Association of serum lipid profile and other systemic risk factors with retinal hard exudates in diabetic retinopathy.

PURPOSE: Diabetic macular edema is one of the leading causes of vision loss across the world. Hard exudates at the macula can lead to structural abnormalities in the retina leading to irreversible vision loss. Systemic dyslipidemia and other modifiable risk factors when identified and treated early may help prevent substantial vision loss. The purpose of this study was to study the association between serum lipid levels and other systemic risk factors like hemoglobin, HbA1c, and serum creatinine with hard exudates and macular edema in patients with diabetic retinopathy. METHODS: It is a prospective cross-sectional study conducted in a tertiary health care center in South India. 96 patients having diabetic retinopathy with hard exudates were included. Modified Airlie house classification was used to grade the hard exudates. Blood investigations including serum lipid profile, hemoglobin, HbA1c, and serum creatinine were carried out. Central subfield macular thickness was measured using optical coherence tomography. RESULTS: 96 patients of type II DM with diabetic retinopathy were divided into three groups of hard exudates. A statistically significant correlation was observed between the severity of hard exudates and total cholesterol (p = 0.00), triglycerides (p = 0.00), LDL (p = 0.00), and VLDL (p = 0.00). HbA1c levels showed a statistically significant correlation with the severity of hard exudates (p = 0.09), no significant correlation was noted between hard exudates and hemoglobin levels (p = 0.27) and with serum creatinine (p = 0.612). A statistically significant association between CSMT and hard exudates (p = 0.00) was noted. CONCLUSION: In our study, we concluded that the severity of hard exudates is significantly associated with increasing levels of serum total cholesterol, triglycerides, LDL, VLDL, and HbA1c levels in type II DM patients presenting with diabetic retinopathy. The increasing duration of diabetes is significantly associated with increasing severity of hard exudates. Central subfield macular thickness increases with increasing severity of hard exudates in diabetic retinopathy.

The Chiraiya project: a retrospective analysis of breast cancer detection gaps addressed via mobile mammography in Jammu Province, India.

BACKGROUND: Breast cancer remains a pervasive threat to women worldwide, with increasing incidence rates necessitating effective screening strategies. Timely detection with mammography has emerged as the primary tool for mass screening. This retrospective study, which is part of the Chiraiya Project, aimed to evaluate breast lesion patients identified during opportunistic mammography screening camps in Jammu Province, India. METHODS: A total of 1505 women aged 40 years and older were screened using a mobile mammographic unit over a five-year period, excluding 2020 and 2021 due to the COVID-19 pandemic. The inclusion criterion was women in the specified age group, while the exclusion criterion was women with open breast wounds, history of breast cancer or a history of breast surgery. The screening process involved comprehensive data collection using a detailed Proforma, followed by mammographic assessments conducted within strategically stationed mobile units. Radiological interpretations utilizing the BI-RADS system were performed, accompanied by meticulous documentation of patient demographics, habits, literacy, medical history, and breastfeeding practices. Participants were recruited through collaborations with NGOs, army camps, village panchayats, and urban cooperatives. Screening camps were scheduled periodically, with each camp accommodating 90 patients or fewer. RESULTS: Among the 1505 patients, most were aged 45-50 years. The number of screenings increased yearly, peaking at 441 in 2022. The BI-RADS II was the most common finding (48.77%), indicating the presence of benign lesions, while the BI-RADS 0 (32.96%) required further evaluation. Higher-risk categories (BI-RADS III, IV, V) were less common, with BI-RADS V being the rarest. Follow-up adherence was highest in the BI-RADS III, IV, and V categories, with BI-RADS V achieving 100% follow-up. However, only 320 of 496 BI-RADS 0 patients were followed up, indicating a gap in continuity of care. The overall follow-up rate was 66.89%. Compared to urban areas, rural areas demonstrated greater screening uptake but lower follow-up rates, highlighting the need for tailored interventions to improve follow-up care access, especially in rural contexts. CONCLUSION: This study underscores the efficacy of a mobile mammographic unit in reaching marginalized populations. Adherence to screening protocols has emerged as a linchpin for early detection, improved prognosis, and holistic public health enhancement. Addressing misconceptions surrounding mammographic screenings, especially in rural settings, is crucial. These findings call for intensified efforts in advocacy and education to promote the benefits of breast cancer screening initiatives. Future interventions should prioritize improving access to follow-up care and addressing screening to enhance breast cancer management in Jammu Province.

