Determinants of urban–rural differences in cardiovascular risk factors in middle-aged women in India: A cross-sectional study

Pandey, Ravindra Mohan; Gupta, Rajeev; Misra, Anoop; Misra, Puneet; Singh, Vijender; Agrawal, Ajay; Dey, Sanjit; Rao, Shobha; Menon, Vishnu; Kamalamma, N; Devi, K. P. Vasantha; Revathi, K; Sharma, Vinita

doi:10.1016/j.ijcard.2011.06.008

Cited by 57 publications

(62 citation statements)

References 26 publications

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“…Again, unlike developed countries, in India people from higher SES are more prone to obesity. Four studies have been carried out on female participants only 30,32,47,51 and they report similar results as those conducted on male participants, suggesting that SES affects both genders in the same way.…”

Section: Diabetesmentioning

confidence: 55%

“…The 23 studies 8,9,[12][13][14][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39] selected in this review to evaluate hypertension have used the same diagnostic criteria, which include the WHO criteria 25 as well as self-reported hypertensive cases with or without treatment. 22,27,29 The trend of hypertension among Indians is different from that of developed countries, where the problem of hypertension clearly lies with lower socioeconomic population.4 In India, there is no clear pattern for hypertension.…”

Section: Cvd Risk Factors Across Socioeconomic Status Hypertensionmentioning

confidence: 99%

“…In total, 20 studies 8,9,13,22,27,[29][30][31][32]34,[37][38][39][40][41][42][43][44][45][46] were selected for reviewing the relationship between the SES and diabetes. Diagnostic criteria were either based on the guidelines of ICMR, 37 WHO, 9 American Health Association 30 or on self-reported or known cases of diabetes.…”

Section: Diabetesmentioning

confidence: 99%

“…Diagnostic criteria were either based on the guidelines of ICMR, 37 WHO, 9 American Health Association 30 or on self-reported or known cases of diabetes. Out of 25 associations that we have examined w.r.t.…”

Section: Diabetesmentioning

confidence: 99%

“…Sixteen studies 9,14,22,23,26,[27][28][29][30]32,37,39,[54][55][56][57] were reviewed to determine the effect of sedentary lifestyle on CVD. In these studies, varied criteria were used for measuring sedentary lifestyle, including Johnson Space Centre (JSC) physical activity scale, 51 MET scores calculated using WHO's Global Physical Activity Questionnaire 43,53 Paffenberger's criteria 23 and the scale developed by Bharthi et al 26,27 Out of the 18 studied associations w.r.t.…”

Section: Sedentary Lifestylementioning

confidence: 99%

See 4 more Smart Citations

Socioeconomic Patterning of Cardiovascular Disease and its Risk Factors among Indians: A Systematic Review of Literature

Singh¹,

Dixit²

2017

IJMEDPH

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Section: Diabetesmentioning

confidence: 55%

Section: Cvd Risk Factors Across Socioeconomic Status Hypertensionmentioning

confidence: 99%

Section: Diabetesmentioning

confidence: 99%

Section: Diabetesmentioning

confidence: 99%

Section: Sedentary Lifestylementioning

confidence: 99%

See 3 more Smart Citations

Socioeconomic Patterning of Cardiovascular Disease and its Risk Factors among Indians: A Systematic Review of Literature

Singh¹,

Dixit²

2017

IJMEDPH

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Medicine, Alternative Medicine, and Political Ecologies of the Body

Alter¹

2016

A Companion to the Anthropology of Environmental Health

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Food Insecurity and Malnutrition among Indian Older Adults: Findings from Longitudinal Ageing Study in India, 2017-18

Kandapan

Pradhan

2022

Population Ageing

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The study aims to assess the prevalence of food insecurity and malnutrition and to investigate the association between food insecurity, sociodemographic characteristics, and malnutrition among Indian older adults. Data for 28,004 older adults (60 + years) was extracted from Wave-1 of the Longitudinal Aging Study in India, 2017-18. Bivariate analysis was used for prevalence estimates. Multinomial logistic regression provided relative risk ratios (RRR) to determine the association. About 45% of older adults were food insecure and nearly half were malnourished (underweight − 26.7%, overweight − 22.2%). Overweight was widespread in southern, western, and northern India, while underweight and food insecurity were widespread in central, eastern, and north-eastern India. Food insecure older adults were significantly more likely to be underweight (mild: RRR = 1.105, 95% CI = 1.038–1.176; severe: RRR = 1.327, 95% CI = 1.186–1.485). Rather than severe food insecurity, those with moderate food insecurity have the least likelihood of being overweight. Being the oldest, male, widowed, divorced/separated/deserted, having fewer years of schooling, living in a ST or SC household, and in rural areawere associated with higher risk of being underweight; while their other counterparts were of being overweight. No association was found between working status and underweight, meanwhile the non-working older adults were less likely to be overweight (RRR = 0.804, 95% CI = 0.744–0.868). Underweight is strongly linked to food insecurity. In terms of food insecurity and malnutrition, the most vulnerable categories identified include oldest old, widowed, divorced/separated/deserted, SC, ST, economically weaker, and persons without or with only a few years of formal education.

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Determinants of urban–rural differences in cardiovascular risk factors in middle-aged women in India: A cross-sectional study

Cited by 57 publications

References 26 publications

Socioeconomic Patterning of Cardiovascular Disease and its Risk Factors among Indians: A Systematic Review of Literature

Socioeconomic Patterning of Cardiovascular Disease and its Risk Factors among Indians: A Systematic Review of Literature

Medicine, Alternative Medicine, and Political Ecologies of the Body

Food Insecurity and Malnutrition among Indian Older Adults: Findings from Longitudinal Ageing Study in India, 2017-18

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