetable or fruit consumption were maternal educational level, number of household members, short birth interval, multiple births, sex of the household head, household wealth index, community-level maternal literacy, community-level wealth index, and countries. Conclusion: Considering the high overall prevalence of zero vegetable or fruit consumption among children aged 6-23 months in East Africa, overlooking this nutritional gap among children is a serious oversight. Therefore, efforts should be geared toward improving individual- and community-level maternal literacy. In particular, nutrition and public health organizations should support low-income communities to achieve vegetable or fruit consumption for infants and young children.

Biomechanical analysis of the tandem spinal external fixation in a multiple-level noncontiguous lumbar fractures model: a finite element analysis.

Objective: This study aimed to investigate the biomechanical characteristics of the tandem spinal external fixation (TSEF) for treating multilevel noncontiguous spinal fracture (MNSF) using finite element analysis and provide a theoretical basis for clinical application. Methods: We constructed two models of L2 and L4 vertebral fractures that were fixed with the TSEF and the long-segment spinal inner fixation (LSIF). The range of motion (ROM), maximum stresses at L2 and L4 vertebrae, the screws and rods, and the intervertebral discs of the two models were recorded under load control. Subsequently, the required torque, the maximum stress at L2 and L4 vertebrae, the screws and rods, and the intervertebral discs were analyzed under displacement control. Results: Under load control, the TSEF model reserved more ROM than the LSIF model. The maximum stresses of screws in the TSEF model were increased, while the maximum stresses of rods were reduced compared to the LSIF model. Moreover, the maximum stresses of L2 and L4 vertebrae and discs in the TSEF model were increased compared to the LSIF model. Under displacement control, the TSEF model required fewer moments (N·mm) than the LSIF model. Compared to the LSIF model, the maximum stresses of screws and rods in the TSEF model have decreased; the maximum stresses at L2 and L4 in the TSEF model were increased. In the flexion condition, the maximum stresses of discs in the TSEF model were less than the LSIF model, while the maximum stresses of discs in the TSEF model were higher in the extension condition. Conclusion: Compared to LSIF, the TSEF has a better stress distribution with higher overall mobility. Theoretically, it reduces the stress concentration of the connecting rods and the stress shielding of the fractured vertebral bodies.

Association of anaemia with indoor air pollution among older Indian adult population: multilevel modelling analysis of nationally representative cross-sectional study.

INTRODUCTION: Anaemia is a disease of public health importance with multi-causal pathways. Previous literature suggests the role of indoor air pollution (IAP) on haemoglobin levels, but this has been studied less due to logistic constraints. A high proportion of the population in developing countries, including India, still depends on unclean fuel, which exacerbates IAP. The objective was to study the association between anaemia and IAP among the older Indian adult population (≥ 45 years) as per gender. METHODS: Our study analysed the nationally representative dataset of the Longitudinal Ageing Study in India (LASI 2017-18, Wave-1). We have documented the association of anaemia (outcome variable) with IAP (explanatory variable). To reduce the confounding effects of demographic and socioeconomic; health related and behavioural covariates; propensity score matching (PSM) was conducted. Nested multilevel regression modelling was conducted. States and union territories were categorised cross tabulated as low, middle and high as per anaemia and IAP exposure. P value < 0.05 was considered statistically significant. SATA version 17 was used for analysis. RESULTS: More than half (52.52%) of the participants were exposed to IAP (male (53.55%) > female (51.63%)). The odds of having anaemia was significantly 1.19 times higher (AOR 1.19 (1.09-1.31)) among participants using unclean/ solid fuel. The adjusted odds were significantly higher among participants exposed to pollution-generating sources (AOR 1.30; 1.18-1.43), and household indoor smoking (AOR 1.17 (1.07-1.29). The odds of having anaemia were significantly higher (AOR 1.26; 1.15-1.38) among participants exposed to IAP, which was higher in males (AOR 1.36; 1.15-1.61) than females (AOR 1.21; 1.08-1.35). Empowered Action Group (EAG) states like Uttar Pradesh, Chhattisgarh, Madhya Pradesh, Bihar had both high anaemia and IAP exposure. CONCLUSION: This study established the positive association of anaemia with indoor air pollution among older Indian adults through a nationally representative large dataset. The association was higher among men. Further research is recommended to understand detailed causation and to establish temporality. It is a high time to implement positive intervention nationally to decrease solid/ unclean fuel usage, vulnerable ventilation, indoor smoking, IAP and health hazards associated with these with more focused actions towards EAG states.

Multi-level authentication for security in cloud using improved quantum key distribution.

Cloud computing is an on-demand virtual-based technology to develop, configure, and modify applications online through the internet. It enables the users to handle various operations such as storage, back-up, and recovery of data, data analysis, delivery of software applications, implementation of new services and applications, hosting websites and blogs, and streaming of audio and video files. Thereby, it provides us many benefits although it is backlashed due to problems related to cloud security like data leakage, data loss, cyber attacks, etc. To address the security concerns, researchers have developed a variety of authentication mechanisms. This means that the authentication procedure used in the suggested method is multi-levelled. As a result, a better QKD method is offered to strengthen cloud security against different types of security risks. Key generation for enhanced QKD is based on the ABE public key cryptography approach. Here, an approach named CPABE is used in improved QKD. The Improved QKD scored the reduced KCA attack ratings of 0.3193, this is superior to CMMLA (0.7915), CPABE (0.8916), AES (0.5277), Blowfish (0.6144), and ECC (0.4287), accordingly. Finally, this multi-level authentication using an improved QKD approach is analysed under various measures and validates the enhancement over the state-of-the-art models.