Prevalence of human papilloma virus among cervical cancer patients in India: A systematic review and meta-analysis.

BACKGROUND: Cervical cancer, predominantly caused by the human papillomavirus (HPV), is a major health challenge in India, with high morbidity and mortality rates. Given India's vast geographic and socio-economic diversity, understanding regional variations in HPV prevalence is crucial for developing targeted and effective public health interventions. This systematic review and meta-analysis were conducted to elucidate the prevalence of HPV among cervical cancer patients in India. METHODS: A literature search was executed across PubMed, EMBASE, and Web of Science up to December 07, 2023. Observational studies reporting HPV prevalence among cervical cancer patients in India are included. A Modified Newcastle-Ottawa scale was used for quality assessment. A random-effects meta-analysis was used to determine pooled HPV prevalence, and heterogeneity was evaluated using the I² statistic. Subgroup and sensitivity analyses were performed to assess result stability and investigate heterogeneity sources. All statistical analyses were performed using R software version 4.3. RESULTS: The meta-analysis included 17 studies with a total of 2529 cervical cancer cases, of which 1977 were HPV-positive. The pooled HPV prevalence was 85% (95% CI: 71-92%), with substantial heterogeneity (I²â€…= 94%). Subgroup analysis by geographic zones showed notable differences: South (88%, 95% CI: 76-95%), North (73%, 95% CI: 1-100%), East (99%, 95% CI: 1-100%), Central (71%, 95% CI: 54-84%), and West (77%, 95% CI: 0-100%). Sensitivity analysis demonstrated the consistency of the results, and a reanalysis, excluding influential studies, yielded a prevalence of 82% (95% CI: 67-91%). CONCLUSION: Our analysis reveals a high prevalence of HPV in cervical cancer patients in India, with significant regional variations. The observed heterogeneity highlights the complexity of HPV epidemiology in India and necessitates further research to explore underlying causes and regional characteristics. Future studies should aim to expand geographic representation and deepen understanding of the factors contributing to the variability in HPV prevalence.

Epidemiology and clinical spectrum of melioidosis: Analysis of cases from a tertiary care centre in southern Tamil Nadu.

Background We studied the clinical features and treatment outcome of patients with melioidosis in our hospital. Methods We did this retrospective observational chart review over a period of 7 years between December 2014 and February 2022. Results There were 59 cases and 23 deaths attributable to melioidosis over the study period. The age range was 5 to 74 years and 48 (81.3%) were men. The comorbid conditions included diabetes mellitus (68%), alcoholism (11.8%), pulmonary tuberculosis (6.7%) and chronic kidney disease (5%). Over three-fourths of patients (78%) presented during the rainy season (June to December) and were acute presentations (44 [75%]). The most common sites were liver and spleen, followed by the musculoskeletal system, skin, soft tissues, lungs and brain. Of the 21 (36%) patients with septic shock, 16 (76%) died. On the contrary, of 38 (64%) patients without septic shock, only 11% died. Of the 27 (47%) admitted to ICU, 11 (41%) died. In ICU, 18 (67%) were ventilated. Of the 23 (39%) deaths overall, median time from admission to death was 4 days. There were no relapses in the 42% patients followed up for 2-6 months. Conclusions The epidemiology of melioidosis is similar to other endemic areas with preponderance of men. There was a temporal association with the monsoon season and a higher number of acute cases. The differences included a higher proportion of deep visceral abscesses and musculo-skeletal involvement compared to lung involvement.

Prevalence, risk factors and genotype distribution of human papillomavirus infection among women with and without invasive cervical cancer: Findings from a hospital-based study in Bihar, India.

