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Rural population-based estimates of airflow obstruction based on spirometry are unavailable from southern India. This study assessed the prevalence of spirometry-defined airflow obstruction in Vellore, Tamil Nadu.A cross sectional survey was done in nine villages, among adults aged ≥30 years, where previous cardiovascular surveys had been conducted (1994, 2011). Population proportional to size sampling was used to select 20 clusters, with sampling from all streets proportional to the number of households. One person randomly selected per household was interviewed for symptoms and risk factors. A respiratory therapist performed pre and post bronchodilator spirometry on all, following American Thoracic Society criteria. Airflow obstruction was defined as pre-bronchodilator Forced Expiratory Volume 1 s/Forced Vital Capacity (FEV1/FVC) Lower Limit of Normal (LLN, derived from local prediction equations) and compared to other criteria.Of 1015 participants, 787 completed technically acceptable spirometry. The prevalence of airflow obstruction was 9.0% (95% CI: 5.8%-9.6%, 71). Fixed obstruction (post bronchodilator FEV1/FVC LLN) was 4.6% (95% CI: 3.1%-6.1%, 36), and 4.1% (95% CI: 2.7%-5.5%, 32) using post bronchodilator FEV1/FVC 70%. The GOLD criteria missed 56% (40) of those with airflow obstruction, of which 87.5% were females. Although 63.4% with airflow obstruction had moderate to severe disease, 82.2% were not on treatment and only 48.9% reported symptoms in the previous year.This study estimates prevalence of airflow obstruction based on spirometry in rural southern India. Despite significant impairment on spirometry, majority were undiagnosed, and half did not report symptoms.

This research provides a single explanation for: (i) the persistence of malnutrition and (ii) the increased prevalence of metabolic disease (diabetes, hypertension, cardiovascular disease) among normal weight individuals with economic development. Our model is based on a set point for BMI or bodyweight that is adapted to conditions of scarcity in the pre-modern economy, but which subsequently fails to adjust to rapid economic change. During the process of development, some individuals thus remain at their low-BMI set point, despite the increase in their consumption, while others who have escaped the nutrition trap (but are not necessarily overweight) are at increased risk of metabolic disease. The model and the underlying biological mechanism, which are validated with micro-data from India, Indonesia and Ghana can jointly explain inter-regional (Asia-Africa) differences in nutritional status and the prevalence of diabetes.

Lean diabetes is an entity that has been observed to be higher in Asian populations. The estimates of the burden of lean diabetes in India are mainly from hospital-based studies. This study reports the prevalence of lean diabetes among individuals with newly detected diabetes, from Vellore, Tamil Nadu, South India. A cross-sectional WHO STEPS survey was conducted among adults aged 30–64 years, in one rural block and 48 urban wards, in Vellore. Physical and anthropometric parameters were assessed in addition to fasting lipid profile and plasma glucose. Newly detected diabetes was defined as fasting plasma glucose ≥ 126 mg/dl and lean diabetes as non-ketotic diabetes mellitus, without clinical features to suggest pancreatic diabetes, with a body mass index (BMI)

Background: Stigma is an important factor that determines whether individuals seek treatment for mental illnesses. Studies assessing public perceptions regarding mental illnesses are scarce in India. This study documents the stigma perceived by a rural population toward patients with mental illness and their families. Materials and Methods: A cross-sectional pilot study was done in five villages, selected by simple random sampling, from a rural block in Vellore, Tamil Nadu. Households in each village were selected by systematic random sampling. From the selected households, 150 subjects aged 18–65 years, without known mental disorders, were chosen by convenience sampling, based on availability. Stigma was assessed using the Devaluation of Consumers Scale (DCS) and Devaluation of Consumer's Families Scale (DCFS). Results: The proportion with high perceptions of stigma associated with mentally ill persons was 63.8%, among the 150 interviewed rural respondents (women: 112, median age: 37 years). The proportion which perceived that there was public stigma toward families of those with mental illnesses was 43.4%. Older respondents (>37 years) had higher perceptions of stigma (odds ratio: 2.07; 95% confidence interval: 1.02–4.20) than others. Conclusion: The high perception of stigma associated with persons who are mentally ill as well as their families needs to be kept in mind while planning interventions to decrease the treatment gap for psychiatric morbidity, especially in rural areas.

