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PURPOSE: Female breast cancer (BC) is the leading cause of cancer incidence and mortality in India, and accounted for 13.5% of new cancer cases and 10% of cancer-related deaths in 2020. This study aims to estimate and report the female BC burden in India at state level from 2012 to 2016 in terms of years of life lost, years lived with disability, and disability-adjusted life years (DALYs), and to project the burden for the year 2025. METHODS: The cancer incidence and mortality data from 28 population-based cancer registries were analysed. The mean mortality to incidence ratio was estimated, and mortality figures were adjusted for underreporting. The burden of female BC was estimated at national and subnational levels using Census data, World Health Organisation's lifetables, disability weights, and the DisMod-II tool. A negative binomial regression is employed to project burden for 2025. RESULTS: The burden of BC among Indian women in 2016 was estimated to be 515.4 DALYs per 100,000 women after age standardization. The burden metrics at state level exhibited substantial heterogeneity. Notably, Tamil Nadu, Telangana, Karnataka, and Delhi had a higher burden of BC than states in the eastern and north-eastern regions. The projection for 2025 indicates to a substantial increase, reaching 5.6 million DALYs. CONCLUSION: The female BC burden in India was significantly high in 2016 and is expected to substantially increase. Undertaking a multidisciplinary, context-specific approach for its prevention and control can address this rising burden.
Subject(s)
Breast Neoplasms , Cost of Illness , Registries , Humans , Female , India/epidemiology , Breast Neoplasms/epidemiology , Breast Neoplasms/mortality , Middle Aged , Incidence , Adult , Aged , Disability-Adjusted Life Years , Quality-Adjusted Life Years , Young Adult , Aged, 80 and overABSTRACT
BACKGROUND: Cervical cancer is ranked as the second most common cancer in India. This study aims to assess the cervical cancer burden at the national and subnational level in India, projecting it for the year 2025 in terms of years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life years (DALYs). METHODS: Twenty-eight population based cancer registries within the National Cancer Registry Programme network contributed cancer incidence and mortality data for this analysis. The DisMod-II tool, WHO lifetables, disability weights, mortality to incidence ratio, sample registration system, and census data were used to estimate the burden of cervical cancer. The projection estimates for 2025 were performed using a negative binomial regression model. RESULTS: In 2016, the cervical cancer burden in India was 223.8 DALYs per 100,000 women. The highest age-standardised DALYs were found in the northeast region (290.1 DALYs per 100,000 women) and the lowest in the eastern region (156.1 DALYs per 100,000 women). The states of Mizoram, Arunachal Pradesh, Karnataka, and Nagaland had a higher cervical cancer burden with DALYs exceeding 300 per 100,000 women. The projected cervical cancer burden for India in 2025 was estimated to be 1.5 million DALYs. CONCLUSIONS: The study has found a significant cervical cancer burden across the regions of India, providing a baseline for monitoring impact of actions. Enhancing awareness of cervical cancer, advocating for the significance of screening, and promoting HPV vaccination among adolescents, families, and communities through informative communication campaigns are essential steps in managing and ultimately eliminating cervical cancer in India.
Subject(s)
Cost of Illness , Disability-Adjusted Life Years , Quality-Adjusted Life Years , Uterine Cervical Neoplasms , Uterine Cervical Neoplasms/epidemiology , Uterine Cervical Neoplasms/mortality , India/epidemiology , Registries , Incidence , Humans , FemaleABSTRACT
BACKGROUND: Cancer is the major cause of morbidity and mortality worldwide. The cancer burden varies within the regions of India posing great challenges in its prevention and control. The national burden assessment remains as a task which relies on statistical models in many developing countries, including India, due to cancer not being a notifiable disease. This study quantifies the cancer burden in India for 2016, adjusted mortality to incidence (AMI) ratio and projections for 2021 and 2025 from the National Cancer Registry Program (NCRP) and other publicly available data sources. METHODS: Primary data on cancer incidence and mortality between 2012 and 2016 from 28 Population Based Cancer Registries (PBCRs), all-cause mortality from Sample Registration Systems (SRS) 2012-16, lifetables and disability weight from World Health Organization (WHO), the population from Census of India and cancer prevalence using the WHO-DisMod-II tool were used for this study. The AMI ratio was estimated using the Markov Chain Monte Carlo method from longitudinal NCRP-PBCR data (2001-16). The burden was quantified at national and sub-national levels as crude incidence, mortality, Years of Life Lost (YLLs), Years Lived with Disability (YLDs) and Disability Adjusted Life Years (DALYs). The projections for the years 2021 and 2025 were done by the negative binomial regression model using STATA. RESULTS: The projected cancer burden in India for 2021 was 26.7 million DALYsAMI and expected to increase to 29.8 million in 2025. The highest burden was in the north (2408 DALYsAMI per 100,000) and northeastern (2177 DALYsAMI per 100,000) regions of the country and higher among males. More than 40% of the total cancer burden was contributed by the seven leading cancer sites - lung (10.6%), breast (10.5%), oesophagus (5.8%), mouth (5.7%), stomach (5.2%), liver (4.6%), and cervix uteri (4.3%). CONCLUSIONS: This study demonstrates the use of reliable data sources and DisMod-II tools that adhere to the international standard for assessment of national and sub-national cancer burden. A wide heterogeneity in leading cancer sites was observed within India by age and sex. The results also highlight the need to focus on non-leading sites of cancer by age and sex. These findings can guide policymakers to plan focused approaches towards monitoring efforts on cancer prevention and control. The study simplifies the methodology used for arriving at the burden estimates and thus, encourages researchers across the world to take up similar assessments with the available data.
