Impact of Yoga as an Add-On Intervention on Neurocognitive Functions Among Adult Athletes: A Pilot Study.

BACKGROUND: Athletes are vulnerable to musculoskeletal injuries and psychiatric conditions. Previous studies have reported the benefits of yoga on cognitive functions among healthy children, adults, and the elderly. This pilot study aimed to test the neurocognitive functions among athletes with/without yoga intervention. METHODS: A non-randomized, two-armed parallel-group, single-blind comparative trial was used. The participants were grouped into (i) yoga with sports activity (YSA, n = 15) and (ii) sports activity alone (SA, n = 14). The subjects were assessed at the baseline and after a one-month intervention using digit span forward (DSF), digit span backward (DSB), Trail Making Test (TMT) A & B, and Rey Auditory Verbal Learning Test (RAVLT). A comprehensive one-hour yoga training three days a week for two months constitutes selected asanas (postures), pranayama (breathing techniques), relaxation techniques, and meditation techniques. The control group constitutes the routine sports activity for the same period. RESULTS: A paired sample t-test showed a significant improvement in cognitive performance on TMT A & B duration and RAVLT total score in the YSA group compared with the SA group. However, a significant trend was observed for DSF, DSB, and RAVLT immediate recall. Independent sample t-test (pre-post change scores) showed no significant group difference in cognitive performance, except there was a significant trend observed related to DSF (p = 0.053) and RAVLT distraction (p = 0.09), where the yoga group showed better performance in cognitive functions. CONCLUSION: The results suggest that yoga may be integrated with sports to enhance neurocognitive functions.

Role of Hematological Parameters in the Grading of COVID-19 and a Model to Predict the Outcome in Inpatients.

Introduction Human coronaviruses, identified in the 1960s, are known culprits of respiratory infections. Classified into alpha, beta, gamma, and delta subgroups, these viruses have the capacity to transition from animal reservoirs to causing severe respiratory ailments in humans. Notable outbreaks like the 2003 severe acute respiratory distress syndrome (SARS) epidemic and the ongoing coronavirus disease 2019 (COVID-19) pandemic underscore the recurring emergence of novel coronaviruses with severe human infection potential. COVID-19, driven by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly become a leading global cause of severe acute respiratory syndrome. Immune system disruptions and cytokine imbalances contribute to severe cases, necessitating early diagnosis and precise severity assessment. Methodology This retrospective cross-sectional study encompassed 211 COVID-19 patients admitted to AIIMS Patna from May to July 2020. Clinical and hematological parameters, including neutrophils, eosinophils, basophils, lymphocytes, monocytes, red and white blood cell counts, platelet count, C-reactive protein (CRP), serum ferritin, and d-dimer, were meticulously recorded. Patients were categorized into non-severe and severe groups using the National Early Warning Score (NEWS) 2. Results  Our findings underscore the pivotal role of hematological markers in gauging COVID-19 severity. Notably, markers such as neutrophil-to-lymphocyte ratio (NLR), derived NLR, lymphocyte monocyte ratio, platelet lymphocyte ratio, d-dimer, CRP, and serum ferritin exhibited notable elevation in severe cases. Survival analysis further established the predictive potential of these markers in assessing disease progression and mortality risk. We advocate for the integration of these markers into existing severity assessment frameworks to foster objective clinical evaluations. Conclusion In conclusion, our study unravels the intricate connection between COVID-19 severity and hematological parameters. We emphasize the early warning capabilities of NLR, derived NLR, platelet lymphocyte ratio, and other markers in predicting disease progression. This research underscores the imperative need to incorporate hematological markers into the evaluation of COVID-19 severity, thereby providing invaluable insights for enhancing clinical practice and patient outcomes.

The Effect of Age on Semen Quality Among Male Partners of Infertile Couples: An Observational Study in a Tertiary Care Center in Eastern India.