Background The Achutha Menon Centre Diabetes Risk Score (AMCDRS), which was developed in rural Kerala State, South India, had not previously been externally validated. We examined the performance of the AMCDRS in urban and rural areas in the district of Vellore in the South Indian state of Tamil Nadu, and compared it with other diabetes risk scores developed from India. Methods We used the data from 4,896 participants (30 to 64 years) of a cross-sectional study conducted in Vellore (2010 to 2012), to calculate the AMCDRS scores using age, family history, and waist circumference. Sensitivity, specificity, positive predictive value (PPV), and negative predictive values (NPV), and the area under the receiver operating characteristic curve (AROC) were calculated for undiagnosed and total diabetes. Results Of the 4,896 individuals surveyed, 274 (5.6%) had undiagnosed diabetes and 759 (15.5%) had total diabetes. The AMCDRS, with an optimum cut-point of ≥4, identified 45.0% for further testing with 59.5% sensitivity, 60.5% specificity, 9.1% PPV, 95.8% NPV, and an AROC of 0.639 (95% confidence interval [CI], 0.608 to 0.670) for undiagnosed diabetes. The corresponding figures for total diabetes were 75.1%, 60.5%, 25.9%, 93.0%, and 0.731 (95% CI, 0.713 to 0.750), respectively. The AROC for the AMCDRS was not significantly different from that of the Indian Diabetes Risk Score, the Ramachandran or the Chaturvedi risk scores for total diabetes, but was significantly lower than the AROC of the Chaturvedi score for undiagnosed diabetes. Conclusion The AMCDRS is a simple diabetes risk score that can be used to screen for undiagnosed and total diabetes in low-resource primary care settings in India. However, it probably requires recalibration to improve its performance for undiagnosed diabetes.

Background: Early detection of breast and cervical cancer by organized screening has been found to reduce mortality rates in trials, but documentation of programme results and challenges is rarely done from non-trial settings. This study reports results of a population-based cancer control programme in a rural block in Vellore, Tamil Nadu, population size (116,085), targeting a population of 18,490 women aged 25–60 years, between November 2014 and March 2018. Methods: Village-based health education sessions were conducted by social workers, using trained volunteers and health workers to motivate eligible women. Screening was done at a secondary level hospital, by trained general physicians using visual inspection with acetic acid and clinical breast examination, followed by colposcopy, radiological imaging (breast) and biopsy as required. Results: A total of 8 volunteers and 17 health workers motivated women for 93 health education and screening sessions, in 46 out of 82 villages. While 1,890/18,490 (10.2 per cent) were screened for breast cancer, 1,783 (9.6 per cent) were screened for cervical cancer, with a yield of 3.4/1,000 for cervical pre-cancer/cancer. The main challenges were creating time for screening activities in a busy secondary hospital and difficulty in ensuring treatment completion of screen-detected cases. Conclusions: Population-based cancer screening programs can be offered by secondary hospitals that also run primary care services, to increase screening rates. Clear referral systems need to be established, bearing in mind that social factors, especially poor family support, may pose a threat to treatment, in spite of easy availability of cure.

