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  • 1
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2014
    In:  Circulation Vol. 130, No. suppl_2 ( 2014-11-25)
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 130, No. suppl_2 ( 2014-11-25)
    Abstract: Background: Diabetes mellitus (DM) is a risk factor for cardiovascular morbidity and mortality. In the current study we examine the association of hyperglycemic with left ventricular hypertrophy (LVH) independent of major correlates of LVH, such as, age, body size, blood pressure (BP) and aortic stiffness. Methods: We conducted a population-based, cross-sectional survey in 8,080 South Indians over the age of 20 years. The study included anthropometric, socioeconomic, psychosocial, BP, blood lipids, insulin, HbA1C, glucose tolerance test and carotid-femoral pulse wave velocity (PWV) assessments. Insulin resistance (IR) was defined as the 25% of the population with the highest values for homeostasis model assessment of insulin resistance (HOMA-IR). LV mass and relative wall thickness (RWT) were determined using echocardiography. LVH was defined as LV mass index (LVMI) 〉 109 g/m 2 for men and 〉 89 g/m 2 for women. Results: After the exclusion of people with hypertension, 5,841 subjects (mean age 41 years, 59% women) constituted the study sample. The mean LVMI in subjects with normoglycemia (n=3585), pre-DM (impaired fasting and/or post prandial blood sugar; n=1315) and DM (n=888) was 78.5 ± 17.5, 80.7 ± 19.4 and 87.2 ± 20.3, while mean RWT was 0.46 ± 0.09, 0.48 ± 0.09 and 0.51 ± 0.1, respectively (p 〈 0.01). After adjustments for age, sex, BMI, BP, PWV, blood lipids, history of coronary artery disease, socioeconomic and smoking status, and physical activity, when compared to persons with normoglycemia, the odds ratio (95% CI) for LVH in pre-DM and DM men was 1.12 (0.89, 1.42) and 1.37 (1.04, 1.8), respectively; the odds ratio in pre-DM and DM women was 1.07 (0.89, 1.28) and 1.4 (1.08, 1.82), respectively. Among the persons with normoglycemia those with IR the odds ratio for LVH was 1.23 (0.85, 1.78) in men and 1.01 (0.79, 1.30) in women. In the multi-linear regression models HbA1c was independently correlated with LVMI. The correlation coefficients were higher in men (β= 0.07, p 〈 0.001) compared to women (β= 0.037, p = 0.032). Conclusion: Hyperglycemia is an independent predictor of LVH in South Asian population. These findings indicate potential adverse myocardial effects of DM independent of associated risk factors, such as obesity, BP and aortic stiffness.
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2014
    detail.hit.zdb_id: 1466401-X
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  • 2
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 131, No. suppl_1 ( 2015-03-10)
    Abstract: Background: There is increasing focus on biomarkers for early detection of cardiovascular disease (CVD). Studies suggest that the ratio of triglyceride (TG)/high density lipoprotein (HDL) could be a simple marker for insulin resistant and increased cardiometabolic risk, but the association between TG/HDL ratio and CVD is not fully defined. In the current study we assess the relationship between TG/HDL ratio and subclinical CVD parameters in a South Asian population. Methods: In the cross-sectional analysis of 8080 South Indians, the assessments included left ventricular mass indexed (LVMI) to body surface area by echocardiograph, carotid intimal medial thickness (IMT), arterial stiffness by carotid-femoral pulse wave velocity (PWV) and endothelial function by brachial artery flow mediated dilatation (FMD). Generalized linear regression models were used to test the association of TG/HGL ratio with subclinical parameters. All models were adjusted for age, gender, BMI, physical activity, LDL, blood sugar, smoking, stress, and anxiety status. Results: After the exclusion of people with evidence of coronary artery disease, 7164 subjects (mean age 43 years, 58% women) constituted the study sample. The value of subclinical parameters by TG/HDL quartiles is shown in the Table. In univariate analysis, TG/HDL ratio was associated with subclinical parameters [PWV (r = 0.14), LVMI (r = 0.11), FMD (r = -0.06); IMT (r = 0.103; p 〈 0.01]. In adjusted linear regression models, TG/HDL ratio was independently associated with PWV (β = 0.029, p = 0.014) and IMT (β = 0.051, p 〈 0.01). Subsequently, in gender specific models, TG/HDL ratio was independently associated PWV and IMT only in women [PWV (β = 0.042, p = 0.006); IMT (β = 0.067, p = 0.01)] and in subgroup analysis in healthy participants below 40 years of age [PWV (β = 0.082, p 〈 0.01); IMT (β= 0.067, p = 0.01)]. Conclusion: TG/HDL ratio was independently associated with PWV and IMT in South Asian women, including apparently health young individuals.