INTRODUCTION: Male infertility contributes to a significant proportion of infertility cases, and advanced paternal age has been suggested to affect semen quality and fertility. However, the relationship between age and semen quality remains inconclusive, with conflicting findings reported in the literature. This study aimed to investigate the effect of age on semen quality among male partners of infertile couples in a tertiary care center in eastern India. METHODS: A cross-sectional observational study was conducted, involving 390 male participants aged 21-50 years, who were referred to the andrology laboratory for semen analysis between January 2019 and December 2022. Participants were categorized into three age groups (21-30, 31-40, and 41-50 years). Semen parameters, including sperm concentration, semen volume, motility, and morphology, were assessed according to the World Health Organization guidelines. RESULTS: Among the participants, no significant differences were observed in semen volume, motility, and morphology across different age groups. However, a statistically significant difference in sperm concentration among the three age groups was observed (p = 0.022). Spearman correlation analysis revealed a positive correlation between age and sperm concentration (r = 0.124, p = 0.013) as well as total sperm count (r = 0.10, p = 0.049). CONCLUSION: In this study, no significant decline in semen quality with age was found among male partners of infertile couples aged 21-50 years. These findings highlight the complex relationship between age and semen quality and emphasize the need for further research to better understand the underlying mechanisms and provide more conclusive evidence regarding the impact of age on male fertility.

Olfactory Dysfunction as a Marker for Essential Hypertension in a Drug-Naive Adult Population: A Hospital-Based Study.

BACKGROUND AND OBJECTIVE:  Essential hypertension is a leading cause of cardiovascular morbidity worldwide, but its precise etiology remains unclear. Although its prevalence is high, there is no established predictor for the condition at an early age. Recent research has suggested that olfactory function may be associated with blood pressure regulation. This study sought to explore the association between olfactory function and essential hypertension. METHODS:  Thirty middle-aged volunteers of both sexes with essential hypertension were recruited for the study along with 30 healthy control subjects matched for age and demographic characteristics. Participants completed a demographic questionnaire and then underwent olfactory function tests to assess odor threshold and identification using the Indian Smell Identification Test (InSIT). The researchers calculated a combined threshold-identification score for both groups and performed the statistical analysis. RESULTS:  The study group showed significant olfactory scores in comparison to the control group participants. Control group showed a significantly higher mean combined olfactory score than the study population (p = 0.03). Significant negative correlation between systolic blood pressure and olfactory function (Pearson's coefficient = -0.329, p = 0.011) and a similar significant negative correlation between diastolic blood pressure and olfactory function (Pearson's coefficient = -0.252, p = 0.052) were the other observations. Gender differences did not account for any difference in the smell sense. CONCLUSIONS:  There may be a connection between olfactory function and blood pressure regulation in individuals with essential hypertension. However, further research is needed to better understand this association and to determine whether olfactory function could be used as a predictor or marker for hypertension.

The Electroencephalographic Characterization of Hypsarrhythmia in Older Pediatric Population With Epilepsy Using Computer-Added Quantitative Methods.

Background Hypsarrhythmia is a classical multifocal electroencephalographic finding in patients of infantile spasm and related epileptic syndromes of early childhood including West syndrome and Otahara syndrome. It usually presents in early infancy and persists up to the age of two years, after which it usually resolves. The persistence of hypsarrhythmia beyond the age of two years has rarely been reported in the literature. The present study is an attempt to investigate and compare the origin and activation pattern of epileptic activity between the subjects aged 3-10 years with and without hypsarrythmia. Material and methods Forty-one patients in the age group of 3-10 years with features suggestive of seizure have been studied for quantitative electroencephalographic characteristics after dividing into hypsarrythmic and normal seizure patterns. Result The power spectral density (PSD) of 15 patients with hypsarrhythmia showed a significantly predominant delta frequency in quantitative electrography (qEEG) in comparison to the seizure subjects with normal electroencephalography (EEG) patterns. The amplitude progression analysis of both groups showed that the origin of focus of the hypsarrhythmic pattern is from the occipital region while no such pattern has been noticed in the control group. Discussion and conclusion Hypsarrythmia is known to show multifocal origin. Predominant occipital origin in older age group subjects distinguishes the condition from classical hypsarrythmia of early childhood. The occipital origin may be indicative of persistent immaturity of the thalamocortical synaptic pathway.