BackgroundMalnutrition among children is one of the most pressing health concerns middle- and low-income countries face today, particularly those in Sub-Saharan Africa and South Asia. Early-life malnutrition has been shown to affect long-term health and income. One hypothesized channel linking early-life malnutrition and long-term outcomes is cognitive development. However, there is limited empirical evidence on the relationship between nutritional status and cognitive achievement in middle childhood.Study designAs part of the South India Community Health Study (SICHS), we collected educational attainment and anthropometric data from 1,194 children in rural Vellore district of Tamil Nadu, India, and assessed their math and reading skills. We analyzed the relationship between continuous and binary anthropometric measures of nutritional status and three measures of cognitive achievement (reading, math, and grade level), adjusting for potential confounders, using a regression framework.ResultsLower height-for-age and weight-for-age and their corresponding binary measures (stunting, underweight) were associated with lower reading scores, lower math scores, and lower grade level, with the exception of the association between weight-for-age and reading, which was marginally significant. A stunted child had one-third of a grade disadvantage compared to a non-stunted counterpart, whereas an underweight child had one-fourth of a grade disadvantage compared to a non-underweight counterpart. Lower BMI-for-age was associated with grade level and marginally associated with lower math scores, and its binary measure (thinness) was marginally associated with lower math scores.ConclusionsAcute and chronic malnutrition in middle childhood were negatively associated with math scores, reading scores, and educational attainment. Our study provides new evidence that cognitive achievement during middle childhood could be an important mechanism underlying the association between early-life malnutrition and long-term wellbeing.

Background: Chronic periodontitis is a common cause of poor oral health globally. Those at higher risk of this preventable and easily treatable condition need to be identified so that efforts can be taken to decrease disease burden and subsequent consequences. Aims: The aims of the study were (1) To compare the prevalence of chronic periodontitis among individuals with and without type 2 diabetes, aged 35–65 years from a rural block in Vellore, Tamil Nadu and (2) to assess risk factors for chronic periodontitis among individuals with diabetes. Settings and Design: A cross-sectional study was done in nine villages of Kaniyambadi block, Vellore, between October 2015 and July 2016 among participants aged 35–65 years of a previous cross-sectional survey which had identified individuals with and without type 2 diabetes. Materials and Methods: Chronic periodontitis was assessed using the Community Periodontal Index and Treatment Needs index. Oral hygiene was assessed clinically using the Simplified Oral Hygiene Index. Diabetes was defined as on medication for type 2 diabetes or detected to have fasting blood glucose ≥126 mg/dl (in a previous survey). Statistical Analysis: Chi-square test and odds ratios (adjusted using logistic regression) were used to study risk factors for periodontitis among those with diabetes. Results: Prevalence of chronic periodontitis was 45.9% (95% confidence interval [CI]: 40.88%–50.9%) among 98 individuals with diabetes and 35.6% (95% CI: 30.91–40.29%) among 104 individuals without diabetes. Poor oral hygiene (odds ratio: 8.33, 95% CI: 3.33–25.00), low socioeconomic status (odds ratio: 3.19, 95% CI: 1.00–10.12), and smoking (odds ratio: 3.51, 95% CI: 1.17–10.51) were associated with periodontitis among diabetics. Conclusions: Individuals with type 2 diabetes have a higher prevalence of periodontitis. As poor oral hygiene is a strong risk factor for periodontitis, there is a need for targeted education regarding dental hygiene to reduce this preventable condition.