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2015
    detail.hit.zdb_id: 1466401-X
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  • 3
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 130, No. suppl_2 ( 2014-11-25)
    Abstract: Background: Urbanization is linked to higher prevalence of cardiovascular disease (CVD). Hypertension (HTN) is a major risk factor for CVD. In this study we assess the impact of urbanization on prevalence of HTN in a population-based study in South India. Methods: In the cross-sectional analysis 8080 participants (mean age 42 years; 58% women) spread over 65 x 80 km area constituted the study sample. MODIS satellite derived land cover data at a 1 km x 1 km resolution was obtained and joined to each participant’s geolocated residential position in ArcGIS to assign urban and rural (crops, trees, shrubs and grass land cover) designations. Simultaneously, participants’ residential position in relation to urban center was assessed. The study included sytolic (SBP) and diastolic (DBP) blood pressure, anthropometric, socioeconomic, psycosocial, physcial activity assessemnts and blood work. HTN was defined as SBP ≥ 140 or DBP ≥ 90 or reported history of HTN. Results: Based on the land cover data the mean SBP and DBP (mmHg) in men (SBP: 131 ± 21; DBP: 81 ± 12) and women (SBP: 125 ± 20; DBP: 77 ± 11) living in urban environment were significantly higher when compared to men (SBP: 122 ± 18; DBP: 77 ± 11) and women (SBP: 117 ± 18; DBP: 74 ± 10) in rural environments [p 〈 0.001]. There was a significantly higher prevalence of HTN in urban men (42.1%) when compared to rural men (26.4%) [p 〈 0.001]. Similarly, the prevalence of HTN was higher in urban women (28.3%), when compared to rural women (19.1%) [p 〈 0.001]. After controlling for age, BMI, smoking, blood sugar, LDL and socioeconomic, physical activity, anxiety and stress levels, both men (OR = 1.94; 95% CI: 1.64, 2.9) and women (OR = 1.51; 95% CI: 1.28, 1.8) living in urban land cover were more likely to have HTN compared to those living in non-urban land cover. In the proximity analysis after multivariate adjustments, men (OR = 2.25; 95%CI: 1.78, 2.83) and women (OR = 1.87; 95%CI: 1.47, 2.38) residing within 0-20 km distance from urban center had significantly higher odds of HTN than the 60-80 km reference group. Conclusions: Living in an urban environment is associated with increased prevalence of HTN independent of other risk factors. Future research is needed to determine what components of the urban environment contribute to increased levels of HTN.
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2014
    detail.hit.zdb_id: 1466401-X
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  • 4
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2021
    In:  Circulation Vol. 144, No. Suppl_1 ( 2021-11-16)
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 144, No. Suppl_1 ( 2021-11-16)
    Abstract: Introduction: In India, with rapid urbanization, there is a significant increase in the prevalence of cardiovascular diseases at younger ages despite lower rates of obesity. While urbanization has led to nutrition transition, psychosocial stress and behavioral changes, these conventional risk factors do not fully explain the rapid increase in the prevalence. Hypothesis: Urbanization has had a profound impact on the physical environment leading to air pollution, urban heat islands and other effects, which are known to have an impact on metabolic health. Here we assess the impact of built environmental changes on the prevalence of metabolic syndrome (MS) in a rapidly urbanizing population in South India. Methods: Based on census data, a random sample included 8080 participants (20 to 76 years of age; 56% female) from urban, semi-urban, or rural areas spread over 80 x 80 kms. The MODIS satellite land cover data (urban, crops, trees, shrubs and grass land cover) at a 1 km x 1 km resolution was joined to participant's geolocated residential position in ArcGIS. Plus, the distance of the residential location to the urban center was mapped. MS was defined according to the AHA criteria. Multivariable regression models tested the independent association between MS and urban/built environment measures after adjusting for age, sex, physical activity, smoking, alcohol intake, socioeconomic, stress, anxiety, depression, family history of diabetes and hypertension, and energy intake levels. Results: The prevalence was higher in urban (44.6%) and semi-urban communities (35.2%) compared to rural (31.8%). In fully adjusted models, urban participants [OR: 2.11 (1.89, 2.36)], participants in urban land cover [OR: 1.57 (1.38, 1.78)) and those residing within 0 to 20 kms to the urban center [OR: 1.99 (1.7, 2.33)] , had significantly higher odds for MS, when compared to rural, participants in crops land cover and those residing 60 to 80 kms from urban center, respectively. Conclusions: There is a significantly higher prevalence of MS in urban regions. After adjusting for traditional risk factors, there is an independent association between urbanization measures and MS suggesting unaccounted factors in the physical or built environment driving the prevalence MS in urban India.