Background Human papillomavirus (HPV) infection is largely responsible for the development of invasive cervical cancer (ICC). Its prevalence, risk factors and genotype distribution among women residing in Bihar (third most populous Indian state) with and without ICC are not well known. Methods In this hospital-based study, we followed up 1439 participants with cytology and HPV report. HPV detection and genotyping were performed using the TaqMan-based real-time PCR method. Clinical and sociodemographic data were collected and analysed using statistical methods. Results The overall prevalence of HPV infection was 37.3% (537/1439) and 11 different types of HPV genotypes were observed. Higher HPV positivity was found in premalignant, intraepithelial and invasive malignant lesions of the cervix; 73.8% (93/126) of atypical squamous cells, cannot exclude high-grade squamous intraepithelial lesion (ASC-H) and high-grade squamous intraepithelial lesions (HSIL) and 93.4% (114/122) of invasive malignancies were infected with HPV in comparison to only 26.1% (245/938) of negative for intraepithelial lesion or malignancy (NILM) cytology. Moreover, HPV was found in 95.2% (236/248) of histologically confirmed cases of carcinoma cervix. HPV16 and HPV18 infections were reported in 78.2% (194/248) and 8.9% (22/248), respectively. The remaining patients had infection with other high-risk strains/co-infection with multiple strains or were HPV-negative. Various socio-demographic factors including women >50 years of age, >10 years of marriage and high parity were significantly associated with HPV infection. Conclusion Our data suggest that HPV16 infection may be the major cause for ICC among women residing in Bihar. Our findings may serve as a baseline for developing an appropriate screening and vaccination strategy for Bihar.

Health impact of screen addiction: A cross-sectional comparative study.

Background Prevalence-based, non-comparative studies have been done to assess psychological and physical consequences of social media and gaming addiction. However, similar studies are lacking for binge-watching, especially in India. We compared the physical and psychological health impact between screen addicted and healthy screen users, by minimizing bias due to confounding factors. Methods We did this cross-sectional comparative study among 120 participants (60 cases and 60 matched controls) consisting of gamers, social media users and binge-watchers, who were recruited from schools and colleges of Mumbai based on their scores on the Digital Addiction Scale (DAS). Levels of depression, anxiety and stress; sleep quality; and dry eye disease were assessed using pre-validated scales such as DASS-21, Pittsburgh Sleep Quality Index (PSQI), and Ocular Surface Disease Index (OSDI), respectively, while the other variables were assessed using a self-designed questionnaire with a content validity ratio (CVR) >0.65. Results The mean (SD) age of the participants was 19.3 (3.2) years, one-third were women; 68% were from medical colleges and 16% each from engineering colleges and high schools. The prevalence and scores of depression, anxiety and stress; poor sleep quality; and dry eye disease; and prevalence of loneliness, aggression and musculoskeletal pain in the wrist, thumb, neck and back were significantly higher in the screen addicted group (p<0.05). Conclusions There was a significant difference in the prevalence and levels of physical and psychological health impact between screen addicted and healthy screen users.

Prevalence of Second Hand Smoke Exposure and Measures to Overcome: A Cross Sectional Study among Youth in Urban Hyderabad.

ABSTRACT: In India, the prevalence of secondhand smoke (SHS) exposure is 29.5% in general and 11.2% at home. The youth may expose themselves to SHS without knowing the risk factors and consequences involved. This study is intended to determine the prevalence of SHS exposure and the measures adopted by the youth to avoid exposure. A cross-sectional study was conducted among 338 youth in an urban area in Hyderabad. A modified Global Youth Tobacco Survey questionnaire was used for data collection on SHS exposure and avoidance. The total prevalence of SHS exposure was 35.21%. The mean days of SHS exposure/week were 1.419 (standard deviation -1.806) days. Belonging to the age group 18-21 years, and male gender were significant predictors of SHS exposure. Education of the head of family was a significant predictor of SHS avoidance behavior. Creating awareness among young adults regarding the deleterious effects and preventive strategies of SHS exposure, thereby making them responsible for the health of their family can be a protective long-term strategy.

