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Context: Chronic diseases are growing in India and largely affecting the middle-aged and elderly population; many of them are in working age. Though a large number of studies estimated the out-of-pocket payment and financial catastrophe due to this condition, there are no nationally representative studies on productivity loss due to health problems. This paper examined the pattern and prevalence of productivity loss, due to chronic diseases among middle-aged and elderly in India. Methods: We have used a total of 72,250 respondents from the first wave of Longitudinal Ageing Study in India (LASI), conducted in 2017-18. We have used two dependent variables, limiting paid work and ever stopped work due to ill health. We have estimated the age-sex adjusted prevalence of ever stopped working due to ill health and limiting paid work across MPCE quintile and socio- demographic characteristics. Propensity Score Matching (PSM) and logistic regression was used to examine the effect of chronic diseases on both these variables. Findings: We estimated that among middle aged adults in 45–64 years, 3,213 individuals accounting to 6.9% (95%CI:6.46–7.24) had ever-stopped work and 6,300 individuals accounting to 22.7% (95% CI: 21.49–23.95) had limiting paid work in India. The proportion of ever-stopped and limiting work due to health problem increased significantly with age and the number of chronic diseases. Limiting paid work is higher among females (25.1%), and in urban areas (24%) whereas ever-stopped is lower among female (5.7%) (95% CI:5.16–6.25) and in urban areas (4.9%) (95% CI: 4.20–5.69). The study also found that stroke (21.1%) and neurological or psychiatric problems (18%) were significantly associated with both ever stopped work and limiting paid work. PSM model shows that, those with chronic diseases are 4% and 11% more likely to stop and limit their work respectively. Regression model reveals that more than one chronic conditions had a consistent and significant positive impact on stopping work for over a year (increasing productivity loss) across all three models. Conclusion: Individuals having any chronic disease has higher likelihood of ever stopped work and limiting paid work. Promoting awareness, screening and treatment at workplace is recommended to reduce adverse consequences of chronic disease in India. [ABSTRACT FROM AUTHOR]

About 10.5 percent of global adult population is living with diabetes. India has 77 million diabetic patients, it is the second highest in the world. Developing countries such as India face a huge burden of diabetes and its complications. Even children at the age of five are suffering from this disease. It is high time that people understand the gravity of the situation and make themselves fit to fight the disease than to suffer with it. If diabetes is not identified and treated in right time, it may lead to chronical health issues. In this paper a machine learning based prediction model is built to find the factors leading to complicated health issues such as cardio vascular disease. This model identifies the attributes that highly contribute to cardio vascular disease and compare various machine learning algorithms to predict cardio vascular disease among diabetic patients. It identifies the best algorithm from a set of supervised learning algorithms such as KNN, Decision Tree, Random Forest, Naïve Bayes and Gradient Boosting for prediction based on several performance metrics. The algorithms are compared based on the performance metrics such as accuracy, precision, recall, F1 score, time taken to train and time taken to test. We identified that Decision Tree with entropy as the split criterion achieved the highest accuracy. [ABSTRACT FROM AUTHOR]

Background: Enterococci are the transient constituents of the oral microbiome and have been now increasingly related to oral and systemic diseases. They have now become the most notable nosocomial pathogens and also been linked to etiology of periodontitis. This study evaluates the prevalence of Enterococci in the chronic periodontitis and healthy Indian cohort in different urban socioeconomic groups. Materials and Methods: In this retrospective study, individuals in the age range of 18-75 years were included. Seventy individuals had mild to moderate periodontitis and 30 healthy persons were taken as controls. A questionnaire was administered. Paper point samples of gingival crevicular fluid were obtained, pooled, and sent to microbiology laboratory in a transport media. Forty six isolates were identified as enterococci for statical analyzes Pearson's Chi square test used and. P < 0.001 was considered to be significant. Results: The prevalence of enterococci was seen mostly in the individuals from lower socioeconomic class, having poor oral hygiene, and smokers. This was significantly different from those of upper class (P < 0.001). The predominant species isolated was Enterococcus faecalis. Conclusion: Enterococci particularly E. faecalis followed by Enterococcus faecium could play a crucial role in the severity or progression of periodontitis particularly in a favorable oral environment. [ABSTRACT FROM AUTHOR]

Non-alcoholic fatty liver disease (NAFLD), a major cause of chronic liver disease, is known to affect a quarter of the global adults. Natural history of NAFLD shows interindividual variation, traditionally it progresses from simple steatosis to steatohepatitis to fibrosis/cirrhosis and finally yet rarely to hepatocellular carcinoma. It is largely a lifestyle-related disease and is often labeled as the hepatic manifestation of metabolic syndrome. Both prevention and control of NAFLD include controlling risk factors (obesity, diabetes mellitus, hypertension and dyslipidemia), through lifestyle modification and medications. Drug therapy for NAFLD per se is still evolving and till date, no drugs are approved. It is clinically silent, especially in the early stages, and is a diagnosis of exclusion. Certain easily calculated indices can stratify cases into high or low risk for advanced fibrosis, thereby dictating appropriate monitoring and treatment measures. In addition to complications specific to liver disease in those who do progress to advanced fibrosis or cirrhosis, an increased risk of nonliver disease-related morbidity and mortality is also present. Challenges are manifold and include rising burden due to ever-growing epidemic of diabetes and obesity, low public awareness, fragmented healthcare, no approved drugs, and dearth of data on magnitude and epidemiology of the disease. The recent integration of NAFLD into the National Program for Prevention and Control of Non-Communicable Diseases (NPCDCS) by the Ministry of Health and Family Welfare of India is a welcome step in this direction as the contributory factors are mostly the same for all diseases and controlling any one or all of them will have a desired impact on the prevalence of all the diseases under this program. [ABSTRACT FROM AUTHOR]

Background: The World Health Organization (WHO) reports that Asia and Africa have the highest Chronic Liver Disease (CLD) mortality rate. Cirrhosis, responsible for 22.2 fatalities per 100,000 people, is India's 10th most common cause of mortality. The increasing prevalence of chronic liver disease necessitates a study to identify predictive factors for patients who visit the emergency department. Identifying elements that enhance the predictive value of mortality in unstable patients with CLD complications is important in emergency departments. This study aims to determine Clinical and Laboratory Parameters as mortality predictors in adult chronic liver disease patients. Methodology: The study was conducted at the emergency department of a tertiary healthcare center in Northern India. Patients with chronic liver disease above 18 years of age who satisfied the inclusion criteria were clinically evaluated. Clinical and demographic details were collected, and data was analyzed. Results: Two hundred thirty-six patients were enrolled. The mean age was 50.77 ± 14.26 years. 78.4% of the participants were men. Abdominal distension, affecting 59.7% of patients, was the most common presenting ailment, followed by melena and hematemesis, affecting 41.9% and 32.6%, respectively. The mean stay in the emergency department was 10.29 ± 8.10 h. Refractory septic shock, the leading cause of mortality, accounts for 69.2% of all deaths, alongside grade 4 hepatic encephalopathy and massive Upper Gastrointestinal (UGI) bleeding, as identified in our study. Factors such as altered mental sensorium, high respiratory rate, low SpO2, increased heart rate, low systolic blood pressure, low diastolic blood pressure, and low Glasgow Coma Scale (GCS) on Emergency Department (ED) arrival are significantly associated with mortality. Conclusions: Chronic liver disease, a prevalent condition in India, most commonly seen in middle aged men and lower socioeconomic groups. The parameters independently associated with mortality in our study were presence of altered mental sensorium, Glasgow coma scale, Child Pugh class and need for ICU admission. Understanding the presentation pattern, and mortality predictors can help ED physicians in managing acute events and follow-ups. [ABSTRACT FROM AUTHOR]

In this paper, we examine patterns of self-reported diagnosis of noncommunicable diseases (NCDs) and prevalences of algorithm/measured test-based, undiagnosed, and untreated NCDs in China, Ghana, India, Mexico, Russia, and South Africa. Nationally representative samples of older adults aged ≥50 years were analyzed from wave 1 of the World Health Organization's Study on Global Ageing and Adult Health (2007-2010; n = 34,149). Analyses focused on 6 conditions: angina, arthritis, asthma, chronic lung disease, depression, and hypertension. Outcomes for these NCDs were: 1) self-reported disease, 2) algorithm/measured test-based disease, 3) undiagnosed disease, and 4) untreated disease. Algorithm/measured test-based prevalence of NCDs was much higher than self-reported prevalence in all 6 countries, indicating underestimation of NCD prevalence in low- and middle-income countries. Undiagnosed prevalence of NCDs was highest for hypertension, ranging from 19.7% (95% confidence interval (CI): 18.1, 21.3) in India to 49.6% (95% CI: 46.2, 53.0) in South Africa. The proportion untreated among all diseases was highest for depression, ranging from 69.5% (95% CI: 57.1, 81.9) in South Africa to 93.2% (95% CI: 90.1, 95.7) in India. Higher levels of education and wealth significantly reduced the odds of an undiagnosed condition and untreated morbidity. A high prevalence of undiagnosed NCDs and an even higher proportion of untreated NCDs highlights the inadequacies in diagnosis and management of NCDs in local health-care systems. [ABSTRACT FROM AUTHOR]

