Significant lipid, adiposity and metabolic abnormalities amongst 4535 Indians from a developing region of rural Andhra Pradesh

Chow, Clara K; Naidu, S. Appala; Raju, Krishnam; Raju, Rama; Joshi, Rohina; Sullivan, David; Celermajer, David S.; Neal, Bruce

doi:10.1016/j.atherosclerosis.2007.02.027

Cited by 91 publications

(70 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These estimates are lower than those reported in two studies from rural Andhra Pradesh. 4,11 Another multi-centric study among industrial worker families, 12 (age 20e69 years) also reported that40% of all participants were exposed to tobacco and about 30%had central obesity. The prevalence of known hypertension in this study was similar to that in our study (10%), while that of incident hypertension was lower (30%).…”

Section: Discussionmentioning

confidence: 99%

Prevalence of cardiovascular risk factors among rural population of elderly in Wardha district

Joshi

Taksande

Kalantri

et al. 2013

Journal of Cardiovascular Disease Research

View full text Add to dashboard Cite

a b s t r a c tBackground: Cardiovascular diseases (CVD) are a leading cause of mortality among adults in India, and their risk factors (tobacco, hypertension, diabetes, overweight, and obesity) are common. Most risk-factor surveys have focused on young and middle aged adults. We measured the prevalence of risk factors for CVD among elderly (age 60 years or more) in rural India. Methods and results: In a door-to-door cross-sectional survey we did a non-laboratory based assessment of risk factors (smoking or tobacco use in any form, diabetes mellitus, either known or newly detected hypertension, abnormal waist-hip-ratio, or a high body mass index) among elderly living in 23 villages in rural central India. Laboratory based assessment of risk factors was done in those who had two or more of the five measured conventional risk factors. We compared the distribution of risk factors between men and women. Among 2424 elderly included in the study (51% women, mean age 67), the prevalence of smokeless tobacco use was 50.8% (95% CI 48.1e52.8; smoking 10.5% (95% CI 9.3e11.8); and hypertension46.3% (95% CI 44.3e48.4). Only 10.2% participants were previously known to have had hypertension, and remaining 36.1% were detected to be hypertensive during the survey. A total of 8.2%(95% CI 7.0e9.5) participants were overweight and 4.1% (95% CI 3.3e4.9) had central obesity. The prevalence of dyslipidemia in those who underwent blood based tests was 40.6% (95% CI 36.5e44.9); and hyperglycemia 4.9% (95% CI 3.2e7.1). Conclusions: Strategies to reduce the risk of cardiovascular disorders among elderly should be focused on reducing tobacco use and early detection and optimal control of hypertension.

show abstract

Section: Discussionmentioning

confidence: 99%

Prevalence of cardiovascular risk factors among rural population of elderly in Wardha district

Joshi

Taksande

Kalantri

et al. 2013

Journal of Cardiovascular Disease Research

View full text Add to dashboard Cite

show abstract

“…16 . While hypertension was 13 percent in rural adults more than 30 years of age in Jammu, Chow et al reported 27 percent hypertension in rural adults > 30 years of Andhra Pradesh 17,18 . This was similar to that reported from industrialized economies [19][20][21] .…”

Section: Statistical Analysis Usedmentioning

confidence: 99%

Prevalence and Covariates of Undiagnosed Hypertension in the Adult Population of Puducherry, South India

Bharati

Nandi

Yamuna

et al. 2012

Nepal J Epidemiology

View full text Add to dashboard Cite

show abstract

“…1 This problem is not limited to the United States; similar trends are emerging from Europe, 2 China 3 and India. 4 In England, it is estimated that the prevalence of obesity will be a staggering 32.1% by 2012 if current trends continue. 5 It is well-established that obese patients have higher rates of chronic diseases and higher rates of mortality.…”

Section: Introductionmentioning

confidence: 99%

Impact of body mass index on perioperative outcomes during the learning curve for robot assisted radical prostatectomy

Chalasani¹,

Martínez²,

Lim³

et al. 2010

CUAJ

View full text Add to dashboard Cite

Introduction: Previous studies of robotic-assisted radical prostatectomy (RARP) have suggested that obesity is a risk factor for worse perioperative outcomes. We evaluated whether body mass index (BMI) adversely affected perioperative outcomes. Methods: A prospective database of 153 RARP (single surgeon) was analyzed. Obesity was defined as BMI ≥ 30 kg/m 2 ; normal BMI < 25 kg/m 2 ; and overweight as 25 to 30 kg/m 2 . Two separate analyses were performed: the first 50 cases (the initial learning curve) and the entire cohort of 153 RARP. Results: In the initial cohort of 50 cases (14 obese patients), there was no statistically significant difference with regards to operative times, port-placement times and estimated blood loss (EBL). Length of stay (LOS) was longer in the obese group (4.3 vs. 2.9 days); BMI remained an independent predictor of increased LOS on multivariate linear regression analysis (p = 0.002). There was no statistically significant difference in the postoperative outcomes of leak rates, margin rates and incisional herniae. In the entire cohort, when comparing obese patients to those with a normal BMI, there was no statistically significant difference in operative times, EBL, LOS, or immediate postoperative outcomes. However, on multivariate linear regression analysis, BMI was an independent predictor of increased operative time (p = 0.007). Conclusion: Obese patients do not have an increased risk of blood loss, positive margins or the postoperative complications of incisional hernia and leak during the learning curve. They do, however, have slightly longer operative times; we also noted an increased LOS in our first 50 cases. RésuméIntroduction : Des études antérieures sur la prostatectomie radicale assistée par robot (PRAR) ont laissé entendre que l'obésité était un facteur de risque de complications périopératoires. Nous avons évalué si l'indice de masse corporelle (IMC) affectait de façon négative les résultats de l'opération. Méthodologie : Une base de données prospective comptant 153 PRAR (effectuées par un seul chirurgien) a été analysée. On a défini l'obésité comme un IMC ≥ 30 kg/m 2 , un IMC normal étant < 25 kg/m 2 , et un IMC entre 25 et 30 kg/m 2 représentant un surplus de poids. Deux analyses distinctes ont été réalisées : les 50 premiers cas (courbe d'apprentissage initiale) et la cohorte entière des 153 patients ayant subi une PRAR. Résultats :Dans la cohorte initiale de 50 cas (dont 14 patients obèses), on n'a noté aucune différence significative sur le plan statistique en ce qui concerne la durée de l'opération, le temps requis pour installer l'accès vasculaire et la perte de sang approximative. La durée du séjour était plus longue dans le groupe des patients obèses (4,3 contre 2,9 jours), et l'IMC est demeuré un facteur indépendant de prédiction d'une durée prolongée du séjour lors de l'analyse de régression linéaire multivariée (p = 0,002). Aucune différence significative sur le plan statistique n'a été notée dans les résultats postopératoires quant aux taux de fuite, ...

show abstract

Significant lipid, adiposity and metabolic abnormalities amongst 4535 Indians from a developing region of rural Andhra Pradesh

Cited by 91 publications

References 31 publications

Prevalence of cardiovascular risk factors among rural population of elderly in Wardha district

Prevalence of cardiovascular risk factors among rural population of elderly in Wardha district

Prevalence and Covariates of Undiagnosed Hypertension in the Adult Population of Puducherry, South India

Impact of body mass index on perioperative outcomes during the learning curve for robot assisted radical prostatectomy

Contact Info

Product

Resources

About