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2021
    detail.hit.zdb_id: 1466401-X
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  • 5
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 130, No. suppl_2 ( 2014-11-25)
    Abstract: Background: Studies have demonstrated strong association between short adult stature (a marker of adverse nutritional and sanitary environment in early years) and cardiovascular disease (CVD) mortality. The reasons for this association are not understood although early childhood epigenetic programming has been invoked. Here we analyze the association between adult height and CVD risk factors and subclinical vascular changes in a Southeast Asian population that has experienced rapid income growth with increasing prevalence of CVD over the last decade. Methods: In a population-based study of 8,080 South Indians (mean age 42 years; 58% women), assessments included blood pressure, socioeconomic (SE) and physical activity (PA) status, triglycerides (TG), total cholesterol (TC), glucose tolerance test, carotid intimal medial thickness (IMT), arterial stiffness by carotid-femoral pulse wave velocity (PWV) and endothelial function by brachial artery flow mediated dilatation (FMD). Results: The prevalence of CVD risk factors and values of subclinical vascular parameters by height quartile is shown in the Table. After adjustments for age, weight, SE and PA status and smoking, in comparison to highest height quartile the odds ratio (95% CI) for diabetes, hypertension and elevated levels of TG (≥ 150 mg/dl) and TC (≥ 200 mg/dl) in the lowest height quartile was 1.3 (0.97, 1.6), 1.7 (1.4 - 2.2), 1.4 (1.1, 1.8), 1.5 (1.2, 1.9) in women and 2.01 (1.5, 2.7), 1.9 (1.5, 2.5), 1.5 (1.2, 1.9), 1.9 (1.5, 2.5) in men, respectively. In multi-linear regression models that included both genders, height was independently correlated with FMD (β= 0.31, p 〈 0.01), IMT (β= 0.06, p 〈 0.01) and PWV (β= -0.06, p 〈 0.01). Conclusion: Adult Stature is an independent predictor of CVD risk factors and subclinical vascular changes. Adverse environment in early years may be one of the contributing factors to the increasing prevalence of CVD in the Southeast Asian adult population.
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2014
    detail.hit.zdb_id: 1466401-X
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  • 6
    In: The FASEB Journal, Wiley, Vol. 27, No. S1 ( 2013-04)
    Type of Medium: Online Resource
    ISSN: 0892-6638 , 1530-6860
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2013
    detail.hit.zdb_id: 1468876-1
    SSG: 12
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  • 7
    In: ISEE Conference Abstracts, Environmental Health Perspectives, Vol. 2016, No. 1 ( 2016-08-17)
    Type of Medium: Online Resource
    ISSN: 1078-0475
    Language: English
    Publisher: Environmental Health Perspectives
    Publication Date: 2016
    detail.hit.zdb_id: 2028870-0
    SSG: 27
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  • 8
    In: Arteriosclerosis, Thrombosis, and Vascular Biology, Ovid Technologies (Wolters Kluwer Health), Vol. 34, No. suppl_1 ( 2014-05)
    Abstract: Aim: Western populations demonstrate a strong role of obesity in clustering of cardiovascular (CV) risk factors. We hypothesized that obesity would not have a dominant role in the clustering of CV risk factors in South Asians, who develop CV disease at young ages despite relatively low BMI. Methods: We selected 6224 South Indians without diabetes from a population-based cross-sectional survey (mean age 42 years; 58% women) for analysis. We used gender-specific principal components analysis (PCA), a multivariate correlation technique, with orthogonal rotation (to produce interpretable factors) to test the hypothesis. The PCA was done using measures of fasting (FPG) and 2 h plasma glucose (2h PG), haemoglobin A1c (A1c), fasting insulin (FIns), triglycerides (TG) and high-density lipoprotein (HDL), diastolic (DBP) and systolic blood pressure (SBP), body mass index (BMI) and waist circumference (WC). We did separate subgroup analyses stratified by various potential modifiers. Results: The obesity indices correlated positively with CV risk variables (except HDL), regardless of gender. PCA failed to demonstrate a single dominant underlying pathological role (one component was rejected at P 〈 0.0001), but suggested three non-overlapping factors (physiological domains) underlying the clustering of the risk variables, accounting for 60% of the total variance in the data [Fig]. Obesity indices had significant positive loading (95% confidence interval 〉 0.8) only in Factor 1, which included FIns, TG, and HDL. The FPG, 2hPG and A1C were associated with Factor 2. The SBP and DBP were associated with Factor 3. The factor patterns were virtually identical among all the subgroups with coefficients of congruence close to 1.0. Conclusions: These findings are consistent with the presence of three distinct physiological domains underlying CV risk variable clustering. Obesity did not have a dominant role in the clustering of CV risk factors in the South Asian population.