Subject(s)
Global Health , Neoplasms , Female , Humans , Incidence , India/epidemiology , Male , Neoplasms/epidemiology , Quality-Adjusted Life Years , RegistriesABSTRACT
PURPOSE: To examine (1) the retinal structure by optical coherence tomography (OCT) and function by means of multifocal electroretinography (mfERG) in eyes with and without nonproliferative diabetic retinopathy (NPDR) (2) for correspondence between local retinal function and OCT zones with retinal lesions. METHODS: One hundred and thirty-two eligible participants (30 with nonproliferative DR (NPDR) and 102 with diabetes with no DR) underwent comprehensive ophthalmic examination, optical coherence tomography for retinal thickness measures, mfERG, and ultra-wide field fundus photography. OCT Early Treatment Diabetic Retinopathy Study (ETDRS) grid was overlaid on to mfERG plots. RESULTS: Those with NPDR had significantly thicker full retinal measures in the nine (ETDRS) zones compared to no DR. mfERG P1 latencies in rings 1-6 were significantly delayed, while the response densities in rings 4-6 were lower in the NPDR group. Significant negative correlation was noted between OCT thickness and mfERG P1 response densities in many ETDRS zones. Significant positive correlation was noted between P1 latencies and OCT thickness in a few zones. The combination of cystic spaces, microaneurysms, and hard exudates were present in all zones and were associated with a decrease in P1 response densities compared to no lesions. Reduced P1 response densities were associated with a sporadic delay in the mfERG latencies and vice versa. The number of lesions did not show correspondence to the mfERG measures. CONCLUSIONS: In eyes with NPDR, retinal function is differentially correlated with the DR lesions on OCT and can be assessed using multimodal imaging modalities.
Subject(s)
Diabetes Mellitus , Diabetic Retinopathy , Retinal Degeneration , Diabetic Retinopathy/complications , Electroretinography/methods , Humans , Retina/pathology , Tomography, Optical Coherence/methodsABSTRACT
BACKGROUND: This study describes regional differences and determinants on key noncommunicable disease (NCD) risk factors in adults from the National NCD Monitoring Survey (NNMS) across six geographic regions of India. METHODS: The NNMS was a cross-sectional multistage cluster survey conducted in 2017-18, on a representative sample of 300 urban and 300 rural primary sampling units (PSU) covering 20 households per PSU. One adult aged 18-69 years per household was selected using the KISH grid. Globally standard survey tools were adapted for data collection. To arrive at regional estimates, the country was divided into six regions (south, north, central, west, east and northeast) based on the distribution of a national sample. The results are presented as proportion with 95% confidence intervals (CI). Univariable and multivariable logistic regression analyses were performed to identify NCD risk factor determinants significant in the regions. A p-value < 0.05 was considered for statistical significance. RESULTS: The overall survey response rate was 96.3%. The prevalence of current tobacco (45.7%) and alcohol use (22.3%) was significantly high in the northeast region. The highest proportion of adults from northern India showed low levels of physical activity (49.6%). The prevalence of metabolic risk factors - obesity (12.5%), raised fasting blood glucose (21.2%) and raised blood pressure (35.6%) was highest in south India. The prevalence of raised blood pressure was high in north India (35.2%) similar in proportion to south India. Clustering of ≥3 risk factors (50.1%) and ten-year CVD risk of ≥30% or with existing CVD (18.1%) was highest in south India when compared to other regions. Older age, urban residents, alcohol consumption and overweight/obesity were significantly associated with higher odds of raised blood pressure and raised fasting blood glucose. CONCLUSION: The NNMS presents variations in NCD risk factors within the regions of India. It contributes to robust evidence for strengthening interventions and monitoring the progress in reducing NCDs and their associated risk factors.