Small Dense Low-Density Lipoprotein Level in Newly Diagnosed Type 2 Diabetes Mellitus Patients With Normal Low-Density Lipoprotein.

Background and objective There are three subtypes of low-density lipoprotein (LDL): large buoyant (lb), intermediate, and small dense (sd). Among these LDL subtypes, small dense low-density lipoprotein (sdLDL) has been proven to be an independent risk factor for atherosclerosis. Type 2 diabetes mellitus (T2DM) encompasses several metabolic abnormalities and patients suffering from T2DM without good glycemic control are prone to develop atherosclerosis. Hence, in T2DM, it is recommended to evaluate blood lipids for early detection of hyperlipidemia to identify the risk. A larger percentage of sdLDL in T2DM patients with an optimal or near-optimal LDL level might be a hidden risk factor for atherosclerosis. Hence, we aimed to find the level of sdLDL cholesterol (sdLDL-C) among newly diagnosed T2DM patients with optimal or near-optimal blood lipids and to compare it with age and sex-matched controls. Materials and methods In this study, we enrolled newly diagnosed T2DM patients from the diabetic clinic of a tertiary care hospital. The patients were then tested for blood lipids, namely, total cholesterol, triglyceride, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol (LDL-C), including sdLDL-C. Then, age and sex-matched controls with similar baseline lipid levels to the T2DM group (without sdLDL-C) were recruited. After recruitment, both groups were measured for blood lipids including sdLDL-C in a single day. The level of sdLDL-C between the groups was tested statistically by the Mann-Whitney U test. Results A total of 50 T2DM patients with a median age of 36 years (Q1-Q3: 33.75-41) were included as the study group and 50 age and sex-matched controls with a median age of 34 years (32-37.25; p = 0.09) were recruited. The median fasting glucose was 165 (Q1-Q3: 145-199.25) mg/dL and 90.5 (Q1-Q3: 87.75-95.25) mg/dL (p < 0.0001) in the study and control groups, respectively. The LDL-C was 109.9 (Q1-Q3: 99.4-119.4) mg/dL and 108.5 (Q1-Q3: 87.55-124.1) mg/dL (p = 0.94) in the study and control groups, respectively. The sdLDL-C was 40.11 (Q1-Q3: 36.28-43.58) mg/dL and 24.64 (Q1-Q3: 22-32.49) mg/dL (p < 0.0001) in the study and control groups, respectively. Conclusion Newly diagnosed T2DM patients with blood lipids within an optimum or near-optimum level may have a higher percentage of sdLDL-C when compared with healthy controls. Hence, they may have a higher risk of atherosclerosis and cardiovascular diseases. Clinicians may miss the potential risks if they do not advise the sdLDL-C component of LDL-C while advising for the test for blood lipid.

Effects of the COVID-19 pandemic on semen quality in male partners of infertile couples: a hospital-based observational study.

The effects of the coronavirus disease 2019 (COVID-19) pandemic on male fertility have received considerable attention because human testes contain high levels of angiotensin-converting enzyme-2 receptors, through which severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can enter. Early studies showed decreases in semen quality during and after recovery from COVID-19. However, no semen quality studies have examined the effects of widespread subclinical and mild disease, as well as changes in lifestyle, psychosocial behavior, intake of dietary supplements, and stress. This cross-sectional study compared semen quality parameters in male partners of infertile couples between men who underwent semen analysis before the COVID-19 pandemic (prepandemic group) and men who underwent semen analysis during the pandemic period (pandemic group); the analysis sought to clarify the overall effects of the pandemic. No participants in the pandemic group had experienced clinically overt disease. Among the 239 participants, mean body weight (P = 0.001), mean body mass index (P < 0.001), median sperm concentration (P = 0.014), total sperm count (P = 0.006), and total percentages of motile (P = 0.013) and abnormal cells (P < 0.001) were significantly greater in the pandemic group (n = 137) than those in the prepandemic group (n = 102). Among abnormal cells, the percentages of cells with excess residual cytoplasm (P < 0.001), head defects (P < 0.001), and tail defects (P = 0.015) were significantly greater in the pandemic group than those in the prepandemic group. With the exception of morphology, the overall semenogram results were better in the pandemic group than those in the prepandemic group.