Background: Expenditure on medications for highly prevalent chronic conditions such as diabetes mellitus (DM) can result in financial impoverishment. People in developing countries and in low socioeconomic status groups are particularly vulnerable. China and India currently hold the world's two largest DM populations. Both countries are ageing and undergoing rapid economic development, urbanisation and social change. This paper assesses the determinants of DM medication use and catastrophic expenditure on medications in older adults with DM in China and India.Methods: Using national standardised data collected from adults aged 50 years and above with DM (self-reported) in China (N = 773) and India (N = 463), multivariable logistic regression describes: 1) association between respondents' socio-demographic and health behavioural characteristics and the dependent variable, DM medication use, and 2) association between DM medication use (independent variable) and household catastrophic expenditure on medications (dependent variable) (China: N = 630; India: N = 439). The data source is the World Health Organization (WHO) Study on global AGEing and adult health (SAGE) Wave 1 (2007-2010).Results: Prevalence of DM medication use was 87% in China and 71% in India. Multivariable analysis indicates that people reporting lifestyle modification were more likely to use DM medications in China (OR = 6.22) and India (OR = 8.45). Women were more likely to use DM medications in China (OR = 1.56). Respondents in poorer wealth quintiles in China were more likely to use DM medications whereas the reverse was true in India. Almost 17% of people with DM in China experienced catastrophic healthcare expenditure on medications compared with 7% in India. Diabetes medication use was not a statistically significant predictor of catastrophic healthcare expenditure on medications in either country, although the odds were 33% higher among DM medications users in China (OR = 1.33).Conclusions: The country comparison reflects major public policy differences underpinned by divergent political and ideological frameworks. The DM epidemic poses huge public health challenges for China and India. Ensuring equitable and affordable access to medications for DM is fundamental for healthy ageing cohorts, and is consistent with the global agenda for universal healthcare coverage. [ABSTRACT FROM AUTHOR]

Background: The WHO defines LBW as "Birth weight less than 2500 grams" regardless of gestational age. Being born with a low birth weight also incurs enormous economic costs, including higher medical expenditures and social service expenses, and decreased productivity in adulthood. Objective: To study distribution of newborns' according to pregnancy related factors and its association with newborns' birth weight. Methods: An institutional based cross-sectional study. New-borns delivered at study institute were considered as study participants. Estimated final sample size was 500. Guardians (mothers) were face-to-face interviewed and also recorded data were collected from the case file and Mother and Child Protection Card. Results: Prevalence of LBW newborns was higher in mothers with late ANC registration, <4 ANC visits, chronic medical conditions, infection during pregnancy, PIH, anemia, consuming tobacco, exposure to second hand smoke, LSCS/Assisted delivery, in female newborns', current pregnancy birth order number more than 2, in pre term newborns' and mothers with bad obstetric history. Conclusion: Create awareness and adoption of suitable family planning methods. Need to do early (within 12 weeks) ANC registration with minimum four ANC visits for better pregnancy outcome. Effective tracking and suitable intervention provided to improve current pregnancy outcome. Health care professional should pay special attention to high-risk pregnancy. Develop social culture in such a way that females are neither addicted nor exposed to any tobacco containing products in their life. [ABSTRACT FROM AUTHOR]

Background: Chronic conditions are on rise globally and in India. Prevailing intra-urban inequities in access to healthcare services compounds the problems faced by urban poor. This paper reports the trends in self-reported prevalence of chronic conditions and health-seeking pattern among residents of a poor urban neighborhood in south India. Methods: A cross sectional survey of 1099 households (5340 individuals) was conducted using a structured questionnaire. The prevalence and health-seeking pattern for chronic conditions in general and for hypertension and diabetes in particular were assessed and compared with a survey conducted in the same community three years ago. The predictors of prevalence and health-seeking pattern were analyzed through a multivariable logistic regression analysis. Results: The overall self-reported prevalence of chronic conditions was 12 %, with hypertension (7 %) and diabetes (5.8 %) being the common conditions. The self-reported prevalence of chronic conditions increased by 3.8 percentage point over a period of three years (OR: 1.5). Older people, women and people living below the poverty line had greater odds of having chronic conditions across the two studies compared. Majority of patients (89.3 %) sought care from private health facilities indicating a decrease by 8.7 percentage points in use of government health facility compared to the earlier study (OR: 0.5). Patients seeking care from super specialty hospitals and those living below the poverty line were more likely to seek care from government health facilities. Conclusion: There is need to strengthen health services with a preferential focus on government services to assure affordable care for chronic conditions to urban poor. [ABSTRACT FROM AUTHOR]

Background: Stroke is one of the most commonly occurring disease which leads to hemiparesis along with other symptoms like spasticity, sensory disturbances etc. considered to be a part of positive signs of upper motor neuron (UMN) syndrome. Spasticity is a common disorder in patients with injury of the brain and spinal cord. Aim: The aim of the present study was to corelate the foot posture index, H/M ratio and spatial gait parameters in the assessment of poststroke patients with ankle planter-flexor spasticity. Methodology: It was an observational study which consisted of 32 chronic stroke patients. Both male and female with age group 45-70 years and stroke duration more than 3 months were included in the study. Spasticity was assessed using H/M ratio, foot posture was assessed by Foot Posture Index (FPI) and Step length and Stride length were taken. Result: Statistical analysis was done using SPSS 20 for windows. The correlation between Hmax/Mmax ratio, FPI, step length and Stride length were evaluated using Spearman's correlation coefficient test. It was suggestive of strong negative correlation between FPI and Hmax/Mmax ratio, weak negative correlation between step length Hmax/Mmax ratio, strong negative co-relation between stride length and H/M ratio, moderate positive co-relation between Foot Posture Index (FPI) and step length and strong positive corelation between FPI and stride length. (p<0.05) Conclusion: From the present study it can be concluded that there is co-relation between Spasticity, Foot posture and Gait parameters in planter-flexor spasticity in post-stroke patients. It can also be concluded that Hmax/Mmax ratio and FPI are needed to be assessed in every post stroke patient as it has influence on Gait parameters such as step length and stride length. [ABSTRACT FROM AUTHOR]

Objectives: Exploring data on primary caregiver experiences of dealing with chronically ill children (CIC) strengthens the ability of paediatricians to improve the quality of care by detecting unmet needs in paediatric palliative care and understanding their original concerns instead of presumed needs. Hence, this study aims to identify and describe the primary concerns and challenges faced by caregivers of children with complex chronic conditions in a tertiary care hospital in Kerala. Materials and Methods: Primary caregivers of 25 children aged <13 years with non-malignant life-limiting illnesses, admitted to the paediatric department of a government medical college in Kerala between 1 July 2021 and 28 February 2022, underwent in-depth interviews to analyse their most worrisome issues. Thematic analysis was the method chosen for qualitative data analysis. Results: The main themes identified were medical issues, unmet needs, caregiver health issues, and social and financial issues. Among the medical issues, poor seizure control and infected bedsores, sleep deprivation in both patient as well as caregivers, and difficulty in maintaining the personal hygiene of patients were the major issues. Parents of almost all the CICs reported that they required diapers more than any other material or device. Maternal depression was the major caregiver health issue. The unavailability of antiepileptic drugs in peripheral health centres resulted in missing doses and undue expenses for travel to tertiary centres to obtain the same. Caregivers reported their dismay when they finally realised that they were given false hopes of a cure by different systems of medicine. Conclusion: The challenges faced by caregivers of children with complex chronic conditions are multifaceted. Their most problematic issues related to medical issues are the occurrence of breakthrough seizures and development of infected bedsores. The most important material hardship reported was diaper needs. Caregiver issues such as sleep deprivation and maternal depression must be identified and addressed while providing comprehensive palliative care. [ABSTRACT FROM AUTHOR]

There is a sudden blast of the "65 plus" population in the last decade, and India is no exception to that. A continuing progress in the medical field has raised the longevity of life. This changing face of population offers the oral professionals to observe unique challenges to treat the rapidly growing segment of the elderly and the dependant overage population-- the Homebound residents and the Nursing homebound residents. The old age of the residents is compounded with chronic medical problems they are suffering from and the medications they are taking. This cohort is characteristically different from other elderly due to their dependency to carry even the routine activities such as tooth cleaning which results in increased risk towards the oral ailments. As very few surveys are done regarding the oral health status among this section, the prevalence of oral and dental problems in them is under a cloud. "Dental care at home or at destinations of residents" is yet a novel concept in India, hence not only there is a need to reach to the residents but also to treat them in the holistic manner. The purpose of this paper is to review the existing oral health conditions in the elderly in India. [ABSTRACT FROM AUTHOR]

Major noncommunicable diseases (NCDs) share common behavioral risk factors and deep-rooted social determinants. India needs to address its growing NCD burden through health promoting partnerships, policies, and programs. High-level political commitment, inter-sectoral coordination, and community mobilization are important in developing a successful, national, multi-sectoral program for the prevention and control of NCDs. The World Health Organization's "Action Plan for a Global Strategy for Prevention and Control of NCDs" calls for a comprehensive plan involving a whole-of-Government approach. Inter-sectoral coordination will need to start at the planning stage and continue to the implementation, evaluation of interventions, and enactment of public policies. An efficient multi-sectoral mechanism is also crucial at the stage of monitoring, evaluating enforcement of policies, and analyzing impact of multi-sectoral initiatives on reducing NCD burden in the country. This paper presents a critical appraisal of social determinants influencing NCDs, in the Indian context, and how multi-sectoral action can effectively address such challenges through mainstreaming health promotion into national health and development programs. India, with its wide socio-cultural, economic, and geographical diversities, poses several unique challenges in addressing NCDs. On the other hand, the jurisdiction States have over health, presents multiple opportunities to address health from the local perspective, while working on the national framework around multi-sectoral aspects of NCDs. [ABSTRACT FROM AUTHOR]