Developing and Validating Quantitative Food Frequency Questionnaire to Assess Dietary Vitamin D Intake among Adults in Indian Population.

ABSTRACT: The objective of this study is to create and validate a quantitative food frequency questionnaire (FFQ) for the assessment of Vitamin D intake among adults in Indian population. A quantitative FFQ was developed consisting of Vitamin D dietary-rich sources selected from IFCT, 2017. Further, the FFQ was validated against 24-h dietary recall from randomly selected 385 adults, both men and women above 25 years of age. The mean dietary Vitamin D intake estimated using quantitative FFQ was 402.61 ± 101.21 IU/day and that from 24-h dietary recall was 392.83 ± 120.86 IU/day. The coefficient of correlation between these two methods was 0.86 (P < 0.001) suggestive of high correlation between the two dietary assessment tools. This indicates that Vitamin D intake from FFQ and 24-h recall was similar. This efficient FFQ can assess adult Vitamin D intake in epidemiological studies, offering convenience, and ease of evaluation.

Distribution of Infectious Disease Outbreaks in India before and after the COVID-19 Pandemic: Analysis of National Weekly Surveillance Data.

ABSTRACT: National surveillance data were collected to study the outbreak trends of infectious diseases/syndromes before and during the COVID-19 pandemic period, spanning from 2018 to 2022. The study found that out of 4208 outbreaks, 2972 occurred before the COVID-19 period, affecting 147,425 people, while 1236 outbreaks affected 52,324 people during the pandemic. The number of outbreaks for diseases such as acute flaccid paralysis, fever with rashes, leptospirosis, rabies, and scrub typhus increased during the pandemic. The geographic distribution of outbreaks remained similar for some reemerging diseases in both periods. The trends for dengue, Japanese encephalitis, and cholera remained consistent with peaks mostly from July to September in both periods. We observed a considerable reduction in morbidity and mortality due to outbreaks in India during the pandemic. Despite similar distributional patterns, the study indicates a strong suspicion of persistent outbreak-initiating factors, necessitating an efficient and vigilant surveillance system in the country.

Early screening for foot problems in people with diabetes is the need of the hour: 'Save the Feet and Keep Walking Campaign' in India.

INTRODUCTION: Evidence on the prevalence of foot problems among people with diabetes in India at a national level is lacking. Hence, this study was aimed to assess the burden of high-risk (HR) feet in people with diabetes across India. RESEARCH DESIGN AND METHODS: A cross-sectional national-level project 'Save the Feet and Keep Walking' campaign was conducted by the Research Society for the Study of Diabetes in India (RSSDI) from July 10, 2022 to August 10, 2022. A modified version of 3 min foot examination was used to assess the foot problems. Around 10 000 doctors with RSSDI membership were trained online to conduct foot screening and provided a standardised monofilament for detection of loss of protective sensation. People with diabetes aged >18 years who visited the clinics during the study period were examined for foot problems. Data were collected online using the semi-structured questionnaire. A total of 33 259 participants with complete information were included for the final analysis. The foot at risk was categorised based on International Working Group on the Diabetic Foot guidelines 2023. RESULTS: Nearly 75% of the participants were aged above 45 years. Around 49% had diabetes duration >5 years and uncontrolled diabetes (hemoglobin A1c >8%). Presence of history of foot ulcer (20%), lower limb amputation (15.3%), foot deformities (24.5%) and absence of diminished dorsal pedis and posterior tibial pulses (26.4%) was noted in the study participants. Around 25.2% of them had HR feet and highly prevalent among males. Diabetic kidney and retinal complications were present in 70% and 75.5% of people with HR feet. Presence of heel fissures (OR (95% CI) 4.6 (4.2 to 5.1)) and callus or corns (OR (95% CI) 3.6 (3.3 to 4.0)) were significantly associated with HR feet. CONCLUSIONS: One-fourth of people with diabetes were found to have HR feet in India. The findings are suggestive of regular screening of people with diabetes for foot problems and strengthening of primary healthcare.