Subject(s)
Cardiovascular Diseases , Noncommunicable Diseases , Adult , Blood Glucose , Cardiovascular Diseases/epidemiology , Cross-Sectional Studies , Humans , India/epidemiology , Noncommunicable Diseases/epidemiology , Obesity/epidemiology , Risk FactorsABSTRACT
BACKGROUND: The monitoring framework for evaluating health system response to noncommunicable diseases (NCDs) include indicators to assess availability of affordable basic technologies and essential medicines to treat them in both public and private primary care facilities. The Government of India launched the National Program for Prevention and Control of Cancer, Diabetes, Cardiovascular diseases and Stroke (NPCDCS) in 2010 to strengthen health systems. We assessed availability of trained human resources, essential medicines and technologies for diabetes, cardiovascular and chronic respiratory diseases as one of the components of the National Noncommunicable Disease Monitoring Survey (NNMS - 2017-18). METHODS: NNMS was a cross-sectional survey. Health facility survey component covered three public [Primary health centre (PHC), Community health centre (CHC) and District hospital (DH)] and one private primary in each of the 600 primary sampling units (PSUs) selected by stratified multistage random sampling to be nationally representative. Survey teams interviewed medical officers, laboratory technicians, and pharmacists using an adapted World Health Organization (WHO) - Service Availability and Readiness Assessment (SARA) tool on handhelds with Open Data Kit (ODK) technology. List of essential medicines and technology was according to WHO - Package of Essential Medicines and Technologies for NCDs (PEN) and NPCDCS guidelines for primary and secondary facilities, respectively. Availability was defined as reported to be generally available within facility premises. RESULTS: Total of 537 public and 512 private primary facilities, 386 CHCs and 334 DHs across India were covered. NPCDCS was being implemented in 72.8% of CHCs and 86.8% of DHs. All essential technologies and medicines available to manage three NCDs in primary care varied between 1.1% (95% CI; 0.3-3.3) in rural public to 9.0% (95% CI; 6.2-13.0) in urban private facilities. In NPCDCS implementing districts, 0.4% of CHCs and 14.5% of the DHs were fully equipped. DHs were well staffed, CHCs had deficits in physiotherapist and specialist positions, whereas PHCs reported shortage of nurse-midwives and health assistants. Training under NPCDCS was uniformly poor across all facilities. CONCLUSION: Both private and public primary care facilities and public secondary facilities are currently not adequately prepared to comprehensively address the burden of NCDs in India.
Subject(s)
Noncommunicable Diseases , Cross-Sectional Studies , Health Facilities , Health Services Accessibility , Humans , India/epidemiology , Noncommunicable Diseases/epidemiology , Noncommunicable Diseases/prevention & controlABSTRACT
The burden of stroke is increasing, and India lacks comparable long-term data on stroke incidence and mortality. Disease surveillance using a registry model can provide long-term data on stroke for linking with public health interventions in stroke prevention, treatment, and rehabilitation. The objectives of the National Stroke Registry Programme (NSRP), India, are to generate reliable data on the incidence of first-ever stroke events in defined populations through a population-based stroke registry (PBSR) and to describe the patterns of care and outcomes of patients with stroke in different treatment settings through a hospital-based stroke registry (HBSR). Continuous systematic collection on a standardized format of diagnostic, treatment, and outcome information on stroke events in persons of defined population (PBSR) and those who attend hospitals (HBSR) is conducted through active data abstraction from review of records from all health facilities and imaging centres that cater to stroke patients. Data are ICD coded, verified, and completed by obtaining survival status of registered patients. IT tools are used for data collection,management and analysis. The NSRP shall establish a standardized stroke surveillance system that would reliably measure stroke incidence, subtypes, treatment patterns, complications, disability, case fatality, and survival. This evidence shall inform health planning of stroke interventions and control activities. It would facilitate improvement in stroke services to improve quality of care and outcomes of stroke. A thrust for research on stroke would be encouraged based on evidence-based hypothesis generation.