The Effectiveness of Rajyoga Meditation as an Adjuvant for Panic Anxiety Syndrome.

Objective: One of the most prevalent psychiatric conditions that affect a person's quality of life, ability to function and productivity, and consequently the loss of national income, are anxiety disorders. Rajyoga meditation (RM) is a form of meditation that is performed without rituals or mantras and can be practiced anywhere at any time. In this study, we attempted to evaluate the modulation of psycho-physiological parameters in panic disorder patients by a technique of short-term on RM. Methods: In this prospective randomized control study, 110 patients with panic disorder were randomized into two groups, Group A (standard treatment + RM) and Group B (Standard treatment). The participants of both group participants were subjected to sleep quality score, Physical Health Questionnaire-9 score, Panic Disorder Severity Scale (PDSS), and Hamilton Anxiety Rating Scale (HAM-A) questionnaires before starting the study (baseline) and at the end of the 8th week. Study groups were compared at baseline and at the end of 8 weeks. Results: We found that the PDSS/HAM-A was not statistically different among the study groups at baseline (P > 0.05); however, there was a statistically significant difference in mean z-scores of PDSS and post-HAM-A scores among the study groups at 8 weeks (P < 0.001). The composite score was created by adding the z-scores of pre- and post-PDSS and HAM-A. We found a statistically significant difference in postcomposite scores between the study groups (P < 0.001). Analysis of co-variance for PDSS and HAM-A among study groups showed statistical significance (P < 0.001). Conclusion: When used in conjunction with pharmaceutical treatments for the treatment of panic disorder, RM is a successful therapy. The key factors are adherence and motivation while being supervised by a licensed therapist.

Role of cystatin C and calprotectin as potential early prognostic biomarkers in COVID-19 patients admitted to a dedicated COVID care facility.

Background: The COVID-19 pandemic has claimed millions of lives. A tool for early prediction of severity and mortality risk is desirable for better utilization of health care facilities. Several biomarkers like D-dimer, lactate dehydrogenase (LDH), C-reactive protein (CRP) and some recently explored biomarkers like serum cystatin C and serum calprotectin have been proposed as prognostic markers of COVID-19, but their role as prognostic markers is so far undefined. The present work attempted to investigate the possible role of serum cystatin C and serum calprotectin as prognostic tools to predict severity and outcome ahead of time. Material and Methods: This observational cohort study was carried out on 95 COVID-19 patients admitted to a dedicated COVID care facility from mid-October 2020 to January 2021. Serial estimations of serum cystatin C and serum calprotectin levels were done and assessed for significant difference between severe (NEWS 2 score ≥5) and non-severe (NEWS 2 score <5) groups, survivors and deceased and on the basis of comorbidities at each time points. Survival analysis was done based on the optimal thresholds for severity and mortality, calculated from the receiver operating characteristic (ROC). Result: The results showed that median cystatin C levels were significantly higher on the first day in the severe group (P < 0.001) and in patients with cardiovascular disease (P < 0.05), chronic lung disease (P = 0.009) and among patients who died (P < 0.05). It remained raised on day 3 in severe (P < 0.05) and deceased (P < 0.05) group. Serum calprotectin levels were significantly higher in patients with chronic lung disease (P = 0.008) and in those who died (P < 0.05). Conclusion: Serum cystatin C could be used as a tool for early prognosis and therapeutic decision-making for COVID-19 patients. Serum calprotectin seems to be a better marker of critical illness.

Role of Dantabija, Haridra, and Zingiber (DHZ) combination to restore health and immunity in mild to moderate COVID-19 patients.

