ASSESSMENT OF PRESENT SOLID WASTE MANAGEMENT PRACTICES AND IMPACTS IN SArnCALOA MUNICIPALITY LIMITS

The urban agglomerations of the developing countries have in the last two decadeswitnessed some unprecedented growth in their populations. Such growth has beenaccompanied by complex problems. The challenge of the clearing the city of solid wasteis one of the greatest problems. The management of refuse involves the collection,transportation, treatment and finally disposing of solid wastes in hygienic andauthentically acceptable manner at the lowest possible cost. The public sector agencies indeveloping countries as Sri Lanka, faces serious budgetary limitations in conductingproper solid waste management programmes.This submission presents an assessment study conducted in Batticaloa Municipalitylimits. The main objective of this submission is to assess the amount of solid wastecomposition dumped in landfill per day and examine the current problems due to thelandfill and built up a management plan for integrated solid waste management to thestudy area.The landfill is found about I.5Km away from heart of the town and O.5Km formBatticaloa lagoon. The extent of the landfill is about 7acres, depth varies from 18 to21feet and originated by illicit sand and gravel mining. Total accumulation of solid wasteper day is 61 tons. But the Batticaloa Municipality collects only 36 tons per day due toinadequate assistance. The composition of the waste goes to the landfill mainlydegradable organic waste which is about 74%. Potable water in the vicinity of landfill areexamined and found as not to meet the drinking water quality standard regard withNitrate, phosphate, and sulphate ions.

Sex-related differences in contemporary biomarkers for heart failure:a review

The use of circulating biomarkers for heart failure (HF) is engrained in contemporary cardiovascular practice and provides objective information about various pathophysiological pathways associated with HF syndrome. However, biomarker profiles differ considerably among women and men. For instance, in the general population, markers of cardiac stretch (natriuretic peptides) and fibrosis (galectin-3) are higher in women, whereas markers of cardiac injury (cardiac troponins) and inflammation (sST2) are higher in men. Such differences may reflect sex-specific pathogenic processes associated with HF risk, but may also arise as a result of differences in sex hormone profiles and fat distribution. From a clinical perspective, sex-related differences in biomarker levels may affect the objectivity of biomarkers in HF management because what is considered to be 'normal' in one sex may not be so in the other. The objectives of this review are, therefore: (i) to examine the sex-specific dynamics of clinically relevant HF biomarkers in the general population, as well as in HF patients; (ii) to discuss the overlap between sex-related and obesity-related effects, and (iii) to identify knowledge gaps to stimulate research on sex-related differences in HF

Relationship between body mass index, cardiovascular biomarkers and incident heart failure

BACKGROUND: There are limited data examining whether body-mass index (BMI) influences the association between cardiovascular biomarkers and incident heart failure (HF). METHODS AND RESULTS: Thirteen biomarkers representing key HF domains were measured: N-terminal-pro-B-type natriuretic peptide (NT-proBNP), mid-regional-pro-A-type natriuretic peptide (MR-proANP), cardiac troponin-T (cTnT), C-reactive protein, procalcitonin, galectin-3, C-terminal pro-endothelin-1 (CT-pro-ET-1), mid-regional pro-adrenomedullin, plasminogen activator inhibitor-1, copeptin, renin, aldosterone and cystatin-C. Associations of biomarkers with BMI were examined using linear regression models, and with incident HF using Cox regression models. We selected biomarkers significantly associated with incident HF, and evaluated whether BMI modified these associations. RESULTS: Among 8202 individuals, 41% were overweight (BMI 25-30kg/m2 ), and 16% were obese (BMI≥30kg/m2 ). Mean age of the cohort was 49 years (range 28-75), and 50% were women. All biomarkers except renin were associated with BMI: inverse associations were observed with NT-proBNP, MR-proANP, CT-pro-ET-1 and aldosterone whereas positive associations were observed with the remaining biomarkers (Pall ≤0.001). During 11.3±3.1 years follow-up, 357 HF events were recorded. Only NT-proBNP, MR-proANP and cTnT remained associated with incident HF (P0.1). Combined NT-proBNP and cTnT measurements modestly improved performance metrics of the clinical HF model in overweight (ΔC-statistic=0.024; LHRχ2 =38; P<0.001) and in obese (ΔC-statistic=0.020; LHRχ2 =32; P<0.001) individuals. CONCLUSIONS: Plasma concentrations of several cardiovascular biomarkers are influenced by obesity. Only NT-proBNP, MR-proANP and cTnT were associated with incident HF, and BMI did not modify these associations. A combination of NT-proBNP and cTnT improves HF risk prediction in overweight and in obese individuals. This article is protected by copyright. All rights reserved