Subject(s)
Population Surveillance/methods , Registries/statistics & numerical data , Stroke/epidemiology , Humans , Incidence , India/epidemiologyABSTRACT
OBJECTIVE: The study assessed the four-year incidence of diabetic peripheral neuropathy (DPN) and the risk factors that can predict incident neuropathy in a south Indian population with type 2 diabetes. RESEARCH DESIGN AND METHODS: 1175 diabetic individuals were identified with known diabetes at baseline. At baseline, individuals underwent assessment of fasting plasma glucose and HbA1c levels, body mass index, waist-hip ratio, blood pressure, blood cholesterol and lipid levels, and ophthalmic evaluation including visual acuity, specular microscopy of the corneal endothelium, cataract grading and diabetic retinopathy assessment. Subjects were re-examined after four years for the assessment of incident neuropathy; 713 individuals were found eligible at follow-up. The presence of neuropathy was assessed at baseline and at follow-up and was defined as a Vibration Perception Threshold of ≥ 20 Volts. RESULTS: : The four-year incidence of any neuropathy was 28.4%. Factors predictive of incident diabetic neuropathy were greater age at baseline (OR =1.068), higher body mass index (OR =1.034), presence of diabetic retinopathy (OR =4.879) and lower socioeconomic status (OR =4.841), when adjusted for several potential confounding factors. CONCLUSION: The four-year incidence of diabetic neuropathy in a south Indian population with type 2 diabetes is 28% and can be predicted by ophthalmic and clinical variables. These factors may be utilized in the assessment, monitoring and intervention in individuals with diabetes in an effort to prevent or delay the development of diabetic peripheral neuropathy.
Subject(s)
Diabetes Mellitus, Type 2/epidemiology , Diabetic Neuropathies/epidemiology , Diabetic Retinopathy/epidemiology , Humans , Incidence , Risk FactorsABSTRACT
IMPORTANCE: The importance of lipids on incidence and progression of diabetic retinopathy has not been studied in the Indian population. BACKGROUND: To elucidate the influence of serum lipid control on the incidence and progression of diabetic retinopathy and diabetic macular oedema in subjects with type 2 diabetes. DESIGN: Population-based longitudinal observational study in a hospital setting. PARTICIPANTS: Eight hundred ninety subjects were examined at baseline and follow-up. METHODS: Diabetic retinopathy was graded per Modified Early Treatment Diabetic Retinopathy Study scales; 45°, 4-field dilated stereoscopic digital photography was performed with an additional 30°, 7-field for those who had retinopathy. Macular oedema was evaluated per Proposed International Clinical Diabetic Retinopathy and Diabetic Macular Oedema Disease Severity Scales. MAIN OUTCOME MEASURES: Association of serum lipids and incidence and progression of diabetic retinopathy. RESULTS: Poor control of total cholesterol was associated with the incidence of sight-threatening retinopathy (odds ratio = 7.2 [95% confidence interval: 1.5-34.3], P = 0.012) and macular oedema (odds ratio = 5.5 [95% confidence interval: 1.4-27.4], P = 0.037) after adjusting for potential confounders. Poor control of triglycerides was associated with progression to proliferative diabetic retinopathy (odds ratio = 3.2 [95% confidence interval: 1.1-10.5], P = 0.048). Risk for incident macular oedema (P = 0.041) and progression to proliferative diabetic retinopathy (P = 0.028) was greater when all lipid types were abnormal. CONCLUSIONS AND RELEVANCE: Poor control of lipids is a risk factor for incidence of and progression to late stages of retinopathy. Abnormal levels of all lipid types are associated with risk of incident macular oedema and progression to proliferative diabetic retinopathy.
Subject(s)
Diabetes Mellitus, Type 2/blood , Diabetic Retinopathy/epidemiology , Lipids/blood , Macular Edema/epidemiology , Molecular Biology/methods , Adult , Aged , Biomarkers/blood , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/epidemiology , Diabetic Retinopathy/blood , Diabetic Retinopathy/diagnosis , Disease Progression , Female , Follow-Up Studies , Humans , Incidence , India/epidemiology , Macular Edema/blood , Macular Edema/diagnosis , Male , Middle Aged , Odds Ratio , Retrospective Studies , Risk Factors , Time FactorsABSTRACT
AIM: To explore the association of use versus no use and the influence of pack-year use of smokeless tobacco with that of early and late age-related macular degeneration (AMD) in rural and urban south Indian population. We hypothesized that the use and pack-years of use would be significantly associated with both early and late AMD. We therefore sought to examine subjects who gave a history of using smokeless tobacco and we quantified the usage as pack-years, to examine the association with that of early and late AMD. MATERIALS AND METHODS: This was part of Sankara Nethralaya: Rural-Urban Age-related Macular degeneration study (SN-RAM study), which was conducted between 2007 and 2010. Subjects aged 60 years or older or those turning 60 in the present calendar year, with a history of using smokeless tobacco were noted along with duration and number of packs used per day. Smokeless tobacco was defined as chewed-tobacco (loose leaves) and/or snuff (finely chopped tobacco). Subjects underwent detailed ophthalmic evaluation including cataract grading using the Lens Opacities Classification System (LOCS III), 45° 4-field stereoscopic fundus photography and AMD evaluation. Pack-years of smokeless tobacco use was stratified as <15, 15-34 and ≥35 years; the