Background: COVID-19 (SARS-CoV-2) has caused various clinical manifestations ranging from asymptomatic, minor flu-like symptoms to acute respiratory distress syndrome (ARDS), pneumonia, and even death. Early restriction of viruses is of utmost importance in controlling the spread of COVID-19. The present study aimed to evaluate the role of a common herbal extract combination of pomegranate (dantabija), turmeric (haridra), and zinger (DHZ) in mild to moderate covid cases. Methods: A hundred covid-positive subjects of mild to moderate severity have been randomized to control and study groups. The study population has been given the fixed-dose combination of DHZ as an adjuvant to standard treatment. Data have been analyzed using standard statistical tools. Finding: DHZ as an adjuvant helped in turning 83.33% of patients negative in the home quarantine group whereas 40% of patients in the hospitalized group turned negative with the addition of DHZ in the standard management. The percent negativity was lower in patients who received only standard management. Out of all patients, who did not receive DHZ, only 38% of patients in home quarantine and 32% in hospitalized patients became negative for COVID-19. Patients who received DHZ also showed improvement in blood pressure levels, oxygen levels as well as improvement in all symptoms associated with COVID-19 infections. Interpretation: DHZ has shown a promising effect in mild to moderate cases of COVID-19 as an adjuvant to the standard therapy. The study results indicated that the combination probably produces its effect by its immunomodulatory action.

A multi model ensemble based deep convolution neural network structure for detection of COVID19.

The year 2020 will certainly be remembered for the COVID-19 outbreak. First reported in Wuhan city of China back in December 2019, the number of people getting affected by this contagious virus has grown exponentially. Given the population density of India, the implementation of the mantra of the test, track, and isolate is not obtaining satisfactory results. A shortage of testing kits and an increasing number of fresh cases encouraged us to come up with a model that can aid radiologists in detecting COVID19 using chest Xray images. In the proposed framework the low level features from the Chest X-ray images are extracted using an ensemble of four pre-trained Deep Convolutional Neural Network (DCNN) architectures, namely VGGNet, GoogleNet, DenseNet, and NASNet and later on are fed to a fully connected layer for classification. The proposed multi model ensemble architecture is validated on two publicly available datasets and one private dataset. We have shown that our multi model ensemble architecture performs better than single classifier. On the publicly available dataset we have obtained an accuracy of 88.98% for three class classification and for binary class classification we report an accuracy of 98.58%. Validating the performance on private dataset we obtained an accuracy of 93.48%. The source code and the dataset are made available in the github linkhttps://github.com/sagardeepdeb/ensemble-model-for-COVID-detection.

Iterative Filtering Decomposition Based Early Dementia Diagnosis Using EEG With Cognitive Tests.

OBJECTIVE: There has been a constant increase in life expectancy with the advancement of modern medicine. Likewise, dementia has also increased and projected to elevate in the coming decades with the higher expenditure on healthcare. Consequently, it is essential to identify early dementia, e.g., a patient suffering from mild cognitive impairment who is highly vulnerable to developing dementia soon. METHODS: Through this work, we brought forward an approach by fusing cognitive task and EEG signal processing. Continuous EEG of 16 dementia, 16 early dementia and 15 healthy subjects recorded under two resting states; eye open and eye closed, and two cognitive states; finger tapping test (FTT) and the continuous performance test (CPT). The present approach introduced iterative filtering (IF) as a decomposition technique for dementia diagnosis along with four significant EEG features power spectral density, variance, fractal dimension and Tsallis entropy. Multi-class classification conducted to compare the decision tree, k nearest neighbour ( k NN), support vector machine, and ensemble classifiers. RESULTS: The proposed approach deeply checked for their capability of prediction using cognitive scores and EEG measures. The highest accuracies obtained by k NN with 10-fold cross-validation for dementia, early dementia and healthy are 92.00%, 91.67% and 91.87%, respectively. CONCLUSION: The essential findings of this study are: 1) Experimental results indicate that k NN is superior over other classifier algorithms for dementia diagnosis. 2) CPT is the best predictor for healthy subjects. 3) FTT can be an essential test to diagnose significant dementia. SIGNIFICANCE: IF decomposition technique enhances the diagnostic accuracy even with a limited dataset.

Multi-channel EEG based automatic epileptic seizure detection using iterative filtering decomposition and Hidden Markov Model.

