Prevalence and predictors of multimorbidity among immigrant Asian Indian women residing in Sydney Australia: A cross-sectional study

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.

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Migrating husbands and changing cardiovascular risk factors in the wife: a cross sectional study in Asian Indian women

Journal of Epidemiology & Community Health ◽

10.1136/jech-2011-200101 ◽

2011 ◽

Vol 66 (10) ◽

pp. 881-889 ◽

Cited By ~ 17

Author(s):

Rajeev Gupta ◽

Rajiv Gupta ◽

Aachu Agrawal ◽

Anoop Misra ◽

Soneil Guptha ◽

...

Keyword(s):

Risk Factors ◽

Cardiovascular Risk ◽

Cardiovascular Risk Factors ◽

Asian Indian ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Indian Women ◽

Asian Indian Women

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Lower vitamin D levels are associated with higher blood glucose levels in Asian Indian women with pre-diabetes: a population-based cross-sectional study in North India

BMJ Open Diabetes Research & Care ◽

10.1136/bmjdrc-2017-000501 ◽

2018 ◽

Vol 6 (1) ◽

pp. e000501 ◽

Cited By ~ 2

Author(s):

Surya Prakash Bhatt ◽

Anoop Misra ◽

Seema Gulati ◽

Naamrata Singh ◽

Ravindra Mohan Pandey

Keyword(s):

Vitamin D ◽

Blood Glucose ◽

Vitamin D Deficiency ◽

Asian Indian ◽

Population Based ◽

North India ◽

Cross Sectional ◽

Indian Women ◽

Vitamin D Levels ◽

Asian Indian Women

BackgroundAsian Indian women are predisposed to develop obesity, metabolic syndrome and vitamin D deficiency. Relationship of vitamin D deficiency with blood glucose levels has not been explored in Asian Indian women with pre-diabetes.ObjectiveWe evaluated the associations of serum 25-hydroxy vitamin D (25(OH)D) concentrations among adult women with the pre-diabetes residing in North India (Delhi).MethodsThis cross-sectional population-based study involved 797 women with pre-diabetes aged 20–60 years. Blood pressure, body mass index (BMI), fasting blood glucose (FBG), extent of sun exposure and serum 25(OH)D levels were assessed. For purpose of analysis, serum 25(OH)D levels (nmol/L) were categorized in quintiles as follows: 0–21.5 (first quintile), 21.51–35.60 (second quintile), 35.61–46.50 (third quintile), 46.51–62.30 (fourth quintile) and >62.31 (fifth quintile).ResultThe prevalence (%) of vitamin D deficiency, insufficiency and sufficiency was 68.6, 25.9 and 5.5, respectively. Mean age (p=0.004), systolic (p=0.05) and diastolic (p=0.04) blood pressure, weight (p=0.03), BMI (p=0.04) and FBG (p=0.02) were significantly higher in subjects with vitamin D deficiency as compared with those with vitamin D insufficiency and sufficiency. Unadjusted mean values of FBG were significantly decreased in fourth (p=0.02) and fifth quintiles (p=0.030) of 25(OH)D levels as compared with second quintile. Furthermore, after adjusting for age and family income FBG levels were significantly increased in first quintile (compared with fourth (p=0.012) and fifth (p=0.018) quintiles) and second quintile (compared with fourth (p=0.003) and fifth (p=0.004) quintiles) of 25(OH)D levels, respectively.ConclusionLower vitamin D levels are associated with higher blood glucose values in Asian Indian women with pre-diabetes. These findings need confirmation in case–control and prospective studies.

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Role of Metabolic Risk Factors, Family History, and Genetic Polymorphisms (PPARγ and TCF7L2) on Type 2 Diabetes Mellitus Risk in an Asian Indian Population

Public Health Genomics ◽

10.1159/000514506 ◽

2021 ◽

pp. 1-8

Author(s):

Plaban Chaudhuri ◽

Mithun Das ◽

Indrani Lodh ◽

Riddhi Goswami

Keyword(s):

Diabetes Mellitus ◽

Risk Factors ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Asian Indian ◽

Risk Allele ◽

Indian Women ◽

Asian Indian Women

Introduction: 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. Objective: 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. Materials and Methods: 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. Results: 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%). Conclusion: 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.

