Correlates of metabolic syndrome and prevalence among urban population of Agra, Uttar Pradesh, India

Kaushal, Sunil; Gupta, Vinita; Prakash, Gyan; Misra, Sunil

doi:10.18203/2394-6040.ijcmph20164293

Cited by 6 publications

(9 citation statements)

References 14 publications

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“…It was observed that the association between socioeconomic status and metabolic syndrome was significant as also observed by Kaushal et al An important reason for this difference may be the level of activity associated with different professions. 7 Though prevalence of metabolic syndrome was found to be higher in married as compared to those who are unmarried or widowed/ divorcee, the difference was not significant statistically (p=0.23). Similar observations were made by Venugopal et al 71.8% of the respondents were Hindus.…”

Section: Sociodemographic Factorsmentioning

confidence: 82%

“…Banerjee et al6 have seen that metabolic syndrome was present in 44.6% of the study subjects in urban area of West Bengal and Kaushal et al observed that 37.1% of the study subjects living in urban area of Agra had metabolic syndrome. 7 On the other hand, Sawant et al in their campbased study in urban area of Mumbai reported prevalence of metabolic syndrome to be 19.52%. 1 Kamble et al in their community-based study reported that only 5% of the adults living in rural areas of Wardha had the same condition.…”

Section: Discussionmentioning

confidence: 96%

“…But Kaushal et al found in urban areas of Agra that occurrence of metabolic syndrome was not associated with education. 7 Chi-square test revealed that the association between occupation and occurrence of metabolic syndrome was not significant (p=0.52). Kaushal et al also reported similar results.…”

Section: Sociodemographic Factorsmentioning

confidence: 91%

“…4,13 Kaushal et al found that the prevalence of metabolic syndrome was highest in the age group of 35-54 years and the difference was significant. 7 Increase in obesity and decrease is physical activity associated with aging may be responsible for this phenomenon which lead to increase in insulin resistance. 4 Prevalence of metabolic syndrome was found to be higher in females.…”

Section: Sociodemographic Factorsmentioning

confidence: 99%

“…Kaushal et al also reported similar results. 7 Modified Kuppuswamy socioeconomic status scale was used to assess the socioeconomic status of the study subjects. It was observed that the association between socioeconomic status and metabolic syndrome was significant as also observed by Kaushal et al An important reason for this difference may be the level of activity associated with different professions.…”

Section: Sociodemographic Factorsmentioning

confidence: 99%

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Prevalence of metabolic syndrome and associated factors in an urban area of Bihar

Kumar

Chandra

Lal

2020

Int J Community Med Public Health

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Background: Metabolic syndrome is a conglomeration of physiological, biochemical and clinical abnormalities which include insulin resistance, hypertension and dyslipidemia and leads to increased risk of cardiovascular disorders, stroke and diabetes. Its prevalence ranges from 11-56% in India.Methods: The present study was community based cross sectional in nature conducted upon 344 adults above 18 years of age and living in the urban area. Cluster sampling was done for selection of respondents. Pretested proforma was used for data collection which contained questions related to sociodemographic profile of the study subjects, anthropometric measurements and results of biochemical investigations.Results: About one-fourth of the respondents were below 30 years of age. 52% were males. 32.8% were suffering from metabolic syndrome. Physical activity assessment revealed that 46.2% of them were having sedentary life style. 79.7% of them did not consume fruits and 82% of them did not consume vegetables as recommended.16% used tobacco in any form and 9.9% took alcohol. Lack of physical activity and less consumption of fruits & vegetables were significantly associated with metabolic syndrome.Conclusions: Metabolic syndrome was significantly associated with age, education, socioeconomic status, physical activity and consumption of fruits & vegetables.

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Section: Sociodemographic Factorsmentioning

confidence: 82%

Section: Discussionmentioning

confidence: 96%

Section: Sociodemographic Factorsmentioning

confidence: 91%

Section: Sociodemographic Factorsmentioning

confidence: 99%

Section: Sociodemographic Factorsmentioning

confidence: 99%

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Prevalence of metabolic syndrome and associated factors in an urban area of Bihar

Kumar

Chandra

Lal

2020

Int J Community Med Public Health

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Cardio-Metabolic Risk Analysis in Youths from North East India (Tripura)

Nath,

Choudhuri

2023

Healthcare Research and Related Technologies

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Prevalence and correlates of metabolic syndrome among rural women in Mysore, India

Krupp

Adsul

Wilcox

et al. 2020

Indian Heart Journal

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Aims Metabolic Syndrome (MetS) is a strong predictor of Coronary Heart Disease (CHD). Studies in urban India have found about one-third of Indians suffer from MetS. Less is known about the prevalence of MetS in rural areas, where 70% of the population reside. This study examined the prevalence of Metabolic Syndrome in a population of rural women in India. Methods Data were gathered in a community-based study of 500 rural and tribal women residing in the Mysore district, between the age of 30–59 years. The study used the WHO STEPS approach, in which information on demographics and behavioral risk factors were collected. Along with anthropometric measurements, blood pressure, blood glucose, lipids were measured. A harmonized definition of MetS recommended by International Diabetes Federation Task Force on Epidemiology and Prevention was used in this study. Results Three out of five study participants were found to have MetS (47.1%, n = 223). Of those, 56.5% met 3 of the 5 criteria, 32.2% met 4 criteria, and 11.2% met all 5 criteria. Among the entire sample, low HDL was the most prevalent criterion (88.4%), followed by elevated glucose (57.9%), elevated triglycerides (49.3%), elevated BP (41.5%), and increased waist circumference (15.3%). In this sample, women with METS were generally older ( p < 0.001), housewives ( p = 0.001), that consumed salty highly processed foods ( p = 0.020) and had low physical activity ( p = 0.015). Conclusions This study showed a high prevalence of MetS in rural women. There is a compelling need for interventions aimed at reducing CHD risk factors in this population.

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Correlates of metabolic syndrome and prevalence among urban population of Agra, Uttar Pradesh, India

Cited by 6 publications

References 14 publications

Prevalence of metabolic syndrome and associated factors in an urban area of Bihar

Prevalence of metabolic syndrome and associated factors in an urban area of Bihar

Cardio-Metabolic Risk Analysis in Youths from North East India (Tripura)

Prevalence and correlates of metabolic syndrome among rural women in Mysore, India

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