Literature DB >> 28604400

Metabolic syndrome among elderly care-home residents in southern India: A cross-sectional study.

Nirmalya Sinha1, Ananta Bhattacharya2, Pradeep Ranjan Deshmukh3, Tanmay Kanti Panja1, Shamima Yasmin1, Nimmathota Arlappa4.   

Abstract

BACKGROUND: The health of the elderly population and the emergence of noncommunicable diseases have become major public health issues in recent years. Metabolic syndrome is thought to be the main driving force for the global epidemic of cardiovascular diseases, as well as for type 2 diabetes. This cross-sectional study aimed to determine the prevalence of metabolic syndrome and its correlates among the residents of care homes for the elderly in Hyderabad city, India.
METHODS: A total 114 elderly persons (aged ≥60 years) were evaluated in a cross-sectional study. Metabolic syndrome was defined by the 2005 criteria of the International Diabetes Federation. Data were collected on selected sociodemographic, behavioural and nutritional variables and cardiometabolic risk factors. Blood pressure and anthropometric measurements were also recorded. Fasting blood samples were collected for measurement of blood glucose and serum lipid levels. Univariable logistic regression was applied to investigate the associations between metabolic syndrome and known risk factors; adjusted analysis was then done by multivariable logistic regression for significant variables.
RESULTS: The overall prevalence of metabolic syndrome was 42.1% (48/114) among the study population. A higher prevalence (50.9%; 27/53) was found among women. High blood pressure or taking antihypertensive medication was found to be the most common (95.8%; 46/48) cardiometabolic component. The risk of metabolic syndrome did not differ significantly by age group, sex, caste, religion, type of diet (vegetarian or non-vegetarian), educational status, behavioural factors such as tobacco use and alcohol intake, physical activity (assessed by modified Eastern Cooperative Oncology Group [ECOG] scale), or physical exercise. However, a body mass index ≥23 kg/m2 was associated with metabolic syndrome (unadjusted odds ratio [OR]: 8.97; 95% confidence interval [CI]: 3.78-21.28); adjusted OR: 9.31; 95% CI: 4.12-22.14)
Conclusion: The overall prevalence of metabolic syndrome in this study population of elderly care-home residents in India was more than 40%. Further research on the burden of metabolic syndrome in the elderly population is warranted.

Entities:  

Mesh:

Year:  2016        PMID: 28604400     DOI: 10.4103/2224-3151.206556

Source DB:  PubMed          Journal:  WHO South East Asia J Public Health        ISSN: 2224-3151


  6 in total

1.  Prevalence of metabolic syndrome and associated risk factors among geriatric population living in a high altitude region of rural Uttarakhand, India.

Authors:  Umesh Kapil; Ritika Khandelwal; Lakshmy Ramakrishnan; Preetika Khenduja; Aakriti Gupta; Neha Sareen; Ravindra Mohan Pandey; Hem Chandra Sati; Ravi Shankar Belwal
Journal:  J Family Med Prim Care       Date:  2018 Jul-Aug

2.  Frequency of metabolic syndrome and associated factors in institutionalized elderly individuals.

Authors:  Marcia Cristina Sales; Larissa Praça Oliveira; Laura Camila Pereira Liberalino; Aline Tuane Oliveira Cunha; Sara Estefani Soares Sousa; Telma Maria Araujo Moura Lemos; Severina Carla Vieira Cunha Lima; Kenio Costa Lima; Karine Cavalcanti Mauricio Sena-Evangelista; Lucia Fatima Campos Pedrosa
Journal:  Clin Interv Aging       Date:  2018-11-30       Impact factor: 4.458

3.  Prevalence of metabolic syndrome among adult population in India: A systematic review and meta-analysis.

Authors:  Yuvaraj Krishnamoorthy; Sathish Rajaa; Sharan Murali; Tanveer Rehman; Jayaprakash Sahoo; Sitanshu Sekhar Kar
Journal:  PLoS One       Date:  2020-10-19       Impact factor: 3.240

4.  The Regular Consumption of Nuts Is Associated with a Lower Prevalence of Abdominal Obesity and Metabolic Syndrome in Older People from the North of Spain.

Authors:  Gloria Cubas-Basterrechea; Iñaki Elío; Sandra Sumalla-Cano; Silvia Aparicio-Obregón; Carolina Teresa González-Antón; Pedro Muñoz-Cacho
Journal:  Int J Environ Res Public Health       Date:  2022-01-23       Impact factor: 3.390

5.  Rural-urban and gender differences in metabolic syndrome in the aging population from southern India: Two parallel, prospective cohort studies.

Authors:  Jonas S Sundarakumar; Albert Stezin; Abhishek L Menesgere; Vijayalakshmi Ravindranath
Journal:  EClinicalMedicine       Date:  2022-04-19

Review 6.  Association Between Anthropometric Risk Factors and Metabolic Syndrome Among Adults in India: A Systematic Review and Meta-Analysis of Observational Studies.

Authors:  Yuvaraj Krishnamoorthy; Sathish Rajaa; Sharan Murali; Jayaprakash Sahoo; Sitanshu Sekhar Kar
Journal:  Prev Chronic Dis       Date:  2022-05-05       Impact factor: 4.354

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.