Literature DB >> 21305824

Sex differences in blood pressure levels and its association with obesity indices: who is at greater risk.

Shilpi Gupta1, Satwanti Kapoor.   

Abstract

OBJECTIVE: The aim of our study was to investigate blood pressure (BP) levels and their association with different indices of body fat in adult Baniyas. DESIGN AND
SETTING: A cross-sectional survey was carried out on an endogamous group of 577 adults (307 females and 270 males) aged 25-60 years in Delhi, India.
METHODS: Data were collected for weight, height, waist circumference and blood pressure using standardized procedure. Body mass index (BMI), waist to hip ratio (WHR), waist to height ratio (WHtR) and grand mean thickness (GMT) were calculated to assess obesity. Also, the sex-specific prevalence estimates for various BP categories was calculated. Correlation was calculated between systolic and diastolic BP and various indices of obesity. Odds ratios for association of hypertension with obesity indices were obtained using multiple logistic regression.
RESULTS: Prevalence of prehypertension and hypertension was higher among males and prevalence of obesity was higher in females. Correlations of BP with all indices of obesity were significant. Odds ratio of hypertension was higher in males than in females for all the indices of obesity at 95% CI.
CONCLUSION: Although obesity was found to be higher among females, males were found to be at higher risk of hypertension. High odds ratios of obesity indicate that the optimum cut-off should be calculated for screening those who are at-risk of becoming hypertensive and thus are at the greater risk of developing cardiovascular diseases.

Entities:  

Mesh:

Year:  2010        PMID: 21305824

Source DB:  PubMed          Journal:  Ethn Dis        ISSN: 1049-510X            Impact factor:   1.847


  9 in total

1.  Optimal cut-off values of anthropometric markers to predict hypertension in North Indian population.

Authors:  Shilpi Gupta; Satwanti Kapoor
Journal:  J Community Health       Date:  2012-04

2.  Hypertension prevalence, awareness, treatment and control, and associated factors: results from a national survey, jordan.

Authors:  H Y Jaddou; A M Batieha; Y S Khader; A H Kanaan; M S El-Khateeb; K M Ajlouni
Journal:  Int J Hypertens       Date:  2011-12-01       Impact factor: 2.420

3.  A novel quantitative body shape score for detecting association between obesity and hypertension in China.

Authors:  Shukang Wang; Yanxun Liu; Fangyu Li; Hongying Jia; Longjian Liu; Fuzhong Xue
Journal:  BMC Public Health       Date:  2015-01-17       Impact factor: 3.295

4.  Body mass index relates to blood pressure among adults.

Authors:  Suman Dua; Monika Bhuker; Pankhuri Sharma; Meenal Dhall; Satwanti Kapoor
Journal:  N Am J Med Sci       Date:  2014-02

Review 5.  Prevalence of hypertension in Indian tribes: a systematic review and meta-analysis of observational studies.

Authors:  S A Rizwan; Rakesh Kumar; Arvind Kumar Singh; Y S Kusuma; Kapil Yadav; Chandrakant S Pandav
Journal:  PLoS One       Date:  2014-05-05       Impact factor: 3.240

6.  Anthropometric indices as predictors of hypertension among men and women aged 40-69 years in the Korean population: the Korean Genome and Epidemiology Study.

Authors:  Joung-Won Lee; Nam-Kyoo Lim; Tae-Hwa Baek; Sung-Hee Park; Hyun-Young Park
Journal:  BMC Public Health       Date:  2015-02-13       Impact factor: 3.295

7.  Sex differences in autonomic recovery following repeated sinusoidal resistance exercise.

Authors:  Joseph Carere; Joel S Burma; Kailey T Newel; Courtney M Kennedy; Jonathan D Smirl
Journal:  Physiol Rep       Date:  2022-04

8.  Body adiposity index: its relevance and validity in assessing body fatness of adults.

Authors:  Shilpi Gupta; Satwanti Kapoor
Journal:  ISRN Obes       Date:  2014-01-22

Review 9.  Hypertension in India: a systematic review and meta-analysis of prevalence, awareness, and control of hypertension.

Authors:  Raghupathy Anchala; Nanda K Kannuri; Hira Pant; Hassan Khan; Oscar H Franco; Emanuele Di Angelantonio; Dorairaj Prabhakaran
Journal:  J Hypertens       Date:  2014-06       Impact factor: 4.844

  9 in total

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