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Clustering of cardiometabolic risk factors in Asian Indian women

Menopause The Journal of The North American Menopause Society ◽

10.1097/gme.0b013e3181bfac28 ◽

2010 ◽

Vol 17 (2) ◽

pp. 359-364 ◽

Cited By ~ 13

Author(s):

Minakshi Bhagat ◽

Sangita Mukherjee ◽

Priyanka De ◽

Riddhi Goswami ◽

Susil Pal ◽

...

Keyword(s):

Risk Factors ◽

Asian Indian ◽

Cardiometabolic Risk ◽

Cardiometabolic Risk Factors ◽

Indian Women ◽

Asian Indian Women

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PA.04 Effects of additional lay support for pregnant women with social risk factors on antenatal attendance and maternal psychological health: a randomised controlled trial (ELSIPS)

Archives of Disease in Childhood - Fetal and Neonatal Edition ◽

10.1136/archdischild-2014-306576.49 ◽

2014 ◽

Vol 99 (Suppl 1) ◽

pp. A18.1-A18 ◽

Cited By ~ 3

Author(s):

S Kenyon ◽

K Jolly ◽

K Hemming ◽

L Ingram ◽

J Blissett ◽

...

Keyword(s):

Risk Factors ◽

Randomised Controlled Trial ◽

Pregnant Women ◽

Psychological Health ◽

Controlled Trial ◽

Social Risk ◽

Social Risk Factors ◽

Antenatal Attendance ◽

Randomised Controlled

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Gestational weight gain and pregnancy outcomes in relation to body mass index in Asian Indian women

Indian Journal of Endocrinology and Metabolism ◽

10.4103/ijem.ijem_557_16 ◽

2017 ◽

Vol 21 (4) ◽

pp. 588 ◽

Cited By ~ 11

Author(s):

Viswanathan Mohan ◽

Balaji Bhavadharini ◽

RanjitMohan Anjana ◽

Mohan Deepa ◽

Gopal Jayashree ◽

...

Keyword(s):

Body Mass Index ◽

Weight Gain ◽

Gestational Weight Gain ◽

Body Mass ◽

Asian Indian ◽

Pregnancy Outcomes ◽

Indian Women ◽

Gestational Weight ◽

Asian Indian Women

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A study on predictors of low birth weight

International Journal of Contemporary Pediatrics ◽

10.18203/2349-3291.ijcp20211078 ◽

2021 ◽

Vol 8 (4) ◽

pp. 689

Author(s):

Jillela Mahesh Reddy ◽

Sasi Priya Aravalli

Keyword(s):

Risk Factors ◽

Birth Weight ◽

Low Birth Weight ◽

Signs And Symptoms ◽

Educational Status ◽

Premature Delivery ◽

Social Risk ◽

Social Risk Factors ◽

Maternal Weight ◽

Cross Sectional

Background: purpose of this study was to determine prevalence of maternal and social risk factors of low birth weight. The purpose of this study is to prevalence of maternal and social risk factors of low birth weight.Methods: The cross-sectional and comparative study was carried out by reviewing medical records of newborn delivered for one year in 250 newborn. Birth weight was categorized into two as low birth weight (birth weight <2500 grams), considered as cases, and normal birth weight (birth weight ≥2500 grams), considered as controls or the reference birth weight.Results: In our study mother’s age, socioeconomic, educational status, occupation as significant variables to be associated with low birth weight. caesarean section increased significantly with decrease in gestational age and maternal weight, history of abortion, iron supplementation Hypertension, anemia, and DM are Predictors of maternal and obstetric with low birth weight.Conclusions: Prompt identification of causes and prevention of premature delivery, proper knowledge of signs and symptoms of pregnancy complications, and preventing any physical trauma or its potential causes are recommended during pregnancy to prevent low birth weight.

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