Electroencephalography (EEG) is a non-invasive method for the analysis of neurological disorders. Epilepsy is one of the most widespread neurological disorders and often characterized by repeated seizures. This paper intends to conduct an iterative filtering based decomposition of EEG signals to improve upon the accuracy of seizure detection. The proposed approach is evaluated using All India Institute of Medical Science (AIIMS) Patna EEG database and online CHB-MIT surface EEG database. The iterative filtering decomposition technique is applied to extract sub-components from the EEG signal. The feature set obtained from each segmented intrinsic mode function consists of 2-D power spectral density and time-domain features dynamic mode decomposition power, variance, and Katz fractal dimension. The Hidden Markov Model (HMM) based probabilistic model has been designed using the above-stated features representing the seizure and non-seizure EEG events. The EEG signal is classified based on the maximum score obtained from the individual feature-based classifiers. The maximum score derived from each HMM classifier gives the final class information. The proposed decomposition of EEG signals achieved 99.60% and 99.74% accuracy in seizure detection for the online CHB-MIT surface EEG database and AIIMS Patna EEG database, respectively.

Effect of music of specific frequency upon the sleep architecture and electroencephalographic pattern of individuals with delayed sleep latency: A daytime nap study.

INTRODUCTION: Sleep is normal human behaviour. However, the stress in daily life leads to altered sleep behaviour like insomnia, parasomnia, etc. Owing to possible side effects, mind-body interventions like music, yoga and meditation could be a better alternative intervention to pharmacological interventions for the condition. It is known that 432 Hz music to have some effect on the overall sleep quality though some knowledge gap does exist. The present study aims to find the effects of 432 Hz on sleep quality and sleep latency in a daytime nap among subjects with history of delayed sleep latency. MATERIAL AND METHOD: Fifteen healthy male volunteers aged 18 to 40 years with history of delayed sleep latency were recruited for the study from a cohort of working staff and students at the institute, after due ethical clearance following the inclusion and exclusion criteria. All the subjects were subjected to sleep study with and without music intervention at the gap of 1 week. Sleep parameters recorded include sleep stages, electroencephalogram (EEG), electrocardiogram (ECG), electromyography (EMG), nasal airflow, thoracic movement, nasal saturation etc. RESULT: Outcome of the study shows some decrease in the mean sleep latency (P > 0.05) with significant increase in the energy of alpha waves (P < 0.01) at the sleep onset. CONCLUSION: It was concluded that 432 Hz music has some significant calming effect as reflected by increased alpha activities without any significant effect upon the sleep latency in the daytime naps.

Study of the effect of obesity on QT-interval among adults.

BACKGROUND: Obesity affects the different organ systems of human body and has been recognized as a risk factor for the development of many diseases. Most of the cardiovascular diseases develop due to obesity which reflects alterations in either cardiac morphology or conduction defects. These abnormalities are reflected in ECG as prolongation of various intervals. Prolongation of QT-interval has been found to be associated with ventricular arrhythmia and sudden cardiac death. AIMS AND OBJECTIVES: The aim of the study was to investigate the effect of obesity on QT-interval to assess the risk of development of cardiovascular diseases in early stage. MATERIALS AND METHODS: A cross-sectional study was conducted on 80 cases and 80 controls, which included adults of 18-40 years age groups from both sexes. The cases were obese [body mass index (BMI) >30 kg/m2] and the controls were nonobese (BMI < 25 kg/m2). ECG of the cases and controls was recorded and their QT-intervals were calculated and analyzed with BMI by independent samples test. RESULTS: We found significantly higher QT-intervals in obese group in comparison to that of nonobese group (P = 0.000). CONCLUSION: Obesity was found to be associated with prolongation of QT-interval among young obese adults. This prolongation of QT-interval duration increases the possibility of left ventricular enlargement and ventricular fibrillation. Hence the present study helps in creating awareness among obese people so that they can change their lifestyle in order to prevent the onset of the deleterious effects of obesity on their health.

The effect of short-term exposure to red and blue light on the autonomic tone of the individuals with newly diagnosed essential hypertension.