association of tobacco use and pack-years of use with that of early and late AMD was examined. A p value of < 0.05 was considered statistically significant. RESULTS: The number of smokeless tobacco users was significantly higher in rural (n = 767) than in urban groups (n = 281), p < 0.001. Of the 1048 users, 238 subjects (23%) provided details regarding quantification of use. There were no significant differences in the pack-years between rural and urban areas, p = 0.756 or that between AMD and no AMD, p = 0.562. Use of smokeless tobacco compared with no use was significantly associated with late AMD, OR= 3.178, 95%CI: 1.095, 9.227, p = 0.033, when adjusted for age, gender, rural-urban differences, presence of diabetes, socioeconomic status, systolic and diastolic blood pressure, total cholesterol, low-density and high-density lipoprotein levels. The association was not significant for early AMD, p = 0.582. The pack-years of use did not show a statistically significant association with early or late AMD. Furthermore, out of the 1048 subjects, 547 reported as using areca nut. Of which, 415 (75.8%) subjects had no AMD, 119 (21.7%) showed evidence of early AMD and 13 (2.4%) had late AMD. There was no significant association between the use of areca nut and early AMD, (X2 (1, N = 930) = 2.345, p = 0.126) or with that of late AMD (X2 (1, N = 761) = 0.075, p = 0.785). CONCLUSIONS: Smokeless tobacco use compared with no use, is associated with late AMD, regardless of the pack-years of use. Tobacco use is a modifiable risk factor. Efforts to reduce or stop the use of smokeless tobacco is indicated in an effort to prevent vision loss with respect to late AMD.
Subject(s)
Macular Degeneration/epidemiology , Tobacco, Smokeless/statistics & numerical data , Aged , Female , Humans , India/epidemiology , Male , Middle Aged , Prevalence , White PeopleABSTRACT
BACKGROUND: Diabetic macular edema (DME) with neurosensory retinal detachment (NSD) remains an important cause of visual loss in patients with diabetes. The aim of the study was to elucidate the association of systemic and ocular risk factors with NSD in DME. METHODS: In a retrospective case-control study, we reviewed clinical records of all the subjects with DME seen between January 2010 and December 2010. Cases and controls were selected based on optical coherence tomography and stereoscopic biomicroscopy review. NSD was defined as subfoveal fluid accumulation under detached retina with or without overlying foveal thickening. The association between the presence of NSD, blood pressure, lipid status and various other biochemical parameters was evaluated. RESULTS: Group I (cases) included 37 eyes of 33 patients having DME with NSD and Group II (controls) included 30 eyes of 21 patients having DME without NSD. Patients ranged in age (mean ± SD) from 50 to 62 years (56.6 +/-6.78) for cases and from 51 to 65 years (58.4+/-7.84) for controls. The duration of diabetes ranged from 4 to 15 year (mean 9.45+/-6.08) among cases and 4 to 14 years (9.7+/-5.12) among controls. Significant risk factors for NSD were high values of systolic and diastolic blood pressure (p = 0.039 and 0.043 respectively). CONCLUSION: High systolic and diastolic blood pressures are independent and significant risk factors for NSD in DME.
Subject(s)
Diabetic Retinopathy/complications , Macular Edema/complications , Retinal Detachment/etiology , Aged , Case-Control Studies , Diastole/physiology , Female , Humans , Hypertension/complications , Hypertension/physiopathology , Male , Middle Aged , Multivariate Analysis , Retinal Detachment/physiopathology , Retrospective Studies , Risk Factors , Systole/physiology , Visual Acuity/physiologyABSTRACT
Introduction: The utilization of social media presents a promising avenue for the prevention and management of diabetes. To effectively cater to the diabetes-related knowledge, support, and intervention needs of the community, it is imperative to attain a deeper understanding of the extent and content of discussions pertaining to this health issue. This study aims to assess and compare various topic modeling techniques to determine the most effective model for identifying the core themes in diabetes-related tweets, the sources responsible for disseminating this information, the reach of these themes, and the influential individuals within the Twitter community in India. Methods: Twitter messages from India, dated between 7 November 2022 and 28 February 2023, were collected using the Twitter API. The unsupervised machine learning topic models, namely, Latent Dirichlet Allocation (LDA), non-negative matrix factorization (NMF), BERTopic, and Top2Vec, were compared, and the best-performing model was used to identify common diabetes-related topics. Influential users were identified through social network analysis. Results: The NMF model outperformed the LDA model, whereas BERTopic performed better than Top2Vec. Diabetes-related conversations revolved around eight topics, namely, promotion, management, drug and personal story, consequences, risk factors and research, raising awareness and providing support, diet, and opinion and lifestyle changes. The influential nodes identified were mainly health professionals and healthcare organizations. Discussion: The study identified important topics of discussion along with health professionals and healthcare organizations involved in sharing diabetes-related information with the public. Collaborations among influential healthcare organizations, health professionals, and the government can foster awareness and prevent noncommunicable diseases.