Associations of relative fat mass and BMI with all-cause mortality:Confounding effect of muscle mass

OBJECTIVE: The study objective was to examine associations of relative fat mass (RFM) and BMI with all-cause mortality in the Dutch general population and to investigate whether additional adjustment for muscle mass strengthened these associations.METHODS: A total of 8433 community-dwelling adults from the PREVEND general population cohort (1997-1998) were included. Linear regression models were used to examine associations of RFM and BMI with 24-h urinary creatinine excretion, a marker of total muscle mass. Cox regression models were used to examine associations of RFM and BMI with all-cause mortality.RESULTS: The mean age of the cohort was 49.8 years (range: 28.8-75.7 years), and 49.9% (n = 4209) were women. In age- and sex-adjusted models, both RFM and BMI were associated with total muscle mass (24-h urinary creatinine excretion), and these associations were stronger with BMI (standardized beta [Sβ] RFM : 0.29; 95% CI: 0.27-0.31 vs. Sβ BMI : 0.38; 95% CI: 0.36-0.40; p difference  &lt; 0.001). During a median follow-up period of 18.4 years, 1640 deaths (19.4%) occurred. In age- and sex-adjusted models, RFM was significantly associated with all-cause mortality (hazard ratio per 1-SD [HR RFM ]: 1.16; 95% CI: 1.09-1.24), whereas BMI was not (HR BMI : 1.04; 95% CI: 0.99-1.10). After additional adjustment for muscle mass, associations of both RFM and BMI with all-cause mortality increased in magnitude (HR RFM : 1.24; 95% CI: 1.16-1.32 and HR BMI : 1.12; 95% CI: 1.06-1.19). Results were broadly similar in multivariable adjusted models. CONCLUSIONS: In the general population, a higher RFM was significantly associated with mortality risk, whereas a higher BMI was not. Adjusting for total muscle mass increased the strength of associations of both RFM and BMI with all-cause mortality.</p

Sex differences in associations of comorbidities with incident cardiovascular disease:Focus on absolute risk

AIM: To examine sex differences in associations of obesity, type-2 diabetes, hypertension, and atrial fibrillation (AF) with incident cardiovascular disease (CVD), focusing on absolute risk measures.METHODS AND RESULTS: We included a total of 7994 individuals (mean age 49.1 years; 51.2% women) without prior CVD from the PREVEND (Prevention of Renal and Vascular End-stage Disease) cohort with a median follow-up of 12.5 years. Using Poisson regression, we calculated the increase in absolute as well as relative CVD risk associated with a comorbidity using incidence rate differences (IRD = IR comorbidity-IR no-comorbidity) and incidence rate ratios (IRR = IR comorbidity/IR no-comorbidity), respectively. Sex differences were presented as women-to-men differences (WMD = IRD women-IRD men) and women-to-men ratios (WMR = IRR women/IRR men). Absolute CVD risk was lower in women than in men (IR women: 6.73 vs. IR men: 14.58 per 1000 person-years). While increase in absolute CVD risk associated with prevalent hypertension was lower in women than in men [WMD: -6.12, 95% confidence interval: (-9.84 to -2.40), P = 0.001], increase in absolute CVD risk associated with prevalent obesity [WMD: -4.25 (-9.11 to 0.61), P = 0.087], type-2 diabetes [WMD: -1.04 (-14.36 to 12.29), P = 0.879] and AF [WMD: 18.39 (-39.65 to 76.43), P = 0.535] did not significantly differ between the sexes. Using relative risk measures, prevalent hypertension [WMR: 1.49%, 95% confidence interval: (1.12-1.99), P = 0.006], type-2 diabetes [WMR: 1.73 (1.09-2.73), P = 0.019], and AF [WMR: 2.53 (1.12-5.70), P = 0.025] were all associated with higher CVD risk in women than in men. CONCLUSION: Increase in absolute risk of developing CVD is higher in hypertensive men than in hypertensive women, but no substantial sex-related differences were observed among individuals with obesity, type-2 diabetes and AF. On a relative risk scale, comorbidities, in general, confer a higher CVD risk in women than in men.</p