Assessing patient satisfaction and healthcare delivery amidst the COVID-19 pandemic: insights from Jammu and Kashmir, India.

INTRODUCTION: Amidst the challenges posed by Covid-19, assessing healthcare quality in India is crucial, particularly through patient satisfaction levels. METHODOLOGY: A cross-sectional survey of 277 participants in Jammu and Kashmir was conducted, utilizing a semi-structured questionnaire and PSQ-18. Data analysis was performed using SPSS (v25) including Chi-Square tests and Descriptive analysis. RESULTS: Out of 277 participants, 70.8% expressed high satisfaction with medical care. Majority (70%) agreed that doctors explained medical tests well. Additionally, 70% strongly agreed that their doctor's office was well-equipped. Dissatisfaction factors were notably low. Significant associations were found between age and alcohol use (p = 0.041), gender and alcohol use (p = 0.007), gender and tobacco use (p = 0.032), and education level and vaccination (p = 0.001). CONCLUSION: The study highlights high patient satisfaction during the pandemic. Improving accessibility and quality of primary healthcare and community centres is essential to meet patient needs effectively.

Development and validation of betel-year: a clinical tool for quantifying exposure to betel quid chewing, utilizing nuclear morphometric analysis and validated by cytomorphological analysis.

BACKGROUND: Betel quid chewing, prevalent in Southeast Asia and South Asia, involves components such as betel leaf, areca nut, slaked lime, and sometimes tobacco. This study aims to assess buccal mucosa changes in betel quid chewers, develop a clinical tool for assessing exposure, and investigate its usability in predicting dysplasia. METHODS: After obtaining ethical approval and informed consent, patients were recruited from the Out-Patient Department of Government Medical College, Omandurar, Government Estate, India. A target sample size of 200 was calculated. The data included the history of betel quid chewing, buccal mucosa cells obtained by oral cytology, and the severity of dysplasia of the slides assessed by pathologists. We utilized principal component analysis (PCA) and confirmatory factor analysis (CFA) to validate a new outcome variable reflecting nuclear morphometric parameters (NMPs). Multiplicative regression models were developed for betel years based on betel exposure and additives. Spearman correlation and Kruskal-Wallis test was used to check the association between betel years and dysplasia. RESULTS: Significant differences in NMPs were observed among different betel chewing groups. We derived multiplicative regression models for betel years. In the logarithmic transformation approach, betel year = 0.05×betel-exposure×0.09×slaked-lime use×0.11×tobacco-use. In the original variable approach, betel year = 5.05×betel-exposure^0.00048×slaked-lime-use^0.18133×tobacco-use^1.47513. Spearman correlation and Kruskal-Wallis tests confirmed associations with dysplasia. CONCLUSION: Betel year is a pioneering tool for assessing lifetime betel quid exposure, similar to pack years for smoking. It could aid in risk stratification, targeted interventions and shaping public health policies. Despite limitations, betel year holds promise for revolutionizing oral health risk assessment, and future research can expand its scope globally, considering diverse betel quid compositions.

Strain variation and anomalous climate synergistically influence cholera pandemics.