Background & objectives: Surveillance of risk factors is important to plan suitable control measures for non-communicable diseases (NCDs). The objective of this study was to assess the behavioural, physical and biochemical risk factors for NCDs in Vellore Corporation and Kaniyambadi, a rural block in Vellore district, Tamil Nadu, India. Methods: This cross-sectional study was carried out among 6196 adults aged 30-64 yr, with 3799 participants from rural and 2397 from urban areas. The World Health Organization-STEPS method was used to record behavioural risk factors, anthropometry, blood pressure, fasting blood glucose and lipid profile. Multiple logistic regression was used to assess associations between risk factors. Results: The proportion of tobacco users (current smoking or daily use of smokeless tobacco) was 23 per cent in the rural sample and 18 per cent in the urban, with rates of smoking being similar. Ever consumption of alcohol was 62 per cent among rural men and 42 per cent among urban men. Low physical activity was seen among 63 per cent of the urban and 43 per cent of the rural sample. Consumption of fruits and vegetables was equally poor in both. In the urban sample, 54 per cent were overweight, 29 per cent had hypertension and 24 per cent diabetes as compared to 31, 17 and 11 per cent, respectively, in the rural sample. Physical inactivity was associated with hypertension, body mass index (BMI) ≥25 kg/m[2], central obesity and dyslipidaemia after adjusting for other factors. Increasing age, male sex, BMI ≥25 kg/m[2] and central obesity were independently associated with both hypertension and diabetes. Interpretation & conclusions: Diabetes, hypertension, dyslipidaemia, physical inactivity and overweight were higher in the urban area as compared to the rural area which had higher rates of smokeless tobacco use and alcohol consumption. Smoking and inadequate consumption of fruits and vegetables were equally prevalent in both the urban and rural samples. There is an urgent need to address behavioural risk factors such as smoking, alcohol consumption, physical inactivity and inadequate intake of fruits and vegetables through primary prevention.

Introduction: Calcium is the most abundant mineral in our body with varied functions and its dietary deficiency leads to osteoporosis, besides playing a significant role in the pathogenesis of other diseases. The data regarding dietary calcium intake (DCI) among postmenopausal women in urban areas of South India is limited. Objectives: This study was aimed to assess DCI and physical activity among postmenopausal women. The risk factors for a low intake of dietary calcium were also assessed. Materials and Methods: A cross-sectional study was done among 106 postmenopausal women selected by systematic random sampling from the city of Erode, Tamil Nadu, India. DCI and physical activity were measured using validated questionnaires. Results: The mean DCI was 632.72 ± 28.23 mg/day. The proportion of women consuming less than 800 mg/day of dietary calcium was 74.5%. Only 10.4% of the women studied (11 out of 106) were on calcium supplements while 55% had low physical activity. A low knowledge score [adjusted odds ratio (OR): 5.17; 95% confidence interval (CI): 1.31-20.42] and a low socioeconomic status (SES) score of the family (adjusted OR: 4.00; 95% CI: 1.32-12.11) were significantly associated with low DCI after adjusting the age, dietary preferences, and educational and occupational statuses. Conclusions: DCI was below the Recommended Dietary Allowance (RDA) and the majority of postmenopausal women were physically inactive, indicating the need for better education regarding DCI and the need for calcium supplements and physical activity, all of which can contribute to the prevention of the consequences of osteoporosis.

Background With the increase of cardiovascular risk factors in India, the prevalence of coronary heart disease (CHD) is also expected to rise. A cross-sectional study in 2010–2012 assessed the prevalence and risk factors for CHD in urban and rural Vellore, Tamil Nadu. The secondary objectives were to compare the current prevalence with the prevalence of CHD in the same areas in 1991–1994. Methods A cross-sectional survey was carried out among adults aged 30–64 years to determine the prevalence of CHD (previously diagnosed disease, symptoms detected using Rose angina questionnaire, or ischemic changes on electrocardiography). The study used the WHO STEPS method in addition to the Rose angina questionnaire and resting electrocardiography and was conducted in nine clusters of a rural block in Vellore district and 48 wards of Vellore town. The results were compared with a similar study in the same area in 1991–1994. Results The prevalence of CHD was 3.4% (95% CI: 1.6–5.2%) among rural men, 7.4% (95% CI: 4.7–10.1%) among rural women, 7.3% (95% CI: 5.7–8.9%) among urban men, and 13.4% (95% CI: 11.2–15.6%) among urban women in 2010–2012. The age-adjusted prevalence in rural women tripled and in urban women doubled, with only a slight increase among males, between 1991–1994 and 2010–2012. Conclusions The large increase in prevalence of CHD, among both pre- and post-menopausal females, suggests the need for further confirmatory studies and interventions for prevention in both rural and urban areas.