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The study aimed to understand stroke-related Twitter conversations in India, focusing on topics, message sources, reach, and influential users to provide insights to stakeholders regarding community needs for knowledge, support, and interventions. Geo-tagged Twitter posts focusing on stroke originating from India and, spanning from November 7, 2022, to February 28, 2023, were systematically obtained via the Twitter application programming interface, using keywords and hashtags sourced through Symplur Signals. Preprocessing involved the removal of hashtags, stop words, and URLs. The Latent Dirichlet Allocation (LDA) topic model was used to identify recurring stroke-related topics, while influential users were identified through social network analysis. About half of the tweets about stroke in India were about seeking support and post-stroke bereavement sharing and had the highest reachability. Four out of 10 tweets were from the individual twitter users. Tweets on the topic risk factors, awareness and prevention (14.6%) constituted the least proportion, whereas the topic management, research, and promotion had the least retweet ratio. Twitter demonstrates significant potential as a platform for both disseminating and acquiring stroke-related information within the Indian context. The identified topics and understanding of the content of discussion offer valuable resources to public health professionals and organizations to develop targeted educational and engagement strategies for the relevant audience.
Subject(s)
Social Media , Stroke , Humans , India/epidemiology , Social Network Analysis , Information Dissemination/methodsABSTRACT
Objective: The objective of the study was to determine the prevalence and determinants of ever-measured blood pressure, prehypertension, and raised blood pressure at national, state and district levels in India. Methods: We analysed data from the National Family Health Survey (NFHS-5), on 743,067 adults aged 18-54 years. The sample consisted of 87.6% females and 12.4% males. We estimated prevalence rates and determined adjusted odds ratios for various dependent variables related to blood pressure. Geographical variations were visualized on the map of India, and multivariate logistic regression was employed at state and district levels, with significance set at p < 0.05. Results: The prevalence of ever-measured blood pressure varied widely, from 30.3% to 98.5% across districts, with southern and northern regions showing higher rates. Prehypertension affected 33.7% of the population, with varying prevalence across districts. Raised blood pressure was there in 15.9%, with notably higher rates in southern region (16.8%). Determinants included age, gender, education, wealth, lifestyle, obesity, and blood glucose levels. Conclusion: These findings demonstrate the subnational variations in blood pressure, can guide evidence-based interventions at the state and district level, towards reducing the burden of raised blood pressure and enhancing overall population health.
Subject(s)
Hypertension , Prehypertension , Adult , Male , Female , Humans , Prehypertension/epidemiology , Blood Pressure , Risk Factors , Obesity , Health Surveys , India/epidemiology , Prevalence , Hypertension/epidemiologyABSTRACT
BACKGROUND: Noncommunicable diseases (NCDs) are the leading cause of adult mortality in India. However, the data regarding the prevalence of NCD risk factors at district level is scarce. This study aims to analyse and map NCD risk factors at the state and district levels, exploring sociodemographic influences on these risks in Indian males and females. METHODS: We analyzed National Family Health Survey-5 database and used the prevalence estimates to create choropleth maps, enabling us to examine the geographical variations in NCD risk factors at the district level in India. RESULTS: Districts in the Satluj-Yamuna plains, western Rajasthan, and the northeastern regions exhibited clusters with a prevalence of high blood pressure exceeding 30.1 %. Northeastern districts showed over 40 % prevalence of current tobacco use, while high alcohol consumption clusters were observed in the northeastern and Telangana districts. Southern districts showed clusters of both obesity (as measured by BMI) and highest rates of oral, breast, and cervical cancer screening, moreover districts in Tamil Nadu exhibited notable clusters of raised blood glucose prevalence. CONCLUSION: Our analysis revealed variations in the prevalence of NCD risk factors at both the state and district levels. Accordingly, this study ranks districts based on the NCD burden, offering valuable insights to state and district teams to devise targeted measures for the prevention and control of NCDs, particularly in the most heavily affected districts.