Noncommunicable diseases (NCDs) have become a major public health problem in India accounting for 62% of the total burden of foregone DALYs and 53% of total deaths. In this paper, we review the social and economic impact of NCDs in India. We outline this impact at household, health system and the macroeconomic level. Cardiovascular diseases (CVDs) figure at the top among the leading ten causes of adult (25-69 years) deaths in India. The effects of NCDs are inequitable with evidence of reversal in social gradient of risk factors and greater financial implications for the poorer households in India. Out-of-pocket expenditure associated with the acute and long-term effects of NCDs is high resulting in catastrophic health expenditure for the households. Study in India showed that about 25% of families with a member with CVD and 50% with cancer experience catastrophic expenditure and 10% and 25%, respectively, are driven to poverty. The odds of incurring catastrophic hospitalization expenditure were nearly 160% higher with cancer than the odds of incurring catastrophic spending when hospitalization was due to a communicable disease. These high numbers also pose significant challenge for the health system for providing treatment, care and support. The proportion of hospitalizations and outpatient consultations as a result of NCDs rose from 32% to 40% and 22% to 35%, respectively, within a decade from 1995 to 2004. In macroeconomic term, most of the estimates suggest that the NCDs in India account for an economic burden in the range of 5-10% of GDP, which is significant and slowing down GDP thus hampering development. While India is simultaneously experiencing several disease burdens due to old and new infections, nutritional deficiencies, chronic diseases, and injuries, individual interventions for clinical care are unlikely to be affordable on a large scale. While it is clear that "treating our way out" of the NCDs may not be the efficient way, it has to be strongly supplemented with population-based services aimed at health promotion and action on social determinants of health along with individual services. Since health sector alone cannot deal with the "chronic emergency" of NCDs, a multi-sectoral action addressing the social determinants and strengthening of health systems for universal coverage to population and individual services is required. [ABSTRACT FROM AUTHOR]

Background: Only a few studies have explored the relationship between psychosocial factors and medication adherence in Indian patients with noncommunicable diseases (NCDs). We aimed to examine the association of psychosocial variables with medication adherence in people with NCDs and comorbid common mental disorders (CMDs) from primary care in rural southern India. Methods: We performed a secondary analysis using baseline data from a randomized controlled trial in 49 primary care health centers in rural southern India (HOPE study). Participants were adults (≥30 years) with NCDs that included hypertension, diabetes, and/or ischemic heart disease, and comorbid depression or anxiety disorders. Medication adherence was assessed by asking participants if they had missed any prescribed NCD medication in the past month. Data were collected between May 2015 and November 2018. The association between psychosocial and demographic variables and medication nonadherence were assessed via logistic regression analyses. Results: Of the 2486 participants enrolled, almost one-fifth (18.06%) reported missing medication. Male sex (OR = 1.74, 95% CI 1.37–2.22) and higher internalized mental illness stigma (OR = 1.46, 95% CI 1.07–2.00) were associated with higher odds of missing medication. Older age (OR = 0.40, 95% CI 0.26–0.60, for participants aged 64–75 years vs 30–44 years), reporting more social support (OR = 0.65, 95% CI 0.49–0.86), and higher satisfaction with health (OR = 0.74, 95% CI 0.61–0.89) were associated with lower odds of missing medication. Conclusions: Greater internalized mental illness stigma and less social support are significantly associated with lower rates of medication adherence in patients with NCDs and comorbid CMDs in rural India. [ABSTRACT FROM AUTHOR]

Background: Non-communicable diseases (NCDs) are a leading cause of death globally and disproportionately affect those in low- and middle-income countries lower-middle-income countries. Poor medication adherence among patients with NCDs is prevalent in India due to lack of initiation, missed dosing or cessation of treatment, and represents a growing healthcare and financial burden. Objective: This study aimed to identify factors influencing medication adherence in adults with NCDs in India. Methods: We performed a cross-sectional study, conducting secondary data analysis on the second wave of the World Health Organisation’s ‘Study on global AGEing and adult health (SAGE)’, a survey that collected data from predominantly older adults across India. Bivariate analysis and multivariate logistic regression modelling were conducted to specifically interrogate the reasons for lack of initiation and cessation of treatment. Reporting of this study was informed by the STROBE guidelines. Results: The average medication adherence rate was 51% across 2,840 patients with one or more NCDs, reflecting non-initiation and lack of persistence of treatment. The strongest factor significantly predicting non-adherence to medication across these components was multimorbidity (odds ratio 0.47, 95% CI 0.40–0.56). Tobacco use (OR = 0.76, CI 0.59–0.98) and never having attended school (OR = 0.75, CI 0.62–0.92) were significantly associated with poor medication adherence (p < 0.05) while rural living (OR = 0.70, CI 0.48–1.02), feelings of anxiety (OR = 0.84, CI 0.66–1.08) and feelings of depression (OR = 0.90, CI 0.70–1.16) were factors lacking statistically significant association with medication adherence on multivariate analysis. Older age (OR = 2.02, CI 1.51–2.71) was significantly associated with improved medication adherence whilst there was a weak association between increased wealth and improved medication use. Limitations: The SAGE2 survey did not capture whether patients were taking their medication doses according to prescribed instructions—as a result our findings may under-estimate the true prevalence of medication non-adherence. Conclusion: Our analysis provides evidence that poor medication adherence in India is multifactorial, with distinct socioeconomic and health-system factors interacting to influence patient decision making. Future large-scale surveys interrogating adherence should assess all components of adherence specifically, whilst public health interventions to improve medication adherence should focus on barriers that may exist due to multimorbidity, comorbid depression and anxiety, and low educational status. [ABSTRACT FROM AUTHOR]

Background: Identifying people with early and late onset of chronic conditions might help target the subpopulations that are more vulnerable to negative mental, physical and functional health outcomes. The current study aimed to examine the association of early and late onset of chronic single and multiple morbidities with self-perceived physical and mental health, functional limitations and physical inactivity among older Indian adults. Methods: Cross-sectional study was conducted using data from the Longitudinal Ageing Study in India (LASI) Wave 1 (2017–2018). The total sample size for the present study was 31,386 older adults age 60 years or older. Multivariable binary logistic regression analysis was used to establish the association between the outcomes (poor perceived physical/mental health, functional difficulty and physical inactivity) and explanatory variables (early [ = < 50 years of age] and late [> 50 years]) onset of chronic illnesses such as hypertension, diabetes, heart attack, heart disease, stroke, cancer, lung disease, arthritis, osteoporosis and psychiatric disease). Results: Overall, 24.21% of the sample population had poor self-perceived physical health, whereas 8.67% of participants had poor self-perceived mental health. The prevalence of difficulty in ADL, difficulty in IADL, and physical inactivity was 23.77%, 48.36%, and 68.9%, respectively. Odds of poor perceived mental health were higher for the respondents with early as well as late onset of hypertension, stroke, and arthritis; while individuals with late onset of diabetes, and heart disease had higher odds of poor perceived mental health than those without chronic disease. Individuals with early onset of single morbidity were more likely to report ADL difficulty (adjusted odds ratio [AOR]: 1.33, confidence interval [CI]: 1.06–1.67); while those with late onset of single (AOR: 1.34, CI: 1.17–1.53) and multimorbidity (AOR: 1.91, CI: 1.63–2.24) were more likely to report ADL difficulty compared with individuals without morbidity. Individuals with early as well as late-onset of multimorbidity had more than two times higher odds of reporting poor physical health, poor mental health and IADL difficulty compared with individuals without chronic disease. Conclusions: The present study revealed that early and/or late onset of chronic single and/or multiple morbidities significantly predicted poor self-perceived physical and mental health, functional limitations and physical inactivity among older Indian adults. The findings further suggest that late onset of chronic diseases such as cancer and stroke and multi-morbidity had stronger associations with physical inactivity that may help identify high risk groups for screening and support. [ABSTRACT FROM AUTHOR]

The current research aims to aid policymakers and healthcare service providers in estimating expected long-term costs of medical treatment, particularly for chronic conditions characterized by disease transition. The study comprised two phases (qualitative and quantitative), in which we developed linear optimization-based mathematical frameworks to ascertain the expected long-term treatment cost per patient considering the integration of various related dimensions such as the progression of the medical condition, the accuracy of medical treatment, treatment decisions at respective severity levels of the medical condition, and randomized/deterministic policies. At the qualitative research stage, we conducted the data collection and validation of various cogent hypotheses acting as inputs to the prescriptive modeling stage. We relied on data collected from 115 different cardio-vascular clinicians to understand the nuances of disease transition and related medical dimensions. The framework developed was implemented in the context of a multi-specialty hospital chain headquartered in the capital city of a state in Eastern India, the results of which have led to some interesting insights. For instance, at the prescriptive modeling stage, though one of our contributions related to the development of a novel medical decision-making framework, we illustrated that the randomized versus deterministic policy seemed more cost-competitive. We also identified that the expected treatment cost was most sensitive to variations in steady-state probability at the "major" as opposed to the "severe" stage of a medical condition, even though the steady-state probability of the "severe" state was less than that of the "major" state. [ABSTRACT FROM AUTHOR]