    Type of Medium: Online Resource
    ISSN: 1079-5642 , 1524-4636
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2014
    detail.hit.zdb_id: 1494427-3
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  • 9
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2014
    In:  Arteriosclerosis, Thrombosis, and Vascular Biology Vol. 34, No. suppl_1 ( 2014-05)
    In: Arteriosclerosis, Thrombosis, and Vascular Biology, Ovid Technologies (Wolters Kluwer Health), Vol. 34, No. suppl_1 ( 2014-05)
    Abstract: Background: Rapid urbanization is driving economies of South Asian countries. Here we use satellite based land cover data and distance to urban center (UC) to measure of the impact of urban environment on arterial stiffness (AS) in a population based study in South India. Methods: In a cross-sectional analysis, after exclusion of people with previous history of diabetes and hypertension, 6746 subjects (mean age 42 years; 54% women) spread over 78 kms from the UC constituted the study sample. MODIS satellite derived land cover data at a 1 km x 1 km resolution was obtained and joined to each participant's geolocated residential position in ArcGIS to assign urban and rural designations. The study included carotid-femoral pulse wave velocity (PWV) measurement using a high-fidelity applanation tonometry, blood pressure (BP), anthropometric, psychosocial, high sensitive C-reactive protein (HsCRP) and other biomarkers assessments. Results: Based on land cover analysis, participants in urban locations had a mean (SD) PWV (m/s) of 7.74 (1.65) compared to 7.6 (1.62) in rural locations (p= 0.002) [Fig 1], while there was no significant difference in HsCRP levels. In multiple regression analyses adjusting for age, smoking, BMI, BP, blood glucose, LDL, socioeconomic, anxiety and stress levels, distance from UC was independently associated with PWV in men (β = -0.007, p 〈 0.001), but not in women. Standardized effect-estimates in the multi-linear regression model indicated that distance from UC had the third largest effect on PWV after age and BP. After multivariable adjustments, the largest effect of distance from UC on PWV was on non-smoking men age 46-75 years. Residing every 1 km further away from the UC corresponded with a -0.012 m/s (95%CI: -0.020, -0.003) decrease in PWV. Conclusions: Urbanization is an independent predictor of AS in men, more so in non-smoking older men. Further research will elucidate components in the urban environment that may be contributing to higher AS.
    Type of Medium: Online Resource
    ISSN: 1079-5642 , 1524-4636
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2014
    detail.hit.zdb_id: 1494427-3
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  • 10
    In: Arteriosclerosis, Thrombosis, and Vascular Biology, Ovid Technologies (Wolters Kluwer Health), Vol. 33, No. suppl_1 ( 2013-05)
    Abstract: hsCRP is a risk factor for MetS. However, the distribution of hsCRP levels and its association with MetS in South Asians is unclear. Methods We conducted a population-based cross-sectional survey in 8,042 Indians (44% males, 56% females), age ≥20 yrs in urban (n=5, 017) and rural (n=3,025) communities. The study included anthropometric measurements, and fasting blood for plasma glucose, hsCRP and lipids. MetS was defined using NCEP (ATP III) criteria for Asians. Results The median hsCRP level was 2.30 mg/l [95% confidence interval (CI) 2.24, 2.39]. Adjusting for age and BMI, the hsCRP level was significantly higher in women, median 2.86 [CI 2.73, 2.97] when compared to men, median 1.80 [CI 1.71, 1.88] (p-value 〈 10-9). Adjusting for gender, age & BMI the urban communities had significantly higher hsCRP levels versus rural (p-value = 0.03). The fig. shows the distribution of hsCRP according to the number of components of MetS. The median hsCRP for those with 0, 1, 2, 3, 4, and 5 features of MetS are 1.01, 1.47, 2.3, 3.19, 3.70 and 3.94, respectively. Based on Kruskal-Wallis H test, after adjusting the hsCRP for gender, age and community, hsCRP levels were significantly higher in individuals with more components of MetS (p-value 〈 10-9 for trend). hsCRP and BMI were relatively independent predictors of MetS. Prevalence of MetS was higher in women (prevalence ratio [PR] = 1.15; CI 1.09, 1.21) and in urban communities (PR = 1.47; CI 1.35, 1.66). Conclusions hsCRP is highly associated with the MetS and the number of positive MetS components. Geographical location and gender are predictors of hsCRP levels, which is associated with a higher incidence of MetS in urban communities and women.
    Type of Medium: Online Resource
    ISSN: 1079-5642 , 1524-4636
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2013
    detail.hit.zdb_id: 1494427-3
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