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Adolescents are being more vulnerable to non-communicable diseases (NCDs). A healthy food environment is crucial in maintaining a healthy diet and achieving better health outcomes. This study aimed to determine how certain features of home food environment affect diet quality and Body Mass Index (BMI) of school-going adolescents. We conducted a cross-sectional analytical study among 678 school-going adolescents aged 15-19 years in Budanilkantha municipality of Kathmandu, Nepal. We assessed home availability of food items in the past day, walking time needed to reach nearest shops from home, parental modeling, and parenting style. Furthermore, we assessed diet quality using a Diet Quality Questionnaire as Global Dietary Recommendations (GDR) Score and measured height and weight of participants to calculate BMI. We used multiple regression models to analyze data, all statistical analyses were performed using STATA-14. Of 678 participants, 51.92% were males, and mean age was 15.56 years. Those who had to walk > 20 minutes to reach nearest vegetable shop had an average 1.44 point lower GDR Score (95% CI: -2.08, -0.19) than those with vegetable shops at their home. Those who had processed meat at home in the past day had 1.61 points lower GDR Score (95% CI: -1.95, -1.28), those with fruits and vegetables had 0.74 points lower GDR Score (95% CI: 0.48, 1.00) as compared to those who didn't have. Participants who had starchy staple available had a BMI score lower by 5.59 kg/m2 on average (95% CI: - 10.78, - 0.40), and when two participants whose parental modeling scores differed by a unit were compared, the one with a higher score had on an average 0.19 kg/m2 greater BMI (95% CI: 0.01, 0.37). This study highlights impact of home food environment on diet quality and BMI among adolescents in urban Nepal. Availability of healthy foods positively affects diet quality, while unhealthy items negatively influences it. Future research should explore wider food environmental factors and intervention strategies to improve adolescents' diet quality.

Background/Objectives: Understanding the relationship between dietary patterns, nutrient intake, and chronic disease risk is critical for public health strategies. However, confounding from lifestyle and individual factors complicates the assessment of diet–disease associations. Emerging machine learning (ML) techniques offer novel approaches to clarifying the importance of multifactorial predictors. This study investigated the associations between animal-sourced and plant-based dietary patterns and Type 2 diabetes (T2D) history, accounting for diet–lifestyle patterns employing the XGBoost algorithm. Methods: Using data from the National Health and Nutrition Examination Survey (NHANES) from 2013 to 2016, individuals consuming animal-sourced foods (ASF) and plant-based foods (PBF) were propensity score-matched on key confounders, including age, gender, body mass index, energy intake, and physical activity levels. Predictors of T2D history were analyzed using the XGBoost classifier, with feature importance derived from Shapley plots. Lifestyle and dietary patterns derived from principal component analysis (PCA) were incorporated as predictors, and high multicollinearity among predictors was examined. Results: A total of 2746 respondents were included in the analysis. Among the top predictors of T2D were age, BMI, unhealthy lifestyle, and the ω6: ω3 fatty acid ratio. Higher intakes of protein from ASFs and fats from PBFs were associated with lower T2D risk. The XGBoost model achieved an accuracy of 83.4% and an AUROC of 68%. Conclusions: This study underscores the complex interactions between diet, lifestyle, and body composition in T2D risk. Machine learning techniques like XGBoost provide valuable insights into these multifactorial relationships by mitigating confounding and identifying key predictors. Future research should focus on prospective studies incorporating detailed nutrient analyses and ML approaches to refine prevention strategies and dietary recommendations for T2D.

Background Eating disorders are strongly associated with body image concerns. Eating disorders tend to significantly impact the current and future health and quality of life of affected persons, their caregivers, and society. As body image is based on a social construct of ideal body image, it is essential to evaluate it in its cultural context. Methods The current study explored the relationship among body image perception, perceived stress, eating disorder behaviour and quality of life among female medical students (n = 777). Measurements included Body Shape Questionnaire, Body Image Quality of Life Inventory, Eating Attitudes Test-26 and Rosenberg Self-Esteem Scale. Multivariate analysis was conducted. Results There was a significant correlation between eating disorder behaviour and perceived body shape, body image, quality of life and self-esteem among our study participants. We also found eating disorder status was significantly associated with BMI, perceived body shape, quality of life and self-esteem. Conclusions This is of clinical implication to female medical students and healthcare professionals to engage early in primary and secondary prevention of eating pathologies. Increasing awareness of these facts among female students can help identify at-risk students and help them seek timely medical help. Plain English Summary Eating disorders significantly impact the current and future health and quality of life of affected persons, their caregivers, and society. Young people are persistently flooded with social media conceptualizations of what beauty should look like. The current study explored the relationship between how we perceive our body, perceived stress, maladaptive eating behaviours and quality of life among female medical students (n=777). Measurements included those measuring perceived body shape and body image, quality of life, eating attitudes, and self-esteem. We found that a preoccupation with weight and food, crash diets, fasting, binge eating, and purging behaviours was related to how we perceived our body shape, our quality of life and self-esteem among the study participants. This is important for female medical students and healthcare professionals because it enables them to identify students at risk of eating disorders and assist them in obtaining timely medical help, thus promoting early prevention.