Background: Resource allocation in health is universally challenging, but especially so in resource-constrained contexts in the Global South. Pursuing a strategy of evidence-based decision-making and using tools such as Health Technology Assessment (HTA), can help address issues relating to both affordability and equity when allocating resources. Three BRICS and Global South countries, China, India and South Africa have committed to strengthening HTA capacity and developing their domestic HTA systems, with the goal of getting evidence translated into policy. Through assessing and comparing the HTA journey of each country it may be possible to identify common problems and shareable insights. Objectives: This collaborative paper aimed to share knowledge on strengthening HTA systems to enable enhanced evidence-based decision-making in the Global South by: Identifying common barriers and enablers in three BRICS countries in the Global South; and Exploring how South-South collaboration can strengthen HTA capacity and utilisation for better healthcare decision-making. Methods: A descriptive and explorative comparative analysis was conducted comprising a Within-Case analysis to produce a narrative of the HTA journey in each country and an Across-Case analysis to explore both knowledge that could be shared and any potential knowledge gaps. Results: Analyses revealed that China, India and South Africa share many barriers to strengthening and developing HTA systems such as: (1) Minimal HTA expertise; (2) Weak health data infrastructure; (3) Rising healthcare costs; (4) Fragmented healthcare systems; and (5) Significant growth in non-communicable diseases. Stakeholder engagement and institutionalisation of HTA were identified as two conducive factors for strengthening HTA systems. Conclusion: China, India and South Africa have all committed to establishing robust HTA systems to inform evidence-based priority setting and have experienced similar challenges. Engagement among countries of the Global South can provide a supportive platform to share knowledge that is more applicable and pragmatic. [ABSTRACT FROM AUTHOR]

Financial burden influences elderly individuals' health-related quality of life (HRQoL). Very little is understood concerning the association between financial strain and HRQoL in vulnerable groups. This study aimed to examine the relationships among financial load and HRQoL of Odisha State, India who suffer from chronic illness, along with cancer. In this crosssectional investigation, 72 Citizens of Odisha (aged 60-89) with one or maybe more chronic diseases took part in a randomized preliminary trial. We investigated financial burden components using factor analysis. A 27 -point FACT-G (Functional Assessment of Cancer Therapy-General) was applied to measure HRQoL. The correlations among financial burden and HRQoL sub-dimensions were investigated using multiple linear regression. The factor analysis showed three financial burden constructs: health costs issues, financial burden medication compliance, and monetary stress. Financial burden was related to lower HRQoL throughout various areas in this research of older adults of Odisha with chronic conditions. [ABSTRACT FROM AUTHOR]

In low-and-middle-income countries, people develop chronic diseases at a younger age, leading to health-and-economic loss. Estimates of the age of onset of chronic disease provide evidence for policy intervention, but in the Indian context, evidence is limited. The present study aims to explore the onset of seven chronic diseases across adults and the elderly, along with the prognostic factors of chronic disease onset. Using Wave 1 data of the Longitudinal Ageing Study in India (LASI), we estimated the statistical distributions, the median age at onset, and Loglogistic and Weibull accelerated failure time model to understand the onset of seven medically diagnosed self-reported chronic diseases across age groups. We also obtained the sub-distribution hazard ratio (SHR) from the Fine-Gray model to determine the risk of contracting selected chronic diseases in a competing risk setup. The seven chronic diseases– hypertension, diabetes, lung disease, heart disease/stroke, arthritis, neurological disease, and cancer– were developing early, especially in individuals aged 45–54 and 55–64. Arthritis risk was higher in rural areas, and physically active adults and elderly were 1.32 times (95% CI 1.12–1.56) more likely to develop heart disease/stroke. The emerging evidence of the early onset of neurological diseases in middle-aged adults (i.e., among the 45–54 age group) reminds us of the need to reinforce a balance between the physical and mental life of individuals. The early onset of chronic diseases in the independent and working-age category (45–54 years) can have many social and economic implications. For instance, it can create a greater healthcare burden when these individuals grow older with these diseases. Further, disease-specific interventions would be helpful in reducing future chronic disease burden. [ABSTRACT FROM AUTHOR]

Context: Expeditious diagnosis and treatment of chronic conditions are critical to control the burden of non-communicable disease in low- and middle-income countries. We aimed to estimate sociodemographic and geographic inequalities in diagnosis and treatment of chronic conditions among adults aged 45 + in India. Methods: We used 2017–18 nationally representative data to estimate prevalence of chronic conditions (hypertension, diabetes, lung disease, heart disease, stroke, arthritis, cholesterol, and neurological) reported as diagnosed and percentages of diagnosed conditions that were untreated by sociodemographic characteristics and state. We used concentration indices to measure socioeconomic inequalities in diagnosis and lack of treatment. Fully adjusted inequalities were estimated with multivariable probit and fractional regression models. Findings: About 46.1% (95% CI: 44.9 to 47.3) of adults aged 45 + reported a diagnosis of at least one chronic condition and 27.5% (95% CI: 26.2 to 28.7) of the reported conditions were untreated. The percentage untreated was highest for neurological conditions (53.2%; 95% CI: 50.1 to 59.6) and lowest for diabetes (10.1%; 95% CI: 8.4 to 11.5). Age- and sex-adjusted prevalence of any diagnosed condition was highest in the richest quartile (55.3%; 95% CI: 53.3 to 57.3) and lowest in the poorest (37.7%: 95% CI: 36.1 to 39.3). Conditional on reported diagnosis, the percentage of conditions untreated was highest in the poorest quartile (34.4%: 95% CI: 32.3 to 36.5) and lowest in the richest (21.1%: 95% CI: 19.2 to 23.1). Concentration indices confirmed these patterns. Multivariable models showed that the percentage of untreated conditions was 6.0 points higher (95% CI: 3.3 to 8.6) in the poorest quartile than in the richest. Between state variations in the prevalence of diagnosed conditions and their treatment were large. Conclusions: Ensuring more equitable treatment of chronic conditions in India requires improved access for poorer, less educated, and rural older people who often remain untreated even once diagnosed. Highlights: • Little is known about sociodemographic and geographic inequalities in the diagnosis and treatment of chronic illness among middle-aged and older adults in India. • Self-reported diagnosed chronic conditions are more prevalent among socially advantaged groups but the disadvantaged are more likely to be untreated. • To ensure more equitable treatment of chronic conditions, efforts to improve access should be directed towards poorer, less educated, and ruralolder people. [ABSTRACT FROM AUTHOR]

Introduction: A healthy mouth is the gateway to a healthy body. Oral health is an integral component of the overall health and well-being and dental caries is probably the commonest chronic disease in the world (Levine 2011)1. Worldwide, 60-90% of school children and nearly 100% of adults have dental cavities, often leading to pain and discomfort. (WHO, April 2012)2. Unfortunately, many children are afflicted with dental caries at an early age. According to the National Health Survey3 conducted nationwide in 2004 in India, the percentage prevalence of dental caries were found to be 51.9% in 5 year old, 53.8% in 12 year old and 63.1% in 15 year old children. AIM: To analyse the possibility of early detection of caries prone children from their rate of flow of unstimulated saliva and salivary pH. DMF: For children over 7 (seven) years and upto 11 or 12 the decayed, missing and filled primary molars and canines have been used to determine a dmft or dmfs when the surfaces are counted. A primary molar or canine is presumed missing because of dental caries when it is missing before the normal exfoliation time. III. dft and dfs: Description: In the deft and defs as described, both 'd' and 'e' are used to describe teeth with dental caries. Because of that 'd' and 'e' are sometimes combined and the index becomes the dft and dfs. Teeth not counted: 1) Missing teeth including unerupted and congenitally missing. 2) Supernumerary teeth 3) Teeth restored for reasons other than dental caries are not counted as f. Over 7,187 DMF index publications included in PubMed (Larmas M, 2010)102. underlines its leading role in the present epidemiological caries research. [ABSTRACT FROM AUTHOR]

Behind the statistics forecasting millions of deaths associated with antimicrobial resistance (AMR) is an even greater burden of morbidity leaving many people with long-term chronic illnesses and disability. Despite growing recognition of the importance of inter-sectoral and inter-disciplinary knowledge in forming responses to address this global health threat, there remains a paucity of social science research to understand the social burdens of AMR. In this qualitative study we explore the experiences of people living with chronic AMR infections, their interactions with health providers and therapeutic quests for care, and the effects upon their lives and that of their families and caregivers. Our analysis reveals that the resistant infections impacted not only the physical health but also the mental health of the sufferers and their caregivers, causing major disruptions to their social and work lives. Most undertook arduous treatment regimes – of powerful antibiotics with debilitating side effects, combined a range of other complementary and alternate therapies, including travel to seek treatment overseas. Further, we question the notion of 'AMR survivorship' currently being promoted as part of a public education campaign by the World Health Organisation and whether people with the diverse AMR experience really self-identify as 'survivors' of a biosocial group. [ABSTRACT FROM AUTHOR]

Multimorbidity remains an underexplored domain in Indian primary care. We undertook a study to assess the prevalence, correlates, and outcomes of multimorbidity in primary care settings in India. This paper describes the process of development and validation of our data collection tool “Multimorbidity Assessment Questionnaire for Primary Care (MAQ-PC).” An iterative process comprising desk review, chart review, and expert consultations was undertaken to generate the questionnaire. The MAQ-PC contained items on chronic conditions, health care utilization, health related quality of life, disease severity, and sociodemographics. It was first tested with twelve adults for comprehensibility followed by test-retest reliability with 103 patients from four primary care practices. For interrater reliability, two interviewers separately administered the questionnaire to sixteen patients. MAQ-PC displayed strong internal consistency (Cronbach’s alpha: 0.69), interrater reliability (Cohen’s Kappa: 0.78–1), and test-retest reliability (ICC: 0.970–0.741). Substantial concordance between self-report and physician diagnosis (Scott Kappa: 0.59–1.0) was observed for listed chronic conditions indicating strong concurrent validity. Nearly 54% had one chronic condition and 23.3% had multimorbidity. Our findings demonstrate MAQ-PC to be a valid and reliable measure of multimorbidity in primary care practice and suggest its potential utility in multimorbidity research in India. [ABSTRACT FROM AUTHOR]