BACKGROUND: Explanations for the genesis and propagation of cholera pandemics since 1817 have remained elusive. Evolutionary pathogen change is presumed to have been a dominant factor behind the 7th "El Tor" pandemic, but little is known to support this hypothesis for preceding pandemics. The role of anomalous climate in facilitating strain replacements has never been assessed. The question is of relevance to guide the understanding of infectious disease emergence today and in the context of climate change. METHODOLOGY/PRINCIPAL FINDINGS: We investigate the roles of climate and putative strain variation for the 6th cholera pandemic (1899-1923) using newly assembled historical records for climate variables and cholera deaths in provinces of former British India. We compare this historical pandemic with the 7th (El Tor) one and with the temporary emergence of the O139 strain in Bangladesh and globally. With statistical methods for nonlinear time series analysis, we examine the regional synchrony of outbreaks and associations of the disease with regional temperature and rainfall, and with the El Niño Southern Oscillation (ENSO). To establish future expectations and evaluate climate anomalies accompanying historical strain replacements, climate projections are generated with multi-model climate simulations for different 50-year periods. The 6th cholera pandemic featured the striking synchronisation of cholera outbreaks over Bengal during the El Niño event of 1904-07, following the invasion of the Bombay Presidency with a delay of a few years. Accompanying anomalous weather conditions are similar to those related to ENSO during strain replacements and pandemic expansions into Africa and South America in the late 20th century. Rainfall anomalies of 1904-05 at the beginning of the large cholera anomaly fall in the 99th percentile of simulated changes for the regional climate. CONCLUSIONS/SIGNIFICANCE: Evolutionary pathogen change can act synergistically with climatic conditions in the emergence and propagation of cholera strains. Increased climate variability and extremes under global warming provide windows of opportunity for emerging pathogens.

Birth Patterns in the Aftermath of the 1918 Influenza Pandemic in India: The Case of Madras City.

This paper examines the timing of one-time fluctuations in births subsequent to the 1918 influenza pandemic in Madras (now Chennai), India. After seasonally decomposing key demographic aggregates, we identified abrupt one-time fluctuations in excess births, deaths, and infant deaths. We found a contemporaneous spike in excess deaths and infant deaths and a 40-week lag between the spike in deaths and a subsequent deficit in births. The results suggest that India experienced the same kind of short-term postpandemic "baby bust" that was observed in the United States and other countries. Identifying the mechanisms underlying this widespread phenomenon remains an open question and an important topic for future research.

TVS-guided cervical strain elastography is more effective than measuring cervical length as an independent predictor of spontaneous preterm delivery in asymptomatic, high-risk women during the mid-trimester.

INTRODUCTION: TVS (Transvaginal Sonography) guided Cervical strain elastography (CSE) is now available in tertiary referral centers of LMICs (Low- and Middle-Income Countries). TVS cervical length (CL) assessment is being used routinely. Still, elastography is not used in clinical settings, although enough evidence suggests good predictive value towards sPTD (spontaneous Preterm Delivery). The clinical utility of elastography has not been tested among high-risk populations of LMICs for the prediction of sPTD. AIM: To test the performance of TVS-CSE in predicting sPTD among asymptomatic women in the mid-trimester at risk of sPTD either due to clinical factors or due to a short cervix. METHOD: Prospective observational study performed at a tertiary hospital in South India. Asymptomatic pregnant women between 16 and 24 weeks who had one or more clinical risk factors for sPTD or CL <2.5 cm were included. GE Voluson E-8 ultrasound machine was used. After CL measurement, elastography color coding was noted around the internal-os in the sagittal view. The strain ratio (SR) was calculated using the trace method on three ROIs (Region of Interest): Internal-os in sagittal view (IN), whole cervix in sagittal view (WN), and internal-os in axial view (AN). Reference Tissue (RT) of similar size and depth was chosen in the darkest blue region on elastography (stiffest area) outside the cervix, posterior/lateral to the cervix over the ligament insertion. Lower the SR - softer the cervix. Two trained fetal medicine consultants performed the initial 57 cases until intra/inter-observer correlation was satisfactory. Delivery before 37 weeks (after 26 weeks), in which the process of labor has begun spontaneously, or labor was induced after PPROM-was considered as sPTD. SRs were assessed to determine how well they could predict sPTD independently or combined with cervical length. RESULTS: Out of 221 recruited,17 were lost to follow-up after 32 weeks; 204 were delivered in our hospital. Irrespective of the route of delivery, 71 (34.8%) had sPTD. Of the remaining 133, 106 delivered at term, and 27 underwent medically indicated PTD. Apart from multiple pregnancies, no other preterm-related risk factors (including CL < 2.5 cm) showed significant association with sPTD. Red CSE pattern around internal-os was associated with a significantly higher (54.5%) incidence of sPTD. CLs were similar (3.63 ± 0.67 vs. 3.63 ± 0.80, p = .981) whereas SRs in all three ROIs were significantly lower among sPTD group versus no sPTD group (IN:0.65 ± 0.29 vs 0.79 ± 0.30 p = .001, WN:0.34 ± 0.13 vs 0.39 ± 0.15, p = .013, AN:0.37 ± 0.16 vs 0.48 ± 0.26, p = .002, respectively). Using ROC curves, while CL was not predictive (AUROC 0.49, p = .81), SRs showed moderate predictive value toward sPTD with the best AUC of 0.624 (p = .003) at IN. Prediction was slightly better for early sPTD <32 weeks (AUC 0.653 p = 0.03). The best cutoff for SR at IN was 0.72, below which there was a moderate accuracy in predicting sPTD (sensitivity 52.11%, specificity 60.9%, PPV 41.57%, NPV 70.44%, diagnostic OR 1.69 and overall accuracy of 57.84%). A weak positive correlation is seen between IN and CL (Pearson's correlation R = 0.181). Multi-variable binary logistic regression analysis suggested that SRs at IN (Adjusted OR - 0.259 CI 0.079-0.850), AN (Adjusted OR 0.182 CI 0.034-0.963), Multiple Pregnancy (Adjusted OR 3.5 CI 1.51-8.13) and previous sPTD/PPROM (Adjusted OR 2.72 CI 0.97-7.61) independently predicted sPTD. CONCLUSIONS: TVS CSE performed better than CL as an independent predictive tool toward sPTD, although predictive efficacy was modest at best. Since technology is now available in high-end USG machines in tertiary care centers, we propose optimal utilization of CSE in LMICs to triage at-risk populations since low SRs are strongly associated with sPTD.