The importance of dietary calcium intake in bone metabolism has been well established; however, it is still less investigated in health-related components, especially addressing muscle performance. This study aims to compare dietary calcium intake and its relationship with cardiovascular and muscular performance in young athletes (Lacrosse, Baseball, and soccer players). In this cross-sectional study, 95 participants (ages 18 to 30) participated during two visits to the Human Performance Laboratory. Participants completed body composition, lower and upper body muscle performance, cardiorespiratory protocol, and questionnaires related to dietary calcium intake. One-way ANOVA was used to determine the difference in the calcium intake between groups. The Pearson Correlation Coefficient was used to investigate the relationship between dietary calcium intake and muscle performance variables. Further, linear regression was used to assess the predictive value of calcium variables on overall muscle performance. Lacrosse players had significantly higher calcium intake than Baseball and soccer players (p < 0.05). There was a significant positive correlation between dietary calcium intake and the number of push-ups (r = 0.28; p = 0.03). CIBW and CI explained 4.3% and nearly 25% of the change in MPI, respectively (p < 0.001). This suggests the possible role of dietary calcium intake in enhancing health-related fitness components and highlights the need to explore its involvement in muscle-bone crosstalk.

Many health diagnostic systems demand noninvasive sensing of respiratory rate, respiratory volume, and heart rate with high user comfort. Previous methods often require multiple sensors, including skin-touch electrodes, tension belts, or nearby off-the-body readers, and hence are uncomfortable or inconvenient. This paper presents an over-clothing wearable radio-frequency sensor study, conducted on 20 healthy participants (14 females) performing voluntary breathing exercises in various postures. Two prototype sensors were placed on the participants, one close to the heart and the other below the xiphoid process to couple to the motion from heart, lungs and diaphragm, by the near-field coherent sensing principle. We can achieve a satisfactory correlation of our sensor with the reference devices for the three vital signs: heart rate ( r  = 0.95), respiratory rate ( r  = 0.93) and respiratory volume ( r  = 0.84). We also detected voluntary breath-hold periods with an accuracy of 96%. Further, the participants performed a breathing exercise by contracting abdomen inwards while holding breath, leading to paradoxical outward thorax motion under the isovolumetric condition, which was detected with an accuracy of 83%.

Muga (Antheraea assamensis) is an economically important silkmoth endemic to the states of Assam and Meghalaya in India and is the producer of the strongest known commercial silk. However, there is a scarcity of genomic and proteomic data for understanding the organism at a molecular level. Our present study is on decoding the complete mitochondrial genome (mitogenome) of A. assamensis using next generation sequencing technology and comparing it with other available lepidopteran mitogenomes. Mitogenome of A. assamensis is an AT rich circular molecule of 15,272 bp (A+T content ~80.2%). It contains 37 genes comprising of 13 protein coding genes (PCGs), 22 tRNA and 2 rRNA genes along with a 328 bp long control region. Its typical tRNAMet-tRNAIle-tRNAGln arrangement differed from ancestral insects (tRNAIle-tRNAGln-tRNAMet). Two PCGs cox1 and cox2 were found to have CGA and GTG as start codons, respectively as reported in some lepidopterans. Interestingly, nad4l gene showed higher transversion mutations at intra-species than inter-species level. All PCGs evolved under strong purifying selection with highest evolutionary rates observed for atp8 gene while lowest for cox1 gene. We observed the typical clover-leaf shaped secondary structures of tRNAs with a few exceptions in case of tRNASer1 and tRNATyr where stable DHU and TΨC loop were absent. A significant number of mismatches (35) were found to spread over 19 tRNA structures. The control region of mitogenome contained a six bp (CTTAGA/G) deletion atypical of other Antheraea species and lacked tandem repeats. Phylogenetic position of A. assamensis was consistent with the traditional taxonomic classification of Saturniidae. The complete annotated mitogenome is available in GenBank (Accession No. KU379695). To the best of our knowledge, this is the first report on complete mitogenome of A. assamensis.