Background: Age is one of the predominant reasons for perceived discrimination in developing world where older people are considered a non-contributing burden. The present study explores the prevalence and correlates of perceived age discrimination among older Indian adults.Methods: A cross-sectional study was conducted using a large representative survey data from the Longitudinal Ageing Study in India conducted during 2017-18. Participants included 31,464 older adults aged 60 years and above. Multivariable logistic regression analysis was used to test the associations between selected background characteristics and perceived age discrimination.Results: The analysis revealed that 10.33 percent of older adults perceived their age as the main reason for discrimination, which was 11.86% among the oldest-old. Older adults with more than 10 years of schooling were 32% [adjusted odds ratio (AOR): 0.68; confidence interval (CI): 0.51-0.89] less likely to perceive age discrimination compared to their uneducated counterparts. The odds of perceived age discrimination were higher among older adults who earlier worked [AOR: 1.73; CI: 1.46-2.05] and currently working [AOR: 1.61; CI: 1.31-1.96] as compared to those who never worked. Further, having difficulty in instrumental activities of daily living (IADL) [AOR: 1.43; CI: 1.25 -1.65] and having one chronic condition [AOR: 1.16; CI: 1.02 -1.34] were associated with increased odds of perceived age discrimination among older adults.Conclusion: Older adults with lower socioeconomic status, currently working, having more chronic conditions, difficulty in IADL and belonging to rural areas were found to perceive higher age discrimination than their counterparts. The findings of the study have important implications for policy makers with respect to strategies such as making the vulnerable populations aware of their legal rights that help in the prevention of age-based discrimination in the country. [ABSTRACT FROM AUTHOR]

Chronic diseases are the leading causes of disability and premature death among the elderly population in India. The study, using data from the 75th round of the NSSO survey (N = 44,631), examined the prevalence and determinants of chronic diseases among the population aged 60+ in India by applying bivariate and logistic regression analyses and used a non-linear decomposition technique to understand the urban-rural differences in the prevalence of chronic diseases. About 21% of the elderly in India reportedly have at least one chronic disease. Seventeen percent elderly in rural areas and 29% in urban areas suffer from a chronic disease. Hypertension and diabetes account for about 68% of all chronic diseases. The prevalence of chronic diseases is the highest in Kerala (54%), followed by Andhra Pradesh (43), West Bengal (36), and Goa (32). Those with higher levels of education, staying in urban areas, those who are economically dependent on others, staying alone or without spouse and children, and belonging to wealthy households have a higher likelihood of having a chronic disease. The probability of having a chronic disease is 1.15 times higher among urban residents as compared to their rural counterparts. Elderly rural women, compared to elderly rural men, and never-married, widowed, and divorced elderly urban women, compared to married elderly urban men, are significantly more likely to suffer from chronic ailments. Differences in education, wealth status, and caste are the three most significant contributors to the urban-rural gap in chronic diseases. The high risk of chronic diseases among certain subsets of the elderly population must be recognized as a key public health concern. The findings of our study will likely help promote healthy ageing in India. [ABSTRACT FROM AUTHOR]

BACKGROUND: The increasing burden of chronic diseases is a particular risk to countries with developing health systems. Chronic obstructive pulmonary disease (COPD) is contributing to the burden of chronic diseases. Understanding the current prevalence of COPD in India is important for the production of sustainable management strategies. AIMS: To provide a systematic review of studies assessing the prevalence of COPD in India. METHODS: Database searches, journal hand searches, and scanning of reference lists were used to identify studies. Studies of general adult populations resident in India were included. Data extraction and quality assessment were carried out using pre-tested proformas. Owing to the heterogeneity of reviewed studies, meta-analysis was not appropriate. Thus, narrative methods were used. RESULTS: We did not identify any studies from which we could draw a rigorous estimate of the prevalence of COPD by standard definition. Reliable standard estimates of chronic bronchitis were only available for rural populations. We identified four studies that gave estimated prevalences between 6.5% and 7.7%, and others suggestive that prevalences in some environmentally atypical regions may lie outside this range. Sex and smoking status were relatively important predictors of COPD prevalence. Residential environs, age, and domestic smoke exposure are also important, but investigation of their effect was limited by study heterogeneity. CONCLUSIONS: Although limited by the number and heterogeneity of studies and their unsuitability for meta-analysis, we found the most rigorous existing estimates of the general prevalence of chronic bronchitis in rural areas to lie between 6.5% and 7.7%. These figures are unlikely to apply to all Indian subpopulations, so the general prevalence of chronic bronchitis in India remains unknown. Accurate estimates of the prevalence of chronic bronchitis/COPD from across the country are required to supplement existing data if optimal management strategies are to be devised. [ABSTRACT FROM AUTHOR]

Background: Though extensive studies have been conducted on assessing the predictors of cognitive functioning among older adults in small community-based samples, very few studies have focused on understanding the impact of socioeconomic status (SES), demographic characteristics and other risk factors such as lifestyle and chronic diseases on the cognitive functioning among adults of all ages in a nationally representative population-based sample across low- and middle-income countries. This study, therefore, seeks to evaluate the impact of SES, demographic characteristics and risk factors on the cognitive functioning of adults across all ages in five selected developing countries. Methods: Data from 12,430 observations obtained from the WHO Study on Global AGEing and Adult Health (SAGE) Wave 1; consisting of 2,486 observations each for China, Ghana, India, the Russian Federation, and South Africa, were used for the study. A meta-regression and a five-step hierarchical linear regression were used to analyze the data, with cognitive functioning as the dependent variable. Independent variables used in this study include SES; assessed by household income and education, demographic characteristics, other risk factors such as lifestyle, self-reported memory difficulty and chronic diseases. Results: This study found that SES and lifestyle significantly predicted cognitive functioning in all the five selected countries as obtained by the pooled results of the meta-regression analysis. The hierarchical linear regression results also revealed that demographic characteristics such as age, type of residency, and self-reported memory difficulty significantly impact cognitive functioning in China, Ghana, Russia, and South Africa. Conclusion: The findings in this study provide new insights for policymakers, caregivers, parents, and individuals, especially those in developing countries, to implement policies and actions targeted at improving SES and eliminating risk factors associated with cognitive decline, as these measures could help improve the cognitive functioning among their populations. [ABSTRACT FROM AUTHOR]

Objective: The present study aims to determine the health-related quality of life (HRQoL) among liver disorder patients being treated in tertiary care hospital in north India and exploration of factors affecting HRQoL. Methodology: The HRQoL was assessed among 230 patients visiting either the outpatient department (OPD) or those admitted in high dependency unit (HDU) or liver intensive care unit (ICU) using direct measuring tools such as Euro QoL five-dimension questionnaire (EQ-5D) and EQ visual analog scale. Multivariate regression was used to explore the factors influencing HRQoL. Results: Mean EQ-5D scores among chronic hepatitis and compensated cirrhosis patients were 0.639 ± 0.062 and 0.562 ± 0.048, respectively. Among those who were admitted in the ICU or HDU, mean EQ-5D score was 0.295 ± 0.031. At discharge, this score improved significantly to 0.445 ± 0.055 (P < 0.001). The multivariate results implied that HRQoL was significantly better among patients with lower literacy level (P = 0.018) and those treated in OPD settings (P < 0.001). Conclusion: HRQoL is impaired among patients suffering from liver disorders specifically those admitted in ICU. Further, there is a need to generate more evidence to explore the impact of determinants and treatment-associated costs on the HRQoL. [ABSTRACT FROM AUTHOR]

Background: Chronic conditions reduce the likelihood of physical functioning among older adults. However, the contribution of most prevalent diseases and multimorbidity to different measures of functional limitations is relatively underexplored among Indian older adults. The present study explores the prospective association between number of chronic conditions and limitations in activities of daily living (ADL) and instrumental activities of daily living (IADL) among older adults in India.Methods: This study utilized data from the nationally representative Longitudinal Ageing Study in India (LASI-2017-18). The effective sample size was 31,464 older adults aged 60 years and above. Descriptive statistics along with cross-tabulation were presented in the study. Additionally, binary logistic regression analysis was used to fulfil the objectives. The outcome variables were dichotomized; high representing no difficulty in ADL/IADL and low representing a difficulty in at least one ADL/IADL. The chronic conditions included hypertension, diabetes, neurological/psychiatric disease, lung disease, heart diseases, stroke, and bone-related disease. The number of chronic diseases was categorized into no disease, single, two and three plus based on number of reported disease.Results: 26.36% of older women and 20.87% of older men had low ADL and the figures for low IADL were 56.86 and 38.84% for older men and women respectively. The likelihood of low ADL (AOR: 1.698, CI:1.544, 1.868) and low IADL (AOR: 1.197; CI: 1.064, 1.346) was higher among womenthan men. With increasing age, the prevalence of low ADL increased among older adults. Respondents with pre-existing chronic conditions had higher likelihood of low ADL and IADL. Older adults with hypertension, psychiatric disease, heart disease, stroke and bone-related disease had significantly higher odds of reporting low IADL. The chances of low ADL and IADL were 2.156 (CI: 1.709, 2.719) and 2.892 (CI: 2.067, 4.047) times respectively higher among older adults with more than three chronic conditions. After controlling for socio-economic and health-related covariates, it was found that men with more than three pre-existing chronic conditions had higher odds of low ADL than women. On the other hand, low IADL were found higher among women with more than three pre-existing chronic conditions.Conclusions: The present study demonstrates a significant burden of functional limitations among older individuals and that there is a strong association between pre-existing chronic conditions and functional disability. Those with hypertension, diabetes, psychiatric disorders, heart disease, stroke, lung disease or bone-related diseases should be effectively monitored to predict future functional limitations, which may lead to worsening health. [ABSTRACT FROM AUTHOR]