Sex differences in associations of comorbidities with incident cardiovascular disease: focus on absolute risk

AIM: To examine sex differences in associations of obesity, type-2 diabetes, hypertension, and atrial fibrillation (AF) with incident cardiovascular disease (CVD), focusing on absolute risk measures. METHODS AND RESULTS: We included a total of 7994 individuals (mean age 49.1 years; 51.2% women) without prior CVD from the PREVEND (Prevention of Renal and Vascular End-stage Disease) cohort with a median follow-up of 12.5 years. Using Poisson regression, we calculated the increase in absolute as well as relative CVD risk associated with a comorbidity using incidence rate differences (IRD = IR(comorbidity)−IR(no-comorbidity)) and incidence rate ratios (IRR = IR(comorbidity)/IR(no-comorbidity)), respectively. Sex differences were presented as women-to-men differences (WMD = IRD(women)−IRD(men)) and women-to-men ratios (WMR = IRR(women)/IRR(men)). Absolute CVD risk was lower in women than in men (IR(women): 6.73 vs. IR(men): 14.58 per 1000 person-years). While increase in absolute CVD risk associated with prevalent hypertension was lower in women than in men [WMD: −6.12, 95% confidence interval: (−9.84 to −2.40), P = 0.001], increase in absolute CVD risk associated with prevalent obesity [WMD: −4.25 (−9.11 to 0.61), P = 0.087], type-2 diabetes [WMD: −1.04 (−14.36 to 12.29), P = 0.879] and AF [WMD: 18.39 (−39.65 to 76.43), P = 0.535] did not significantly differ between the sexes. Using relative risk measures, prevalent hypertension [WMR: 1.49%, 95% confidence interval: (1.12–1.99), P = 0.006], type-2 diabetes [WMR: 1.73 (1.09–2.73), P = 0.019], and AF [WMR: 2.53 (1.12–5.70), P = 0.025] were all associated with higher CVD risk in women than in men. CONCLUSION: Increase in absolute risk of developing CVD is higher in hypertensive men than in hypertensive women, but no substantial sex-related differences were observed among individuals with obesity, type-2 diabetes and AF. On a relative risk scale, comorbidities, in general, confer a higher CVD risk in women than in men

Trajectories of renal biomarkers and new-onset heart failure in the general population:Findings from the PREVEND study

AIMS: Renal dysfunction is one of the most critical risk factors for developing heart failure (HF). However, the association between repeated measures of renal function and incident HF remains unclear. Therefore, this study investigated the longitudinal trajectories of urinary albumin excretion (UAE) and serum creatinine and their association with new-onset HF and all-cause mortality.METHODS AND RESULTS: Using group-based trajectory analysis, we estimated trajectories of UAE and serum creatinine in 6881 participants from the Prevention of Renal and Vascular End-stage Disease (PREVEND) study and their association with new-onset HF and all-cause death during the 11-years of follow-up. Most participants had stable low UAE or serum creatinine. Participants with persistently higher UAE or serum creatinine were older, more often men, and more often had comorbidities, such as diabetes, a previous myocardial infarction or dyslipidaemia. Participants with persistently high UAE had a higher risk of new-onset HF or all-cause mortality, whereas stable serum creatinine trajectories showed a linear association for new-onset HF and no association with all-cause mortality.CONCLUSION: Our population-based study identified different but often stable longitudinal patterns of UAE and serum creatinine. Patients with persistently worse renal function, such as higher UAE or serum creatinine, were at a higher risk of HF or mortality.</p

