Clustering of cardiometabolic risk factors in Asian Indian women

Author(s):  
Minakshi Bhagat ◽  
Sangita Mukherjee ◽  
Priyanka De ◽  
Riddhi Goswami ◽  
Susil Pal ◽  
...  
F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 634
Author(s):  
Cathy O'Callaghan ◽  
Uday Yadav ◽  
Sudha Natarajan ◽  
Saroja Srinivasan ◽  
Ritin Fernandez

Abstract Background: There has been a rise in multimorbidity as people age and technology advances which is challenging for health systems. Multimorbidity prevalence varies globally due to various biological and social risk factors which can be accentuated or mitigated for populations in migration. This study investigated the prevalence and predictors of multimorbidity amongst a group of migrant Asian Indian women living in Australia. Methods: A cross-sectional descriptive study design using convenience sampling investigated the multimorbidity risk factors among first generation migrant Asian Indian women in Australia.  This study was part of a larger study titled “Measuring Acculturation and Psychological Health of Senior Indian Women Living in Australia” that was conducted in Sydney, Australia. Data were collected using validated instruments as well as investigator developed questions. Women completed questionnaire surveys either by themselves or through the assistance of bilingual coordinators as English was not their first language. Results: 26% of the participants had one chronic condition and 74% had multimorbidities. The prevalence of individual conditions included cardiovascular disease 67.0%, osteoarthritis 57.6%, depression 37.4%, diabetes 31.5%, chronic respiratory conditions 10.8%, cancer 4.9% and nephrological problems 1.47%. In the unadjusted model, factors such as increasing age, education level, employment status, living arrangements, low physical activity, and elements of acculturative stress were significantly associated with multimorbidity. Multi-variable analysis identified the acculturative stress factor of threat to ethnic identity as a predictor of multimorbidity. Conclusion:  Identifying the key determinants of multimorbidity in older adults from a migrant community with pre-existing risk factors can assist with the development of culturally appropriate strategies to identify people at risk of health conditions and to mitigate the health effects of acculturative stress.


2021 ◽  
pp. 1-8
Author(s):  
Plaban Chaudhuri ◽  
Mithun Das ◽  
Indrani Lodh ◽  
Riddhi Goswami

<b><i>Introduction:</i></b> Women with family history of diabetes (FHD) are at significantly increased risk of developing gestational diabetes mellitus which may eventually lead to type 2 diabetes mellitus (T2DM) in later life. <b><i>Objective:</i></b> This study investigates the role of FHD on metabolic markers and gene polymorphisms and hence on T2DM susceptibility in nondiabetic pregnant women and the subsequent risks in their newborns. <b><i>Materials and Methods:</i></b> The present study was conducted on 200 healthy (nondiabetic and normotensive) adult Asian Indian women, including 100 with and 100 without FHD, living in and around Kolkata, India. During the gestational period, they were studied twice and followed up till delivery. During delivery, both mothers’ venous blood and cord blood were collected to estimate serum CRP, glucose, and lipid profiles of the respective mothers and their newborns. Genotyping of PPARγ and TCF7L2 polymorphisms was done from these blood samples. <b><i>Results:</i></b> A comparison of the metabolic variables among the subjects with and without FHD revealed significant differences among them. We also found close relationship between mothers and their newborn babies in terms of both PPARγ (rs1801282) C/G and TCF7L2 (rs7903146) C/T polymorphisms. More specifically, genotyping results for mothers with FHD and their newborn babies showed high concordance in inheritance of alleles: (i) for PPARγ via the risk allele G (74.0%) which is carried over to the newborn babies (64.5%) and (ii) for TCF7L2 via the risk allele T (73.0%) which is carried over to the newborn babies (68.5%). <b><i>Conclusion:</i></b> This study leads to the conclusion that Asian Indian women population based in Kolkata, India, are ethnically and genetically predisposed to the risk factors of diabetes through FHD, which is reflected in their gestational phase, and it has a significant implication on their birth outcomes.


Metabolism ◽  
2007 ◽  
Vol 56 (7) ◽  
pp. 961-968 ◽  
Author(s):  
Viswanathan Mohan ◽  
Mohan Deepa ◽  
Syed Farooq ◽  
K.M. Venkat Narayan ◽  
Manjula Datta ◽  
...  

2020 ◽  
Vol 37 (6) ◽  
pp. 1058-1065
Author(s):  
Y. Gupta ◽  
A. Goyal ◽  
M. Kalaivani ◽  
S. Singhal ◽  
N. Bhatla ◽  
...  

Author(s):  
Sanem Kayhan ◽  
Nazli Gulsoy Kirnap ◽  
Mercan Tastemur

Abstract. Vitamin B12 deficiency may have indirect cardiovascular effects in addition to hematological and neuropsychiatric symptoms. It was shown that the monocyte count-to-high density lipoprotein cholesterol (HDL-C) ratio (MHR) is a novel cardiovascular marker. In this study, the aim was to evaluate whether MHR was high in patients with vitamin B12 deficiency and its relationship with cardiometabolic risk factors. The study included 128 patients diagnosed with vitamin B12 deficiency and 93 healthy controls. Patients with vitamin B12 deficiency had significantly higher systolic blood pressure (SBP), diastolic blood pressure (DBP), MHR, C-reactive protein (CRP) and uric acid levels compared with the controls (median 139 vs 115 mmHg, p < 0.001; 80 vs 70 mmHg, p < 0.001; 14.2 vs 9.5, p < 0.001; 10.2 vs 4 mg/dl p < 0.001; 6.68 vs 4.8 mg/dl, p < 0.001 respectively). The prevalence of left ventricular hypertrophy was higher in vitamin B12 deficiency group (43.8%) than the control group (8.6%) (p < 0.001). In vitamin B12 deficiency group, a positive correlation was detected between MHR and SBP, CRP and uric acid (p < 0.001 r:0.34, p < 0.001 r:0.30, p < 0.001 r:0.5, respectively) and a significant negative correlation was detected between MHR and T-CHOL, LDL, HDL and B12 (p < 0.001 r: −0.39, p < 0.001 r: −0.34, p < 0.001 r: −0.57, p < 0.04 r: −0.17, respectively). MHR was high in vitamin B12 deficiency group, and correlated with the cardiometabolic risk factors in this group, which were SBP, CRP, uric acid and HDL. In conclusion, MRH, which can be easily calculated in clinical practice, can be a useful marker to assess cardiovascular risk in patients with vitamin B12 deficiency.


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