Objectives: Emergency department (ED) length of stay (LOS) is defined as the time a patient is registered to the time the patient is shifted to a hospital bed or discharged. Increasing demand for quality emergency care has resulted in increased wait times due to demand and supply mismatch. It is perceived that longer LOS in the ED of critical patients leads to poor outcomes. Our goal was to study the impact of LOS in the ED on the patients who required critical care admissions. Methods: This was a retrospective study conducted in the ED of a tertiary center. Data were collected using electronic health records (EHR) for patients admitted to the intensive care units (ICUs). Patient's LOS in ED was divided into 0--4, 4--8, 8--12, 12--24, and >24 hours. ED LOS was calculated from the registration time to the time patient was handed over in the ICU. Patients were divided into four categories (1--4) based on their criticality. LOS in ED, mortality, and total hospital LOS were analyzed in the study. Results: Three thousand four hundred and twenty-nine patients were enrolled in the study. Mean age was 62.69 years (95% CI 62.11--63.26). A total of 42.09% (95% CI 40.5--43.8) were Category 1 patients. Overall mortality rate was 52.46% (95% CI 50.79--54.13). LOS of 48.15% (95% CI 46.54--49.88) patients in the ED was between 0 and 4 hours, 19.90% (95% CI 18.62--21.29) between 4 and 8 hours, 8.21% (95% CI 7.35--9.19) between 8 and 12 hours, 15.50% (95% CI 14.34--16.77) between 12 and 24 hours, and 8.13% (95% CI 7.27--9.10) >24 hours. Mortality for LOS of 0--4 hours was 51.30% (95% CI 48.89--53.70), 54.03% (95% CI 50.28--57.73) for 4--8 hours, 48.94% (95% CI 43.16--54.75) for 8--12 hours, 51.50% (95% CI 47.26--55.72) for 12--24 hours, and 60.57% (95% CI 54.73--66.13) for >24 hours. Conclusion: We concluded that the longer the critically ill patients are boarded in the ED, the higher is the chance for mortality. Processes should be implemented to ease the throughput from the ED. [ABSTRACT FROM AUTHOR]

Background: Disability evaluation as per World Health Organization includes assessment of impairments, activity limitations, and participation restriction, which unfortunately is not assessed by the existing guidelines of disability in India.Aim: The aim of this study wasto comparea new study criterion with the existing guidelines for assessing cognitive disability for chronic neurological conditions.Methodology: A cross-sectional pilot study was conducted on 41 participants. They were assessed on an existing guideline (Gazette India 200,1 assessing physical domain and Intelligence Quotient[IQ]) and study criterion assessing three aspects of cognitive capacity: IQ, neurocognitive functioning, and QOL.Results: The existing guideline underestimated 84% of cases for disability. The average percentage of disability measured by the study criterion was 33.2% more as compared to existing guidelines with S.D of 26.6.Conclusion: Cognitive capacity assessment is an important element to be measured in chronic neurological disability certification. However, a large sample is required to make an affirmative claim for the same. [ABSTRACT FROM AUTHOR]

Background: Multimorbidity is rising in low- and middle-income countries (LMICs). However, the evidence on its epidemiology from LMICs settings is limited and the available literature has not been synthesized as yet. Objectives: To review the available evidence on the epidemiology of multimorbidity in LMICs. Methods: PubMed, Scopus, PsycINFO and Grey literature databases were searched. We followed the PRISMA-ScR reporting guideline. Results: Of 33, 110 articles retrieved, 76 studies were eligible for the epidemiology of multimorbidity. Of these 76 studies, 66 (86.8%) were individual country studies. Fifty-two (78.8%) of which were confined to only six middle-income countries: Brazil, China, South Africa, India, Mexico and Iran. The majority (n = 68, 89.5%) of the studies were crosssectional in nature. The sample size varied from 103 to 242, 952. The largest proportion (n = 33, 43.4%) of the studies enrolled adults. Marked variations existed in defining and measuring multimorbidity. The prevalence of multimorbidity in LMICs ranged from 3.2% to 90.5%. Conclusion and Recommendations: Studies on the epidemiology of multimorbidity in LMICs are limited and the available ones are concentrated in few countries. Despite variations in measurement and definition, studies consistently reported high prevalence of multimorbidity. Further research is urgently required to better understand the epidemiology of multimorbidity and define the best possible interventions to improve outcomes of patients with multimorbidity in LMICs. [ABSTRACT FROM AUTHOR]

The global pandemic involving severe acute respiratory syndrome–coronavirus-2 has brought new challenges to clinical practice and care in the provision of palliative care. This position statement of the Indian Association of Palliative Care (IAPC) represents the collective opinion of the experts chosen by the society and reports on the current situation based on recent scientific evidence. It purports to guide all health-care professionals caring for coronavirus disease 2019 (COVID-19) patients and recommends palliative care principles into government decisions and policies. The statement provides recommendations for palliative care for both adults and children with severe COVID-19 illness, cancer, and chronic end-stage organ impairment in the hospital, hospice, and home setting. Holistic care incorporating physical, psychological, social, and spiritual support for patients and their families together with recommendations on the rational use of personal protective equipment has been discussed in brief. Detailed information can be accessed freely from the website of the IAPC http://www.palliativecare.in/. We hope that this position statement will serve as a guiding light in these uncertain times. [ABSTRACT FROM AUTHOR]

Background: Multimorbidity in primary care is a challenge not only for developing countries but also for low and medium income countries (LMIC). Health services in LMIC countries are being provided by both public and private health care providers. However, a critical knowledge gap exists on understanding the true extent of multimorbidity in both types of primary care settings. Methods: We undertook a study to identify multimorbidity prevalence and healthcare utilization among both public and private primary care attendees in Odisha state of India. A total of 1649 patients attending 40 primary care facilities were interviewed using a structured multimorbidity assessment questionnaire collecting information on 22 chronic diseases, medication use, number of hospitalization and number of outpatient visits. Result: The overall prevalence of multimorbidity was 28.3% and nearly one third of patients of public facilities and one fourth from private facilities had multimorbidity. Leading diseases among patients visiting public facilities included acid peptic diseases, arthritis and chronic back pain. No significant difference in reporting of hypertension and diabetes across the facilities was seen. Besides age, predictors of multimorbidity among patients attending public facilities were, females [AOR: 1.6; 95% CI 1.1–1.3] and non-aboriginal groups [AOR: 1.6; 95%CI 1.1–2.3] whereas, in private females [AOR: 1.6; 95%CI 1.1–2.4], better socioeconomic conditions [AOR 1.4; 95% CI 1.0–2.1] and higher educational status [primary school completed [AOR 2.6; 95%CI 1.6–4.2] and secondary schooling and above [AOR 2.0; 95%CI 1.1–3.6] with reference to no education were seen to be the determinants of multimorbidity. Increased number of hospital visits to public facilities were higher among lower educational status patients [IRR: 1.57; 95% CI 1.13–2.18] whereas, among private patients, the mean number of hospital visits was 1.70 times more in higher educational status [IRR: 1.70; 95%CI 1.01–3.69]. The mean number of medicines taken per day was higher among patients attending private hospitals. Conclusion: Our findings suggest that, multimorbidity is being more reported in public primary care facilities. The pattern and health care utilization in both types of settings are different. A comprehensive care approach must be designed for private care providers. [ABSTRACT FROM AUTHOR]

Background: Our earlier Google Trend (GT) Analytics study reported that the worldwide human population severely subject to four seasonal (sensitive) comorbid lifestyle diseases (SCLD) such as asthma, obesity, hypertension and fibrosis. The human population subject to seasonal variability in these four diseases activity referred as "severe seasonal sensitive population". In India, the estimated burden of these four seasonal diseases is more than 350 million as on the year 2018. It is a growing crisis for India with a projected disease burden of 500 million in the year 2025. This study was aimed to decipher the genuine SCLD seasonal trends in the entire Indian population using GT and validate these trends in Indian climatic zones.Methods: GT is used to study the temporal trends in web search using weekly Relative Search Volume (RSV) for the period 2004 to 2017. The relative search volume (RSV) of the four-severe seasonal comorbid diseases namely Asthma, Hypertension, Obesity and Fibrosis were collected with and without obesity as the reference. The RSV were collected using the GT selection options as (i) Whole India (ii) Jammu and Kashmir (Cold zone) (iii) Rajasthan (Hot and Dry zone) (iii) West Bengal (Hot and Humid zone) and (iv) Uttar Pradesh state (Composite zone). The time series analysis was carried out to find seasonal patterns, comorbidity, trends and periodicity in the entire India and four of its states (zones).Results: Our analysis of entire India (2004-2017) revealed high significant seasonal patterns and comorbidity in all the four diseases of SCLD. The positive tau values indicated strong positive seasonal trends in the SCLD throughout the period (Table). The auto correlation analysis revealed that these diseases were subjected to 3, 4 and 6 months period seasonal variations. Similar seasonal patterns and trends were also observed in all the four Indian temperature zones. Overall study indicated that SCLD seasonal search patterns and trends are highly conserved in India even in drastic Indian climatic zones.Conclusions: The clinical outcome arise out of these observations could be of immense significance in handling the major chronic life style diseases asthma, hypertension, obesity and fibrosis. The possible strong comorbid relationship among asthma, hypertension, obesity and fibrosis may be useful to segregate Indian seasonal sensitive population. In disease activity-based chronotherapy, the search interest of segment of the population with access to Internet may be used as an indicator for public health sectors in the early detection of SCLD from a specific country or a region. As this disease population could be highly subject to the adverse effect of seasons in addition to life style and other environmental factors. Our study necessitates that these Indian populations need special attention from the Indian health care sectors. [ABSTRACT FROM AUTHOR]