Cardiovascular Risk Factors Are Associated With Future Cancer

BACKGROUND The extent to which co-occurrence of cardiovascular disease (CVD) and cancer is due to shared risk factors or other mechanisms is unknown. OBJECTIVES This study investigated the association of standard CVD risk factors, CVD biomarkers, pre-existing CVD, and ideal cardiovascular (CV) health metrics with the development of future cancer. METHODS This study prospectively followed Framingham Heart Study and PREVEND (Prevention of Renal and Vascular End-Stage Disease) study participants free of cancer at baseline and ascertained histology-proven cancer. This study assessed the association of baseline CV risk factors, 10-year atherosclerotic (ASCVD) risk score, established CVD biomarkers, prevalent CVD, and the American Heart Association (AHA) Life's Simple 7 CV health score with incident cancer using multivariable Cox models. Analyses of interim CVD events with incident cancer used time-dependent covariates. RESULTS Among 20,305 participants (mean age 50 +/- 14 years; 54% women), 2,548 incident cancer cases occurred over a median follow-up of 15.0 years (quartile 1 to 3: 13.3 to 15.0 years). Traditional CVD risk factors, including age, sex, and smoking status, were independently associated with cancer (p < 0.001 for all). Estimated 10-year ASCVD risk was also associated with future cancer (hazard ratio [HR]: 1.16 per 5% increase in risk; 95% confidence interval [CI] 1.14 to 1.17; p < 0.001). The study found that natriuretic peptides (tertile 3 vs. tertite 1; HR: 1.40; 95% 0:1.03 to 1.91; p 0.035) were associated with incident cancer but not high-sensitivity troponin (p 0.47). Prevalent CVD and the development of interim CV events were not associated with higher risk of subsequent cancer. However, ideal CV health was associated with tower future cancer risk (HR: 0.95 per 1-point increase in the AHA health score; 95% CI: 0.92 to 0.99; p = 0.009). CONCLUSIONS CVD risk, as captured by traditional CVD risk factors, 10-year ASCVD risk score, and natriuretic peptide concentrations are associated with increased risk of future cancer. Conversely, a heart healthy lifestyle is associated with a lower risk of future cancer. These data suggest that the association between CVD and future cancer is attributable to shared risk factors. (C) 2021 The Authors. Published by Elsevier on behalf of the American College of Cardiology Foundation

Association of Cardiometabolic Disease With Cancer in the Community

BACKGROUND: Obesity and cardiometabolic dysfunction have been associated with cancer risk and severity. Underlying mechanisms remain unclear. OBJECTIVES: The aim of this study was to examine associations of obesity and related cardiometabolic traits with incident cancer. METHODS: FHS (Framingham Heart Study) and PREVEND (Prevention of Renal and Vascular End-Stage Disease) study participants without prevalent cancer were studied, examining associations of obesity, body mass index (BMI), waist circumference, visceral adipose tissue (VAT) and subcutaneous adipose tissue depots, and C-reactive protein (CRP) with future cancer in Cox models. RESULTS: Among 20,667 participants (mean age 50 years, 53% women), 2,619 cancer events were observed over a median follow-up duration of 15 years. Obesity was associated with increased risk for future gastrointestinal (HR: 1.30; 95% CI: 1.05-1.60), gynecologic (HR: 1.62; 95% CI: 1.08-2.45), and breast (HR: 1.32; 95% CI: 1.05-1.66) cancer and lower risk for lung cancer (HR: 0.62; 95% CI: 0.44-0.87). Similarly, waist circumference was associated with increased risk for overall, gastrointestinal, and gynecologic but not lung cancer. VAT but not subcutaneous adipose tissue was associated with risk for overall cancer (HR: 1.22; 95% CI: 1.05-1.43), lung cancer (HR: 1.92; 95% CI: 1.01-3.66), and melanoma (HR: 1.56; 95% CI: 1.02-2.38) independent of BMI. Last, higher CRP levels were associated with higher risk for overall, colorectal, and lung cancer (P < 0.05 for all). CONCLUSIONS: Obesity and abdominal adiposity are associated with future risk for specific cancers (eg, gastrointestinal, gynecologic). Although obesity was associated with lower risk for lung cancer, greater VAT and CRP were associated with higher lung cancer risk after adjusting for BMI