Iron deficiency anemia (IDA) continues to be major public health problem in India. It is estimated that about 20% of maternal deaths are directly related to anemia and another 50% of maternal deaths are associated with it. The question, therefore, is why, despite being the first country to launch the National Nutritional Anemia Prophylaxis Programme in 1970, the problem of IDA remains so widespread. As is to be expected, the economic implications of IDA are also massive. The issues of control of IDA in India are multiple. Inadequate dietary intake of iron, defective iron absorption, increased iron requirements due to repeated pregnancies and lactation, poor iron reserves at birth, timing of umbilical cord clamping, timing and type of complementary food introduction, frequency of infections in children, and excessive physiological blood loss during adolescence and pregnancy are some of the causes responsible for the high prevalence of anemia in India. In addition, there are other multiple programmatic and organizational issues. This review, therefore, is an attempt to examine the current burden of anemia in India, its epidemiology, and the various issues regarding its prevention and control, as well as to offer some innovative approaches to deal with this major health problem.

Background: Excessive use of social media is increasingly being recognized as a source of technological addiction in young people globally. Objective: The aim of this study is to assess social media addiction in medical students using a self-designed questionnaire. Materials and Methods: We collected data from undergraduate medical students (MBBS) in Delhi, India using a self-administered 20-item social media addiction questionnaire (SMAQ) to measure addiction-like behavior, and the Pittsburgh Sleep Quality Index (PSQI) to assess sleep quality. Results: We enrolled 264 (62.3%) male and 160 (37.7%) female participants of mean (standard deviation) age 19.83 (1.6) years. The Cronbach's alpha of the SMAQ was 0.879. A principal component analysis revealed a 4-component SMAQ structure based on eigenvalue cutoff (>1), loading score >0.3, and inspection of the Scree-plot that explained 54.7% of the total variance. We observed strong loadings of impaired control items on Component 1, decreased alternate pleasure items on Component 2, intense desire items on Component 3, and harmful use items on Component 4. The mean SMAQ score was significantly higher in the students reporting poor sleep quality and older students. Conclusion: The SMAQ has acceptable psychometric properties, with higher scores associated with sleep deprivation. A majority of students were unable to reduce their time spent on social media despite wanting to do so, signifying the presence of tolerance and impaired control.

This work presents a study on users’ attention detection with reference to a relaxed inattentive state using an over-the-clothes radio-frequency (RF) sensor. This sensor couples strongly to the internal heart, lung, and diaphragm motion based on the RF near-field coherent sensing principle, without requiring a tension chest belt or skin-contact electrocardiogram. We use cardiac and respiratory features to distinguish attention-engaging vigilance tasks from a relaxed, inattentive baseline state. We demonstrate high-quality vitals from the RF sensor compared to the reference electrocardiogram and respiratory tension belts, as well as similar performance for attention detection, while improving user comfort. Furthermore, we observed a higher vigilance-attention detection accuracy using respiratory features rather than heartbeat features. A high influence of the user’s baseline emotional and arousal levels on the learning model was noted; thus, individual models with personalized prediction were designed for the 20 participants, leading to an average accuracy of 83.2% over unseen test data with a high sensitivity and specificity of 85.0% and 79.8%, respectively

Background Plasmodium species are entirely dependent upon their host as a source of essential iron. Although it is an indispensable micronutrient, oxidation of excess ferrous iron to the ferric state in the cell cytoplasm can produce reactive oxygen species that are cytotoxic. The malaria parasite must therefore carefully regulate the processes involved in iron acquisition and storage. A 273 amino acid membrane transporter that is a member of the vacuolar iron transporter (VIT) family and an orthologue of the yeast Ca 2+ -sensitive cross complementer (CCC1) protein plays a major role in cytosolic iron detoxification of Plasmodium species and functions in transport of ferrous iron ions into the endoplasmic reticulum for storage. While this transporter, termed PfVIT, is not critical for viability of the parasite evidence from studies of mice infected with VIT-deficient Plasmodium suggests it could still provide an efficient target for chemoprophylactic treatment of malaria. Individual amino acid residues that constitute the Fe 2+ binding site of the protein were identified to better understand the structural basis of substrate recognition and binding by PfVIT. Methods Using the crystal structure of a recently published plant VIT as a template, a high-quality homology model of PfVIT was constructed to identify the amino acid composition of the transporter’s substrate binding site and to act as a guide for subsequent mutagenesis studies. To test the effect of mutation of the substrate binding-site residues on PfVIT function a yeast complementation assay assessed the ability of overexpressed, recombinant wild type and mutant PfVIT to rescue an iron-sensitive deletion strain ( ccc1∆ ) of Saccharomyces cerevisiae yeast from the toxic effects of a high concentration of extracellular iron. Results The combined in silico and mutagenesis approach identified a methionine residue located within the cytoplasmic metal binding domain of the transporter as essential for PfVIT function and provided insight into the structural basis for the Fe 2+ -selectivity of the protein. Conclusion The structural model of the metal binding site of PfVIT opens the door for rational design of therapeutics to interfere with iron homeostasis within the malaria parasite.