Background: The burden of non-communicable diseases (NCDs) is rising rapidly in middle-income countries (MICs), where NCDs are often undiagnosed, untreated and uncontrolled. How comorbidity impacts diagnosis, treatment, and control of NCDs is an emerging area of research inquiry and have important clinical implications as highlighted in the recent National Institute for Health and Care Excellence guidelines for treating patients suffering from multiple NCDs. This is the first study to examine the association between increasing numbers of comorbidities with being undiagnosed, untreated, and uncontrolled for NCDs, in 6 large MICs.Methods: Cross-sectional analysis of the World Health Organisation Study of Global Ageing and Adult Health (WHO SAGE) Wave 1 (2007-10), which consisted of adults aged ≥18 years from 6 populous MICs, including China, Ghana, India, Mexico, Russia and South Africa (overall n = 41, 557).Results: A higher number of comorbidities was associated with better odds of diagnosis for hypertension, angina, and arthritis, and higher odds of having treatment for hypertension and angina. However, more comorbidities were associated with increased odds of uncontrolled hypertension, angina, arthritis, and asthma. Comorbidity with concordant conditions was associated with improved diagnosis and treatment of hypertension and angina.Conclusion: Patients with more comorbidities have better diagnosis of chronic conditions, but this does not translate into better management and control of these conditions. Patients with multiple NCDs are high users of health services and are at an increased risk of adverse health outcomes. Hence, improving their access to care is a priority for healthcare systems. [ABSTRACT FROM AUTHOR]

Introduction: Cirrhosis of liver is defined anatomically as a diffuse process with nodule formation and fibrosis. Cirrhosis can remain as a silent disease until decompensation occurs. The clinical features are the result of the pathological changes and they mirror the severity of the liver disease and they are the same irrespective of the cause. Decompensated disease can result in complications such as as cites, spontaneous bacterial peritonitis, hepatic encephalopathy and variceal bleeding from portal hypertension. Data regarding the aetiology and the spectrum of clinical manifestations and complications of cirrhosis of liver is lacking from the North-East, India. Against this background, this present study was conducted. Aim: To determine the clinical spectrum of patients with chronic liver disease with reference to its aetiology, clinical manifestations, complications and causes of death in Gauhati Medical College and Hospital. Materials and Methods: The cross-sectional study was carried out with 200 enrolled chronic liver disease patients. A detailed history, clinical examination and a structured questionnaire were used to collect the data. Haematological, biochemical, radiological as well as endoscopic investigations were performed to evaluate various complications and manifestations. Data was analysed and expressed as percentage. Results: Alcohol was the most common aetiological factor for cirrhosis in 62.5% patients followed by Hepatitis B in 11%, Non Alcoholic Steato Hepatitis (NASH) in 9% and Hepatitis C in 3.5%. After performing the necessary investigations, the various complications of cirrhosis were coagulopathy in 83%, gastroesophagealvarix/portal hypertensive gastropathy in 81%, ascites in 64%, hepatic encephalopathy in 51%, hypersplenism in 24%, hyponatremia in 17.18%, spontaneous bacterial peritonitis in 12.5%, hepatorenal syndrome in 4% and hepatocellular carcinoma in 2.5%. Ascitic fluid culture was positive in 9.3% patients with ascites, the most common organism grown in culture was E. Coli. 52.5% of the patients had Child Pugh C cirrhosis and 13% died during hospital stay. The most common cause of death was worsening hepatic encephalopathy in 50% followed by UGI bleed and sepsis. Conclusion: Chronic liver disease proves to be fatal if allowed to decompensate. Therefore, the best option is to prevent it or to control it at the earliest. [ABSTRACT FROM AUTHOR]

Background: The burden of disability and chronic morbidity among the elderly has been increasing substantially in India in recent years. Yet, the use of nationally representative data to investigate the relationship between chronic morbidity and reported disability in the country has been minimal. The objective of this study is twofold: i) to quantify the association between chronic morbidities and overall disabilities in the activities of daily living (ADLs) among elderly people in India, and ii) to understand how various chronic morbidities influence individual ADLs, specifically, walking, toileting and dressing.Methods: We used data from the India Human Development Survey-II (IHDS-II) as a basis for this study. We computed the Katz Index of independence in ADL to examine the burden of disability among the elderly. Ordered logistic regression was carried out to examine the effect of chronic morbidities on: i) the disability index (where 0 = no disability; 1 = disability in 1 or 2 ADLs; and 2 = disability in 3 ADLs), and ii) disabilities in three ADLs in the population over-60 years of age in India.Results: The percentage of people scoring lower Katz index (indicating severe and mild disability) in at least one of the three ADLs is very high in India (17.91% for males and 26.21% for females). Irrespective of the type of ADL, the Katz score is lower in elderly females than in elderly males. Elderly people who are illiterate and belong to the poorest wealth quintile report lower Katz scores in ADL. Both bivariate and multivariate analyses confirm that all three types of chronic morbidities are positively and significantly associated with a disability condition in the ADLs. Yet, the effects of morbidities vary greatly according to the type of disability. For instance, while diabetes affect walking (OR: 2.56; 95% CI: 2.29-2.86), and toileting (OR: 2.63; 95% CI: 2.26-3.07), high blood pressure mainly affects walking (OR: 2.29, 95% CI: 2.09-2.5) and dressing disabilities (OR: 2.13, 95% CI: 1.84-2.46).Conclusions: Chronic morbidity is a decisive factor in old age disability. It is crucial to reduce chronic morbidity in a timely way to minimise the enormous associated burden of disability. [ABSTRACT FROM AUTHOR]

Abstract: Despite the importance of the nutritional status and food systems of Indigenous Peoples, the subject has received very little attention, especially in North‐East India. Therefore, a community‐based cross‐sectional descriptive study was carried out among Chakhesang mothers with children under 5 years of age to evaluate their nutritional status and prevalence of chronic diseases in the context of their dietary habits. From 558 households (HHs), 661 children and 540 mothers were covered using standard anthropometric measurements as well as blood collection for haemoglobin and vitamin A. Data were collected from mothers on HH socio‐demographic particulars and infant and young child feeding practices. The results showed that the prevalence of underweight, stunting, and wasting among children <5 years of age was 14%, 22%, and 7%, respectively. The prevalence of anaemia and vitamin A deficiency was 26% and 33% among children <5 years, whereas it was 33% and 26%, respectively, among mothers. Hypertension was observed in 16% of women, whereas diabetes was seen in 0.8%. Approximately 35% and 24% of HHs suffered mild or moderate food insecurity, respectively, which was associated with literacy of the parents, per capita income, and family size. Utilization of the rich agrobiodiversity and wild foods by the Chakhesangs appears to be a strong reason for their better nutritional and health status as compared to the rest of India. Therefore, this Indigenous knowledge and food system must be documented and kept vital, especially in policies and intervention programmes addressing food and nutrition security among the Chakhesangs. [ABSTRACT FROM AUTHOR]

Abstract: A community‐based cross‐sectional study was carried out with 603 children ages 5 and under and 500 of their mothers from 510 households to examine the prevalence of undernutrition and chronic diseases among the Khasis of North‐East India. Anthropometric measurements including Mid‐Upper Arm Circumference, height, and weight were taken. Dry blood spots to estimate haemoglobin and vitamin A were collected from children and women separately by finger prick. Mothers provided data about household socio‐demographic particulars and infant and young child feeding practices. The prevalence in children of underweight was 31%, stunting was 57%, and wasting was 10%. Undernutrition was higher among boys as compared to girls. Nutrient intakes were below recommended levels. The prevalence of anaemia among children ages 1 to 5 years old was 68%, and vitamin A deficiency was 59%, and they were 83% and 48%, respectively, among women. Hypertension was observed in 15% of women, whereas diabetes was less than 1%. Only about 20% of households were food secure, and this was associated with parental literacy, per capita income, and family size. Undernutrition was unacceptably high among the Khasis despite rich food biodiversity. Proper implementation of nutritional intervention programs such as Integrated Child Development Services, Mid Day Meal, and the Public Distribution System will improve the nutrient intake and nutritional status of the population. Additionally, preservation of forest lands and products paired with judicious use of the rich food biodiversity available will promote dietary diversity and ultimately better nutrition and health. [ABSTRACT FROM AUTHOR]

The growing epidemic of noncommunicable diseases (NCDs) has impacted the national health systems, policies, and socioeconomic developments, thereby leading to increasing country level disparities. Despite substantial improvements in health indicators made in the past decade, the Indian health-care system continues to contribute disproportionately to the global disease burden, wherein NCDs holds significant prominence. Against this background, the present review analyzes the current NCD landscape from the perspective of India's health system preparedness toward meeting this growing challenge. Implementation and delivery of strategies and interventions are often impeded by existing grass root level challenges. Recognizing the importance of effective primary care, the review highlights the importance of implementing affordable, accessible, and comprehensive interventions, and delivering them at societal, a community and individual level. This simultaneously calls for strengthening of the primary care system through appropriate strategy and policy frameworks. Toward addressing India-specific needs in NCD prevention and management, concerted efforts on development of robust surveillance mechanisms, intersectoral and interdepartmental collaborations, integration of national programs, enhanced role of education and awareness should be made, to ensure effectivity, scale-up, and outreach of services in primary care. [ABSTRACT FROM AUTHOR]

