The association between intake of fruits, vegetables, and legumes with cardiovascular disease and deaths has been investigated extensively in Europe, the USA, Japan, and China, but little or no data are available from the Middle East, South America, Africa, or south Asia. We did a prospective cohort study (Prospective Urban Rural Epidemiology [PURE] in 135 335 individuals aged 35 to 70 years without cardiovascular disease from 613 communities in 18 low-income, middle-income, and high-income countries in seven geographical regions: North America and Europe, South America, the Middle East, south Asia, China, southeast Asia, and Africa. We documented their diet using country-specific food frequency questionnaires at baseline. Standardised questionnaires were used to collect information about demographic factors, socioeconomic status (education, income, and employment), lifestyle (smoking, physical activity, and alcohol intake), health history and medication use, and family history of cardiovascular disease. The follow-up period varied based on the date when recruitment began at each site or country. The main clinical outcomes were major cardiovascular disease (defined as death from cardiovascular causes and non-fatal myocardial infarction, stroke, and heart failure), fatal and non-fatal myocardial infarction, fatal and non-fatal strokes, cardiovascular mortality, non-cardiovascular mortality, and total mortality. Cox frailty models with random effects were used to assess associations between fruit, vegetable, and legume consumption with risk of cardiovascular disease events and mortality. Participants were enrolled into the study between Jan 1, 2003, and March 31, 2013. For the current analysis, we included all unrefuted outcome events in the PURE study database through March 31, 2017. Overall, combined mean fruit, vegetable and legume intake was 3·91 (SD 2·77) servings per day. During a median 7·4 years (5·5-9·3) of follow-up, 4784 major cardiovascular disease events, 1649 cardiovascular deaths, and 5796 total deaths were documented. Higher total fruit, vegetable, and legume intake was inversely associated with major cardiovascular disease, myocardial infarction, cardiovascular mortality, non-cardiovascular mortality, and total mortality in the models adjusted for age, sex, and centre (random effect). The estimates were substantially attenuated in the multivariable adjusted models for major cardiovascular disease (hazard ratio [HR] 0·90, 95% CI 0·74-1·10, ptrend=0·1301), myocardial infarction (0·99, 0·74-1·31; ptrend=0·2033), stroke (0·92, 0·67-1·25; ptrend=0·7092), cardiovascular mortality (0·73, 0·53-1·02; ptrend=0·0568), non-cardiovascular mortality (0·84, 0·68-1·04; ptrend =0·0038), and total mortality (0·81, 0·68-0·96; ptrend<0·0001). The HR for total mortality was lowest for three to four servings per day (0·78, 95% CI 0·69-0·88) compared with the reference group, with no further apparent decrease in HR with higher consumption. When examined separately, fruit intake was associated with lower risk of cardiovascular, non-cardiovascular, and total mortality, while legume intake was inversely associated with non-cardiovascular death and total mortality (in fully adjusted models). For vegetables, raw vegetable intake was strongly associated with a lower risk of total mortality, whereas cooked vegetable intake showed a modest benefit against mortality. Higher fruit, vegetable, and legume consumption was associated with a lower risk of non-cardiovascular, and total mortality. Benefits appear to be maximum for both non-cardiovascular mortality and total mortality at three to four servings per day (equivalent to 375-500 g/day). Full funding sources listed at the end of the paper (see Acknowledgments).

Background and aim: In India, Kerala has the best health indicators, having experienced dramatic shifts in mortality and fertility. However, the mortality pattern in Kerala has not been studied. In this article, the authors analyze and report the pattern of mortality in the PROLIFE cohort (n = 161 942). Methods: Data on death were collected through regular home visits using a pretested, structured questionnaire. The data were validated by a physician. The deaths were grouped under disease categories using ICD 10. Results: Out of 4271 deaths recorded during 5 years, diseases of the circulatory system contributed 40%. Coronary heart disease was the leading cause of death in men (31.1%) and women (17.6%). Age-standardized cardiovascular disease (CVD) death rates were 490 for men and 231 for women per 100 000 person years. Conclusion: The burden of CVD deaths in this community now exceeds that of industrialized countries.