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PURPOSE: To estimate the strength of the association between tobacco use and cancer incidence among the Indian population. MATERIALS AND METHODS: Data from PubMed, Embase, and Virtual Health Library were searched from inception of databases till April 30, 2022. There were no restrictions except for English language and human study. Case-control and cohort studies on cancer incidence in relation to tobacco use were selected. Data were extracted independently by two investigators, and discrepancies were resolved by a third reviewer. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed. The quality assessment was done using the Newcastle Ottawa Scale. RESULTS: The majority were case-control designs (60, 89.6%), covering diverse geographic regions, with Maharashtra (18, 30%) and Kerala (12, 20%) being the most studied. Pooled effect sizes were calculated using the random-effects model, and forest plots were generated. The risk of any cancer associated with smoked and smokeless tobacco was 2.71 (95% CI, 2.25 to 3.16) and 2.68 (95% CI, 2.22 to 3.14), respectively, indicating similar risks. Gender-wise, smoked tobacco had an association of 2.35 (95% CI, 2.05 to 2.65) for males, whereas for smokeless tobacco, it was 1.77 (95% CI, 1.47 to 2.07) for males and 2.34 (95% CI, 1.26 to 3.42) for females. Regardless of gender, tobacco type, and affected body parts, the risk of cancer due to tobacco use was consistent in the Indian population. Site-specific analysis showed higher risks of respiratory system cancers of 4.97 (95% CI, 3.62 to 6.32) and head and neck cancers of 3.95 (95% CI, 3.48 to 4.42). CONCLUSION: This study underscores that both smoked and smokeless tobacco are equally harmful to human health among the Indian population, providing insights for stakeholders and policymakers to arrive at tobacco-specific interventions.
Subject(s)
Neoplasms , Tobacco Use , Humans , India/epidemiology , Neoplasms/epidemiology , Neoplasms/etiology , Incidence , Tobacco Use/epidemiology , Tobacco Use/adverse effects , Male , Tobacco, Smokeless/adverse effects , Tobacco, Smokeless/statistics & numerical data , Female , Risk FactorsABSTRACT
Background: Increasing stroke burden in India demands a long-term stroke surveillance framework. Earlier studies in India were urban-based, short term and provided limited data on stroke incidence and its outcomes. This gap is addressed by the establishment of five population-based stroke registries (PBSRs) of the National Stroke Registry Programme, India. This paper describes stroke incidence, mortality and age, sex, and subtypes distribution in the five PBSRs with urban and rural populations. Methods: First-ever incident stroke patients in age group ≥18 years, resident for at least one year in the defined geographic area, identified from health facilities were registered. Death records with stroke as the cause of death from the Civil Registration System (CRS) were included. Transient ischemic attack (TIA) was excluded. Three PBSRs (Cuttack, Tirunelveli, Cachar) included urban and rural populations. PBSRs in Kota and Varanasi were urban areas. The crude and age-standardized incidence rate (ASR) by age, sex, and residence (urban and rural), rate ratios of ASR, case fatality proportions and rates at day 28 after onset of stroke were calculated for years 2018-2019. Findings: A total of 13,820 registered first-ever stroke cases that included 985 death certificate-only cases (DCOs) were analysed. The pooled crude incidence rate was 138.1 per 100,000 population with an age-standardized incidence rate (ASR) of 103.4 (both sexes), 125.7 (males) and 80.8 (females). The risk of stroke among rural residents was one in seven (Cuttack), one in nine (Tirunelveli), and one in 15 (Cachar). Ischemic stroke was the most common type in all PBSRs. Age-standardized case fatality rates (ASCFR) per 100,000 population for pooled PBSRs was 30.0 (males) and 18.8 (females), and the rate ratio (M/F) ranged from 1.2 (Cuttack) to 2.0 (Cachar). Interpretation: Population-based registries have provided a comprehensive stroke surveillance platform to measure stroke burden and outcomes by age, sex, residence and subtype across India. The rural-urban pattern of stroke incidence and mortality shall guide health policy and programme planning to strengthen stroke prevention and treatment measures in India. Funding: The National Stroke Registry Programme is funded through the intramural funding of the Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, India.