The research study aimed to study the effect of short term exposure to light basically red, blue and white on the autonomic tone of essential hypertensive individuals. The objective was to find out the baseline cardiac autonomic function along with the effect of these lights on the cardiac autonomic function among them. Till date few if any study have been conducted upon the individuals with certain disorder as common as essential hypertension. This was a cross sectional observational study conducted in the institute itself that included 77 newly diagnosed hypertensive subjects who willingly participated in the study. After written informed consent, brief history taking with the help of self-made questionnaire and clinical examination, they were randomized to different intervention groups (IG) namely IG I (red) IG II (blue) and IG III (white). HRV analysis of the last 5-6 minutes of both the baseline and color exposure was finally analyzed using MS Excel version 13 and Graph Pad Prism version 7.05. Different HRV parameters have been found to be affected differently on different color exposures. Red has shown to have an impact, mainly on the sympathetic system whereas white showed a dominant vagal component thus acting as a parasympathetic regulator. On one hand, where no conclusive result was found on blue light exposure, white light showed the most prominent results affecting various time and frequency components of HRV like SDRR, TP, LF etc. The present study, both, contradicts as well as supports various other works done on the similar area of interest. One reason of such high variation in different results is because HRV is itself a very dynamic function affected by even a slight change in both the internal and external environment of the subject. As artificial lights of various colors are part and parcel of the aesthetics and designing of most of the work environment all over world, it is very pertinent to study its impact upon human health status. The outcome of the study may play a decisive role in the diagnostics and therapeutics of essential hypertension in days to come. Furthermore, on the basis of the present findings, a future study could be undertaken with bigger data base addressing the limitations of the present study to find some conclusive evidence in the area highlighted.

Role of language proficiency and personality traits upon the academic performance of undergraduate medical students.

BACKGROUND: Academic performance of medical students is governed by various factors. Personality traits such as core self-evaluation (CSE) and locus of control (LOC) are a few of the most important factors that could govern academic performance. The medium of communication is another important factor, especially in a country with language diversity that could affect the academic performance of the new medical entrants. The study aims to examine the effect of LOC, CSE score, and English Language proficiency on the academic performance of undergraduate medical students. MATERIALS AND METHODS: Ninety undergraduate medical students of a premier central government medical institute of India has been recruited for the study after due ethical clearance from the Institutional Ethical Committee. A standard questionnaire for all the parameters to be studied had been filled by the participants. The academic performance has been judged on the basis of the professional examination's marks score. RESULTS: The multiple regression analysis considering all the variables, the English language proficiency appears to be the most important factor with R2 = 0.106 and P = 0.003. Most of the academic performers have shown the dominance of internal LOC and moderately high CSE scores though not statistically significant. CONCLUSIONS: Language proficiency appears to be one of the most important determinants of academic performance in the medical entrants of Indian subcontinent. LOC and CSE could be an important yardstick for academic performance, but that needs to be confirmed with another study with a bigger data set.

Effects of age and body mass index on peak-expiratory flow rate in Indian population.

Peak expiratory flow rate (PEFR) is a measure of ventilatory capacity measured by peak flow meter. It is regarded as a basic physiological parameter for the diagnosis, follow up and treatment of patients with respiratory illnesses such as asthma, chronic bronchitis, and emphysema. This study establishes the relationship of PEFR with age and BMI in healthy adult males (N=300) of Kumaon region of Uttarakhand. Overall, the mean PEFR is 478.37±68.14. The age is significantly affecting the PEFR unlike BMI. Age as an independent predictor predicts the 72.3% variability (R2 is 72.3%) in PEFR while BMI > 23 as an independent predictor predicts only 1.4% variability (R2 is 0.014). PEFR declines with advancing age due to degenerative changes in musculoskeletal system leading to decrease in respiratory muscle strength. PEFR shows some decline with high BMI in elderly age group.

Juvenile granulosa cell tumor of testis: case report and review of literature.

Juvenile granulosa cell tumor (JGCT) of testis is extremely rare in childhood. It is considered a benign entity because metastasis has never been reported. Testicular-sparing surgery is the recommended treatment. We reported this case in a newborn who presented with unilateral scrotal swelling. Histopathology and immunohistochemistry confirmed JGCT. Follow-up at 6 months after surgery did not show any recurrence. Even though JGCT is very rare in childhood, it is one of the important differentials of newborn scrotal mass.