Spatial clustering of overweight/obesity among women in India: Insights from the latest National Family Health Survey.

BACKGROUND: Overweight/obesity has become global health concern with increasing prevalence. This study examined district-level disparities and spatial clustering of overweight/obesity among women of reproductive age (WRA) in India using the latest National Family Health Survey-5 (2019-2021) data. METHOD: Information of 623,656 women aged 15 to 49 from the NFHS-5 (2019-2021) were analysed in this study. The outcome variable was BMI as classified by the world health organisation (WHO). Utilising Global Moran's I, Anselin's Local Moran's I, and spatial regression models spatial clustering and associated factors were analysed. RESULT: The study found that 24% (95% CI: 23.8-24.3) of WRA in India were overweight/obese in 2019-21. The prevalence was greatest in Punjab (41%) and lowest in Meghalaya (11%). Additionally, the Global Moran's I value for the outcome variable was 0.73, indicating a positive spatial autocorrelation in the overweight/obesity. Districts of Tamil Nadu, Andhra Pradesh, Karnataka, Kerala, Telangana, Punjab, Himachal Pradesh, Jammu & Kashmir, Haryana, and Delhi were hotspots of overweight/obesity. Several factors of overweight/obesity among WRA were identified, including place of residence (ß: 0.034, p: 0.011), parity (ß: 0.322, p: 0.002), social group (ß: -0.031, p: 0.016), religion (ß: -0.044, p: <0.001), household wealth status (ß: 0.184, p: <0.001), mass-media exposure (ß: 0.056, p: 0.031), and diabetes (ß: 0.680, p: <0.001). CONCLUSION: The study emphasizes the importance of targeted interventions and region-specific strategies, while also stressing the need to address associated factors to develop effective public health initiatives aimed at reducing overweight/obesity prevalence among WRA in India.

Mapping serogroup distribution and seroprevalence of leptospirosis in livestock of Assam, Northeastern State of India: Unveiling uncommon Leptospira serogroups.