ABSTRACT
Hypertension is a major risk factor for ischemic heart disease and stroke. We estimated prevalence, awareness, treatment, and control of hypertension along with its determinants in India. We used data from the National NCD Monitoring Survey-(NNMS-2017-2018) which studied one adult (18-69 years) from a representative sample of households across India and collected information on socio-demographic variables, risk factors for NCDs and treatment practices. Blood pressure was recorded digitally and hypertension was defined as systolic blood pressure (SBP) ≥ 140 mmHg or diastolic blood pressure (DBP) ≥ 90 mmHg or currently on medications. Awareness was defined as being previously diagnosed with hypertension by a health professional; on treatment as taking a dose of medication once in the last 14 days and; control as SBP < 140 mmHg and DBP < 90 mmHg. Multivariate Logistic regression was performed to estimate determinants. Out of 10,593 adults with a blood pressure measurement (99.4%), 3017 (28.5%; 95% CI: 27.0-30.1) were found to have hypertension. Of these hypertensives, 840 (27.9%; 95% CI: 25.5-30.3) were aware, 438 (14.5%; 95% CI: 12.7-16.5) were under treatment and, 379 (12.6%; 95% CI: 11.0-14.3) were controlled. Significant determinants of awareness were being in the age group 50-69 years (aOR 2.45 95% CI: 1.63-3.69), women (1.63; 95% CI: 1.20-2.22) and from higher wealth quintiles. Those in the age group 50-69 (aOR 4.80; 95% CI: 1.74-13.27) were more likely to be under treatment. Hypertension control was poorer among urban participants (aOR 0.55; 95% CI: 0.33-0.90). Significant regional differences were noted, though without any clear trend. One-fifth of the patients were being managed at public facilities. The poor population-level hypertension control needs strengthening of hypertension services in the Universal Health Coverage package.
Subject(s)
Hypertension , Noncommunicable Diseases , Adult , Humans , Female , Middle Aged , Aged , Hypertension/diagnosis , Hypertension/drug therapy , Hypertension/epidemiology , Blood Pressure/physiology , Risk Factors , Logistic Models , India/epidemiology , PrevalenceABSTRACT
A diet high in sodium contributes to a significant proportion of Disability Adjusted Life Years (DALYs) due to cardiovascular diseases. This paper describes the awareness, behaviour and determinants related to dietary salt intake in an adult population of 18-69 years that were assessed as part of the National NCD Monitoring Survey (NNMS) in India. A sub-sample of 3000 adults selected through simple random sampling from 150 nationally representative Primary Sampling Units (PSUs) was included. Data regarding awareness and behaviour related to dietary salt intake were collected. Urinary sodium excretion in spot urine samples was estimated and used to calculate dietary salt intake. The dietary salt intake's sociodemographic, behavioural and metabolic determinants were also analysed. Less than one-third of the adults of both genders in all age groups in rural and urban areas were aware that daily high salt intake could affect health. The estimated mean daily salt intake was 8.0 g (8.9 g/day for men and 7.1 g/day for women). The salt intake was significantly higher in men [Adjusted OR = 17.66 (5.24-59.46)], rural areas [Adjusted OR = 6.14 (1.83-20.60)], overweight and obese respondents [Adjusted OR = 17.62 (3.17-98.07)]. The perception of the harmful effects of high salt intake and practices to limit salt intake was low in the study population. The mean daily salt intake was higher than the WHO recommendation of up to 5 g daily. The mean dietary salt intake is high in the Indian population, which calls for planning and implementing control of dietary salt consumption measures.
Subject(s)
Nutritional Status , Sodium Chloride, Dietary , Adult , Female , Humans , Male , Asian People , India , Health Knowledge, Attitudes, Practice , Adolescent , Young Adult , Middle Aged , AgedABSTRACT
OBJECTIVE: To assess if optical coherence tomography (OCT) and OCT angiography (OCTA) measures are associated with the development and worsening of diabetic retinopathy (DR) over four years. METHODS: 280 participants with type 2 diabetes underwent ultra-wide field fundus photography, OCT and OCTA. OCT-derived macular thickness measures, retinal nerve fibre layer and ganglion cell-inner plexiform layer thickness and OCTA-derived foveal avascular zone area, perimeter, circularity, vessel density (VD) and macular perfusion (MP) were examined in relation to the development and worsening of DR over four years. RESULTS: After four years, 206 eyes of 219 participants were eligible for analysis. 27 of the 161 eyes (16.7%) with no DR at baseline developed new DR, which was associated with a higher baseline HbA1c and longer diabetes duration. Of the 45 eyes with non-proliferative DR (NPDR) at baseline, 17 (37.7%) showed DR progression. Baseline VD (12.90 vs. 14.90 mm/mm2, p = 0.032) and MP (31.79% vs. 36.96%, p = 0.043) were significantly lower in progressors compared to non-progressors. Progression of DR was inversely related to VD ((hazard ratio [HR] = 0.825) and to MP (HR = 0.936). The area under the receiver operating characteristic curves for VD was AUC = 0.643, with 77.4% sensitivity and 41.8% specificity for a cut-off of 15.85 mm/mm2 and for MP it was AUC = 0.635, with 77.4% sensitivity and 25.5% specificity for a cut-off of 40.8%. CONCLUSIONS: OCTA metrics have utility in predicting progression rather than the development of DR in individuals with type 2 diabetes.