Background: The household is a potentially important but understudied unit of analysis and intervention in chronic disease research. We sought to estimate the association between living with someone with a chronic condition and one's own chronic condition status.Methods and Findings: We conducted a cross-sectional analysis of population-based household- and individual-level data collected in 4 socioculturally and geographically diverse settings across rural and urban India in 2013 and 2014. Of 10,703 adults ages 18 years and older with coresiding household members surveyed, data from 7,522 adults (mean age 39 years) in 2,574 households with complete covariate information were analyzed. The main outcome measures were diabetes (fasting plasma glucose ≥ 126 mg/dL or taking medication), common mental disorder (General Health Questionnaire score ≥ 12), hypertension (blood pressure ≥ 140/90 mmHg or taking medication), obesity (body mass index ≥ 30 kg/m2), and high cholesterol (total blood cholesterol ≥ 240 mg/dL or taking medication). Logistic regression with generalized estimating equations was used to model associations with adjustment for a participant's age, sex, education, marital status, religion, and study site. Inverse probability weighting was applied to account for missing data. We found that 44% of adults had 1 or more of the chronic conditions examined. Irrespective of familial relationship, adults who resided with another adult with any chronic condition had 29% higher adjusted relative odds of having 1 or more chronic conditions themselves (adjusted odds ratio [aOR] = 1.29; 95% confidence interval [95% CI] 1.10-1.50). We also observed positive statistically significant associations of diabetes, common mental disorder, and hypertension with any chronic condition (aORs ranging from 1.19 to 1.61) in the analysis of all coresiding household members. Associations, however, were stronger for concordance of certain chronic conditions among coresiding household members. Specifically, we observed positive statistically significant associations between living with another adult with diabetes (aOR = 1.60; 95% CI 1.23-2.07), common mental disorder (aOR = 2.69; 95% CI 2.12-3.42), or obesity (aOR = 1.82; 95% CI 1.33-2.50) and having the same condition. Among separate analyses of dyads of parents and their adult children and dyads of spouses, the concordance between the chronic disease status was striking. The associations between common mental disorder, hypertension, obesity, and high cholesterol in parents and those same conditions in their adult children were aOR = 2.20 (95% CI 1.28-3.77), 1.58 (95% CI 1.15-2.16), 4.99 (95% CI 2.71-9.20), and 2.57 (95% CI 1.15-5.73), respectively. The associations between diabetes and common mental disorder in husbands and those same conditions in their wives were aORs = 2.28 (95% CI 1.52-3.42) and 3.01 (95% CI 2.01-4.52), respectively. Relative odds were raised even across different chronic condition phenotypes; specifically, we observed positive statistically significant associations between hypertension and obesity in the total sample of all coresiding adults (aOR = 1.24; 95% CI 1.02-1.52), high cholesterol and diabetes in the adult-parent sample (aOR = 2.02; 95% CI 1.08-3.78), and hypertension and diabetes in the spousal sample (aOR = 1.51; 95% CI 1.05-2.17). Of all associations examined, only the relationship between hypertension and diabetes in the adult-parent dyads was statistically significantly negative (aOR = 0.62; 95% CI 0.40-0.94). Relatively small samples in the dyadic analysis and site-specific analysis call for caution in interpreting qualitative differences between associations among different dyad types and geographical locations. Because of the cross-sectional nature of the analysis, the findings do not provide information on the etiology of incident chronic conditions among household members.Conclusions: We observed strong concordance of chronic conditions within coresiding adults across diverse settings in India. These data provide early evidence that a household-based approach to chronic disease research may advance public health strategies to prevent and control chronic conditions.Trial Registration: Clinical Trials Registry India CTRI/2013/10/004049; http://ctri.nic.in/Clinicaltrials/login.php. [ABSTRACT FROM AUTHOR]

Background: China and India are the world's two most populous countries. Although their populations are growing in number and life expectancies are extending they have different trajectories of economic growth, epidemiological transition and social change. Cross-country comparisons can allow national and global insights and provide evidence for policy and decision-making. The aim of this study is to measure and compare disability in men and women, and in urban and rural dwellers in China and India, and assess the extent to which social and other factors contribute to the inequalities.Methods: National samples of adults aged 50 to 79 years in China (n = 11,694) and India (n = 6187) from the World Health Organization (WHO) longitudinal Study on global AGEing and adult health (SAGE) Wave 1 were analysed. Stratified multiple linear regressions were undertaken to assess disability differences by sex and residence, controlling for other biological and socioeconomic determinants of disability. Oaxaca-Blinder decomposition partitioned the two-group inequalities into explained and unexplained components.Results: In both countries women and rural residents reported more disability. In India, the gender inequality is attributed to the distribution of the determinants (employment, education and chronic conditions) but in China about half the inequality is attributed to the same. In India, more than half of the urban rural inequality is attributed to the distribution of the determinants (education, household wealth) compared with under 20% in China.Conclusions: Education and employment were important drivers of these measured inequalities. Overall inequalities in disability among older adults in China and India were shaped by gender and residence, suggesting the need for policies that target women and rural residents. There is a need for further research, using both qualitative and quantitative methods, to question and challenge entrenched practices and institutions and grasp the implications of global economic and social changes that are impacting on population health and ageing in China and India. [ABSTRACT FROM AUTHOR]

Background: India has the distinction of financing its healthcare mainly through out-of-pocket expenses by individual families contributing to catastrophic health expenditure and impoverishment. Nearly 70 % of the expenditure is on medicines purchased at private pharmacies. Patients with chronic ailments are especially affected, as they often need lifelong medicines. Over the past years in India, there have been several efforts to improve drug availability at government primary health centres. In this study, we aim to understand health system factors that affect utilisation and access to generic medicines for people with non-communicable diseases.Methods: This study aims to understand if (and how) a package of interventions targeting primary health centres and community participation platforms affect utilisation and access to generic medicines for people with non-communicable diseases in the current district context in India. This study will employ a quasi-experimental design and a qualitative theory-driven approach. PHCs will be randomly assigned to one of three arms of the intervention. In one arm, PHCs will receive inputs to optimise service delivery for non-communicable diseases, while the second arm will receive an additional package of interventions to strengthen community participation platforms for improving non-communicable disease care. The third arm will be the control. We will conduct household and facility surveys, before and after the intervention and will estimate the effect of the intervention by difference-in-difference analysis. Sample size for measuring effects was calculated based on obtaining at least 30 households for each primary health centre spread across three distance-based clusters. Primary outcomes include availability and utilisation of medicines at primary health centres and out-of-pocket expenditure for medicines by non-communicable disease households. Focus group discussions with patients and in-depth interviews with health workers will also be conducted. Qualitative and process documentation data will be used to explain how the intervention could have worked.Discussion: By taking into consideration several health system building blocks and trying to understand how they interact, our study aims to generate evidence for health planners on how to optimise health services to improve access to medicines.Trial Registration: Protocol registered on Clinical Trials Registry of India with registration identifier number CTRI/2015/03/005640 on 17(th) March 2015. [ABSTRACT FROM AUTHOR]

Background: With an estimated 65 million Diabetes Mellitus (DM) patients, India ranks second in the world in terms of DM burden. The emphasis of current medical practice has been on pharmacotherapy but, despite the best combination therapies, acheiving glycaemic control (reduction of blood sugar to desirable levels) is a challenge. 'Integrated Naturopathy and Yoga'(INY) is an alternative system of medicine that lays emphasis on the role of diet and physical exercise. We assessed the short term effect of INY as an adjunct to pharmacotherapy on glycaemic control among type 2 DM patients. Methods: In this prospective cohort study with a 3 month follow-up, DM patients consecutively admitted to a hospital in India from May-October 2014 for either 15 or 30 days were offered INY - a package of vegetarian diet with no added oil, sugar and salt, yoga-based exercise, patient counselling and rest. A 'favourable outcome' was defined as glycaemic control (glycosylated hemoglobin (HbA1c) < 7 % or absolute reduction by 1 %) along with at least 50 % reduction in antidiabetes medication at 3 months relative to baseline. Compliance to diet was scored by self-report on a scale of 0-10 and categorized into poor (0-5), moderate (6-8) and excellent (9-10). Results: Of 101 patients with 3-month follow-up data, 65(65 %) achieved a favourable outcome - with 19(19 %) stopping medication while sustaining glycemic control. Factors associated with favourable outcome were baseline HbA1c and compliance to diet, which showed a significant linear relationship with mean HbA1c reductions of 0.4 %, 1.1 % and 1.7 % in relation to poor, moderate and excellent dietary compliance respectively. Conclusion: INY, adjunctive to pharmacotherapy, was associated with a significant beneficial effect on glycaemic control and reduced the overall need for antidiabetes medications. These early results are promising. Further studies with long-term follow-up and using more rigorous randomized controlled trial designs are needed. [ABSTRACT FROM AUTHOR]

Dietary patterns analysis is an emerging area of research. Identifying distinct patterns within a large dietary survey can give a more accurate representation of what people are eating. Furthermore, it allows researchers to analyse relationships between non-communicable diseases (NCD) and complete diets rather than individual food items or nutrients. However, few such studies have been conducted in developing countries including India, where the population has a high burden of diabetes and CVD. We undertook a systematic review of published and grey literature exploring dietary patterns and relationships with diet-related NCD in India. We identified eight studies, including eleven separate models of dietary patterns. Most dietary patterns were vegetarian with a predominance of fruit, vegetables and pulses, as well as cereals; dietary patterns based on high-fat, high-sugar foods and more meat were also identified. There was large variability between regions in dietary patterns, and there was some evidence of change in diets over time, although no evidence of different diets by sex or age was found. Consumers of high-fat dietary patterns were more likely to have greater BMI, and a dietary pattern high in sweets and snacks was associated with greater risk of diabetes compared with a traditional diet high in rice and pulses, but other relationships with NCD risk factors were less clear. This review shows that dietary pattern analyses can be highly valuable in assessing variability in national diets and diet-disease relationships. However, to date, most studies in India are limited by data and methodological shortcomings. [ABSTRACT FROM AUTHOR]