Leptospirosis is a significant zoonotic disease affecting livestock, leading to reproductive issues and economic losses. Despite its endemic status in India, research has predominantly focused on coastal regions, leaving the North Eastern Region (NER) underexplored. This study aims to investigate the seroprevalence and serogroup distribution of leptospirosis in livestock across Assam, a major state in the North Eastern Region (NER) of India. Serum samples (n=811) from cattle, buffalo, sheep, goats, and pigs were collected between 2016 and 2019 and screened using the Microscopic Agglutination Test (MAT) for 24 serogroups. The overall seroprevalence was 22.9 % (186/811), with highest prevalence in cattle (26.2 %) and buffalo (25 %), followed by small ruminants (19.8 %) and pigs (18.6 %) . Notably, uncommon serovars such as Mini (28.8 %), Manhao (12.4 %), and Cynopteri (7.5 %) were identified, indicating a unique epidemiological pattern in Assam. High seroprevalence was observed in districts like Bongaigaon (66.7 %), Kamrup Metropolitan (50.0 %), and Nalbari (40.0 %), emphasizing the need for targeted intervention strategies. The presence of these uncommon serogroups, typically found in neighbouring countries and other regions, suggests potential transboundary transmission from these countries. This study provides valuable insights into the seroprevalence and serogroup distribution of leptospirosis in Assam's livestock, highlighting the need for region-specific surveillance and control measures. These findings underscore the importance of understanding the local epidemiological landscape to develop effective disease management and prevention strategies, ultimately reducing the impact of leptospirosis in the NER of India.

Detection of Wuchereria bancrofti infection in mosquitoes in areas co-endemic with Brugia malayi in Balasore district, Odisha, India.

Lymphatic filariasis (LF) is a crippling and disfiguring parasitic condition. India accounts for 55% of the world's LF burden. The filarial parasite Wuchereria bancrofti is known to cause 99.4% of the cases while, Brugia malayi accounts for 0.6% of the issue occurring mainly in some pockets of Odisha and Kerala states. The Balasore (Baleswar) district of Odisha has been a known focus of B. malayi transmission. We employed molecular xenomonitoring to detect filarial parasite DNA in vectors. In six selected villages, Gravid traps were used to collect Culex mosquitoes and hand catch method using aspirators was followed for collection of mansonioides. A total of 2903 mosquitoes comprising of Cx. quinquefasciatus (n = 2611; 89.94%), Cx. tritaeniorhynchus (n = 100; 3.44%), Mansonia annuliferea (n = 139; 4.78%) and Mansonia uniformis (n = 53; 1.82%) were collected from six endemic villages. The species wise mosquitoes were made into 118 pools, each with a maximum of 25 mosquitoes, dried and transported to the laboratory at VCRC, Puducherry. The mosquito pools were subjected to parasite DNA extraction, followed by Real-time PCR using LDR and HhaI probes to detect W. bancrofti and B. malayi infections, respectively. Seven pools (6.66%) of Cx. quinquefasciatus, showed infection with only W. bancrofti while none of the pools of other mosquito species showed infection with either W. bancrofti or B. malayi. Although the study area is endemic to B. malayi, none of the vectors of B. malayi was found with parasite infection. This study highlights the ongoing transmission of bancroftian filariasis in the study villages of Balasore district of Odisha and its implications for evaluating LF elimination programme.

Socio-ecological predictors of dengue in high incidence area of Delhi, India.

Despite the amplified vector-control measures, sporadic-epidemic outbreaks of dengue incidence occurred in Delhi, intermittently. This study aimed to identify the major individual, household, and community level predictors of dengue cases in the hot-spots of Delhi. Primary survey data was collected from the selected sample of 347 households, at the South- West district of Delhi. This survey has interviewed the head of the household to collect the information of dengue incidences within last one year and household information related to socio-economic, demographic, environmental factors, such as housing pattern, density, water storage containers, drainage and garbage collection site and method, mosquito protection measures and awareness. Among 347 households, 54 households had reported dengue cases, and 69 individuals had reported dengue cases in last one year. Garbage and water collection site and methods, drainage and household type, household monthly income, indoor bamboo plants, construction site (within 500 m), presence of tertiary care hospital, were the significant predictors of dengue incidences in Delhi. In conclusion, strategic control measures and intense social interventions such as household and community awareness, promotion of healthy practices should be promoted to control the dengue incidences.