Background: Studies from Tamil Nadu, South India, have reported the world's highest suicide rates. As per official reports, Kerala, another South Indian state has the highest suicide rate among the major states in India. Objective: The purpose of this analysis is to estimate the rates and age-specific incidence of suicide in a rural community in Kerala, under continuous observation for the last five years. Settings and Design: The study setting comprised of seven contiguous panchayats constituting a development block in Kerala. A prospective cohort study design was used. Materials and Methods: Through regular home visits, every death that occurred in the community was captured by local resident health workers and the cause of death assigned. Statistical Analysis: Suicide rates by age and sex and relative share of suicide deaths to all-cause deaths in men and women were calculated. Results: During the five-year period from 2002 to 2007, 284 cases of suicide were reported. The suicide rates were 44.7/100,000 for males and 26.8/100,000 for females. Male to female suicide ratio was 1.7. Among females aged between 15 and 24, suicides constituted more than 50% of all deaths. Male to female ratio of suicide varied from 0.4 in children aged 14 years or less to 4.5 in the 45-54 year age group. Conclusion: Our analysis shows that the level of under-reporting of suicides in rural Kerala is much less than that reported in Tamil Nadu.

Objective: Potential error sources in nutrient estimation with the FFQ include inaccurate or biased recall and overestimation or underestimation of intake due to too many or too few items on the FFQ, respectively. Here we report the refinement of an FFQ that overestimated nutrient intake and its validation against multiple 24 h recalls.Study design: Data on 2527 participants in south India (Trivandrum) were available for the original FFQ (OFFQ) that overestimated nutrient intake (132 food items). After excluding participants with implausible energy intake estimates (<2·72 MJ/d (15·69 MJ/d (>3750 kcal/d)) we ran stepwise regression analyses with selected nutrients as the outcomes and food intake (servings/d) as predictor variables (n1867). From these results and expert consultation we refined the FFQ (RFFQ), and validated it by comparing intakes obtained with it and the mean of two 24 h recalls among 100 participants.Results: The OFFQ overestimated usual daily nutrient intake before and after exclusions [for energy: 13·39 (sd5·46) MJ (3201 (sd1305) kcal) and 10·96 (sd2·65) MJ (2619 (sd634) kcal), respectively]. In stepwise analyses, fifty-seven food items explained 90 % of the variance in nutrients; we retained thirteen food items because participants consumed them at least twice monthly and twelve food items that local nutritionists recommended. Mean energy intake estimated from the RFFQ (eighty-two food items) was 7·94 (sd2·05) MJ (1897 (sd489) kcal). The de-attenuated correlations between mean 24 h recall and RFFQ intakes ranged from 0·25 (vitamin A) to 0·82 (fat).Conclusion: We refined an FFQ that overestimated nutrient intake by shortening and redesigning, and validated it by comparisons with 24 h dietary recall data.

Background: Performance evaluation in the allied healthcare education sector is complex, making it essential for policymakers and managers to approach it comprehensively and thoughtfully to understand their performance. Hence, the development and monitoring of Key Performance Indicators (KPIs) in this domain must be considered one of the key priorities for the policymakers in AHIs. Aim: This study aims to develop a framework for the AHIs to extract and profile the indicators, measure, and report the results appropriately. Methods: The authors adopted a general review of the literature approach to study the primary goals of the institutional KPI framework, emphasizing the need for benchmarking while implementing KPIs and how to track performance using a KPI dashboard. Results: The study provides the scope, relevant KPI categories, and a list of KPIs for evaluating the effectiveness of allied healthcare programs. The study findings also emphasized the need for benchmarking the KPIs and establishing a KPI dashboard while measuring and monitoring performance. Conclusion: KPIs are considered an invaluable tool that contributes immensely to the performance monitoring process of AHIs, irrespective of the specialties. This helps to identify and guide AHIs for developing KPIs and the associated minimum data set to measure organizational performance and monitor the quality of teaching and learning. In addition, the KPI framework reported in this study is a tool to assist performance monitoring that can subsequently contribute to the overall quality of AHIs.

Population Registry of Lifestyle Diseases (PROLIFE) is a prospective cohort study aimed at the long-term follow-up of the residents of seven contiguous villages in Kerala, India. There were 161 942 subject enrolments as of 1 July 2002. The study was initiated by Health Action by People (HAP), a non-profit public health research organization.¹